bluuebunny/crossref_metadata_2025_split huggingface dataset:
Compact dual band fractal patch antenna based on RIS and MUC
Authors: Lavanya veerella , kumari UV Ratna 
Published: August 2023

Abstract
In this paper, a compact Microstrip patch antenna working at two frequencies based on Reactive Impedance Surface (RIS) and Mushroom unit cell (MUC) is proposed. Initially, square patch antenna is designed for 5G frequency band. Then the edges of the beginner antenna are embedded with Koch fractal curves for circular polarization operation (CP). The second band is obtained by loading MUC into the CP antenna. The radiation properties of the reported antenna are inspected and illustrated with both simulated and experimental results in detail. The Return Loss Bandwidth (RLB) at upper resonating frequency band (patch mode band) is 10.1% (3.35–3.71 GHz) and 2% (2.40–2.46 GHz) at lower resonance frequency band (left hand band) respectively. The Axial Ratio Bandwidth (ARB) is 5.17% (3.39–3.57 GHz) at patch mode band. Simulated values obtained from HFSS and measured values are in close agreement.
Automatic Vehicle Engine Control System for Inebriate Condition
Authors: M Suresh Chinnathampy , A Ancy Marzla , EL Dhivya Priya , Padmanabhan Annapandi 
Published: August 2023

Abstract
This paper is to progress a barring and controlling structure for automotive engines so that, the vehicle will not commence without checking the presence of alcohol mechanism and even in safe journey, it would continuously check alcohol consumption. This module will yield the benefit of a previous existence and upcoming existence using Alcohol sensor. Our developed instrument is based on the GPS and GSM technology. Without any guidance of web service one can directly communicate embedded system with mobile through interfacing GSM to Microcontroller. GPS unit receives the exact location of automobile with meridians and parallels. The next process can be implemented by sending messages to respective owners of the vehicles via GSM. Once the engine off, engine control can be handover to the owner or relatives. Ultrasonic Device is also used to prevent the collision with other ground vehicles due to the occurrence of sudden engine off. The expected design for the accident deterrence module can be applied in our day -to- day life in order to upsurge road safety.
Effect of Sulfasalazine on Ferroptosis during Intestinal Injury in Rats after Liver Transplantation
Authors: Wu Wei , Bao Xu , Bu Wenhao , Wang Yongwang , Tan Yongxing , wei jinzhen , wang gang 
Published: August 2023

Abstract
Background and Objectives: Liver transplantation is an effective treatment for end-stage liver disease, but the perioperative period of liver transplantation will not only cause damage to the liver itself, but also cause damage to distant extrahepatic organs.Using a rat autologous orthotopic liver transplantation (AOLT) model and liver cold ischemia-reperfusion (I/R)-induced intestinal injury, we investigated the action of the lipid reactive oxygen species (L-ROS) inhibitor ferrostain-1（FER-1）on the ferroptosis signaling pathway and clarified whether ferroptosis occurred in rat AOLT cold I/R-induced intestinal injury. Additionally, the role and possible mechanism of the ferroptosis activator sulfasalazine (SAS) in intestinal injury-induced ferroptosis in rats with AOLT liver cold I/R were investigated.
Methods:Sixty SPF-grade adult male Sprague‒Dawley (SD) rats were randomly divided into 5 groups using the random number table method (n = 12). The inferior vena cava blood was collected at 6 h and 24 h after the portal vein was opened, and the ileal tissue was obtained at the same time. The corresponding indexes were detected by different methods.
Results: Compared with the Sham group, the Chiu's score and W/D ratio increased 6h and 24h after modeling in other groups, and the expression of GPX4 and xCT protein in intestinal tissue decreased. Compared with the SAS group, the levels of SOD, GSH and GPX4 in the intestinal tissue increased in the I/R+SAS+Fer-1 group, and the expression of GPX4 and xCT protein in the intestinal tissue increased.
Conclusions:Ferroptosis is involved in the pathophysiological process of intestinal injury induced by cold hepatic ischemia-reperfusion in AOLT rats.In addition, SAS (500mg/kg) may inhibit the System Xc¯/GSH/GPX4 signal axis in intestinal injury induced by cold I/R in rat AOLT liver, or iron overload after reperfusion, causing a massive accumulation of L-ROS and activating cellular ferroptosis, Further aggravate the intestinal injury.
Predictive value of urinary Tamm-Horsfall protein and 24-hour urine osmolality for recurrence in patients with calcium oxalate stones
Authors: Fang Daocheng , Tang Chunhua , Wang Chao , Hu Yuanyuan , Wen Hui 
Published: August 2023

