Identification and Characterization of Families That Are Positively Deviant for Childhood Obesity in a Latino Population: A Case-Control Study by Byron A. Foster, Christian A. Aquino, Sharol Mejia, Barbara J. Turner, Arvind Singhal

“…Positive deviance, inspired by the science of complexity, is an approach that examines what allows certain individuals to succeed despite being predicted to fail. This study is aimed at identifying and defining positive deviants for early childhood obesity. …”
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Identification of GBN5 as a molecular biomarker of pan-cancer species by integrated multi-omics analysis by Qian Guo, Xinxin Zhong, Zihan Dang, Baiquan Zhang, Zixin Yang

“…More importantly, GBN5 has an important role in predicting drug sensitivity. We have also developed effective targeted drugs against GBN5. …”
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Stress buffering effects of physical activity in adolescents: the moderating role of physical activity attitudes by Pingping Liu

“…The present study focuses on whether adolescent stress events predict stress symptoms, whether physical activity buffers stress, and whether this stress-buffering effect is enhanced when attitudes toward physical activity are positive. …”
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Overcoming dietary complexity in type 2 diabetes: influencing factors and coping strategies by Yingying Tang, Dongmei Yang

“…Conclusions 46.10% of patients with T2DM exhibited suboptimal dietary adherence, with age, gender, education, income, and diabetes duration significantly predicting compliance. It is imperative for healthcare providers to devise individualized intervention strategies that incorporate these pivotal factors to enhance dietary adherence in patients with T2DM.…”
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Archived Cytogenetic Cell Pellets Used to Detect a BCR::ABL1 Driver Mutation Eight Years before Disease Presentation by Ramakrishnan Sasi, Michelle Spruill, Peter L. Perrotta

“…Though modeling studies predict this latency period is no more than ten years, it is still unclear how long it can be. …”
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Cycloplegic Effects on the Cylindrical Components of the Refraction by Athar Zareei, Milad Abdolahian, Shahram Bamdad

“…It is important to predict which astigmatic patients require separate refraction for near vision. …”
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Comprehensive analysis of ceRNA Networks in UCEC: Prognostic and therapeutic implications. by Li Fan, Mengqiu Lan, Xiaohua Wei, Lili Wei, Liuhong Yang, Liuying Nong, Jiajia Wei, Jingjing Li, Wenjie Huang

“…Key molecules were screened using LASSO regression, and a ceRNA network was constructed by predicting lncRNA-miRNA and miRNA-mRNA interaction, which were visualized with Cytoscape. …”
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Modeling of magnetic vestibular stimulation experienced during high-field clinical MRI by Ismael Arán-Tapia, Vicente Pérez-Muñuzuri, Alberto P. Muñuzuri, Andrés Soto-Varela, Jorge Otero-Millan, Dale C. Roberts, Bryan K. Ward

“…Results Our model accurately replicates observed nystagmus patterns, predicting slow-phase eye velocities that match experimental data. …”
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Landscape composition and orchard management effects on bat assemblages and bat foraging activity in apple crops by Marcos Miñarro, Daniel García

“…Landscape gradients led into predictable variations of bat foraging activity, suggesting a potential persistence of pest control services even in landscapes with limited seminatural habitat cover. …”
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Enhancing misogyny detection in bilingual texts using explainable AI and multilingual fine-tuned transformers by Ehtesham Hashmi, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Mohib Ullah

“…By implementing Local Interpretable Model-agnostic Explanations (LIME), we further elucidate the rationale behind the model’s predictions, enhancing understanding of its decision-making process.…”
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Spherical implantable collamer lens with postoperative adjunctive LASIK in the treatment of high compound hyperopic astigmatism by Daniel Q. Li, Mathieu Gauvin, Guillermo Rocha, Pierre Trottier, Louis Racine, Avi Wallerstein

“…We obtained near-to-emmetropia SEQ postoperatively (mean − 0.03 ± 0.43D), and the scatterplot of attempted versus achieved refractive correction revealed a predictable procedure (R2 = 0.89). 93.8% and 100% of eyes achieved target SEQ within 0.75 and 1.00 D. 87.5% and 100% of eyes were within 0.50 and 0.75 D of intended plano cylinder. …”
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Correction factors for prey size estimation from PenguCams by Owen Dabkowski, Ursula Ellenberg, Thomas Mattern, Klemens Pütz, Pablo Garcia Borboroglu

