Intracranial pressure monitoring in patients with geriatric trauma may not improve outcome but is associated with increases in resource utilization by Peter Rhee, Chirag Gandhi, Kartik Prabhakaran, Joshua Klein, Bardiya Zangbar, Aryan Rafieezadeh, Ilya Shnaydman, Matthew Bronstein

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Business Development Strategy of Beverage Powder Company by M. Zaenal Mahasin, Hartoyo, Rokhani Hasbullah

“…Findings/Result: The results of the analysis found that Frezzo had weaknesses in the retail sales aspect, lack of promotion and marketing network. …”
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Influence of concurrent oral calcium carbonate supplementation on steady-state pharmacokinetics of once daily oral raltegravir in persons with HIV: a protocol for a prospective ope... by Salmaan Kanji, Nancy Tremblay, D William Cameron, Bashour Yazji, Luana Leticia Teixeira Nunes Porto, Mary-Anne Doyle, Guijin Zhang

“…This study aims to assess the effect of daily calcium carbonate antacid as TUMS Ultra Strength (US) administration in lower doses, as currently used for oral calcium supplementation, on the steady-state pharmacokinetics (PKs) of once-daily oral raltegravir.Methods and analysis This is an open-label, three-treatment series in three periods in a single group, fixed-sequence PK study in 12 healthy adult volunteers with HIV on ART. …”
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Behavioral tests for the assessment of social hierarchy in mice by Hao Zheng, Dantong Chen, Zilong Zhong, Ziyi Li, Meng Yuan, Zhenkun Zhang, Xiaoping Zhou, Guohui Zhu, Hongwei Sun, Lin Sun

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Competence model scheming of the graduate as an assessment tool for the quality of education by E. N. Shaforostova, A. A. Valova

“…To determine the necessary interdisciplinary relationships, we use a weighted semantic network, for the construction of which we form an adjacency matrix. …”
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Environmental footprint of GenAI – Changing technological future or planet climate? by Vaclav Moravec, Beata Gavurova, Viliam Kovac

“…To process the data set, a logistic regression analysis, chi-squared test, Akaike information criterion, and Bayesian information criterion are employed. …”
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Congenital Heart Diseases: Risk Factors and Ultrasound Diagnostic Potential at the First Screening by A. V. Pomortsev, M. N. Karakhalis, S. A. Matulevich, G. A. Daschyan, A. A. Khalafyan, A.  N. Sencha

“…We retrospectively analyzed 2272 ultrasound scans and first screening markers: nuchal translucency (NT) thickness and ductus venosus pulsatility index (DVPI).Results: We identified possible risk factors for fetal CHD: body mass index, P = .000; age of menarche, P = .037; chronic tonsillitis, Р = .046; cervical erosion, Р = .045; vulvovaginal candidiasis, Р = .005; vaginitis, Р = .027; cervicitis, Р = .027; chronic hepatitis B and C viruses, Р = .005; respiratory tract infection with fever during the current pregnancy, Р = .012. We built 500 networks with the highest performance for a predictive model and found that the model’s predictors did not fully represent the risk factors for CHD. …”
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Social participation challenges and facilitators among Chinese stroke survivors: a qualitative descriptive study by Xiaojuan Wan, Dorothy Ngo Sheung Chan, Janita Pak Chun Chau, Yu Zhang, Zhi’e Gu, Limei Xu

“…Attaining an in-depth understanding of participation challenges and facilitators is necessary to identify rehabilitation priorities. However, current evidence in the Chinese context is insufficient as cultural norms, expectations, and behaviors may differ across countries. …”
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Challenges to generating political prioritization for adolescent sexual and reproductive health in Kenya: A qualitative study. by Maricianah Atieno Onono, Claire D Brindis, Justin S White, Eric Goosby, Dan Odhiambo Okoro, Elizabeth Anne Bukusi, George W Rutherford

“…We undertook semi-structured interviews with 14 members of adolescent SRH networks between February and April 2019 at the national level and conducted thematic analysis of the interviews.…”
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VR-based gamma sensory stimulation: a pilot feasibility study by Carolina Reis, Hamed Azizollahi, Gabriel Headley, Sergi Navarro, Simon Hanslmayr, Andrew Clouter, Theodore P Zanto, Raphael Certain

“…Abstract Alzheimer’s disease (AD) presents a critical global health challenge, with current therapies offering limited efficacy and safety in halting disease progression. …”
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Polyamine-Mediated Growth Regulation in Microalgae: Integrating Redox Balance and Amino Acids Pathway into Metabolic Engineering by Leandro Luis Lavandosque, Flavia Vischi Winck

