Implementation status of European guidelines on trauma management of prehospital bleeding control: a national survey in Austria by Julia Doescher, Sibylle Langenecker

“…Results Despite high awareness of the Bleeding Guidelines (81%), only 41% of new recommendations were implemented. …”
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Advancements in Predictive Microbiology: Integrating New Technologies for Efficient Food Safety Models by Oluseyi Rotimi Taiwo, Helen Onyeaka, Elijah K. Oladipo, Julius Kola Oloke, Deborah C. Chukwugozie

“…This has facilitated the development of devices based on robotics, the Internet of Things, and time-temperature indicators that are being incorporated into food processing both domestically and industrially globally. …”
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Psoriatic arthritis screening: A systematic literature review and experts' recommendations. by Ana Urruticoechea-Arana, Diego Benavent, Fernando León, Raquel Almodovar, Isabel Belinchón, Pablo de la Cueva, Cristina Fernández-Carballido, Estíbaliz Loza, Jordi Gratacós, Cribado Working Group

“…<h4>Objective</h4>To analyze the performance of psoriatic arthritis (PsA) screening tools, examine their implementation in daily practice, and reach a consensus about the best screening tool for implementation in daily practice in different medical settings.…”
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Application of machine learning techniques for churn prediction in the telecom business by Raji Krishna, D. Jayanthi, D.S. Shylu Sam, K. Kavitha, Naveen Kumar Maurya, T. Benil

“…The telecom business generates a significant amount of data on a daily basis due to its massive client base. …”
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Remote Sensing Techniques for Assessing Snow Avalanche Formation Factors and Building Hazard Monitoring Systems by Natalya Denissova, Serik Nurakynov, Olga Petrova, Daniker Chepashev, Gulzhan Daumova, Alena Yelisseyeva

“…The analysis involved screening relevant studies on remote sensing, avalanche dynamics, and data processing techniques. Key data sources included satellite platforms such as Sentinel-1, Sentinel-2, TerraSAR-X, and Landsat-8, combined with machine learning, data fusion, and change detection algorithms to process and interpret the data. …”
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Out of randomness: How evolution benefits from modularity by Chunxiuzi Liu, Shaohua Tang, Jingxi Liu, Jiashuo Ye, Lanxin Ma, Bingning Liu, Lu Peng, Jiaxin Dong, Linjie Que, Binbin Hong, Yu Liu

“…This improvement varies, showing biases toward more intricate solutions, likely due to the crossover process in GAs that facilitates the recombination of smaller modules into larger, more complex ones. …”
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A Learning Emotion Recognition Model Based on Feature Fusion of Photoplethysmography and Video Signal by Xiaoliang Zhu, Zili He, Chuanyong Wang, Zhicheng Dai, Liang Zhao

“…The ability to recognize learning emotions facilitates the timely detection of students’ difficulties during the learning process, supports teachers in modifying instructional strategies, and allows for personalized student assistance. …”
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Structural and compensatory trends in spinopelvic parameters of lumbosacral transitional vertebrae: A retrospective cohort analysis by Nikita Das, Ravi Dhamija, Orlando Martinez, John Francis, Rohit Mauria, Collin M. Labak, Eric Z. Herring, Gabriel Smith

“…Additionally, the lumbosacral transition may not be located at L5/S1 in these patients. Development of algorithm-based technologies that identify LSTV radiographically and measure corresponding spinopelvic parameters using standardized protocols may facilitate improvements in care for this patient population.…”
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Immunological biomarkers and gene signatures predictive of radiotherapy resistance in non-small cell lung cancer by Jie Lv, Chun-yang Yu, Yao-zu Xiong, Ting-ting Dai, Xiao-chu Hu, Peng Pan, Shun Yue, Chang-hua Yu

“…DiscussionThe study suggests that targeting pathways regulating macrophage polarization or enhancing naive B cell activation could play a crucial role in addressing radiotherapy resistance. …”
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Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach by Veljko Uskoković, Milica Maričić, Aleksandra Dacić-Pilčević, Veljko Jeremić

“…Additionally, AI plays a crucial role in promoting energy-efficient behaviour in smart accommodations, while algorithmic oversight is increasingly integrated into digital labour platforms to balance automation with human dignity. …”
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Efficiently Learning an Encoder That Classifies Token Replacements and Masked Permuted Network-Based BIGRU Attention Classifier for Enhancing Sentiment Classification of Scientific... by Muhammad Inaam Ul Haq, Khalid Mahmood, Qianmu Li, Ashok Kumar Das, Sachin Shetty, Majid Hussain

