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45Project ScheduleSTOMPS Example 46(No Transcript) 47(No Transcript) 48(No Transcript) 49PART VI - Future PlansComplete Primary Analysis Coordinate and Schedule Secondary Analyses Papers Study Specific and DMC Implement New Studies LEAPS ICARE 50DMC Papers - In DevelopmentDESCRIPTION OF A CLINICAL RESEARCH NETWORK FOR THE EVALUATION OF PHYSICAL THERAPY INTERVENTIONS James Baurley, Carolyn Ervin, Tingting Ge, Stanley Azen, Carolee Winstein Departments of Preventive Medicine and Biokinesiology and Physical Therapy University of Southern California, Los Angeles CA USABAYESIAN META-ANALYSIS OF EFFECTS OF STRENGTH TRAINING INTERVENTIONS ON FUNCTION IN PATIENTS WITH PHYSICAL DISABILITIES James Baurley, Stanley Azen, David Conti, Carolee Winstein, Carolyn Ervin Departments of Preventive Medicine and Biokinesiology and Physical Therapy University of Southern California, Los Angeles CA USAASSESSMENT OF THE COMPARABILITY OF THE TWO VERSIONS OF SF-36 IN A PHYSICAL THERAPY CONTEXT Tingting Ge, Stanley Azen, Carolyn Ervin, James Baurley, Carolee Winstein Departments of Preventive Medicine and Biokinesiology and Physical Therapy University of Southern California, Los Angeles CA USA 51QUESTIONS? 52Project SchedulePEDALS Example 53(No Transcript) 54(No Transcript) 55Project ScheduleMUSSEL Example 56(No Transcript) 57(No Transcript) 58Project ScheduleSTEPS Example 59(No Transcript) 60(No Transcript) 61Project ScheduleSTOMPS Example 62(No Transcript) 63(No Transcript) 64(No Transcript). Download Medical Transcript Analysis 1.0.0.0 - Scan and perform text analysis on medical transcripts.

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HomeUnderstand sentiment analysis Sentiment analysis is the process of understanding a customer’s experience during an interaction based on the language used during an interaction. Sentiment analysis is performed on the transcript generated from the interaction. Sentiment analysis classifies each customer phrase as a positive, negative, or neutral attitude based on the language used throughout the interaction. A sentiment score is assigned to a phrase based on the magnitude of positivity or negativity detected within that phrase. A sentiment marker representing the positive or negative phrase is placed in the interaction overview waveform and in the transcript. Subsequently, all of the positive and negative sentiment values are used to calculate an overall sentiment score and an overall sentiment trend for the interaction. For example, you can use sentiment analysis results to search for a list of interactions with a high negative sentiment score to identify frustrated customer experiences, determine the root cause of the customer’s frustration, provide them with the solution they need, and ultimately improve the customer’s experience and agent performance.Sentiment analysis information is available in APIs as well as in the Interaction Detail View. For information about EU AI Act restrictions, see: How does the EU emotion AI ban affect customer sentiment analysis and agent empathy analysis?Notes: There may be a short delay between the time you view an interaction transcript to the time sentiment markers appear in the transcript. The quality of audio interaction transcriptions may affect sentiment analysis. Low quality interactions may lead to missing or mislabeled positive or negative markers. For this reason, and in order to confirm the sentiment, it is important to listen to interactions that include numerous negative sentiments. Call center managers and agents can search for interactions according to a sentiment filter. For more information, see the Content Search view page. Sentiment Browse Presentation Creator Pro Upload Jan 20, 2023 130 likes | 617 Views Microbiology can become one of the most scoring subjects for you if you focus on gaining conceptual clarity. The best Microbiology book for conceptual clarity in MBBS is Dr. Apurba Sastryu2019s Essentials of Medical Microbiology. Medical faculty across India recommend this book for university exams as well as NEET PG/NExT. Download Presentation Apurba Sastrys Microbiology Book for MBBS NEET PG