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Physical Examination

Physical Examination: A comprehensive assessment of an individual's physical health, involving a systematic evaluation of the body's structures and functions.
This process typically includes visual inspection, palpation, auscultation, and other diagnostic techniques to gather information about the patient's condition.
The goal of the physical examination is to identify any abnormalities or changes that may indicate the presence of a disease or disorder, as well as to establish a baseline for the patient's overall health.
Accurate and reproducible physical examination protocols are crucial for effective medical diagnosis and treatment, and can be optimized using AI-driven platforms like PubCompare.ai to ensure the most reliable and effective methods are utilized.

Most cited protocols related to «Physical Examination»

Pilon generates a modified genome as a FASTA file, including all single-base, small indel, gap filling, mis-assembly and large-event corrections from the input genome. In the assembly improvement case, this is the improved assembly consensus. In variant detection mode, this is the reference sequence which has been edited to represent the consensus of the given sample more closely.
Pilon can optionally generate a Variant Call Format (VCF) [http://vcftools.sourceforge.net/specs.html] file, which lists copious detailed information about the base and indel evidence at every base position in the genome, including two scores regarding variant quality: the QUAL column, and a depth-normalized call quality (QD) field in the INFO column. For additional details on the VCF format, we refer to the VCF specification referred above. Changes generated by local reassembly, often triggered by larger polymorphisms in variant calling applications, are included as structural variant records (SVTYPE  =  INS and SVTYPE  =  DEL). Pilon can also, optionally, generate a “changes” file which lists the edits applied from input to output genome in tabular form, including source and destination coordinates and source and destination sequence. Finally, Pilon will optionally (with the —tracks option) output a series of visualization tracks (“bed” and “wig” files) suitable for viewing in genome browsers such as IGV [35] (link) and GenomeView [36] (link). Tracks include basic metrics across the genome, such as sequence coverage and physical coverage, as well as some of the calculated metrics Pilon uses in its heuristics for finding potential areas of mis-assembly, such as percentage of valid read pairs covering every location.
Pilon's standard output also contains useful information, including coverage levels, percentage of the input genome confirmed, a summary of the changes made, as well as some specifically flagged issues which were not corrected, such as potentially large collapsed repeat regions, potential regions of mis-assembly which were not able to be corrected, and detected tandem repeats that were not resolved.
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Publication 2014
Genetic Polymorphism Genome INDEL Mutation Physical Examination Tandem Repeat Sequences
Class I additive force fields (see equation 1), which do not explicitly treat electronic polarization, have been designed for use in polar environments typically found in proteins and in solution. To achieve this, the use of experimental target data, supplemented by QM data, was strongly emphasized during optimization of the nonbonded parameters in the biomolecular CHARMM force fields, in order to ensure physical behavior in the bulk phase. However, reproducing experimental data requires molecular dynamics (MD) simulations, which have to be set up carefully and repeated multiple times in the course of the parametrization, making the usage of experimental target data non-trivial and time-consuming. In addition, for many functional groups that may occur in drug-like molecules experimental data may not be available. Due to this lack of data, and since one of the main goals of CGenFF is easy and fast extensibility, a slightly different philosophy was adapted, with more emphasis on QM results as target data for parameter optimization. This is possible due to the wide range of functionalities already available whose parameters were optimized based largely on experimental data, along with the establishment of empirical scaling factors that can be applied to QM data in order to make them relevant for the bulk phase.
The only cases where experimental data would be required are situations where novel atom types are present for which LJ parameters are not already available in CGenFF. These cases would require optimization of the LJ parameters, supplemented with Hartree-Fock (HF) model compound-water minimum interaction energies and distances (see step 2.a under “Generation of target data for parameter validation and optimization” and step 1 under “Parametrization procedure”), based on the reproduction of bulk phase properties, typically pure solvent molecular volumes and heats of vaporization or crystal lattice parameters and heats of sublimation. Descriptions of the optimization protocol have been published previously.7 ,9 ,25 (link) However, it should be noted that CGenFF has been designed to cover the majority of atom types in pharmaceutical compounds, such that optimization of LJ parameters is typically not required.
The remainder of this section includes 1) the procedure to add new model compounds and chemical groups to the force field, 2) the procedure for generating the QM target data, and 3) the procedure for application of the QM information to parametrize new molecules. To put these procedures in better context, example systems including pyrollidine, the addition of substituents to pyrollidine and the development of a linker between pyrollidine and benzene are presented.
Publication 2010
Benzene Dietary Fiber Pharmaceutical Preparations Physical Examination Proteins Reproduction Solvents Vaporization
The paper’s methods were shaped around its overall aim: to advance clarity in the language used to describe outcomes of implementation. We convened a working group of implementation researchers to identify concepts for labeling and assessing outcomes of implementation processes. One member of the group was a doctoral student RA who coordinated, conducted, and reported on the literature search and constructed tables reflecting various iterations of the heuristic taxonomy. The RA conducted literature searches using key words and search programs to identify literature on the current state of conceptualization and measurement of these outcomes, primarily in the health and behavioral sciences. We searched in a number of databases with a particular focus on MEDLINE, CINAHL Plus, and PsycINFO. Key search terms included the name of the implementation outcome (e.g., “acceptability,” “sustainability,” etc.) along with relevant synonyms combined with any of the following: innovation, EBP, evidence based practice, and EST. We scanned the titles and abstracts of the identified sources and read the methods and background sections of the studies that measured or attempted to measure implementation outcomes. We also included information from relevant conceptual articles in the development of nominal definitions. Whereas our primary focus was on the implementation of evidence based practices in the health and behavioral sciences, the keyword “innovation” broadened this scope by also identifying studies that focused on other areas such as physical health that may inform implementation of mental health treatments. Because terminology in this field currently reflects widespread inconsistency, we followed leads beyond what our keyword searches “hit” upon. Thus we read additional articles that we found cited by authors whose work we found through our electronic searches. We also conducted searches of CRISP, TAGG, and NIH reporter and studies to identify funded mental health research studies with “implementation” in their titles or abstracts, to identify examples of outcomes pursued in current research.
