A Machine Learning Approach to Adapt Local Land Use Planning to Climate Change by Julia Forster, Stefan Bindreiter, Birthe Uhlhorn, Verena Radinger-Peer, Alexandra Jiricka-Pürrer

“…Integrating machine learning (ML) into systemic planning increases awareness of impacts by providing decision-makers with predictive analysis and risk mitigation tools. ML can predict future scenarios beyond rigid linear models, identifying patterns, trends, and correlations within complex systems and depicting hidden relationships. …”
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Neurocognitive Deficits in Individuals at Ultra-High-Risk for Psychosis: An Overview of Systematic Reviews by Farnaz Asadiof, Mona Zamanpour, Ali Fawzi Al-Hussainy, Alhan Abd Al-Hassan Shalal, Mohammed Ubaid, Zinab Aluquaily, Seyed Hamidreza Hashemian

“…., PubMed, Scopus, and Google Scholar using predefined keywords related to predictive neurocognitive markers and ultra-high risk psychosis. …”
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Histopathological Diagnostic Discordance between Punch Biopsies and Final Diagnostic Excisions of Cutaneous Squamous Cell Carcinoma: Analysis of 737 Cases by Katherine Hopkins, Åsa Ingvar, Johan Palmgren, Valdis Thorhallsdottir, Kari Nielsen, Karim Saleh

“…Tumour diameter > 20mm was highly predictive of cutaneous squamous cell carcinoma (positive predictive value 91.1%). …”
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Benchmarking protein language models for protein crystallization by Raghvendra Mall, Rahul Kaushik, Zachary A. Martinez, Matt W. Thomson, Filippo Castiglione

“…Several in silico deep learning methods have been developed to overcome the high attrition rate, cost of experiments and extensive trial-and-error settings, for predicting the crystallization propensities of proteins based on their sequences. …”
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Salivary Lactate Dehydrogenase in Relationship to the Severity of Hypoxic-Ischemic Encephalopathy among Newborn Infants by Hend Elmoursi, Mohamed Abdalla, Bader Eldin Mesbah, Abdelmoneim Khashana

“…This study aimed at evaluating the predictive value of the salivary lactate dehydrogenase level as a potential predictor of hypoxic-ischemic encephalopathy for newborns. …”
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Sex estimation in a Chilean population by mandibular analysis in cone beam computed tomography images by F. Ceballos, N.F. Deana, N. Alves

“…Multivariate discriminant function analysis, both directly and by steps, was used to obtain the predictive value of the mandible including all the measurements. …”
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Analyzing the semileptonic and nonleptonic B c → J/ψ, η c decays by Aritra Biswas, Soumitra Nandi, Shantanu Sahoo

“…Using our results, we have predicted the branching fractions of a few non-leptonic decays of B c → J/ψ or η c and other light mesons. …”
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Developing a composite-based constitutive model for municipal solid waste by M.R. Yousefi, A. Noorzad, M.J. Mahmoodi

“…The model proved to be capable of simulating and predicting the municipal solid waste behavior under various loading conditions efficiently. …”
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Longitudinal relationship between internet addiction and psychotic-like experiences among Chinese college students by Pu Peng, Hongyu Zou

“…Cross-lagged panel analysis revealed that IA at baseline predicted later PLEs (β = 0.082, p = 0.043), whereas baseline PLEs did not predict IA (β = 0.049, p = 0.255). …”
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Characteristics and prognostic values of abdominal aortic branches calcification in hemodialysis patients by Wen Shi, Xiaotong Xie, Yu Zhao, Yuqiu Liu, Xiaoliang Zhang

“…Internal iliac artery and mesenteric artery calcification showed the greatest predictive values for mortality. Internal iliac artery calcification and serum albumin level were independently associated with mortality in hemodialysis patients (p < .001). …”
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The Impact of Critical Listening and Critical Reading on Critical Thinking by Yasemin Baki

