bluuebunny/crossref_metadata_2025_split huggingface dataset:
A systematic review of 3D printing in autologous breast reconstruction
Authors: Carrion Kassandra , Akhter Maheen F. , Bernal Carter , Cox Elizabeth , Krakauer Kelsi , Mohan Anita Tanniru , Nazerali Rahim S. , Lee Gordon K. , Nguyen Dung 
Published: June 2024

Aim: The use of three-dimensionally printed (3DP), patient-specific models in autologous breast reconstruction is gaining popularity, namely for their benefits in surgical planning and ability to aid in aesthetic outcomes. Furthermore, 3DP patient-specific models serve as a safe alternative to intraoperative surgical training and act as a useful tool for visualizing the intramuscular course of deep inferior epigastric perforator vessels. Despite demonstrated usefulness in other surgical specialties and areas of plastic surgery, there remains a significant gap in the literature exploring specific perioperative, preoperative, and intraoperative uses as well as the educational advantages of 3DP in autologous breast reconstruction.
Methods: PubMed, MEDLINE, EMBASE, Scopus, and the Cochrane Central Register of Controlled Trials were searched for all English language articles using specific MeSH terms (3dp OR 3D-print* OR three dimension* print*) AND (breast reconstruction). Only studies discussing the use of 3DP for surgical planning or as an educational tool in autologous breast reconstruction were included. Studies using 3DP as interventions or implants were excluded.
Results: A total of 168 articles were identified, 13 of which were selected for inclusion. Risk of bias was low for 8 articles and moderate for 5 articles. Seven (53.8%) articles discussed 3DP usage in preoperative planning. Most papers (12, 92.3%) focused on 3DP models as guides for intraoperative identification of anatomical landmarks and 3DP molds as tools to achieve desired breast volume, shape, and projection. Only 4 (30.7%) articles discussed patient outcomes. Of the 4 (30.7%) articles that discussed education, only one of these properly assessed trainees and faculty using pre- and post-intervention surveys.
Conclusion: The majority of 3DP research as an intraoperative guide and educational tool is concentrated outside of autologous breast reconstruction. Studies that do discuss this have found significantly higher success rates in dissecting true DIEP flaps when 3DP vascular modeling is used and can result in improved confidence and competence in surgical training for microsurgical anastomosis. Although 3DP has been shown to aid microsurgeons in preoperative planning, most research concentrates on the aid of this novel technology in dynamic, intraoperative decision making. Existing research has identified five 3DP breast molds, but studies have yet to compare these molds in a controlled setting to assess for superiority in feasibility and outcomes. There is little investigation into the usefulness of 3DP as an educational tool, and more research should be conducted as this methodology expands to cover more forms of autologous breast reconstruction.
Contribution Of Self Determination To Encourage Student Academic Performance In Online Learning
Authors: Candrawati Krisnita 
Published: June 2024

The aim of this study is to examines the role of self-determination in encouraging student academic performance through online learning. Using TTF framewor, this study uses a quantitative approach with path analysis. The population used is Yogyakarta students while the sample used is 162 students. Analysis using partial regression analysis (Partial Least Square-Structural Equation Model (PLS-SEM). The software used is smartPLS 3.0. The results showed that there is a mediating role of user satisfaction in the influence of student self determination on academic performance. This research shows that self-determination is a variable that higher education managers should consider when implementing online learning. This research adds a self-determination variable to the TTF framework. This is based on the phenomenon of minimal participation in online learning. This research also confirms the TTF framework on performance which has never been studied in a higher education setting. The implications of this research underscore the importance of SD as a component in online learning that higher education managers should pay attention to. The results of this study explain that SD effects AP through student satisfaction in participating in online learning
Intraspecific Differentiation of <I>Francisella tularensis</I> Strains Using Molecular-Genetic Methods. Complex Approach
Authors: Osina N. A. , Sitmbetov D. A. , Morozov O. A. , Bulgakova E. G. , Osin A. V. , Chekmareva S. S. , Sazanova E. V. , Senichkina A. M. , Lyashova O. Yu. , Polunina T. A. , Krasnov Ya. M. , Devdariani Z. L. , Shcherbakova S. A. 
Published: July 2024

