A Comparative Study of Banking Sectors of Pakistan and India: An Application of Data Envelopment Analysis by Aamir Shahzad, Tahir Mahmood, Mehwish Shahzad

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ENERGY MANAGEMENT POLICY SELECTION IN SMART GRIDS: A CRITIC-CoCoSo METHOD WITH Lq*q -rung ORTHOPAIR MULTI-FUZZY SOFT SETS by Mahalakshmi Pethaperumal, Vimala Jayakumar, Dragan Pamucar, S Rajareega, Tamil Vizhi Mariappan

“…To address these challenges, our study introduces a novel decision- making framework that leverages a new score function for comparing q- rung orthopair multi-fuzzy soft numbers. …”
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A Focusing Algorithm in Automatic Microscope by LIANG Long-kai, ZHAO Jing, HE Yong-jun

“…Then the proposed evaluation functions are applied to realize the variable step climbing search strategy． …”
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Optimizing hospital length of stay and bed allocation using a fuzzy stochastic transportation problem framework with lomax distribution, by Dr.D. Kalpanapriya, Pullooru Bhavana

“…Additionally, the integration of fuzzy and stochastic elements led to a 20 . reduction in bed allocation mismatches, optimizing resource utilization across hospital departments. • Novel Integration of Lomax Distribution in FSTPWLD: Utilizes the Lomax distribution to model heavy-tailed LOS data, capturing inherent uncertainty and variability in hospital discharge times. • Optimized Decision-Making for Healthcare Management: Employs probabilistic constraints and fuzzy stochastic models to balance operational costs and patient care quality, improving resource allocation. • Validated through Simulations and Practical Scenarios: Numerical experiments highlight the model's effectiveness in reducing bottlenecks and enhancing hospital administration efficiency.…”
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Sinusoidal regression model for assessment of mudflows dynamics by B. A. Ashabokov, A. A. Tashilova, L. A. Kesheva, N. V. Teunova

“…The article shows that the use of the sinusoidal regression function makes it possible to identify the cyclicity of time series, which will help in assessing the dynamics of mudflows taking into account long-term changes in climate variables. …”
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Neural correlates of subjective cognitive decline in Alzheimer’s disease: a systematic review of structural and functional brain changes for early diagnosis and intervention by Giulia Marafioti, Laura Culicetto, Desirèe Latella, Angela Marra, Angelo Quartarone, Viviana Lo Buono

“…Dynamic functional connectivity studies report reduced brain activity efficiency, while graph theory analyses show decreased network integration. …”
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Development of a cyclone separator for particulate matter control in fique bag production: A case study at Empaques del Cauca S.A. by Johana Astudillo Gutierrez, Jhon Alexander Guerrero Narvaez, Diego Andres Campo Ceballos, Javier Andres Muñoz Chaves

“…Both materials effectively eject zero particles per second into the air and collect the particles in the collector condenser with variable velocity profiles. In the case of the stainless-steel design, a marginal increase in particle collection is observed at specific velocity profiles, highlighting its overall efficiency. …”
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Exploring the potentials of mango-orange leaf extract as an inhibitor on carbon steel in an acidic medium: Optimization, kinetics, and thermodynamics by Elijah Emeteveke Aghogho, Prosper Eguono Ovuoraye, Innocent Oseribho Oboh, Oluwafemi Osarhiemen Olayebi

“…The effects of optimized variables on corrosion inhibition were examined. The result confirmed optimum inhibition efficiency of 96 % corresponding to MOEx concentration, temperature, and time of 450 ppm, 30 0C, and 3 h recorded at an optimum acid concentration of 1.3 M of H2SO4. …”
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Optimization of PLGA-Doxorubicin Hybrid Nanoparticles using Design of Experiments: Synthesis, Characterization, and Applications by Adina TURCU-STIOLICA, Andrei BITA, Maria Viorica CIOCILTEU

“… Background and Aim: Poly (lactic-co-glycolic acid) (PLGA) exhibits a range of advantageous properties, including tunable particle sizes, stability, biodegradability, and the potential for surface functionalization. These characteristics have established PLGA as a widely utilized material in drug delivery systems. …”
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Novel active-feedback device improves sleep quality in insomnia disorder: a randomized placebo-controlled trial by Antonia Ypsilanti, Maan van de Werken, Anna Robson, Petra Examilioti, Lambros Lazuras, Lambros Lazuras

“…ObjectivesInsomnia disorder is a public health challenge associated with impaired cognitive functioning, reduced quality of life, and adverse mental health outcomes. …”
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MULTI-OBJECTIVE OPTIMIZATION DESIGN FOR CUTTING MECHANISM OF ROADHEADER BASED ON IMPROVED GENETIC ALGORITHM by MAO Jun, PAN DeWen, XIE Miao, ZHENG GuangHui

