Psychometric Properties of a Neuropsychological Assessment Scale for Diagnosing Alzheimer's Disease in the Illiterate and Low-Educated Subjects in Iran by Ameneh Ahmadi, Maryam Noroozian, Mohsen Kachooei, Zahra Hooshyari, Aram Golsokhan

“…Once the questionnaire was confirmed to be clear, appropriate, and consistently presented, it was administered to a purposive sample of 250 patients selected based on the study's specific inclusion criteria. …”
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Scenario Simulation of Ecosystem Services Based on Land Use/Land Cover Change in the Bailong River Basin, in China by Shuangying Li, Yanyan Zhou, Dongxia Yue, Zhongling Guo, Zhi Li

“…The findings facilitate the sustainable and balanced development of diverse ESs and offer theoretical and technical insights for devising spatial regulation policies and ecosystem-based management strategies.…”
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CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup by K. Punitha, G. Sivapriya, T. Jayachitra

“…They are particularly powerful for tasks involving data recognition, classification, and analysis due to their ability to automatically and adaptively learn spatial hierarchies of features. This research presents a unique machine learning model based fault diagnosis and detection method for a 33 KW solar PV system at P.S.R. …”
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Long-Term Snow Cover Change in the Qilian Mountains (1986–2024): A High-Resolution Landsat-Based Analysis by Enwei Huang, Guofeng Zhu, Yuhao Wang, Rui Li, Yuxin Miao, Xiaoyu Qi, Qingyang Wang, Yinying Jiao, Qinqin Wang, Ling Zhao

“…A dual adaptive cloud masking strategy and spatial interpolation techniques were employed to effectively address cloud contamination and data gaps prevalent in mountainous regions. …”
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Inequalities in Mild Cognitive Impairment Risk Among Chinese Middle-Aged and Older Adults: Insights from an Integrated Learning Model by Bi S, Guo D, Tan H, Chen Y, Li G

“…Mediation analysis revealed that education influenced MCI risk indirectly through health insurance, social interaction, physical activity, and depression.Conclusion: We present an interpretable, data-driven framework for predicting MCI risk while uncovering key inequality factors, particularly the pivotal role of education. …”
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A unified framework for post-disaster hazard and structural assessment data collection across hazards and infrastructure typologies by Mohammad S. Alam, Tracy Kijewski-Correa, David B. Roueche, Khalid M. Mosalam, David O. Prevatt, Ian Robertson

“…The framework has been implemented as an open-access mobile application, the Structural Extreme Events Reconnaissance Network’s “StEER Unified App”, hosted on Fulcrum, a commercial data collection platform by Spatial Networks Inc. Along with unification of data fields, preliminary mapping rules were developed to map out existing hazard-specific damage rating scales (e.g., wind, surge/flood, rainwater ingress) to the European Macroseismic Scale (EMS-98) compatible unified damage scale, enabling consolidation of global damage ratings into a common data field, facilitating the unification of multiple hazards within a single app. …”
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Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning by Masashige Shiga, Masao Sorai, Tetsuya Morishita, Masaatsu Aichi, Naoki Nishiyama, Takashi Fujii

“…To enhance the interpretability of the machine learning approach, we proposed a patch-based analysis to identify local characteristic textural patterns that contribute significantly to the classification of individual rock samples. By visualizing the spatial distribution of these patterns and quantifying their characteristics, we gained insights into the microstructural differences between rock samples, providing an effective tool for interpreting the classification results and understanding the underlying factors that differentiate various rock types.…”
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Transformaciones industriales y expansión urbana en el Partido del Pilar. La ineficiencia del capitalismo en el proceso de construcción de la Región Metropolitana de Buenos Aires... by LUIS BRIANO, FEDERICO FRITZSCHE

“…In this sense, capitalism inefficiency generates socio-territorial inequalities (and inefficiencies) that became more complex the analysis, when adding spatial dimension. For it, we will refer briefly to the process of urban construction and expansion in a periurban district of Buenos Aires, according to the study of the role that some main actors play: state, land developers and industrial capital. …”
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Cognitive characteristics and ischemic prognosis of quantitative white matter hyperintensities in adult moyamoya disease by Ziqi Liu, Xiaokuan Hao, Qi Duan, Chaoran Shen, Haojin Lyu, Junze Zhang, Jing Gu, Shihao He, Yanru Wang, Xilong Wang, Zhenyu Zhou, Ning Ma, Ran Duan, Xinlin Zhou, Xin Lou, Rong Wang

