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Memory

Memory is the ability to encode, store, and retrieve information.
It is a fundamental cognitive process that allows individuals to draw upon past experiences and knowledge to guide current and future actions.
Memory can be categorized into different types, such as short-term memory, long-term memory, and working memory.
This complex process involves various brain regions and neurological mechanisms.
Researchers continue to explore the intricacies of memory formation, consolidation, and retrieval, with the goal of understanding and potentially enhancing human memory capabilities.
The study of memory is crucial for understanding cognitive function, learning, and the impact of neurological disorders on mental processes.

Most cited protocols related to «Memory»

SAMtools is a library and software package for parsing and manipulating alignments in the SAM/BAM format. It is able to convert from other alignment formats, sort and merge alignments, remove PCR duplicates, generate per-position information in the pileup format (Fig. 1c), call SNPs and short indel variants, and show alignments in a text-based viewer. For the example alignment of 112 Gbp Illumina GA data, SAMtools took about 10 h to convert from the MAQ format and 40 min to index with <30 MB memory. Conversion is slower mainly because compression with zlib is slower than decompression. External sorting writes temporary BAM files and would typically be twice as slow as conversion.
SAMtools has two separate implementations, one in C and the other in Java, with slightly different functionality.

Mandatory fields in the SAM format

No.NameDescription
1QNAMEQuery NAME of the read or the read pair
2FLAGBitwise FLAG (pairing, strand, mate strand, etc.)
3RNAMEReference sequence NAME
4POS1-Based leftmost POSition of clipped alignment
5MAPQMAPping Quality (Phred-scaled)
6CIGARExtended CIGAR string (operations: MIDNSHP)
7MRNMMate Reference NaMe (‘=’ if same as RNAME)
8MPOS1-Based leftmost Mate POSition
9ISIZEInferred Insert SIZE
10SEQQuery SEQuence on the same strand as the reference
11QUALQuery QUALity (ASCII-33=Phred base quality)
Publication 2009
Decompression DNA Library INDEL Mutation Memory Single Nucleotide Polymorphism
BWA supports paired-end mapping. It first finds the positions of all the good hits, sorts them according to the chromosomal coordinates and then does a linear scan through all the potential hits to pair the two ends. Calculating all the chromosomal coordinates requires to look up the suffix array frequently. This pairing process is time consuming as generating the full suffix array on the fly with the method described above is expensive. To accelerate pairing, we cache large intervals. This strategy halves the time spent on pairing.
In pairing, BWA processes 256K read pairs in a batch. In each batch, BWA loads the full BWA index into memory, generates the chromosomal coordinate for each occurrence, estimates the insert size distribution from read pairs with both ends mapped with mapping quality higher than 20, and then pairs them. After that, BWA clears the BWT index from the memory, loads the 2 bit encoded reference sequence and performs Smith–Waterman alignment for unmapped reads whose mates can be reliably aligned. Smith–Waterman alignment rescues some reads with excessive differences.
Publication 2009
Chromosomes Memory Radionuclide Imaging
To support the multiresolution data model described earlier, we developed a corresponding file format. The ‘tiled data format’, or TDF, stores the pyramidal data tile structure and provides fast access to individual tiles. TDF files can be created using the auxiliary package ‘igvtools’. We note however that IGV does not require conversion to TDF before data can be loaded. In fact, IGV supports a variety of genomic file formats, which can be divided into three categories: (i) nonindexed, (ii) indexed and (iii) multiresolution formats:

Nonindexed formats include flat file formats such as GFF [11 ], BED [12 ] and WIG [13 ]. Files in these formats must be read in their entirety and are only suitable for relatively small data sets.

Indexed formats include BAM and Goby [14 ] for sequence alignments. Additionally, many tab-delimited feature formats can be converted to an indexed file using Tabix [15 (link)] or ‘igvtools’. Indexed formats provide rapid and efficient access to subsets of the data for display, but only when zoomed in to a sufficiently small genomic region. Zooming out requires ever-larger portions of the file to be loaded. Thus, indexed formats can efficiently support views only for a limited range of resolution scales. This range depends on the genomic density of the underlying data and can span tens of kilobases for NGS alignments, hundreds of megabases for typical variant (SNP) files, or whole chromosomes for sparse feature files. IGV uses heuristics to determine a suitable upper limit on the genomic range that can be loaded quickly with a reasonable memory footprint. If zoomed out beyond this limit, the data are not loaded.

Multiresolution formats, such as our TDF described earlier and the bigWig and bigBed formats [16 (link)], include both an index for the raw data, and precomputed indexed summary data for lower resolution (zoomed out) scales. Multiresolution formats can efficiently support views at any resolution scale.

