Dysfunctional immunity in the comorbidity of vitamin A deficiency and tuberculosis identifies therapeutic potential of vitamin A supplementation by Dr. Faye Lanni, Revanth Krishna, David Forrest Ackart, Victoria Mitcham, Sarah K Cooper, Connor King, Hadley Gary, Dr. Chuangqi Wang, Dr Brendan Podell

“…Results: Vitamin A deficient guinea pigs develop granuloma pathology devoid of necrosis, the hallmark feature of this model species. …”
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Addressing the Сompetence of Experts and Specialists in the Light of Provisions of ISO/IEC 17025:2017 and International Experience in Applying Specialized Knowledge by E. V. Chesnokova, R. S. DuVal

“…The various formulations of the term “competence” contain one unchanging feature – the obligatory verification of the level of knowledge and skills. …”
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Scientific Aspects of Identification Criteria for Fruit Distillates by Elena V. Dubinina, Ludmila N. Krikunova, Violetta A. Peschanskaya, Marina V. Trishkaneva

“…The research objective was to develop scientifically based identification criteria for fruit distillates. …”
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Mendelian Randomization Analysis Reveal the Role of Circulating Inflammatory Proteins in Mediating Functional Brain Networks and Peripheral Neuropathic Pain Effects by Wen‐Hui Liu, Hui‐Min Hu, Chen Li, Qing Shi, Yi‐Fan Li, Peng Mao, Bi‐Fa Fan

“…Methods: The resting‐state functional magnetic imaging phenotype is defined as a stable feature that quantifies the pattern of functional connectivity (i.e., synchronized activity) between different regions of the brain in the resting state of an individual. …”
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Heavy Metal Accumulation in Dominant Green Algae Living in a Habitat Under the Influence of Cu Mine Discharge Water by Merve Sasmaz Kislioglu, Erdal Obek, Nevin Konakci, Ahmet Sasmaz

“…Algae absorb nutrients such as nitrogen (N) and phosphorus (P), as well as dissolved metal ions from polluted waters, and accumulate them in their tissues, thus contributing to the decontamination of water. This feature enables them to be used both as bioindicators of water pollution and in bioremediation applications aimed at the remediation of these waters. …”
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Machine learning for predicting all-cause mortality of metabolic dysfunction-associated fatty liver disease: a longitudinal study based on NHANES by Xueni Wang, Huihui Chen, Luqiao Wang, Wenguang Sun

“…The data (demographic, behavioral factors and laboratory indicators) were utilized to construct machine learning models (Coxnet, RSF, GBS) after feature selection. Time-dependent AUC, time-dependent brier and C-index were then evaluated the performance of models. …”
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Design of a Wave-Shaped Towing Cable for Stable, Low-Drag Acoustic Monitoring in Wave Glider Systems by Tian Yingyuan, Chen Yaxun, Qi Yang, Lv Yunfei, Li Weijia

“…A novel acoustic towing system featuring a wave-shaped cable, with strategically distributed float-sinker pairs, is presented here. …”
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Using the excitation/inhibition ratio to optimize the classification of autism and schizophrenia by Lavinia Carmen Uscătescu, Christopher J. Hyatt, Jack Dunn, Martin Kronbichler, Vince Calhoun, Silvia Corbera, Kevin Pelphrey, Brian Pittman, Godfrey Pearlson, Michal Assaf

“…Abstract The excitation/inhibition (E/I) ratio has been shown to be imbalanced in individuals diagnosed with autism (AT) or schizophrenia (SZ), relative to neurotypically developed controls (TD). However, the degree of E/I imbalance overlap between SZ and AT has not been extensively compared. …”
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Towards full integration of explainable artificial intelligence in colon capsule endoscopy’s pathway by Esmaeil S. Nadimi, Jan-Matthias Braun, Benedicte Schelde-Olesen, Smith Khare, Vinay C. Gogineni, Victoria Blanes-Vidal, Gunnar Baatrup

“…The characterisation DNN trained on an unaugmented database of 317 images featuring neoplastic polyps and 162 images of non-neoplastic polyps reached a sensitivity of $$84.3\%$$ and a specificity of $$81.5\%$$ in classifying polyps. …”
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Molecular dynamics-based explanation of the reinforcement geometry effects on CNT/graphene-reinforced Al0.3CoCrFeNi high-entropy alloys by Subrata Barman, Kritesh Kumar Gupta, Sudip Dey

