Associations of inferior frontal sulcal hyperintensities on brain MRI with cerebral small vessel disease, cognitive function, and depression symptoms by Marc Dörner, Malte Pfister, Anthony Tyndall, Roland von Känel, Katja Neumann, Frank Schreiber, Philipp Arndt, Erelle Fuchs, Cornelia Garz, Wenzel Glanz, Michaela Butryn, Anna-Charlotte John, Annkatrin Hildebrand, Sebastian Euler, Andreas B. Hofmann, Lena Machetanz, Johannes Kirchebner, Pawel Tacik, Alexander Grimm, Robin Jansen, Marc Pawlitzki, Solveig Henneicke, Valentina Perosa, Bendix Labeit, Emrah Düzel, Sven G. Meuth, Stefan Vielhaber, Hendrik Mattern, Jose Bernal, Stefanie Schreiber

“…Patients with CSVD were more likely to have higher IFSH scores compared to NC (OR 5.64, 95% CI 1.91–16.60), and greater CSVD severity on MRI predicted more severe IFSH (OR 1.47, 95% CI 1.14–1.88). …”
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Identification of PANoptosis associated lncRNAs associated with clinical prognosis and immune infiltration microenvironment in colon adenocarcinoma by Yangyang Wang, Shihui Zhao, Songtao Du, Tianyi Xia, Liqiang Song, Mingyu Xia, Bomiao Zhang

“…It is of positive significance to further explore risk stratification of COAD patients and identify predictive molecular biomarkers. PANoptosis is defined as a form of inflammatory cell death regulated by PANoptosome, with common features of pyroptosis, apoptosis and necroptosis. …”
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Association of PD-1 and PD-L1 Genetic Polymorphyisms with Type 1 Diabetes Susceptibility by Chenyue Qian, Heming Guo, Xiaohong Chen, Aiming Shi, Sicheng Li, Xin Wang, Jie Pan, Chen Fang

“…Our results indicate that rs4143815 of PD-L1 is significantly associated with T1DM and may serve as a new biomarker to predict the T1DM susceptibility.…”
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PURE: a Prompt-based framework with dynamic Update mechanism for educational Relation Extraction by Xiaohui Cui, Yu Yang, Dongmei Li, Jinman Cui, Xiaolong Qu, Chao Song, Haoran Liu, Siyuan Ke

“…A dynamic instance-relation update mechanism is proposed to refine the database, thus enhancing the accuracy of PURE in predicting new triples. We conduct experiments on a Data Structure course relation extraction dataset and three public datasets. …”
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Model-agnostic neural mean field with a data-driven transfer function by Alex Spaeth, David Haussler, Mircea Teodorescu

“…The resulting mean-field model predicts the response of a network of randomly connected neurons to a time-varying external stimulus with a high degree of accuracy. …”
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Dynamic control of a 10 MW solar-autothermal hybrid biomass gasifier for round-the-clock processing with stable syngas production by Axel Curcio, Sylvain Rodat, Valéry Vuillerme, Stéphane Abanades

“…Insufficient solar power is dynamically counterbalanced by in situ oxy-combustion, to maintain the reaction temperature at 1200 K and the total H2 + CO flowrate production at 1000 NL/s. A Model Predictive Control (MPC) algorithm is thus implemented, and the feasibility of hybridized operation is demonstrated on a second-per-second basis. …”
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Rat Strain Differences in Susceptibility to Alcohol-Induced Chronic Liver Injury and Hepatic Insulin Resistance by Sarah M. DeNucci, Ming Tong, Lisa Longato, Margot Lawton, Mashiko Setshedi, Rolf I. Carlson, Jack R. Wands, Suzanne M. de la Monte

“…The finding of more severe steatohepatitis in alcohol fed Long Evans (LE) compared with Sprague Dawley (SD) and Fisher 344 (FS) rats prompted us to determine whether host factors related to alcohol metabolism, inflammation, and insulin/IGF signaling predict proneness to alcohol-mediated liver injury. …”
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Quality of Care for Patients with Type 2 Diabetes Mellitus in Dubai: A HEDIS-Like Assessment by Shelagh M. Szabo, Katherine M. Osenenko, Lara Qatami, Bonnie M. Korenblat Donato, Ellen E. Korol, Abdulrazzaq A. Al Madani, Fatheya F. Al Awadi, Jaber Al-Ansari, Ross Maclean, Adrian R. Levy

“…No individual characteristics examined predicted receiving quality care. Conclusion. Some guideline monitoring was conducted for most patients; and rates of monitoring for selected measures were comparable to benchmarks from the United States. …”
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The role of cytokine genetic polymorphism in development of acute pancreatitis: analysis of intergenic and environmental interactions by T. A. Samgina, G. A. Zhivotova, P. M. Nazarenko, A. V. Polonikov

“…Interleukin genetic polymorphism investigation may be useful at assessment of cytokine status in AP patients to predict the outcomes and to develop the personalized approach to treatment and prophylaxis.…”
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2,4-Dichlorophenoxyacetic Acid in the Gas and Crystal Phases and Its Intercalation in Montmorillonite—An Experimental and Theoretical Study by Claro Ignacio Sainz-Díaz, Nelly L. Jorge, Jorge M. Romero, André Grand, Alfonso Hernández-Laguna

