Brain Age Prediction Using a Lightweight Convolutional Neural Network by Fatma Eltashani, Mario Parreno-Centeno, James H. Cole, Joao Paulo Papa, Fumie Costen

“…Studies based on brain magnetic resonance images showed a strong relationship between the brain ageing process and accelerated brain atrophy, suggesting using brain age prediction models for early diagnosis of neurodegenerative disorders, such as Parkinson’s, Schizophrenia, and Alzheimer’s disease. …”
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Cell-Specific Regulation of Inflammatory Cytokines and Acute-Phase Proteins by the Glucocorticoid Receptor by Rebecca Winkler, Hong Lu

“…In PHH from donor 1, GR strongly inhibited LPS-induced CXCL1 and CXCL8 translation and transcription, whereas CXCL2 transcription tended to increase with DEX treatment. …”
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Timing Matters: The Impact of Sowing Dates on Photosynthetic Traits and Biomass Accumulation in Hybrid Winter Wheat by Yulu Zhang, Wenlu Li, Zixin Zhu, Ludi Zhao, Hongxiao Duan, Hongmei Ge, Changxing Zhao

“…“Good seed” is selected from varieties with high production potential and strong resistance to stress. To investigate the effects of sowing dates on biomass accumulation and photosynthetic characteristics of hybrid winter wheat, this study was conducted over two growing seasons (2021–2023) using a hybrid variety, Jingmai 17, and a conventional variety, Jimai 22. …”
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Trends and opportunities in renewable energy investment in Saudi Arabia: Insights for achieving vision 2030 and enhancing environmental sustainability by Mahmoud Mohamed Selim, Nasser Alshareef

“…Saudi Arabia, driven by its Vision 2030, has strongly committed to shifting from fossil fuels to renewable energy sources such as solar, wind, and hydrogen. …”
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Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validation by Guiling Wu, Guiling Wu, Sihui Wu, Sihui Wu, Tian Xiong, Tian Xiong, Tian Xiong, You Yao, You Yao, Yu Qiu, Yu Qiu, Yu Qiu, Liheng Meng, Cuihong Chen, Xi Yang, Xi Yang, Xi Yang, Xinghuan Liang, Yingfen Qin

“…Immune dysregulation was observed in MAFLD, with TNFRSF1A and SERPINB2 strongly linked to immune regulation.ConclusionThe sensitivity and accuracy in diagnosing and predicting T2DM-associated MAFLD can be greatly improved using SERPINB2 and TNFRSF1A. …”
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The association between frailty and falls among individuals aged 60 years and older residing in community settings and experiencing hip fractures in China: a cross-sectional study by Lan Jiang, Shulong Ding, Juxia Wang

“…Appropriate adjustments were made for confounding factors, such as age, gender, marital status, education level, smoking, drinking, body mass index (BMI), hearing and vision impairment, hypertension, diabetes, medication history, exercise, and hip fracture.Results After applying the inclusion and exclusion criteria, 5224 subjects from CHARLS (male: 52.2%, female: 47.8%) and 174 patients from the trauma and orthopedic ward (male: 36.2%, female: 63.8%) were included. Analysis revealed a strong association between each additional point in the frailty score and an increased risk of fall in patients aged 60 and older (CHARLS, OR: 1.53, 95% CI: 1.41–1.66; A single center, OR: 1.57, 95% CI: 0.92–2.71). …”
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Estimating stomatal conductance of citrus orchard based on UAV multi-modal information in Southwest China by Quanshan Liu, Zongjun Wu, Ningbo Cui, Shunsheng Zheng, Shouzheng Jiang, Zhihui Wang, Daozhi Gong, Yaosheng Wang, Lu Zhao, Renjuan Wei

“…Additionally, Gs exhibited a strong correlation with 20 cm and 40 cm soil moisture content (SMC20 and SMC40), with R2 of 0.638 and 0.606, respectively (P < 0.05). …”
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Pathological and radiological assessment of benign breast lesions with BIRADS IVc/V subtypes. should we repeat the biopsy? by Wesam Rjoop, Anwar Rjoop, Alia Almohtaseb, Lama Bataineh, Zeina Nser Joubi, Maha Gharaibeh, Abdalrahman Al-Qwabah, Yousef Alasheh, Ismail Matalka

“…BI-RADS categories IVc and V indicate a strong suspicion of cancer. The categorisation of each group is determined by the characteristics of the lesion. …”
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AI augmented edge and fog computing for Internet of Health Things (IoHT) by Deepika Rajagopal, Pradeep Kumar Thimma Subramanian

“…Among the crucial elements to take into account in an IoHT framework are efficient resource management, low latency, and strong security. This review addresses several machine learning techniques for efficient resource management in the IoT, where machine learning (ML) and AI are crucial. …”
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High-throughput methylation sequencing reveals novel biomarkers for the early detection of renal cell carcinoma by Wenhao Guo, Weiwu Chen, Jie Zhang, Mingzhe Li, Hongyuan Huang, Qian Wang, Xiaoyi Fei, Jian Huang, Tongning Zheng, Haobo Fan, Yunfei Wang, Hongcang Gu, Guoqing Ding, Yicheng Chen

