The upper Neretva River discontinuum: gradients of taxonomic and functional diversity of benthic invertebrates in a wild Balkan river by Edurne Estévez, Davina Dietrich, Simone Sahler, Fabian Vassanelli, Sara Widera, Jan Martini, Wolfgang Wanek, Gabriel Singer

“…Most of the functional metrics (maximum and average trophic position and isotopic richness and evenness) showed pronounced discontinuities in their spatial patterns, which did not follow the predictions of the River Continuum Concept. These results highlight the uniqueness of this section of the Neretva, where natural discontinuities structure macroinvertebrate communities in ways and by mechanisms not captured by smooth ecological concepts. …”
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Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

“…This optimization aims to boost the model’s predictive precision. Finally, the IPSO-ELM algorithm is subjected to rigorous assessment via simulation, confirming its performance of accuracy and efficiency. …”
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Investigating factors influencing the donation intentions and volunteering intentions for the 2023 Turkey earthquake victims by Omar Paolo Benito, Yogi Tri Prasetyo, Jui-Hao Liao, Zachariah John A. Belmonte, Maela Madel L. Cahigas, Reny Nadlifatin, Ma. Janice J. Gumasing

“…These perceptions influenced perceived behavioral control, which strongly predicted intentions to donate and volunteer. The media played a critical role in shaping attitudes, while religious influence and financial capacity impacted subjective norms, both of which further contributed to these intentions. …”
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Modeling and Simulation of Process-Machine Interaction in Grinding of Cemented Carbide Indexable Inserts by Wei Feng, Bin Yao, BinQiang Chen, DongSheng Zhang, XiangLei Zhang, ZhiHuang Shen

“…This paper provides an integrated grinding model combining the machine and process models, which can be used to predict process-machine interactions in grinding process.…”
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Host dispersal relaxes selective pressures in rafting microbiomes and triggers successional changes by William S. Pearman, Grant A. Duffy, Robert O. Smith, Kim I. Currie, Neil J. Gemmell, Sergio E. Morales, Ceridwen I. Fraser

“…These findings highlight the role of environmental predictability in triggering major community successional changes and challenge the importance of host selection in determining the microbiome.…”
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Association between endostatin and mortality in patients with acute dyspnoea, with or without congestive heart failure: a single-centre, prospective, observational study by Axel C Carlsson, Caroline Heijl, Ardavan M Khoshnood, Alexander Yaghoubi, Per Erik Wändell, Torgny Wessman

“…Further studies are needed in different settings to assess the predictive value of endostatins in patients with CHF.…”
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In silico data mining of large-scale databases for the virtual screening of human interleukin-2 inhibitors by Halim Sobia Ahsan, Zaheer-Ul-Haq, Khan Ajmal, Al-Rawahi Ahmed, Al-Harrasi Ahmed

“…Surflex-Dock and FRED were the best in predicting the native pose in its top-ranking position. …”
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Decreased mental health care utilization following a psychosocial intervention in caregivers of hematopoietic stem cell transplant patients by Rita Ouseph, Calvin Croy, Crystal Natvig, Teresa Simoneau, Mark L. Laudenslager

“…At six months caregivers in TAU had predicted marginal probabilities of mental health services utilization over 10 times as high as caregivers in PEPRR (18.1% <em>vs</em> 1.5%). …”
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Melt quality induced failure of electrical conductor (EC) grade aluminum wires by Khaliq A., Rafiq M.A., Ali H.T., Ahmed F., Mehmood S., Grandfielde J., Ranjha S.A.

“…Thermodynamic analyses of molten aluminum interaction with refractories was also carried out using FactSage at 710°C to predict the stable phases. The SEM/EDX analyses has revealed the inclusions in aluminum matrix. …”
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Applications of Behavioral Economics and Neuroeconomics in Mental Health by Barno Sayfutdinovna Abdullaeva, Diyorjon Abdullaev, Laylo Djuraeva, Dilfuza Karimullaevna Sagdullaeva, Azam Kholikov

“…Neuroeconomics contributes by identifying neural markers predictive of treatment response and relapse risk, paving the way for personalized treatment approaches. …”
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Metabolic Blockade-Based Genome Mining of <i>Malbranchea circinata</i> SDU050: Discovery of Diverse Secondary Metabolites by Hu Yang, Xiaowei Luo, Zhuo Shang, Kunlong Li, Jian Cai, Yingying Chen, Longchao Xin, Jianhua Ju

