Communication, Motivation, And Exemplarity: Building Performance Effectiveness Through A Family-Oriented Leadership Style by Nurma Puspitasari, Rissa Ayustia

“…This leadership style is characterized by transparent and constructive communication, strong exemplary behavior from leaders, and motivational approaches that foster a conducive and productive work environment. …”
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Physically non-cloneable arbiter-type function with non-linear path pairs by A. A. Ivaniuk, A. Y. Shamyna

“…Physically unclonable functions (PUFs) are basic physical cryptographical primitives, providing to solve tasks such as unclonable identification, digital device authentication and copyright authentication, true random sequence generation, etc. …”
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USS-Net: A neural network-based model for assisting flight route scheduling. by Yinlei Cheng, Qingfu Li

“…These results demonstrate that USS-Net performs effectively in assisting multi-aircraft parallel route scheduling tasks.…”
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Experiences of Newly Graduated Nurses at Al-Baha Hospitals by Faisal Mohamed A. Alzahrani, Omar Abdulaziz Y. Alghamdi, Ahmed Waleed A. Alghamdi, Majed Khaled B. Alghamdi, Saad Mohammed A., Tariq Ahmed Saeed Alghamdi, Osama Alzahrani, Waled A.M. Ahmed

“…Although they feel confident communicating with physicians and delegating tasks, they struggle to prioritize and organize patient care needs. …”
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GRE²-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning by Quanjun Li, Weixuan Li, Xiya Zheng, Junhua Zhou, Wenming Zhong, Xuhang Chen, Chao Long

“…Graph representation learning aims to preserve graph topology when mapping nodes to vector representations, enabling downstream tasks like node classification and community detection. …”
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Neurocognitive functioning during adolescence: Spanish validation of the Penn Computerized Neurocognitive Battery by Xacobe Fernández‐García, Félix Inchausti, Alicia Pérez‐Albéniz, Javier Ortuño‐Sierra, Raquel Falcó, Eduardo Fonseca‐Pedrero

“…The literature links (dys)functions in these areas with psycho(patho)logical constructs, but evidence is scarce among Spanish‐speaking youth. …”
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Software refactoring prediction evaluation method based on deep learning models by Yichi ZHANG, Yang ZHANG, Yanlei LI, Kun ZHENG, Wei LIU

“…The CNN model is efficient for software refactoring prediction evaluation, which provides reference for future utilization of deep learning models in assisting with completing refactoring recommendation tasks.…”
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SpectralEarth: Training Hyperspectral Foundation Models at Scale by Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiao Xiang Zhu

“…Experimental results support the versatility of our models and their generalizability across different tasks and sensors. We also highlight computational efficiency during model fine-tuning.…”
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Unpacking student engagement and its mediating role in predicting the relationship between self-determination and academic satisfaction among undergraduate students in higher educa... by Yalalem Assefa, Shouket Ahmad Tilwani, Bekalu Tadesse Moges, Huda Majeed

“…However, exploring how these constructs interact with each other remains underexplored. …”
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Application of Improved Electromagnetism-like Mechanism Algorithm on Massive Remote Sensing Image Screening by Yingjie Fang, Kun Liu, Xun Zhang, Gang Lin, Huibing Wang, Lina Dong, Su Li

“…The traditional manual screening method is time-consuming and labor-intensive, making it difficult to meet the needs of large-scale information processing and analysis tasks across multiple fields. To improve the screening efficiency, people usually adopt the greedy algorithm for data screening, which may lead to becoming trapped in a local optimal solution. …”
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An Analog Sensor Signal Processing Method Susceptible to Anthropogenic Noise Based on Improved Adaptive Singular Spectrum Analysis by Zhengyang Gao, Shuangchao Ge, Jie Li, Wentao Huang, Kaiqiang Feng, Chenming Zhang, Chunxing Zhang, Jiaxin Sun