The aim of the study was to develop an algorithm for intraspecific differentiation of tularemia agent strains using a set of approaches based on amplification and sequencing technologies.Materials and methods. 97 strains of Francisella tularensis of various subspecies, biovars and subpopulations from the State Collection of Pathogenic Bacteria of the Russian Research Anti-Plague Institute “Microbe” were used in the work. The intraspecific identification of tularemia agent strains was carried out using the “F. tularensis-4c” system; analysis of the variability of the RD1 differentiation region, the sdhA gene, by applying the disk diffusion method using disks with erythromycin. Fragment Sanger sequencing was performed on a 3500 XL genetic analyzer (Applied Biosystems, USA) taking into account the manufacturer’s recommendations. Sequence homology assessment was conducted using the BLAST algorithm, the GenBank NCBI database, MEGA11 v11.0.13 and Unipro UGENE v50.0 software.Results and discussion. Subspecies- and biovarspecific mutations have been detected in the 23S rRNA gene. Promising regions of this gene for further investigation have been identified using fragment sequencing. A comprehensive scheme for intraspecific differentiation of tularemia microbe strains has been put forward, where at the first stage the subspecies and biovar japonica are determined, and at the second stage, the results are verified based on the determination of mutations in the 23S rRNA gene. The effectiveness of the proposed integrated approach has been confirmed in a study of 97 collection strains of tularemia agent. The conducted research allows for rapid identification of tularemia agent strains of different subspecies and verification of their taxonomic appurtenance using molecular-genetic methods, expanding data on the circulation of various subspecies, biovars and subpopulations of the pathogen in Europe, Asia and other regions of the world.
Research on night-time vehicle target detection based on improved KSC-YOLO V5
Authors: Guo Jun , Shao MengZhen , Chen XinYu , Yang Yang , Sun EnHui 
Published: July 2024

Abstract

In challenging night-time settings, drivers often struggle to discern nearby vehicles accurately, resulting in traffic incidents caused by intricate lighting conditions and the dim visibility, blurring, and occlusion of vehicles. To address this issue, this study introduces an advanced method utilizing the enhanced YOLOv5 algorithm, designed to improve the detection of vehicles during night driving and ensure detection accuracy in low-light environments. Initially, SKAttention is integrated into the network's Backbone layer to address overlapping and redundant information within the model. This is achieved by generating multiple pathways with varying convolutional kernel sizes, which correspond to the different sensory field sizes of neurons, thus enhancing information processing efficiency. Subsequently, the model's original up-sampling operator is replaced with the Content-Aware Feature Reorganization (CARAFE), leveraging underlying content information to predict the reorganization kernel and reassemble predefined neighborhood features. This ensures the preservation of feature map quality post-zooming. Moreover, the incorporation of SIOU significantly enhances the model's ability to pinpoint defect locations with greater accuracy, leading to improvements in both training speed and inference accuracy. Experimental outcomes demonstrate that the optimized model, KSC-YOLOv5, surpasses the baseline YOLOv5 model, showing a mean average precision (mAP) increase of 2 percentage points to 91.2%. Additionally, when compared with other iterations of the YOLO algorithm, KSC-YOLOv5 exhibits superior performance in terms of average detection accuracy. This refined model effectively navigates the challenges posed by inadequate lighting and vehicle blurring in nocturnal environments, achieving precise vehicle detection.
Photocatalytic Performance of Pristine NiO and Ni6MnO8 Nanopowders in Degradation of Rose Bengal Dye
Authors: chamola Shailendra , Kala Shubhra 
Published: July 2024

