Review on operation control of cold thermal energy storage in cooling systems by Huan Wang, Baoshan Xie, Chuanchang Li

“…Two types of cold load predictions, parametric regression and artificial neural network method, are introduced. …”
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Coordination of preventive, emergency and restorative trading strategies under uncertain sequential extreme weather events by Xuemei Dai, Jing Zhou, Xu Zhang, Kaifeng Zhang, Wei Feng

“…First, a two-layer graph neural network (GNN) is employed to predict the probability distribution of system outages caused by SEWEs. …”
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Advanced Air Quality Forecasting Using an Enhanced Temporal Attention-Driven Graph Convolutional Long Short-Term Memory Model With Seasonal-Trend Decomposition by Yuvaraja Boddu, A. Manimaran, B. Arunkumar, M. Sucharitha, J. Suresh Babu

“…The model demonstrates significant improvements in predictive accuracy, achieving reductions of 10-15% in error metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) compared to traditional forecasting methods. …”
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Assessment of High-resolution Local Emissions and Land-use in Air Quality Forecasting at an Urban, Coastal, Desert Environment by Christos Fountoukis, Yasir Mohieldeen, Luis Pomares, Ivan Gladich, Azhar Siddique, Adam Skillern, Mohammed A. Ayoub

“…We analyze the impact of a local anthropogenic emission inventory (EI) on model predictions, compared to the most commonly used EDGAR global emissions. …”
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Parchment Glutamine Index (PQI): A novel method to estimate glutamine deamidation levels in parchment collagen obtained from low-quality MALDI-TOF data by Nair, Bharath, Palomo, Ismael Rodríguez, Markussen, Bo, Wiuf, Carsten, Fiddyment, Sarah, Collins, Matthew James

“…In addition to reliably predicting PQI, we observed interesting patterns pertaining to parchment production. …”
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Severe COVID-19 disease is associated with genetic factors affecting plasma ACE2 receptor and CRP concentrations by Verena Vogi, David Haschka, Lukas Forer, Simon Schwendinger, Verena Petzer, Stefan Coassin, Ivan Tancevski, Thomas Sonnweber, Judith Löffler-Ragg, Elisabeth Puchhammer-Stöckl, Marianne Graninger, Dominik Wolf, Florian Kronenberg, Johannes Zschocke, Emina Jukic, Günter Weiss

“…In our cohort of 156 patients of European ancestry, two overlapping Polygenic Scores (PGS) predicting a genetic predisposition to basal CRP concentrations were significantly different between non-severe and severe COVID-19 cases and were associated with less severe COVID-19 outcomes. …”
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Automatic Detection and Classification of Eye Diseases from Retinal Images Using Deep Learning: A Comprehensive Research on the ODIR Dataset by Asadi Srinivasulu, Clement Varaprasad Karu, G Sreenivasulu, Gayathri R

“…The methodologies under consideration encompass machine learning, filtering-based, and model-based approaches, with performance assessment based on a range of metrics, including true positive rate, true negative rate, positive predictive value, negative predictive value, false discovery rate, Matthews's correlation coefficient, and accuracy. …”
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Development of Multimorbidity Indexes Based on Common Mental Health Conditions by Junko Kose, Emmanuelle Kesse-Guyot, Pauline Duquenne, Serge Hercberg, Serge Hercberg, Pilar Galan, Mathilde Touvier, Valentina A. Andreeva, Léopold K. Fezeu

“…Future prospective studies could investigate their predictive potential regarding outcomes such as medication use, healthcare utilization, and quality of life.…”
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A normal electrocardiogram indicates a better prognosis in patients with moderate to very severe chronic obstructive pulmonary disease by Martina Kulirova, Miroslav Solar, Michal Kopecky, Barbora Novotna, Marek Plutinsky, Kristian Brat, Libor Fila, Petr Vanik, Pavlina Musilova, Tomas Dvorak, Petr Safranek, Michal Svoboda, Vladimir Koblizek

“…Abstract The role of electrocardiography (ECG) in predicting mortality in patients with chronic obstructive pulmonary disease (COPD) has not been sufficiently established. …”
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A ribosome-associating chaperone mediates GTP-driven vectorial folding of nascent eEF1A by Ibrahim M. Sabbarini, Dvir Reif, Kibum Park, Alexander J. McQuown, Anjali R. Nelliat, Charlotte Trejtnar, Volker Dötsch, Eugene I. Shakhnovich, Andrew W. Murray, Vladimir Denic