“…Sensor measurements are often affected by complex ambient noise and complicating signal processing tasks. The singular spectrum decomposition (SSA) algorithm, while widely used, faces challenges such as the difficulty of determining the number of decomposition layers, requiring iterative adjustments that reduce precision and increase processing time. …”
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A Safe and Efficient Global Path-Planning Method Considering Multiple Environmental Factors of the Moon Using a Distributed Computation Strategy by Ruyan Zhou, Yuchuan Liu, Zhonghua Hong, Haiyan Pan, Yun Zhang, Yanling Han, Jiang Tao

“…First, a set of safety evaluation rules is constructed by considering factors such as terrain slope, roughness, illumination, and rock abundance. …”
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Intent-Based Multi-Cloud Storage Management Powered by a Fine-Tuned Large Language Model by Jingya Zheng, Gaofeng Tao, Shuxin Qin, Dan Wang, Zhongjun Ma

“…Additionally, the system constructs a collaborative intent decomposition method, which guarantees the integrity of intents. …”
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Instruction multi-constraint molecular generation using a teacher-student large language model by Peng Zhou, Jianmin Wang, Chunyan Li, Zixu Wang, Yiping Liu, Siqi Sun, Jianxin Lin, Leyi Wei, Xibao Cai, Houtim Lai, Wei Liu, Longyue Wang, Yuansheng Liu, Xiangxiang Zeng

“…We experimentally show that TSMMG remarkably performs in generating molecules that meet complex property requirements described in natural language across two-, three-, and four-constraint tasks, with an average molecular validity of over 99% and success ratio of 82.58%, 68.03%, and 67.48%, respectively. …”
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Research on the applicability of image keypoints in underground mine environments by WANG Jiawen, LIAO Chenfei, ZHAO Zhongqi, HUANG Zhipeng, XIE Peilong, LIU Xinyi, HOU Yanhu, YANG Kehu

“…The keypoint algorithm can be applied across various mining tasks. The unique characteristics of the mine environment, such as lighting variations, dust interference, lack of environmental texture, and repetitive texture structures, present significant challenges for keypoint algorithms. …”
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Universal strategy for rapid design and analysis of gas detection peptide chips with positional preference by Honghao Zhang, Xi Zhang, Yingjun Si, Hui Li, Jiyang Han, Chuan Yang, Hui Yang

“…In gas concentration prediction tasks, our method reduced mean square error to 0.41, significantly outperforming other methods. …”
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Damage Resistance of an fMRI-Spiking Neural Network Based on Speech Recognition Against Stochastic Attack by Lei Guo, Huan Liu, Yihua Song, Nancheng Ma

“…However, brain-like models currently lack bio-plausibility. Therefore, we construct a spiking neural network (SNN) whose topology is constrained by human brain functional Magnetic Resonance Imaging (fMRI), called fMRI-SNN. …”
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LVID-SLAM: A Lightweight Visual-Inertial SLAM for Dynamic Scenes Based on Semantic Information by Shuwen Wang, Qiming Hu, Xu Zhang, Wei Li, Ying Wang, Enhui Zheng

“…In addition, maps lacking semantic information hinder robots from understanding their environment and performing complex tasks. This paper presents a lightweight visual-inertial SLAM system. …”
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Digitalization in the Maritime Logistics Industry: A Systematic Literature Review of Enablers and Barriers by Fangli Zeng, Anqi Chen, Shuojiang Xu, Hing Kai Chan, Yusong Li

“…These advantages can significantly improve efficiency and have the potential to replace complex manual tasks. However, the diffusion of digitalization faces certain challenges, which, in turn, has drawn the attention of researchers. …”
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Self-supervised learning analysis of multi-FISH labeled cell-type map in thick brain slices by Weijie Zheng, Weijie Zheng, Yiping An, Yiping An, Kang Li, Jinyue Wang, Jianqing Gao, Huawei Mu, Huawei Mu, Jin Tang, Jin Tang, Hao Wang, Hao Wang

“…VUSMamba employs contrastive learning and pretext tasks for self-supervised learning on unlabeled data, followed by fine-tuning with minimal annotations. …”
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