Identifying key competencies for supporting second victims in different contexts: a scoping review by José Joaquín Mira, Kris Vanhaecht, Deborah Seys, Massimiliano Panella, Reinhard Strametz, Paulo Sousa, Andrea Conti, Alicia Sánchez-García, Clara Pérez-Esteve, Eva Potura

“…Two reviewers independently performed data extraction, with discrepancies resolved by consensus.Results A total of 34 studies were included in the review. …”
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Risk prediction models for short-term mortality in ICU stroke patients: a systematic review and meta-analysis by Jiali Zhang, Yijie Fu, Yan Liu, TianHeng Liu, Yue Deng, LiFei Dai, Tianmin Zhu, Hui Li

“…Meta-analysis yielded a pooled AUC of 0.82 (95% CI: 0.80–0.85), indicating good discriminative ability of the models in predicting short-term mortality in ICU stroke patients. …”
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Missing data imputation of climate time series: A review by Lizette Elena Alejo-Sanchez, Aldo Márquez-Grajales, Fernando Salas-Martínez, Anilu Franco-Arcega, Virgilio López-Morales, Otilio Arturo Acevedo-Sandoval, César Abelardo González-Ramírez, Ramiro Villegas-Vega

“…Furthermore, artificial neural networks demonstrated the ability to identify complex patterns in the data. …”
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Multimodal prediction based on ultrasound for response to neoadjuvant chemotherapy in triple negative breast cancer by Maohua Lyu, Shouheng Yi, Chunyan Li, Yu Xie, Yu Liu, Zeyan Xu, Zhitao Wei, Huan Lin, Yunlin Zheng, Chunwang Huang, Xi Lin, Zaiyi Liu, Shufang Pei, Biao Huang, Zhenwei Shi

“…Multi-dimensional longitudinal quantitative imaging features, including deep learning features and radiomics features, were extracted from multiview B-mode and colour Doppler ultrasound images before and after treatment. …”
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Total flavonoids of Astragalus membranaceus protect against 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced neurotoxicity in mice by inhibiting ferroptosis through SLC7A11/GPX... by Zitian Gao, Gaorui Wang, Yujie Chen, Wuke Yuan, Jun Cai, Aiping Feng, Jie Fang, Qi Xu, Xiaojun Wu

“…The present study aimed to explore the neuroprotective effects of total flavonoids extracted from A. membranaceus (TFA) and their protective mechanisms. …”
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Automatic body condition scoring system for dairy cows in group state based on improved YOLOv5 and video analysis by Jingwen Li, Pengbo Zeng, Shuai Yue, Zhiyang Zheng, Lifeng Qin, Huaibo Song

“…This system enhances feature extraction ability by introducing dual path networks and convolutional block attention modules and improves efficiency by replacing some modules from the standard YOLOv5s with deep separable convolution to reduce parameters. …”
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IonoGAN: An Enhanced Model for Forecasting Quiet and Disturbed Ionospheric Features From Predicted Ionograms by Chu Qiu, Jinhui Cai, Zheng Wang, Pengdong Gao, Guojun Wang, Quan Qi, Bo Wang, Zhengwei Cheng, Jiankui Shi, Yajun Zhu, Xiao Wang, Kai Ding

“…The IonoGAN extends the spatiotemporal information‐preserving and perception‐augmented (STIP) ability by incorporating a Local‐Global discriminator to focus on the F region in ionograms. …”
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Deep learning-based diffusion MRI tractography: Integrating spatial and anatomical information by Yiqiong Yang, Yitian Yuan, Baoxing Ren, Ye Wu, Yanqiu Feng, Xinyuan Zhang

“…To improve the accuracy of streamline propagation predictions, we introduce a novel deep learning framework that integrates image-domain spatial information and anatomical information along tracts, with the former extracted through convolutional layers and the latter modeled via a Transformer-decoder. …”
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Exploring the male fertility potential of medicinal plants from central and West African countries: A systematic review by Ismahil Adekunle Adeniyi, Olufunke Onaadepo, Daniel Owu, Ishak Abdi Jama, Augustine Oviosun, Ekom Monday Etukudo, Elna Owembabazi, Emeka Anyanwu, Patrick Maduabuch Aja, Josiah Ifie, Eric Aigbogun, Wusa Makena, Oluwatosin Olasheu Omoola, Comfort Ojochenemi Usman, Ibe Michael Usman

“…Treatment with the plant extracts were associated with increased sperm count, motility, and viability, and improved histoarchitecture of the testes. …”
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Evaluation of in-vitro and in-silico antidiabetic potential, glucose metabolism, antioxidant, cytotoxicity and phytochemical content of Ipomoea bolusiana Schinz and Ipomoea crassip... by Garland Kgosi More, Nolitha Nkobole, Charmy Twala, Sechaba Machedi, Tebogo Amos Moswetsa, Ramakwala Christinah Chokwe

“…The extracts did not show cytotoxic effects in the treated cells. …”
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Complexed hyaluronic acid-based nanoparticles in cancer therapy and diagnosis: Research trends by natural language processing by Abd Kakhar Umar, Patanachai K. Limpikirati, Bachtiar Rivai, Ilham Ardiansah, Sriwidodo Sriwidodo, Jittima Amie Luckanagul