We used a narrative review approach (Educational Research Review), which is appropriate for summarizing different primary studies and drawing conclusions and interpretation about “what we know,” informed by reviewers’ experiences and existing theories (McPheeters et al. 2006 ; Kirkevoid 1997 (link)). Narrative reviews yield qualitative results, with strengths in capturing diversities and pluralities of understanding (Jones 1997 ). According to McPheeters et al. (2006 ), narrative reviews are best conducted by a team. Members of the working group read and reviewed conceptual and theoretical pieces as well as published reports of implementation research. As a team, we convened recurring meetings to discuss the similarities and dissimilarities. We audio-taped and transcribed meeting discussions, and a designated individual took thorough notes. Transcriptions and notes were posted on a shared computer file for member review, revision, and correction.
Group processes included iterative discussion, checking additional literature for clarification, and subsequent discussion. The aim was to collect and portray, from extant literature, the similarities and differences across investigators’ use of various implementation outcomes and definitions for those outcomes. Discussions often led us to preserve distinctions between terms by maintaining in our “nominated” taxonomy two different implementation outcomes because the literature or our own research revealed possible conceptual distinctions. We assembled the identified constructs in the proposed heuristic taxonomy to portray the current state of vocabulary and conceptualization of terms used to assess implementation outcomes.
Publication 2010
Concept Formation Mental Health Physical Examination Physicians Student Transcription, Genetic
Analyses of the 86 bp sequencing reads were based upon the unfiltered qseq files, since the filtering process that produces fastq files sometimes discarded good reads that aligned perfectly to the reference genome for at least 64 bases. Starting with the qseq files from a flow cell, we first filtered for reads that (1) perfectly matched one of the barcodes and the expected four-base remnant of the ApeKI cut site (CWGC), (2) were not adapter/adapter dimers, and (3) contained no “Ns” in their first 72 bases. These reads were sorted into separate files according to their barcode, with the barcode removed and the remainder of the sequence trimmed to 64 bases (including the initial CWGC). If either the full ApeKI site (from partial digestion or chimera formation) or the first 8 bases of common adapter (from ApeKI fragments less than 64 bases) were detected within 64 bases, the read was truncated appropriately and then filled to 64 bases with polyA.
For maize, subsequent filtering of the reads was then done in two different ways, depending on our purpose. To generate a reference set of 64 base sequence tags to be included in a presence/absence genotype table, only reads with a minimum Q-score of 10 across the first 72 bases) and that occurred at least twice were kept. We opted to use this somewhat low-stringency minimum Q-score cutoff to maximize the number of useful sequence tags. Sequence tags containing random sequencing errors should not occur multiple times in multiple samples and should not map genetically, so they should be filtered out in subsequent steps. To this set of reference tags, the expected 64 base tags from an in silico ApeKI digest of the maize reference genome, B73 RefGen v1 [21] (link), were added (with fragments shorter than 64 bases filled with polyA, as above). To fill in the observed counts in the genotype table, a second pass across the reads for each DNA sample was performed. In this second pass, 64 base reads were counted for each sample (and the count added to the genotype table) if they perfectly matched one of the reference tags, regardless of their minimum Q score. The resulting genotype table was then filtered to remove tags that occurred in 10 or fewer DNA samples; this should remove most of the sequencing errors. For barley, the absence of a reference genome prevented anchoring reads to a physical map. Sequence reads were simply filtered for unique 64 base sequence reads that were present in five or more lines and these were mapped genetically as described below.
All maize and barley sequences were submitted to the National Center for Biotechnology Information (NCBI) Short Read Archive (study SRP004282.1).
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Publication 2011
Base Sequence Cells Chimera Digestion Genome Genotype Hordeum vulgare Maize Physical Examination Poly A
We evaluated the performance of minimac3 (v1.0.14) in comparison to the three most commonly used imputation tools: minimac2 (v2014.9.15), IMPUTE2 (v2.3.1), and Beagle 4.1 (v22Feb16) (Table 1). We combined chromosome 20 data across multiple whole-genome sequencing studies to generate large reference panels. We compared results for the following seven reference panels: (i) 1000G Phase 1: 1,092 individuals from 1000 Genomes Project Phase 1 (refs. 25 (link),26 (link)), (ii) AMD: 2,074 individuals sequenced for study of age-related macular degeneration32 (link), (iii) 1000G Phase 3: 2,504 individuals from 1000 Genomes Project Phase 3 (ref. 1 (link)), (iv) SardiNIA: 3,489 individuals from the SardiNIA project4 (link), (v) COMBINED: 9,341 individuals combined together from AMD, SARDINIA, the BRIDGE study of bipolar disorder (L.J.S., unpublished data) (2,464 samples), and the Minnesota Twins study33 (link) (1,314 samples), (vi) Mega: 11,845 individuals obtained by merging COMBINED and G1KP3, and (vii) HRC v1.1: 32,390 individuals from HRC14 . To mimic a GWAS, we selected 25 unrelated individuals each from AMD, SardiNIA, BRIDGE Study, and Minnesota Twins and masked all variants except those typed on the Illumina Duo 1M chip (resulting in ~20,000 genotyped variants for chromosome 20). To evaluate imputation accuracy, we estimated the squared Pearson correlation coefficient (r2) between the imputed genotype probabilities and genotype calls from sequence data. We evaluated imputation accuracy at the 227,925 variants that were present in all the respective data sets and had MAF of at least 0.00005 in all contributing studies. For each of the combinations of the four imputation methods and seven reference panels, we recorded the average imputation accuracy, total computational time, and physical memory required to impute 100 GWAS individuals.
Publication 2016
APEX1 protein, human Bipolar Disorder Chromosomes, Human, Pair 20 DNA Chips Genome Genome-Wide Association Study Genotype Macula Lutea Memory Physical Examination Twins