“…The comprehensive performance of cutting mechanism of roadheader is decided by cutting dust,quantity of pick consumption,specific density consumption,load fluctuation and production efficiency. This paper takes motion parameters and structure parameters of cutting mechanism for design variables and optimizes multi-objective function of comprehensive performance of cutting mechanism based on the improved genetic algorithm. …”
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Different whole body HIIT protocols do not promote different muscle thickness and functional adaptations among healthy physically active subjects by Alexandre L. Evangelista, Júlio B. B. de Camargo, Roberta L. Rica, Luiz Carlos Carnevali Júnior, Gregg S. Mallett, Valentina Bullo, Marco Bergamin, Stefano Gobbo, Danilo S. Bocalini

“…Morphological (ultrasound-derived muscle thickness of the vastus lateralis [MTVL]) and general fitness (muscle endurance and maximal oxygen consumption) assessments were performed at pre- and post-intervention moments.ResultsBoth training protocols elicited significant improvements in all dependent variables (p < 0.05), with no significant between-group differences.ConclusionRegardless of the training configuration, both WB-HIIT programs serve as time-efficient strategies to induce changes in muscle thickness of the vastus lateralis and functional adaptations in healthy, physically active young individuals.…”
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Unveiling the ecological dominance of button mangrove (Conocarpus erectus L.) through microstructural and functional traits modifications across heterogenic environmental condition... by Ummar Iqbal, Akkasha Azam, Khawaja Shafique Ahmad, Sahar Mumtaz, Ansar Mehmood, Nargis Naz, Zartasha Usman, Hina Abbas, Muhammad Akram

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Deterministic Calculation Method for Continuous-energy Neutron Transport Equation in No-resonance Energy-range by LIU Haopo, LI Yunzhao, WU Hongchun, CAO Liangzhi

“…In order to eliminate the multi-group approximation in the deterministic method, a method for calculating neutron transport equation in the non-resonant energy region based on function expansion was proposed. Initially, the non-resonant energy region was subdivided into segments, and within each segment, orthogonal polynomials serve as base functions for expanding the neutron flux density, which realized the processing of single energy independent variable in the neutron flight and absorption process, as well as the handling of double energy independent variable in the neutron scattering process. …”

Influence of heavy oil components and optimal magnetic nanocatalysts on the heavy oil upgrading by microwave-assisted by Parya Torkaman, Ramin Karimzadeh, Arezou Jafari

“…The research aimed to determine the influence of process variables, such as the type and quantity of nanocatalyst, and the duration of irradiation. …”
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qBiCo: a method to assess global DNA conversion performance in epigenetics via single-copy genes and repetitive elements by Faidra Karkala, Roy B. Simons, Floor Claessens, Vivian Kalamara, Manfred Kayser, Athina Vidaki

“…Depending on the starting DNA quantity, bisulfite-converted DNA recoveries ranged from 8.5 to 100%, conversion efficiencies from 78 to 99.9%, while certain kits highly fragment DNA, demonstrating large variability in their performance. …”
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Exploration design for Q-learning-based adaptive linear quadratic optimal regulators under stochastic disturbances by Vina Putri Virgiani, Shiro Masuda

“…Q-learning optimizes the state-action policy by estimating the Q-function iteratively. This study proposes exploration signal design for the bias-free Q-learning algorithm that modifies the recursively defined Q-function by adding a disturbance-influenced term and utilizes an Instrumental Variable (IV) technique to resolve the bias-error issue. …”
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Transient decline and early recovery of noninvasive myocardial work after kidney transplantation: a prospective study by Yulin Huang, Lin Jin, Xinyan Qiu, Canying Yang, Luyi Ping, Zhengyao Jiang, Hua Zou, Zhihong Zhang, Jiwei Wang

“…NIMW parameters include global myocardial work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE).Results 1) Renal function indicators, including blood urea nitrogen, serum creatinine, and estimated glomerular filtration rate improved significantly at 10 days post-KT. …”
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Research Progress of Intelligent Evaluation and Virtual Reality Based Training in Upper Limb Rehabilitation afrer Stroke by XIE Qiurong, LIN Wanqi, ZHANG Qi, SHENG Bo, ZHANG Yanxin, HUANG Jia

“…Automated assessment of upper extremity motor function based on machine learning algorithms with markerless sensing techniques has focused on the Fugl-Meyer assessment of upper extremity (FMA-UE), Brunnstrom stages, and Wolf motor function test (WMFT) scales and has been proved with high-scoring accuracy and time efficiency. …”
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Statistical learning-driven parameter tuning in injection molding using modified simplex method by Pongchanun Luangpaiboon, Walailak Atthirawong, Anucha Hirunwat, Pasura Aungkulanon

“…The Taguchi design of experiments and desirability function analysis were employed to establish a baseline. …”
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