Language Proficiency Across Tasks in Sequential Bilingual and Monolingual Children by Susan Logue, Raffaella Folli, Christina Sevdali, Victoria Singer, Juliana Gerard

“…We also find selective effects of age for monolinguals and both age and length of exposure (LOE) for bilinguals; in particular, while LOE predicts variation between the first and second language, age effects reflect underlying similarity across languages. …”
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A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption by Osama Sohaib, Walayat Hussain, Muhammad Asif, Muhammad Ahmad, Manuel Mazzara

“…Also, ANN is capable of modelling complex linear and non-linear relationships with high predictive accuracy compared to SEM methods. Also, an Importance-Performance Map Analysis (IPMA) of the PLS-SEM results provides a more specific understanding of each factor’s importance-performance.…”
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Laboratory Testing of Polymer Flooding by Hydrolyzed Poly(acrylamide) in High Salinity Conditions by I. Gussenov, A. Shakhvorostov, A. Ayazbayeva, S.E. Kudaibergenov

“…In fact, as the molecular weight increased from low to medium high and super high, it required the assumption of a much higher viscosity to achieve a fit between fractional flow predictions and actual polymer flood results. These findings highlight the potential of high molecular weight HPAM solutions to enhance oil recovery in high salinity environments and underscore the importance of using both sand pack flooding experiments and fractional flow calculations for comparing different polymers. …”
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Aspect category sentiment analysis based on pre-trained BiLSTM and syntax-aware graph attention network by Guixian Xu, Zhe Chen, Zixin Zhang

“…Abstract Aspect Category Sentiment Analysis (ACSA) is a fine-grained sentiment analysis task aimed at predicting the sentiment polarity associated with aspect categories within a sentence.Most existing ACSA methods are based on a given aspect category to locate sentiment words related to it. …”
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The Effect of Path and Beginning Time of Ascending on Incidence of Acute Mountain Sickness around Mount Damavand in Iran (5671 m) by Reza Alizadeh, Vahid Ziaee, Lotf-Ali Frooghifard, Mohammad-Ali Mansournia, Ziba Aghsaeifard

“…Multiple logistic regression analysis was used to explore the independent predicting variables for AMS. Results. Overall incidence rate of AMS was 53.6%. …”
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Risk Factors for Gestational Diabetes Mellitus in a Large Population of Women Living in Spain: Implications for Preventative Strategies by Ana M. Ramos-Leví, Natalia Pérez-Ferre, M. Dolores Fernández, Laura del Valle, Elena Bordiu, Ana Rosa Bedia, Miguel A. Herraiz, M. José Torrejón, Alfonso L. Calle-Pascual

“…The aim of this study is to establish a risk appraisal model for GDM by identifying modifiable factors that can help predict the risk of GDM in a large population of 2194 women living in Spain. …”
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Monitoring Coastal Water Turbidity Using Sentinel2—A Case Study in Los Angeles by Yuwei Kong, Karina Jimenez, Christine M. Lee, Sophia Winter, Jasmine Summers-Evans, Albert Cao, Massimiliano Menczer, Rachel Han, Cade Mills, Savannah McCarthy, Kierstin Blatzheim, Jennifer A. Jay

“…Machine learning models were assessed for predictive accuracy, with the random forest model achieving the highest performance (R² = 0.632), indicating its robustness in modeling complex turbidity patterns. …”
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Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance by Arohi Agarwal, Gagan Singh, Samyak Jain, Piyush Mittal

“…It delves into the notable benefits and challenges encountered in advancing data analytics of the early 21st century.In many countries, Post-marketing surveillance of drug safety relinquishes on a systematic analysis of spontaneous using Generative artificial intelligence (AI) to overcome gaps in the present PV ecosystem is critical to maintaining an uninterrupted record of security and effectiveness within healthcare analytics, data mining techniques, predictive analytics, and the emergence of scientific fields like bioinformatics and health informatics are empowered by Big Data. …”
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Quantification of Free Circulating DNA and Differential Methylation Profiling of Selected Genes as Novel Non-Invasive Biomarkers for Endometriosis Diagnosis by Moncef Benkhalifa, Pierre Alain Menoud, David Piquemal, Jack Y. Hazout, Sami Mahjoub, Mohammed Zarquaoui, Noureddine Louanjli, Rosalie Cabry, Andre Hazout

“…Our data suggest that the combination of cell-free DNA quantification and the assessment of the epigenetic signature of differential methylation of nine genes can be proposed as a non-invasive predictive and diagnostic test for endometriosis.…”
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Light Scattering and Current Enhancement for Microcrystalline Silicon Thin-Film Solar Cells on Aluminium-Induced Texture Glass Superstrates with Double Texture by Yunfeng Yin, Nasim Sahraei, Selvaraj Venkataraj, Sonya Calnan, Sven Ring, Bernd Stannowski, Rutger Schlatmann, Armin G. Aberle, Rolf Stangl

“…The influence of the resulting “double texture” on the optical scattering is investigated by means of atomic force microscopy (AFM) (studying the surface topology), haze measurements (studying scattering into air), and short-circuit current enhancement measurements (studying scattering into silicon). A predicted enhanced optical scattering efficiency is experimentally proven by a short-circuit current enhancement ΔIsc of up to 1.6 mA/cm2 (7.7% relative increase) compared to solar cells fabricated on a standard superstrate, that is, planar glass covered with nanotextured TCO. …”
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Increased Chromosomal and Oxidative DNA Damage in Patients with Multinodular Goiter and Their Association with Cancer by Hamiyet Donmez-Altuntas, Fahri Bayram, Nazmiye Bitgen, Sibel Ata, Zuhal Hamurcu, Gulden Baskol