Abstract

The present paper describes synthesis of nickel oxide and Ni6MnO8 nanopowders by simple hydrothermal technique. During the synthesis of nickel oxide by hydrothermal process addition of Mn source resulted in the formation of Ni6MnO8. X-ray diffraction analysis has confirmed the formation nickel oxide and Ni6MnO8 both having cubic structures. The average crystallite size decreases from 20 nm to 12 nm on increasing Mn source concentration during the synthesis of nickel oxide. Rectangular, hexagonal and triangular faceted structures were revealed from the scanning electron microscopic images. Ni6MnO8 nanopowder found to display optical bandgap around 2.65 eV. The photocatalytic properties of synthesized nickel oxide and Ni6MnO8 nanopowders were measured by using Rose Bengal dye under UV illumination. Enhancement in the photocatalytic activity was noticed in the case of Ni6MnO8 nanopowder as compared to nickel oxide nanopowder. Nearly 90% dye degradation was observed on utilizing Ni6MnO8 nanopowder.
A new two-step robust strategy for estimating the line of sight rate of optical seekers having time delay
Authors: Karimi Jalal , Mohammadnejad Saeid , Babaie Alireza 
Published: July 2024

Abstract

The current research is dedicated to line-of-sight rate estimation for a pitch-yaw gimballed imaging infrared seeker mechanism. The line of sight rate estimation problem has a highly nonlinear dynamic that is affected by various error sources such as measurement noise, significant coupling of vehicle channels, and time-delayed seeker detector measurements along with unknown target maneuvers. In order to consider these error sources, a new line-of-sight rate estimation approach is proposed via a two-step strategy. In the first step, an adaptive discrete-time super-twisting observer with an arbitrary convergence time approach is proposed that estimates line of sight rate, in presence of all errors except the delay. In the second step, a delay compensator is presented based on Super-Twisting Observer method to compensate the seeker delay. To increase the estimation accuracy, nonlinear dynamic equations are used and the simulations are implemented to a Software-In the-Loop test bed. The superiority of proposed approach is approved via various simulations and comparison with previously presented methods.
Analysis of the spiral structure and operating parameters of a vascular robot
Authors: Liang Liang , Xia Haoyu , Duan Xiangping 
Published: July 2024

Abstract

Designing the reasonable spiral structure and operating parameters of a vascular robot to improve the hemodynamic indicators is an important foundation for the non-invasive diagnosis and treatment of an interventional robot. This paper considers a pulsatile blood flow and an elastic blood vessel, and uses a bidirectional fluid structure interaction (FSI) method to numerically analyze the hemodynamic indicators such as blood flow velocity, blood pressure, vascular wall shear stress and vascular deformation under different spiral structures, translational speeds and rotational speeds of the interventional robot. Based on the particle image velocimetry (PIV) technology, the pulsating fluid flow field measurement system for the magnetic in-pipe robot was used to measure the fluid velocity around the robot during its precession. The results show that as the translational speed and rotational speed of the spiral robot are increased, the maximum blood pressure and the maximum deformation of the blood vessel are both slowly increased in a wavy manner. The average vascular wall shear stress is increased with the increase of the translational speed of the spiral robot, and the average vascular wall shear stress for the semicircular spiral robot is slightly greater than that for the triangular spiral robot. The distribution and magnitude of the calculated results are basically similar to those of the measured results.
The association between cardiometabolic index (CMI) and Periodontitis in US adults from NHANES (2009- 2014)
Authors: Chang Xingtao , Song Jukun , Du Xue , Sun Jiangling , Chen Xianrun , Zhang Jiqin , Luo Yi , Bai Guohui 
Published: July 2024

