bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between glycemia and multi-vessel lesion in patients undergoing percutaneous coronary intervention: A cross-sectional study
Authors: Dong Hezeng , Deng Yue , Chang Liping , Liu Zhaozheng , Shi Rui , Jin Qu , Chen Hao , Shao Xiao , Tian Tenghui , Yin Jinzhu 
Published: November 2023

Abstract
Background: This study aims to elucidate the association between glycemia and the occurrence of multi-vessel lesions in patients undergoing Percutaneous Coronary Intervention (PCI).
Methods: A cohort of 2,533 patients with coronary heart disease, treated with drug-eluting stents, was analysed. Of these, 1,973 patients, identified by the endpoint of multi-vessel lesions, were examined using univariate and multivariate logistic regression analyses to determine the relationship between glycemia levels and multi-vessel lesion occurrence.
Results: The analysis included 1,973 participants, among whom 474 patients were identified with coronary multi-vessel lesions. Univariate logistic regression analysis demonstrated a positive correlation between glycemia and the occurrence of coronary multi-vessel lesions (OR 1.04; 95% CI 1.01–1.08; p=0.02). The adjusted model indicated that for each unit increase in glycemia, the risk of developing coronary multi-vessel lesions increased by 4%, showing a significant correlation (p < 0.05). Subgroup analyses revealed that the impact of glycemia on multi-vessel lesions in patients with PCI varied according to gender, age, and smoking status, with the effect being more pronounced in men, older patients, and smokers。
Conclusion: Our findings establish a significant association between glycemia and the incidence of multi-vessel lesions, particularly pronounced in male patients, individuals over 45, and smokers.
Identification of additional body weight QTLs in the Berlin Fat Mouse BFMI861 lines using time series data
Authors: Delpero Manuel , Korkuć Paula , Arends Danny , Brockmann Gudrun A. , Hesse Deike 
Published: November 2023

Abstract
The Berlin Fat Mouse Inbred line (BFMI) is a model for obesity and metabolic syndrome. The sublines BFMI861-S1 and BFMI861-S2 differ in weight despite high genetic similarity and a shared obesity-related locus. This study focused on identifying additional body weight quantitative trait loci (QTLs) by analyzing weekly weight measurements in a male population of the advanced intercross line BFMI861-S1xBFMI861-S2. QTL analysis, utilizing 200 selectively genotyped mice (GigaMUGA) and 197 males genotyped for top SNPs, revealed a genome-wide significant QTL on Chr 15 (68.46 to 81.40 Mb) for body weight between weeks 9 to 20. Notably, this QTL disappeared (weeks 21 to 23) and reappeared (weeks 24 and 25) coinciding with a diet change. Additionally, a significant body weight QTL on Chr 16 (3.89 to 22.79 Mb) was identified from weeks 6 to 25. Candidate genes, including Gpt, Cbx6, Apol6, Apol8, Sun2 (Chr 15) and Trap1, Rrn3, Mapk1 (Chr 16), were prioritized. This study unveiled two additional body weight QTLs, one of which is novel and responsive to diet changes. These findings illuminate genomic regions influencing weight in BFMI and emphasize the utility of time series data in uncovering novel genetic factors.
Faster accurate fluorometric biosensing of E. coli by preconcentration on a green-synthesized Ag/Fe 3 O 4 /chitosan nanocomposite
Authors: Moosavi Razieh , Moussavi Gholamreza 
Published: November 2023