Most recents protocols related to «Physical Examination»

Example 1

A secondary battery pouch film is produced, after the drying process temperature of the two-component type solvent-based emulsion having a start temperature of 175° C. to 190° C. is set to 100° C.

A secondary battery pouch film is produced, after the process temperature of the two-component type solvent-based emulsion having a start temperature lowered to 135° C. to 150° C. is set to 100° C.

Example 2

A secondary battery pouch film is produced, after the drying process temperature of the two-component type solvent-based emulsion having a start temperature of 175° C. to 190° C. is set to 120° C.

A secondary battery pouch film is produced, after the process temperature of the two-component type solvent-based emulsion having a start temperature lowered to 135° C. to 150° C. is set to 120° C.

Example 3

A secondary battery pouch film is produced, after the drying process temperature of the two-component type solvent-based emulsion having a start temperature of 175° C. to 190° C. is set to 135° C.

A secondary battery pouch film is produced, after the process temperature of the two-component type solvent-based emulsion having a start temperature lowered to 135° C. to 150° C. is set to 135° C.

Example 4

A secondary battery pouch film is produced, after the drying process temperature of the two-component type solvent-based emulsion having a start temperature of 175° C. to 190° C. is set to 150° C.

A secondary battery pouch film is produced, after the process temperature of the two-component type solvent-based emulsion having a start temperature lowered to 135° C. to 150° C. is set to 150° C.

Example 5

A secondary battery pouch film is produced, after the drying process temperature of the two-component type solvent-based emulsion having a start temperature of 175° C. to 190° C. is set to 165° C.

Example 6

A secondary battery pouch film is produced, after the drying process temperature of the two-component type solvent-based emulsion having a start temperature of 175° C. to 190° C. is set to 180° C.

Example 7

A secondary battery pouch film is produced, after the drying process temperature of the two-component type solvent-based emulsion having a start temperature of 175° C. to 190° C. is set to 200° C.

Example 8

A secondary battery pouch film is produced, after the process temperature of the two-component type solvent-based emulsion having a start temperature lowered to 135° C. to 150° C. is set to 165° C.

Example 9

A secondary battery pouch film is produced, after the process temperature of the two-component type solvent-based emulsion having a start temperature lowered to 135° C. to 150° C. is set to 180° C.

Example 10

A secondary battery pouch film is produced, after the process temperature of the two-component type solvent-based emulsion having a start temperature lowered to 135° C. to 150° C. is set to 200° C.

TABLE 1
Start Drying process
No.temperature (° C.)temperature (° C.)
Comparative Example 1175~190100
Comparative Example 2120
Comparative Example 3135
Comparative Example 4150
Comparative Example 5165
Comparative Example 6180
Comparative Example 7200
Example 1135~150100
Example 2120
Example 3135
Example 4150
Comparative Example 8165
Comparative Example 9180
Comparative Example 10200

Evaluation of Properties

Evaluation of Initial Peel Strength

    • (1) An experimental sample is prepared by cutting the secondary battery pouch film to have a size of 1.5 cm by 15 cm in width and length, respectively.
    • (2) The metal layer and the sealant layer are peeled off, and the peel strength is measured.

