Cognitive performance and differentiation of B-SNIP psychosis Biotypes: Algorithmic Diagnostics for Efficient Prescription of Treatments (ADEPT) - 2 by Brett A. Clementz, Ishanu Chattopadhyay, S. Kristian Hill, Jennifer E. McDowell, Sarah K. Keedy, David A. Parker, Rebekah L. Trotti, Elena I. Ivleva, Matcheri S. Keshavan, Elliot S. Gershon, Godfrey D. Pearlson, Carol A. Tamminga, Robert D. Gibbons

“…Method: Clinical assessments from ADEPT-CLIN plus 18 cognitive measures from 1907 individuals with a B-SNIP psychosis Biotype were used to create an additional diagnostic algorithm called ADEPT-COG. Extremely randomized trees were used to create this low burden classifier. …”
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Developing a machine learning model for predicting varicocelectomy outcomes: a pilot study by Coşkun Kaya, Mehmet Erhan Aydın, Özer Çelik, Aykut Aykaç, Mustafa Sungur

“…The Extra Trees Classifier, Light Gradient Boosting Machine Classifier, eXtreme Gradient Boosting Classifier, Logistic Regression, and Random Forest Classifier techniques were used as ML algorithms.41 males were included in the study. 31 (75.6%) and 10 (24.4%) patients were classified as Group 1 and 2, respectively. …”
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Occurrence and Exposure Assessment of Zearalenone in the Zhejiang Province, China by Zijie Lu, Ronghua Zhang, Pinggu Wu, Dong Zhao, Jiang Chen, Xiaodong Pan, Jikai Wang, Hexiang Zhang, Xiaojuan Qi, Qin Weng, Shufeng Ye, Biao Zhou

“…Overall, the majority of the residents in the Zhejiang Province have a low risk of exposure to ZEN. In an extreme case (based on the 95th exposure percentile), the total ZEN exposure from the studied foods with respect to children aged ≤6 years and 7–12 years is 0.38 μg/kg b.w. and 0.26 μg/kg b.w., respectively—both exceeding the safety limit of 0.25 μg/kg b.w. set by the European Food Safety Authority, indicating a potential risk of exposure. …”
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Association between Brain-Derived Neurotrophic Factor (BDNF) Levels in 2nd Trimester Amniotic Fluid and Fetal Development by Nikolaos Antonakopoulos, Zoe Iliodromiti, George Mastorakos, Christos Iavazzo, Georgios Valsamakis, Nikolaos Salakos, Aris Papageorghiou, Alexandra Margeli, Sophia Kalantaridou, George Creatsas, Efthymios Deligeoroglou, Nikolaos Vrachnis

“…Though apparently small, this difference is, nevertheless, statistically significant (p value < 0.05) in SGA fetuses in the extremes of the distribution, i.e., below the 3rd centile. …”
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Ceria nanoparticles ameliorate renal fibrosis by modulating the balance between oxidative phosphorylation and aerobic glycolysis by Mengling Wang, Feng Zeng, Fengling Ning, Yinhang Wang, Shilin Zhou, Jiaqi He, Cong Li, Cong Wang, Xiaolin Sun, Dongliang Zhang, Jisheng Xiao, Ping Hu, Svetlana Reilly, Hong Xin, Xudong Xu, Xuemei Zhang

“…Unfortunately, the pathogenesis of renal fibrosis remains largely unexplored, among which metabolic reprogramming plays an extremely crucial role in the evolution of renal fibrosis. …”
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An Injectable Oil-Based Depot Formulation of <i>N</i>-Acyloxymethyl Prodrug of Ropivacaine for Long-Acting Local Analgesia: Formulation Development and In Vitro/In Vivo Evaluation by Xiaowei Liu, Ruihan Zhao, Peijie Xu, Jianqiang Qian, Peiyan Zhang, Xudong Xie, Yong Ling, Qimin Ge, Yong Chen

“…The high Log P value of ROP-ST (9.16) demonstrated extremely low aqueous solubility, but the prodrug is biolabile when in contact with plasma or liver esterase. …”
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Prediction of microvascular obstruction from angio-based microvascular resistance and available clinical data in percutaneous coronary intervention: an explainable machine learning... by Zhe Zhang, Yang Dai, Peng Xue, Xue Bao, Xinbo Bai, Shiyang Qiao, Yuan Gao, Xuemei Guo, Yanan Xue, Qing Dai, Biao Xu, Lina Kang

“…Among the classifiers, Extreme gradient boosting (XGBoost) post hyperparameter optimization displayed superior performance, achieving an AUC of 0.911 and 0.846 in the training and validation sets, respectively. …”
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Static and dynamic assessments of park accessibility and equity across different living circles in shenzhen’s core area by Zhongshan Huang, Qiyue Jia, Shixian Luo, Zhigang Tu, Lei Zhao, Siyuan Li, Zhengyan Lu

“…Within the 5 min living circle, the Gini coefficient for the static population is 0.952 but reaches as high as 0.971 for the dynamic population, indicating extreme inequity in park distribution within short walking distances. …”
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Evaluation of urban water cycle health status based on DPSIRM framework and AHP-FCE-Cloud model by Jiageng Hu, Fuqiang Wang, Peiheng Liu, Subing Lü, Cheng Lü, Furong Yu

“…However, time lags in policy implementation and extreme weather events from climate change negatively impact evaluation accuracy, complicating the research. …”
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Blowing Out the Candle: How to Quench Galaxies at High Redshift—An Ensemble of Rapid Starbursts, AGN Feedback, and Environment by Lucas C. Kimmig, Rhea-Silvia Remus, Benjamin Seidel, Lucas M. Valenzuela, Klaus Dolag, Andreas Burkert

