keyword
https://read.qxmd.com/read/38512140/exploring-biased-activation-characteristics-by-molecular-dynamics-simulation-and-machine-learning-for-the-%C3%AE-opioid-receptor
#21
JOURNAL ARTICLE
Jianfang Chen, Qiaoling Gou, Xin Chen, Yuanpeng Song, Fuhui Zhang, Xuemei Pu
Biased ligands selectively activating specific downstream signaling pathways (termed as biased activation) exhibit significant therapeutic potential. However, the conformational characteristics revealed are very limited for the biased activation, which is not conducive to biased drug development. Motivated by the issue, we combine extensive accelerated molecular dynamics simulations and an interpretable deep learning model to probe the biased activation features for two complex systems constructed by the inactive μOR and two different biased agonists (G-protein-biased agonist TRV130 and β-arrestin-biased agonist endomorphin2)...
March 21, 2024: Physical Chemistry Chemical Physics: PCCP
https://read.qxmd.com/read/38499583/states-of-epistemic-curiosity-interfere-with-memory-for-incidental-scholastic-facts
#22
JOURNAL ARTICLE
Nicole E Keller, Carola Salvi, Emily K Leiker, Matthias J Gruber, Joseph E Dunsmoor
Curiosity can be a powerful motivator to learn and retain new information. Evidence shows that high states of curiosity elicited by a specific source (i.e., a trivia question) can promote memory for incidental stimuli (non-target) presented close in time. The spreading effect of curiosity states on memory for other information has potential for educational applications. Specifically, it could provide techniques to improve learning for information that did not spark a sense of curiosity on its own. Here, we investigated how high states of curiosity induced through trivia questions affect memory performance for unrelated scholastic facts (e...
March 18, 2024: NPJ Science of Learning
https://read.qxmd.com/read/38492501/conditioned-preferences-gated-by-experience-context-and-endocrine-systems
#23
JOURNAL ARTICLE
Patrick K Monari, Emma R Hammond, Xin Zhao, Alyse N Maksimoski, Radmila Petric, Candice L Malone, Lauren V Riters, Catherine A Marler
Central to the navigation of an ever-changing environment is the ability to form positive associations with places and conspecifics. The functions of location and social conditioned preferences are often studied independently, limiting our understanding of their interplay. Furthermore, a de-emphasis on natural functions of conditioned preferences has led to neurobiological interpretations separated from ecological context. By adopting a naturalistic and ethological perspective, we uncover complexities underlying the expression of conditioned preferences...
March 15, 2024: Hormones and Behavior
https://read.qxmd.com/read/38489390/correction-for-sinclair-et-al-instructed-motivational-states-bias-reinforcement-learning-and-memory-formation
#24
JOURNAL ARTICLE
(no author information available yet)
No abstract text is available yet for this article.
March 19, 2024: Proceedings of the National Academy of Sciences of the United States of America
https://read.qxmd.com/read/38487673/-there-was-no-opportunity-to-express-good-or-bad-perspectives-from-patient-focus-groups-on-patient-experience-in-clinical-trials
#25
JOURNAL ARTICLE
Patrick Boyd, Elizabeth A Sternke, David J Tite, Kristopher Morgan
To understand how patients perceive their experiences leading up to, during, and after a clinical trial, and the relationship these experiences had with future willingness to participate, we conducted 3 focus groups with patients who had prior clinical trial involvement (n  =  25). Discussion topics included clinical trial discovery, enrollment, communication, trust, patient-centricity, and future enrollment. Patient focus groups revealed a variety of motivations for enrolling in clinical trials (eg, altruism, efficacious treatment, curiosity, desperation, etc...
2024: Journal of Patient Experience
https://read.qxmd.com/read/38478692/unsupervised-identification-of-significant-lineages-of-sars-cov-2-through-scalable-machine-learning-methods
#26
JOURNAL ARTICLE
Roberto Cahuantzi, Katrina A Lythgoe, Ian Hall, Lorenzo Pellis, Thomas House
Since its emergence in late 2019, SARS-CoV-2 has diversified into a large number of lineages and caused multiple waves of infection globally. Novel lineages have the potential to spread rapidly and internationally if they have higher intrinsic transmissibility and/or can evade host immune responses, as has been seen with the Alpha, Delta, and Omicron variants of concern. They can also cause increased mortality and morbidity if they have increased virulence, as was seen for Alpha and Delta. Phylogenetic methods provide the "gold standard" for representing the global diversity of SARS-CoV-2 and to identify newly emerging lineages...