Evaluation of Hydrofluoric Acid Resistance

    • (1) After the secondary battery pouch film is cut to have a size of 10 cm by 20 cm, two surfaces on both sides thermally adhered to each other.
    • (2) A manufacturing solution (electrolyte+water (10,000 ppm (about 1%) of concentration of water in the solution)) is put inside the secondary battery pouch having the two surfaces adhering to each other, thermal adhering is performed, and a pack is manufactured.
    • (3) The pack is stored at a high-temperature condition (85° C.) for 24 hours.
    • (4) The electrolyte inside the pack is removed, and the sample is prepared (width 1.5 cm and length 15 cm) in the same manner as in the evaluation of initial peel strength.
    • (5) The peel strength between the metal layer and the sealant layer is measured.

Evaluation of Electrolyte Resistance

    • (1) An experimental sample is prepared by cutting the secondary battery pouch film to have a size of 1.5 cm by 15 cm in width and length, respectively.
    • (2) The prepared sample is impregnated with a standard electrolyte (1.0 M LiPF6(EC/DEC/EMC: 1/1/1)) and is stored at a high temperature condition (85° C.) for 24 hours.
    • (3) After the electrolyte is washed off, the metal layer and the sealant layer are peeled off, and the peel strength is measured.

Evaluation of Formability

    • (1) A sample is prepared by cutting the produced secondary battery pouch film to have a size of 15 cm by 15 cm.
    • (2) The prepared samples are formed by using a test die (size of 3 cm×4 cm) manufactured by Youlchon Chemical, Co., Ltd.
    • (3) Evaluation of formability is repeatedly performed by changing the setting of the forming depth and is performed until ten or more samples are not broken.
    • (4) A forming depth, in ten or more samples are not broken, is measured.

Evaluation of Penetration Strength

    • (1) A sample having a width of 35 mm and a length of 600 mm is produced from the secondary battery pouch film.
    • (2) The penetration strength is measured at intervals of about 40 mm in a direction from the outer layer toward the inner layer.
    • (3) After the strength is measured ten times, an average value thereof is recorded.

In this case, the higher the formability, a forming process range may be wider during manufacturing of a battery. It is appropriate that the electrolyte resistance strength is equal to or higher than 90% of the initial peel strength, and the hydrofluoric acid resistance strength should be equal to or higher than 5 N/15 mm. Since the electrolyte resistance strength and the hydrofluoric acid resistance strength are much affected by the initial peel strength, it is appropriate that the initial peel strength is equal to or higher than 14 N/15 mm.

Table 2 shows evaluation of physical properties based on the curing start temperature and the drying process temperature.

TABLE 2
Hydrofluoric
DryingInitialElectrolyteacid
StartprocesspeelresistanceresistancePenetration
temperaturetemperaturestrengthstrengthstrengthstrengthFormability
No.(° C.)(° C.)(N/15 mm)(N/15 mm)(N/15 mm)(N)(mm)
Comparative1751002PeelingPeeling18.46.5
Example 1~190
Comparative1202.3PeelingPeeling19.26.6
Example 2
Comparative1352.2PeelingPeeling19.36.6
Example 3
Comparative1506.4PeelingPeeling19.36.5
Example 4
Comparative16514.514.15.824.26.3
Example 5
Comparative18014.814.35.724.66.1
Example 6
Comparative20015.614.85.824.56.1
Example 7
Example 11351009.2 8.13.919.46.8
Example 2~15012012.411.64.320.26.7
Example 313514.614.26.221.86.7
Example 415015.014.36.422.36.8
Comparative16515.114.86.423.86.3
Example 8
Comparative18015.715.16.224.26.1
Example 9
Comparative20016.115.46.524.76.0
Example 10

As known from the above, when an emulsion having a start temperature of 175° C. to 190° C. (Comparative Examples 1, 2, 3, and 4) is applied, the initial peel strength is relatively very low to be 10 N or lower when the drying process temperature is 150° C. or lower. The low initial peel strength resulted in a phenomenon where the sealant layer and the metal layer are completely separated from each other during evaluation of the electrolyte resistance strength and the hydrofluoric acid resistance strength.

When the drying process temperature is 165° C. to 200° C. (Comparative Examples 5, 6, and 7), the initial peel strength, the electrolyte resistance strength, and the hydrofluoric acid resistance strength are all good. However, the penetration strength increased to 24 N or higher. As well, a result that the formability does not reach 6.5 mm is obtained.

When the emulsion having a start temperature lowered to 135° C. to 150° C. is applied, the initial peel strength is 10 N/15 mm or lower only when the drying process temperature is 100° C. (Example 1), and the initial peel strength is 12 N/15 mm or higher in a drying process condition of 120° C. or higher (Examples and Comparative Examples 8 to 10). It is confirmed that a decrease in start temperature improves the adhesiveness even at a low drying process temperature.

