Assessment of the Performance of Membranes Type Koch in Hartha Power Plant by Ala'a Abdulrazaq Jassim

“…A simulation of the behavior of RO membranes was conducted using standard Saehane software and compared with predicted model that was developed by the same authors. …”
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Silver Nanoparticles Decorated in In Situ Reduced Graphene Oxide Nanohybrids Improved Properties in Poly(vinylidene fluoride)/Poly(methyl methacrylate) Blends by Afifeh Khorramshokouh, Hesam Ramezani, Mehdi Sahami, Mehdi Sharif, Behzad Vaferi

“…The Halpin-Tsai model was also used for PVDF/PMMA/rGO-Ag nanocomposites, and the results confirmed that this model works well to predict the tensile modulus. Impedance spectroscopy analysis showed that the presence of rGO-Ag nanohybrids in PVDF/PMMA blend effectively enhanced the conductivity of PVDF/PMMA blend. …”
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Arctic sea ice melting has produced distinct sea ice-atmosphere coupled patterns by Bingyi Wu

“…These findings underscore the pivotal role of Arctic sea ice melting in influencing the interannual and interdecadal variations of winter atmospheric circulation patterns and have significant implications for predicting short-term winter temperature trends over Eurasia.…”
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Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species. by Yumin Zheng, Haohan Wang, Yang Zhang, Xin Gao, Eric P Xing, Min Xu

“…Therefore, cross-species PAS identification, which enables the possibility to predict PAS from untrained species, naturally becomes a promising direction. …”
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Effect of Compressed Gas on Deep Mine Long-Distance Backfill Pipe Flushing: From Laboratory to Industrial Tests by Longjian Bai, Hongjiang Wang, Aixiang Wu, Hao Li, Shengkai Wang, Chong Chen, Chunkang Liu

“…A model was established to predict water consumption, which was validated by industrial tests. …”
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A Novel Inflammation-Based Stage (I Stage) in Patients with Resectable Esophageal Squamous Cell Carcinoma by Peng-Cheng Chen, Ji-Feng Feng

“…The inflammation-based stage (I stage) is a novel and useful predictive factor for CSS in patients with resectable ESCC.…”
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A Framework for Evaluating Geomagnetic Indices Forecasting Models by Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid

“…This metric facilitates a robust comparison of different forecasting models, presenting a true representation of a model's predictive capabilities while being resilient to different storms duration. …”
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Motivations of Retailers Accepting Cryptocurrency Payments and Their Implications on Retail Customer Experience by Muhammed Ali Yetgin, Kasım Yılmaz, Volkan Temizkan

“…Unlike the studies in the literature, as a result of this study, it is predicted that payments with crypto money will be one of the alternative payment tools of the future, after the cryptocurrencies are positioned on a legal platform by the official authorities.…”
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Application of Combustion Module Coupled with Cavity Ring-Down Spectroscopy for Simultaneous Measurement of SOC and δ13C-SOC by Dan Liu, Zhiguo Yu, Junjie Lin

“…Quantifying the decomposition of soil organic carbon (SOC) fractions under climate change is essential to predict carbon-climate feedbacks. The accuracy and utility of a combustion module coupled with cavity ring-down spectroscopy (CM-CRDS) system were assessed for simultaneously determining SOC and δ13C-SOC. …”
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Clause order in sentences containing a since- subordinate by Bénédicte GUILLAUME

“…The study of a large corpus consisting of nearly five hundred examples sampled from the one-hundred-million-word British National Corpus shows that the placement of an SC (that is to say, whether it precedes or follows its MC) is impossible to predict based solely on the nature of the subordinate, which can be either causal or temporal. …”
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Research ethics in social science research during health pandemics: what can we learn from COVID-19 experiences? by Tejendra Pherali, Sara Bragg, Catherine Borra, Phil Jones

“…Given that pandemics are predicted to be more frequent, it is vital to understand how to continue crucial research in schools and other learning communities. …”
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Mental wellbeing of higher education students in challenging times by Magdalena Anna Lazarewicz, Unni Karin Moksnes, Randi Johansen Reidunsdatter, Dorota Wlodarczyk