Abstract

Background: Cardiometabolic index (CMI) is a novel indicator to predict the risk of diseases related to obesity. This study aimed to evaluate the relationship between cardiometabolic index (CMI) and periodontitis utilizing the National Health and Nutrition Examination Survey (2009–2014).
Methods: We conducted a cross-sectional study using the National Health and Nutrition Examination Survey (NHANES) database (2009–2014) to examine the potential association between CMI and periodontitis. The study employed a weighted multivariate logistic model and dose-response curves to evaluate the association between CMI and PD, along with subgroup analysis and interaction tests to explore consistency across various populations.
Results: The study included a total of 4766 subjects. Following adjustment for all potential covariates, an increase of 1 unit in CMI was associated with a 0.16 times higher risk of periodontitis in the general population (1.16 [1.10, 1.30], p < 0.01). In the fully adjusted classification model, compared to the lowest quantile array Q1 of CMI as the reference group, the second quantile group Q2 and third quantile group Q3 had a 0.19 times (1.20 [1.02, 1.41], p < 0.05) and 0.33 times (1.33 [1.20, 1.60], p< 0.01) higher risk of periodontitis, respectively. The above results indicated that the likelihood of developing periodontitis rises in tandem with elevations in the cardiometabolic index, and the dose–response curves showed that CMI index was linearly related to the risk of periodontitis. The results of the subgroup population were consistent with the total population.
Conclusions: Our results indicated that an elevated CMI is correlated with the increased risk for periodontitis. Early intervention is needed to prevent periodontitis in those with high CMI levels.
Multi-omics analysis identifies THY1 as a gallstone risk gene
Authors: WANG XINXING , MA MINGZE , ZHU LICHAO , QIN CHUAN , SHAO SHUAI , XU XIANWEN , GAO RUXIN , ZHANG ZHENHAI 
Published: July 2024

Abstract

Background
Cholesterol gallstones are a disease with increasing incidence due to improvements in living standards. This study aims to investigate the impact of highly expressed THY1 in the gallbladder on disease progression during gallstone formation.
Methods
We conducted multi-omics analyses, including transcriptomics, proteomics, and single-cell sequencing, to examine changes in the gallbladder during gallstone formation. We used a gallstone mouse model induced by a lithogenic diet and a THY1 knockdown gallstone mouse model via sh-RNA to assess the role of THY1 in gallstone formation. HE staining and qRT-PCR were performed to measure inflammation levels in THY1 knockdown mice during gallstone formation. Western Blot, immunohistochemistry, and immunofluorescence were used to detect the expression of FN and COL I to determine the role of THY1 in ECM synthesis during gallstone progression. Kits were used to measure bile acids, phospholipids, cholesterol, and triglycerides, and the cholesterol saturation index (CSI) was calculated.
Results
THY1 expression was significantly elevated in gallbladder fibroblasts during gallstone formation. Knockdown of THY1 alleviated gallstone formation induced by a lithogenic diet in mice. In THY1 knockdown mice, cholesterol levels in gallbladder bile were significantly reduced, bile acid concentration increased, and the CSI index decreased. Additionally, the expression of inflammatory cytokines in the gallbladders of THY1 knockdown mice was reduced, leading to decreased gallbladder inflammation. ECM synthesis in the gallbladders of THY1 knockdown mice was also alleviated.
Conclusion
This study reveals that high expression of THY1 in gallbladder fibroblasts promotes the progression of gallstones by increasing inflammation levels and ECM synthesis.
Incidence of ophthalmic manifestations in congenital cytomegalovirus (CMV)
Authors: Rossen Jennifer L. , Hindi Abdelhamid , Rahmani Safa , Bohnsack Brenda L. 
Published: July 2024

Abstract

Background
Congenital cytomegalovirus (CMV) infections are associated with eye manifestations, especially in patients with systemic disease. However, there are no ophthalmic screening guidelines for infants with congenital CMV.
Methods
Retrospective review of pediatric patients (< 18 years old, 2010–2023) with a diagnosis of congenital CMV and at least 1 eye examination. Gestational age at birth, systemic findings, and ophthalmic findings at initial and final eye examinations were collected.
Results
Seventy-two patients (47% male) with congenital CMV underwent initial eye examination at 2.1 ± 2.9 years of age (median 0.3 years). Thirty-one patients (43%) only had one eye examination while 41 patients had follow-up (1 month-19 years). Fifty-two patients (72%) had systemic findings, most commonly hearing loss (50%), neurologic abnormalities (39%), and developmental delay (38%). Patients born < 36 weeks gestation (n = 15) had a higher rate of systemic findings, neurologic abnormalities, developmental delay, and intrauterine growth restriction compared to full-term patients. Twenty-four (33%) patients had ocular findings and all also had systemic manifestations. Strabismus (26%) and optic nerve abnormalities (17%) were most common. Only 2 patients (3%) were diagnosed with retinitis, which was detected at initial examination.
Conclusions
One-third of patients with congenital CMV had ocular findings in conjunction with systemic manifestations. Retinitis was rare and detected on initial eye examination. While initial screening for retinitis is important, patients with systemic sequelae of congenital CMV are at risk for other eye manifestations and require continued follow-up.
Evaluation Model for Equipping Urban Regions with Intelligent Transportation Based on the Combination of Euclidean and Manhattan Distances
Authors: Dorji Yasamin , Rafsanjani Ali Khaksari , AsadAmraji Morteza 
Published: July 2024

