bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uncertainty analysis of point cloud registration for gap measurement in aircraft assembly
Authors: Yang Ye , Price Mark , Abdelal Gasser , Higgins Colm , Rutherford Glenn , Maropoulos Paul , Jin Yan 
Published: January 2024

Abstract

Point cloud registration is often required in processing measurement data and uncertainty is inevitably brought into this process. However, the effects of registration uncertainties have not been well studied in the literature, especially for high precision applications such as aircraft assembly. Take gap measurement in aircraft wing assembly as an example, using laser scanners and commercial software PolyWorks, this study investigates the registration uncertainty between part-level and assembly-level point cloud data, as well as related factors including system errors, sphere targets, and parameter settings. Results show that: (1) Use of sphere targets cannot improve registration accuracy in PolyWorks but can improve efficiency by reducing 41.94% of iteration times for small-scale point cloud data. (2) The registration process can bring errors and these errors can be affected by the parameter settings during data processing. (3) Systematic errors can be associated with both part-level and assembly-level measurements, these errors will be propagated during the registration process, and their effects on the gap measurement are dependent on the geometrical relationship of the two mating surfaces. A calibration method is proposed to mitigate the effects of systematic errors, and experiments were conducted to validate these methods. It is concluded that laser scanners and computational software can be used for high-precision assembly, and evaluating registration uncertainty is a crucial step for improving assembly accuracy.
Exposure to abuse and changes in cardiometabolic risk profiles over 3 years in young South African women
Authors: Nguyen Kim Anh , Kengne Andre Pascal , Nqebelele Unati , Peer Nasheeta 
Published: January 2024

Abstract
Background: South African women experience high rates of abuse and cardiometabolic diseases (CMD), but research on their relationship is less investigated. This study examined the associations of exposure to abuse in childhood and adulthood with CMD risk factors [body mass index (BMI), waist circumference (WC), systolic (SBP) and diastolic blood pressure (DBP), total cholesterol (TC), HbA1c] over three years among baseline rape-exposed and rape-unexposed women aged 18-40 years.
Methods: In longitudinal analyses of baseline-rape-exposed and rape-unexposed women from the Rape Impact Cohort Evaluation (RICE) study; the associations of CMD risk factors with self-reported exposures to childhood abuse (CA) (any, sexual, physical, emotional CA and parental neglect), intimate partner violence (IPV) (any, sexual, physical, emotional and economic IPV), non-partner sexual violence (NPSV) were explored using linear mixed-effects models, with the inclusion of the interaction term, ‘abuse/trauma*rape-exposed’.
Results: CMD data were collected at baseline (N=1617; mean age 25.3 years), 12 (N=1178), 24 (N=925) and 36 months (N=571). Any CA and greater frequency of physical CA were associated with rising BMI over 3 years of follow-up, with no evidence of an interaction effect of baseline rape exposure (p≥0.057 for all interaction tests). Exposure to more than one episode of NPSV was associated with lower WC and BMI, but not other CMD risk variables. Exposures to IPV were not associated with changes in the variables investigated. There was no evidence of a significant interaction effect between baseline rape exposure and lifetime abuse exposure for any of the associations examined (p≥0.095 for all interaction tests), except for WC-sexual CA (p=0.010 for interaction test).
Conclusions: This prospective analysis demonstrated that CA experiences were associated with increased BMI levels over 3 years of follow-up in young South African women. Further research over a longer period is required to clearly delineate the effect of rape exposure on CMDs.
Football prediction model based on the teams' Elo ratings and scoring indicators
Authors: Saribekyan Gor , Yarovoy Nikolay 
Published: January 2024

