10-year diagnosis-specific antibiotic prescribing trends among paediatric inpatients at two private-sector hospitals in central India: a prospective observational study by Cecilia Stålsby Lundborg, Megha Sharma, Sarah Van De Weyer

“…PDD* per 100 bed days, diagnosis-specific patterns and trends, adherence to the Access, Watch and Reserve (AWaRe) classification and prescribing guidelines with significant p value<0.05.Results Of 19 027, 17 458 inpatients aged less than 18 years stayed at least one night (NTH: 11 415 and TH: 6043). …”
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Implications of primary tumor site and fraction size on outcomes of palliative radiation for osseous metastases by Riley P. McDougall, Quoc-Anh Ho, Charles Hsu, Jared R. Robbins, Jared R. Robbins

“…Common palliative RT schemes were analyzed to determine treatment patterns and outcomes. Palliative outcomes, including median PRLSRT, RT completion, and mortality rates, were calculated. …”
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الوصل والهجر في كتاب "طوق الحمامة في الألفة والألاف" لابن حزم الأندلسي by شيماء إسماعيل محمد مرسي

“…The study aims to reflect on the aesthetics of his patterns of union and abandonment and to demonstrate the balance between theoretical and practical aspects, poetry and prose, and thought and feeling. …”
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Planning Target Volume and Nodal Status Predict Clinical Outcomes After Chemoradiation and Durvalumab in Stage III Non‐Small Cell Lung Cancer by Ori Aslan, Johnathan Arnon, Itamar Averbuch, Daniel Reinhorn, Hovav Nechushtan, Yakir Rottenberg, Philip Blumenfeld

“…Both variables were associated with early and distant recurrence patterns, and PTV ≥ 350 cm3 was associated with worse survival. …”
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Multiscale Feature Fusion for Salient Object Detection of Strip Steel Surface Defects by Li Zhang, Xirui Li, Yange Sun, Yan Feng, Huaping Guo

“…These results demonstrate that the proposed approach not only enhances detection accuracy but also significantly improves the adaptability of the model to various defect patterns. By addressing the challenges of complex backgrounds and noise interference, this study provides a practical solution for industrial defect detection.…”
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Antimicrobial Activity of Ceftazidime-Avibactam (CAZ-AVI) among the Carbapenemase-Producing Gram-negative Rods Isolated from Clinical Samples by Ravi Kumar Sharma1, Monica Monica1, Arindam Chakraborty1*

“…Additionally, we utilized the E-test to analyze the susceptibility patterns of CAZ-AVI. Results: Of the 258 Gram-negative isolates studied, 214 (83%) were ESBL producers. …”
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Sorghum-peanut intercropping under salt stress mediates rhizosphere microbial community shaping in sorghum by affecting soil sugar metabolism pathways by Xia Shao, Chunmei Yang, Yuxuan Chen, Chang Liu, Chunjuan Liu, Xiaolong Shi, Yufei Zhou

“…Metabolome analyses revealed significant differences in microbial community structure across diverse soil conditions and cropping patterns. At phylum level, Proteobacteria, Gemmatimonadetes, and Verrucomicrobia predominated, with their relative abundance experiencing substantial changes under salt stress. …”
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Non-Intrusive Monitoring and Detection of Mobility Loss in Older Adults Using Binary Sensors by Ioan Susnea, Emilia Pecheanu, Adina Cocu, Adrian Istrate, Catalin Anghel, Paul Iacobescu

“…After data preprocessing—including filtering irrelevant sensor events and aggregation into behaviorally meaningful places (BMPs)—a time series forecasting model (Prophet) was used to predict normal mobility patterns. A fuzzy inference module analyzed deviations between observed and predicted sensor data to determine the probability of mobility anomalies. (3) Results: The system effectively identified periods of prolonged inactivity indicative of potential falls or other mobility disruptions. …”
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Navigating cognitive boundaries: the impact of CognifyNet AI-powered educational analytics on student improvement by Mrim M. Alnfiai, Faiz Abdullah Alotaibi, Mona Mohammed Alnahari, Nouf Abdullah Alsudairy, Asma Ibrahim Alharbi, Saad Alzahrani

