Nonlinear equations in private derivatives, related to the operator of Dirak by Olga Sergeevna Yanovskaya, Olesya Borisovna Surneva

“…Are defined by necessary and sufficient conditions under which the operator equation is the compatibility condition for the three linear differential equations: the irst is the eigenvalue equation of the operator L on the space variables and the spectral values parametrically dependent on time, the second describes the dynamics of the eigenfunctions of the operator L in a temporary variable, and the third one deines the spectral function. …”
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Evaluation of Implementation Context Based Clustering In Fuzzy Geographically Weighted Clustering-Particle Swarm Optimization Algorithm by Siti Nurmardia Abdussamad, Suci Astutik, Achmad Effendi

“…Integration of Particle Swarm Optimization as a metaheuristic algorithm makes the computation run longer so, the solution in this paper is FGWC-PSO will be combined with context based clustering to produce a hybrid method (CFGWC-PSO) which can shorten the computational time of the clustering algorithm. Context based clustering in this paper will use 3 ways, namely by using random values, using Fuzzy C-Means (FCM), and using mean and standard deviations. …”
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Accurate neural quantum states for interacting lattice bosons by Zakari Denis, Giuseppe Carleo

“…We show that this neural quantum state is able to faithfully represent the ground state of the 2D Bose-Hubbard Hamiltonian across all values of the interaction strength. We scale our simulations to lattices of dimension up to $20{\times}20$ while achieving the best variational energies reported for this model. …”
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MODELLING ROUNDABOUT ENTRY CAPACITY FOR MIXED TRAFFIC FLOW USING ANN: A CASE STUDY IN INDIA by Aarohi Kumar MUNSHI, Ashish Kumar PATNAIK

“…The connection weight approach and Garson algorithm evaluate the significance of each explanatory variable and identify follow-up time (Tf) as a critical parameter with values of 11.10 and 21.15%, respectively.…”
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The effect of the work-family conflict, subjective socio-economic status, and physical activity on the perceived quality of life of working women in Iran: the mediating role of qua... by Nader Rajabi-Gilan, Shirin Zardoshtian, Neda Sarabi, Mehdi Khezeli

“…The highest direct effect among the variables belonged to the SSS on QWL (β = 0.41, p-value = 0.001) and QOL (β = 0.20, p-value < 0.001). …”
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CRYOGENESIS AND GEODYNAMICS OF ICING VALLEYS by V. R. Alekseyev

“…In the mature aufeis glades, there are sites undergoing various development stages, which gives evidence that aufeis channelling is variable in a wide range in both space and time. With respect to sizes of aufeis glades, river flow capacities and geological, geomorphological, cryo-hydrogeological conditions, aufeis patterns of the channel network are classified into five types as follows: fan-shaped, cone-shaped, treelike, reticular, and longitudinal-insular types. …”
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Building a Data Store with the Dynamic Structure by Yu. N. Artamonov

“…The reference property value points to an object whose name is interpreted as the value of the property at a given time. …”
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Uncertain Single-Machine Scheduling with Deterioration and Learning Effect by Jiayu Shen

“…A single-machine scheduling problem with deterioration and learning effect is studied in the present paper. The processing time and due date are considered uncertain variables due to lack of historical data. …”
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Investigating the relationship between the monetary policy shock through the exchange rate channel on the management quality index in the banking system: by examining the productiv... by Farhad Sharifi Bagha, Jafar Haqiqat, Zahra Karimi Takanloo

“…Regarding the relationship between the variables, it was expected that the value of each variable from the previous period will have a positive effect on the current value of the variable, in such a way that, for example, an increase in the exchange rate in the past period increases or decreases the variables in the current period. …”
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FATIGUE BEHAVIOR OF WELDED STRUCTURES by Claudiu BABIS, Oana CHIVU, Andrei DIMITRESCU, Gabriel IACOBESCU, Anamaria FEIER, Augustin SEMENESCU

“…Fatigue is a phenomenon consisting of the accumulation of stresses and deformations that cause cracking and sometimes dismantling or even destruction of structures as a consequence of applying variable loads over time as intensity and position ( load cycles). …”
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Internal Benchmarking of Thermal Power Plants оf Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, Y. Z. Farzaliyev, U. K. Ashurova