Publication 2012
Chromosomes Genome Memory Sequence Alignment Toxic Epidermal Necrolysis
Some sequences, or even entire reads, can be overrepresented in FASTQ data. Analysis of these overrepresented sequences provides an overview of certain sequencing artifacts such as PCR over-duplication, polyG tails and adapter contamination. FASTQC offers an overrepresented sequence analysis module, however, according to the author’s introduction, FASTQC only tracks the first 1 M reads of the input file to conserve memory. We suggest that inferring the overall distribution from the first 1 M reads is not a reliable solution as the initial reads in Illumina FASTQ data usually originate from the edges of flowcell lanes, which may have lower quality and different patterns than the overall distribution.
Unlike FASTQC, fastp samples all reads evenly to evaluate overrepresented sequences and eliminate partial distribution bias. To achieve an efficient implementation of this feature, we designed a two-step method. In the first step, fastp completely analyzes the first 1.5 M base pairs of the input FASTQ to obtain a list of sequences with relatively high occurrence frequency in different sizes. In the second step, fastp samples the entire file and counts the occurrence of each sequence. Finally, the sequences with high occurrence frequency are reported.
Besides the occurrence frequency, fastp also records the positions of overrepresented sequences. This information is quite useful for diagnosing sequence quality issues. Some sequences tend to appear in the read head whereas others appear more often in the read tail. The distribution of overrepresented sequences is visualized in the HTML report. Figure 5 shows a demonstration of overrepresented sequence analysis results.
Publication 2018
Head Memory Poly G Sequence Analysis Tail
A SAM/BAM file can be unsorted, but sorting by coordinate is used to streamline data processing and to avoid loading extra alignments into memory. A position-sorted BAM file can be indexed. We combine the UCSC binning scheme (Kent et al., 2002 (link)) and simple linear indexing to achieve fast random retrieval of alignments overlapping a specified chromosomal region. In most cases, only one seek call is needed to retrieve alignments in a region.
Publication 2009
Chromosomes Memory

Most recents protocols related to «Memory»

Not available on PMC !

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.

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 15

In a 15th example, reference is made to FIGS. 12 and 13. FIG. 12 shows an example of the first measurement signal stream F1 and of the second measurement signal stream F2 in the situation where the subject suffers a temporary disappearance of all control of cerebral origin, which is characteristic of central hypopnoea. This disappearance is characterized by the mouth opening passively because it is no longer held up by the muscles. It is therefore seen in the streams F1 and F2 that between the peaks the signal does not indicate any activity. On the other hand at the moment of the peak there is observed a high amplitude of the movement of the mandible. Toward the end of the peaks there is seen a movement that corresponds to a non-respiratory frequency, which is the consequence of cerebral activation that will then result in a micro-arousal. The digit 1 indicates the period of hypopnoea where a reduction of the flow is clearly visible on the stream F5th from the thermistor. The digits 2 and 3 indicate the disappearance of mandibular movement in the streams F1 and F2 during the period of central hypopnoea. FIG. 13 shows an example of the first measurement signal stream F1 and of the second measurement signal stream F2 in the situation where the subject experiences a prolonged respiratory effort that will terminate in cerebral activation. It is seen that the signal from the accelerometer F1 indicates at the location indicated by H a large movement of the head and of the mandible. Thereafter the stream F2 remains virtually constant whereas in that F1 from the accelerometer the level drops, which shows that there is in any event a movement of the mandible, which is slowly lowered. There then follows a high peak I that is a consequence of a change in the position of the head during the activation that terminates the period of effort. The digit 1 indicates this long period of effort marked by snoring. It is seen, as indicated by the digit 2, that the effort is increasing with time. This effort terminates, as indicated by the digit 3, in cerebral activation that results in movements of the head and the mandible, indicated by the letter I.

The analysis unit holds in its memory models of these various signals that are the result of processing employing artificial intelligence as described hereinbefore. The analysis unit will process these streams using those results to produce a report on the analysis of those results.

It was found that the accelerometer is particularly suitable for measuring movements of the head whereas the gyroscope, which measures rotation movements, was found to be particularly suitable for measuring rotation movements of the mandible. Thus cerebral activation that leads to rotation of the mandible without the head changing position can be detected by the gyroscope. On the other hand, an IMM type movement will be detected by the accelerometer, in particular if the head moves on this occasion. An RMM type movement will be detected by the gyroscope, which is highly sensitive thereto.

Patent 2024
ARID1A protein, human Arousal Exhaling Fingers Gene Expression Regulation Head Head Movements Mandible Medical Devices Memory Movement Muscle Tissue Oral Cavity Respiratory Rate Sleep Thumb Vision

Example 1

An embodiment herein provides a computer-controlled marketplace network for facilitating seamless transactions among a plurality of marketplace network participant systems. The marketplace network includes a plurality of service provider systems associated with respective service provider participants and located remotely from one another physically in respective service settings that each includes one or more central servers, data stores, and cloud-based computing components for managing and processing delivery of one or more services in the service settings by the plurality of service provider systems. Each of the plurality of service provider systems are communicatively coupled to a respective merchant server. The marketplace network further includes a plurality of user systems associated with respective user participants located remotely from one another and remotely from the plurality of service provider systems and configured to generate a service request to one of the plurality of service provider systems in the marketplace network.

