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Forehead

The forehead is the anatomical region of the head that extends from the eyebrows to the hairline.
It is an important area for various medical and cosmetic procedures, including treatment of headache, skin conditions, and facial aesthetics.
Researchers studying forehead-related topics can utilize PubCompare.ai's AI-powered platform to streamline their work by locating relevant protocols from literature, preprints, and patents, and comparing them to identify the best approaches for their forehead research.
This data-driven decision making can enhance reproducibility and research accuracy.
With PubCompare.ai, researchers can experience a more efficient and informed process for their forehead-focused studies.

Most cited protocols related to «Forehead»

The InnateDB website is installed on an IBM x3550 server with 16 GB RAM running the openSUSE Linux v10.2 operating system, the Apache Tomcat servlet container and the Apache HTTP web server. A separate MySQL database server, with identical hardware configuration, hosts the data, whereas front-end access to the database is through JavaServer Pages and the Apache Struts Framework. Cerebral v2 is currently launched within the webstart version of Cytoscape v2.6. Regular SQL dumps of the InnateDB database are available on request and it is anticipated that an API will be developed in the future. A figure illustrating the InnateDB schema is available as Supplementary Information.
Publication 2008
2'-deoxyuridylic acid
To increase the number of peptides that can be used for quantification beyond those that have been sequenced and identified by an MS/MS database search engine, one can transfer peptide identifications to unsequenced or unidentified peptides by matching their mass and retention times (“match-between-runs” feature in MaxQuant). A prerequisite for this is that retention times between different LC-MS runs be made comparable via alignment. The order in which LC-MS runs are aligned is determined by hierarchical clustering, which allows one to avoid reliance on a single master run. The terminal branches of the tree from the hierarchical clustering typically connect LC-MS runs of the same or neighboring fractions or replicate runs, as they are the most similar. These cases are aligned first. Moving along the tree structure, increasingly dissimilar runs are integrated. The calibration functions that are needed to completely align LC-MS runs are usually time-dependent in a nonlinear way. Every pair-wise alignment step is performed via two-dimensional Gaussian kernel smoothing of the mass matches between the two runs. Following the ridge of the highest density region determines the recalibration function. At each tree node the resulting recalibration function is applied to one of the two subtrees, and the other is left unaltered.
Unidentified LC-MS features are then assigned to peptide identifications in other runs that match based on their accurate masses and aligned retention times. In complex proteomes, the high mass accuracy on current Orbitrap instruments is still insufficient for an unequivocal peptide identification based on the peptide mass alone. However, when comparing peptides in similar LC-MS runs, the information contained in peptide mass and recalibrated retention time is enough to transfer identifications with a sufficiently low FDR (in the range of 1%), which one can estimate by comparing the density of matches inside the match time window to the density outside this window (49 ).
The matching procedure takes into account the up-front separation, in this case isoelectric focusing of peptides into 24 fractions. Identifications are only transferred into adjacent fractions. If, for instance, for a given peptide sequenced in fraction 7, isotope patterns are found to match by mass and retention time in fractions 6, 8, and 17, the matches in fraction 17 are discarded because they have a much greater probability of being false. The same strategy can be applied to any other up-front peptide or protein separation (e.g. one-dimensional gel electrophoresis). All matches with retention time differences of less than 0.5 min after recalibration are accepted. Further details on the alignment and matching algorithms, including how to control the FDR of matching, will be described in a future manuscript.
Publication 2014
DNA Replication Electrophoresis Forehead Isotopes Peptides Proteins Proteome Reliance resin cement Retention (Psychology) Tandem Mass Spectrometry Trees

