Xeno-Free Integrated Platform for Robust Production of Cardiomyocyte Sheets from hiPSCs by Tiago P. Dias, Tânia Baltazar, Sandra N. Pinto, Tiago G. Fernandes, Fábio Fernandes, Maria Margarida Diogo, Manuel Prieto, Joaquim M. S. Cabral

“…In addition, replating contributed to increase the cTnT expression from 65% to 75% and the output from 2.2 to 3.1 CM per hiPSC, comparable with the efficiency observed when using TeSR/Matrigel. …”
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Transformer-Based Power Conversion System with Synchronous Adjustment of Modulated Inverters by Oleschuk V.

“…Parameters and characteristics of transformer-based ac drives depend largely on the used methods and techniques of control and modulation. …”
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Hierarchical Multi-Task Learning Based on Interactive Multi-Head Attention Feature Fusion for Speech Depression Recognition by Yujuan Xing, Ruifang He, Chengwen Zhang, Ping Tan

“…Due to the accessibility of speech data, researchers have proposed many automatic depression recognition methods based on speech. Extracting effective features and designing an efficient recognition framework pose challenges in speech-based depression recognition. …”
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An ecosystem approach to the evaluation and impact analysis of heterogeneous preventive and/or early interventions projects for veterans and first responders in seven countries by S. Lukersmith, L. Salvador-Carulla, C. Woods, T. Niyonsenga, M.R. Gutierrez-Colosia, I. Mohanty, C.R. Garcia-Alonso, D. Diaz-Milanes, J.A. Salinas-Perez, R. Davey, A. Aryani

“…Data is collected by the Projects and evaluation team on input, throughputs, and output indicators. Analysis tools include Global Impact Analytics Framework, multi-layered statistical analysis, performance evaluation using an efficient decision support approach, Project and Grant program social return on investment, visual linking and data connection platform and assessment of gendered lens approaches. …”
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GoalNet: Goal Areas Oriented Pedestrian Trajectory Prediction by Amar Fadillah, Ching-Lin Lee, Zhi-Xuan Wang, Kuan-Ting Lai

“…The overall model is efficient and modular, and its outputs can be changed according to the usage scenario. …”
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A Multiscale CNN-Based Intrinsic Permeability Prediction in Deformable Porous Media by Yousef Heider, Fadi Aldakheel, Wolfgang Ehlers

“…The primary goal is to develop an efficient, machine learning (ML)-based method that overcomes the limitations of traditional permeability estimation techniques, which often rely on time-consuming experiments or computationally expensive fluid dynamics simulations. …”
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A High Accuracy and Large-Scale Detection for Fixed-Wing UAV Autonomous Ground Landing With GNSS-Denied by Bin Fang, Zhiwei Zhong, Xiangjun Jiang

“…To further facilitate large-scale range detection in GNSS-denied conditions, a landing guidance window is developed, enabling the efficient search for and tracking of UAVs. Moreover, a joint calibration method (JCM) is implemented to minimize discrepancies between the system’s outputs and GNSS data. …”
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Control Strategies of a Three-Phase Wireless Power Transfer Charger by El Ancary Marouane, Lassioui Abdellah, El Fadil Hassan, Bouanou Tasnime, El Idrissi Zakariae, Yahya Abdelhafid, Hasni Anwar, Asri Yassine El

“…To maintain the required power output and guarantee optimal efficiency, voltage, and current control are essential in Wireless Power Transfer (WPT) systems. …”
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The agriculture specialization through the lens of PESTLE analysis by Khachatryan Liana, Asatryan Hovhannes, Poghosyan Shogher, Azatyan Liana, Kocharyan Tsovinar, Matinyan Alvard, Manucharyan Meri

“…The article utilizes a mixed-method approach, combining political, economic, social, technological, legal, and environmental (PESTLE) analyses – a framework that considers PESTLE factors, with weighted scoring, a quantitative method used to assess and rank alternatives based on expert-defined criteria. …”
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Optimal mixture design for organic Rankine cycle using machine learning algorithm by Valerio Mariani, Saverio Ottaviano, Davide Scampamorte, Andrea De Pascale, Giulio Cazzoli, Lisa Branchini, Gian Marco Bianchi

“…The optimization targets specified for the case study are the net power output, the net efficiency, the GWP and the blend size. …”
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Design and control of high-power density converters with power factor correction using multilevel rectifiers by Prakash A. Kharade, J. Jeyavel, Nitin R. Ingale, Shashikant D. Jadhav

