Future studies of the Crisis Increases surface Temperature and Reduces the Climatic Comfort of Citizens in Tehran Metropolis by Hamideh Afsharmanesh, zahra hejazizadeh, Bohloul Alijani

“…Climate predictions have been made in global, regional and local simulation, and climatic parameters have changed in terms of trends and models in climatology, futures studies are less visible in literature and climatology literature therefore environmental planning and futures analysis are an attempt to look at the long-term future in the field of climatology. …”
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Exploring Deep Learning–Based Models for Sociocultural African Food Recognition System by Grace Ataguba, Mona Alhasani, James Daniel, Emeka Ogbuju, Rita Orji

“…The model was further deployed in a food recognition app. To evaluate the predictive ability of the app, we recruited 16 participants who were interviewed and subsequently used the app in the wild for 7 days. …”
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Forecasting Stock Prices of Companies Producing Solar Panels Using Machine Learning Methods by Zaffar A. Shaikh, Andrey Kraikin, Alexey Mikhaylov, Gabor Pinter

“…The direction of improving the accuracy of neural network predictions is promising for further research.…”
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Genetic analysis of pathways regulated by the von Hippel-Lindau tumor suppressor in Caenorhabditis elegans. by Tammie Bishop, Kah Weng Lau, Andrew C R Epstein, Stuart K Kim, Min Jiang, Delia O'Rourke, Christopher W Pugh, Jonathan M Gleadle, Martin S Taylor, Jonathan Hodgkin, Peter J Ratcliffe

“…Genomic clustering, predicted functional similarities, and a common pattern of dysregulation in both vhl-1 worms and a set of mutants (dpy-18, let-268, gon-1, mig-17, and unc-6), with different defects in extracellular matrix formation, suggest that dysregulation of these genes reflects a discrete HIF-1-independent function of VHL-1 that is connected with extracellular matrix function.…”
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Application of the Finite Element Method Using Cohesive Elements to Model the Effect of Temperature, Rock Mechanical Properties, Fluid Injection Rate, and Fluid Properties on the D... by Son Tung Pham, Ba Ngoc Anh Nguyen

“…This study can be applied in real life problems to predict fracture’s geometry generated in well stimulations.…”
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Presentation and analysis of the Geotechnical Coastal Vulnerability Index and validation of its application to coastal erosion problems by Vasileios Boumpoulis, Nikolaos Depountis, Athanassios Dimas, George Papatheodorou

“…For the verification of the GCVI predictions, a validation approach is applied using two different variables (rate of Historical shoreline movement and rate of Bed level change). …”
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A dynamic dropout self-distillation method for object segmentation by Lei Chen, Tieyong Cao, Yunfei Zheng, Yang Wang, Bo Zhang, Jibin Yang

“…Firstly, the pixels where there is a significant difference between the teacher and student models are found according to the predicted probabilities. And these pixels are defined as difficult-to-learn pixel for the student model. …”
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Brain Midline Shift Measurement and Its Automation: A Review of Techniques and Algorithms by Chun-Chih Liao, Ya-Fang Chen, Furen Xiao

“…We review studies that used the MLS to predict outcomes of patients with intracranial mass. …”
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Application of Dynamic Navigation, Virtual Reality, and Universal Robot in Dental Implantology by Ashwini Abhay Bhalerao, Ashraf Farouk Ayoub, Abdul Wahab Usman

“…This innovative integration of DN, VR, and UR systems represents a paradigm shift in dental implantology, offering clinicians unprecedented precision, efficiency, and predictability. By harnessing the synergies of these cutting-edge technologies, dental professionals can elevate the standard of care, redefine treatment protocols, and ultimately enhance patient satisfaction and oral health outcomes.…”
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Molecular Modeling and Simulation Analysis of Antimicrobial Photodynamic Therapy Potential for Control of COVID-19 by Maryam Pourhajibagher

