bluuebunny/crossref_metadata_2025_split huggingface dataset:
A combined calibration method for workpiece positioning in robotic machining system and a hybrid optimization algorithm for improving the TCP calibration accuracy
Authors: Hao Daxian , Zhang Gang , Zhao Huan , Ding Han 
Published: December 2023

Abstract
This paper addresses the robot machining requirements for large aerospace structural components and provides a method for rapid workpiece positioning in robot machining systems that combines the ease of visual measurement-based positioning with the precision of contact-based positioning. In order to enhance the precision of the robot calibration system, this paper introduces a method that utilizes a ruby probe as a calibration tool to perform a sphere-to-sphere contact calibration of the Tool Center Point (TCP). A robot contact calibration model is established, converting the calibration problem into a non-linear least squares optimization problem. To address the challenges of multi-dimensional non-convex continuous optimization, the paper designs a combined LM-D algorithm that incorporates the Levenberg-Marquardt (L-M) algorithm and the DIRECT algorithm, engaging in mutual iterative processes to obtain the global optimum. This approach ensuring algorithm efficiency while maximizing the potential for a global optimum solution. In the algorithm, an iterative convergence termination criterion for robot TCP calibration is established, which is used to determine whether the algorithm converges globally. This criterion also contributes to improving the algorithm's efficiency. Experimental tests were conducted on typical industrial robots, and the results illustrate the algorithm's superior performance in terms of both global convergence and high iteration efficiency compared to traditional methods. This research offers a promising and efficient solution for robot TCP calibration in industrial.
Manual skills workshops for primary care physicians in Israel: A comprehensive analysis
Authors: Rosenblum Omer , Yehoshua Ilan , Adler Limor , Liran Ori 
Published: December 2023

Abstract

Background Some of the most common complaints addressed by primary care physicians (PCPs) require manual interventions, such as lacerations repair, abscesses drainage, ingrown toenails removal, dry needling for myofascial pain syndrome, and Epley maneuver for treating benign paroxysmal positional vertigo (BPPV). The aim of this study was to describe the manual skills workshops program for PCPs, implemented in Maccabi Healthcare Services and to investigate how many PCPs participated and used the skills since the program's inception in 2017. Methods In this observational study, we followed all participants in courses that were held during 2017–2021. We extracted all procedures that were made during these years by PCPs in MHS who learned the skill. Results During the study period, 620 PCPs participated in workshops for dry needling, soft-tissue and joint injections, BPPV treatment, minor surgical procedures, and spirometry. Most procedures performed were dry needling (average annual number 3,537) and minor surgical procedures (average annual number 361). The average annual use per physician was highest for dry needling (annual average use per physician who used the learned skill was 50.9), followed by soft tissue and joints injections (16.8), minor surgical procedures (14.8) and BPPV treatment (7.5). Conclusion Manual skills workshops may expand PCPs' therapeutic arsenal, thus empowering PCPs and providing more comprehensive care for patients. Some manual skills, such as dry needling, soft tissue injections, and the Epley maneuver, were more likely to be used by participants than other skills, such as spirometry and soft tissue injections.
The Effect of Somatic Pain and Comorbid Mental Distress on Oral Health-Related Quality of Life in Orthodontic Patients
Authors: Xie Yaxin , Zheng Xinrui , Li Yuanhong , He Jiayue , Wang Peiqi , Han Xianglong 
Published: December 2023

Abstract

Objectives:The purpose of the present study was to evaluate the prevalence of somatic pain in orthodontic patients and determine whether somatic pain contributes to worsening oral health-related quality of life (OHRQoL)through the mediating effect of psychological discomfort.
Materials and Methods: Scale measurements and analyses were conducted on a cohort of 769 orthodontic outpatients, encompassing Patient Health Questionnaire-15-pain (PHQ-15-P), Hua-Xi Emotional-Distress Index (HEI),Psychosocial Impact of Dental Aesthetics Questionnaire (PIDAQ), and Oral Health Impact Profile-14 (OHIP-14).
Results: Among the respondents, 56.3% (N = 433) reported somatic pain and 20.0% (N = 154) had mental discomfort based on PHQ-15-P and HEI scores. Patients with somatic pain symptoms had significantly higher scores of HEI and OHIP-14 (P < 0.001), and higher PHQ-15-P and HEI scores emerged as statistically significant predictors of lower OHIP-14 scores (P < 0.001). HEI scores which assessed anxiety and depression partially mediated the correlation between PHQ-15-P and OHIP-14 scores, of which anxiety accounted for 52.9% of the overall mediation effect, dominating the indirect effect.
Conclusion: Orthodontic patients reporting somatic pains were at a significantly higher risk of worsening OHRQoL during treatment, and this adverse effect is partially mediated by anxiety and depression.
Clinical Relevance: Our findings highlight the necessity for the assessment of general health and mental well-being during orthodontic interventions. To prevent delays in treating general disorders and the potential failure of orthodontic treatments, we encourage increased awareness and attentiveness towards patients with somatic symptoms and consideration of the adverse effects of comorbid mental distress.
A data-driven short video international communication model based on indicator system based communication network and attention based BiLSTM neural network
Authors: Song Jinbao , Liu Jing 
Published: December 2023