“…Further analysis using Cox regression identified 7 of the 23 DMCGIs as prognostic markers for RCC, allowing the development of a prognostic model with strong predictive power for 1-, 3-, and 5-year survival (AUC-ROC > 0.7). …”
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Prevention of sufentanil-induced cough during induction of general anesthesia by low-dose esketamine by Xueyue Zhou, Chaoping Guo, Boyu Liu, Yongqing Guan, Shengxiang Wang, Jun Ji

“…Abstract Background Sufentanil is commonly used to induce general anaesthesia due to its rapid onset of action, strong analgesic effect, long-lasting effect, and stable haemodynamics; however, it often induces cough, increasing the risk of anaesthesia. …”
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Inter-individual Variability in Psychological Outcomes of Supervised Exercise in Adults with Type 2 Diabetes / Variabilidad interindividual en los efectos psicológicos del ejercici... by Marco Guicciardi, Romina Lecis, Davide Massidda, Lucina Corgiolu, Adelina Porru, Matteo Pusceddu, Francesca Spanu

“… Abstract: Exercise is a key component in the management of Type 2 Diabetes Mellitus (T2DM), however despite the strong evidence of its protective effects, a majority of the population with this diagnosis remains inactive and those who start an exercise program are not willing to train themselves over the long-term. …”
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Associations between local COVID-19 policies and anxiety in the USA: a longitudinal digital cohort study by Jeffrey E Olgin, Gregory M Marcus, Rita Hamad, John Kornak, Carmen R Isasi, Ana Sanchez-Birkhead, Mark Pletcher, Soo Park, Natasha Williams, Thomas Carton, Aaron E Cozen, Madelaine Faulkner Modrow, Amy Chiang, Matthew Brandner, Jaime H Orozco, Kristen Azar, Sylvia E K Sudat, Pelin Ozluk, Heather Kitzman, Sara J Knight

“…More comprehensive containment policies were associated with elevated anxiety among people working in strongly affected sectors, and more comprehensive public health policies were associated with elevated anxiety among people vulnerable to racial discrimination.…”
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Evolution laws and control technology of near and far stress field in hard roof mining roadway by Jie HE, Peng CHENG, Le WU, JunPing FAN

“…In response to the challenge of controlling deformation and damage in hard roof strong mining roadways, the study, taking the 15119 return airway of Sijiazhuang as an engineering background, employs a comprehensive research methodology combining theoretical analysis, field measurements, numerical simulations, and industrial experiments to investigate the evolution patterns of stress fields in hard roof mining roadways at various distances and the corresponding control techniques.Research indicates that when a 25-meter coal pillar is retained in the mining area of 15119 Hui Feng Lane, the difficulty in collapsing the hard roof causes stress concentration at a distance. …”
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Influence of cervical muscle strength and pain severity on functional balance and limits of stability in elderly individuals with chronic nonspecific neck pain: a cross-sectional s... by Shaker Hassan S. Alshehri, Ravi Shankar Reddy, Mohammad A. ALMohiza, Mastour Saeed Alshahrani, Batool Abdulelah Alkhamis, Hani Hassan Alnakhli, Ghada Mohammed Koura, Ajay Prashad Gautam, Debjani Mukherjee, Raee S. Alqhtani, Saeed Y. Al Adal, Abdullah Mohammed Alyami, Faisal M. Alyazedi

“…Cervical muscle strength showed moderate to strong positive correlations with LOS (r = 0.56 to 0.62, p < 0.001) and BBS (r = 0.48 to 0.53, p < 0.001). …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…The results revealed strong correlation between the geological and geophysical settings which affect geomorphological patterns. …”
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Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning by Pablo Corona-Fraga, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba

“…Proto-MAML demonstrates strong performance across multiple programming languages, achieving an average precision of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>98.49</mn><mo>%</mo></mrow></semantics></math></inline-formula>, recall of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>98.54</mn><mo>%</mo></mrow></semantics></math></inline-formula>, F1-score of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>98.78</mn><mo>%</mo></mrow></semantics></math></inline-formula>, and exact match rate of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>98.78</mn><mo>%</mo></mrow></semantics></math></inline-formula> in PHP, Java, C, and C++.…”
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Antihypertensive drug-related problems in Vietnamese ambulatory care by Hoang Hai Nguyen, Le Anh Thu Vu, Minh-Hoang Tran, Hong Tham Pham

“…Physician acceptance of aDRP corrections could be strongly related to unnecessary/missing indication, major-to-contraindicated drug interaction, and adverse effects. …”
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Water Risk and Mining Firms’ Stock Return by Maryam Davallou, Shirin Mehrali

“…Further investigations confirmed the existence of a strong relationship between the value at risk and the correlation coefficient of SPI and the market return. …”
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A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation study by Zhongping Guo, Ying Liu, Jingxu Xu, Chencui Huang, Fandong Zhang, Chongchang Miao, Yonggang Zhang, Mengshuang Li, Hangsheng Shan, Yan Gu

“…Additionally, the model’s diagnostic time for plaques (6 s) was found to be significantly shorter than that all of radiologists (p &lt; 0.001).ConclusionThis AI model demonstrated strong clinical potential for carotid plaque detection with improved clinician diagnostic performance, shortening time, and practical implementation in real-world clinical cases.…”
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