Green Human Resource Management: Analyzing sustainable practices and organizational impact through a Word2Vec approach by Shoeb Ahmad, Uzma Javed, Chetan Sharma, Mohd Shuaib Siddiqui

“…Additionally, it emphasizes the need for policy development and global adoption of GHRM and other sustainable corporate practices to achieve sustainable development. …”
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Urban Land-use Features Mapping from LiDAR and Remote Sensing Images using Visual Transformer Network Model by Q. Yuan

“…With the rapid development of science and technology in the acceleration of urbanization, it is important to achieve efficient and accurate monitoring and mapping of urban features. …”
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Deep Learning Method for Wetland Segmentation in Unmanned Aerial Vehicle Multispectral Imagery by Pakezhamu Nuradili, Ji Zhou, Guiyun Zhou, Farid Melgani

“…This approach, along with the development of a comprehensive dataset that reflects the diversity of wetland environments and advances the utility of remote sensing technologies in ecological monitoring. …”
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Urban modelling experiences for the representation of the historical city in Holy Land by Sandro Parrinello, Francesca Picchio, Raffaella De Marco

“…In particular, the paper will present the model of a portion of San Giovanni of Acre, relating to the area of Al-Jazzar Mosque, for the analysis of the historical stratification of religious and urban environments; a portion of Jerusalem adjacent to the monumental walls, for which it was built an interactive platform for the fruition in AR of the survey database; and a portion of the historical center of Bethlehem, for which an analysis of the characteristics of the ahwash quarters and buildings is addressed, useful for a semantic decomposition of the urban structure functional to the creation of an intelligent model for the monitoring of structural risk.…”
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Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…In the neck, a multi-layer selective feature fusion pyramid (MS-FPN) is constructed to perform attention-based filtering on high-level semantic features and low-level spatial details, followed by feature enhancement via multiplication and global semantic refinement through residual connections. …”
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Fast Identification and Detection Algorithm for Maneuverable Unmanned Aircraft Based on Multimodal Data Fusion by Tian Luan, Shixiong Zhou, Yicheng Zhang, Weijun Pan

“…Building upon the YOLO v11 architecture, we develop an enhanced model incorporating four key innovations: (1) A dual-path RGB-IR fusion architecture that exploits complementary multi-modal data; (2) C3k2-DATB dynamic attention modules for enhanced feature extraction and semantic perception; (3) A bilevel routing attention mechanism with agent queries (BRSA) for precise target localization; (4) A semantic-detail injection (SDI) module coupled with windmill-shaped convolutional detection heads (PCHead) and Wasserstein Distance loss to expand receptive fields and accelerate convergence. …”
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MW‐SAM:Mangrove wetland remote sensing image segmentation network based on segment anything model by Yu Zhang, Xin Wang, Jingye Cai, Qun Yang

“…MW‐SAM provides a new technology for monitoring and protecting mangrove wetlands, and the constructed dataset will be made publicly available, which is expected to promote the development of mangrove wetland conservation efforts.…”
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Traceability, reproducibility and wiki-exploration for "à-la-carte" reconstructions of genome-scale metabolic models. by Méziane Aite, Marie Chevallier, Clémence Frioux, Camille Trottier, Jeanne Got, María Paz Cortés, Sebastián N Mendoza, Grégory Carrier, Olivier Dameron, Nicolas Guillaudeux, Mauricio Latorre, Nicolás Loira, Gabriel V Markov, Alejandro Maass, Anne Siegel

“…Improvements in this area have been accompanied by the development of some major platforms and databases, and an explosion of individual bioinformatics methods. …”
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Preface to Special Issue on Scientific Computing and Learning Analytics for Smart Healthcare Systems (Part II) by Chinmay Chakraborty, Sayonara Barbosa, Lalit Garg

“… This special issue introduces emerging intelligent healthcare technologies that incorporate big medical data, artificial intelligence, scientific computing, federated learning, bio-inspired computation, the Internet of Medical Things, security and privacy, semantic databases, etc. Health monitoring and diagnosis for the target structure of interest are achieved through the interpretation of collected data. …”
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Overlooked discrepancies in protocols undermine coastal restoration practices in China by Tian Xie, Zhonghua Ning, Baoshan Cui, Qiang He, Cong Chen, Zhenchang Zhu, Yujia Zhai, Guogui Chen, Qing Wang, Shanze Li, Junhong Bai, Christopher B. Craft, Tjeerd J. Bouma, Zhifeng Yang

