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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Pneumococcal vaccination in rheumatic diseases: 10 years of application experience at the V.A. Nasonova Research Institute of Rheumatology by B. S. Belov, N. V. Muravyeva, G. M. Tarasova, M. M. Baranova, M. S. Sergeeva, M. V. Cherkasova, Zh. G. Verizhnivkova, E. L. Nasonov

“…One of the leading places in the structure of serious CI in patients with IIRD is occupied by pneumonia, which is a weighty argument in favor of the vaccination of these patients from pneumococcal infection. …”
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Fabrication of an Original Transparent PVA/Gelatin Hydrogel: In Vitro Antimicrobial Activity against Skin Pathogens by Naila Imtiaz, Muhammad Bilal Khan Niazi, Fehmida Fasim, Barkat Ali Khan, Syeda Asma Bano, Ghulam Mujtaba Shah, Malik Badshah, Farid Menaa, Bushra Uzair

“…Taken together, the experimental data indicated that HGE might be a promising wound dressing.…”
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Psychometric properties of the High Five Inventory in university students in Ecuador by Jessica V. Quito-Calle, Jessica V. Quito-Calle, Alejandro César Cosentino, Dalila M. González-González, Luis F. Guerrero-Vásquez, Luis F. Guerrero-Vásquez

“…A confirmatory factor analysis (CFA) was performed to assess the inventory's factorial structure. The sample consisted of 1,007 students (403 women, 39.9%) from various faculties at Salesiana Polytechnic University in Ecuador. …”
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Fuel detection in forest environments training deep learners with smartphone imagery by F. Pirotti, F. Pirotti, A. Carmelo, E. Kutchartt, E. Kutchartt, E. Kutchartt

“…Unmixing mixtures in images is one of the challenges for extracting information from data. Forest environments are particularly complex due to the relatively irregular structure of trees, shrubs and low vegetation. …”
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Research on the Characteristics of Wind， Temperature， and Humidity in the Lower Atmosphere at Zhongshan Station in Antarctica in Summer by Yang HUA, Hong WANG, Yubin LI, Qizhen SUN, Rui WANG, Zhiqiu GAO

“…This study examines observational data of the lower atmosphere during the summer seasons at the Antarctic Zhongshan Station from November 2018 to February 2019 and December 2019.It explores the profile characteristics and diurnal variations of meteorological elements， as well as inversions and jets at the station.The wind analysis reveals that the station experiences predominant winds from the east to northeast directions.Wind speeds increase sharply with altitude， peaking at approximately 1.2 kilometers in the morning and 0.8 kilometers in the afternoon， with lower speeds observed later in the day， possibly due to the development of downslope winds and enhanced turbulent mixing from thermal convection.Low-level jets are mostly concentrated in the speed range of 8~12 m·s-1 and at altitudes between 800~1600 m， with multiple layers of jets identified.Temperature observations show the presence of a superadiabatic layer near the surface， with potential temperature gradually rising above this layer up to 3000 m， indicating a stable atmospheric structure.Further analysis of inversion layers demonstrates significant diurnal variations， with thicker and closer-to-ground layers in the morning and thinner but more intense layers in the afternoon， influenced by solar radiation and turbulence intensity.Multiple inversion layers corresponding to multiple jets are also observed， highlighting the connection between inversions and wind shear induced by jets.Humidity analysis indicates a decrease in specific humidity with altitude， particularly pronounced below 250 m.Specific humidity levels are lower in the afternoon compared to the morning up to 250 m.The study of humidity stratification reveals that the heights of maximum gradient changes in specific humidity coincide with the heights of inversion layers and low-level jets.…”
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