The marketplace server facilitates marketplace transactions digitally by executing a set of computer-executable tasks for securely processing transactional exchanges among the marketplace network participant systems, wherein the transactional exchanges include at least exchanges of ownership rights for digitally stored data at least in part owned originally by the user participants. The marketplace server includes a marketplace interaction component where the service provider participants can establish their one or more offerings digitally for the transactional exchanges. The one or more offerings are associated with respective transactional values that are predefined across the marketplace network by the respective service provider participants. The marketplace server includes a memory circuit configured to store transactional information associated with each transactional exchange of the transactional exchanges among the participants in the marketplace network. The marketplace server includes a processing circuit in communication with the memory circuit and configured to process a transactional exchange digitally and generate an ownership trail of a transacted offering when a user participant consents for data ownership transfer, exclusively or inclusively for the data at least in part, from the user participant, toward a digital purchase and delivery of the offering, wherein the data at least in part has a value of at least equal to a transactional value of the offering exchanged between the service provider participant and the user participant over the marketplace network.

Patent 2024
Fingers Memory Obstetric Delivery TNFSF10 protein, human

Example 23

We have demonstrated that LXR agonists inhibit in vitro cancer progression phenotypes in breast cancer, pancreatic cancer, and renal cancer. To investigate if LXR agonist treatment inhibits breast cancer primary tumor growth in vivo, mice injected with MDA-468 human breast cancer cells were treated with either a control diet or a diet supplemented with LXR agonist GW3965 2 (FIG. 36).

To determine the effect of orally delivered GW3965 2 on breast cancer tumor growth, 2×106 MDA-468 human breast cancer cells were resuspended in 50 μL PBS and 50 μL matrigel and the cell suspension was injected into both lower memory fat pads of 7-week-old Nod Scid gamma female mice. The mice were assigned to a control diet treatment or a GW3965-supplemented diet treatment (75 mg/kg/day) two days prior to injection of the cancer cells. The GW3965 2 drug compound was formulated in the mouse chow by Research Diets, Inc. Tumor dimensions were measured using digital calipers, and tumor volume was calculated as (small diameter)2×(large diameter)/2.

Treatment with GW3965 resulted in significant reduction in breast cancer tumor size in vivo (FIG. 36).

Patent 2024
agonists Breast Carcinoma Breast Neoplasm Cancer of Kidney Cardiac Arrest Cells Diet Disease Progression Drug Compounding Fingers Gamma Rays GW 3965 Malignant Neoplasm of Breast Malignant Neoplasms Mammary Carcinoma, Human matrigel Memory Mice, Inbred NOD Mus Neoplasms Pad, Fat Pancreatic Cancer Phenotype SCID Mice Woman
Not available on PMC !

Example 10

In previous experiments, no central memory subset was seen with fresh TIL populations (see, FIG. 8). However, after the ReREP nearly 60% central memory cells, as provided in Table 22 below.

Based on the raw numbers, the rested cells had a slightly higher CD4 population than the not rested. Overall the CD8 percentage was high as expected. It's roughly a 60/40 split for CM (central memory—Q3)/EM (effector memory—Q4) among the CD8s. The CD8+CD28+ expression looks interesting. The rested cells have a higher amount. See also, FIGS. 9 and 10A-10B. See, also FIG. 15.

Patent 2024
Cells Memory

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More about "Memory"

Memory, the Fundamental Cognitive Process: Encoding, Storage, and Retrieval Memory is a critical component of human cognition, allowing individuals to draw upon past experiences and knowledge to guide their actions.
This complex process involves various brain regions and neurological mechanisms, and researchers continue to explore the intricacies of memory formation, consolidation, and retrieval.
Memory can be categorized into different types, such as short-term memory, long-term memory, and working memory.
Short-term memory, also known as immediate or active memory, temporarily stores and processes information for a limited time.
Long-term memory, on the other hand, is the ability to store and retrieve information over an extended period.
Working memory, a subset of short-term memory, is the cognitive system responsible for the temporary storage and manipulation of information.
Researchers utilize advanced tools and software, such as MATLAB, FACSAria, FACSAria II, LSRFortessa, EthoVision XT, FACSCanto II, FACSDiva, Prism 6, and SAS 9.4, to study the mechanisms and functions of memory.
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The study of memory is crucial for understanding cognitive function, learning, and the impact of neurological disorders on mental processes.
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