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Publication 2009
Dissociative Hysteria ECHO protocol Forehead
The following summarizes the steps required for a developer to turn an existing Rosetta application into a ROSIE server. It is a snapshot of the protocol at the time of writing. A continuously updated version of this protocol is being made available at http://goo.gl/Sh7oB. Importantly, the protocol has been written by new ROSIE developers and so captures the perspective required to promote faster first development cycles for other new engineers. ROSIE development tools and source code are available to registered developers through RosettaCommons.
Download the VM (http://graylab.jhu.edu/ROSIE) and open it with VirtualBox (http://www.virtualbox.org). Before you start, you may want to do a ‘svn update’ in ‘∼/rosie’ and ‘∼/R/trunk/rosetta’, and rebuild the Rosetta trunk, since they may be out of date.
1 Modify the file ‘rosie/rosie.front/development.ini’. Find the line ‘host = 192.168.0.64’ and comment it out. Enable the line ‘host = 127.0.0.1’.
2 To run the server: Open two terminals. In one of them, cd into ‘rosie/rosie.back’ and execute ‘./run_rosie-daemon.sh’. In the other terminal, cd into ‘rosie/rosie.front’ and execute ‘./run-rosie-server.sh’.
3 Open ‘localhost:8080’ in your browser. Login as admin (password: managepass).
1 Create your application in rosie.back/protocols/XXX. You need at least two files: submit.py and analyze.py. See “rna_denovo” for example files.
2 For machine-dependent files, edit rosie.back/data.template/XXX. Edit rosie.back/rosie-daemon.ini.template, add useful shorthands and add the app into the protocol line. Copy the corresponding files to rosie.back/data/XXX and rosie.back/rosie-daemon.ini so the VM server can read the files.
3 Add the corresponding controller in rosie.front/rosie/controllers/XXX.py. See rna_denovo.py as an example.
4 Add your controller into controllers/root.py. In root.py, search for ‘rna_denovo’. Add the two corresponding lines for your application.
5 During the creation of the controller files, you may want to make some validation checks for the input format. They are in rosie.front/rosie/lib/validators. You might need to create your own validation tests.
6 Create your page in rosie.front/rosie/templates/XXX/. You need at least 3 pages: index.html, submit.html, and viewjob.html. See rna_denovo for example.
7 Link your application to the main page in template/index.html.
8 You may want an icon. Put a png file of ∼ 1024*1024 into rosie/public/image/XXX_icon.png, and link it to the pages.
9 For documentation, create pages in template/documentations. Also you need to edit controllers/documentation.py to let the server know where it is. Then link your documentation to documentation/index.html and in the other pages of your application.
10 Edit rosie.front/rosie/websetup/bootstrap.py and add the name of the new app.
11 Go to rosie.front/. Run ‘source ∼/prefix/TurboGears-2.2/bin/activate’ then ‘python update_protocol_schema.py’ to update the database.
12 Test the new application in the browser of the VM to make sure it runs fine.
13 Create a new file rosie/doc/XXX.txt, put a short description of protocol input, output, and command line flags. Also add an example job, with input files and a simple readme, into rosie/examples/validation_tests.
14 Commit the changes (use ‘svn commit –username XXXX’ to specify the user name of the commit). Inform the ROSIE administrators for integration into the central server.
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Publication 2013
Administrators Forehead Plant Roots Python
Optical recordings from the isolated leech central nervous system were made by K. Briggman and W. Kristan and have been described previously24 (link),25 (link). We recorded neural activity from trained monkeys using both single- and multi-electrode techniques. We recorded from the arm representation of premotor cortex using a wireless system while the monkey walked to obtain juice from the front of a treadmill. We recorded from the arm representation of motor and premotor cortex while monkeys reached to targets projected onto a vertically oriented screen, also for juice reward. All surgical and animal care procedures were performed in accordance with National Institutes of Health guidelines and were approved by the Stanford University Institutional Animal Care and Use Committee.
Publication 2012
Animals Central Nervous System Institutional Animal Care and Use Committees Leeches Monkeys Nervousness Operative Surgical Procedures Premotor Cortex Vision

Most recents protocols related to «Forehead»

Example 2

The next experiments asked whether inhibition of the same set of FXN-RFs would also upregulate transcription of the TRE-FXN gene in post-mitotic neurons, which is the cell type most relevant to FA. To derive post-mitotic FA neurons, FA(GM23404) iPSCs were stably transduced with lentiviral vectors over-expressing Neurogenin-1 and Neurogenin-2 to drive neuronal differentiation, according to published methods (Busskamp et al. 2014, Mol Syst Biol 10:760); for convenience, these cells are referred to herein as FA neurons. Neuronal differentiation was assessed and confirmed by staining with the neuronal marker TUJ1 (FIG. 2A). As expected, the FA neurons were post-mitotic as evidenced by the lack of the mitotic marker phosphorylated histone H3 (FIG. 2B). Treatment of FA neurons with an shRNA targeting any one of the 10 FXN-RFs upregulated TRE-FXN transcription (FIG. 2C) and increased frataxin (FIG. 2D) to levels comparable to that of normal neurons. Likewise, treatment of FA neurons with small molecule FXN-RF inhibitors also upregulated TRE-FXN transcription (FIG. 2E) and increased frataxin (FIG. 2F) to levels comparable to that of normal neurons.