Abstract

Nowadays, the stratification of transportation has led to an enhancement of efficiency and a reduction in traffic and transportation issues. Intelligent transportation requires smart systems and equipment. This study presents a novel method for evaluating intelligent transportation systems (ITS) in urban regions. It emphasizes the necessity of assessing ITS quality and quantity in cities to determine the effectiveness in different urban regions. The research adopts a mixed-method approach to devise an evaluation model, focusing on five urban regions of Tehran (regions 3, 4, 12, 10, and 22). Thirteen indicators were selected to assess ITS development through multi-criteria decision-making methods, combining Shannon Entropy and best-worst methods to measure criteria effectively. Data were gathered via a questionnaire targeted at urban planning and transportation experts, producing 70 valid responses from an online survey. The evaluation employed the CODAS method, recognized for its robust control features. Results identified "The number of intelligent central control systems for traffic lights at intersections" as the pivotal indicator, with region 4 of Tehran scoring the highest. These findings provide crucial insights for scholars and policymakers, enhancing understanding of ITS evaluation and supporting budget allocations for such systems. The research's innovation lies in its unique approach to ITS assessment, integrating both quantitative data and expert opinions, which establishes a comprehensive framework for future evaluations in urban transportation planning. This contributes significantly to the academic and practical realms of transportation engineering, offering a strategic perspective on the deployment and enhancement of intelligent transportation frameworks in urban regions.
Estimation of redundancy in microbial genomes
Authors: Bohlin Jon , Pettersson John H.-O. , Pettersson John H.-O. 
Published: July 2024

Abstract

Background
Microbial genomes vary considerably both with respect to size and base composition. While the smallest genomes have less than 200,000 base pairs, or nucleotides, others can consist of millions. The same is true for genomic base composition, often summarized as genomic AT or GC content due to the similar frequencies of (A)denine and (T)hymine on one hand and (C)ytosine and (G)uanine on the other; the most extreme microbes can have genomes with AT content below 25% or above 85%. Genomic AT content influences the frequency of DNA words, or oligonucleotides, consisting of multiple nucleotides. Here we explore to what extent genome size, AT/GC content and genomic oligonucleotide usage variance (OUV) are linked to microbial genome redundancy, or compression rate, as measured using both a DNA based- (MBGC) and a general purpose (ZPAQ) compression algorithm on 4,713 RefSeq genomes.
Results
We find that genome size (p < 0.001) and OUV (p < 0.001) are both strongly associated with genome redundancy for both types of file compressors. The DNA based MBGC compressor managed to improve compression with approximately 3% on average with respect to ZPAQ. Moreover, MBGC detected a significant (p < 0.001) compression ratio difference between AT poor and AT rich genomes that was not detected with ZPAQ.
Conclusion
As lack of compressibility is equivalent to the presence of randomness, our findings suggest that small and AT rich genomes may have accumulated more random mutations on average than larger and AT poor/GC rich genomes, which, in turn, were significantly more redundant. Moreover, we find that OUV is a strong proxy for genome compressibility in microbial genomes. The ZPAQ compressor was found to agree with the MBGC compressor, albeit with a poorer performance, except for the compressibility of AT-rich and AT-poor genomes.