Abstract

The study focuses on proposing a solution for the 2023 Soccer Prediction Challenge organized in conjunction with the Machine Learning Journal's special issue on Machine Learning for Soccer. The challenge aimed to predict the outcomes of future matches from various leagues worldwide within a specific timeframe. In this paper, we examine the solution provided by our team "Friends of Elo" in detail. We experimented experimented with using Elo ratings and scoring indicators (goals) as arguments for the linear regression method. Poisson distribution was employed to predict the match results. The performance was evaluated based on the root mean squared error and the ranked probability score. Submitted predictions (714 matches) ranked 7th among 11 contestants in Task 1 and 5th among 13 contestants in Task 2, respectively. Futhermore, we conducted additional tests, where our model performed even greater on the expanded dataset of over 6800 matches to predict. The most significant advantage of our approach is that it does not require advanced match data, making it applicable worldwide. Overall, our study provides an in-depth analysis of the solution proposed by the "Friends of Elo" team, and we offer a superior alternative that performs well and is highly practical.
Anionic aggregates induced interphase chemistry regulation toward wide-temperature silicon-based batteries
Authors: Lu Yingying , Mao Shulan , Zhang Jiahui , Mao Jiale , Shen Zeyu , Long Ziren , Zhang Shichao , Wu Qian , Cheng Hao 
Published: January 2024

Abstract
Silicon nanoparticles (SiNPs) show great promise as high-capacity anodes owing to their ability to mitigate mechanical failure. However, the substantial surface area of SiNPs triggers interfacial side reactions and solid electrolyte interphase (SEI) permeation during volume fluctuations. The slow kinetics at low temperatures and the degradation of SEI at high temperatures further hinder the practical application of SiNPs in real-world environments. Here, we address these challenges by manipulating the solvation structure through molecular space hindrance. This manipulation enables anions to aggregate in the outer Helmholtz layer under an electric field, leading to rapid desolvation capabilities and the formation of anion-derived SEI. The resulting double-layer SEI, where nano-clusters are uniformly dispersed in the amorphous structure, completely encapsulates the particles in the first cycle. The ultra-high modulus of this structure can withstand stress accumulation, preventing electrolyte penetration during repeated expansion and contraction. As a result, SiNPs-based batteries demonstrate exceptional electrochemical performance across a wide temperature range from − 20 to 60°C. The assembled 80 mAh SiNPs/LiFePO4 pouch cell maintains a cycling retention of 85.6% after 150 cycles. This study elucidates the intricate relationship between interface solvation, SEI chemistry, and bulk stability, offering new insights for the development of wide-temperature Si-based batteries.
Efficacy of Acid-Fast Staining, Real-Time Fluorescent PCR, and Immunohistochemical Staining in Diagnosing Pulmonary Tuberculosis
Authors: Sun jie , Yu jiang , Chen xueqian , Fang shiyu , Duan shaoqi , Liu fengjun 
Published: January 2024

Abstract

Objective: To evaluate the diagnostic utility of acid-fast staining, real-time fluorescent PCR, and immunohistochemical staining in identifying pulmonary tuberculosis.
Methods: Acid fast staining, real-time fluorescence PCR, and immunohistochemical staining were performed on lung tissue samples from 69 tuberculosis patients and 67 non tuberculosis patients to detect Ag85B, ESAT-6, and CFP10.The detection efficiency of each method was compared.
Results: Acid-fast staining and real-time fluorescent PCR demonstrated sensitivities of 26.09%,49.28%, both with a specificity of 100%. The sensitivities for Ag85B, ESAT-6,CFP10 were 62.32%, 78.26%,69.57%,while their specificities were 86.57%, 85.07%, 91.04%. The AUC was highest for ESAT-6 (AUC=0.817). Joint antigen analysis revealed that simultaneous positivity for two or three of Ag85B, ESAT-6, CFP10 increased specificity (95.52% to 100%) but decreased sensitivity (49.28% to 62.31%). The presence of any one of the three antigens elevated sensitivity (81.16% to 88.41%) but lowered specificity (68.66% to 77.61%). Specificity reached 100% for concurrent positivity of all three antigens, while a sensitivity of 88.41% was observed for positivity of any one antigen.
Conclusion: 1. Real-time fluorescent PCR exhibits higher sensitivity compared to acid-fast staining, though both methods have very high specificity. 2. Immunohistochemical staining for Ag85B, ESAT-6, and CFP10 in lung tissue shows higher sensitivity than real-time fluorescent PCR and provides valuable diagnostic support, particularly in cases where acid-fast staining and PCR are negative. 3. Combined antigen testing enhances the diagnostic accuracy for pulmonary tuberculosis, with simultaneous positivity of all three antigens being crucial for confirming tuberculosis, while their collective negativity is significant in ruling out the disease.
The Use of AI For Hallux Valgus Assessment via Mobile Phone-Based 3D Camera Scan
Authors: Ghandour Samir , Lebedev Anton , Tung Wei Shao , Semianov Konstantin , Semyanov Artem , DiGiovanni Christopher , Bejarano-Pineda Lorena , Ashkani-Esfahani Soheil 
Published: January 2024

