Crossing chasms: A PLS approach to EU public sector performance assessment. by Adriana AnaMaria Davidescu, Oana-Ramona Lobonț, Eduard Mihai Manta, Lavinia Daniela Mihiț, Alexandra-Mădălina Țăran

“…These findings underscore the critical role of transparent governance, economic stability, and equitable social policies in enhancing public sector efficiency. Despite its reliance on secondary data and the PLS method, the study provides new methodological insights and empirical evidence on public sector performance, contributing to the literature with a holistic analysis that integrates digitalisation and well-being. …”
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Necessidade hídrica da cultura do girassol irrigado na chapada do Apodi Water requirement in the Plateau of irrigated sunflower of Apodi - Brazil by Edmilson G. C. Junior, José F. de Medeiros, Talyana K. de Melo, José Espinola Sobrinho, Gilmar Bristot, Bruno M. de Almeida

“…Being a non traditional crop in the region, there are no studies about the water management, so this work aimed to determine the crop evapotranspiration (ETc) and the crop coefficients (Kc) for the different development stages of the sunflower, cultivar Catissol I, in the plateau of Apodi - RN. …”
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Numerical Research on Hull–Propeller–Rudder–Ice Interaction of Full-Scale Polar Transport Ship in Brash Ice Channel by Jinlong Zhang, Jianing Zhang, Lei Zhang, Weimin Chen, Qingshan Zhang

“…This research work determines the resistance, power demand, and propulsive efficiency of a polar transport ship under given ice conditions and speeds, as well as the self-propulsion points under different ice thicknesses. …”
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A hybrid-ABC approach to the multi-controller placement problem of software-defined networks by Bilal Babayigit, Mohammed Abubaker, Banu Ulu

“…The proposed algorithm integrates K-means clustering with the ABC algorithm to enhance solution quality and address the issue of poor exploitation of solutions inherent in ABC. Thus, the proposed method is a fusion of metaheuristic swarm intelligence and machine learning techniques, combining the efficiency of ABC metaheuristic with K-means clustering. …”
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The effect of differences in silvofishery pond types and gender on the growth performance of mud crabs (Scylla serrata) by Asep Akmal Aonullah, Annisa Bias Cahyanurani, Andina Chairun Nisa, Diana Putri Renitasari, Asthervina Widyastami Puspitasari, Aditya Brahmana

“…The results showed that the interaction between pond type and sex had a significant influence on daily growth rate and absolute weight growth but did not significantly influence the feed conversion ratio and feed utilization efficiency. Duncan's further tests showed that the type of pond had a real influence on the feed conversion ratio and feed utilization efficiency. …”
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Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure. by Lukas Grossberger, Francesco P Battaglia, Martin Vinck

“…SPOTDisClust does not require binning and can detect complex patterns (beyond sequential activation) even when high levels of out-of-pattern "noise" spiking are present. Our method handles efficiently the additional information from increasingly large neuronal ensembles and can detect a number of patterns that far exceeds the number of recorded neurons. …”
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Scientific conscience of Fedir Pavlovych Shevchenko in the laboratories of partocracy by Shyp Nadia

“…Shevchenko is an example of dedication to the profession, great efficiency, determination and moral and psychological endurance, which deserves to be emulated.…”
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A Cooperative Trajectory Optimization Algorithm for Connected Vehicles in Merging Zones by Hao Li, Yun Pu, Lingjuan Chen, Yu Wang

“…Numerical experiments validate that the proposed method guarantees safe driving and provides relatively smooth trajectories to the vehicles. …”
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Artificial Intelligence on the Identification of Beiguan Music by Yu-Hsin CHANG, Shu-Nung YAO

“…The advantages of this method include improving data processing efficiency, fast MIR, and evoking possible musical connections from the high-relation result of statistical analyses.…”
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AN EVALUATION OF FACTORS AFFECTING THE SELECTION OF MEDICAL SPECIALTIES by Ayşe Nur Balcı Yapalak, Abdullah Uçar, Servet Yüce, Ömer Ataç

