On Transformation and Stress–Strain–Temperature Behavior of Fine-Grained Ni-Rich NiTi Wire vs. Aging Mode by Elena Ryklina, Kristina Polyakova, Victor Komarov, Semen Murygin, Anton Konopatsky, Vladimir Andreev, Adilet Ulanov

“…The regularities obtained can be used to predict the set of functional and mechanical properties of titanium nickelide.…”
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Microbial communities associated with the skin, gill, and gut of large yellow croaker (Larimichthys crocea) by Jingan Wang, Chenghao Hu, Xiaojie Tong, Yuan Gao, Renjie Liang, Chibo Liu, Kai Zhao

“…Discriminative microbial taxa such as Psychrobacter in the skin, Enterobacterales in the gill, and Fusobacterium in the gut, and discriminative predictive functions were identified in the skin, gill and gut. …”
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CME Magnetic Structure and IMF Preconditioning Affecting SEP Transport by Erika Palmerio, Emilia K. J. Kilpua, Olivier Witasse, David Barnes, Beatriz Sánchez‐Cano, Andreas J. Weiss, Teresa Nieves‐Chinchilla, Christian Möstl, Lan K. Jian, Marilena Mierla, Andrei N. Zhukov, Jingnan Guo, Luciano Rodriguez, Patrick J. Lowrance, Alexey Isavnin, Lucile Turc, Yoshifumi Futaana, Mats Holmström

“…Then, we analyze in‐situ measurements from five predicted impact locations (Venus, Earth, the Spitzer Space Telescope, the Mars Science Laboratory en route to Mars, and Mars) in order to search for CME signatures. …”
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Mediating effects of social detachment in young and middle-aged stroke patients between stigma and ability to return to work by Jinping Dong, Xueying Ding, Yating Wen, Shujie Sun, Jingliang Wu, Jianhua Wang, Yang Fan, Guojing Hu, Zhang Xin, Jiayin Li, Xiaoyan Sun

“…Social isolation significantly mediated the relationship between stigma and work ability, accounting for 21.66% of the total effect.ConclusionStigma and social isolation can directly predict the level of work ability in young and middle-aged stroke patients. …”
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Clinical outcomes of intravenous urography-assisted shockwave lithotripsy for radiolucent ureteral stones by Shinya Somiya, Shigeki Koterazawa, Katsuhiro Ito, Takao Haitani, Yuki Makino, Ryuichiro Arakaki, Norio Kawase, Yoshihito Higashi, Hitoshi Yamada, Toru Kanno

“…The multivariate analysis was used to examine whether the intravenous urography use predicted treatment success. Furthermore, we compared the outcomes using propensity score matching. …”
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Enhanced interannual variability of the terrestrial carbon sink in China under high emissions by Han Wu, Li Zhang, Honglin He, Xiaoli Ren, Mengyu Zhang, Dingjin Chu, Yuanhao Zheng

“…Our results highlight the crucial influence of future fluctuations in monsoon climate systems on terrestrial carbon sink IAV and the urgency of reducing the uncertainties of Earth system models in predicting both climate in monsoon regions and the responses of carbon cycling processes to temperature.…”
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Synthesis and evaluation of nitrochromene derivatives as potential antileishmanial therapeutics through biological and computational studies by Niloofar Javid, Ali Asadipour, Ehsan Salarkia, Mohammad Amin Langarizadeh, Fatemeh Sharifi, Mohammad Mahdavi, Bagher Amirheidari, Aida Iraji, Hojjat Rezaiezadeh, Gholamreza Hassanpour, Yaghoub Pourshojaei

“…This assessment employed both in vitro techniques to directly observe the compounds’ effects on the parasite and in silico methods, specifically molecular docking studies, to predict and analyze the interaction between the synthesized compounds and various target proteins of the parasite. …”
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Estimation of Abbreviated Cyclosporine A Area under the Concentration-Time Curve in Allogenic Stem Cell Transplantation after Oral Administration by Hanene ELjebari, Nadia Ben Fradj, Issam Salouage, Emna Gaies, Sameh Trabelsi, Nadia Jebabli, Mohamed Lakhal, Tarek Ben Othman, Anis Kouz