Abstract

Hallux valgus (HV) is a common foot deformity. Traditional detection methods include clinical examination and radiographic imaging, which, although reliable, often remain inaccessible to many due to existing care barriers. This study introduces an innovative approach to computer vision analysis and phone camera-based 3D scanning technology to detect and assess HV severity. We evaluated the accuracy of this method against routine clinical examination as the currently accepted assessment standard. Our study included 120 participants, resulting in 240 foot scans, with a diverse demographic representation. The computer vision algorithm utilized a surrogate angle, automatically derived from the 3D scans, to identify the severity of HV, and its correlation with traditional radiographic measurements for HV. Our findings reveal that computer vision-based detections offer high accuracy, with an Area Under the Curve (AUC) score of 0.947, presenting a promising alternative to conventional methods. This technology offers promise for increasing access to HV detection, potentially aiding in earlier diagnosis as well as non-operative treatment options that may ultimately reduce the need for surgical intervention. Its ease of use and application in telemedicine contexts has the potential, moreover, to significantly benefit patients in remote or underserved areas and expand capacity to promote similar care improvement in other areas of musculoskeletal disease.
Removal of natural organic matter and Trihalomethanes from drinking water plants using modified polymer
Authors: rezoka shalaby , MELEGY GAMAL , ELGAMMAL MAI , ADEL GHADA 
Published: January 2024

Abstract
A composite Hydrogel of carboxymethyl cellulose/acrylamide/powdered activated carbon (CMC/AM/PAC) were prepared by ɣ-irradiation and characterized by spectroscopic and electron microscopic techniques. The effect of monomer concentration on the percentage of composite hydrogel formation was studied. The composite hydrogel content reached the maximum gel percentage at radiation dose of 25 kGy, the formed composite was used for removal of natural organic matter (NOM) from raw water. The (NOM) uptake increased by increasing the pH of the medium until reached a maximum value at (pH5).The increase in contact time led to increase of the amount of (NOM) adsorbed until the equilibrium was reached within for (CMC/AM/PAC) composite Hydrogel.The optimum adsorbent dose of 0.4 g/L for (CMC/AM/PAC) composite Hydrogel. The potential applications of the newly sorbents is extraction (NOM) from real samples from raw water from Nile Rosetta branch. Also, Trihalomehanes (THM's) produced as disinfection by-products (DBPs) formed from the reaction between chlorine and (NOM) were removed using the composite Hydrogel by a 1 minute rapid mix stage at 150 rpm followed by a 20 min flocculation stage at 40 rpm and a 30 min settlement period. Also, it is noticed that the prepared composite Hydrogel has the ability to remove NOM up to 66.8%.
Signal, detection and estimation using a hybrid quantum circuit
Authors: Neto O. P. de Sá , de Oliveira M. C. 
Published: January 2024

Abstract
We investigate a hybrid device allowing a photon-phonon coupling of a transmission line radiation (TLR) and a nanoeletrome-chanical system (NEMS), mediated by a superconducting qubit population imbalance. We demonstrate the derivation of an effective Hamiltonian for the strongly dispersive regime for this system. The qubit works as a quantum switch, allowing a conditioned transfer of excitations between the TLR and NEMS. We show that this regime allows the system to be employed for signal processing and force estimation. Additionally, we explore the ability of the quantum switch to generate non-classical states.
Cerebral Infarction with Haemorrhagic Transformation and Cortical Laminar Necrosis Induced by Inhalation of Nitrous Oxide: A Case Report
Authors: Wang Weisen , Li Shuai , Zhao Xiangxiang , Li Binghan , Bi Xiaoying , Zhang Sheqing , Peng Wenjia 
Published: January 2024