Abstract
As one of the most popular ways to disseminate Internet content in the current era of media convergence, short videos have increasingly become part of people’s daily lives. This paper takes TikTok as the research object, focusing on the study of short video communication process. Firstly, the key objective indicator system about international communication of short videos is constructed, the definition, selection and design logic of key objective indicators are introduced, the construction idea of the corresponding indicator system is proposed, and then the key objective indicator system about international communication of short videos and related data set are constructed. Secondly, an international communication network model for short videos is built. The construction of this network model is divided into three steps, the construction of the short video communication network KOIS-PN based on the key objective indicators system, the construction of AT-BiLSTM neural network model, the construction of an international communication network model of short videos combining KOIS-PN and AT-BiLSTM. Thirdly, the performance of the core theoretical model proposed in this paper is verified. The experimental results show that, the KOISPN-ATBiLSTM international communication network model of short videos has certain validity and advancement.
A model for the estimation of height and body mass index from arm span and to determine the socio-demographics characteristics: a case study of Bowen University Students
Authors: Adebajo AO , Ojo G B , Adebajo K P , Ojo J H , Ayoade O H , Awolola A M , Uduakabong S 
Published: December 2023

Abstract
Arm span is the most reliable anthropometric measurement to predict the stature of an individual. Arm span, hand length, foot length, head circumference etc., have been proven to be useful to correctly estimate the height of a person. This study was intended to derive a model for the estimation of height and body mass index from arm span and also to determine the socio-demographics characteristics of the participants. Samples of 500 students in Bowen University were used for this research (250 males and females respectively) with varying ethnicity. Heights were measured accurately while Weight was taken using a standard calibrated weight scale; arm span measurement. Analyzed by Pearson’s correlation, the results analysis showed a significant effect of arm span on height on males, and a significant effect of height on BMI in both sexes. There is a significant effect of arm span on BMI on male and no significant effect in females; results from t- test indicated sexual dimorphism in height and arm span but not in BMI.
Deregulation in adult IgA vasculitis skin as the basis for the discovery of novel serum biomarkers
Authors: Bajželj Matija , Hladnik Matjaž , Blagus Rok , Jurčić Vesna , Markež Ana , Toluay Tanya Deniz , Sodin-Šemrl Snežna , Hočevar Alojzija , Lakota Katja 
Published: December 2023