“…Recent observations with JWST and the Atacama Large Millimeter/submillimeter Array have revealed extremely massive quiescent galaxies at redshifts of z = 3 and higher, indicating both rapid onset and quenching of star formation. …”
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Patterns and trends of heat and wildfire smoke indicators across rural–urban and social vulnerability gradients in Idaho by Seyd Teymoor Seydi, Jennifer Pierce, John T Abatzoglou, Anna Radin, Ethan Sims, Hilary Flint, Stephanie Wicks, Eric Henderson, Bhaskar Chittoori, Mojtaba Sadegh

“…Our findings indicate that while climatic extremes continue to increasingly threaten human lives, nature-based solutions—such as neighborhood greening, where allowed by environmental and social factors—can mitigate some of the adverse impacts of climate change.…”
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Search for signals of positive selection of circadian rhythm genes <i>PER1</i>, <i>PER2</i>, <i>PER3</i> in different human populations by A. I. Mishina, S. Y. Bakoev, A. Y. Oorzhak, A. A. Keskinov, Sh. Sh. Kabieva, A. V. Korobeinikova, V. S. Yudin, M. M. Bobrova, D. A. Shestakov, V. V. Makarov, L. V. Getmantseva

“…In addition, many of the selection variants in the PER1, PER2, PER3 genes appear to regulate biological processes that are associated with major modern diseases, including obesity, cancer, metabolic syndrome, bipolar personality disorder, depression, rheumatoid arthritis, diabetes mellitus, lupus erythematosus, stroke and Alzheimer’s disease, making them extremely interesting targets for further research aimed at identifying the genetic causes of human disease.…”
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Dihydroporphyrin iron (III) enhances low temperature tolerance by increasing carbon and nitrogen metabolism in Andrographis paniculata by Shao-Fen Jian, Shao-Fen Jian, Shao-Fen Jian, Yan-Fen Huang, Yan-Fen Huang, Yan-Fen Huang, Dong-Liang Chen, Chu Zhong, Chu Zhong, Chu Zhong

“…We found that Andrographis paniculata is extremely sensitive to low temperature (LT) with a threshold of 25°C. …”
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ConvXGB: A novel deep learning model to predict recurrence risk of early-stage cervical cancer following surgery using multiparametric MRI images by Ji Wu, Jian Li, Bo Huang, Sunbin Dong, Luyang Wu, Xiping Shen, Zhigang Zheng

“…We designed a novel deep learning model called “ConvXGB” for predicting recurrence risk by combining the convolutional neural network (CNN) and eXtreme Gradient Boost (XGBoost). The predictive performance of the ConvXGB model was evaluated using time-dependent area under curve (AUC), compared with the deep learning radio-clinical model, clinical model, conventional radiomics nomogram and an existing histology-specific tool. …”
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Tracking pygmy blue whale diving behaviour and validation of foraging areas defined from horizontal movement data by Michele Thums, Luciana C. Ferreira, Andrew Davenport, Micheline Jenner, Luciana Möller, Grace Russell, Robert D. McCauley, Curt Jenner

“…Our test of movement models to define foraging is extremely useful given its common usage in ecology and our spatial delineation of foraging areas assists with conservation management.…”
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A New Approach to Identifying Red Supergiant Stars in Metal-poor Galaxies: A Case Study of NGC 6822 by Zhi-wen Li, Ming Yang, Biwei Jiang, Yi Ren

“…In the complete sample, we identify 1184 RSG, 1559 oxygen-rich AGB (O-AGBs), 1075 carbon-rich AGB (C-AGBs), and 140 extreme AGB (x-AGBs) candidates, with a contamination rate of approximately 20.5%, 9.7%, 6.8%, and 5.0%, respectively. …”
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A Randomized Clinical Trial of a Functional Electrical Stimulation Mimic to Gait Promotes Motor Recovery and Brain Remodeling in Acute Stroke by Xiuyuan Zheng, Danfeng Chen, Tiebin Yan, Dongmei Jin, Zhiqiang Zhuang, Zhimei Tan, Wei Wu

“…In conclusion, when four-channel FES induces cycling movement of the lower extremities based on a gait pattern, it may be more effective in promoting motor recovery and induce more plastic changes and brain remodeling than two-channel stimulation. …”
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Land use land cover changes from 2003 to 2023 using Remote Sensing and GIS techniques in Niamotpur Upazila with a predictive study for the next decade by Nazmul Hossain, Jannatul Adnan, Tasmia Jahin Mim, Ayesha Binte Zohir, Iftakhar Ahmad, Ahmadullah Zaman, Mehedi Hasan, Noor Hossain

“…Drought-prone areas saw a drastic decrease in extreme drought and a substantial increase in no-risk areas. …”
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Effects of permafrost stability changes on vegetation dynamics in the middle part of the Greater Khingan Mountains by Jiaman Sun, Wei Shan, Chengcheng Zhang

“…The area of stable and extremely stable permafrost has significantly decreased, while the area of transitional or unstable permafrost has increased annually, indicating a negative correlation between climate warming and frozen soil stability. …”
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LAND USE CHANGES AND LAND DEGRADATION IN POST-SOCIALIST ROMANIA by DAN BĂLTEANU, ELENA-ANA POPOVICI

“…On utilise les données statistiques pour la période 1989–2006 et on met en évidence, au niveau national et régional, les changements survenus dans l’utilisation des terrains, en étroite liaison aves les phénomènes climatiques extrêmes…”
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