“…It manifests itself in a significant change (deterioration) of one or (less often) two relative values of the TEI in the calculated time interval (month) and is characterized by such statistical indicators as the geometric mean and the coefficient of variation of relative deviations. …”
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CKRT coagulation risk prediction and nursing feedback model based on intelligent algorithms by Xianrong Xu, Mou Chen, Lvjing Chen, Kaixing Huang, Shiqi Cao, Wenwen Gao, Kang Liu, Buyun Wu, Huijuan Mao

“…The data was preprocessed, and new variables were derived to serve as model inputs. A hybrid machine learning algorithm was applied to predict the timing of Continuous Kidney Replacement Therapy initiation for patients with acute kidney injury. …”
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The effect of fuel prices on agri-food sector output in Ghana by Ramatu Ussif, Jamal Mohammed, Ussif Abdul-Aziz Sirin

“…Control variables, including agricultural employment as a percentage of total employment and agriculture machinery and tractors, showed a positive correlation with agriculture value added per GDP. …”
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The Association of Proning and Stroke among Deeply Sedated Critically Ill SARS-CoV-2 (COVID-19) Patients by Keith Moon Q. Saberon, Jo-Ann Rosario Soliven

“…There was a significant association seen among COVID-19 patients in the ICU who underwent proning to the development of stroke, with up to 15 times risk of having stroke (p value = 0.007) than those who were not proned during their course of ICU stay. …”
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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

“…Abstract Background Artificial intelligence (AI) methods, including machine learning and deep learning, are increasingly applied in orthodontics for tasks like assessing skeletal maturity. Accurate timing of treatment is crucial, but traditional methods such as cervical vertebral maturation (CVM) staging have limitations due to observer variability and complexity. …”
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Testosterone concentrations in juvenile male polar bears (Ursus maritimus) by Jessye Wojtusik, Megan Philpott, Elizabeth Donelan, Monica A. Stoops, Terri L. Roth, Erin Curry

“…Another bear demonstrated greater testosterone metabolite values during the non-breeding season than breeding season. …”
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Total capacity and LOS estimation of innovative and conventional roundabouts through macroscopic fundamental diagrams by Marco Guerrieri

“…MFDs are estimated through several OD traffic matrices, considering as outputs the values of the macroscopic traffic variable deduced in time intervals of 5 min and 1 h. …”
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Modeling the position of tracked chassis in motion in the event of mechanical characteristics of separate drive electric motors of track contours by Goncharov K.A.

“…The proposed mathematical model, on the one hand, takes into account the possibility of changing the coefficient of resistance to movement over time, and on the other hand, it operates with a variable approach to determining the speed of movement of tracked circuits based on a system of sliding deviations of electric motors. …”
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Insights from fifteen years of real-world development, testing and implementation of youth digital mental health interventions by Shane Cross, Shaminka Mangelsdorf, Lee Valentine, Shaunagh O'Sullivan, Carla McEnery, Isabelle Scott, Tamsyn Gilbertson, Shona Louis, Jon Myer, Ping Liu, Niel Mac Dhonnagáin, Tom Wren, Eleanor Carey, Daniela Cagliarini, Ross Jacobs, Roos Pot-Kolder, Imogen Bell, Jennifer Nicholas, Lucia Valmaggia, John Gleeson, Mario Alvarez-Jimenez

“…Emerging innovations such as just-in-time adaptive interventions, extended reality (XR) therapies, stratified treatment models, and large language models offer promising future pathways for greater personalization, engagement, effectiveness, and scalability.Our findings highlight the potential value of context-sensitive, co-designed, and system-integrated DMHIs, while also emphasising enduring limitations such as variable engagement, implementation barriers, and population-specific adaptation. …”
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SIGNAL DETECTION WITH UNKNOWN PARAMETERS by Y. A. Sidorkina, V. V. Antipov

“…The effectiveness of this algorithm is determined by the sampling distribution of the maximum values of random variables distributed according to Rayleigh.…”
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