Abstract
Simple, rapid and sensitive detection assay using magnetic Ag/Fe3O4/Chitosan (Ag@IO@CS) nanocomposite, was developed for efficient removal, preconcentration and fluorometric determination of trace amounts of Escherichia coli (E. coli) bacteria. For the first time, preconcentration on the green prepared nanocomposite was combined with fluorometric detection to quantify ultralow concentrations of E. coli, and several parameters of the proposed methodology were investigated. Combination of nanocomposite adsorption and magnetic separation was used to easily extraction followed by desorption of bacteria, therefore E. coli could be determined even in the presence of gram-positive interfering bacteria. A chemometric approach was used for the analysis of fluorescence data of different bacteria to show the non-disturbance of the interferences as well. Stable magnetic silver and chitosan nanocomposite showed outstanding physical and chemical properties of consisting nanomaterials besides magnetic separation capability that make this nanobiosensor excellent scaffolds for the construction of the unique probe for E. coli bacteria.
Mild intellectual disability and borderline intellectual functioning in two sisters with a 12p11.22 loss: A case report
Authors: Choi Haemi , Kim Jeong-A , Cho Kyung-Ok , Kim Hyun Jung , Park Min-Hyeon 
Published: November 2023

Abstract
Background
Multiple genome sequencing studies have identified genetic abnormalities as major causes of severe intellectual disability (ID). However, many children affected by mild ID and borderline intellectual functioning (BIF) lack a genetic diagnosis because known causative ID genetic mutations have not been identified or the role of genetic variants in mild cases is less understood. Genetic variant testing in mild cases is necessary to provide information on prognosis and risk of occurrence.
Case presentation:
We report two sibling patients who were 5 years 9 months old and 3 years 3 months old and presented to the hospital due to developmental delay. Clinical assessment and chromosomal microarray analysis were performed. The patients were diagnosed with mild intellectual disability (ID) and borderline intellectual functioning (BIF). Genetic analysis identified a loss of 12p11.22, including the OVCH1-AS1, OVCH1, and TMTC1 genes, which was the only variant that occurred in both sisters. Identical variants were found in their father with probable BIF. Neither patient presented any brain structural abnormalities or dysmorphism, and no exogenous factors or parenting problems were reported.
Conclusions
Loss of 12p11.22 may be associated with our patients’ cognitive impairment. The OVCH1, OVCH1-AS1 and TMTC1 variants identified in this study are the most likely disease-causing genes in the sisters. Our findings may expand as yet limited knowledge on mild ID and BIF causative variants, which would further support the diagnosis even if the severity is mild.
Investigation of Cement Kiln Process for Reducing Environmental Emissions
Authors: Hashemi Mohammad Ajam. Marziyeh Hashemi Marziyeh 
Published: November 2023

Abstract
The cement industry is one of the world's most important strategic industries, essential to every country's economic and infrastructure development. Also, its production is recognized as one of the growth indicators for any country. In cement production, the rotary cement kiln is one of the main components that play a significant role in producing environmental pollutants such as NOX, VOC, CO, and CO2. Hence, this research aims to determine the concentration of pollutants gases and investigate ways to reduce their emissions, especially carbon monoxide, in different conditions in the cement kiln process. The rotary kiln is a Horizontal cylinder inclined with a relatively gentle slope, in which the raw materials with air flow have direct and counter contact. For this purpose, the kiln process was modeled and optimized using the equations of transfer phenomena, operational variables, and chemical reactions. Also investigated were primary and secondary reactions resulting from incomplete combustion. Results demonstrated that increasing excess air from 0–30% decreases exhaust gas concentration. Also, if the extra air is raised to 30%, the kiln performance efficiency and the combustion flame model do not show significant variations, and the CO mass fraction decreases.
Limited memory gradient methods for unconstrained optimization
Authors: Ferrandi Giulia , Hochstenbach Michiel E. 
Published: November 2023

Abstract

The limited memory steepest descent method (LMSD, Fletcher, 2012) for unconstrained optimization problems stores a few past gradients to compute multiple stepsizes at once. We review this method and propose new variants. For strictly convex quadratic objective functions, we study the numerical behavior of different techniques to compute new stepsizes. In particular, we introduce a method to improve the use of harmonic Ritz values. We also show the existence of a secant condition associated with LMSD, where the approximating Hessian is projected onto a low-dimensional space. In the general nonlinear case, we propose two new alternatives to Fletcher's method: first, the addition of symmetry constraints to the secant condition valid for the quadratic case; second, a perturbation of the last differences between consecutive gradients, to satisfy multiple secant equations simultaneously. We show that Fletcher's method can also be interpreted from this viewpoint.
AMS Classification: 65K05 , 90C20 , 90C30 , 65F15 , 65F10
Exploring the Intersection of Empathy and Behavior Change Techniques in Telehealth Coaching Messages: A Survey Study
Authors: Velasco Elena Rey , Laursen Ditte , Skinner Timothy 
Published: November 2023

