The influence of density models on wormhole formation in Finsler–Barthel–Randers geometry by B. R. Yashwanth, S. K. Narasimhamurthy, J. Praveen, Manjunath Malligawad

“…Finsler geometry, as a generalization of Riemannian geometry, allows for the incorporation of anisotropic characteristics, making it a valuable tool in exploring cosmological phenomena. …”
Get full text

Quantile-Based Estimative VaR Forecast and Dependence Measure: A Simulation Approach by Khreshna Syuhada, Risti Nur’aini, Mahfudhotin

“…In any dependence measure, generally, stronger and negative dependence gives a higher forecast. …”
Get full text

COMMUNICATION SKILLS AT JOB INTERVIEW: PEDAGOGICAL INSIGHT INTO THE PROBLEM by J. Ageeva

“…The complex of complementary research methods are used in order to achieve the set goal: theoretical methods – analysis, synthesis, generalization of research papers; empirical methods – discourse-analysis of institutional communication; methods of data collection and storage; experimental methods – experimental learning, implementation.Results and scientific novelty. …”
Get full text

Non-neoplastic proliferative inflammatory aspect of mucoepidermoid carcinomas involving retromolar trigone: A relevant and ignored clinical aspect by Isabel Schausltz Pereira Faustino, Luan Cesar Silva, Joab Cabral Ramos, Ana Carolina Evangelista Colafemina, Mariana de Pauli Paglioni, Alan Roger Santos-Silva, Pablo Agustin Vargas, Marcio Ajudarte Lopes

“…Malignant salivary glands tumors have different prognostic factors and depend on particularly location, stage and histological type. Generally, the major glands are most affected, mainly parotid, however, MEC can occur in minor salivary glands of oral cavity being more common in palate and rare in other locations. …”
Get full text

Determination of whole genome sequence of human cytomegalovirus circulating in Japan and discovery of geographic genome structure in UL148 gene by Yuji Wada, Ken Ishioka, Tatsuo Suzutani

“…Human cytomegalovirus (HCMV), a member of the Herpesviridae family, is prevalent worldwide. HCMV is generally asymptomatic but causes severe disease in immunocompromised patients or infants who are congenitally infected. …”
Get full text

A New Conway Maxwell–Poisson Liu Regression Estimator—Method and Application by Muhammad Nauman Akram, Muhammad Amin, Faiza Sami, Adam Braima Mastor, Omer Mohamed Egeh, Abdisalam Hassan Muse

“…To overcome this issue, we consider a regression model based on the Conway–Maxwell Poisson (COMP) distribution. Generally, the maximum likelihood estimator is used for the estimation of unknown parameters of the COMP regression model. …”
Get full text

Research on multimodal social media information popularity prediction based on large language model by WANG Jie, WANG Zitong, PENG Yan, HAO Bowen

“…To address the limitations of strong feature dependency, insufficient generalization, and inadequate performance in few-shot/cold-start settings in existing multimodal social media popularity prediction algorithms, a MultiSmpLLM model based on large language model with instruction fine-tuning and human alignment was proposed. …”
Get full text

AADL Extension to Model Classical FPGA and FPGA Embedded within a SoC by Dominique Blouin, Daniel Chillet, Eric Senn, Sébastien Bilavarn, Robin Bonamy, Christian Samoyeau

“…While classical multiprocessor systems can be modeled without difficulty, the use of partial run-time reconfiguration in heterogeneous flexible system-on-chips is generally not covered. The contribution of this paper is to address this with an extension of the AADL language able to model the reconfigurable logic, possibly considering dynamic reconfiguration and power consumption requirements. …”
Get full text

A Critical Review on the Book ‘Majnun: The Madman in Medieval Islamic Society’ by Behzad Karimi

“…However, this work has some defects for a variety of reasons, including the author’s partialism approach, overwhelming data on madness and being caught in the trap of a European-oriented Orientalist approach that in some cases has produced inappropriate generalizations.…”
Get full text

Forecasting GICs and Geoelectric Fields From Solar Wind Data Using LSTMs: Application in Austria by R. L. Bailey, R. Leonhardt, C. Möstl, C. Beggan, M. A. Reiss, A. Bhaskar, A. J. Weiss

“…The training is carried out on the geoelectric field and GICs modeled from 26 years of one‐minute geomagnetic field measurements, and results are compared to GIC measurements from recent years. The GICs are generally predicted better by an LSTM trained on values from a specific substation, but only a fraction of the largest GICs are correctly predicted. …”
Get full text