Abstract
Introduction: To investigate the predictive value of urinary Tamm-Horsfall protein (THP) and 24-h urine osmolality for recurrence in patients with calcium oxalate (CaOx) stones.
Methods: The clinical data of 120 patients hospitalized for upper urinary tract stones between January 2020 and January 2022 in our hospital were retrospectively reviewed. Patients with and without stone recurrence at postoperative follow-up were divided into a recurrence group (53 patients) and a non-recurrence group (67 patients); 50 healthy patients during the same period were selected as the control group. Levels of urinary THP, 24-h urine osmolality, and biochemical indices were then compared between the three groups. Receiver operating characteristic (ROC) curves were applied to predict the predictive values of urinary THP and 24-h urine osmolality for stone recurrence.
Results: Urinary THP, 24-hour urine osmolality, and biochemical indices in the recurrence group were significantly higher than those in the non-recurrence group and the control group (P < 0.05). 24-h urine osmolality was positively correlated with urinary oxalic acid and calcium excretion. ROC curve analysis showed that the optimal cut-off values for urinary THP and 24-h urine osmolality for the prediction of stone development were ≥27.01mg/L and ≥577.69mOsm/(kg·H2O); furthermore, the combination of these indices significantly improved the accuracy of prediction.
Conclusion: Urinary THP and 24-hour urine osmolality are higher in patients with recurrent CaOx stones; the combined detection of these parameters can accurately predict stone recurrence.
Evidence Combination for Pattern Classification With Missing Data
Authors: Liu Lizhuo 
Published: August 2023

Abstract
It remains a challenging problem to classify the incomplete patterns with randomly missing values. In some applications, it is difficult for us to collect complete attributes of target due to the complex sensing environment, and the observed patterns are all with more or less missing values. In order to well classify such incomplete patterns, we propose a new classification method based on evidence combination. Because the patterns are all considered with missing attribute values, it is hard to accurately estimate the missing values of object to classify. We propose to classify the object using each available attribute respectively. The K-nearest neighbors (K-NN) of object are found in training data space according to each attribute, and K Basic belief assignments (BBA) are constructed corresponding to the K-NN. The BBA reflects the degree of object belonging to each class. Then a two step evidence combination strategy is developed for combining the K BBA's. The BBA's associated with the same class are combined by classical DS rule at first. When the K-NN belong to different classes, the previous DS combination results associated with different classes may highly conflict, and they are further combined by PCR5 rule, which can well manage the high conflict via proper conflicting masses redistribution. We can classify the object using other attribute one by one in the similar way. When multiple classification results corresponding to different attributes are collected, a weighted evidence combination method is employed to fuse these results. The weighting factors of the results are optimized by minimizing an error criterion. The object is finally classified depending on this combination result. Experimental results with various data sets show the effectiveness of the proposed method comparing with other related methods.
HEARTSVG: a fast and accurate method for spatially variable gene identification in large-scale spatial transcriptomic data
Authors: Yu Zhangsheng , Yuan Xin , Ma Yanran , Gao Ruitian , Cui Shuya , Fa Botao , Wang Yifan , Ma Shiyang , Ma Shuangge 
Published: August 2023