Abstract

Background: The global rise in noncommunicable diseases (NCDs) demands innovative public health strategies. Key NCD risk factors are lifestyle-related, emphasizing the importance of behavior change (BC) interventions. Here, empathy plays a pivotal role by fostering rapport, enhancing patient-provider communication, and promoting an individual's motivation to change. However, the role of empathy in BC interventions and its potential intersection with BC techniques (BCTs) remains understudied, especially in telehealth. This study seeks to investigate this intersection in the context of asynchronous health coaching.
Methods: We conducted a two-round survey with 11 health coaches (HCs) who responded to 10 participant messages from the Bump2Baby and Me trial. In total, we examined 88 HC messages for empathic responses and the presence of techniques from the taxonomies of BC techniques (BCTs), Motivational BCTs (MBCTs), and Self-Determination Theory techniques (SDTTs).
Results: We identified 121 empathic responses that strongly overlapped with MBCTs (79%, n=213) in the form of Praise (47%, n=100) via unconditional positive regard and acknowledging patient perspectives and feelings, and Normalizing (23%, n=49) via neutral support and unconditional regard. While BCTs and SDTTs showed no substantial overlaps with empathic responses, 67% of BCTs elicited participants’ feelings and views about their coaching program.
Conclusions: The role of MBCTs in empathy expressions boosts patient engagement and self-perception, fostering relatedness. BCTs supported a patient-centered approach by empowering patients to articulate and plan their goals, which promotes autonomy. The lack of alignment in other categories suggests that considering empathy and BC techniques in isolation provides an incomplete picture of BC interventions.
Ultra-compact and efficient photonic waveguide bends with different configurations designed by topology optimization
Authors: Irfan Sabaina , Kim Jae-Yong , Kurt Hamza 
Published: November 2023

Abstract
Transporting light signals over the corners and sharp bends imposes high optical loss and distortion on the mode profiles. Usually, bends with larger radii are used in circuits to minimize the loss over transmission, resulting in a severe limitation in integration density. In this paper, we propose novel topology-optimized L-bend and U-bend structures designed for a 220 nm silicon-on-insulator (SOI) platform. Optimized L-bends with footprints of 2.5 µm×2.5 µm, 1.5 µm×1.5 µm, and 1 µm×1 µm show maximum insertion losses of only 0.07 dB, 0.26 dB, and 0.78 dB, respectively. For optimized U-bends with footprints of 3 µm×3.6 µm, 2.5 µm×2.5 µm, and 1.5 µm×1.5 µm, the maximum insertion losses are 0.07 dB, 0.21 dB, and 3.16 dB. These optimized bends reduce the maximum insertion loss by over 50% compared to un-optimized arc-type bends across a broad wavelength range of 1450–1650 nm. Experimental verification of a meander line with 16 optimized U-bends (3 µm×3.6 µm) demonstrates a 1.46 dB transmission at 1550 nm, agreeing with simulated results and indicating a high potential of loss reduction with optimized bends.
Anticancer drug synergy prediction based on CatBoost
Authors: Li Changheng , Guan Nana , Zhang Hongyi 
Published: November 2023