March 19, 2024: Proceedings of the National Academy of Sciences of the United States of America
https://read.qxmd.com/read/38476860/united-states-government-supported-family-planning-and-reproductive-health-outreach-in-the-democratic-republic-of-the-congo-lessons-learned-and-recommendations
#27
JOURNAL ARTICLE
Sahra Ibrahimi, Bamba Youssouf, Christine Potts, Alexandre Dumouza, Rani Duff, Landry-Serges Malaba, Bettina Brunner
BACKGROUND: In response to limited contraception availability and a lack of knowledge about family planning (FP) in the Democratic Republic of the Congo (DRC), the United States Agency for International Development (USAID) Integrated Health Program (IHP) in the DRC has been providing FP services, including outreach programs in the DRC. Our study aims to assess the FP outreach program by understanding the participants' perception of the campaign, its impact on their behavior, and their feedback regarding the campaign...
2024: Open Access Journal of Contraception
https://read.qxmd.com/read/38470660/risk-management-and-patient-safety-in-the-artificial-intelligence-era-a-systematic-review
#28
REVIEW
Michela Ferrara, Giuseppe Bertozzi, Nicola Di Fazio, Isabella Aquila, Aldo Di Fazio, Aniello Maiese, Gianpietro Volonnino, Paola Frati, Raffaele La Russa
BACKGROUND: Healthcare systems represent complex organizations within which multiple factors (physical environment, human factor, technological devices, quality of care) interconnect to form a dense network whose imbalance is potentially able to compromise patient safety. In this scenario, the need for hospitals to expand reactive and proactive clinical risk management programs is easily understood, and artificial intelligence fits well in this context. This systematic review aims to investigate the state of the art regarding the impact of AI on clinical risk management processes...
February 27, 2024: Healthcare (Basel, Switzerland)
https://read.qxmd.com/read/38470576/enhancing-information-maximization-with-distance-aware-contrastive-learning-for-source-free-cross-domain-few-shot-learning
#29
JOURNAL ARTICLE
Huali Xu, Li Liu, Shuaifeng Zhi, Shaojing Fu, Zhuo Su, Ming-Ming Cheng, Yongxiang Liu
Existing Cross-Domain Few-Shot Learning (CDFSL) methods require access to source domain data to train a model in the pre-training phase. However, due to increasing concerns about data privacy and the desire to reduce data transmission and training costs, it is necessary to develop a CDFSL solution without accessing source data. For this reason, this paper explores a Source-Free CDFSL (SF-CDFSL) problem, in which CDFSL is addressed through the use of existing pretrained models instead of training a model with source data, avoiding accessing source data...
March 12, 2024: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://read.qxmd.com/read/38466840/onscreen-presence-of-instructors-in-video-lectures-affects-learners-neural-synchrony-and-visual-attention-during-multimedia-learning
#30
JOURNAL ARTICLE
Chanyuan Gu, Yingying Peng, Samuel A Nastase, Richard E Mayer, Ping Li
COVID-19 forced students to rely on online learning using multimedia tools, and multimedia learning continues to impact education beyond the pandemic. In this study, we combined behavioral, eye-tracking, and neuroimaging paradigms to identify multimedia learning processes and outcomes. College students viewed four video lectures including slides with either an onscreen human instructor, an animated instructor, or no onscreen instructor. Brain activity was recorded via fMRI, visual attention was recorded via eye-tracking, and learning outcome was assessed via post-tests...
March 19, 2024: Proceedings of the National Academy of Sciences of the United States of America
https://read.qxmd.com/read/38466584/collappi-a-collaborative-learning-framework-for-predicting-protein-protein-interactions
#31
JOURNAL ARTICLE
Wenjian Ma, Xiangpeng Bi, Huasen Jiang, Shugang Zhang, Zhiqiang Wei
Exploring protein-protein interaction (PPI) is of paramount importance for elucidating the intrinsic mechanism of various biological processes. Nevertheless, experimental determination of PPI can be both time-consuming and expensive, motivating the exploration of data-driven deep learning technologies as a viable, efficient, and accurate alternative. Nonetheless, most current deep learning-based methods regarded a pair of proteins to be predicted for possible interaction as two separate entities when extracting PPI features, thus neglecting the knowledge sharing among the collaborative protein and the target protein...
