Adaptive Hosting Capacity Forecasting in Distribution Networks with Distributed Energy Resources by Md Tariqul Islam, M. Jahangir Hossain, Md. Ahasan Habib, Muhammad Ahsan Zamee

“…The sensitivity gate dynamically adjusts the model’s response based on external conditions, allowing for improved capture of input variability and temporal characteristics of the distribution network and DER. Additionally, a feedback mechanism within the model provides inputs from previous cell states into the forget gate, allowing for refined control over input selection and enhancing forecasting precision. …”
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Efficient approximate Bayesian inference for quantifying uncertainty in multiscale animal movement models by Majaliwa M. Masolele, J. Grant C. Hopcraft, Colin J. Torney

“…It is becoming increasingly important for wildlife managers and conservation ecologists to understand which resources are selected or avoided by an animal and how to best predict future spatial distributions of animal populations in the long term. …”
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The Visual Callosal Connection: A Connection Like Any Other? by Kerstin E. Schmidt

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Climatic variables determining <i>Rhododendron</i> sister taxa distributions and distributional overlaps in the Himalayas by Madan Krishna Suwal, Ole Reidar Vetaas

“…(ii) How large is the geographic overlap in current and future distributions? (iii) Is it likely that the species are able to track their niches in the future? …”
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Estimation Model and Spatio-Temporal Analysis of Carbon Emissions from Energy Consumption with NPP-VIIRS-like Nighttime Light Images: A Case Study in the Pearl River Delta Urban Ag... by Mengru Song, Yanjun Wang, Yongshun Han, Yiye Ji

“…Firstly, in order to estimate the carbon emissions resulting from energy consumption, a fixed effects model was built using data on province energy consumption and NPP-VIIRS-like nighttime lighting data. Secondly, the PRD urban agglomeration was selected as the case study area to estimate the carbon emissions from 2012 to 2020 and predict the carbon emissions from 2021 to 2023. …”
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Genetic Differentiation and Selection Signatures Revealed by Two Successive Genomic Selection of Large Yellow Croaker Against Parasite Cryptocaryon irritans by Ji Zhao, Jiaying Wang, Qiaozhen Ke, Junjia Zeng, Yin Li, Zhou Jiang, Fei Pu, Tao Zhou, Ning Li, Peng Xu

“…Through genome‐wide selection signature scanning, we identified five positive selection regions (PSRs) distributed across four chromosomes. …”
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Mixed strategies and natural selection in resource allocation by Irina Kareva, Faina Berezovkaya, Georgy Karev

“…We use the model to address two major questions, namely, whether either strategy is more likely to be selected for as a result of natural selection, and, if one allows for the possibility of resource over-consumption, whether either strategy is preferable for avoiding population collapse due to resource exhaustion. …”
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Spatial Distribution of Domestic Violence in Kermanshah City by zhila ghazvineh, bagher saroukhani, Alieh shekarbigi

“…This research studies the spatial distribution of domestic violence in Kermanshah. Firstly, using the lived experience, the types of marriage were identified and defined. …”
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Assessing disparities in cancer resources distribution in Mexico by Elysse Bautista-Gonzalez, Andrés Quintero Leyra, Teresa Verenice Munoz Rocha, Heber Tomás Reyes-García, Enrique Soto-Perez-de-Celis, Alejandra Palafox Parrilla, Alejandro Mohar Betancourt, Richard Sullivan

“…Limited availability of diagnostic and therapeutic infrastructure leads to delays in diagnosis and treatment. Countries like Mexico, should undertake comprehensive assessments of infrastructure and human resources available for cancer, including its quantification and geolocation, to understand the service gaps. …”
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Phylogeny, ethnomedicinal use and the distribution of phytoestrogens in the Fabaceae by Kongkidakorn Thaweepanyaporn, Jamie B. Thompson, Nandini Vasudevan, Julie A. Hawkins