An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher. Presentation Transcript Apurba Sastry’s Microbiology Book for MBBS & NEET PGMicrobiology can become one of the most scoring subjects for you if you focus on gaining conceptual clarity. The best Microbiology book for conceptual clarity in MBBS is Dr. ApurbaSastry’sEssentials of Medical Microbiology. Medical faculty across India recommend this book for university exams as well as NEET PG/NExT. • This book is particularly useful for both MBBS Prof exams and NEET PG preparation because it contains content that is suitable for system-based teaching. As a matter of fact, this book is the first in its category to include ‘Clinical Microbiology’, highlighting myriad infective syndromes and diagnosis. The updated, concise, and reshuffled book provides detailed explanations, illustrations, references, and case-based discussions which

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Played Rate Download Go to podcast Share November marks National Pet Awareness Month, a time to celebrate our furry and four-legged friends. The Duolingo Spanish Podcast is bringing back our favorite tales of these companions and their owners. Our new season kicks off on November 2nd! Listen to the trailer now! Listen Listen again Continue Playing... Listen later Mi abuela la curandera (My Grandmother the Healer) - Revisited 25 May 2023· Duolingo Spanish Podcast Listen later Mark as played Rate Download Go to podcast Share As a child, Dr. Linda Valencia was fascinated by her grandmother, a traditional healer in Guatemala. But after choosing a different path and becoming a medical doctor, Linda realized that she could integrate the best parts of her grandmother's practices into modern medicine, in order to transform healthcare across Guatemala. A transcript of this episode is available at Listen Listen again Continue Playing... Listen later Tejiendo un legado (Weaving a Legacy) 18 May 2023· Duolingo Spanish Podcast Listen later Mark as played Rate Download Go to podcast Share In El Salvador, waist loom weaving is a revered craft, historically undertaken by women — until Ronald Vega had to take over the job from his sick mother, becoming the first man in his family, and his country, to practice this ancestral technique. A transcript of this episode is available at Listen Listen again Continue Playing... Listen later Una victoria en la cancha (A Victory on the Soccer Field) - Revisited 11 May 2023· Duolingo Spanish Podcast Listen later Mark as played Rate Download Go to podcast Share In May 2019, twenty Paraguayan soccer players traveled from their hometown to Asunción, the nation’s capital, to play the most important game of their lives. Led by their captain, José Elías Argaña, they were the first indigenous team to qualify to Paraguay’s national soccer league. A transcript of this episode is available at Listen Listen again Continue Playing... Listen later Las mamás del río Amazonas (Mothers of the Amazon River) - Revisited 4 May 2023· Duolingo Spanish Podcast Listen later Mark as played Rate Download Go to podcast Share Dr. Magaly Blas trades the security of a city hospital job for a post in the Amazon, where she serves pregnant women who don't have access to modern healthcare. But when Magaly discovers that she, too, is pregnant, her work takes on a whole new level of meaning. A transcript of this episode is available at Listen Listen again Continue Playing... Listen later Show more

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Continues in Buried Echoes...The Rüdiger's Project*SPOILERS FOR THE TALE*As you progress with the objectives of Signal Void, the purpose of each of the bunkers begins to become clearer. A device was built in a large mine and was used to experiment upon patients that were kept inside each bunker, though the test results of this experiment are currently unclear.CollectiblesClothingSecurity Chief's Rifle HolsterNotesSecurity Chief's Log 6Security Chief's Log 14Security Chief's Log 23Security Chief's Log 29Interview Transcript 4Interview Transcript 12Interview Transcript 14Interview Transcript 17NotesCompleting the Tale will award the player with a unique Badge