Abstract

Identifying spatially variable genes (SVGs) is crucial for understanding the spatiotemporal characteristics of diseases and tissue structures, posing a distinctive challenge in spatial transcriptomics research. We propose HEARTSVG, a distribution-free, test-based method for fast and accurately identifying spatially variable genes in large-scale spatial transcriptomic data. Extensive simulations demonstrate that HEARTSVG outperforms state-of-the-art methods with higher F1 scores (average F1 score=0.903), improved computational efficiency, scalability, and reduced false positives (FPs). Through analysis of twelve real datasets from various spatial transcriptomic technologies, HEARTSVG identifies a greater number of biologically significant SVGs (average recall=0.985, average AUC=0.788) than other comparative methods without prespecifing spatial patterns. Furthermore, by clustering SVGs, we uncover two distinct tumor spatial domains characterized by unique spatial expression patterns, spatial-temporal locations, and biological functions in human colorectal cancer data, unraveling the complexity of tumors.
Retrospective comparative analysis of clinical, laboratory, and imaging features of Pneumocystis jirovecii pneumonia among HIV-infected individuals and patients with cancer
Authors: Fang Jianhua , Pan Zhenhui , Li Jiayue , Huang Jingyi , Zhang Shouhua , Xiang Tianxin 
Published: August 2023

Abstract
Objective: To retrospectively compare the clinical, laboratory, and imaging features of Pneumocystis jirovecii pneumonia among HIV-infected individuals and patients with cancer in order to provide evidence for early detection, diagnosis, and treatment.
Methods: Fourty-three patients with PJP diagnosed at the First Affiliated Hospital of Nanchang University from January 2017 to August 2022 were enrolled. Pneumocystis jirovecii pneumonia patients were divided into an HIV-infected group and a cancer group.A retrospective comparative analysis of clinical, laboratory, and imaging features was conducted in both groups.Statistical analysis using SPSS version 26.0 was performed.
Results: Clinical indicators such as total protein, globulin,the ratio of albumin to globulin(AGR),γ-glutamyl transpeptidase(γ-GGT),alkaline phosphatase, triglyceride, total cholesterol,and blood glucose were statistically different in PJP-HIV and PJP-cancer.PJP-HIV patients mainly presented with upper respiratory symptoms, generally with fever as the first symptom,whereas the majority of PJP-cancer patients had systemic symptoms.Furthermore,PJP-HIV patients demonstrated early clinical and radiologic characteristics of lung diseases,while PJP-cancer patients had a later appearance.PJP-cancer patients had a longer length of hospital stay(58.8%,P=0.187),a higher rate of mechanical ventilation(11.1%,P＜0.05),and a higher probability of ICU admission（77.8%,P＜0.05）compared with PJP-HIVpatients.
Conclusions:
PJP-HIV patients presented with non-systemic symptoms and early abnormal lung imaging features, while PJP-cancer patients presented with systemic symptoms and late abnormal lung imaging features. Laboratory data for both groups, however, show significant statistical significance.
Association of preoperative health status with risk of complications after primary total hip arthroplasty: How useful are the measures self-rated health, ASA classification and comorbidity count?
Authors: Bonnefoy-Mazure Alice , Dellagiovanna Donia , Barea Christophe , Hannouche Didier , Lübbeke Anne 
Published: August 2023

