Metaheuristics in Logistics: Increasing the Efficiency of Algorithms by Defining Appropriate Parameter Settings by Tamara J. Bíró, Péter Németh

“…They are extremely problem- and parameter-sensitive methods, so the exact definition of the necessary data and the testing of the appropriate parameters fundamentally determine the efficiency and performance of an algorithm. This is a time-consuming and expensive task. In many cases, when applying a metaheuristic, it works properly with the variables of a given task and there is no specific interval where a given algorithm can still be effective. …”
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Phase angle and body composition: markers of physical performance in mountain bike athletes by Crislane de Moura Costa, Rayane Carvalho de Moura, Cirley Pinheiro Ferreira, Valmir Oliveira Silvino, Bruna Lorena Soares Cavalcante Sousa, Leandra Caline dos Santos, Esmeralda Maria Lustosa Barros, Rubens Lima Rodrigues, Glêbia Alexa Cardoso, Sandro Soares Almeida, Marcos Antonio Pereira dos Santos

“…Body composition was assessed using a multi-tactile bioimpedance analyzer (InBody S10), while performance was evaluated through handgrip strength, standing long jump, and race completion time during a 75 km competition. Pearson’s correlation was used to assess relationships between PhA, body composition, and performance variables. …”
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Manières de voir, manières de faire : moderniser les canaux gravitaires by Anne-Laure Collard, François Molle, Anne Rivière-Honegger

“…In the South of France, gravity-fed irrigation canals embody centuries-old experience in water management in response to the high variability of rainfall across space and time. But nowadays, the sustainability of these works (called "béals" in the Cévennes gardoises) is no longer given and their very existence comes in the way of the adaptation to the new regulations concerning water sharing and quality (water laws 1992, 2006). …”
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Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost by Ji XU, Zicheng XIN, Mo LAN, Wenhui LIN, Bo ZHANG, Qing LIU

“…This model is practical for precisely controlling molten steel temperature at the end of the VD furnace, ensuring continuous casting progression, and enhancing production efficiency. The input variables for the MM–BO–XGBoost model are identified as follows: initial temperature of molten steel, amount of calcium wire added, high vacuum holding time, amount of aluminum wire added, static stirring time, feeding time after vacuum break, vacuum degree, weight of molten steel, vacuum pumping time, argon gas flow during vacuum pumping, argon gas flow during high vacuum maintenance, and ladle arrival waiting time. …”
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Quality of the fibrinogen index in freeze-dried plasma for external blood coagulation testing programs by Thi Hong Nguyen, Thanh Tung Tran, Thi Diem Phuc Huynh, Quang Huy Vu

“…Key variables included: Mean (central tendency), Standard Deviation (data dispersion), Homogeneity (consistency within a batch, assessed via P-values), and Stability (maintenance of values over time under varied storage conditions). …”
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Online Meta-Recommendation of CUSUM Hyperparameters for Enhanced Drift Detection by Jessica Fernandes Lopes, Sylvio Barbon Junior, Leonimer Flávio de Melo

“…The Cumulative Sum (CUSUM) method, based on calculating the cumulative values within a time series, is commonly used for change detection due to its early detection of small drifts, simplicity, low computational cost, and robustness to noise. …”
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Monitoring the cognitive load in competitive environments in professional women’s basketball by Joan Fuster, Lluis Capdevila, Lluis Capdevila, Toni Caparros, Toni Caparros

“…The following descriptive variables of the tasks were recorded: specificity, number of players, playing space, time pressure, decision-making and competitive stimulus. …”
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Modeling the shrimp aquaculture wastewater pollutant removals by clam shell using structural equation model by N.D. Takarina, O.M. Chuan, A. Adiwibowo, M.A. Adidharma

“…According to model results and factor loading values, water variables that contribute significantly to the metal removals were total alkanility, followed by potential hydrogen. …”
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Germ and seed morphometric parameters of seeds of vegetable plants of the Umbelliferae family as a breeding subject by A. F. Bukharov

“…The experiment was repeated four times, in each repetition at least 20 seeds. The values of the coefficient of variation in the length of the endosperm and seed varied from 9 to 19%, depending on the species and cultivar characteristics. …”
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Association between estimated glucose disposal rate and major adverse cardiovascular events in patients with type 2 diabetes. by Maojun Liu, Junyu Pei, Xinqun Hu, Xiaopu Wang

