SEMANTIC SYNCRETISM AS A REGULATOR OF DYNAMIC STABILITY IN THE LEXICAL SYSTEM OF A LANGUAGE by Marina Vas. Pimenova

“…The paper introduces the examples of original syncretism fragmentation through the intensive formation of derivatives from the invariant etymon and the gradual assigning them some components of the originally syncretic meaning. …”
Get full text

Rapid, Validated UPLC-MS/MS Method for Determination of Glibenclamide in Rat Plasma by Mohd Aftab Alam, Fahad Ibrahim Al-Jenoobi, Abdullah Mohammed Al-Mohizea

“…Mobile phase consisting of acetonitrile (0.1% formic acid) and water (0.1% formic acid) was pumped in binary gradient mode at flow rate of 150 μL/min. Glibenclamide and IS elution time was about 1.0 min, and total run time was 2.0 min. …”
Get full text

Association between Serum Cystatin C and Diabetic Foot Ulceration in Patients with Type 2 Diabetes: A Cross-Sectional Study by Jie Zhao, Wuquan Deng, Yuping Zhang, Yanling Zheng, Lina Zhou, Johnson Boey, David G. Armstrong, Gangyi Yang, Ziwen Liang, Bing Chen

“…The association between serum CysC and DFU was explored by binary logistic regression analysis. The cut point of CysC for DFU was also evaluated by receiver operating characteristic (ROC) curve. …”
Get full text

A Competitive Bilevel Programming Model for Green, CLSCs in Light of Government Incentives by Arsalan Rahmani, Meysam Hosseini, Amir Sahami

“…A metaheuristic quantum binary particle swarm optimization (PSO) is developed via Benders decomposition algorithm to solve the proposed model. …”
Get full text

NNLO PDFs driven by top-quark data by S. Alekhin, M. V. Garzelli, S.-O. Moch, O. Zenaiev

“…It includes recent high-statistics data on absolute total inclusive cross sections for    $$t\bar{t}+X$$ t t ¯ + X , the sum of $$(t + X)$$ ( t + X ) and $$(\bar{t} + X)$$ ( t ¯ + X ) hadroproduction, and normalized inclusive data double-differential in the invariant mass and rapidity of the $$t\bar{t}$$ t t ¯ pair at $$\sqrt{S}=13$$ S = 13  TeV. …”
Get full text

Towards Fault Detection in Industrial Equipment through Energy Consumption Analysis: Integrating Machine Learning and Statistical Methods by Baddou Nada, Dadda Afaf, Rzine Bouchra, Hmamed Hala

“…The second part of the model, which focuses on detecting change points in consumption patterns, was evaluated by testing several cost functions combined with binary segmentation and dynamic programming. Applied to a real-world case, it successfully detected a change point two months before equipment failure, offering the potential to reduce energy consumption by 27,052 kWh. …”
Get full text

Physiological variables associated with the development of acute mountain sickness at the South Pole by Paul J Anderson, Bruce D Johnson, Michael F Harrison, Andrew D Miller, Kathy A O'Malley, Maile L Richert, Jacob B Johnson

“…Statistical analysis utilised independent sample t tests to investigate between-group differences (p<0.05) and a forward, step-wise binary logisitic regression analysis was performed.Participants Of 248 eligible ASAP participants, those who did not use acetazolamide (N=98) were included in the present analysis.Primary outcome measures The diagnosis of AMS using the Lake Louise Symptom Score.Results Analysis of participants not using acetazolamide (n=90) found 30 participants developed AMS and 60 participants did not. …”
Get full text

Introduction of Eucalyptus spp. into the United States with Special Emphasis on the Southern United States by R. C. Kellison, Russ Lea, Paul Marsh

“…The Florida initiative caused other industrial forestry companies in the upper South to establish plantations regardless of the species or seed source. The result was invariably the same: failure. Bruce Zobel, Professor of Forestry, North Carolina State University, initiated a concerted effort to assess the potential worth of eucalyptus for plantation use. …”
Get full text

Micropolar Couple Stress Nanofluid Flow by Non-Fourier’s-Law Heat Flux Model past a Stretching Sheet by Gosa Gadisa, Tagay Takele, Shibiru Jabessa

“…The robust numerical method called the Galerkin finite element method is applied to solve the proposed fluid model. We applied grid-invariance test to approve the convergence of the series solution. …”
Get full text