“…Further association of the H₂O₂ production with polyamines metabolism reveals novel insights into microalgae growth, combining the role of the H₂O₂/NO rate regulation with the appropriate balance of the mitochondria and chloroplast functionality. System-level analysis of cell growth metabolism would, therefore, be beneficial to the understanding of the regulatory networks governing this phenotype, fostering metabolic engineering strategies to enhance growth, stress resilience, and lipid accumulation in microalgae. …”
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Integrating production planning in collaborative manufacturing: Systematic literature review, and future research direction by Muhammad Shodiq Abdul Khannan, Muhammad Kusumawan Herliansyah, Andi Sudiarso

“…Design/methodology/approach: This analysis located all currently available studies on collaborative manufacturing and production planning through a thorough examination of the literature. …”
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Exploring the monthly contribution of drivers on European summer wildfires with explainable artificial intelligence (XAI) by Hanyu Li, Stenka Vulova, Alby Duarte Rocha, Birgit Kleinschmit

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Assessing cancer knowledge among pharmacy students in Jordan: Bridging the gap between theory and practice. by Ali Hmedat, Haneen Amawi, Ghaith Al-Taani

“…The questionnaire was distributed electronically through student networks and in collaboration with pharmacy schools across Jordan. …”
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The Main Directions of Improving Higher Education in the Republic of Uzbekistan in the Context of Digital Transformation of the Economy by S. S. Sadykov

“…When writing the paper, methods of analysis, synthesis, special methods of working with computer networks and computer databases were used. …”
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Integrated metabolomics and metagenomics reveal plant-microbe interactions driving aroma differentiation in flue-cured tobacco leaves by Yifan Jia, Yifan Jia, Jianwei Wang, Xiaojie Lin, Xiaojie Lin, Taibo Liang, Huaxin Dai, Baojian Wu, Mengmeng Yang, Yanling Zhang, Ruifang Li, Ruifang Li

“…Current research on tobacco aroma predominantly focuses on single-omics approaches. …”
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Hybrid closed-loop systems for managing blood glucose levels in type 1 diabetes: a systematic review and economic modelling by Asra Asgharzadeh, Mubarak Patel, Martin Connock, Sara Damery, Iman Ghosh, Mary Jordan, Karoline Freeman, Anna Brown, Rachel Court, Sharin Baldwin, Fatai Ogunlayi, Chris Stinton, Ewen Cummins, Lena Al-Khudairy

“…The EAG base case applies the EAG RCT network meta-analysis estimate of −0.29% HbA1c for HCL relative to CSII + CGM. …”
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Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

“…Subsequently, these features were tested with eight well-known classifiers, comprising Decision tree, Discriminant analysis, Naive Bayes, Support vector machine, k-nearest neighbor, Ensemble learning, Neural networks, and Kernel approximation.ResultsFor subject-dependent analysis, the maximum accuracy of 59.17% was obtained using the EEG features that were selected the most (including (i) energy and variance of five frequency bands in frequency-domain feature set, (ii) all feature types in time-domain, time-frequency domain, and nonlinear domain feature sets) and all EEG channels by the Support vector machine algorithm. …”
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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

“…By exploring the application of machine learning (ML) and deep learning (DL) techniques, such as random forests (RFs), convolutional neural networks (CNNs), and artificial neural networks (ANNs), this review highlights AI’s ability to analyze complex datasets, detect patterns, and generate predictive insights that enhance injury prevention strategies. …”
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Harnessing Facebook to Investigate Real-World Mentions of Adverse Events of Glucagon-Like Peptide-1 Receptor Agonist (GLP-1 RA) Medications: Observational Study of Facebook Posts F... by Amrutha S Alibilli, Vidur Jain, Heran Mane, Xiaohe Yue, Alexandria Ratzki-Leewing, Junaid S Merchant, Shaniece Criss, Quynh C Nguyen, Rozalina G McCoy, Thu T Nguyen

“…Furthermore, an integrated node network analysis revealed 3 distinct GLP-1 RA adverse events–mentioned clusters: cluster 1 (purple) contained allergies, anxiety, depression, chronic obstructive pulmonary disease, fatigue, fever, hypertension, indigestion, insomnia, gastroesophageal reflux disease, hives, swelling, restlessness, and seizures. …”
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