Website for Good Governance: Inside the Public Communication and Engagement of DPRKP Kabupaten Serang by Raden Ayu Gisti Sasti Putri, Tri Nuraniwati

“…Serang’s website is generally good. Good governance principles have been implemented such as participation, transparency, accountability, effectiveness and efficiency…”
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Hypergraph Modeling and Approximation Algorithms for the Minimum Length Link Scheduling in Multiuser MIMO Networks by Hu Shen, Shaohe Lv, Xuan Dong, Junquan Deng, Xiaodong Wang, Xingming Zhou

“…This paper investigates the problem of the minimum length link scheduling (MLLS) in multiuser MIMO (MU-MIMO) networks. Generally, in the networks with MU-MIMO capability, the number of concurrent transmissions can be as large as that of antenna elements at the receiver. …”
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Channel Path Loss Prediction Using Satellite Images: A Deep Learning Approach by Chenlong Wang, Bo Ai, Ruisi He, Mi Yang, Shun Zhou, Long Yu, Yuxin Zhang, Zhicheng Qiu, Zhangdui Zhong, Jianhua Fan

“…With the advancement of communication technology, there is a higher demand for high-precision and high-generalization channel path loss models as it is fundamental to communication systems. …”
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Almost strong zero modes at finite temperature by Niklas Tausendpfund, Aditi Mitra, Matteo Rizzi

“…We blend two established techniques for states, the Lanczos series expansion and a tensor network ansatz, uplifting them to the level of operator algebra. This allows us to efficiently simulate large system sizes for arbitrarily long timescales and to extract the temperature-dependent decay rates. …”
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SOMO-m Optimization Algorithm with Multiple Winners by Wei Wu, Atlas Khan

“…More importantly, SOMO-m algorithm with m≥2 can be used to find two or more minimums simultaneously in a single learning iteration process, while the original SOM-based optimization (SOMO) algorithm has to fulfil the same task much less efficiently by restarting the learning iteration process twice or more times.…”
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Recognition of building group patterns using GCN and knowledge graph by Tao Liu, Ziqiang Zhang, Ping Du, Wenning Wang, Haowen Yan, Bo Qiang, Shenglu Xu

“…Effective identification of building patterns can improve the quality of automated map generalization. Established methods are limited by complex rule definitions and cannot fully consider the local domain information of buildings patterns, and few studies have focused on recognizing multiple building group patterns using GCN. …”
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Optimization of texture design parameters for reduction of friction coefficient based on design of experiments and the modified acceleration gradient method by Hideto ODA, Takahiko KURAHASHI, Demófilo MALDONADO CORTÉS, Laura PEÑA-PARÀS

“…There are many possible combinations of design parameters, so it is necessary to decide select efficiently. In a previous study, we clarified that frictional force can be reduced by varying the texture depth (Arata et al., 2022). …”
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Diverse Timing of El Niño Onset Linked to Preconditioned Recharge State and Occurrence of Westerly Wind Bursts by Yu Liu, Wenjun Zhang, Feng Jiang, Han‐Ching Chen, Fei‐Fei Jin, Suqiong Hu

“…Abstract El Niño is generally phase‐locked to the boreal winter but displays significant variability in its onset timing, contributing to its diverse climate impacts. …”
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Numerical Solution of the Inverse Thermoacoustics Problem Using QFT and Gradient Method by Syrym E. Kasenov, Aigerim M. Tleulesova, Almas N. Temirbekov, Zholaman M. Bektemessov, Rysbike A. Asanova

“…In this research, we consider the inverse problem for the wave equation under an unknown initial condition. A generalized solution to the direct problem was formulated, its correctness was established, and the stability assessment was obtained. …”
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Extreme Gradient Boosting Beats In-Silico Identification of Proteins Potentially Associated With Alzheimer’s by Sadia Khalil, Wajid Arshad Abbasi, Syed Ali Abbas, Maryum Bibi, Saiqa Andleeb, Amsa Shabir

