Concomitant body-wide trauma patterns in patients with head and neck injuries: a comparison based on the trauma register DGU® by the German trauma society and the dortmund maxillof... by Ákos Bicsák, Fatma Topcuoglu, Stefan Hassfeld, Rolf Lefering, Lars Bonitz, Jens-Peter Stahl

“…Conclusions Patients with HNI tend to have slightly different injury pattern in the whole body than non-HNI patients. Head and neck injuries in different locations show different patterns of concomitant injuries. …”
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Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals by Juan José Molina-Campoverde, Juan Zurita-Jara, Paúl Molina-Campoverde

“…After a thorough evaluation, the KNN (Fine KNN) model proved to be the most effective, achieving an accuracy of 99.7%, an error rate of 0.3%, a precision of 99.8%, a recall of 99.7%, and an F1-score of 99.8%, outperforming other models in terms of accuracy, robustness, and balance between metrics. …”
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Feeding Preferences, Growth Patterns and Reproductive Characteristics of Fall Armyworm (<i>Spodoptera frugiperda</i>) Indicate the Potential of <i>Ficus</i> Tree as New Host Plant by Changqi Chen, Yan Wang, Yana Zhou, Zhu Liu, Zongbo Li, Yuan Zhang

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Dorsal hyperintensity and iron deposition patterns in the substantia nigra of Parkinson’s disease, idiopathic REM sleep behavior disorder, and Parkinson-plus syndromes at 7T MRI: a... by Dongning Su, Zhijin Zhang, Zhe Zhang, Rui Yan, Wanlin Zhu, Ning Wei, Yue Suo, Xinyao Liu, Ying Jiang, Lingyan Ma, Huiqing Zhao, Zhan Wang, Xuemei Wang, Huizi Ma, Xin Liu, Chaodong Wang, Zhirong Wan, Fangfei Li, Yuan Li, Joyce S. T. Lam, Junhong Zhou, Ning Zhang, Tao Wu, Jing Jing, Tao Feng

“…R2* mapping and principal component analysis were performed to assess nigral iron deposition patterns. Results Bilateral DNH detection rates in the development cohort were 22.6% for early-stage PD, 3.7% for advanced PD, 93.5% for iRBD, 5.7% for MSA-parkinsonian type, 78.8% for MSA-cerebellar type, 11.8% for progressive supranuclear palsy (PSP), and 100% for HC, with similar rates in the validation cohort. …”
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Smartphone-Based Sensing System for Identifying Artificially Marbled Beef Using Texture and Color Analysis to Enhance Food Safety by Hong-Dar Lin, Yi-Ting Hsieh, Chou-Hsien Lin

“…Experimental results reveal that the system achieves a recall rate of 95.00% for fat-injected beef, a misjudgment rate of 1.67% for non-fat-injected beef, a correct classification rate (CR) of 93.89%, and an F1-score of 95.80%, demonstrating its potential as a human-centered healthcare tool for ensuring food safety and transparency.…”
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A Hybrid Learning Framework for Enhancing Bridge Damage Prediction by Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour

“…The proposed model demonstrates exceptional performance, achieving accuracy rates ranging from 98.27% to 100%, with error rates between 1.73% and 0% across multiple bridge damage datasets. …”
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Study of the association of distribution pattern of genotypes of C/A polymorphism of COL1A1_1 collagen gene (RS1107946) with indicators of external breathing in children with bronc... by Т. Ye. Shumna, S. M. Nedelska, O. S. Fedosieieva

“…The study of the distribution patterns of allelic genes and genotypes of the C/A polymorphism of the collagen COL1A1_1 gene (rs1107946) in children with bronchial asthma, taking into account the indicators of external respiration function. …”
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A hybrid ultra-short-term photovoltaic power prediction framework integrating ant colony optimization for clustering with Bi-GRU by Xinyi Liu, Zitao Wang, Yang Wang, Shanke Liu, Lijun Yu

“…This hybrid framework employs an improved Ant Colony Optimization algorithm fused with K-Means pre-clustering (K-MACO) to perform unsupervised learning on samples within the physical feature space of radiation patterns, humidity, and temperature dynamics, classifying weather scenarios into sunny, cloudy, and rainy types. …”
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Numerical Investigation and Performance Evaluation of Boiling Slug Flow Regime of Water Vapor in Vertical Tubes by F. Sharifi, M. Hassani, R. Kouhikamali

“…To do so, heat and mass transfer during the flow motion is considered by the rate of mass and energy exchange between the phases and is added to governing equations. …”
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Admission Outcome and Antimicrobial Resistance Pattern of Bacterial Isolates among Neonates with Suspected Sepsis in Neonatal Intensive Care Unit at Dessie Comprehensive Specialize... by Genet Molla Fenta, Hiwot Ketema Woldemariam, Yeshi Metaferia, Abdurahaman Seid, Daniel Gebretsadik