“…This result was experimentally confirmed. These findings predicted that these natural clay minerals, which are found in the environment, can be excellent adsorbents for the 2,4-D pollutant.…”
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SEASONAL VARIATION OF PHYTOPLANKTON FUNCTIONAL GROUPS IN TUYEN LAM RESERVOIR, CENTRAL HIGHLANDS, VIETNAM by Thi Hoang Yen Tran, Thi Trang Le, Doan Dang Phan, Thanh Thai Tran, Van Tu Nguyen, Ngoc Lam Nguyen, Thanh Luu Pham

“…Functional groups are applied for the first time at Tuyen Lam Reservoir and can be used to predict early-stage cyanobacterial blooms in future studies.…”
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Effects of parental psychological control on mobile phone addiction among college students: the mediation of loneliness and the moderation of physical activity by Jinfu Wang, Liang Li, Qinmei Wu, Na Zhang, Rulan Shangguan, Guan Yang

“…Results The results indicated that, after controlling for gender and age, parental psychological control positively predicted mobile phone addiction among college students (B = 0.083, p = 0.034). …”
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IVS1 −397T>C Estrogen Receptor α Polymorphism Is Associated with Low-Grade Systemic Inflammatory Response in Type 1 Diabetic Girls by Monika Ryba-Stanisławowska, Karolina Rybarczyk-Kapturska, Agnieszka Brandt, Małgorzata Myśliwiec, Jolanta Myśliwska

“…This finding may help the physicians to predict the onset and progression of diabetic microvascular complications.…”
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A New Bearing Fault Diagnosis Method Based on Deep Transfer Network and Supervised Joint Matching by Chengyao Liu, Fei Dong, Kunpeng Ge, Yuanyuan Tian

“…The intelligent bearing fault diagnosis model is then trained to predict the labels of the target domain's feature data. …”
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Relationship between weapon size and six key behavioural and physiological traits in males of the European earwig by Blackwell, Samantha E M, Pasquier, Laura, Dupont, Simon, devers, Severine, Lecureuil, Charlotte, Meunier, Joël

“…We sampled hundreds of males from two populations, selected 60 males with the longest and shortest forceps from each population, and then measured locomotor performance, boldness, aggregation behaviour, survival under harsh conditions, sperm storage, and survival after pathogen exposure. Contrary to our predictions, we detected no main association between forceps length and the traits measured. …”
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Awaking Blood Pressure Surge and Progression to Microalbuminuria in Type 2 Normotensive Diabetic Patients by Michelangela Barbieri, Maria Rosaria Rizzo, Ilaria Fava, Celestino Sardu, Nicola Angelico, Pasquale Paolisso, Angela Abbatecola, Giuseppe Paolisso, Raffaele Marfella

“…We investigated the predictive value of morning blood pressure surge (MBPS) on the development of microalbuminuria in normotensive adults with a recent diagnosis of type 2 diabetes. …”
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Association of Maternal Age to Development and Progression of Retinopathy of Prematurity in Infants of Gestational Age under 33 Weeks by Atsuro Uchida, Masayuki Miwa, Hajime Shinoda, Takashi Koto, Norihiro Nagai, Hiroshi Mochimaru, Yohei Tomita, Mariko Sasaki, Kazushige Ikeda, Kazuo Tsubota, Yoko Ozawa

“…Aim. To find predictive and indicative markers of risk for development of retinopathy of prematurity (ROP) and its progression to the stage requiring laser treatment, in premature infants whose gestational age (GA) was under 33 weeks. …”
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Finding Neural Biomarkers for Motor Learning and Rehabilitation Using an Explainable Graph Neural Network by J. Han, A. Embs, F. Nardi, S. Haar, A. A. Faisal

“…In response to these challenges, we developed a novel Spatial Graph Neural Network (SGNN) model to predict motor learning outcomes from electroencephalogram (EEG) data using the spatial-temporal dynamics of brain activity. …”
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Presenting a causal model of academic vitality based on academic attitudes Emotional self-regulation and positive youth development by Seyed AbdulHadi Samavi, S. Abdolvahab Samavi, Sara Hashemipoor

“…The results of multiple regression analysis showed that the variables of academic attitude (p <0.03, ß = 0.19), emotional self-regulation (p <0.001, ß = 0.31) and positive youthful development (p <0.0001, ß = 0.47) were positive and significant. Have predicted education. Also, the process of modeling structural equations and modeling indices showed that the general research model in the community of high school students in Bandar Lengeh has a good fit (p <0.05). …”
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Comparison of real-time instrument use and absorbent tube method for measuring formaldehyde in working environments: A health risk assessment for gross anatomy staff by Phanpina Soonklang, Arroon Ketsakorn, Nontiya Homkham, Chalermchai Chaikittiporn, Saowanee Norkaew

“…For the Gasmet results, a Monte Carlo simulation was applied in the uncertainty analysis to predict the formaldehyde concentration. Data collection involved questionnaires that included personal and work-related information. …”
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