“…The LSS equation with the best predictive performance (bias, precision and number of samples) utilized three sampling concentrations was AUC0–12 h=0.607+1.569×𝐶0.5+2.098×𝐶2+3.603×𝐶4(R2=0.943). …”
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Physiological and intestinal microbiota responses of sea cucumber Apostichopus japonicus to various stress and signatures of intestinal microbiota dysbiosis by Liang Cui, Yumeng Xie, Kai Luo, Mingyang Wang, Longzhen Liu, Longzhen Liu, Changlin Li, Xiangli Tian

“…The complexity and stability of microbial ecological networks were further altered by these stresses. KEGG predictions revealed the reduced functional pathways of intestinal microbiota involved in host immunity under different stresses. …”
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Evaluation of Digital PCR as a Technique for Monitoring Acute Rejection in Kidney Transplantation by Hyeseon Lee, Young-Mi Park, Yu-Mee We, Duck Jong Han, Jung-Woo Seo, Haena Moon, Yu-Ho Lee, Yang-Gyun Kim, Ju-Young Moon, Sang-Ho Lee, Jong-Keuk Lee

“…Finally, we found that donor-derived cfDNA measurement by dPCR was not sufficient to predict a patient's clinical condition. Our results indicate that donor-derived cfDNA is not an accurate predictor of kidney status in kidney transplant patients.…”
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Mitotane-Induced Hyperlipidemia: A Retrospective Cohort Study by Hassan Shawa, Ferhat Deniz, Hadil Bazerbashi, Mike Hernandez, Rena Vassilopoulou-Sellin, Camilo Jimenez, Mouhammed Amir Habra

“…Gender, body mass index, cortisol overproduction, baseline levels of HDL-c, and triglyceride did not predict change in HDL-c. Similar changes were noticed in subgroup analysis after excluding patients who were using lipid-lowering agents. …”
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Degradation kinetics, pathways, transformation products, and toxicity assessment of fluorochloridone in agricultural soils by Dong Zhao, Hongyu Chen, Shuo Shen, Enyu Lu, Junlong Feng, Hui Zhi, Lei Wang, Wei Li

“…The primary transformation reactions of FLC in the environment include oxidative dechlorination, reductive dechlorination, reductive defluorination, acetylation, and hydrolysis. Predictive assessments via ECOSAR, alongside empirical laboratory experiments, revealed that most novel TPs exhibit significantly lower acute toxicity towards Danio rerio, Daphnia magna Straus, and Algae compared to FLC. …”
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K-nearest neighbor algorithm for imputing missing longitudinal prenatal alcohol data by Ayesha Sania, Ayesha Sania, Nicolò Pini, Nicolò Pini, Morgan E. Nelson, Michael M. Myers, Michael M. Myers, Lauren C. Shuffrey, Maristella Lucchini, Maristella Lucchini, Amy J. Elliott, Amy J. Elliott, Hein J. Odendaal, William P. Fifer, William P. Fifer

“…After deleting data segments from the first trimester data set with no missing days, there was no difference between actual and predicted values for 64% of deleted segments. For 31% of the segments, imputed data were within +/−1 drink/day of the actual. …”
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Investigating Two-dimensional Horizontal Mesh Grid Effects on the Eulerian Atmospheric Transport Model Using Artificial Neural Network by Amine Ajdour, Brahim Ydir, Houria Bouzghiba, Ishaq Dimeji Sulaymon, Anas Adnane, Dris Ben Hmamou, Kenza Khomsi, Jamal Chaoufi, Gábor Géczi, Radouane Leghrib