“…For universal AC input, 1.5 kW power rating, and 400-V DC output, a hardware prototype is created. The hardware prototype shows increased efficiency and power density in comparison to existing methods while maintaining a high PF and minimal THD.…”
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Enhancing Black Soil Fertility and Microbial Community Structure via Microbial Agents to Reduce Chemical Fertilizer Dependency: A Strategy to Boost Maize Yield by Fenglin Zhang, Nan Wang, Chenyu Zhao, Luze Yang, Xingmin Zhao, Hongjun Gao, Fugui Zhang, Hongbin Wang, Ning Huang

“…The results showed that MC80 increased maize yield by 5.76% compared to RC, with an input–output ratio of 1:1.58. Additionally, soil nutrient levels in MC80 were higher than those in RC, increasing nutrient utilization efficiency, activating soil nutrients, and enhancing soil fertility. …”
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Multi-Objective Optimization for Volt-Var Parameter Tuning: Reducing Losses and Voltage Unbalance in Distribution Systems by Arthur E. S. Ribeiro, Francisco C. R. Coelho, Wesley Peres

“…This paper presents a multi-objective optimization approach to enhance the operation of distribution networks with high penetration of distributed generation (DG). The proposed method jointly optimizes the active power output of dispatchable DG units and the Volt-Var control parameters of photovoltaic (PV) inverters to minimize power losses and voltage unbalance, ensuring compliance with the 2% limit set by Brazilian regulations. …”
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Optimizing Home Heating: A Numerical Approach to Assessing Radiator, Floor, and Ceiling Heaters by Hana Charvatova, Ales Prochazka, Martin Zalesak, Vladimir MARiK

“…Furthermore, appropriate processing of output data obtained from computer simulations using artificial intelligence tools enhances the accuracy and efficiency of numerical analysis methods.…”
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Mid-Infrared Ultraflat Broadband Supercontinuum Generation with 10 dB Bandwidth of 2340 nm in a Tapered Fluorotellurite Fiber by Guochuan Ren, Linjing Yang, Chuanfei Yao, Xuan Wang, Luyao Pu, Kaihang Li, Ling Zhang, Pingxue Li

“…The optical-to-optical conversion efficiency is about 75%. Our results show that tapering of fluorotellurite fiber is an effective method to further extend and flatten the mid-infrared SC.…”
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Dual-Wavelength Passively Mode-Locked Yb-Doped Fiber Laser Based on a SnSe₂-PVA Saturable Absorber by Qiongyu Hu, Ming Li, Ping Li, Zhaojun Liu, Zhenhua Cong, Xiaohan Chen

“…Stable mode-locked pulses with a maximum average output power of 2.55 mW and a slope efficiency of 1.3% at the fundamental repetition rate of 333 kHz were achieved. …”
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NORMALISATION OF THE DRIVE PRECISION OF METAL-CUTTING MACHINES by Irina A. Klenova, Dmitry A. Rudikov, Svetlana N. Kholodova

“…Objectives The purpose of the study is to create a methodology for computing the design of the primary drive mechanism of metal cutting machines, making it possible to reduce error when realising a set of preferred output criteria. Methods The accuracy of established modes of operation is a key determinant on which the efficiency of cutting operations depends. …”
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Ship Scheduling Algorithm Based on Markov-Modulated Fluid Priority Queues by Jianzhi Deng, Shuilian Lv, Yun Li, Liping Luo, Yishan Su, Xiaolin Wang, Xinzhi Liu

“…To solve the above problems, this paper constructs a ship scheduling algorithm based on a Markov-modulated fluid priority queue, which describes the stochastic evolution of the anchorage operation state via a continuous-time Markov chain and abstracts the arrival and service processes of ships into a continuous fluid input and output mechanism modulated by the state. The algorithm introduces a multi-priority service strategy to achieve the differentiated scheduling of different types of ships and improves the computational efficiency and scalability based on a matrix analysis method. …”
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Optimal Scheduling of Hybrid Games Considering Renewable Energy Uncertainty by Haihong Bian, Kai Ji, Yifan Zhang, Xin Tang, Yongqing Xie, Cheng Chen

“…The resulting two-level optimization problem is solved using Karush–Kuhn–Tucker (KKT) conditions and the Alternating Direction Method of Multipliers (ADMM). Simulation results verify the effectiveness and robustness of the proposed model in enhancing operational efficiency under conditions of uncertainty.…”
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Frequency Diverse Array MIMO Radar Adaptive Beamforming with Range-Dependent Interference Suppression in Target Localization by Kuandong Gao, Huaizong Shao, Jingye Cai, Hui Chen, Wen-Qin Wang

“…Numerical results show that the proposed method can efficiently suppress range-dependent interferences and identify range-dependent targets. …”
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