“…Lastly, the “aphrodisiac-fertility hot node” lineages without previously known estrogenic flavonoids were identified.ResultsWe showed species in aphrodisiac-fertility hot nodes were more likely to contain estrogenic flavonoids (21% of species), a major group of phytoestrogens, compared to Fabaceae in the phylogeny (11% of species). …”
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Assessment of the reliability and validity of visual analog scale for abdominal pain among selected school students from selected schools at Kanyakumari district by M. S. Praythiesh Bruce, A. Surekha, R. Karnaboopathy, K. U. Suresh Balan, Vijay K. Chavada, Vedapriya, Abhijit V. Boratne, Prateek Bobhate, T. K. Raja

“…A multistage sampling method, followed by simple random sampling, was employed to select participants. A total of 200 students participated after accounting for a 10% loss to follow-up. …”
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Sparse sensing data–based participant selection for people finding by Ye Tian, Zhirong Tang, Jian Ma

“…Besides traditional influence, like Quality of Information contribution, candidate’s spatial proximity to the lost people is crucial in participant selection procedure. …”
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A Context-Driven Worker Selection Framework for Crowd-Sensing by Jiangtao Wang, Yasha Wang, Sumi Helal, Daqing Zhang

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Justifying the selection of a neural network linguistic classifier by Olessia Barkovska, Kseniia Voropaieva, Oleksandr Ruskikh

“…These aspects include classification accuracy, training and prediction time, model size, data distribution, and overall ease of use. By systematically assessing these attributes, this study aims to provide valuable information about the strengths and weaknesses of each model and enable researchers and practitioners to make informed decisions when selecting a neural network classifier for text classification tasks. …”
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Justifying the selection of a neural network linguistic classifier by Олеся Барковська, Ксенія Воропаєва, Олександр Руських

“…These aspects include classification accuracy, training and prediction time, model size, data distribution, and overall ease of use. By systematically assessing these attributes, this study aims to provide valuable information about the strengths and weaknesses of each model and enable researchers and practitioners to make informed decisions when selecting a neural network classifier for text classification tasks. …”
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Functional brain networks develop from a "local to distributed" organization. by Damien A Fair, Alexander L Cohen, Jonathan D Power, Nico U F Dosenbach, Jessica A Church, Francis M Miezin, Bradley L Schlaggar, Steven E Petersen

“…In sum, over development, the organization of multiple functional networks shifts from a local anatomical emphasis in children to a more "distributed" architecture in young adults. We argue that this "local to distributed" developmental characterization has important implications for understanding the development of neural systems underlying cognition. …”
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Gene and genotype frequencies of immunoglobulin-like natural killer cell receptors in the population of Samara region by D. Yu. Klyuchnikov, Yu. Yu. Teterina, O. V. Tyumina, I. L. Davydkin

“…The using of killer-cell immunoglobulin-like receptor (KIR) composition data is of increasing interest in clinical practice to select an optimal donor for allogeneic hematopoietic stem cell transplantation for treatment of hematologic malignancies to reduce graft versus host disease and the risk of relapse. …”
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Lek Habitat Selection by Sympatric Manakin Species in Northwestern Ecuador by Erin Sheehy, H. Luke Anderson, Luis Carrasco, Jorge Olivo, Domingo Cabrera, Nelson Gonzalez, Renata Ribeiro, Jordan Karubian

“…ABSTRACT Habitat selection plays a fundamental role in determining community structure and species coexistence, although the role played by sexual selection in shaping settlement patterns is less well understood. …”
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Unsupervised selective labeling for semi-supervised industrial defect detection by Jian Ge, Qin Qin, Shaojing Song, Jinhua Jiang, Zhiwei Shen

“…This work proposes the unsupervised spectral clustering labeling (USCL) method to optimize SSL for industrial challenges like defect variability, rarity, and complex distributions. …”
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Effect of Variety and Site on the Allometry Distribution of Seed Cotton Composition by Lei Shi, Zenghui Sun, Lirong He, Guobin Liu, Chutao Liang

“…At the site scale, lint yield and seed weight generally aligned with the allometry distribution model. For example, the allometry distribution index fluctuated year-to-year in sites like Shihezi, Tahe, and Aksu, while interannual fluctuations were smaller at sites like Kuqa and Shache. …”
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