Abstract
Background
The research of cancer treatments has always been a hot topic in medical field. Cancer monotherapy as a common therapy has been proven to have many disadvantages such as toxicity and drug resistance. With the development of network pharmacology, multi-targeted combination drugs have become an ideal option for cancer treatment. Since the number of potential drug combinations is very huge, it is not feasible to use clinical experience or high-throughput screening to identify the complete combinatorial space. Methods such as machine learning models offer the possibility to explore the combinatorial space effectively.
Results
In this work, we proposed a machine learning method based on CatBoost to predict the synergy scores of anticancer drug combinations on cancer cell lines, which utilized oblivious trees and Ordered Boosting technique to avoid overfitting and bias. The model was trained and tested using the data screened from NCI-ALMANAC dataset. The drugs were characterized with morgan fingerprints, drug target information, monotherapy information, and the cell lines were described with gene expression profiles. In the stratified five-fold cross-validation, our method obtained excellent results and performed significantly better than three other advanced models. Additionally, when using SHAP to interpret the biological significance of the prediction results, we found that those genes with some associations with cancer occurrence played an important role in the prediction effect.
Conclusions
The model based on CatBoost has good quality for predicting drug synergy and could be considered as an optional method for anticancer drug combination research.
An investigation of the intention and reasons of senior high school students to apply for pediatrics major
Authors: Liu Wan-xin , Zhu Kai , Long Zhi , Lv Chen-cong , Yang Chao-qun , Deng Guo-ying , Wang Qian 
Published: November 2023

Abstract

Objective To serve as a resource for scientific recruitment techniques, it is necessary to investigate the current state of senior high school students' willingness to apply for pediatrics majors and study the pertinent affecting elements.
Methods An anonymous questionnaire was distributed to 8050 high school students. The questions covered the following topics: students’ intention to apply for pediatrics, personal and family information, factors impacting a student's choice of major, and cognizance of the state of pediatrics (including education and working conditions). univariate and multivariate logistic regression analysis and chi-square tests were used to compare students with and without a clear pediatric intention and to explore influencing factors.
Results Only 6.4% (513/8050) of senior high school students had intention to apply for pediatrics (IAP). The goal was directly tied to private and family information. Students' IAP is favorably connected with their interests and well-defined career objectives, particularly when considering COVID-19. The way that students view pediatric illnesses has an impact on their willingness as well. Students' significant decisions are influenced by their understanding of pediatrics; the more positive their perceptions are of the remuneration and working circumstances for physicians, the more probable it is that they will have an IAP.
Conclusion: This survey reveals the hesitancy of high school students in selecting pediatrics as their career path and explores potential contributing factors. Furthermore, these findings offer insights into the development of healthcare services in emerging economies.
An Adaptive and Late Multimodal Fusion Framework in Contextual Representation based Evidential Deep Learning Dempster-Shafer Theory
Authors: Eldin Doaa Mohey , Hassanein Aboul Ella , Hassanien Ehab E 
Published: November 2023

Abstract

There is a growing interest in multidisciplinary research in multimodal synthesis technology to stimulate diversity of modal interpretation in different application contexts. The current literature review focuses on modality-based systems in a specific known context and leaves a gap in fusing multiple modality data types in different contexts. Therefore, there seems to be a real requirement for an analytical review of recent developments in the field of data fusion. The real requirement for modality diversity across multiple contextual representation fields is due to the conflicting nature of data in multi-target sensors, which introduces other obstacles including ambiguous, uncertain data, imbalance and redundancy in multi object classification. Additionally, there is lack of frameworks that can analyze offline stream data to identify hidden relationships between different modal data types and different modal counts. Additionally, the lack of a multimodal fusion model capable of determining the extraction conditions of the extracted fusion data has led to low accuracy rates in classifying objects across modalities and systems.
This paper proposes a new adaptive and late multimodal fusion framework to interpret multiple modalities and contextual representations using evidence-enhanced deep learning-based Dempster-Shafer theory. The proposed multimodal fusion framework is a MultiFusion learning model solution to solve the Modality-and context-based fusion to improve remote management, intelligent systems, and decision making. The proposed multimodal fusion framework can address the contradictory nature of data uncertainty, diversity of methods, factors, conditions, and relationships for multimodal explanation in multi-context systems to improve decision making and control in diverse contextual representations. Furthermore, this research provides a comparative analysis of the current fusion and prior multimodal data fusion models, explaining the differences of the construction analysis, mathematical analysis of fusion models, pros, and cons of them. In addition, this research presents a comparative analysis between the proposed framework with previous published fusion frameworks, exploring their concepts, advantages and problems, drivers, and current techniques. The experimental accuracy results in multimodalities experiments and multi-context using the proposed multimodal fusion framework is 98.45%. Additionally, some future research directions are discussed.
Optimizing Fermentation Process and Sensory Acceptability of Traditional Banana Beer (Urwagwa) Using a Bioprocess method
Authors: Uzabakiriho Thierry , Osinachi Uzodinma Eunice Uche 
Published: November 2023

