A survey of sexual harassment and assault in osteopathic medical schools by Kali Chiriboga, Matthew Zeller, Matthew LaPlante, Chaya Prasad

“…Investigation into the impact of changing our hiring and screening processes, as well as changing required disclosures on applications may create a safer learning environment for students and bring us one step closer to improving medicine’s culture around sexual misconduct.…”
Get full text

A dynamic model of interactions of Ca2+, calmodulin, and catalytic subunits of Ca2+/calmodulin-dependent protein kinase II. by Shirley Pepke, Tamara Kinzer-Ursem, Stefan Mihalas, Mary B Kennedy

“…This model provides a quantitative base from which to build more complex dynamic models of postsynaptic signal transduction during learning.…”
Get full text

From eligibility to diagnosis: candidacy and the complex journey of cerebral palsy diagnosis within primary care by Jessica Baggaley, Charlotte Seiboth, Tim Rapley, Anna Basu

“…Infants not identified with risk factors for CP around the time of birth are usually referred on from primary care after six months of age, essentially precluding early therapy. Candidacy, a seven-step dynamic theory, describes how individuals negotiate their eligibility for medical attention with themselves, others, and health services. …”
Get full text

Comparison of strategies for automatic video-based detection of piling behaviour in laying hens by Dan Børge Jensen, Michael Toscano, Esther van der Heide, Matias Grønvig, Franziska Hakansson

“…The long-term goal of our research is to develop a machine learning-based method to automatically detect piling behaviour using a two-step approach: first, a pre-trained convolutional neural network model (VGG-16) is used to extract features from the video data. …”
Get full text

Sparse Linear Discriminant Analysis With Constant Between-Class Distance for Feature Selection by Shuangle Guo, Yongxia Li, Jianguang Zhang, Yue Liu, Tian Tian, Mengchen Guo

“…Feature selection is an important preprocessing step in machine learning to remove irrelevant and redundant features. …”
Get full text

Use of computer support as motivation for studying language information units for carrying out professional maritime activities in communication conditions by Tatyana Panayotovna Avanesova, Elena Yuryevna Zadorozhnaya, Tatyana Dmitrievna Kurshakova, Nonna Ivanovna Kozlova

“…The research methods include testing of experimental groups in training and control modes, using “STEP” computer training system; testing control groups using paper media. …”
Get full text

Predicting the Attraction and Retention of Customers in Sports Pools in Isfahan City Using a Decision Tree: Presenting a Data Mining-Based Model by Seyed Masoud Mirsaeidi, Davood Nasr Esfahani

“…The purpose of this research is collective learning techniques and a combination of classification algorithms in data mining, evaluated the performance of these algorithms to predict whether customers of Isfahan sports pools would drop over a 6-year period. …”
Get full text

HYBRID COMMUNICATION TRAINING TECHNIQUE TO SOLVE WARTIME ACADEMIC AND SAFETY ISSUES: PERCEPTION OF MEDICAL STUDENTS by Lyubov Gutor, Pavlo Sodomora

“…In addition, HCTT can be used as a training tool for Step 1, licensing examination, and Medical English exams, as it is based on professional pre-clinical and clinical topics and includes tasks directed at developing professional thinking, medical vocabulary, and terminology.…”
Get full text

Privacy-Preserving Deep Speaker Separation for Smartphone-Based Passive Speech Assessment by Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert

“…Consequently, speaker separation, which identifies the target speakers’ speech in audio recordings with two or more speakers’ voices, is a crucial pre-processing step in such scenarios. Prior speech separation methods analyzed raw audio. …”
Get full text

A computational account of joint SSRI and anti-inflammatory treatment by Melissa Reneaux, Melissa Reneaux, Helen Mayberg, Karl Friston, Dimitris A. Pinotsis, Dimitris A. Pinotsis

Get full text

PolSAR-SFCGN: An End-to-End PolSAR Superpixel Fully Convolutional Generation Network by Mengxuan Zhang, Jingyuan Shi, Long Liu, Wenbo Zhang, Jie Feng, Jin Zhu, Boce Chu

“…It integrates the extraction of polarization information features and the generation of PolSAR superpixels into one step. PolSAR superpixels can be generated based on deep polarization feature extraction and need no traditional clustering process. …”
Get full text

Trackwise Prediction of GNSS-R Delay–Doppler Maps With DDM-PredRNN Network by Weichen Sun, Xiaochen Wang, Bing Han, Dongkai Yang

“…This article introduces an advanced deep learning framework DDM-PredRNN for predicting DDM in previously unobserved regions. …”
Get full text

Exploring open education resources for teaching pre-reading in the intermediate phase by Marina Burger, Duduzile P. Zwane, Debbie A. Sanders, Kim C. Miller-Weber

“…Although it made reading lessons more engaging, it did not fully implement all pre-reading steps. Conclusion: The success of an OER in improving teaching and learning depends on its design and accessibility. …”
Get full text

HouseGanDi: A Hybrid Approach to Strike a Balance of Sampling Time and Diversity in Floorplan Generation by Azmeraw Bekele Yenew, Beakal Gizachew Assefa, Elefelious Getachew Belay

“…The multimodality allows our model to jump a number of denoising steps while capturing data distributions. To evaluate the effect of the denoising step, we experimented with different time steps and found better diversity results at T = 20. …”
Get full text

A cross-sectional study on peroneal muscle echogenicity changes and their effects on balance functions in individuals with chronic ankle instability by Cheryl Shu Ming Chia, Sai-Chuen Fu, Violet Man-Chi Ko, Ming Wang, Yuxin Zuo, Patrick Shu-Hang Yung, Samuel Ka-Kin Ling

Get full text

BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG Decoding by Muhammad Zulkifal Aziz, Xiaojun Yu, Xinran Guo, Xinming He, Binwen Huang, Zeming Fan

“…However, effectively decoding these MI EEG signals is often overshadowed by flawed methods in signal processing, deep learning methods that are clinically unexplained, and highly inconsistent performance across different datasets. …”
Get full text

Approaches to Student Support in the First Year of Law School by Kate Galloway, Rachel Bradshaw, Neil Dunbar, Jamie Fellows

“…However, what is intuitively clear is that every step in improving participation by Indigenous students will help the overall participation rate. …”
Get full text

Review Revision Techniques Tools for Undergraduate Business Students within the Framework of Ethos, Pathos, and Logos by Safaa A. M. Shaaban, Rehab G. Rabie

“…Students could do this purely out of interest (for the love of learning), but more frequently, they revise to prepare for a test. …”
Get full text

Personalizing mHealth Interventions for Occupational Stress: Protocol for a Randomized Pilot Study by Beatrix Kunas, Oliver Jung, Christoph Schranz, Mathias Schmoigl-Tonis, Manuela Ploessnig, Anton-Rupert Laireiter

“…The app offered interventions based on algorithms, which altered the probability of their selection after learning from the data, thereby personalizing the user experience. …”
Get full text

Development of a digital, self-guided return-to-work toolkit for stroke survivors and employers using intervention mapping. by Kristelle Craven, Jain Holmes, Jade Kettlewell, Kathryn Radford

“…This study developed a self-guided return-to-work toolkit for stroke survivors and employers. Steps 1-4 of the six-step Intervention Mapping approach were followed. …”
Get full text