However, the hydrofluoric acid resistance strength does not reach 5 N/15 mm in the 120° C. condition (Example 2), and the initial peel strength, the electrolyte resistance strength, and the hydrofluoric acid resistance strength are all good in conditions of 135° C. or higher (Examples 3 and 4 and Comparative Examples 8 to 10).

Similar to Comparative Examples 1 to 7, results of an increase in penetration strength in a condition of 165° C. to 200° C. (Comparative Examples 8, 9, 10) and the result of formability smaller than 6.5 mm is obtained.

The penetration strength increased to 20 N or higher at a condition of 135° C. to 150° C. (Examples 3 and 4), but has the best of the formability of 6.5 mm or more.

Therefore, only in a drying process temperature condition corresponding to the start temperature, all the properties of the initial peel strength, the electrolyte resistance strength, the hydrofluoric acid resistance strength are appropriate. When the drying process temperature is above 150° C., and particularly 165° C. or higher as found in an experiment, the penetration strength of the secondary battery pouch film significantly increases, and thus the formability decreases.

Therefore, in order to appropriately obtain all the physical properties, it is preferable to lower the drying process temperature to 150° C. or below, and to this end, it is preferable to lower the start temperature of the solvent-based emulsion to 150° C. or below.

According to the exemplary embodiments of the invention, when the secondary battery pouch film is manufactured, the primer layer composition that is interposed between the metal layer and the melt-extrusion resin layer or the sealant layer is made of a two-component curing-type organic solvent-based emulsion composition containing acid-modified polypropylene and a curing agent, wherein the curing start temperature and the drying process temperature are adjusted, and thermal lamination is not performed. Thereby, good formability, as well as good initial peel strength, hydrofluoric acid resistance, electrolyte resistance, etc. may be achieved.

The present invention was made under Project ID 20007148 from the Ministry of Trade, Industry and Energy, Korea Evaluation Institute of Industrial Technology under research project “Development of Technology of Materials and Components—Materials and Components Packaging Type”, research title “Performance Evaluation of Medium and Large Size Secondary Battery Pouch and Empirical Research for Application to Demand Companies” granted to Youl Chon Chemical Co., Ltd. For the period 2019 Sep. 1-2021 Feb. 28.

While the present invention has been described with respect to the specific embodiments, it will be apparent to those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the following claims.

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Patent 2024
Acids Adhesiveness Cold Temperature Electrolytes Emulsions Fever Hydrofluoric acid Metals Oligonucleotide Primers Physical Processes Polypropylenes Resins, Plant Solvents Technology Assessment
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Example 18

A non-transitory computer readable medium storing computer readable instructions which, when executed, causes a machine to: control the operation of a plurality of illumination sources of a tissue sample wherein each illumination source is configured to emit light having a specified central wavelength; receive data from the light sensor when the tissue sample is illuminated by each of the plurality of illumination sources; calculate structural data related to a characteristic of a structure within the tissue sample based on the data received by the light sensor when the tissue sample is illuminated by each of the illumination sources; and transmit the structural data related to the characteristic of the structure to be received by a smart surgical device, wherein the characteristic of the structure is a surface characteristic or a structure composition.

While several forms have been illustrated and described, it is not the intention of the applicant to restrict or limit the scope of the appended claims to such detail. Numerous modifications, variations, changes, substitutions, combinations, and equivalents to those forms may be implemented and will occur to those skilled in the art without departing from the scope of the present disclosure. Moreover, the structure of each element associated with the described forms can be alternatively described as a means for providing the function performed by the element. Also, where materials are disclosed for certain components, other materials may be used. It is therefore to be understood that the foregoing description and the appended claims are intended to cover all such modifications, combinations, and variations as falling within the scope of the disclosed forms. The appended claims are intended to cover all such modifications, variations, changes, substitutions, modifications, and equivalents.

The foregoing detailed description has set forth various forms of the devices and/or processes via the use of block diagrams, flowcharts, and/or examples. Insofar as such block diagrams, flowcharts, and/or examples contain one or more functions and/or operations, it will be understood by those within the art that each function and/or operation within such block diagrams, flowcharts, and/or examples can be implemented, individually and/or collectively, by a wide range of hardware, software, firmware, or virtually any combination thereof. Those skilled in the art will recognize that some aspects of the forms disclosed herein, in whole or in part, can be equivalently implemented in integrated circuits, as one or more computer programs running on one or more computers (e.g., as one or more programs running on one or more computer systems), as one or more programs running on one or more processors (e.g., as one or more programs running on one or more microprocessors), as firmware, or as virtually any combination thereof, and that designing the circuitry and/or writing the code for the software and or firmware would be well within the skill of one of skill in the art in light of this disclosure. In addition, those skilled in the art will appreciate that the mechanisms of the subject matter described herein are capable of being distributed as one or more program products in a variety of forms, and that an illustrative form of the subject matter described herein applies regardless of the particular type of signal bearing medium used to actually carry out the distribution.