Abstract
Background: The abuse of nitrous oxide, commonly known as laughing gas, has emerged as a significant social and public dilemma. Nitrous oxide abuse can induce anaemia, pneumothorax, thrombosis, and various neurological complications. Haemorrhagic transformation is a common occurrence in the natural progression of cerebral infarction and represents a significant adverse effect of treatments such as thrombolysis. This is strongly linked to the poor prognosis of cerebral infarction. Cortical laminar necrosis is a type of ischaemic necrosis with a laminar pattern in the cortex resulting from hypoperfusion caused by different aetiologies. Instances of cerebral infarction caused by N2O abuse are rare, and cerebral infarction accompanied by haemorrhagic transformation and cortical laminar necrosis has not been reported.
Case presentation: We present the case of a 27-year-old man who experienced syncope, hemiparesis, and aphasia as a direct result of excessive N2O inhalation. A sizeable cerebral infarction with haemorrhagic transformation in the left frontoparietotemporal insula and basal ganglia, along with laminar necrotic changes in the cortex, was found.
Conclusions: Attention should be paid to the unique complications resulting from N2O abuse while enhancing our understanding of the causes and imaging features of cortical laminar necrosis.
Association between parenting styles and dyslexia in primary school students: the mediating role of home literacy environment
Authors: Wen Wanyi , Zhang Xuanzhi , Wu Kusheng , Guan Liwen , Huang Anyan , Liang Zhiya , Yu Xinle , Gu Qianfei , Huang Yanhong 
Published: January 2024

Abstract
Background: Despite an increasing amount of research on the relationship between parenting styles and neurodevelopmental disorders, there has been minimal focus on how parenting styles impact children's reading abilities. The aim of this study was to investigate the potential mediating role of the home literacy environment in the connection between parenting styles and dyslexia.
Methods: A total of 212 primary school students from grade 2 to 5 were recruited in this study. The Chinese Reading Ability Test was used to screen children with dyslexia. Egna Minnen Beträffande Uppfostran questionnaire was used to assess the parenting style (emotional warmth, rejection, overprotecting and anxious rearing). The structural equation modelling was carried out to evaluate the direct, indirect, and total effects of parenting styles on dyslexia.
Results: Dyslexic children had lower scores for emotional warmth, overprotecting and anxious rearing compared to normal children, especially among male dyslexic children (all P<0.01). Dyslexic children were lack of regular reading time (OR=2.69, 95%CI:1.04-6.97, P<0.05), and have higher homework pressure compared to normal children (OR=7.41, 95%CI:1.45-37.82, P<0.05). Additionally, emotional warmth, paternal overprotection and anxious rearing were negatively associated with dyslexia in children (all P<0.05). Our findings indicate a strong correlation between dyslexia, home literacy environment, and parenting styles. In a structural equation model, an indirect effect was found showing that the home literacy environment independently mediated the effect of parenting styles on dyslexia. The total indirect effect is 0.55 and 0.68, respectively.
Conclusions: The findings of this study indicate that home literacy environment serves as a mediato between parenting styles and dyslexia in children. This study offers fresh insights into the intricate connections between parenting styles and dyslexia, offering significantly important theoretical and practical implications.
Advanced ML for Predictive Maintenance: Case Study on Remaining Useful Life Prediction and Reliability Enhancement
Authors: Meddaoui Anwar , Hachmoud Adil , Hain Mustapha 
Published: January 2024

Abstract
In order to achieve an optimal system performance, decision makers are continually faced with the responsibility of making choices that will enhance availability and reduce failures cost. To realize this goal, it is crucial to ensure the timely maintenance of equipment, which often poses a significant challenge. However, the adoption of Predictive Maintenance (PdM) technology can offer a solution by enabling real-time maintenance, resulting in various benefits such as reduced downtime, cost savings, and enhanced production quality. Machine learning (ML) techniques are increasingly being used in the field of predictive maintenance to predict failures and calculate estimated remaining useful life (RUL) of equipment. A case study is proposed in this research paper based on a maintenance dataset from the aerospace industry. It experiments and compare multiple combination of feature engineering techniques and advanced ML models with the aim to propose the most efficient techniques for prediction. Moreover, future research papers can focus on the challenge of validating this proposed model in different industrial environments.
Molecular alterations and prognosis of breast cancer with cutaneous metastasis
Authors: Xu Yan , Ding Li , Li Chao , Hua Bin , Wang Sha , Zhang Junli , Liu Cuicui , Guo Rongyun , Zhang YongQiang 
Published: January 2024

