A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

“…A progressive brain disease that affects memory and cognitive function is Alzheimer’s disease (AD). To put therapies in place that potentially slow the progression of AD, early diagnosis and detection are essential. …”
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From the WHO framework to integrated senior health and wellness hub program: an implementation journey by Xiaoting Huang, Xiaoting Huang, Hao Yi Tan, Hao Yi Tan, Hao Yi Tan, Pei Ling Er, Amber Wong, Si Qi Lim, Joshua Kuan Tan, Wan Qi Yee, Xiaohui Xin, Lian Leng Low

“…IntroductionAs global populations age, ensuring older adults maintain functional ability and wellbeing is a critical public health priority. …”
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Preparation of PET matrix gradient composite fiber membrane for coal mine and Study on the dust filtration-moisture permeability by Gang ZHOU, Zhuo XU, Liwei JIANG, Guanshuang CHEN, Yunlong MA, Rulin LIU, Yongmei WANG

“…Moreover, the distribution of surface elements and functional groups of each fiber membrane was consistent with its feature. …”
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Depressive disorders in women of climacteric age (review of foreign literature for 2012–2016) by N. A. Bokhan, E. V. Lukiyanova, G. G. Simutkin

“…In the abstract-bibliographic and scientometric database Web of Science Core Collection 70 bibliographic sources are selected across foreign journals between 2012 and 2016, including journals with high Impact Factor. …”
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Cloning and expression analysis of sugar transporter protein gene MeSWEET17b in cassava by XUE Jingjing1,2, WEI Zhuowen1, LUO Xiuqin1, AN Feifei1,2*

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pytom-match-pick: A tophat-transform constraint for automated classification in template matching by Marten L. Chaillet, Sander Roet, Remco C. Veltkamp, Friedrich Förster

“…However, TM faces challenges of weak signal of the macromolecules and interfering features with a high signal-to-noise ratio, which are often addressed by time-consuming, subjective manual curation of results. To improve the detection performance we introduce pytom-match-pick, a GPU-accelerated, open-source command line interface for enhanced TM in cryo-ET. …”
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Venous Thromboembolism Prophylaxis in Intensive Care Units (Review) by L. V. Popova, T. B. Kondratieva, M. Z. Kanevskaya, T. L. Aleinikova, E. S. Zykova, А. V. Krivova, A. M. Kuznetsov

“…For most cases, the choice of heparine dose depends on renal function. When there is a high risk of hemorrhage, mechanical preventive aids are applied.…”
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From ancient practices to contemporary green building: Analyzing organic additives in Pitalkhora earthen plasters for sustainable construction by Bhushan Dighe, Manager Rajdeo Singh

“…Further research is necessary to explore their functional properties and assess their viability in contemporary applications.…”
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The Influence of Thickness and Spectral Properties of Green Color-Emitting Polymer Thin Films on Their Implementation in Wearable PLED Applications by Kyparisis Papadopoulos, Despoina Tselekidou, Alexandros Zachariadis, Argiris Laskarakis, Stergios Logothetidis, Maria Gioti

“…Finally, we applied the functional green light-emitting PLED devices based on the two studied materials for the detection of Rhodamine 6G. …”
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Spontaneous blinking and brain health in aging: Large-scale evaluation of blink-related oscillations across the lifespan by Sujoy Ghosh Hajra, Jed A. Meltzer, Prerana Keerthi, Chloe Pappas, Allison B. Sekuler, Cam-CAN Group, Careesa Chang Liu

“…Crucially, these age-related differences were not observed in the behavioral measures of task performance such as reaction time and accuracy, suggesting that blink-related neural responses during the target detection task are more sensitive in capturing aging-related brain function changes compared to behavioral measures alone. …”
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Real-World Efficacy of Explainable Artificial Intelligence using the SAGE Framework and Scenario-Based Design by Eleanor Mill, Wolfgang Garn, Chris Turner