“…Critical listening has a direct high level effect on critical thinking and predicts it at a significant level. Critical listening has a direct high-level effect on critical reading and predicts it at a significant level, while explaining 65% of the total variance related to critical reading. …”
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Efficient and accurate methodologies for MCS-based probabilistic analysis of tunnel face stability by Bin Li, Yong-Kai Shen, Yuan-Sheng Lan

“…Backpropagation Neural Network (BP) is utilized to construct a regression metamodel to predict the safety factors of each sample; the samples that are predicted to be near the limit state will be further evaluated by an adaptive classification metamodel constructed by the combination of K-Nearest Neighbor (KNN) and Support Vector Machine (SVM). …”
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Interleukin-34 as a Robust Predictor of No-Reflow Phenomenon in ST-Elevation Myocardial Infarction: Insights into Inflammatory Mechanisms and Clinical Implications by Mehdi Karasu, Hasan Ata Bolayır, İbrahim Aktaş

“…ROC analysis showed IL-34’s significant predictive value (area under the curve: 0.972, p<0.001). …”
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Time series analysis of leptospirosis incidence for forecasting in the Baltic countries using the ARIMA model by Mykola Butkevych, Dmytro Chumachenko

“…This study aimed to develop an ARIMA-based forecasting model for predicting leptospirosis incidence across Estonia, Latvia, and Lithuania, where current disease data are limited and variable. …”
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Characterizing the Crosstalk of NCAPG with Tumor Microenvironment and Tumor Stemness in Stomach Adenocarcinoma by Zheng Xiang, Genlan Cha, Yihao Wang, Jikai Gao, Jianguang Jia

“…An immune risk scoring model related to NCAPG expression and immune score was constructed which showed a favorable performance in predicting STAD prognosis as well as predicting the response to immunotherapy. …”
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Microwave Drying Modelling of Stevia rebaudiana Leaves Using Artificial Neural Network and Its Effect on Color and Biochemical Attributes by Baldev Singh Kalsi, Sandhya Singh, Mohammed Shafiq Alam, Surekha Bhatia

“…The result showed that the ANN model with 15 neurons in 1 hidden layer could predict the MR with a high R2 value (0.999). Thus, ANN modelling can successfully be used as an effective tool for predicting drying kinetics of samples. …”
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Trust: an essential component in nursing crisis leadership; a hybrid concept analysis by Karin Hugelius

“…Results The analysis suggested that the fundamentals of trust included a perceived intention to do good, the capabilities of both the leader and the team and the perceived predictability of the leader’s behaviour. Trust was found to be built on a perceived forward-looking direction, self-trust and the personal attributes of the leader, such as ethical conduct, the ability to predict the development of crises and an intention to take responsibility and be honest. …”
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Alternative disease management strategies for organic apple production in the United Kingdom by Lucas Alexander Shuttleworth

“…The challenge when using organic methods is results are often more variable and less predictable than when using conventional chemicals. …”
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Physiologically Based Pharmacokinetic Modeling of Cannabidiol, Delta‐9‐Tetrahydrocannabinol, and Their Metabolites in Healthy Adults After Administration by Multiple Routes by Lixuan Qian, Tao Zhang, Jean Dinh, Mary F. Paine, Zhu Zhou

“…For THC, 11‐OH‐THC, and 11‐COOH‐THC, 100%, 100%, and 83% of the predicted AUC values were within two‐fold, respectively, of the observed values; 100%, 92%, and 94% of the predicted Cmax values, respectively, were within two‐fold of the observed values. …”
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Medium- to long-term functional outcomes of artcure diffusional patch therapy for lumbar disc herniation: which herniation is more likely to require surgery? by Zekeriya Ersin Çelen, Furkan Hanege, Soner Sarı, Bülent Özkurt

“…Herniations were graded using the Michigan State University (MSU) classification. The predictive factors for surgery need were analyzed with logistic regression analysis. …”
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