Abstract
Purpose
Cutaneous metastasis (CM) accounts for 5–30% of patients with breast cancer (BC) and presents unfavorable response to treatment and poor prognosis. A better understanding of the molecular alterations involved in metastasis is essential, which would help identify diagnostic and efficacy biomarkers for CM.
Materials
: We retrospectively reviewed a total of 13 patients with histological or cytological diagnosis of breast cancer and CM. Of those 13 patients, 8 patients had matched primary tumors and CM. Clinical information was extracted from the medical records. All of the samples were subjected to DNA-based next-generation sequencing (NGS).
Results
More than half of the patients were Ki67 low (< 50%, 53.7%). Most patients (12, 92.3%) had other metastasis sites other than skin. The median time from diagnosis to the presentation of CM (T1) was 15 months (range: 0–94 months) and the median time from CM to death (T2) was 13 months (range 1–78). The most frequently altered genes across the three types of tissues were TP53 (69.6%, 16/23), PIK3CA (34.8%, 8/23), and MYC (26.1%). The number of alterations in CM tends to be higher than in primary tumors (median 8 vs. 6, P = 0.077). Copy number loss in STK11, copy number gain in FGFR4, TERT, AR, FLT4 and VEGFA and mutations in ATRX, SRC, AMER1 and RAD51C were significantly enriched in CM (all P < 0.05). Ki67 high group (> 50%) showed significantly shorter T1 than the Ki67 low group (≤ 50%) (median 12.5 vs. 50.0 months, P = 0.036). TP53, PIK3CA mutations, and TERT amplification group were associated with inferior T2 (median 11 vs. 36 months, P = 0.065; 8 vs. 36 months, P = 0.013, 7 vs. 36 months, P = 0.003, respectively).
Conclusion
The number of alterations in CM tends to be higher than in primary tumors. Some mutations and the copy number variation were significantly enriched in CM. TP53, PIK3CA mutant, and TERT amplification might be biomarkers for poor prognosis for CM patients.
Biomarkers of Hemolytic Uremic Syndrome development and dialysis requirement in children with Shiga toxin-producing E. coli infection.
Authors: Toledano Analia , Caratozzolo Ana M , Lanfranchi Romina , Martinez Mayra , Chacoff Marian , Carballo Carolina , Talarico Laura , Contrini Maria Marta , Lopez Eduardo Luis 
Published: January 2024

Abstract
Background Hemolytic uremic syndrome (HUS) is a disease characterized by thrombocytopenia, microangiopathic hemolytic anemia and acute kidney Injury. We aimed to dose serum concentrations of Interleukin (IL)-8, Tumor Necrosis Factor- α (TNF-α), IL-6, IL-1β and human neutrophil gelatinase-associated lipocalin (N-gal) in children with Shiga toxin-producing E. coli infection (STEC) to determine the inflammatory cytokine profile and the role of these molecules as biomarkers of HUS development and dialysis requirement.Methods Three groups of patients with evidence of STEC were incorporated: those with bloody diarrhea (BD), HUS patients requiring dialysis (HUSD) and HUS patients with no dialysis requirement (HUSND). Serum samples were assayed for cytokines and N-gal using immunoassays.Results Thirty-six children were enrolled (median age: 30.5 (IQR 20–75) months; Female/Male 21/15). Thirteen BD children, ten HUSND children and 13 patients with HUSD were incorporated. We found significantly higher levels of IL-8, IL-6 and TNF-α in HUSD patients compared to BD patients. By contrast, only TNF-α levels were significantly higher in HUSND than in BD patients. Higher IL-8 and N-gal levels were evidenced in HUSD than in HUSND. Principal Component Analysis (PCA) revealed distinct cytokine profiles among the study groups.Conclusions These results suggest that TNF-α could be a risk biomarker for HUS development. We can postulate N-gal and IL-8 as possible biomarkers of dialysis requirement in patients with STEC associated HUS as these molecules were increased at the initial stages of the disease in patients requiring dialysis. Children with HUSD exhibited an immune profile different from the other study groups.