Abstract
Introduction
Immunoglobulin A vasculitis (IgAV) in adults has a variable disease course, with patients often developing gastrointestinal and renal involvement and thus contributing to higher mortality. Due to understudied molecular mechanisms in IgAV currently used biomarkers for IgAV visceral involvement are largely lacking. Our aim was to search for potential serum biomarkers based on the skin transcriptomic signature.
Methods
RNA sequencing analysis was conducted on skin biopsies collected from 6 treatment-naïve patients (3 skin only and 3 renal involvement) and 3 healthy controls (HC) to get insight into deregulated processes at the transcriptomic level. 15 analytes were selected and measured based on the transcriptome analysis (adiponectin, lipopolysaccharide binding protein (LBP), matrix metalloproteinase-1 (MMP1), C-C motif chemokine ligand (CCL) 19, kallikrein-5, CCL3, leptin, C-X-C motif chemokine ligand (CXCL) 5, osteopontin, interleukin (IL)-15, CXCL10, angiopoietin-like 4 (ANGPTL4), SERPIN A12/vaspin, IL-18 and fatty acid-binding protein 4 (FABP4)) in sera of 59 IgAV and 22 HC. Machine learning was used to assess the ability of the analytes to predict IgAV and its organ involvement.
Results
Based on the gene expression levels in the skin, we were able to differentiate between IgAV patients and HC using principal component analysis (PCA) and a sample-to-sample distance matrix. Differential expression analysis revealed 49 differentially expressed genes (DEGs) in all IgAV patient’s vs HC. Patients with renal involvement had more DEGs than patients with skin involvement only (507 vs 46 DEGs) as compared to HC, suggesting different skin signatures. Major dysregulated processes in patients with renal involvement were lipid metabolism, acute inflammatory response, and extracellular matrix (ECM)-related processes. 11 of 15 analytes selected based on affected processes in IgAV skin (osteopontin, LBP, ANGPTL4, IL-15, FABP4, CCL19, kallikrein-5, CCL3, leptin, IL-18 and MMP1) were significantly higher (p-adj < 0.05) in IgAV serum as compared to HC. Prediction models utilizing measured analytes showed high potential for predicting adult IgAV.
Conclusion
Skin transcriptomic data revealed deregulations in lipid metabolism and acute inflammatory response, reflected also in serum analyte measurements. LBP, among others, could serve as a potential biomarker of renal complications, while adiponectin and CXCL10 could indicate gastrointestinal involvement.
Urban Hybrid DEM Modeling Methodology Based on Multi-source Data
Authors: ZHANG Longqi , He Wenwen , Luo Yabo , Liu Xinliang 
Published: December 2023

Abstract

Building a high-resolution Digital Elevation Model (DEM) in urban areas has been a challenging task so far because of the complicated and trivial topographic character caused by dense buildings, dense artificial vegetation, such as deep manual intervention. The paper presents a heterogeneous urban DEM and modeling method based on a large-scale digital topographic map, Digital Surface Model (DSM) generated by popular UAV photogrammetry or laser radar point cloud data. The method is first to extract elevation points, contour lines, road edges, steep slopes, building outlines, retaining walls, steps, and such topographic linear elements as possible from a large-scale topographic map; then to merge elevation information from DEM, DSM, point clouds data to generate a series of 3d-lines or polygons with elevation; even to struct some necessary 3D auxiliary lines according to geometric features to some abrupt terrain features; finally to create a Triangulated Irregular Network (TIN), which is able to accurately represents the terrain, using constrained TIN create function of ArcGIS. And evaluation precision was not uniform in the data bound because of multi-source data with different precision, so it was called Heterogeneous DEM(HDEM). The experiment showed that the HDEM has high consistency with the topographic map and is more suitable for flood analysis, urban fine management, real three-dimensional construction, etc.
An augmented transformer model trained on family specific variant data leads to improved prediction of variants of uncertain significance
Authors: Joshi Dinesh , Pradhan Swatantra , Sajeed Rakshanda , Sriniva Rajgopal , Rana Sadhna 
Published: December 2023

Abstract
Variants of uncertain significance (VUS) represent variants that lack sufficient evidence to be confidently associated to a disease, thus posing a challenge in the interpretation of genetic testing results. In this work, we present an improved gene specific approach to variant prediction that leverages a pre-trained protein language model for predicting VUS. Our deep learning model combines zero-shot log odd scores from evolutionary scale model (ESM-2) as a feature along with embeddings from ESM-2 as features for training a supervised model on variants associated with the gene. Our training set creation approach uses variant data from a gene family if the gene of interest has low or no functional data for training a gene specific predictor. We demonstrated the accuracy of our method by testing it on VUS of an enzyme Alpha-N-acetylglucosaminidase (NAGLU) whose deficiency due to mutations is known to cause a rare genetic disorder, Mucopolysaccharidosis IIIB or Sanfillipo B disease. Our model augmented with contextual information from the gene family improved prediction of VUS in the NAGLUgene and outperformed state-of-the-art pathogenicity predictors. Our results also indicate that for genes with sparse or no experimental variant impact data, the family variant data can serve as proxy training data for making accurate predictions.
Discovery and Engineering of a Novel Peptide, Temporin-WY2, from Frog Skin Secretion, With Enhanced In Vitro and In Vivo Antimicrobial Efficacy against Multi-drug Resistant Bacteria
Authors: Zhou Xiaowei , Liao Fengting , Ye Zhuming , Cheng Jinsheng , Zhu Jianhua , Chen Xiaoling , Wang Tao , Jiang Yangyang , Ma Chengbang , Zhou Mei , Chen Tianbao , Shaw Chris , Wang Lei 
Published: December 2023