Instructions used to program logic to perform various disclosed aspects can be stored within a memory in the system, such as dynamic random access memory (DRAM), cache, flash memory, or other storage. Furthermore, the instructions can be distributed via a network or by way of other computer readable media. Thus a machine-readable medium may include any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer), but is not limited to, floppy diskettes, optical disks, compact disc, read-only memory (CD-ROMs), and magneto-optical disks, read-only memory (ROMs), random access memory (RAM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), magnetic or optical cards, flash memory, or a tangible, machine-readable storage used in the transmission of information over the Internet via electrical, optical, acoustical or other forms of propagated signals (e.g., carrier waves, infrared signals, digital signals, etc.). Accordingly, the non-transitory computer-readable medium includes any type of tangible machine-readable medium suitable for storing or transmitting electronic instructions or information in a form readable by a machine (e.g., a computer).

As used in any aspect herein, the term “control circuit” may refer to, for example, hardwired circuitry, programmable circuitry (e.g., a computer processor comprising one or more individual instruction processing cores, processing unit, processor, microcontroller, microcontroller unit, controller, digital signal processor (DSP), programmable logic device (PLD), programmable logic array (PLA), or field programmable gate array (FPGA)), state machine circuitry, firmware that stores instructions executed by programmable circuitry, and any combination thereof. The control circuit may, collectively or individually, be embodied as circuitry that forms part of a larger system, for example, an integrated circuit (IC), an application-specific integrated circuit (ASIC), a system on-chip (SoC), desktop computers, laptop computers, tablet computers, servers, smart phones, etc. Accordingly, as used herein “control circuit” includes, but is not limited to, electrical circuitry having at least one discrete electrical circuit, electrical circuitry having at least one integrated circuit, electrical circuitry having at least one application specific integrated circuit, electrical circuitry forming a general purpose computing device configured by a computer program (e.g., a general purpose computer configured by a computer program which at least partially carries out processes and/or devices described herein, or a microprocessor configured by a computer program which at least partially carries out processes and/or devices described herein), electrical circuitry forming a memory device (e.g., forms of random access memory), and/or electrical circuitry forming a communications device (e.g., a modem, communications switch, or optical-electrical equipment). Those having skill in the art will recognize that the subject matter described herein may be implemented in an analog or digital fashion or some combination thereof.

As used in any aspect herein, the term “logic” may refer to an app, software, firmware and/or circuitry configured to perform any of the aforementioned operations. Software may be embodied as a software package, code, instructions, instruction sets and/or data recorded on non-transitory computer readable storage medium. Firmware may be embodied as code, instructions or instruction sets and/or data that are hard-coded (e.g., nonvolatile) in memory devices.

As used in any aspect herein, the terms “component,” “system,” “module” and the like can refer to a computer-related entity, either hardware, a combination of hardware and software, software, or software in execution.

As used in any aspect herein, an “algorithm” refers to a self-consistent sequence of steps leading to a desired result, where a “step” refers to a manipulation of physical quantities and/or logic states which may, though need not necessarily, take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated. It is common usage to refer to these signals as bits, values, elements, symbols, characters, terms, numbers, or the like. These and similar terms may be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities and/or states.

A network may include a packet switched network. The communication devices may be capable of communicating with each other using a selected packet switched network communications protocol. One example communications protocol may include an Ethernet communications protocol which may be capable permitting communication using a Transmission Control Protocol/Internet Protocol (TCP/IP). The Ethernet protocol may comply or be compatible with the Ethernet standard published by the Institute of Electrical and Electronics Engineers (IEEE) titled “IEEE 802.3 Standard”, published in December, 2008 and/or later versions of this standard. Alternatively or additionally, the communication devices may be capable of communicating with each other using an X.25 communications protocol. The X.25 communications protocol may comply or be compatible with a standard promulgated by the International Telecommunication Union-Telecommunication Standardization Sector (ITU-T). Alternatively or additionally, the communication devices may be capable of communicating with each other using a frame relay communications protocol. The frame relay communications protocol may comply or be compatible with a standard promulgated by Consultative Committee for International Telegraph and Telephone (CCITT) and/or the American National Standards Institute (ANSI). Alternatively or additionally, the transceivers may be capable of communicating with each other using an Asynchronous Transfer Mode (ATM) communications protocol. The ATM communications protocol may comply or be compatible with an ATM standard published by the ATM Forum titled “ATM-MPLS Network Interworking 2.0” published August 2001, and/or later versions of this standard. Of course, different and/or after-developed connection-oriented network communication protocols are equally contemplated herein.

Unless specifically stated otherwise as apparent from the foregoing disclosure, it is appreciated that, throughout the foregoing disclosure, discussions using terms such as “processing,” “computing,” “calculating,” “determining,” “displaying,” or the like, refer to the action and processes of a computer system, or similar electronic computing device, that manipulates and transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices.