“…Participants were divided into tertiles based on eGDR values. HbA1c variability was assessed using the HbA1c Variability Score (HVS). …”
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Dynamics and drivers of the carbonate system: response to terrestrial runoff and upwelling along the Northeastern Colombian Caribbean coast by Constanza Ricaurte-Villota, Magnolia Murcia-Riaño, José Martín Hernádez-Ayón

“…Low/high pH and Ω values were associated with high/low DIC and TA values during the dry and wet seasons, respectively, while pCO2 exhibited an opposite pattern. …”
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Emergence of cHz Quasiperiodic Oscillations from a Low-angular-momentum Flow onto a Supermassive Black Hole by Indu K. Dihingia, Yosuke Mizuno

“…Due to the shorter infalling time, low-angular-momentum accretion flows can have resonance close to the black hole, which will raise variability cHz or beyond QPOs for supermassive black holes. …”
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Predicting executive functioning from walking features in Parkinson’s disease using machine learning by Artur Piet, Johanna Geritz, Pascal Garcia, Mona Irsfeld, Frédéric Li, Xinyu Huang, Muhammad Tausif Irshad, Julius Welzel, Clint Hansen, Walter Maetzler, Marcin Grzegorzek, Nico Bunzeck

“…Importantly, predictions solely based on walking features obtained with support vector regression mildly but significantly correlated with Δ−TMT values. Specifically, this effect was primarily driven by step time variability, double limb support time variability, and gait speed in the dual task condition with cognitive demands. …”
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Impact of climatic variations on the abundance pattern of Perkinsiella saccharicida in the ingenio sugar San Carlos, Ecuador by Edwin Jiménez-Ruiz, Mariela González-Narváez, Víctor Puente-Tenezaca, Óscar Nuñez-Burgos, William Fonseca-González, Carlos Ordóñez

“…A causal relationship was established between specific atmospheric variables and Perkinsiella. Initial outbreaks were observed during the summer, with population sizes increasing over time. …”
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Analysis of the genetic variance of fibre diameter measured along the wool staple for use as a potential indicator of resilience in sheep by Erin G. Smith, Dominic L. Waters, Samuel F. Walkom, Sam A. Clark

“…Abstract Background The effects of environmental disturbances on livestock are often observed indirectly through the variability patterns of repeated performance records over time. …”
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Fifty years of instrumental surface mass balance observations at Vostok Station, central Antarctica by Alexey A. Ekaykin, Vladimir Ya. Lipenkov, Natalia A. Tebenkova

“…Our data suggest an overall increase of the SMB during the observation period accompanied by a significant decadal variability. The main driver of this variability is local air temperature with an SMB temperature sensitivity of 2.4 ± 0.2 kg m−2 yr−1 K−1 (11 ± 2% K−1). …”
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Spatio-temporal assessment of aerosol-induced atmospheric heating rates in Nigeria by Tertsea Igbawua, Alexander Aondongu Tyonvenda, Terver Sombo, Idugba Mathias Echi

“…In zones with persistent substantial and marginal decreases in AHR, sea salt (SS) and desert dust (DU) were the dominant variables, with the highest TE values of 0.155 and 0.179, respectively. …”
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Optimization of Microwave-Assisted Organosolv Cellulose Recovery from Olive-Tree Pruning with Three Different Solvents by Soledad Mateo, Giacomo Fabbrizi, M. Renee Chapeta, Alberto J. Moya

“…The effect of operating parameters has been studied, considering specific ranges of variables values according to each experimental design but, in any case, located in the ranges of 33–67% (chemical compound concentration), 130–170 °C (temperature), 5–30 min (reaction time), and 1/20–1/5 (solid/liquid ratio, s/L). …”
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Investigating the Zonal Response of Spatiotemporal Dynamics of Australian Grasslands to Ongoing Climate Change by Jingai Bai, Tingbao Xu

“…Areal average annual NPP values fluctuated annually but with a levelled trend over time, illustrating grassland resilience. …”
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Impact of hemoglobin glycation index on prognosis in critical patients with acute ischemic stroke: A retrospective cohort study using MIMIC-IV 2.2 database by Nan Jia, Xiao-xi Liu

“…Subgroup analyses were performed to explore interactions with key variables. Restricted Cubic Spline (RCS) analysis was utilized to assess the nonlinear relationship between continuous HGI values and mortality risk. …”
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