Abstract
Infections by drug-resistant microorganisms are a threat to global health and antimicrobial peptides are considered to be a new hope for their treatment. Temporin-WY2 was identified from the cutaneous secretion of the Ranidae frog, Amolops wuyiensis. It presented with a potent anti-Gram-positive bacterial efficacy, but its activity against Gram-negative bacteria and cancer cell lines was unremarkable. Also, it produced a relatively high lytic effect on horse erythrocytes. For further improvement of its functions, a perfect amphipathic analogue, QUB-1426, and two lysine-clustered analogues, 6K-WY2 and 6K-1426, were synthesised and investigated. The modified peptides were found to be between 8- to 64-fold more potent against Gram-negative bacteria than the original peptide. Additionally, the 6K analogues showed a rapid killing rate. Also, their antiproliferation activities were more than 100-fold more potent than the parent peptide. All of the peptides that were examined demonstrated considerable biofilm inhibition activity. Moreover, QUB-1426, 6K-WY2 and 6K-1426, demonstrated in vivo antimicrobial activity against MRSA and E. coli in an insect larvae model. Overall, QUB-1426, 6K-WY2 and 6K-1426, with dual antimicrobial and anticancer functions, are proposed as putative drug candidates for the future.
Total Knee Arthroplasty in Two Female Patients with Type 1 Diabetes- Associated Charcot Neuroarthropathy: Case Reports and a Review of the Literature Series
Authors: Lei Chao , Huang Wen-zhou , Mei Lin , Sun Kuo , Mao Xin-zhan 
Published: December 2023

Abstract
Charcot neuroarthropathy, a rare musculoskeletal disorder resulting from peripheral neuropathy.This systemic disease primarily affects the forefoot and ankle joints in diabetic patients, with type 1 diabetes cases being less frequent than type 2. The condition often leads to high disability and mortality rates due to delayed diagnosis and the absence of distinctive pathophysiological features. Knee joint Charcot neuroarthropathy, particularly in type 1 diabetes, is uncommonly reported due to the lack of standardized diagnostic and treatment protocols, notably in knee arthroplasty, which exhibits significant outcome variability. This article discusses two female type 1 diabetes patients with knee joint Charcot neuroarthropathy, characterized by poor blood sugar control, high blood glucose levels (over 20mmol/L), and elevated glycated hemoglobin. Both underwent total knee arthroplasty; one also received autologous bone grafting with titanium mesh screw fixation. The paper also reviews relevant literature.
Evaluating the influence of sarcopenia and myosteatosis on clinical outcomes in gastric cancer patients undergoing immune checkpoint inhibitor therapy
Authors: Deng Guiming , Song Haibin , Du Zhongze , Xue Yingwei , Li Yuanzhou , Song Hongjiang 
Published: December 2023

Abstract
Objective:The primary objective of this retrospective study was to assess the influence of sarcopenia and myosteatosis on clinical outcomes in patients with gastric cancer (GC) who underwent treatment with Immune Checkpoint Inhibitors (ICIs).
Methods:In this retrospective analysis, the study cohort comprised patients who had received immunotherapy for gastric cancer. Sarcopenia, evaluated at the L3 vertebral level, was determined based on pre-treatment CT scans using the Receiver Operating Characteristic (ROC) analysis to establish the optimal skeletal muscle index cut-off value. Myosteatosis was defined using the mean Skeletal Muscle Density (SMD), with a threshold value of <41 Hounsfield Units (HU) for patients with a Body Mass Index (BMI) < 25 kg/m² and <33 HU for patients with a BMI ≥ 25 kg/m². Statistical analyses, including the log-rank test and the Cox proportional hazard model, were employed to compare both Progression-Free Survival (PFS) and Overall Survival (OS). Nomograms predicting PFS and OS were developed based on the results of multivariate analyses.
Results: The study encompassed a total of 124 patients who had undergone ICIs for GC, among which 27.4% exhibited sarcopenia, and 29.8% displayed myosteatosis. Patients with sarcopenia or myosteatosis exhibited significantly reduced PFS and OS compared to those without these conditions. Furthermore, both sarcopenia and myosteatosis emerged as independent prognostic factors for PFS and OS in GC patients receiving ICIs. The prediction models for PFS and OS demonstrated C-indexes of 0.757 and 0.777, respectively.
Conclusion: The findings of this study affirm the utility of sarcopenia and myosteatosis as reliable biomarkers for forecasting clinical outcomes in patients with gastric cancer who are undergoing treatment with ICIs.
Dual strategy of La3+ doping and carbon coating enhancing the rate performance of NaTi2(PO4)3 anode materials
Authors: Liu Xiaojuan , Li Zhifeng , Zhong Xiaohui , Wang Chunxiang , Dmytro Sydorov 
Published: December 2023