“…Our study is the first report of increased chromosomal and oxidative DNA damage in patients with multinodular goiter, which may predict an increased risk of thyroid cancer in these patients. …”
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Toward an integrated pantropical ocean observing system by Gregory R. Foltz, Yassir A. Eddebbar, Janet Sprintall, Antonietta Capotondi, Antonietta Capotondi, Sophie Cravatte, Sophie Cravatte, Peter Brandt, Peter Brandt, Adrienne J. Sutton, Tamaryn Morris, Juliet Hermes, Juliet Hermes, Clive R. McMahon, Michael J. McPhaden, Lev B. Looney, Lev B. Looney, Lev B. Looney, Franz Philip Tuchen, Franz Philip Tuchen, Mathew Koll Roxy, Fan Wang, Fei Chai, Regina R. Rodrigues, Belen Rodriguez-Fonseca, Belen Rodriguez-Fonseca, Aneesh C. Subramanian, Marcus Dengler, Cheyenne Stienbarger, Kathleen Bailey, Weidong Yu

“…Understanding, monitoring, and predicting the exchanges of these quantities across the ocean’s surface, their interactions with the atmosphere, and their horizontal and vertical pathways through the global oceans, are key for advancing fundamental knowledge and improving forecasts and longer-term projections of climate, weather, and ocean ecosystems. …”
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Detection of early relapse in multiple myeloma patients by Tereza Růžičková, Monika Vlachová, Lukáš Pečinka, Monika Brychtová, Marek Večeřa, Lenka Radová, Simona Ševčíková, Marie Jarošová, Josef Havel, Luděk Pour, Sabina Ševčíková

“…It is currently not possible to predict when relapse will occur; numerous studies investigating the dysregulation of non-coding RNA molecules in cancer suggest that microRNAs could be good markers of relapse. …”
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Modulation of Biomaterial‐Associated Fibrosis by Means of Combined Physicochemical Material Properties by Lisa E. Tromp, Torben A.B. van derBoon, Roderick H.J. deHilster, Ruud Bank, Patrick van Rijn

“…Material properties are known to influence cellular behavior and can be used to manipulate cell responses, but predicting the right combination for the desired outcomes is challenging. …”
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The Feasibility of Societal Cost Equivalence between Robotic Hysterectomy and Alternate Hysterectomy Methods for Endometrial Cancer by Neel T. Shah, Kelly N. Wright, Gudrun M. Jonsdottir, Selena Jorgensen, Jon I. Einarsson, Michael G. Muto

“…Results. 40 (17.1%) of hysterectomies for endometrial cancer were robotic, 91 (38.9%), were abdominal, and 103 (44.0%) were laparoscopic. 96.3% of the variation in operative cost between patients was predicted by operative time (𝑅=0.963, 𝑃<0.01). Mean operative time for robotic hysterectomy was significantly longer than other methods (𝑃<0.01). …”
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Evaluation of Diabetic Patients with Breast Cancer Treated with Metformin during Adjuvant Radiotherapy by Adam Ferro, Sharad Goyal, Sinae Kim, Hao Wu, Neil K. Taunk, Devora Schiff, Aneesh Pirlamarla, Bruce G. Haffty

“…Multiple logistic regression analysis demonstrated concurrent metformin use as being associated with a trend toward the predictive value of determining the incidence of developing desquamation in diabetic patients receiving radiation therapy compared to diabetic patients receiving an alternate diabetes medication (P value = 0.06). …”
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Adeno-associated virus-based gene therapy for hemophilia–addressing the gaps by Wolfgang Miesbach, Paul Batty, Pratima Chowdary, Sylvia Fong, Radoslaw Kaczmarek, Frank W.G. Leebeek, Brian Long, Johnny Mahlangu, Mike Makris, Glenn F. Pierce, Steven W. Pipe, Alok Srivastava, Jan Voorberg, Flora Peyvandi

“…This effort aims to enhance the predictability of individual responses, address variability in outcomes, and ultimately provide more effective, safer, and personalized treatment options for individuals with hemophilia.…”
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Effect and Safety of Mycophenolate Mofetil or Sodium in Systemic Sclerosis-Associated Interstitial Lung Disease: A Meta-Analysis by Argyris Tzouvelekis, Nikolaos Galanopoulos, Evangelos Bouros, George Kolios, George Zacharis, Paschalis Ntolios, Andreas Koulelidis, Anastasia Oikonomou, Demosthenes Bouros

“…The main end-points were safety and efficacy profile as estimated by forced vital capacity (FVC)% and diffusion capacity of the lung for carbon monoxide (DLCO)% of the predicted normal value (%pred.) before and after treatment in patients with SSc-ILD. …”
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Addressing unfamiliar ship type recognition in real-scenario vessel monitoring: a multi-angle metric networks framework by Jiahua Sun, Jiawen Li, Jiawen Li, Jiawen Li, Jiawen Li, Ronghui Li, Ronghui Li, Ronghui Li, Langtao Wu, Liang Cao, Liang Cao, Liang Cao, Liang Cao, Molin Sun, Molin Sun, Molin Sun

“…However, existing deep learning-based ship monitoring studies primarily focus on minimizing the discrepancy between predicted and true labels during model training. This approach, unfortunately, restricts the model to learning only from labeled ship samples within the training set, limiting its capacity to recognize new and unseen ship categories. …”
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CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060 [version 2; peer review: 1 approved, 2 approved with reservations] by Jianchu Xu, Robert J. Zomer, Antonio Trabucco, Donatella Spano

“…Within the context of projected significant change in the near- and medium-term, the “Future_Global_AI_PET Database” provides a set of data projections and tools available for a variety of scientific and practical applications, illustrating trends and magnitude of predicted climatic and eco-hydrological impacts on terrestrial ecosystems. …”
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