Prediction of inhibitory peptides against E.coli with desired MIC value by Nisha Bajiya, Nishant Kumar, Gajendra P. S. Raghava

“…Subsequently, we employed machine learning regression models that integrated various features, including peptide composition, binary profiles and embeddings from large language models. …”
Get full text

Chemotherapy and radiotherapy’s toxicity prediction in the surgical cancer patient by Juan Carlos Arranz Pozo, Zaily Fuentes Díaz, Migdolis Savigne Daudinot, Orlando Rodríguez Salazar, Tania Victoria Puerto Pérez

“…Toxicity predictors were estimated using binary logistic regression. The model with the best fit was selected.…”
Get full text

Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves by Wenqian Yin, Kun Zhuang, Pei Kong, Pengcheng Fan, Jilei Ye, Yuping Wu, Xun Dou

“…A Benders decomposition-based solution method is presented for the established two-stage stochastic model with DDU and mixed-binary recourse. Case studies on modified IEEE-6 bus and 118-bus systems verify the proposed model and solution method. …”
Get full text

Enhanced Image Retrieval Using Multiscale Deep Feature Fusion in Supervised Hashing by Amina Belalia, Kamel Belloulata, Adil Redaoui

“…In recent years, deep-network-based hashing has gained prominence in image retrieval for its ability to generate compact and efficient binary representations. However, most existing methods predominantly focus on high-level semantic features extracted from the final layers of networks, often neglecting structural details that are crucial for capturing spatial relationships within images. …”
Get full text

Predictive Logistic Models for Off-Street Parking Policy by Nahla H. Alaswadko

“…The study presents the results of two binary logistic models used to estimate the probability of implementing new parking policies to alleviate traffic congestion and improve movement. …”
Get full text

Adaptive Similarity Function with Structural Features of Network Embedding for Missing Link Prediction by Chuanting Zhang, Ke-Ke Shang, Jingping Qiao

“…Instead of generating edge features using binary operators, we perform link prediction solely leveraging the node features of the network. …”
Get full text

Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models by Gholamhossein Sodeifian, Ratna Surya Alwi, Reza Derakhsheshpour, Nedasadat Saadati Ardestani

“…Finally, total, solvation, and vaporization enthalpies of the drug/Sc-CO2 binary system were determined using semi-empirical correlations, for the first time.…”
Get full text

Risk Factors for Acute Unintentional Poisoning among Children Aged 1–5 Years in the Rural Community of Sri Lanka by M. B. Kavinda Chandimal Dayasiri, Shaluka F. Jayamanne, Chamilka Y. Jayasinghe

“…The two groups were compared to identify the effect of 23 proposed risk factors for unintentional poisoning using multivariate analysis in a binary logistic regression model. Results. Multivariate analysis identified eight risk factors which were significantly associated with unintentional poisoning. …”
Get full text

A kurtosis-ESPRIT algorithm for RealTime stability assessment in droop controlled microgrids by Adham Osama, Abdallah F. El-Hamalawy, Mohammed E. Ammar, Amr M. AbdelAty, Hatem H. Zeineldin, Tarek H. M. EL-Fouly, Ehab F. El-Saadany

“…This paper proposes Kurtosis-Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) to identify the dominant modes in droop-controlled inverter-based microgrids (IBMGs) using local real-time measurements. …”
Get full text

Breast mass classification based on supervised contrastive learning and multi‐view consistency penalty on mammography by Lilei Sun, Jie Wen, Junqian Wang, Zheng Zhang, Yong Zhao, Guiying Zhang, Yong Xu

“…To exploit the discriminative features from the insufficient mammographic images, the authors learnt an encoder in the classification model to learn the invariable representations from the mammographic breast mass by Supervised Contrastive Learning (SCL) to weaken the side effect of colour jitter and illumination of mammographic breast mass on image quality degradation. …”
Get full text

Knowledge, Attitude, and Practice Regarding High Salt Intake and Association With Hypertension Among Rural Women in Chandpur District of Bangladesh by Pradip Chandra, Aminul Islam, Shahara Robertson, Abu‐Al‐Rafe, Md. Abu Sayed, Afra Anjum Ahona, Mst. Nadira Parvin, Pradip Sen Gupta

“…Instrument version 3.1 module was used to administer the knowledge, attitude and practice questionnaire to assess the knowledge, attitude and practice of the participants. Binary logistic regression was performed to examine the factor related with knowledge, attitude, and practices. …”
Get full text