Exploring the health‐related decision‐making experiences of people with chronic kidney disease and their caregivers: A qualitative study by Shena Gazaway, Orlando Gutierrez, Rachel Wells, Tamara Nix‐Parker, Claretha Lyas, Shawona Daniel, Katina Lang‐Lindsey, Tara Bryant, Richard Knight, James N. Odom

“…Decision‐making was made difficult due to lack of information, complex co‐morbidities, and poor resource utilization. However, the structure and nature of the medical appointment, supportive caregivers, and resources served to remove challenges. …”
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Integrating species functional and architectural traits for improving crown width prediction in subtropical multispecies forests using nonlinear hierarchical models by Canming He, Xianglin Tian, Hongxiang Wang

“…Effective CW models are well established for plantations and structurally simpler forests, yet their applicability to diverse, species-rich natural forests remains inadequate. …”
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Cyclic Fatigue Comparison of TruNatomy, Twisted File, and ProTaper Next Rotary Systems by Abdullah Mahmoud Riyahi, Amr Bashiri, Khalid Alshahrani, Saad Alshahrani, Hadi M. Alamri, Dina Al-Sudani

“…With its potential to preserve tooth structure, this file offers a good cyclic fatigue advantage. …”
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Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry by Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan Veerapaneni

“…Though this efficiency comes at the expense of decreased expressiveness relative to the transformer, we overcome this gap through training strategies that leverage the autoregressive structure of the model—namely, variational neural annealing. …”
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The Impact of Land Use Types on the Soil Erosion Resistance in the Arid Valley Region of Southwest China by Jinhuan Li, Shoujiang Liu, Dan Yang, Fei Suo, Yushou Yu, Zihao Wang, Qihua Liao

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Reclassification of Pterulaceae Corner (Basidiomycota: Agaricales) introducing the ant-associated genus Myrmecopterula gen. nov., Phaeopterula Henn. and the corticioid Radulomyceta... by Caio A. Leal-Dutra, Gareth W. Griffith, Maria Alice Neves, David J. McLaughlin, Esther G. McLaughlin, Lina A. Clasen, Bryn T. M. Dentinger

“…The other resupinate genera previously included in Pterulaceae, and which form basidiomes lacking cystidia and with monomitic hyphal structure (Radulomyces, Radulotubus and Aphanobasidium), are reclassified into Radulomycetaceae fam. nov. …”
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Research on the Influence of SST in Different Regions on the Interannual Variability of Winter Fog Days over Eastern China by Qisheng CEN, Peng LIU

“…Based on observational data， it is evident that fog occurrence in Eastern China is notably higher during winter compared to other months.Spatial analysis of climatological statistics reveals a distinct heterogeneity， dividing Eastern China into northern and southern regions based on fog day patterns.Furthermore， winter can be subdivided into early （November and December） and late （January and February） periods， characterized by varying trends in fog occurrence and interregional correlations.Examining the relationship between sea surface temperature （SST） and fog days across both southern and northern China throughout winter， significant influences emerge.During early winter， fog days in both regions are markedly impacted by SST anomalies in the tropical Pacific.Conversely， in late winter， while the north Atlantic SST exerts a considerable influence on fog days in northern China， southern China continues to be strongly affected by tropical Pacific SST.Analyzing atmospheric circulation patterns reveals distinct mechanisms driving fog occurrences in different seasons.In early winter， warm SST anomalies in the tropical Pacific drive northward movement of the Western North Pacific Subtropical High， resulting in anticyclonic anomalies over northern Japan and weakened Siberian High， leading to increased fog days in both southern and northern areas of Eastern China.Conversely， in late winter， weakened influence from the tropical Pacific shifts the anomalous southerly winds only over southern China， while the north Atlantic SST anomalies induce anomalous southeasterly winds over northern areas， enhancing moisture transport from the north Pacific， with relatively stable atmospheric structure， thus significantly increasing fog days over northern China.…”
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Evaluation of the Disinfection Efficacy of Er-YAG Laser Light on Single-Species Candida Biofilms: Systematic Review by Diana Dembicka-Mączka, Magdalena Gryka-Deszczyńska, Jacek Sitkiewicz, Aleksander Makara, Jakub Fiegler-Rudol, Rafał Wiench

“…In addition, laser treatment accelerates tissue regeneration and helps reduce the number of cases of reinfection, which is confirmed by the positive dynamics in clinical practice. Data analysis using confocal microscopy and microbiological seeding indicates a significant disruption of the biofilm structure and increased permeability to antimycotics after laser exposure. …”
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Innovation And Social Networks For Creating Social Value by Belen Suarez Lopez, Isabel Maria Santos Caetano, Antonio Vargas Alcaide

“…The research develops a theoretical framework to analyze how the organizational structure of social networks could influence the knowledge absorption capability and innovation; what is the influence of the social networks on creativity and innovation; and their role as drivers to create the social value. …”
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The mitogenome of Triatoma brasiliensis brasiliensis (Hemiptera: Reduviidae), the main Chagas disease vector in the semi-arid region of northeastern Brazil by Carlos E. Almeida, Lifeng Du, Jingwen Wang, Dayane Pires-Silva, Elaine Folly-Ramos, Myrian Harry, Cleber Galvão