“…Over 60% of executed restoration projects had no detailed technical standards to guide implementation, especially for severely degraded ecosystems. Development of these standards lagged significantly behind project implementation, was poorly enforced, and focused more on monitoring than guiding good restoration designs and adaptive management, likely undermining restoration performance. …”
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Updating methodological and source database of binominal denominations of introduced cultivars with elements of extrapolation by Н. В. Лещук, Н. П. Костенко, Н. В. Павлюк, В. А. Павлюк

“…The article discloses the meaning of botanical semantics, highlights practical appliance of binary scientific botanic nomenclature during plant varieties identification. …”
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CR-CLCD: A cross-regional cropland change detection framework with multi-view domain adaptation for high-resolution satellite imagery by Zhendong Sun, Xinyu Wang, Yanfei Zhong

“…Cropland non-agriculturalization (CNA) monitoring is a typical change detection (CD) problem based on remote sensing imagery, aimed at tracking cropland outflow changes, which holds significant importance for cropland protection and food security. …”
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TRANSFORMATION PROCESSES OF THE ASTYONYMS ON THE GEOGRAPHICAL MAP OF KAZAKHSTAN (LATE XIX - EARLY XXI CENTURIES) by T. I. Gerasimenko, D. Z. Iskaliyev

“…A new wave of transformation is one of the consequences of delimitation. Monitoring of this process is necessary for the development of optimal directions of regional and interstate policy. …”
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Automated detection and structuration of building and vegetation changes from LiDAR point clouds by A. Kharroubi, Z. Ballouch, Z. Ballouch, I. Jeddoub, R. Hajji, R. Billen

“…Accurate, up-to-date information on these changes is critical, particularly for national mapping agencies monitoring long-term urban development. This paper presents an automated methodology for detecting building and vegetation changes within urban environments using LiDAR point clouds, focusing on the city of Liège in Belgium. …”
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ALPD-Net: a wild licorice detection network based on UAV imagery by Jing Yang, Huaibin Qin, Jianguo Dai, Guoshun Zhang, Miaomiao Xu, Yuan Qin, Jinglong Liu

“…At the same time, a Progressive Feature Fusion Module (PFFM) is developed, where a weighted self-attention fusion strategy is employed to effectively merge detailed and semantic information from adjacent layers, thereby preventing information loss or mismatches.Results and discussionThe experimental results show that ALPD-Net achieves good detection accuracy in wild licorice identification, with precision 73.3%, recall 76.1%, and mean Average Precision at IoU=0.50 (mAP50) of 79.5%. …”
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An Analysis of the Vocational-Educational Problematics for Substantiating Production Specialist Competencies by V. E. Steinberg, L. V. Vakhidova, E. M. Gabitova

“…This education should be conducted by means of systematic identification and assessment of multi-dimensional regional and sectoral needs for trained personnel, projections of results of monitoring on educational programmes and development of means for the acquisition of the relevant skills. …”
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An Improved Backbone Fusion Neural Network for Orchard Extraction by Baiyu Dong, Ziqi Wang, Chongzhi Chen, Ke Wang, Jing Zhang

“…The monitoring and extraction of orchard planting information is of significant importance. …”
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應用智慧型家教系統於國小學童閱讀策略 教學之學習歷程研究 A Study on the Learning Process of Applying an Autotutoring System to Teach Reading Strategies to Elementary School Children... by 陳茹玲 Ju-Ling Chen, 曾厚強 Hou-Chiang Tseng, 連啟舜 Chi-Shun Lien, 蔡旻穎 Min-Ying Tsai, 宋曜廷 Yao-Ting Sung

“…First, researchers tend to rely on latent semantic analysis (LSA) techniques, which are less capable than neural networks in extracting semantic information. …”
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Alle radici del senso di Sé Proposte per uno studio sull’emergere della consapevolezza corporea nella prima infanzia by Alfonso Davide Di Sarno, Vania Costa, Rita Di Gennaro, Giuseppina Di Leva, Irene Fabbricino, Daniela Iennaco, Teresa Longobardi, Martina Messina, Enrico Moretto, Lucia Luciana Mosca

“…The study of the conscience and emerging of Self has always implied a “reduction”: the identity, is reduced to an artifact semantic linguistic/or a function of self monitoring. …”
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OKG-ConvGRU: A Domain Knowledge-Guided Remote Sensing Prediction Framework for Ocean Elements by Renhao Xiao, Yixiang Chen, Lizhi Miao, Jie Jiang, Donglin Zhang, Zhou Su

“…This study provides a scientific foundation and technical support for the precise monitoring and sustainable development of marine ecological environments.…”
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