“…Based on our findings, conventional bibliometric tools fail to highlight relevant topics in this area, instead producing merely abstract and broad-meaning keywords. Extraction using Named Entity Recognition and topic search with Latent Dirichlet Allocation successfully revealed five representative topics with the ability to exclude irrelevant keywords. …”
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The Relationship between Gender, Severity of Disease, Treatment Type, and Employment Outcome in Patients with Inflammatory Bowel Disease in Israel by Timna Naftali, Adi Eindor-Abarbanel, Nahum Ruhimovich, Ariella Bar-Gil Shitrit, Fabiana Sklerovsky-Benjaminov, Fred Konikoff, Shay Matalon, Haim Shirin, Yael Milgrom, Tomer Ziv-Baran, Efrat Broide

“…The data was compared to that of the general Israeli population extracted from the website of the Central Bureau of Statistics. …”
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Culture-independent detection of Mycobacterium tuberculosis complex DNA using targeted next generation sequencing in African buffalo (Syncerus caffer) oronasal swabs in South Afric... by Sinegugu Kholeka Mhlophe, Charlene Clarke, Giovanni Ghielmetti, Giovanni Ghielmetti, Megan Matthews, Tanya Jane Kerr, Michele Ann Miller, Wynand Johan Goosen, Wynand Johan Goosen

“…However, these methods are not without their shortfalls, with a suboptimal ability to discern true positive results amidst certain non-tuberculous mycobacteria (NTM) interference. …”
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Scanning electron microscopy assessment of tubular penetration depth of root canal sealers combined with different obturation techniques by Cvjetićanin Milica, Ramić Bojana, Vukoje Karolina, Drobac Milan, Stojanac Igor, Petrović Ljubomir

“…Background/Aim. The ability to effectively and consistently penetrate dentinal tubules is considered a favorable factor for the evaluation of root canal sealers (RCSs). …”
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Machine learning applied to wearable fitness tracker data and the risk of hospitalizations and cardiovascular events by John Kundrick, Aditi Naniwadekar, Virginia Singla, Krishna Kancharla, Aditya Bhonsale, Andrew Voigt, Alaa Shalaby, N.A. Mark Estes, Sandeep K Jain, Samir Saba

“…Method and Results: Data from 14,157 participants in the All of Us study that included both Fitbit and electronic health record (EHR) information were censored on the date preceding events and analyzed using various ML classifiers for extracted feature data. Performance metrics included accuracy, area under the receiver operating characteristic (AUROC) curve, and F1 scores. …”
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Probabilistic daily runoff forecasting in high-altitude cold regions using a hybrid model combining DBO and transformer variants by Qiying Yu, Wenzhong Li, Yungang Bai, Zhenlin Lu, Yingying Xu, Chengshuai Liu, Lu Tian, Chen Shi, Biao Cao, Tianning Xie, Jianghui Zhang, Caihong Hu

“…In response, we propose a hybrid runoff prediction model that combines Dung Beetle Optimization (DBO)'s optimization capabilities, Temporal Convolutional Networks (TCN)’s proficiency in extracting local temporal features, and the Transformer’s ability to capture long-term dependencies. …”
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Classifying and Localizing Abnormalities in Brain MRI Using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder by Syed Muhammad Ahmed Hassan Shah, Asad Ullah, Jawaid Iqbal, Sami Bourouis, Syed Sajid Ullah, Saddam Hussain, Muhammad Qasim Khan, Yaser Ali Shah, Ghulam Mustafa

“…Adults who have brain tumors face a serious and potentially fatal challenge since the tumors rapidly growing malignant cells can seriously impair their physiological ability. In clinical practice, imaging techniques such as MRI, PET, and CT scans are widely used to determine the size, kind, and location of tumors. …”
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Estimation of physico-chemical properties of soil using machine learning by Patience Chizoba Mba, Opegbemi Matthias Busoye, John Temitope Ajayi, Judith Nkechinyere Njoku, Cosmas Ifeanyi Nwakanma, Senorpe Asem-Hiablie, Rammohan Mallipeddi, Tusan Park, Daniel Dooyum Uyeh

“…The models were assessed on their ability to predict soil properties while minimizing error rates. …”
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Regulatory challenges in conducting human subjects research in emergency settings: the National Trauma Research Action Plan (NTRAP) scoping review by Deborah M Stein, Eileen M Bulger, Michelle A Price, Adil H Haider, Cynthia Lizette Villarreal, Karen J Brasel, Todd W Costantini, Jeffrey A Bailey, Jonathan I Groner, Zara R Cooper, Juan Pablo Herrera-Escobar, Pamela J Bixby, Maxwell Braverman, James R Ficke, Nicole S Gibran, Ashley N Moreno, Alfonso Zenteno, Christine Saenz, Alexander Toppo, Carrie A Sims, Bellal A Joseph, Craig D Newgard

“…These challenges hamper the ability to investigate potentially life-saving research that aims to deliver pharmacotherapeutics, test medical devices, and develop technologies that may improve patient survival and recovery. …”
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Machine learning for discrimination of phase‐change chalcogenide glasses by Qundao Xu, Meng Xu, Siqi Tang, Shaojie Yuan, Ming Xu, Wei Zhang, Xian‐Bin Li, Zhongrui Wang, Xiangshui Miao, Chengliang Wang, Matthias Wuttig

“…The trained model accurately discerns the critical transition point between glass compositions suitable for use as ePCMs and those that are not, particularly for both GeTe–GeSe and Sb2Te3–Sb2Se3 materials, in line with experiments. Furthermore, by extracting the physical knowledge that the ML model has offered, we pinpoint three pivotal structural features of amorphous chalcogenides, that is, the bond angle, packing efficiency, and the length of the fourth bond, which provide a map for materials design with the ability to “predict” and “explain”. …”
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