It was next determined whether shRNA-mediated inhibition of FXN-RFs could ameliorate two of the characteristic mitochondrial defects of FA neurons: (1) increased levels of reactive oxygen species (ROS), and (2) decreased oxygen consumption. To assay for mitochondrial dysfunction, FA neurons an FXN-RF shRNA or treated with a small molecule FXN-RF inhibitor were stained with MitoSOX, (an indicator of mitochondrial superoxide levels, or ROS-generating mitochondria) followed by FACS analysis. FIG. 3A shows that FA neurons expressing an NS shRNA accumulated increased mitochondrial ROS production compared to EZH2- or HDAC5-knockdown FA neurons. FIG. 3B shows that FA neurons had increased levels of mitochondrial ROS production compared to normal neurons (Codazzi et al., (2016) Hum Mol Genet 25(22): 4847-485). Notably, inhibition of FXN-RFs in FA neurons restored mitochondrial ROS production to levels comparable to that observed in normal neurons. In the second set of experiments, mitochondrial oxygen consumption, which is related to ATP production, was measured using an Agilent Seahorse XF Analyzer (Divakaruni et al., (2014) Methods Enzymol 547:309-54). FIG. 3C shows that oxygen consumption in FA neurons was ˜60% of the level observed in normal neurons. Notably, inhibition of FXN-RFs in FA neurons restored oxygen consumption to levels comparable to that observed in normal neurons. Collectively, these preliminary results provide important proof-of-concept that inhibition of FXN-RFs can ameliorate the mitochondrial defects of FA post-mitotic neurons.

Mitochondrial dysfunction results in reduced levels of several mitochondrial Fe-S proteins, such as aconitase 2 (ACO2), iron-sulfur cluster assembly enzyme (ISCU) and NADH:ubiquinone oxidoreductase core subunit S3 (NDUFS3), and lipoic acid-containing proteins, such as pyruvate dehydrogenase (PDH) and 2-oxoglutarate dehydrogenase (OGDH), as well as elevated levels of mitochondria superoxide dismutase (SOD2) (Urrutia et al., (2014) Front Pharmacol 5:38). Immunoblot analysis is performed using methods known in the art to determine whether treatment with an FXN-RF shRNA or a small molecule FXN-RF inhibitor restores the normal levels of these mitochondrial proteins in FA neurons.

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Patent 2024
Aconitate Hydratase Biological Assay Cells Cloning Vectors Enzymes EZH2 protein, human frataxin Genets HDAC5 protein, human Histone H3 Immunoblotting Induced Pluripotent Stem Cells inhibitors Iron Ketoglutarate Dehydrogenase Complex Mitochondria Mitochondrial Inheritance Mitochondrial Proteins MitoSOX NADH NADH Dehydrogenase Complex 1 NEUROG1 protein, human Neurons Oxidoreductase Oxygen Consumption Proteins Protein Subunits Psychological Inhibition Pyruvates Reactive Oxygen Species Repression, Psychology Seahorses Short Hairpin RNA Sulfur sulofenur Superoxide Dismutase Superoxides Thioctic Acid Transcription, Genetic

Example 1

A double cloth, plain weave webbing was produced on a needle loom. Each side of the webbing was constructed of 48 ends of 1600 d, 1000 filament ultra-high molecular weight polyethylene yarns and 24 ends of 1000 d, 192 filament polyester yarns along the edges of the webbing, and 12±2 ppi of 1600 d, 1000 filament ultra-high molecular weight polyethylene yarns. The stuffer yarns were 1500 d, 3×4 Kevlar® cord, and 14 cords (168 yarns) were positioned between the front and back sides of the webbing. Binder yarns of 1600 d, 1000 filament ultra-high molecular weight polyethylene yarn binder were woven between the front and back to secure the sides together. A polyester catch cord (1000 d/192/1.5 z) was used to bind the edges of the webbing.

The webbing had a width of approximately 1.0 inches, a thickness of approximately 0.14 inches and a weight of approximately 58 g/linear yard. The tensile strength of the webbing was approximately 8,000 lbs.

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Patent 2024
Cone-Rod Dystrophy 2 Cytoskeletal Filaments Forehead Needles Polyesters ultra-high molecular weight polyethylene
All procedures were approved by the University of Kentucky’s Institutional Animal Care and Use Committee. Male Brown Norway/F344 rats at 10 months of age (National Institute on Aging, Bethesda, MD) were used in this study. Rats were randomly assigned into one of four groups: weight-bearing control conditions (WB), hindlimb suspension (HS) for 4 h (4h HS), HS for 24 h (24h HS), and HS for 7 days (7d HS). Rats were allowed free access to food and water at all times and were housed on a 12:12-h light-dark cycle. Hindlimb suspension was performed as previously described [22 (link)]. Briefly, a tail device containing a hook was attached with gauze and cyanoacrylate glue while the animals were anesthetized with isoflurane (2% by inhalation). The tail device was connected via a thin cable to a pulley sliding on a vertically adjustable stainless steel bar running longitudinally above a high-sided cage. The system was designed in such a way that the rats could not rest their hindlimbs against any side of the cage but could move around the cage on their front limbs and could reach water and food easily. Cages were randomly placed in the room, and the room temperature was 27 °C.
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Publication 2023
Animals Cyanoacrylates Food Forehead Hindlimb Inhalation Institutional Animal Care and Use Committees Isoflurane Males Medical Devices Rats, Inbred BN Rats, Inbred F344 Rattus norvegicus Stainless Steel Tail