March 11, 2024: IEEE Journal of Biomedical and Health Informatics
https://read.qxmd.com/read/38461126/video-accounts-of-first-year-pharmacy-students-identification-with-the-oath-of-a-pharmacist
#32
JOURNAL ARTICLE
Kenric B Ware, Hannah S Burn
INTRODUCTION: The Oath of a Pharmacist (OAP) includes principles that help to direct the practice of pharmacy. The primary objective of this study was to evaluate which OAP components appealed the most to pharmacy students through self-generated video recordings. The secondary objective was to explore students' perceptions of this activity by retrieving their feedback about future video development considerations. METHODS: First-year pharmacy students were invited by email to individually create a 1-min video that discussed an OAP tenet that resonated the most with them and why...
March 8, 2024: Currents in Pharmacy Teaching & Learning
https://read.qxmd.com/read/38452142/learning-from-fights-males-social-dominance-status-impact-reproductive-success-in-drosophila-melanogaster
#33
JOURNAL ARTICLE
Antoine Prunier, Severine Trannoy
In animals, the access to vital resources often relies on individuals' behavioural personality, strength, motivation, past experiences and dominance status. Dominant individuals would be more territorial, providing them with a better access to food resources and mate. The so-called winner and loser effects induce individuals' behavioural changes after experiencing a victory or a defeat, and lead to an individual persistent state influencing the outcome of subsequent fights. However, whether and how development of winner and loser effects affect individuals' fitness is controversial...
2024: PloS One
https://read.qxmd.com/read/38442052/learning-to-generalize-towards-unseen-domains-via-a-content-aware-style-invariant-model-for-disease-detection-from-chest-x-rays
#34
JOURNAL ARTICLE
Mohammad Zunaed, Md Aynal Haque, Taufiq Hasan
Performance degradation due to distribution discrepancy is a longstanding challenge in intelligent imaging, particularly for chest X-rays (CXRs). Recent studies have demonstrated that CNNs are biased toward styles (e.g., uninformative textures) rather than content (e.g., shape), in stark contrast to the human vision system. Radiologists tend to learn visual cues from CXRs and thus perform well across multiple domains. Motivated by this, we employ the novel on-the-fly style randomization modules at both image (SRM-IL) and feature (SRM-FL) levels to create rich style perturbed features while keeping the content intact for robust cross-domain performance...
March 5, 2024: IEEE Journal of Biomedical and Health Informatics
https://read.qxmd.com/read/38440319/learning-representations-from-heart-sound-a-comparative-study-on-shallow-and-deep-models
#35
JOURNAL ARTICLE
Kun Qian, Zhihao Bao, Zhonghao Zhao, Tomoya Koike, Fengquan Dong, Maximilian Schmitt, Qunxi Dong, Jian Shen, Weipeng Jiang, Yajuan Jiang, Bo Dong, Zhenyu Dai, Bin Hu, Björn W Schuller, Yoshiharu Yamamoto
Leveraging the power of artificial intelligence to facilitate an automatic analysis and monitoring of heart sounds has increasingly attracted tremendous efforts in the past decade. Nevertheless, lacking on standard open-access database made it difficult to maintain a sustainable and comparable research before the first release of the PhysioNet CinC Challenge Dataset. However, inconsistent standards on data collection, annotation, and partition are still restraining a fair and efficient comparison between different works...
2024: Cyborg Bionic Syst
https://read.qxmd.com/read/38435607/an-efficient-consolidation-of-word-embedding-and-deep-learning-techniques-for-classifying-anticancer-peptides-fasttext-bilstm
#36
JOURNAL ARTICLE
Onur Karakaya, Zeynep Hilal Kilimci
Anticancer peptides (ACPs) are a group of peptides that exhibit antineoplastic properties. The utilization of ACPs in cancer prevention can present a viable substitute for conventional cancer therapeutics, as they possess a higher degree of selectivity and safety. Recent scientific advancements generate an interest in peptide-based therapies which offer the advantage of efficiently treating intended cells without negatively impacting normal cells. However, as the number of peptide sequences continues to increase rapidly, developing a reliable and precise prediction model becomes a challenging task...