“…Background: Coherence between the manpower needs in healthcare and factors which determine the specialization preferences of medical faculty students (MFS) is very important for efficiency. …”
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Construction of a model for the rapid detection of acids in strong-flavor original Baijiu based on mid-infrared spectroscopy technology by PENG Houbo, LIAO Li, GAN Qiao, XU Jia, JING Xiong, QIAN Yu, ZOU Yongfang

“…The results showed that the coefficients of determination R² of the quantitative models for total acid, caproic acid, acetic acid and butyric acid were more than 0.90, the root-mean-square error (RMSE) of both the calibration set and the prediction set was less than 0.041 g/L, the optimal numbers of principal component were 9, 19, 8 and 9, respectively, and the relative errors of the quantitative models were less than 10% for total acid, caproic acid and acetic acid and less than 51% for butyric acid. …”
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On Robustness to a Topological Perturbation in Fluid Mechanics by Abdelbari Merwan, Nachi Khadra, Sokołowski Jan, Novotny Antonio Andre

“…Numerical examples illustrate the efficiency of the proposed topological derivative method.…”
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Hybrid Functions Direct Approach and State Feedback Optimal Solutions for a Class of Nonlinear Polynomial Time Delay Systems by Mohamed Karim Bouafoura, Naceur Benhadj Braiek

“…Simulation results show efficiency of the proposed numerical optimal approach.…”
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Analyzing measles spread through a Markovian SEIR model by Yousef Alnafisah, M. A. Sohaly

“…We employ the state reduction method to simplify complex computations and develop a Mathematica-based algorithm to efficiently determine steady-state probabilities. …”
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Two-Timescale Cross-Layer Design for URLLC Over Parallel Fading Channels With Imperfect CSI by Hongsen Peng, Meixia Tao

“…In the large timescale, the pilot length and pilot power are optimized while in the small timescale, the data transmit power and decoding error probability are optimized according to the estimated channel coefficients and queueing information. As a starting step in our small timescale solution, we train a deep reinforcement learning (DRL) agent employing the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm to allocate the data transmit power on each sub-channel and determine the decoding error probability to satisfy the URLLC constraints in an ideal environment with perfect instantaneous CSI. …”
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Applying Acoustic Signals to Monitor Hybrid Electrical Discharge-Turning with Artificial Neural Networks by Mehdi Soleymani, Mohammadjafar Hadad

“…The parameters investigated included sample rate, length of the FFT window, hop length, and the number of mel-frequency cepstral coefficients (MFCC). The study aimed to determine the optimal preprocessing parameters considering the highest precision, recall, and F1 scores. …”
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Preparation of Ampicillin Surface Molecularly Imprinted Polymers for Its Selective Recognition of Ampicillin in Eggs Samples by Yang Tian, Yue Wang, Shanshan Wu, Zhian Sun, Bolin Gong

“…This work presents a sensitive, fast, and convenient method for the determination of trace ampicillin in food samples.…”
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Influence of Loosely Bound Water on Compressibility of Compacted Fine-Grained Soils by Rui Zhang, Mengli Wu, Prince Kumar, Qian-Feng Gao

“…The volumetric flask method was used to measure the LBW contents of the five soils. …”
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The role of interfacial tension in the size-dependent phase separation of atmospheric aerosol particles by R. Schmedding, A. Zuend

“…However, in sufficiently small particles, the interfacial tension between two liquid phases constitutes an energetic barrier that may prevent the formation of an additional liquid phase. Determining said small-size limit is a key question.…”
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Comparative Study on the Accuracy of Terrestrial and Global Gravitational Models (GGMs) Gravity Anomalies for Akure Environs, Ondo State, Nigeria by Ibrahim Olatunji Raufu, Herbert Tata, Korede Samuel Buraimoh

“… Spherical harmonic expansion is a mathematical method used to describe Earth's gravity field, derived from potential coefficients observed both on Earth's surface and from space. …”
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