“…Results MMD patients present decreases in intelligence (P = 0.000), spatial working memory (P = 0.011), verbal working memory 1 (P = 0.000) and 2 (P = 0.000), mental rotation (P = 0.008), and executive inhibition (P = 0.011). …”
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Using satellite-based Sun-induced chlorophyll fluorescence and spectral reflectance for improving terrestrial CO2 flux estimates of India by Aparnna Ravi, Dhanyalekshmi Pillai, Christoph Gerbig, Stephen Sitch, Sönke Zaehle, Vishnu Thilakan, Chandra Sekhar Jha, Thara Anna Mathew

“…We follow a data-driven approach, which simulates spatial and temporal distributions of gross primary productivity (GPP), net ecosystem exchange (NEE), and ecosystem respiration (R _eco ). …”
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Multi-Source Rainfall Data Assimilation based on Broad Learning System over Yunnan Province by Yuanyuan ZHOU, Xiaohui YANG, Tiangui XIAO

“…The accurate estimation of rainfall is always a topic of concern， given its pivotal role in accurately predicting rainfall-related disasters.This study proposed a multi-source rainfall assimilation technology based on a broad learning system （BLS） to improve the accuracy of rainfall estimation.Yunnan Province， located in China's low-latitude plateau， was chosen as the geographical area of interest to establish a multi-source rainfall assimilation model within this region.In particular， the model utilizes five satellite-derived rainfall datasets （3B42V7， IMERG， GSMaP， CMORPH， PERSIANN） and the latitude and longitude information as the source data， and the ground-based rainfall gauge data serves as the reference data.The time span of all the datasets is from April 2014 to December 2017.A leave-one-year-out cross-validation （LOYOCV） method was applied to verify the performance of the established assimilation model， where statistical indicators including Pearson’s correlation coefficient （CC）， root-mean square error （RMSE）， mean absolute error （MAE）， Nash efficiency coefficient （NSE） and Kling-Gupta efficiency （KGE） were used to quantify the accuracy of assimilation rainfall at different spatiotemporal scales.Concurrently， assimilation models based on support vector machine （SVM） and deep neural network （DNN） were established to highlight the accuracy and efficiency of the BLS， respectively.Additionally， the effectiveness of the latitude and longitude information within the proposed assimilation model was examined.The results show that the daily average statistical index of assimilation rainfall based on BLS is better than that of the other five satellite-based products in LOYOCV.At the temporal scale， the proposed assimilation technique effectively reflects the temporal variations observed in gauge-recorded rainfall.Moreover， it can accurately estimate the rainfall amounts during rainstorms in Yunnan Province throughout 2017.It is worth noting that the rainfall data generated through the BLS method outperforms the CMORPH product （the most accurate one among the five satellite-derived rainfall products） in both rainy and dry seasons （May to October and November to April of next year， respectively）.At the spatial scale， BLS-based rainfall results in most areas of Yunnan Province showed higher CC and NSE as well as smaller RMSE and MAE than the satellite-based products.The evaluation of the assimilation models based on BLS， SVM， and DNN highlights that the BLS exhibits superior functional mapping capabilities compared to SVM and demands fewer computational resources than DNN.It is reasonable to conclude that the multi-source rainfall assimilation approach utilizing the BLS while incorporating latitude and longitude information can enhance the precision of rainfall estimates in Yunnan Province.The proposed method presents practical significance in multi-source rainfall data assimilation.…”
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The Role of PLIN3 in Prognosis and Tumor-Associated Macrophage Infiltration: A Pan-Cancer Analysis by Yang S, Liu H, Zheng Y, Chu H, Lu Z, Yuan J, Xu S

“…The association between PLIN3 expression and the presence of M2 macrophages was validated through analyses incorporating bulk and single-cell transcriptomics, spatial transcriptomics, and multicolor fluorescence staining techniques. …”
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Process-based modeling of solar-induced chlorophyll fluorescence with VISIT-SIF version 1.0 by T. Miyauchi, T. Miyauchi, M. Saito, H. M. Noda, A. Ito, T. Kato, T. Matsunaga