Abstract
NaTi2(PO4)3 (NTP) is considered a promising anode material for sodium-ion batteries due to its open and stable framework structure. However, its poor conductivity prevents its direct application as an anode material. In this paper, a dual strategy of La3+ doping and carbon coating is proposed to improve the conductivity of NTP. The results show that the NTP-La0.06@C electrode doped with 6% La has excellent electrochemical performance, and the coulombic efficiency is up to 95.31% in the first cycle. The initial specific capacity is 103.05 mAh·g− 1 with a capacity retention of 97.30% after 1000 cycles at 10C rate. Even after 2000 cycles, there is still a specific capacity of 98.62 mAh·g− 1 with a capacity retention of 92.71%, and as well as the NTP-La0.06@C has a higher Na+-insert diffusion coefficient of 3.19×10− 11 cm2·s− 1 than the pristine NTP@C of 2.35×10− 11 cm2·s− 1 during charging. Therefore, the La3+ doping and carbon coating strategy shows great potential in improving the performance of NaTi2(PO4)3 anode materials.
Exploring the role of HOXB13, a regulator gene, in fatty acid metabolism and gastric epithelial cell intestinalization during Helicobacter pylori Infection: insights from single- cell RNA sequencing analysis
Authors: Chen Si-Hai , Qiu Jia-Yu , Peng Jian-Xiang , Hu Yi , Zhao Ru-Lin , Gong Xiao-Ling , Xie Jun , Li Nian-Shuang , Xie Yong 
Published: December 2023

Abstract
Background
To systematically identify the changes in epithelial cell types during the gastrointestinal epithelial transformation, further explore the dynamic changes of key transcription factors and metabolic pathways during the gastrointestinal metaplasia process, and investigate the specific role of Helicobacter pylori (H. pylori) in this process.
Methods
Based on an in-depth analysis of single cell sequencing data, we identified specific transcription factors involved in the gastric epithelial intestinalization process using SCENIC analysis and validated them through immunohistochemistry. Based on these findings, we further investigated the differentiation trajectory of gastric epithelial cells during metaplasia and examined changes in metabolic pathways throughout this process. Finally, we studied the impact of H. pylori infection on these specific transcription factors using PCR analysis and Western blotting.
Results:
During the process of intestinal metaplasia, we have confirmed that the proportion of pit mucous cells gradually decreases while the number of intestinal metaplasia cells increases. Through SCENIC analysis, we have identified HOXB13, HOXA10, and ONECUT2 as potential characteristic transcription factors in intestinal metaplasia cells. Additionally, immunohistochemistry validation has shown a significant increase in HOXB13 expression in intestinal metaplasia tissues compared to non-atrophic gastritis tissues. In the non-atrophic gastritis group, the expression of gastric tissue infected with H. pylori was higher than that of the non-infected group. Trajectory analysis has revealed that pathways related to lipid metabolism play important roles during the process of intestinal metaplasia. Furthermore, cell experiments have confirmed a significant upregulation of HOXB13 after H. pylori infection.
Conclusion
This single cell RNA sequencing analysis establishes a solid foundation for investigating the cellular types, key transcription factors, and metabolic pathways associated with gastrointestinal epithelial cell differentiation. Our findings indicate that HOXB13 plays a critical role as a transcription factor in gastrointestinal epithelial metaplasia. Additionally, we have observed that H. pylori infection enhances the expression of HOXB13, which subsequently impacts fatty acid metabolism in normal gastric mucosa through downstream target genes CEL and GPD1. As a result, HOXB13 emerges as a promising therapeutic target to address H. pylori-induced intestinal metaplasia and offers potential insights into the development of treatment strategies for this condition.