FL-Joint: joint aligning features and labels in federated learning for data heterogeneity by Wenxin Chen, Jinrui Zhang, Deyu Zhang

“…This alignment drives client feature distributions to converge towards a shared feature space, refining decision boundaries and boosting the global model’s generalization ability. Extensive experiments across diverse datasets and heterogeneous data settings show that our method significantly improves accuracy and convergence speed compared to baseline approaches.…”
Get full text

The role of order and disorder in thermal and material sciences part 2: Scientific world and new insights by Šesták Jaroslav

“…Exploitation of fire and its conscious use as a manufacturing power are analyzed in terms of generalized engines to act in the sense of as the information transducers. …”
Get full text

Optimization models in the SCM-system: progressive supply chain management by S. G. Lukina, A. A. Sadykov, R. V. Fayzullin

“…Theoretical analysis and generalization of information that allow to substantiate the SCM optimization models’ apparatus (SCOR, DCOR, CCOR) act as a methodological basis. …”
Get full text

Education as a key determinant of health: A case study from rural Anhui, China by Adam Mursal, Weizhen Dong

“…Results: Our findings indicated education had the largest impact on chronic disease diagnoses in rural Anhui. Generally, as education level increases, incidence of chronic disease diagnosis decreases. …”
Get full text

Data-driven upper bounds and event attribution for unprecedented heatwaves by Mark D. Risser, Likun Zhang, Michael F. Wehner

“…In the aftermath of these devastating events, there is interest in identifying worst-case thresholds or upper bounds that quantify just how hot temperatures can become. Generalized Extreme Value theory provides a data-driven estimate of extreme thresholds; however, upper bounds may be exceeded by future events, which undermines attribution and planning for heatwave impacts. …”
Get full text

Identifying potential threats to economic security in a commercial organization by O. A. Ageeva, Yu. D. Matytsyna

“…The methodology of the research consisted in generalizing existing internal control toolkit, as well as in developing recommendations to improve economic security of commercial organization. …”
Get full text

The Role of Th17 Cells and IL-17 in Th2 Immune Responses of Allergic Conjunctivitis by Xiang-Tian Meng, Yun-Yue Shi, Hong Zhang, Hong-Yan Zhou

“…Th (T-helper) 2 immune responses and type I hypersensitivity reactions are generally considered the basis of occurrence of AC. …”
Get full text

WELDING OF 1.4462 DUPLEX STEEL USED IN MEANS OF ROAD TRANSPORT by Bożena SZCZUCKA-LASOTA, Tomasz WĘGRZYN

“…The 1.4462 duplex steel used in means of road transport steel could be treated as an interesting high-strength stainless material used in the automotive industry. Generally, duplex steels have a high resistance to localized and uniform corrosion. …”
Get full text

Reduction algorithm based on supervised discriminant projection for network security data by Fangfang GUO, Hongwu LYU, Weilin REN, Ruini WANG

“…In response to the problem that for dimensionality reduction, traditional manifold learning algorithm did not consider the raw data category information, and the degree of clustering was generally at a low level, a manifold learning dimensionality reduction algorithm with supervised discriminant projection (SDP) was proposed to improve the dimensionality reduction effects of network security data.On the basis of the nearest neighbor matrix, the label information of the raw data category was exploited to construct a supervised discriminant matrix in order to translate unsupervised popular learning into supervised learning.The target was to find a low dimensional projective space with both maximum global divergence matrix and minimum local divergence matrix, ensuring that the same kind of data was concentrated and heterogeneous data was scattered after dimensionality reduction projection.The experimental results show that the SDP algorithm, compared with the traditional dimensionality reduction algorithms, can effectively remove redundant data with low time complexity.Meanwhile the data after dimensionality reduction is more concentrated, and the heterogeneous samples are more dispersed, suitable for the actual network security data analysis model.…”
Get full text

Attainment of the Right Theory; A Window to the Justifiability of judges' Supervision on Ordinary Laws by Amirhossein Alizadeh, Ghasem Alizadeh

“…According to this view, the patterns of fundamental rules are based on the generality and foundations of the legal system and derive from all the effective norms affecting it and protecting the fundamental rights of individuals, and the judge as a selector person, due to the sources of right, selects the justice verified rule and settles the lawsuit. …”
Get full text