“…<p>Satellite retrievals of solar-induced chlorophyll fluorescence (SIF) can provide opportunities to improve our understanding of terrestrial ecosystem dynamics and the carbon cycle at the global scale. Here, we present a new biogeochemical process-based carbon and nitrogen cycle model for representing SIF retrievals (VISIT-SIF version 1.0: Vegetation Integrative SImulator for Trace gases and SIF) acquired by the Greenhouse gases Observing SATellite (GOSAT) with an hourly time step and a spatial resolution of approximately 0.31 <span class="inline-formula">×</span> 0.31°. …”
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New Tools in Heavy Metal Detection: Synthesis, Spectroscopic, and Quantum Chemical Characterization of Selected Water-Soluble Styryl Derivatives of Quinoline and 1,10-Phenanthrolin... by Jacek E. Nycz, Jolanta Kolińska, Nataliya Karaush-Karmazin, Tieqiao Chen, Maria Książek, Joachim Kusz

“…A series of water-soluble molecules based on 8-isopropyl-2-methyl-5-nitroquinoline and 1,10-phenanthroline core were designed by introducing a π-conjugated bridge, vinyl unit –CH=CH–. We present the selective conversion of methyl groups located on the C2 and C9 positions in the constitution of selected quinoline or 1,10-phenanthroline derivatives, respectively, into vinyl (or styryl) products by applying Perkin condensation. …”
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A Dual-Broadband Dual-Polarized Patch Antenna Array Antenna-in-Package (AiP) Module on Asymmetric Substrate Stack-up by Dohyun Kim, Gyoungdeuk Kim, Kyungho Lim, Chanwoo Yang, Chisang You, Sangkil Kim

“…This study presents a broadband, dual-polarized stacked patch antenna array module developed for mobile Antenna-in-Package (AiP) applications utilizing an asymmetric substrate stack-up. …”
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Implementing deep soil and dynamic root uptake in Noah-MP (v4.5): impact on Amazon dry-season transpiration by C. A. Bieri, F. Dominguez, G. Miguez-Macho, Y. Fan

“…These features include groundwater dynamics, a sufficiently deep soil column, dynamic root water uptake (RWU), and a fine model spatial resolution (<span class="inline-formula">&lt;5</span> km).…”
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Historical snow measurements in the central and southern Apennine Mountains: climatology, variability, and trend by V. Capozzi, F. Serrapica, A. Rocco, C. Annella, C. Annella, G. Budillon

“…<p>This work presents an analysis of historical snow precipitation data collected in the period 1951–2001 in central and southern Apennines (Italy), an area scarcely investigated so far. …”
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Interleukin‐6 transcripts up‐regulation in lymph nodes from unicentric and multicentric Castleman disease by Marco Lucioni, Gaia Morello, Caterina Cristinelli, Sara Fraticelli, Giuseppe Neri, Erica Travaglino, Marco Minetto, Francesca Antoci, Paolo Libretti, Marcello Gambacorta, Luca Arcaini, Claudio Tripodo, Marco Paulli

“…Abstract Introduction Castleman disease (CD) represents a spectrum of heterogeneous lymphoproliferative disorders sharing peculiar histopathological features, clinically subdivided into unicentric CD (UCD) and multicentric CD (MCD) and presenting with variable inflammatory symptoms. Interleukin (IL)‐6 and other cytokines play a major role in mediating CD inflammatory manifestations. …”
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GAN-based image prediction of maize growth across varieties and developmental stages by Xinyi Wang, Shilong Liu, Zhihao Wang, Zedong Geng, Weikun Li, Chengxiu Wu, Yingjie Xiao, Wanneng Yang, Lingfeng Duan

“…Results This article proposed a visualized growth prediction method based on an improved Pix2PixHD network, incorporating spatial attention mechanisms, an improved loss function, and a modified dropout strategy to enhance prediction accuracy and visual fidelity. …”
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Watching live performances enhances subjective and physiological emotional responses compared to viewing the same performance on screen by Damien Gabriel, Julie Devos, Sandrine Chapuis, Alexandre Comte, Pierre-Edouard Billot

“…Twenty-seven participants (19 females, 8 males, aged 21–67) attended a 5-minute 30-second performance combining dance, singing, and guitar, presented either live or as a video projection. Both formats were viewed under identical spatial conditions, with the screen positioned where the live performance took place. …”
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