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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Microbiological hazards associated with the use of water in the post‐harvest handling and processing operations of fresh and frozen fruits, vegetables and herbs (ffFVH). Part 2 – A... by EFSA Panel on Biological Hazards (BIOHAZ), Ana Allende, Avelino Alvarez‐Ordóñez, Valeria Bortolaia, Sara Bover‐Cid, Alessandra De Cesare, Wietske Dohmen, Laurent Guillier, Lieve Herman, Liesbeth Jacxsens, Lapo Mughini‐Gras, Maarten Nauta, Jakob Ottoson, Luisa Peixe, Fernando Perez‐Rodriguez, Panagiotis Skandamis, Elisabetta Suffredini, Jen Banach, Bin Zhou, Maria Teresa daSilva Felício, Laura Martino, Winy Messens, Angela Botteon

“…Testing alternative model structures and collecting data about operational conditions of handling and/or processing operations, microbial dynamics and the magnitude of the product‐specific protective effect on microorganisms are recommended to improve the application of the model.…”
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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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The Role of Genetics in Human Oral Health: A Systematic–Narrative Review by Anita Joy-Thomas, Zarna Lalwani, Leticia Guajardo, John Valenza, Walid D. Fakhouri

“…<b>Background/Objectives</b>: An individual’s genetic makeup influences their organ development, orofacial structures, and overall health. Though many studies have been conducted to determine the inheritance of oral diseases and conditions, there is a lack of comprehensive research classifying these disorders based on the genetic and environmental etiology. …”
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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

“…Unlike transformers, RetNets overcome this time complexity bottleneck by processing data in parallel during training, and recurrently during inference. …”
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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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Genome-wide characterization and expression analysis of the CONSTANS-like gene family of Juglans mandshurica Maxim by Jingwen Wu, Mengmeng Zhang, Yue Gao, Shuhan Li, Ruoxue Jia, Lijie Zhang

“…Phylogenetic analysis indicates that the JmCOLs proteins can be divided into three subgroups, with gene structures and motif compositions varying among these subgroups. …”
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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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Semiconductor Wafer Flatness and Thickness Measurement Using Frequency Scanning Interferometry Technology by Weisheng Cheng, Zexiao Li, Xuanzong Wu, Shuangxiong Yin, Bo Zhang, Xiaodong Zhang

“…To this end, this paper proposes a high-precision facet reconstruction method for SiC/Si structures, which combines harmonic spectral domain decomposition, refractive index gradient constraints, and partitioning optimization strategy, and introduces interferometric signal “oversampling” and weighted fusion of multiple sets of data to effectively suppress higher-order harmonic interferences, and to enhance the accuracy of phase resolution. …”
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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

“…This study proposes a deep learning-based approach employing Long Short-Term Memory (LSTM) neural networks to predict household energy usage based on power consumption data from common appliances, such as lamps, fans, air conditioners, televisions, and computers. …”
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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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