DialogueMLLM: Transforming Multimodal Emotion Recognition in Conversation Through Instruction-Tuned MLLM by Yuanyuan Sun, Ting Zhou

“…Carefully crafted structured prompts are used to align emotion semantics with dataset annotations, combined with Low-Rank Adaptation (LoRA) for parameter-efficient optimization. The method achieves a state-of-the-art weighted F1-score of 68.57% on the MELD benchmark. …”
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The Influence of Activity-Based Costing and Just-in-Time on Efficiency Cost Production with Company Size as a Moderation Variable by Fri Medistya Anke Priyono

“…In competition, an increasingly growing industry, strict efficiency cost production has become important in increasing the Power competitiveness and profitability of companies. The ABC method is used for allocate cost based on actual activity​ consume source power, while JIT focuses on reducing waste and optimization production through management proper stock​ time.  …”
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Research on Self-Diagnosis and Self-Healing Technologies for Intelligent Fiber Optic Sensing Networks by Ruiqi Zhang, Liang Fan, Dongzhu Lu

“…To address the issue of insufficient reliability of fiber optic sensing networks in complex environments, this study proposes a self-diagnosis and self-healing method based on intelligent algorithms. This method integrates redundant fiber paths and a fault detection mechanism, enabling rapid data transmission recovery through redundant paths during network faults, ensuring the stable operation of the monitoring system. …”
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Service-Level Objective-Aware Load-Adaptive Timeout: Balancing Failure Rate and Latency in Microservices Communication by Hiroki Hanada, Keisuke Ishibashi

“…The proposed method was implemented as an open-source Go library and evaluated using the Online Boutique benchmark under various load conditions. …”
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Translating microbial kinetics into quantitative responses and testable hypotheses using Kinbiont by Fabrizio Angaroni, Alberto Peruzzi, Edgar Z. Alvarenga, Fernanda Pinheiro

“…Abstract Challenges such as antibiotic resistance, ecosystem resilience, and bioproduction optimization require quantitative methods to characterize microbial responses to environmental perturbations. …”
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The System for Transforming the Code of Dataflow Programs into Imperative by Vladimir S. Vasilev, Alexander I. Legalov, Sergey V. Zykov

“…To run programs directly on existing computing systems, you need to use specific optimization and transformation methods that take into account the features of both the programming language and the architecture of the system. …”
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From laboratory to field: cross-domain few-shot learning for crop disease identification in the field by Sen Yang, Quan Feng, Jianhua Zhang, Wanxia Yang, Wenwei Zhou, Wenbo Yan

“…Furthermore, extensive evaluation on a multi-domain datasets demonstrated that multi-domain learning exhibits stronger domain transferability compared to single-domain learning when there is a large domain gap between the source and target domain. These comparative results suggest that optimizing the CD-FSL method from a data perspective is highly effective for solving disease identification tasks in field environments. …”
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Refining of the oil from asphaltene-resins and paraffins by B. R. Safiullin, V. О. Коzelkova, R. S. Каshaev, О. V. Коzelkov

“…Made the calculation of the rotating magnetic resonance source, its optimization and physical, mathematical modeling of its function in Matlab Simulink program. …”
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Development of an EOR-produced petroleum wastewater treatment system through integrated polyacrylonitrile membrane and ZrO2/sericin technologies: revelation of interactive mechanis... by Mengna Li, Guohe Huang, Xiujuan Chen, Zeyuan Xu, Jing Huang, Jianan Yin, Renfei Feng, Ning Chen, Stuart Read, Shuguang Wang

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Transductive Radar Clutter Segmentation Network for Ionospheric Inhomogeneity Clutter Suppression by Yuanbiao Li, Lei Yu, Yinsheng Wei

“…A deep unfolding approach maps the iterative optimization procedure onto a neural network, jointly optimizing across multiple traditional clutter suppression methods. …”
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ParticleHolography.jl: Holographic particle measurement in Julia by Dai Nakai, Yohsuke Tanaka