“…Results The complete mitogenome spans 16,575 base pairs and includes 13 protein-coding genes, 22 transfer RNA genes, and two ribosomal RNA genes, consistent with the typical structure of insect mitochondrial genomes. The control region exhibited tandem and inverted repeats arranged in blocks, as observed for other Reduviidae. …”
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Multidetector-row Computed Tomography Analysis of the Radial Midpalmar Flap: A Retrospective Anatomical Study by Tien Linh Nguyen Doan, MD, PhD, Shimpei Ono, MD, PhD, Goh Akiyama, MD, PhD, Hoyu Cho, MD, Hiromitsu Hayashi, MD, PhD, Rei Ogawa, MD, PhD

“…We analyzed multidetector-row computed tomography angiograms of the radial midpalm of hands to more precisely characterize the 3-dimensional anatomical structure of the perforators in living patients. Methods:. …”
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Adsorptive removal of Pb2+ from wastewater using ZnO-Biochar nanocomposite by Hifsa Mudassar, Kiran Hina, Usman Ghani, Qadeer Afzaal, Anis Ali Shah, Shifa Shaffique, Hosam O. Elansary

“…Fourier transmission infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) were used to examine the functional groups and surface morphology of the ZnO-Biochar nanocomposite, respectively. The structure of ZnO-Biochar nanocomposite with rough and porous surface performed the positive association in surface adsorption of Pb²⁺ pollutant. …”
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Analysing the Spatial and Temporal Characteristics of Ecological Land Encroachment by Cropland Expansion and Its Drivers in Cambodia by Danni Su, Kun Yang, Zongqi Peng, Run Sun, Mingfeng Zhang, Lusha Ma, Jingcong Ma, Tao Li

“…The rapid expansion of cropland in Cambodia, the world’s seventh-largest rice exporter, has created an imbalance in land use structure. However, there is a lack of quantitative investigation of the loss of ecological land as a result of the expansion of cropland and its drivers. …”
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ThermalGS: Dynamic 3D Thermal Reconstruction with Gaussian Splatting by Yuxiang Liu, Xi Chen, Shen Yan, Zeyu Cui, Huaxin Xiao, Yu Liu, Maojun Zhang

“…To address these challenges, we propose a novel dynamic thermal 3D reconstruction method, named ThermalGS, based on 3D Gaussian Splatting (3DGS). ThermalGS employs a data-driven approach to directly learn both scene structure and dynamic thermal representation, using RGB and TIR images as input. …”
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Forecasting Residential Energy Consumption with the Use of Long Short-Term Memory Recurrent Neural Networks by Zurisaddai Severiche-Maury, Carlos Eduardo Uc-Rios, Wilson Arrubla-Hoyos, Dora Cama-Pinto, Juan Antonio Holgado-Terriza, Miguel Damas-Hermoso, Alejandro Cama-Pinto

“…The model comprises two interrelated submodels: one predicts the individual energy consumption and usage time of each device, while the other estimates the total energy consumption of connected appliances. This dual structure enhances accuracy by capturing both device-specific consumption patterns and overall household energy use, facilitating informed decision-making at multiple levels. …”
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Challenges in Interpreting ⁴⁰Ar/³⁹Ar Age Spectra: Clues from Hydrothermally Altered Alkali Feldspars by Yinzhi Wang, Liekun Yang, Wenbei Shi, Lin Wu, Fei Wang

“…K-feldspar sample JD-1K (122.12 ± 0.81 Ma) preserves magmatic sanidine characteristics (homogeneous composition, disordered monoclinic structure), while hydrothermally altered perthite JD-2K yields a flat plateau age of 99.83 ± 0.73 Ma (~20 Ma younger than coeval K-feldspar, biotite, and zircon samples). …”
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Aerial Images Segmentation with Graph Neural Network by A. V. Emelyanov, A. V. Emelyanov, V. A. Knyaz, V. A. Knyaz, V. V. Kniaz, V. V. Kniaz, S. Yu. Zheltov

“…The development of remote sensing platforms and sensors, as well as the improvement of remote data processing tools and methods, create new opportunities for automatic updating of maps. …”
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INFLUENCE OF ALVEOLAR BONE RESORPTION ON STRESS, DEFORMATION AND DISPLACEMENTS IN MANDIBULAR IMPLANT-SUPPORTED REMOVABLE HYBRID PROSTHESES: A FINITE ELEMENT STUDY by Cristian Drochioi, Petrica-Florin Sava, Stefan Gherasimescu, Norina Consuela Forna, Igor Blanaru, Victor Vlad Costan

“…As bone resorption increased, higher stress concentrations and mechanical demands were observed in the cortical and cancellous bone, at the implant–Ti bar interface, and within the acrylic saddle structure. These results emphasize the importance of preserving alveolar bone volume to maintain favorable stress distribution and prosthetic performance. …”
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EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection by Alanoud Al Mazroa, Majdy M. Eltahir, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K, Jaehyuk Cho

“…As such, our model uses an “atrous” convolution operation to extract multi-scale temporal information and a cascade network structure that progressively improves the attribute representations across layers. …”
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Spatial and Temporal Changes and Prediction of Habitat Quality in Key Ecological Function Area of Hu'nan Province by Zheng Yunyou, Liu Yanting, Yao Peng, Xie Xianjun, Zhang Guangjie, Deng Chuxiong

“…[Methods] The land use transfer matrix was obtained based on the land use change data of 2009, 2012, 2015, 2018 and 2021, and the spatial-temporal distribution characteristics of land use structure and habitat quality in Nanyue key ecological function area were analyzed and predicted by InVEST model and CA-Markov model. …”
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