“…However, costly and tedious experimental procedures can be performed efficiently by targeting the most probable proteins involved in Alzheimer’s predicted and ranked through a computational method with better generalization accuracy. …”
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Teaching wildlife techniques to millennials with a flipped classroom by Robert McCleery

“…However, placing lectures online provided students with the opportunity to have discussion groups during regularly scheduled class time. Students generally felt that discussion groups helped them to understand the lectures, whereas the videos allowed them to use their time efficiently. …”
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Macroproperties vs. microstates in the classical simulation of critical phenomena in quench dynamics of 1D Ising models by Anupam Mitra, Tameem Albash, Philip Daniel Blocher, Jun Takahashi, Akimasa Miyake, Grant Biedermann, Ivan H Deutsch

“…The long-time correlation length near the critical point is more sensitive to the full many-body state fidelity, and generally requires a large bond dimension MPS. Nonetheless, this can still be efficiently simulated with strongly truncated MPS because it can be extracted from the short-time behavior of the dynamics where entanglement is low. …”
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Foundation models assist in human–robot collaboration assembly by Yuchen Ji, Zequn Zhang, Dunbing Tang, Yi Zheng, Changchun Liu, Zhen Zhao, Xinghui Li

“…Abstract Human–robot collaboration (HRC) is a novel manufacturing paradigm designed to fully leverage the advantage of humans and robots, efficiently and flexibly accomplishing customized manufacturing tasks. …”
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Fine-Grained Extraction of Coastal Aquaculture Ponds From Remote Sensing Images Using an Edge-Supervised Multi-task Neural Network by Jian Qi, Min Ji, Fengxiang Jin, Jianran Xu, Hanyu Ji, Juan Wang

“…However, traditional image analysis techniques often struggle to efficiently extract aquaculture ponds in the complex, heterogeneous environments of coastal wetlands. …”
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Modeling Energy Access Challenges in Europe: A Neural Network Approach to Predicting Household Heating Inadequacy Using Macro-Energy Indicators by Monika Kulisz, Justyna Kujawska, Michał Cioch, Wojciech Cel

“…The results demonstrate the superior ability of the BR algorithm to generalize data, outperforming other models like ElasticNet and decision trees, which also provided valuable insights but with lower precision. …”
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THEORETICAL AND EMPIRICAL SUBSTANTIATION OF PALLIATIVE CARE IN PEDIATRICS by S. B. Lazurenko, N. V. Mazurova, L. S. Namazova-Baranova, A. K. Gevorkyan, L. M. Kuzenkova, N. D. Vashakmadze

“…Palliative help may most efficiently be rendered at healthcare institutions as they have all the necessary conditions. …”
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Paired autoencoders for likelihood-free estimation in inverse problems by Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber

“…We show that the use of such an architecture allows us to construct a solution efficiently and to overcome some known open problems when using LFEs. …”
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Application of Response Surface Methodology and Central Composite Inscribed Design for Modeling and Optimization of Marble Surface Quality by Sümeyra Cevheroğlu Çıra, Ahmet Dağ, Askeri Karakuş

“…This study has shown that the CCI could efficiently be applied for the modelling of polishing machine for surface quality of marble strips. …”
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Natural Language Processing Techniques for Information Retrieval Enhancing Search Engines with Semantic Understanding by S Subi, B Shanthini, M SilpaRaj, K Shekar, G Keerthana, R Anitha

“…The proposed ideas focus on reducing the size of the model (one of the biggest problems with large models), training it on domain-specific knowledge (the right knowledge is important for the real application) and ways to efficiently deal with unstructured data (this is also a key issue against NLP frameworks). …”
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Explicit GPC Control Applied to an Approximated Linearized Crane System by Daniel Guerra Vale da Fonseca, André Felipe O. de A. Dantas, Carlos Eduardo Trabuco Dórea, André Laurindo Maitelli

“…This paper proposes a MIMO Explicit Generalized Predictive Control (EGPC) for minimizing payload oscillation of a Gantry Crane System subject to input and output constraints. …”
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