“…The results of a detailed computational investigation revealed that SARS-CoV-2-SG is most similar to 6VXX_A, with 100% query cover and identity. The predicted structure of SARS-CoV-2-SG displayed that it is a protein with a positive charge and random coil dominates other secondary structures located outside the viral cell. …”
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At the Borderline of Public and Private Law: The Restitution of Cultural Property Held in Public Collections in Hungary by Vanda Vadász, Viktória Verebélyi

“…We claim that the lack of predictability and certainty of the latter authority’s proceedings may lead to human rights issues. …”
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Ecological drift during colonization drives within-host and between-host heterogeneity in an animal-associated symbiont. by Jason Z Chen, Zeeyong Kwong, Nicole M Gerardo, Nic M Vega

“…We modulate symbiont bottleneck size and inoculum composition during colonization to demonstrate the significance of ecological drift, the noisy fluctuations in community composition due to demographic stochasticity. Consistent with predictions from the neutral theory of biodiversity, we found that ecological drift alone can account for heterogeneity in symbiont community composition between hosts, even when 2 strains are nearly genetically identical. …”
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Determinants of self-care behaviors in patients with knee osteoarthritis based on the theory of planned behavior in Iran by Mohammad Ali Morowatisharifabad, Sakineh Gerayllo, Zohreh Karimiankakolaki, Ali Dehghan, Hossein Soleymani Salehabadi, Hossein Fallahzadeh

“…Following data analysis, the constructs of the TPB predicted 8% of the variance of intention and 16.2% of the variance of OA self-care behaviors. …”
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The relationship between DNA fragmentation and the intensity of morphologically abnormal human spermatozoa by Mercedes González-Martínez, Pascual Sánchez-Martín, Carmen López-Fernández, Stephen D. Johnston, Jaime Gosálvez

“…ROC analysis showed a moderate but significant predictive value for SDF to differentiate patients with different levels of teratozoospemia. …”
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Identification of subsidence areas using radar interferometry (Case study: Damaneh plain) by shokrollah kiani, ahmad mazidi, Seyed Zein Al-Abedin Hosseini

“…In the continuation of the research, using the logistic regression model, the subsidence trend in the study area was predicted and a subsidence probability map was prepared and created as a dependent variable for the logistic regression model. …”
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Spatio-temporal Distribution Characteristics and Future Trend Analysis of Extreme Climate Indices in Nenjiang River Basin over the Past 60 Years by GONG Xiao, DAI Changlei, LI Shuling, XIAO Yue

“…Additionally, this paper utilizes the NEX-GDDP-CMIP6 dataset to predict future climate change trends in the basin. …”
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Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“…**Conclusions:** Utilization of machine learning to predict NASH allows for wider recognition, timely intervention, and targeted treatments to improve or mitigate disease progression and could be used as an initial screening tool.…”
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Forecasting the Number of Visitors of the Museums and Ruins by Using Time Series Analysis: The Case of Turkey by Mustafa Agah Tekindal, Semanur Öztemiz

“…Research data was analysed under the framework of Auto Regressive Integrated Moving Average (ARIMA) time series analysis in order to predict the future numbers of visitors to museums and ruins. …”
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Evaluation of novel NaOH/activated carbon/zeolite biocomposite as an efficient adsorbent for oilfield produced water treatment by Eghe Amenze Oyedoh, Onyedikachi Praise Igbokwe

“…The ANN model demonstrated superior predictive accuracy (R² = 0.9984, MSE = 0.4004, RMSE = 0.6328) compared to RSM (R² = 0.9976, MSE = 0.5635, RMSE = 0.7507). …”
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Irreversibility and Sensitivity analysis of MHD squeezing various shaped nanofluid flow between parallel permeable disks by Abdul Awal, Md. Sarwar Alam

“…Regression analysis predicts that the present method is significant. Moreover, sensitivity analysis indicates that the Brinkman number is more influential than the porosity parameter and nanoparticles volume fraction. …”
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