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Publication 2023
Animals Blood Vessel Eye Gaze Ferrets Forehead Light Sinusoidal Beds
CBM-I in the current study is based on the WSAT paradigm used in previous studies (Beard & Amir, 2008 (link)) and was programmed using E-prime software (Schneider et al., 2002 ). The original version of WSAT was slightly modified for targeting HAB and cyber-aggression among adolescents. The main modifications made to the original WSAT paradigm included (1) Stimuli were modified to target HAB in the cyber context, and also adapted for use with middle school students; (2) The order of the stimulus presentation was reversed (the ambiguous scenario sentences appeared first, followed by the word reflecting the hostile or benign interpretation), as the shift order presenting ambiguous sentence first may better map on to the definition of interpretation bias as being the tendency to interpret ambiguous social cues in a negative manner (Gonsalves et al., 2019 (link)); (3) Similar to the stimuli used in studies of Vassilopoulos and Brouzos (2016 (link), 2022 (link)), the words reflecting the hostile or benign interpretation were replaced by sentences for helping the younger students better understand the meaning of these interpretations.
Each CBM-I trial comprised four phases (see Fig. 2). First, a fixation cross (“+”) was displayed on the computer screen for 500 ms. The participants were informed that a trial was beginning when the fixation cross appeared, and their attention should be directed toward the middle of the screen. Second, one sentence describing an ambiguous cyber scenario (e.g., “Your best friend posted one unflattering picture of you on WeChat moments.”) in which the intentions and motives of others could be interpreted both negatively and positively displayed and remained on the computer screen until the space bar was pressed by participants indicating they finished reading the sentence. Third, a sentence representing either a hostile interpretation (e.g., “he/she wants to make you look bad in front of others”) or a benign interpretation (e.g., “he/she thinks you are cute in this picture and did not mean to embarrass you.”) about the former scenario appeared in the center of the screen until participants press the space bar. Fourth, participants responded regarding the question (“What’s your opinion about this interpretation? Right or Wrong?) appeared on the computer screen by pressing #A(‘Right’) or #L(‘Wrong’) on the keyboard. The computer provided feedback about their response. Specifically, participants would receive positive feedback (‘Your answer is correct!’) for pressing #A(‘Right’) in benign interpretation trials or pressing #L(‘Wrong’) in hostile interpretation trials. They would receive negative feedback (‘Your answer is wrong!’) for pressing #L(‘Wrong’) in benign interpretation trials or pressing #A(‘Right’) in hostile interpretation trials. In short, they would receive positive feedback only when they endorsed benign interpretation and rejected hostile interpretation.
The entire training consisted of 8 sessions, spread over 4 weeks. Each session lasted about 15 min and consisted of 40 training trials (320 total trials over 8 sessions). These trials were developed in our lab and presented randomly. Participants completed two sessions per week, and they had a short break between two sessions (about 5 min).

Example trial of CBM-I

Publication 2023
Adolescent Attention Forehead Friend Hostility Motivation Student Thinking

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More about "Forehead"

The forehead, also known as the brow or frontalis, is the anatomical region of the head that extends from the eyebrows to the hairline.
It is an important area for various medical and cosmetic procedures, including the treatment of headaches, skin conditions, and facial aesthetics.
This region is a key focus for researchers studying topics such as neuroscience, oculomotor control, and facial imaging.
Researchers can utilize PubCompare.ai's AI-powered platform to streamline their forehead-focused studies.
This platform allows them to locate relevant protocols from literature, preprints, and patents, and compare them to identify the best approaches for their research.
This data-driven decision-making can enhance reproducibility and research accuracy, leading to more robust and reliable findings.
In addition to PubCompare.ai, researchers may also leverage tools like MATLAB, EyeLink 1000, Arctic Front Advance, Presentation software, and the EyeLink 1000 eye tracker to study the forehead region.
These technologies can be used for a variety of applications, such as measuring eye movements, analyzing facial expressions, and investigating the effects of pertussis toxin on forehead muscle activity.
The EyeLink 1000 Plus is a high-performance eye tracker that can provide precise and reliable data on eye movements and gaze patterns, which can be useful for studying forehead-related topics.
The FlexCath Advance, on the other hand, is a catheter system that can be used for various medical procedures involving the forehead, such as the treatment of certain skin conditions or the administration of botulinum toxin injections.
By leveraging these tools and technologies, researchers can gain valuable insights into the forehead region and its role in various physiological, behavioral, and clinical processes.
With the help of PubCompare.ai's AI-driven platform, they can make more informed and data-driven decisions, ultimately enhancing the quality and impact of their forehead-focused studies.