“…Furthermore, bioinformatic analysis of the BGC associated with the isocoumarin sclerin (<b>1</b>) enabled the deduction of its biosynthetic pathway based on gene function predictions. Bioactivity assays demonstrated that sclerin (<b>1</b>) and (−)-mycousnine (<b>10</b>) exhibited weak antibacterial activity against Gram-positive bacteria such as <i>Staphylococcus aureus</i>, methicillin-resistant <i>Staphylococcus aureus</i> (MRSA), and <i>Bacillus subtilis</i>. …”
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Genome analysis uncovers an inverse correlation between alterations in P21‐activated kinases and patient survival across multiple cancer types by Jessie M. Vo, Linh M. La, Ananda V. Anderson, Abdulaziz H. Alanazi, Payaningal R. Somanath

“…While P21‐activated kinases (PAKs) play a key role in cancer progression, their potential as predictive markers for metastasis and therapeutic targets has not been fully explored. …”
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Naringin ameliorates H2O2-induced oxidative damage in cells and prolongs the lifespan of female Drosophila melanogaster via the insulin signaling pathway by Xiaomei Du, Kexin Wang, Xiaoyan Sang, Xiangxing Meng, Jiao Xie, Tianxin Wang, Xiaozhi Liu, Qun Huang, Nan Zhang, Hao Wang

“…Furthermore, the mutant stocks assays and computer molecular simulation results further indicated that naringin delayed aging by inhibiting the insulin signaling (IIS) pathway and activating the autophagy pathway, which was consistent with the result of network pharmacological predictions.…”
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An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients by Krishnaraj Chadaga, Varada Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth, Devadas Bhat, K. S. Swathi, Radhika Kamath

“…Six heterogeneous searching techniques have been used to perform hyperparameter tuning and optimize predictions. These are Bayesian Optimization, Hybrid Bat Algorithm, Hybrid Self-adaptive Bat Algorithm, Firefly Algorithm, Grid Search, and Randomized Search. …”
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A New Model for Nowcasting the Aviation Radiation Environment With Comparisons to In Situ Measurements During GLEs by A. D. P. Hands, F. Lei, C. S. Davis, B. J. Clewer, C. S. Dyer, K. A. Ryden

“…The Model for Atmospheric Ionising Radiation Effects (MAIRE+) uses multiple data sources to characterize primary GCR and GLE particle spectra and combines these with precalculated geomagnetic and atmospheric response matrices to predict particle fluxes from ground level to 20 km altitude across the entire globe. …”
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Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study by Eric Frechette, Keegan Guidolin, Ayman Seyam, Yun-Hee Choi, Sarah Jones, J. Andrew McClure, Jennifer Winick-Ng, Blayne Welk, Richard A. Malthaner

“…The results obtained from the PSP algorithm demonstrated a significantly higher sensitivity (97% versus 81%, p=0.038) and positive predictive value (87% versus 46%, p<0.001) in patients under 40 years of age than in older patients. …”
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Classification and Regression Trees on Aggregate Data Modeling: An Application in Acute Myocardial Infarction by C. Quantin, L. Billard, M. Touati, N. Andreu, Y. Cottin, M. Zeller, F. Afonso, G. Battaglia, D. Seck, G. Le Teuff, E. Diday

“…Cardiologists are interested in determining whether the type of hospital pathway followed by a patient is predictive of survival. The study objective was to determine whether accounting for hospital pathways in the selection of prognostic factors of one-year survival after acute myocardial infarction (AMI) provided a more informative analysis than that obtained by the use of a standard regression tree analysis (CART method). …”
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Health Status and Social Networks as Predictors of Resilience in Older Adults Residing in Rural and Remote Environments by Christine McKibbin, Aaron Lee, Bernard A. Steinman, Catherine Carrico, Katelynn Bourassa, Andrea Slosser

“…Family networks (p=0.024) and mental health status (p<0.001) significantly predicted resilience. Mental health status moderated the relationship of family (p=0.004) and friend (p=0.021) networks with resilience. …”
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Turbulent drifts of impurity ions as an explanation for anomalous radial transport in the far-SOL of DIII-D by S.A. Zamperini, T.N. Bernard, D.L Rudakov, J.A Boedo

“…This requires reliable predictions of impurity transport from the scrape-off layer (SOL) into the core, beyond the traditional ‘anomalous’ diffusion approach. …”
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Parental Challenges and the Performance of the Primary Pupils Under Modular Distance Learning Delivery: An Input to Proposed Parental Orientation Guide by Ma Christina O Bauyon, Lustina P Lapie, Consorcia S Tan, Lerma P Buenvenida, Marcial M Bandoy

“…The personal challenges predict singly and in combination with learning in a virtual setting the performance of the learners. …”
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