Abstract
This research study was conducted to optimize the fermentation process and sensory acceptability of traditional banana beer using Mixture design. Banana beer samples were produced from blends of banana juice, malted or non-malted sorghum, water, and hops. Saccharomyces Cerevisiae was used to ferment banana beers. Traditional banana beers were coded (S1, S2, S3) while improved banana beers (S4, S5,S6,S7,S8,S9,S10,S11, and S12) were produced by fermenting the mixture of banana juice under room temperature and pressure. The experimental design was based on Mixture I-optimal design using Design Expert software version 11.0. Experimental constraints were: 0.5≤A ≤0.9; 0.05≤ B ≤0.37; 0≤ C ≤0.05; 0≤ D ≤0.30, A, B, C and D represented banana juice’s brix, sorghum flour/malt, hops and water respectively. Produced samples were subjected to alcohol content, pH, methanol, Total Soluble Solid, Titratable Acidity (TA), Standard Reference Method (SRM) and sensory analyses. The alcohol content ranged from 3.75±1.06 - 6.12±0.70 % and the highest was obtained at the optimum pH of 4.15±0.07. The pH in all samples ranged from 3.53±0.14 - 4.78±0.05. Methanol content ranged from0.01±0.00 % to 0.76±0.02 %. Total Soluble Solid (TSS), TA, and SRM results were 2.00±0.00 - 24.00±2.82oBrix, 0.13±0.02 - 0.29±0.00%, and 6.08±0.24 - 12.14±0.52 respectively. Synergistically roasting, malting and mashing of sorghum significantly (p<0.05) helped to get the desired sensory characteristics of banana beers. Thus, the overall acceptability scores of traditional and improved banana beers ranged from 4.60±1.39 - 5.05±1.14 and 5.35±2.25 - 7.00±1.29 respectively.
Unpacking the hustles in illegal trade practices and control: evidences from the major contraband hotspots
Authors: Derege Alemayehu , Ahmed Abdi , Nagesso Kasahun 
Published: November 2023

Abstract
The increasing volume of illicit cross-border trades in the Horn of Africa, particularly in Ethiopia, has significant economic and social impacts. Regulatory measures to contain this issue face challenges, as many people in border areas rely on contraband trade and informal businesses for their livelihoods and access to essential goods. To shed light on this issue, this study examined contraband practices, the regulatory framework, and the socio-economic consequences in Oromia regional state. The study used both secondary and primary data, collected through a two-stage cluster sampling method, involving both private and public actors in illegal trade practices along major contraband corridors. Structural Equation Modeling (SEM) and logistic regression were applied to estimate latent theoretical constructs related to illegal trade activities and their inter-relationships. First, indices were estimated using SEM, and then the links between the obtained composite measures and key economic variables were estimated using logistic regression. The study findings reveal significant relationships between regulatory quality and illegality. A 10% increase in contraband trade corresponds to a 1.4% decrease in tax payment. The expansion of contraband trade from a lower to higher scale hampers local linkage development by 66 percentage points. Lack of coordination and collaboration among government structures and stakeholders is identified as a key issue. Addressing these gaps in the regulatory framework and fostering cooperation among governance structures are crucial for effective short and long-term solutions. Governments should take realistic actions, including collaboration with neighboring countries, to combat unregulated cross-border trade.