“…The second aspect demonstrates: (4) CHIMERE-Artificial Neural Network (CHIMERE-ANN) demonstrates high accuracy in predicting ozone levels for Agadir and Casablanca, achieving improved correlation coefficients of 80% and 94%, respectively, accompanied by a notable decrease in Root Mean Square Error (RMSE) to 7.5 µg m–3 and 7.4 µg m–3. (5) Implementing CHIMERE-ANN with high spatial resolution concentrations (RA3 and RC3) enhances the accuracy of pollutant concentration forecasts. …”
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Expression profile of Bcl‐2 family proteins in newly diagnosed multiple myeloma patients by Cristina De Ramón, Elizabeta A. Rojas, Irena Misiewicz‐Krzeminska, Ignacio J. Cardona‐Benavides, Myriam Cuadrado, Isabel Isidro, María‐José Calasanz, Manuela Fernandez, Ramón García‐Sanz, Noemi Puig, M. Teresa Cedena, Bruno Paiva, Laura Rosiñol, Joaquín Martínez‐López, Joan Bladé, Juan J. Lahuerta, Jesús F. San Miguel, María V. Mateos, Luis A. Corchete, Norma C. Gutiérrez, GEM/PETHEMA cooperative study group

“…Bcl‐2 protein ratios predicting sensitivity to venetoclax in vitro were also able to distinguish patients with shorter time to progression after triplet‐based induction therapy and ASCT. …”
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Estimating and forecasting bitcoin daily prices using ARIMA-GARCH models by Quang Phung Duy, Oanh Nguyen Thi, Phuong Hao Le Thi, Hai Duong Pham Hoang, Khanh Linh Luong, Kim Ngan Nguyen Thi

“…The study looks at how predictable Bitcoin price swings and market volatility will be between 2021 and 2023. …”
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Factors influencing therapeutic efficacy of denosumab against osteoporosis in systemic lupus erythematosus by Sung-Hwan Park, Seung-Ki Kwok, Wan-Uk Kim, Ji Hyeon Ju, Jiwon Yang, Youngjae Park, Jennifer Jooha Lee

“…The therapeutic efficacy of denosumab can be predicted by baseline BMD values, SLEDAI-2K scores and hydroxychloroquine use.…”
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Analysis of Optimal Health-Related Quality of Life Measures in Patients Waitlisted for Lung Transplantation by Junko Tokuno, Toyofumi F Chen-Yoshikawa, Toru Oga, Takahiro Oto, Tomoyo Okawa, Yoshinori Okada, Miki Akiba, Masaki Ikeda, Daisuke Nakajima, Masatsugu Hamaji, Hideki Motoyama, Akihiro Aoyama, Maki Isomi, Kazuo Chin, Hiroshi Date

“…Multiple regression analyses to investigate factors predicting each HRQL score indicated that dyspnea and psychological status accounted for 12% to 28% of the variance more significantly than physiological measures did. …”
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SNP rs9364554 Modulates Androgen Receptor Binding and Drug Response in Prostate Cancer by Yuqian Yan, Lei Shi, Tao Ma, Liguo Wang, Haojie Huang

“…More importantly, we found that this SNP has different binding affinities with transcription factors, specifically FOXA1 and AR, which significantly affects their regulation of <i>SLC22A3</i> transcription. (4) Conclusions: Our findings highlight the potential of using this SNP as a biomarker for predicting chemotherapeutic outcomes and uncover possible mechanisms underlying drug resistance in advanced prostate cancers. …”
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Analysis of Health Impacts from Future Air Quality Changes Considering the Aging Population in Korea by Jinseok Kim, Youjung Jang, Hyejung Hu, Younha Kim, Bomi Kim, Seung Jick Yoo, Jae-Bum Lee, Seung-Hee Eun, Sung-Chul Hong, Hyungah Jin, Jung-Hun Woo

“…When predicting the health impacts of PM_2.5 from future air quality changes, it is crucial to consider both air quality improvements and population aging. …”
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