“…The aim of the study was to investigate how higher education students' appraisal of the COVID-19 pandemic situation and of their personal resources predict mental wellbeing (anxiety and curiosity).MethodsThe study used cross-sectional data collected from 3,727 higher education students in an online survey conducted during the first wave of the COVID-19 pandemic.ResultsAfter controlling for a number of pandemic-related factors, all considered aspects of the pandemic situation appraisal and resources appraisal were significant predictors of anxiety and/or curiosity. …”
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Assessing Africa's child survival gains and prospects for attaining SDG target on child mortality. by Sunday A Adedini, Seun Stephen Anjorin, Jacob Wale Mobolaji, Elvis Anyaehiechukwu Okolie, Sanni Yaya

“…Many countries are far from achieving this target. Results of the predictions using supervised machine learning on the Bayesian network reveal that the probability of achieving the SDG target 3.2 (i.e., having U5MR of 25 deaths per 1000 live births or less) increases (from 21.6% to 100%) when the contraceptive prevalence increases from 49.8% to 78.5%; and the use of skilled birth attendants increases from 44.8% to 86.3%; and percentage of secondary school completion of female increases from 42.5 to 74.0%. …”
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Virtual Healthcare Center for COVID-19 Patient Detection Based on Artificial Intelligence Approaches by Seifeddine Messaoud, Soulef Bouaafia, Amna Maraoui, Lazhar Khriji, Ahmed Chiheb Ammari, Mohsen Machhout

“…First, the patient’s symptoms are checked, and the infection probability is predicted. Then, based on the infection probability, the patient’s lungs will be diagnosed by an automatic analysis of X-ray or computerized tomography (CT) images, and the presence of the infection will be accordingly confirmed or not. …”
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Investigating Human Influence on Offshore Terrestrial Organic Carbon Trends in a High-Energy Delta: The Ayeyarwady Delta, Myanmar by Evan R. Flynn, Steven A. Kuehl

“…This is in contrast to other large Asian deltas, where signals of human landscape disturbance are clearly preserved offshore. We predict that planned mainstem damming in Myanmar will result in larger alterations in sediment and TerrOC supply that may become apparent offshore in the near future.…”
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Development of research on HIV-associated neurocognitive disorder and emerging trends: a visualization analysis via CiteSpace by Tingting Zhou, Xuannan Chen, Yu Lai

“…Betweenness centrality, count, and burst values were used as indicators in the visualization analysis, aiming to predict future new directions and cutting-edge trends.ResultsThe last decade has been the peak period of HAND research, with the most prominent contributions by authors, countries, and institutions being Grant, Igor (135), the USA (2211), and the University of California System (758), respectively. …”
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The relationship between principals’ pedagogical leadership practices and teachers’ job performance: the role of sociodemographic characteristics by Kelemu Zelalem Berhanu

“…Conclusions and implications - principals’ practice of pedagogical leaders plays a predictive role in teachers’ job performance. Specific sociodemographic factors also have a role in shaping leadership perceptions and performance outcomes. …”
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Identification of novel genes responsible for a pollen killer present in local natural populations of Arabidopsis thaliana. by Anthony Ricou, Matthieu Simon, Rémi Duflos, Marianne Azzopardi, Fabrice Roux, Françoise Budar, Christine Camilleri

“…Sequence analyses reveal predicted domains from the same families in the killer proteins. …”
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Rethinking gold(II) porphyrins: an inherent wave distortion by Ghosh, Abhik, Conradie, Jeanet

“…Relativistic DFT (OLYP-D3/ZORA-STO-TZ2P) calculations predict low adiabatic ionization potentials for gold(II) porphyrins, from 4.60 eV for Au[TPP] (TPP $=$ tetraphenylporphyrin) to 5.34 eV for Au[TPFPP] [TPFPP $=$ tetrakis(pentafluorophenyl)porphyrin]. …”
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Advanced Fraud Detection: Leveraging K-SMOTEENN and Stacking Ensemble to Tackle Data Imbalance and Extract Insights by Nurafni Damanik, Chuan-Ming Liu

“…The study identifies key features driving model predictions by leveraging Local Interpretable Model-Agnostic Explanations (LIME), illustrating how base learners and the meta-learner contribute to the final decision. …”
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