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Practical Recommendations for Artificial Intelligence and Machine Learning in Antimicrobial Stewardship for Africa by Tafadzwa Dzinamarira, Elliot Mbunge, Claire Steiner, Enos Moyo, Adewale Akinjeji, Kaunda Yamba, Loveday Mwila, Claude Mambo Muvunyi

“…The deployment of AI‐driven solutions presents unprecedented opportunities for optimizing treatment regimens, predicting resistance patterns, and improving clinical workflows. …”
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An ensemble machine learning framework with explainable artificial intelligence for predicting haemoglobin anaemia considering haematological markers by Dhruva Darshan B S, Punit Sharma, Krishnaraj Chadaga, Niranjana Sampathila, G. Muralidhar Bairy, Sushma Belurkar, Srikanth Prabhu, Swathi K S

“…Hence, we examine the use of ML approaches to predict haemoglobin-like anaemia in this research article. Based on a heterogeneous dataset of blood markars, we investigate the performance of many machine learning techniques such as Logistic Regression, CatBoost, XgBoost Decision Trees, KNN and others. …”
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GIS Analysis Model Integration and Service Composition Prospects by L. Ding, P. Cai, W. Huang, H. Zhang, F. Ding, W. Zhao, D. Tang, Z. Wang

“…By bridging traditional GIS tools with intelligent service ecosystems, this evolution aims to drive digital transformation, enhance cross-sector competitiveness, and unlock new potentials in spatial decision-making.…”
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Grassland management and phenology affect trait retrieval accuracy from remote sensing observations by Maksim Iakunin, Franziska Taubert, Reimund Goss, Severin Sasso, Hannes Feilhauer, Daniel Doktor

“…The model was applied to intensively and extensively managed grasslands using field-collected hyperspectral data. Results show that while RTM inversion effectively predicts traits such as leaf area index (LAI) and pigment concentrations in homogeneous, intensively managed systems, its accuracy diminishes in diverse, extensively managed grasslands, particularly for traits like leaf mass per area (LMA) and pigment content. …”
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Fuzzy Controlled MPPT to Grid Connected PV Systems by Sukumar G. Durga, Prasad R. Ramanjan, Vardhan R. Harsha, Pakkiraiah B., Krishna Ch. Leela

“…Simulation outcomes demonstrate that the FLC- based MPPT system outperforms the conventional Perturb and Observe (P&O) MPPT method. …”
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Evaluation of machine learning methods for prediction of heart failure mortality and readmission: meta-analysis by Hamed Hajishah, Danial Kazemi, Ehsan Safaee, Mohammad Javad Amini, Maral Peisepar, Mohammad Mahdi Tanhapour, Arian Tavasol

“…The analysis revealed a significant risk of bias, primarily due to reliance on retrospective data and inadequate sample size justification. …”
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Prediction of outcomes following intravenous thrombolysis in patients with acute ischemic stroke using serum UCH-L1, S100β, and NSE: a multicenter prospective cohort study employin... by Ming-Ya Luo, Yang Qu, Peng Zhang, Reziya Abuduxukuer, Li-Juan Wang, Li-Chong Yang, Zhi-Guo Li, Xiao-Dong Liu, Ce Han, Dan Li, Wei-Jia Wang, Dian-Ping Lv, Ming Liu, Jian Gao, Jing Xu, Yongfei Jiang, Hai-Nan Chen, Fu-Jin Li, Li-Ming Sun, Qi-Dong Sun, Yingbin Qi, Si-Yin Sun, Yu Zhang, Zhen-Ni Guo, Yi Yang

“…Thirty-three variables, including demographics, clinical data, and biomarkers (UCH-L1, S100β, NSE), were analyzed. …”
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Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission by Rafael Ruiz de San Martín, Catalina Morales-Hernández, Carmen Barberá, Carlos Martínez-Cortés, Antonio Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez-Sánchez, Isabel Morales-Moreno, Juan José Hernández-Morante

“…There were statistically significant differences regarding age and days of stay (<i>p</i> < 0.001 in both cases). …”
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Peri- and postoperative complications of laparoscopic tubal ligation versus salpingectomy for permanent contraception: An ACS-NSQIP analysis by Vaishnavi J. Patel, Devki Patel, Kimberly Toumazos, Young Son, Komal Sharma, Virgil Kevin DeMario, Shelby Boock, Grace Lara, Alexandra McQuillen, Brianna Clark

“…There were significant differences between the salpingectomy and tubal ligation groups with respect to several demographic characteristics, including age, BMI, minority status, and variations in past medical history. …”
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