“…ParticleHolography.jl is an open-source Julia package designed for particle measurements using in-line holography. …”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…Our approach introduces an improved Paillier encryption method with a new hyperparameter and pre-calculates multiple random intermediate values during the key generation stage, significantly reducing encryption time and thereby expediting model training. …”
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Construction of “Biomigration – Regional Cooling” Multi-functional Ecological Network in Wuhan Urban Agglomeration by Jiajie LI, Yuanyuan GU, Zhong XING

“…This network is used to identify key areas for ecological restoration and protection, with a view to offering a reference for landscape conservation.MethodsIn this research, the construction and optimization of the multifunctional network are divided into four steps. 1) Identification of two types of source patches. …”
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Enhanced heat transfer and flow control in Oldroyd-B hybrid nanofluids: A study on electro-osmosis effects and thermal characteristics by Alugunuri Raghu, Mahesh Garvandha, Nagaraju Gajjela, Adigoppula Raju

“…We analyse the impacts of a variable heat source, thermal radiation, and stratification using the Cattaneo–Christov method. …”
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Error Analysis and Compensation of 3‒PTT Parallel Robot by CHEN Mingfang, LIANG Hongjian, WEI Songpo, HE Chaoyin

“…However, problems exist in traditional calibration methods, such as excessive error parameters, error accumulation, and difficulty in obtaining the optimal solution of statically indeterminate equations. …”
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Forecasting Significant Wave Height Intervals Along China’s Coast Based on Hybrid Modal Decomposition and CNN-BiLSTM by Kairong Xie, Tong Zhang

“…This study proposes a deep learning method based on buoy datasets collected from four research locations in China’s offshore waters over three years (2021–2023, 3-hourly). …”
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Liquid-Liquid Extraction/Low-Temperature Purification (LLE/LTP) Followed by Dispersive Solid-Phase Extraction (d-SPE) Cleanup for Multiresidue Analysis in Palm Oil by LC-QTOF-MS by Elham Sobhanzadeh, Keivan Nemati

“…An evaluation of the extraction of multiresidue pesticides from palm oil by liquid-liquid extraction/low-temperature purification (LLE/LTP) coupled with dispersive solid-phase extraction (d-SPE) as the cleanup procedure with the determination by liquid chromatography mass spectrometry using electrospray as the ionization source (LC-ESI-MS) was carried out. Optimization approaches were studied in terms of d-SPE to select efficiency of type and mass of adsorbents to obtain the highest recovery yield of pesticides and the lowest coextract fat residues in the final extract. …”
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Design and Finite Element Analysis of Brake Disc Heat Dissipation Rib for Urban Rail Transit Vehicle by WU Na, SONG Hao, YANG Jianwei, WU Chunguang, WANG Chengxu

“…[Result & Conclusion] Both the design schemes of the wheel-mounted straight-plate heat dissipation ribs and the axle-mounted cylindrical heat dissipation ribs significantly optimize the heat dissipation paths, improving the transfer efficiency of heat from the heat source to the external cooling medium. …”
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A Semianalytical Approach for Production of Oil from Bottom Water Drive Tight Oil Reservoirs with Complex Hydraulic Fractures by Shuhui Dai, Chunqiang Chen, Hao Wang, Zhaohui Fu, Dameng Liu

“…Based on the fractal theory, a semianalytical model is presented to simulate a complex fracture system by using the volumetric source method and superposition principle, and the solutions are determined iteratively. …”
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Real-Time LiDAR–Inertial Simultaneous Localization and Mesh Reconstruction by Yunqi Cheng, Meng Xu, Kezhi Wang, Zonghai Chen, Jikai Wang

“…Firstly, to reduce the odometry drift errors we use scan-to-map matching, and inter-frame inertial information is used to generate prior relative pose estimation for later LiDAR-dominated optimization. Then, based on the motivation that the unevenly distributed residual terms tend to degrade the nonlinear optimizer, a novel residual density-driven Gauss–Newton method is proposed to obtain the optimal pose estimation. …”
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