of the same name.This was the first survival mode Tale released for The Long Dark, and is estimated by Hinterland to take 5+ hours to complete.v • d • eSignal Void Part 1 of Tales from the Far TerritoryPeopleProject Medical OfficerThe Security ChiefItemsSecurity Chief's Log 6 14 23 29Interview Transcript 4 12 14 17Other Field 31 Operation Memo Handheld Shortwave RadioLocationsControl TowerBunker AlphaBunker BetaBunker GammaBunker Omegav • d • eSurvival ModeExperience Pilgrim Voyageur Stalker Interloper Misery CustomGameplayOverlayMapNeedsRadial MenuSkillsSurvival OverlaySurvival MenuMechanicsBeachcombingConditionCheat DeathCraftingCuringDecayEncumbranceFeels LikeForagingForgingHarvestingResearch BookRock CacheRope ClimbingScentSnow ShelterStruggleSurvivor MonologueTraderWarm CaveWeak IceCollectables Notes Buffer Memories Cairns Polaroids Mementos Transmitters Recipe Cards Surveyed LocationsOtherBadgesFeatsLoad ScreenAchievementsSafehouseAdvanced GameplayDaisy ChainingEnvironmental HazardHibernationMountain GoatingTalesSignal VoidBuried EchoesLast HorizonSutherland's Tale. Download Medical Transcript Analysis 1.0.0.0 - Scan and perform text analysis on medical transcripts. Medical Transcript Analysis. The Medical Transcript Analysis tool is a revolutionary new analysis tool to help users analyze medical text records. This includes doctors, nurses, physician assistants, researchers and students. MTA comes loaded with sample medical transcripts and a default template for getting started in analysis.

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Output_name_2.fq if paired-end with quality score.Format of the header line: Each simulated read's header line encodes where it comes from. The header line has the format:/@}_rid_dir_sid_pos[_insertL]">{>/@}_rid_dir_sid_pos[_insertL]{>/@}: Either '>' or '@' must appear. '>' appears if FASTA files are generated and '@' appears if FASTQ files are generatedrid: Simulated read's index, numbered from 0dir: The direction of the simulated read. 0 refers to forward strand ('+') and 1 refers to reverse strand ('-')sid: Represent which transcript this read is simulated from. It ranges between 0 and M, where M is the total number of transcripts. If sid=0, the read is simulated from the background noise. Otherwise, the read is simulated from a transcript with index sid. Transcript sid's transcript name can be found in the transcript_id column of the sample_name.isoforms.results file (at line sid + 1, line 1 is for column names)pos: The start position of the simulated read in strand dir of transcript sid. It is numbered from 0insertL: Only appear for paired-end reads. It gives the insert length of the simulated read.Example:Suppose we want to simulate 50 millon single-end reads with quality scores and use the parameters learned from Example. In addition, we set theta0 as 0.2 and output_name as simulated_reads. The command is:rsem-simulate-reads /ref/mouse_0 mmliver_single_quals.stat/mmliver_single_quals.model mmliver_single_quals.isoforms.results 0.2 50000000 simulated_reads Generate Transcript-to-Gene-Map from Trinity OutputFor Trinity users, RSEM provides a perl script to generate transcript-to-gene-map file from the fasta file produced by Trinity.Usage:extract-transcript-to-gene-map-from-trinity trinity_fasta_file map_filetrinity_fasta_file: the fasta file produced by trinity, which contains all transcripts assembled.map_file: transcript-to-gene-map file's name. Differential Expression AnalysisPopular differential expression (DE) analysis tools such as edgeR andDESeq do not take variance due to read mapping uncertainty intoconsideration. Because read mapping ambiguity is prevalent amongisoforms and de novo assembled transcripts, these tools are not idealfor DE detection in such conditions.EBSeq, an empirical Bayesian DE analysis tool developed in UW-Madison,can take variance due to read mapping ambiguity into consideration bygrouping isoforms with parent gene's number of isoforms. In addition,it is more robust to outliers. For more information about EBSeq(including the paper describing their method), please visit EBSeq'swebsite.RSEM includes EBSeq in its folder named EBSeq. To use it,