“…The first of its kind, it leverages three distinct but complementary frameworks to support a user-centric and context-sensitive, post-hoc explanation for fraud detection. Using the principles of scenario-based design, it amalgamates two independent real-world sources to establish a realistic card fraud prediction scenario. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…The global market's increasing demand, diverse resource supply options, global competition, and environmental protection needs are driving organizations to adopt sustainable strategies. …”
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Urinary Albumin-to-Creatinine Ratio (uACR) Point-of-Care (POC) Device with Seamless Data Transmission for Monitoring the Progression of Chronic Kidney Disease by Artitaya Thiengsusuk, Napaporn Youngvises, Runtikan Pochairach, Rehab Osman Taha, Kridsada Sirisabhabhorn, Nadda Muhamad, Wanchai Meesiri, Wanna Chaijaroenkul, Kesara Na-Bangchang

“…Its portability and cost-effectiveness make it particularly suitable for use in low-resource environments. Additionally, integrating uACR with eGFR enhances prognostic capabilities, offering a comprehensive approach to assessing kidney function and predicting CKD progression.…”
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Torsion Pendulum Apparatus for Ground Testing of Space Inertial Sensor by Shaoxin Wang, Zuolei Wang, Dongxu Liu, Peng Dong, Jian Min, Ziren Luo, Keqi Qi, Jungang Lei

“…The precise movement of the test mass along a geodesic is crucial for gravitational wave detection in space. To maintain this motion, the core payload-inertial sensor incorporates multiple functional units designed to mitigate various sources of stray force noise affecting the test mass. …”
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CLASSIFYING LIVER DISEASE WITH BOOSTING MACHINE LEARNING APPROACHES by Erol Özçekiç, Ümit Yılmaz

“…Liver diseases pose a significant global health challenge due to their impact on metabolic function and the difficulty of early detection. Traditional diagnostic methods such as liver biopsy have limitations due to their invasive nature and high costs. …”
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PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

“…The modification of the classical artificial potential field method using the Gaussian function to describe repulsive forces is an example of optimizing the method for systems with constrained resources. …”
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Establishment and characterization of liver‐specific Apoa4‐Cre and Cyp2c11‐Cre rat models in juvenile and adult stages by Wei Dong, Xiang Gao, Feifei Guan, Jirong Pan, Wei Chen, Li Zhang, Lianfeng Zhang

“…The blood biochemical analysis of several liver enzymes and liver lipid profile was performed to evaluate the liver function of Cre rats. Results Apoa4 and Cyp2c11 were identified as two liver‐specific genes. …”
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Liquid chromatography-high resolution mass spectrometry based analysis of persistent mobile organic compounds in aqueous samples: Method development and optimization by Kyriaki Anagnostopoulou, Vasileios Alampanos, Eleni Evgenidou, Dimitra A. Lambropoulou

“…Persistent Mobile Organic Compounds (PMOCs) represent a critical threat to water resources due to their high solubility, resistance to degradation, and potential toxicity, posing risks to human health and ecosystems. …”
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Nurses’ usage of validated tools to assess for delirium in general acute care settings: A scoping review protocol [version 1; peer review: 2 approved] by Aoibhinn Boyd, Leona Bannon, Marcia Kirwan

“…It often affects hospital in-patients and is associated with an increased risk of mortality, dementia, and functional decline. Delirium can be detected through the use of validated assessment tools, administered by nurses, and early detection is associated with improved outcomes for patients. …”
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Mid-infrared Ensemble Variability of Broad-line and Narrow-line Seyfert 1 Galaxies by Zhipeng Hu, Lisheng Mao

“…The MIR variability of the combined sample is positively correlated with black hole mass and the FWHM of the H β emission line at long rest-frame time lags. (4) The long-term MIR variability of the combined sample may be mainly driven by the Eddington ratio. (5) For BLSy1 galaxies, the MIR variability of radio-detected sources is greater than that of radio-undetected sources, whereas for NLSy1 galaxies, the opposite is true.…”
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