One or more components may be referred to herein as “configured to,” “configurable to,” “operable/operative to,” “adapted/adaptable,” “able to,” “conformable/conformed to,” etc. Those skilled in the art will recognize that “configured to” can generally encompass active-state components and/or inactive-state components and/or standby-state components, unless context requires otherwise.

The terms “proximal” and “distal” are used herein with reference to a clinician manipulating the handle portion of the surgical instrument. The term “proximal” refers to the portion closest to the clinician and the term “distal” refers to the portion located away from the clinician. It will be further appreciated that, for convenience and clarity, spatial terms such as “vertical”, “horizontal”, “up”, and “down” may be used herein with respect to the drawings. However, surgical instruments are used in many orientations and positions, and these terms are not intended to be limiting and/or absolute.

Those skilled in the art will recognize that, in general, terms used herein, and especially in the appended claims (e.g., bodies of the appended claims) are generally intended as “open” terms (e.g., the term “including” should be interpreted as “including but not limited to,” the term “having” should be interpreted as “having at least,” the term “includes” should be interpreted as “includes but is not limited to,” etc.). It will be further understood by those within the art that if a specific number of an introduced claim recitation is intended, such an intent will be explicitly recited in the claim, and in the absence of such recitation no such intent is present. For example, as an aid to understanding, the following appended claims may contain usage of the introductory phrases “at least one” and “one or more” to introduce claim recitations. However, the use of such phrases should not be construed to imply that the introduction of a claim recitation by the indefinite articles “a” or “an” limits any particular claim containing such introduced claim recitation to claims containing only one such recitation, even when the same claim includes the introductory phrases “one or more” or “at least one” and indefinite articles such as “a” or “an” (e.g., “a” and/or “an” should typically be interpreted to mean “at least one” or “one or more”); the same holds true for the use of definite articles used to introduce claim recitations.

In addition, even if a specific number of an introduced claim recitation is explicitly recited, those skilled in the art will recognize that such recitation should typically be interpreted to mean at least the recited number (e.g., the bare recitation of “two recitations,” without other modifiers, typically means at least two recitations, or two or more recitations). Furthermore, in those instances where a convention analogous to “at least one of A, B, and C, etc.” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., “a system having at least one of A, B, and C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.). In those instances where a convention analogous to “at least one of A, B, or C, etc.” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., “a system having at least one of A, B, or C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.). It will be further understood by those within the art that typically a disjunctive word and/or phrase presenting two or more alternative terms, whether in the description, claims, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms unless context dictates otherwise. For example, the phrase “A or B” will be typically understood to include the possibilities of “A” or “B” or “A and B.”

With respect to the appended claims, those skilled in the art will appreciate that recited operations therein may generally be performed in any order. Also, although various operational flow diagrams are presented in a sequence(s), it should be understood that the various operations may be performed in other orders than those which are illustrated, or may be performed concurrently. Examples of such alternate orderings may include overlapping, interleaved, interrupted, reordered, incremental, preparatory, supplemental, simultaneous, reverse, or other variant orderings, unless context dictates otherwise. Furthermore, terms like “responsive to,” “related to,” or other past-tense adjectives are generally not intended to exclude such variants, unless context dictates otherwise.

It is worthy to note that any reference to “one aspect,” “an aspect,” “an exemplification,” “one exemplification,” and the like means that a particular feature, structure, or characteristic described in connection with the aspect is included in at least one aspect. Thus, appearances of the phrases “in one aspect,” “in an aspect,” “in an exemplification,” and “in one exemplification” in various places throughout the specification are not necessarily all referring to the same aspect. Furthermore, the particular features, structures or characteristics may be combined in any suitable manner in one or more aspects.

Any patent application, patent, non-patent publication, or other disclosure material referred to in this specification and/or listed in any Application Data Sheet is incorporated by reference herein, to the extent that the incorporated materials is not inconsistent herewith. As such, and to the extent necessary, the disclosure as explicitly set forth herein supersedes any conflicting material incorporated herein by reference. Any material, or portion thereof, that is said to be incorporated by reference herein, but which conflicts with existing definitions, statements, or other disclosure material set forth herein will only be incorporated to the extent that no conflict arises between that incorporated material and the existing disclosure material.

In summary, numerous benefits have been described which result from employing the concepts described herein. The foregoing description of the one or more forms has been presented for purposes of illustration and description. It is not intended to be exhaustive or limiting to the precise form disclosed. Modifications or variations are possible in light of the above teachings. The one or more forms were chosen and described in order to illustrate principles and practical application to thereby enable one of ordinary skill in the art to utilize the various forms and with various modifications as are suited to the particular use contemplated. It is intended that the claims submitted herewith define the overall scope.