“…Here, we use AlphaPulldown to identify Ypl225w (also known as Chp1, Chaperone 1 for eEF1A) as a conserved yeast protein predicted to stabilize the N-terminal, GTP-binding (G) domain of eEF1A against its misfolding propensity, as predicted by computational simulations and validated by microscopy analysis of ypl225wΔ cells. …”
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Development and functional validation of a disulfidoptosis-related gene prognostic model for lung adenocarcinoma based on bioinformatics and experimental validation by Tao Shen, Tao Shen, Zhuming Lu, Sisi Yang, Dongxi Zhang, Yongwen Ke, Zhuowen Chen, Jinqiang Wu, Jinqiang Wu, Weidong Wu

“…The risk score independently predicted LUAD prognosis and correlated with immunotherapy responses. …”
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Linking fire behaviour and its ecological effects to plant traits, using FRaME in R by Philip Zylstra

“…FRaME modelling predicted ecological effects such as the breaking of seed dormancy, scorch and the girdling of different tree strata, consistent with observed effects and providing insights into treatment efficacy that were not captured by existing assumptions. …”
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Transcriptome-proteome integration analysis identifies elevated expression of LARP7 promoting the tumorigenesis and development of gastrointestinal stromal tumors by Heng Zheng, Yong Pan

“…Furthermore, LARP7 was elevated in imatinib-resistant GISTs, with some other drugs predicted to aid in therapy. LARP7 knockdown resulted in reduced proliferation and migration of GIST-T1 and GIST-882 cells. …”
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Context modulates evidence accumulation in split-second handball penalty decisions by Henrietta Weinberg, Florian Müller, Rouwen Cañal-Bruland

“…Results showed that contextual information systematically affected the drift rate, indicating faster evidence accumulation when context information predicts the subsequent action. Vice versa, incongruent context information resulted in slower evidence accumulation. …”
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Stochastic Diffusive Modeling of CO₂ Emissions with Population and Energy Dynamics by Muhammad Shoaib Arif, Kamaleldin Abodayeh, Hisham M. Al-Khawar, Yasir Nawaz

“…The objectives are to enhance the predictive accuracy of existing models by incorporating diffusion effects and stochastic variability, offering insights for sustainable environmental policies. …”
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Evaluation of the Diagnostic Performance of Physical Examination Combined with Transvaginal Ultrasonography in Patients with Endometriosis by Talha Tiryaki, Tolga Karacan, Seyma Yesiralioglu, Eser Ozyurek, Huseyin Kiyak, Engin Oral

“…Therefore, we hypothesized that transvaginal ultrasonography combined with physical examinations performed by physicians could predict endometriosis better in patients with symptoms suggestive of endometriosis compared with asymptomatic patients at presentation. …”
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Assessment of Land Use and Land Cover Changes in Afi River Forest Reserve Cross River State, Nigeria by C. I. Duru, U. D. Chima, C. Fredrick

“…A supervised classification method was employed to classify and map LULC types and future changes up to 2052 predicted. Six distinct land use types-dense vegetation, farmland/sparse vegetation, built-up area, bare land, rock, and water bodies were identified. …”
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High-Risk Genotypes Associated with Poor Response to Controlled Ovarian Stimulation in Indian Women by Anuradha Udumudi, K. Chaitra Lava, Vandana Hegde

“…Aims: This study aimed to establish a genomic basis for COS in IVF in the Indian population and to understand its predictive value. Settings and Design: The patient samples were collected at both Hegde Fertility Centre and GeneTech laboratory. …”
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Introducing a Markov Chain-Based Energy Awareness Approach for Cloud Data Center Virtual Machine Dynamic Management by Xinbin Huang, Yu Huang, Cecılıa. Mercado

“…This research highlights the importance of combining predictive analytics with robust optimization techniques to improve cloud resource management. …”
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Genomic assessment of targets implicated in Rhipicephalus microplus acaricide resistance. by Christina Meiring, Michel Labuschagne

“…Globally, the prevalence of Rhipicephalus microplus resistance to various acaricides has increased, and there is a need for the identification of molecular markers that can predict phenotypic resistance. These markers could serve as alternatives to the larval packet test (LPT), enabling rapid and accurate monitoring of resistance in these ticks against multiple acaricides. …”
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