“…Conclusion. The rate of bacterial growth was found to be high; E. coli and S. aureus were the predominant organisms. …”
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Improving Voice Spoofing Detection Through Extensive Analysis of Multicepstral Feature Reduction by Leonardo Mendes de Souza, Rodrigo Capobianco Guido, Rodrigo Colnago Contreras, Monique Simplicio Viana, Marcelo Adriano dos Santos Bongarti

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Risk Factors Promoting Early Cardiovascular Structure Disorders in Patients with Primary Hypothyroidism by A. V. Nikolaeva, L. T. Pimenov, V. G. Sufiyanov, M. V. Dudarev

“…Left ventricle remodeling, morphologic functional status of blood vessel wall and decrease of glomerular filtration rate are basically determined by such modified and non-modified factors as body mass index, age, duration of hypothyroidism and thyroid stimulating hormone level.…”
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Movement and Dispersion Parameters Characterizing the Group Behavior of <i>Drosophila melanogaster</i> in Micro-Areas of an Observation Arena by Nam Jung, Chunlei Xia, Yong-Hyeok Jang, Hye-Won Kim, Yun Doo Chung, Tae-Soo Chon

“…For Canton-S, temporal cooccurring patterns among different parameters were observed as time progressed, with two primary patterns identified in the resource supply areas: single peak and double peaks. …”
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Prevalence and Antimicrobial Susceptibility of Multi-Drug Resistant Uropathogens in a Tertiary Hospital in Nepal: A One-Year Audit by Manish Man Pradhan, Sangita Sharma, Sujeet Poudyal, Diwas Gnyawali, Suman Adhikari, Suman Chapagain, Bhojraj Luitel, Hari Prasad Kattel, Pawan Raj Chalise

“…Data were collected from the Electronic health records of the Microbiology department and analyzed using Microsoft Excel 16.0.0 and SPSS 30.0.0 software to determine the urine culture positivity rate, the prevalence of multidrug-resistant uropathogens, and their antimicrobial susceptibility patterns with a specific focus on resistance to commonly prescribed antibiotics. …”
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Do gender differences matter in Acute Heart Failure? Insights from Indian College of Cardiology – National Heart Failure Registry, India by P.B. Jayagopal, C.N. Manjunath, A. Jabir, Sridhar L. Sastry, Veena Nanjappa, P.R. Vaidyanathan, Johny Joseph, Soma Sekhar Ghanta, P. Manokar, Nitin Kabra, Dharmendra Jain, Vinod Sharma, Trinath Kumar Mishra, R. Badri Narayanan, Narendra Jathappa, Gautam Rege, Sunil Modi, S.N. Routray, T.R. Raghu, Rabin Chakraborty, Dayasagar Rao, Shantanu Sengupta, K.S. Ravindranath, B.C. Srinivas, V.K. Chopra

“…Mortality rate Gender-based comparisons were tested at a 5 % level of significance. …”
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Mapping hydrogen demand for heavy-duty vehicles: a spatial disaggregation approach by Warsini Handayani, Xuan Zhu, Fang Lee Cooke

“…By integrating spatial datasets with economic factors, market penetration rates, and technical specifications of hydrogen fuel cell vehicles, the approach disaggregates the projected demand into specific demand centres, allowing for the mapping of regional hydrogen demand patterns and the identification of key centres of hydrogen demand based on heavy-duty truck traffic flow projections under different scenarios. …”
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Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks by Kenan Honore Robacky Mbongo, Kanwal Ahmed, Orken Mamyrbayev, Guanghui Wang, Fang Zuo, Ainur Akhmediyarova, Nurzhan Mukazhanov, Assem Ayapbergenova

“…This study proposes a hybrid IDS model combining one-dimensional Convolutional Neural Networks (Conv1Ds), Gated Recurrent Units (GRUs), and Self-Attention mechanisms. …”
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A Linear Differentiation Scheme for Camouflaged Target Detection using Convolution Neural Networks by Jagadesh Sambbantham, Gomathy Balasubramanian, Rajarathnam, Mohit Tiwari

“…The differentiated region is trained for its positive rate in identifying the region around the target. …”
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Real-world usage pattern, effectiveness and safety of oral tramadol/dexketoprofen trometamol fixed-dose combination in moderate-to-severe acute pain in Asia: a prospective, multice... by Ankur Gupta, Suwimon Tangwiwat, Cesar Dimayuga, Kok Yuen Ho, Bibek Gyanwali, Edgar Michael Eufemio, Edwin Bernardo, Gopinathan Raju, Keen Wai Chong, Kritsadakorn Waithayayothin, Leonardo Ona, Marc Anthony L Castro, Passakorn Sawaddiruk, Roehl C Salvador, Sharifah Ahmad Roohi, Vajara Wilairatana, Zhi Hao Oon, Dinesh Nagrale

“…There was a significant reduction in pain intensity throughout the study and 65% of patients achieved ≥30% pain reduction from baseline at 8 hours post the first dose of TRAM/DKP FDC on day 1. 95.69% of patients were satisfied with the treatment (rated good, very good and excellent on the PGE scale). …”
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Unsupervised post-training learning in spiking neural networks by Reyhaneh Naderi, Arash Rezaei, Mahmood Amiri, Herbert Peremans

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