“…In this study, a series of atomistic models of CNT/graphene-reinforced high-entropy alloy (HEA) configurations (featuring progressively increased surface area of CNT/graphene reinforcements) were developed and mechanically characterized. …”
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Interpretable machine learning model to predict the acute occurrence of delirium in elderly patients in the intensive care units: a retrospective cohort study by Xin Hu, Jun Luo, Hong Liang, Jingwei Yue, Yeqing Qi, Hui Liu

“…Abstract Background Delirium is a severe complication in critical elderly patients. This study aimed to develop interpretable machine-learning (ML) models to predict acute delirium and identify risk factors for medical intervention in elderly patients in the intensive care unit (ICU). …”
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NAF-MEEF: A Nonlinear Activation-Free Network Based on Multi-Scale Edge Enhancement and Fusion for Railway Freight Car Image Denoising by Jiawei Chen, Jianhai Yue, Hang Zhou, Zhunqing Hu

“…Additionally, it employs a Nonlinear Activation-Free feature extractor that effectively captures local and global image information. …”
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Modeling and Evaluating a Cache System in ICN Routers Using a Programmable Switch and Computers by Junji Takemasa, Yuki Koizumi, Toru Hasegawa

“…Information-centric networking (ICN) is one of promising networking architectures to replace IP because its notable feature, in-network caching, is expected to reduce about a one-third of the forever increasing Internet traffic. …”
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Chorea: clinical correlates of 119 cases Coréia: análise clínica de 119 casos by Maria Fernanda Mendes, Luiz Augusto Franco De Andrade, Henrique Ballalai Ferraz

“…SC is not commonly seen in developed countries nowadays but is not rare in Brazil. …”
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VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification by Kambham Pratap Joshi, Vishruth Boraiah Gowda, Parameshachari Bidare Divakarachari, Paramesh Siddappa Parameshwarappa, Raj Kumar Patra

“…In order to effectively segment and classify the tumor region, still several developments are required to make an accurate diagnosis. …”
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EDITORIAL: PIONEERING THE FUTURE OF HEALTHCARE THROUGH ADVANCES IN NOVEL DRUG DELIVERY SYSTEMS by Prof. Dr. Abubakar Munir

“…As we delve into the articles featured in this issue of the International Journal of Pharmacy and Integrated Health Sciences, we invite our readers to explore the multifaceted world of novel drug delivery systems. …”
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Fabrication of an Integrated, Flexible, Wireless Pressure Sensor Array for the Monitoring of Ventricular Pressure by Natiely Hernández-Sebastián, Daniela Diaz-Alonso, Bernardino Barrientos-García, Francisco Javier Renero-Carrillo, Wilfrido Calleja-Arriaga

“…An external readout device has also been developed using a discrete printed circuit board (PCB) approach to support pressure measurements. …”
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Triple Design Strategy for Quinoxaline-Based Hole Transport Materials in Flexible Perovskite Solar Cells by Yuanqiong Lin, Zeyuan Gao, Xiaoshang Zhong, Yinghua Lu, Song Tu, Xin Li

“…Herein, we attempt to develop two quinoxaline-based hole transport materials (<b>DQC-T</b> and <b>DQ-T-QD</b>) through a triple strategy encompassing an S···N noncovalent conformational lock, D-A molecular skeletons, and self-assembly or conjugate engineering. …”
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Predicting indoor temperature of solar green house by machine learning algorithms: A comparative analysis and a practical approach by Wenhe Liu, Tao Han, Cong Wang, Feng Zhang, Zhanyang Xu

“…This study focuses on a solar greenhouse located at the experimental base of Shenyang Agricultural University in Shenyang, Liaoning Province, to develop multi-step temperature prediction models based on machine learning algorithms. …”
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DETERMINATION OF WEAK EARTHQUAKE FOCAL MECHANISMS AND MODERN GEODYNAMICS OF SOUTHERN IRAN by Yu. L. Rebetsky, A. A. Lukk, R. E. Tatevossian, V. V. Bykova

“…This approach is based on a specific algorithm of the kinematic method developed by O.I. Gushchenko, which is used in the absence of sliding direction signs. …”
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