“…This research introduces CognifyNet, a novel hybrid AI-driven educational analytics model that combines ensemble learning principles with deep neural network architectures to analyse student behaviours, cognitive patterns, and engagement levels through an innovative two-stage fusion mechanism. …”
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Efficient Anomaly Detection for Edge Clouds: Mitigating Data and Resource Constraints by Javad Forough, Hamed Haddadi, Monowar Bhuyan, Erik Elmroth

“…This enables the model to benefit from the learned features and patterns from related tasks such as network intrusion detection, resulting in improved detection accuracy. …”
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Quantitative prediction of water quality in Dongjiang Lake watershed based on LUCC by Yang Song, Xiaoming Li, Ying Zheng, Gui Zhang

“…Based on classification results, a Cellular Automata-Markov chain model (CA-Markov) was constructed to simulate and predict the spatio-temporal patterns of land use, incorporating driving factors such as proximity to water systems, roads, elevation, and slope. …”
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The Spatiotemporal Characteristics and Driving Factors of Soil Degradation in the Black Soil Region of Northeast China by Zixuan Wu, Jingyi Jiang, Wencai Dong, Song Cui

“…However, prolonged agricultural practices have led to increasingly severe soil degradation, and the mechanisms and driving factors behind the degradation of soil quality remain unclear. …”
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Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer by Mohd Herwan Sulaiman, Zuriani Mustaffa

“…Despite advances in deep learning, existing forecasting models often struggle with the complex temporal dependencies and non-linear patterns in chiller operation data. This paper presents an innovative approach using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model optimized by the Barnacles Mating Optimizer (BMO). …”
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Bounce back from adversity: a narrative review and perspective on the formation and consequences of athlete resilience by Zhengyang Mei, Chenyi Cai, Tingfeng Wang, Chifong Lam, Ranran He, Shi Luo

“…Furthermore, the consequences of athlete resilience are closely associated with various psychological states and behavioral patterns athletes experience during training and competition, the most common of which include perceived stress, competition anxiety, and athlete burnout, and its mechanism can be explained by the meta-model of stress, emotions and performance. …”
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Study on anti-reflection of deep soft and high gas coal seam floor by deep hole controlled blasting by Jian-yu Zhang, Yi-xin Gong

“…A bidirectional loading gas–solid coupling blasting simulation system was established in the laboratory, enabling multi-faceted analysis of experimental models through macroscopic crack patterns, internal damage mechanisms, and strain data of coal and rock masses. …”
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Testosterone concentrations in juvenile male polar bears (Ursus maritimus) by Jessye Wojtusik, Megan Philpott, Elizabeth Donelan, Monica A. Stoops, Terri L. Roth, Erin Curry

“…The ex situ polar bear population in the United States is not sustainable. Current management practices include pairing mates at five to six years of age, but there is evidence that wild bears have sired cubs as early as two years old. …”
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Integration of Artificial Neural Network Regression and Principal Component Analysis for Indoor Visible Light Positioning by Negasa Berhanu Fite, Getachew Mamo Wegari, Heidi Steendam

“…In this study, user movement is simulated using a constructed dataset with systematically varied receiver positions, reflecting realistic motion patterns rather than real-time movement. While the experimental setup considers a fixed obstacle scenario, the training and testing datasets incorporate position variations to emulate user displacement. …”
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Mo.Se.: Mosaic image segmentation based on deep cascading learning by Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni

“…Mosaic is an ancient type of art used to create decorative images or patterns combining small components. A digital version of a mosaic can be useful for archaeologists, scholars and restorers who are interested in studying, comparing and preserving mosaics. …”
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Plasma cytokine and chemokine levels during natural outbreaks of bovine respiratory disease in young bulls on feedlots by Maud Rouault, Sébastien Assié, Blandine Gausserès, François Meurens, Gilles Foucras

“…Cluster analysis revealed three subgroups with distinct cytokine patterns and health outcomes, in association with preconditioning variables, highlighting the critical role of these interventions in shaping the immune response during BRD outbreaks. …”
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Objective approach to diagnosing attention deficit hyperactivity disorder by using pixel subtraction and machine learning classification of outpatient consultation videos by Yi-Hung Chiu, Ying-Han Lee, San-Yuan Wang, Chen-Sen Ouyang, Rong-Ching Wu, Rei-Cheng Yang, Lung-Chang Lin

“…ADHD is typically characterized by persistent patterns of inattention or hyperactivity–impulsivity, and it is diagnosed on the basis of the criteria outlined in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, through subjective observations and information provided by parents and teachers. …”
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