2024: PeerJ. Computer Science
https://read.qxmd.com/read/38420270/self-driven-solutions-and-resilience-adapted-by-people-with-drug-resistant-tuberculosis-and-their-caregivers-in-bengaluru-and-hyderabad-india-a-qualitative-study
#37
JOURNAL ARTICLE
Karikalan Nagarajan, Karthikeyan Kumarswamy, Rehana Begum, Vikas Panibatla, Anil Singarajipura, Rajesham Adepu, Joseph Francis Munjattu, Senthil Sellapan, Stephen Arangba, Amrita Goswami, Reuben Swamickan, Javeed Basha, Pearl Maria Dsouza, Malaisamy Muniyandi
BACKGROUND: One-fifth of people with drug-resistance tuberculosis (DR-TB) who were initiated on newer shorter treatment regimen (with injection) had unfavourable treatment outcomes in India as on 2020. Evidence on self-driven solutions and resilience adapted by people with DR-TB (PwDR-TB) towards their multi-dimensional disease and treatment challenges are scarce globally, which we aimed to understand. METHODS: In this qualitative study using positive deviance framework, we conducted semi-structured in-depth interviews among consenting adult PwDR-TB (7 women, 13 men) who completed shorter treatment regimen (including injections) with maximum treatment adherence...
March 2024: Lancet Reg Health Southeast Asia
https://read.qxmd.com/read/38418750/developmental-trajectories-of-adolescents-math-motivation-the-role-of-mindset-and-perceptions-of-informal-stem-learning-site-inclusivity
#38
JOURNAL ARTICLE
Emine Ozturk, Mengya Zhao, Adam J Hoffman, Angelina Joy, Christina S Marlow, Fidelia Law, Ashley R Deutsch, Channing J Mathews, Luke McGuire, Frances Balkwill, Karen Burns, Laurence Butler, Marc Drews, Grace Fields, Hannah Smith, Mark Winterbottom, Adam Rutland, Adam Hartstone-Rose, Kelly Lynn Mulvey
Motivation is a key factor in engagement, achievement, and career choices in science, technology, engineering, and mathematics (STEM). While existing research has focused on student motivation toward math in formal school programs, new work is needed that focuses on motivation for those involved in informal STEM programs. Specifically, the role of math mindset and perceived inclusivity of informal STEM sites (to those of varying gender and ethnic backgrounds) on longitudinal trajectories of adolescents' math motivation has not been explored...
February 28, 2024: Journal of Youth and Adolescence
https://read.qxmd.com/read/38413128/discovering-social-learning-ecosystems-during-clinical-clerkship-from-united-states-medical-students-feedback-encounters-a-content-analysis
#39
JOURNAL ARTICLE
Anna T Cianciolo, Heeyoung Han, Lydia A Howes, Debra L Klamen, Sophia Matos
PURPOSE: We examined United States medical students' self-reported feedback encounters during clerkship training to better understand in situ feedback practices. Specifically, we asked: Who do students receive feedback from, about what, when, where, and how do they use it? We explored whether curricular expectations for preceptors' written commentary aligned with feedback as it occurs naturalistically in the workplace. METHODS: This study occurred from July 2021 to February 2022 at Southern Illinois University School of Medicine...
2024: Journal of Educational Evaluation for Health Professions
https://read.qxmd.com/read/38393767/exploring-the-use-of-a-learning-based-exergame-to-enhance-physical-literacy-soft-skills-and-academic-learning-in-school-age-children-pilot-interventional-study
#40
JOURNAL ARTICLE
Aurelie Goncalves, Florence Lespiau, Gaëtan Briet, Eugénie Vaillant-Coindard, Angèle Palermo, Elsa Decobert, Nathan Allegret-Bourdon, Elodie Charbonnier
BACKGROUND: There is ample evidence that most children do not perform enough physical activity (PA). To address this major public health problem, the French government implemented 30 minutes of daily PA (DPA) at schools but did not provide any supplemental resources or concrete guidance. Considering both children's interest in video games and the need for teachers to complete their curriculum, the use of a learning-based exergame that combines PA and learning appears particularly relevant...
February 23, 2024: JMIR Serious Games
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