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Patent 2024
Acoustics Character Conferences DNA Chips Electricity Enzyme Multiplied Immunoassay Technique Fingers Human Body Light Medical Devices Memory Mental Orientation Ocular Refraction Physical Examination Reading Frames Surgical Instruments Teaching Tissues Transmission, Communicable Disease Vision

EXAMPLE 4

A membrane permeability assay using Sytox green dye was performed to examine whether the bactericidal effect is directly related to the disruption of membrane integrity. Fluorescence intensity of Sytox green increases when the membrane-impermeable dye intercalates into the intracellular nucleic acids upon diffusion through the damaged membranes. No fluorescence change was observed from Msm treated with OCG at 2×MIC for 1 h (FIG. 7). An additional assay commonly used for membrane damage was also conducted. Non-fluorescent hydrophobic N-phenyl-2-naphthylamine (NPN) becomes fluorescent upon interacting with damaged hydrophobic lipids in the membrane. Even after treating Msm with OCG at 4×MIC for 1 h, no fluorescence intensity increase was observed (FIG. 8). Both results indicated bactericidal effects of OCG may not be related to physical membrane damage.

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Patent 2024
Biological Assay Cell Membrane Permeability Diffusion Fluorescence Membrane Lipids Nucleic Acids Physical Examination Protoplasm SYTOX Green Tissue, Membrane

Example 6

Protocol: Place a 0.22 μm filter on center of the BHI agar plate with phenol red and measure the OD600 of overnight cultures of the different Rothia species or other candidate inhibitors. Dilute the bacterial cultures to OD600 0.5, spread them on filter and grow overnight in their respective growth conditions. This prevented bacteria from physically contacting the agar surface. After overnight growth, remove the filter bearing the bacterial cells and overlay the plate with 4 mL of BHI soft agar (0.5% agar) with phenol sred containing 200 uL of OD600 0.5 Sm Immersing the Sm cells in BHI soft agar and covering the surface of the plate with it allowed to separate Sm from the inhibitory bacteria both physically and temporally. When the soft agar solidifies, it was incubated overnight at 37° C. in aerobic +5% CO2 conditions. The next day pH values were taken at the center of the plate and the side of the plate. The experiments were performed in triplicate. The error bars represent the standard deviation and the statistical significance was determined using Studen't T-test.

Results: The Rothia successfully inhibited the acid production of both Sm UA140 and UA159 in this way (FIGS. 3B and 3C).

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Patent 2024
Acids Agar Bacteria Bacteria, Aerobic Figs Growth Disorders inhibitors Phenol Physical Examination Psychological Inhibition Technique, Dilution

Example 5

To determine the impact of the amino acid variation of romosozumab PARG (SEQ ID NO: 8) variant as compared to the wild type romosozumab on solubility upon subcutaneous (SC) injection, a dialysis solubility assay was performed on both wild type and PARG (SEQ ID NO: 8) C-terminal variant romosozumab in parallel. This screen entails dialyzing a sample of the romosozumab PARG (SEQ ID NO: 8) C-terminal variant and a sample of the wild-type romosozumab into a solution that simulates the pH and ionic strength of the SC space and monitoring the solubility and physical stability of the antibody in these conditions over a short time period. Samples were formulated at ˜63 mg/mL in formulation buffer (pH 5.2). Then each sample was injected into a dialysis cassette and dialyzed into a PBS buffer to mimic the SC space. Visual observations were made 24 hours after initial dialysis. Wild-type romosozumab typically shows precipitation after 24 hours.

The results show that both molecules precipitate in this analysis but the PARG (SEQ ID NO: 8) C-terminal variant precipitates less and at a slower rate. This suggests that the variant is more resistant to precipitation than wild type, although the variant does not abolish precipitation completely.

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Patent 2024
Amino Acids Biological Assay Buffers Dialysis Immunoglobulins Menstruation Disturbances Physical Examination romosozumab Simulate composite resin Subcutaneous Injections

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More about "Physical Examination"

Physical Assessment, Clinical Examination, Medical Checkup, Diagnostic Workup, Somatology, Body Evaluation, Clinical Appraisal, Health Screening, SOAP Note, Vitals, Anthropometry, Sensory Testing, Reflexes, Palpation, Auscultation, Percussion, Visual Inspection, Diagnostic Imaging, MRI, CT Scan, Ultrasound, Optical Coherence Tomography, X-Ray, Electrocardiogram, Endoscopy, Lab Tests, Biomarkers, SAS 9.4, SAS version 9.4, SOMATOM Definition Flash, Vitrobot Mark IV, Ingenia, MAGNETOM Skyra, IOL Master, D8 Advance, MATLAB.
The physical examination is a crucial component of medical practice, allowing healthcare providers to thoroughly assess an individual's physical health and detect any abnormalities or changes that may indicate the presence of a disease or disorder.
This comprehensive evaluation typically involves a systematic assessment of the body's structures and functions, including visual inspection, palpation, auscultation, and other diagnostic techniques.
Accurate and reproducible physical examination protocols are essential for effective medical diagnosis and treatment, and can be optimized using AI-driven platforms like PubCompare.ai to ensure the most reliable and effective methods are utilized.
By leveraging the power of advanced technologies, healthcare providers can enhance the accuracy and reproducibility of their physical examination procedures, leading to improved patient outcomes and more efficient clinical decision-making.