“…Linear equations modelled from correction factors at tested distances help predict correction factors between tested distances and, therefore, enable a wider application of this research. …”
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The Mediation Roles of Coping Modalities on the Relationship Between Stress and Quality of Life Among Jordanian Nurses by Wafa’a Ta’an, Yasin Yasin, Mohammed M. Al-Hammouri, Majd Aljabali, Diana Jaradat, Mohammad Suliman, Mohammed Albashtawy, Islam Oweidat, Yazid Al-Hamarneh

“…Nurses’ stress levels and coping modalities can predict QOL with a superior effect of PFC compared with EFC. …”
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Prognostic Value of Combining Apelin-12 and Estimated Glomerular Filtration Rate in Patients with ST-Segment Elevation Myocardial Infarction by Yue Liu, Huasong Xia, Meng Li, Yi Chen, Yanqing Wu

“…The combination of apelin-12 and eGFR (area under the ROC curve (AUC), 0.699) enhanced the predictive value for MACE compared with either apelin-12 (AUC, 0.617) or eGFR (AUC, 0.596) alone. …”
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Temperate phage-antibiotic synergy is widespread—extending to Pseudomonas—but varies by phage, host strain, and antibiotic pairing by Rabia Fatima, Alexander P. Hynes

“…Here, working with clinical isolates of Pseudomonas and phages from these isolates, we highlight the broad applicability of this synergy—across a variety of mechanisms but also highlight the limitations of predicting the phage, host, and antibiotic combinations that will synergize.…”
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Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka by Helani Perera, Shalinda Fernando, Miyuru B. Gunathilake, T. A. J. G. Sirisena, Upaka Rathnayake

“…The availability of accurate spatiotemporal rainfall data is of utmost importance for reliable predictions from hydroclimatological studies. Challenges and limitations faced due to the absence of dense rain gauge (RG) networks are seen especially in the developing countries. …”
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Study of different thermal management systems for traction batteries to obtain vehicle lightweighting by Giulia Sandrini, Daniel Chindamo, Marco Gadola, Andrea Candela, Paolo Magri

“…The simulations showed that the air-cooled system leads to greater lightweighting, but it makes the battery cells work far from 20 °C (optimal operating temperature) and therefore it could lead to greater battery cell degradation and its field of application must be limited to vehicles operating in fleets, with predictable mission; this can be overcome by using an appropriate PCM-based cooling system, stearyl alcohol. …”
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Blood-based biomarkers in patients with non-small cell lung cancer treated with immune checkpoint blockade by Yo-Ting Tsai, Jeffrey Schlom, Renee N. Donahue

“…Integration of multiple blood-based biomarkers into comprehensive panels or algorithms also has the potential to enhance predictive accuracy. Further research aimed at longitudinal monitoring of circulating biomarkers is also crucial to comprehend immune dynamics and resistance mechanisms and should be used alongside tissue-based methods that interrogate the tumor microenvironment to guide treatment decisions and may inform on the development of novel therapeutic strategies. …”
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Structural basis for the interaction between the Drosophila RTK Sevenless (dROS1) and the GPCR BOSS by Jianan Zhang, Yuko Tsutsui, Hengyi Li, Tongqing Li, Yueyue Wang, Salma Laraki, Sofia Alarcon-Frias, Steven E. Stayrook, Daryl E. Klein

“…Our mutagenesis studies, coupled with AlphaFold complex predictions, support a binding interaction mediated by a hydrophobic interaction and beta-strand augmentation between these regions. …”
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Single-View Depth Estimation: Advancing 3D Scene Interpretation With One Lens by Kavitha Dhanushkodi, Akila Bala, Neelam Chaplot

“…In contrast, this method leverages convolutional neural networks (CNNs) trained on large-scale datasets containing ground truth depth information to predict the relative depth of objects in a scene and visualize it in a 3D perspective. …”
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