Abstract
Background
Complications after surgery can be predicted using ASA classification or comorbidity count. No study has assessed the measure self-rated health (SRH) yet. Our objective was to assess the association between SRH, ASA and comorbidity count and medical complications during hospitalization, death and all-cause revision within 5years.
Methods
A prospective cohort study of primary elective THAs was conducted 2002-2019 including information on preoperative general health measured with SRH, comorbidity count and ASA grade. For medical complications, proportions of events per category of health measure were calculated. Risk of all-cause revision and mortality was assessed using incidence rates, reverse Kaplan-Meier and Cox regression analyses.
Results
Overall, 3906 patients were included (mean age 69years). The risk of a severe medicalcomplication during hospitalization was 1% and it increased with decreasing health status. Incidence rate of dying within 5years was 1.9 cases/100 P-yrs, and it increased with decreasing health status. ASA grade 3-4 was most strongly associated with death (hazard ratio (HR) 5, 95%CI 2-11) compared to ASA grade 1. Patients with poor SRH or ≥4 comorbidities had a 3 times higher risk of dying. Incidence rate of revision was 0.6 cases/100 P-yrs and increased with decreasing health status. The association was only significant in the first 3 months postoperative. For comorbidity count the adjusted HR was 4 (95%CI 2-7)), and for ASA 3-4 HR was 3 (95%CI 2-6).
Conclusion
SRH, ASA classification and comorbidity count showed increasing risks of complications and death with decreasing health status. ASA was most strongly associated with death. Regarding revision within 3 months both comorbidity count and ASA performed well.
Alterations in subcortical magnetic susceptibility and disease-specific relationship with brain volume in major depressive disorder and schizophrenia
Authors: Koike Shinsuke , Shibukawa Shuhei , Kan Hirohito , Honda Shiori , Wada Masataka , Tarumi Ryosuke , Tsugawa Sakiko , Tobari Yui , Maikusa Norihide , Mimura Masaru , Uchida Hiroyuki , Nakamura Yuko , Nakajima Shinichiro , Noda Yoshihiro 
Published: August 2023

Abstract
Quantitative susceptibility mapping is a magnetic resonance imaging technique that measures brain tissues’ magnetic susceptibility, including iron deposition and myelination. This study examines the relationship between subcortical volume and magnetic susceptibility and determines specific differences in these measures among patients with major depressive disorder (MDD), patients with schizophrenia, and healthy controls (HCs). Sex- and age- matched patients with MDD (n = 49), patients with schizophrenia (n = 24), and HCs (n = 50) were included. Magnetic resonance imaging was conducted using quantitative susceptibility mapping and T1-weighted imaging to measure subcortical susceptibility and volume. The acquired brain measurements were compared among groups using analyses of variance and post hoc comparisons. Finally, a general linear model examined the susceptibility–volume relationship. Significant group-level differences were found in the magnetic susceptibility of the nucleus accumbens and amygdala. Although, post-hoc analyses indicated that the magnetic susceptibility of the nucleus accumbens and amygdala for the MDD group was significantly higher than that for the HC group, no significant differences in subcortical volume were found between the groups. The general linear model indicated a significant interaction between group and volume for the nucleus accumbens in MDD group but not schizophrenia or HC groups. This study showed susceptibility alterations in the nucleus accumbens and amygdala in MDD patients. A significant relationship was observed between subcortical susceptibility and volume in the MDD group’s nucleus accumbens, which indicated abnormalities in myelination and the dopaminergic system related to iron deposition.
Development and Validation of a Nomogram Based on Inflammatory indicators and Tumor Markers for Prognosis Prediction of Colorectal Cancer
Authors: Shi Bo , Guo Haoran , Chen Junjie , Peng Zhijian , Wang Suo , Chen Guoliang , Tai Qingliang , Shi Xinyu , He Songbing 
Published: August 2023

Abstract
Background: Reliable evaluation methods play an important role in improving the prognosis of colorectal cancer patients, guiding the development of treatment plans, and prolonging patient survival. Several preoperative inflammatory indicators and tumor markers were evaluated in this study for predicting colorectal cancer (CRC) prognosis.
Methods: A total of 224 eligible patients with CRC were enrolled in the present study. Patients were divided into a training group (n=150) and a validation group (n=74). The training cohort underwent both the least absolute shrinkage and selection operator (LASSO) regression and Cox regression analyses to discern pivotal prognostic factors, aiming to formulate a nomogram for the prediction of overall survival (OS).
Results: LASSO regression, univariate and multivariate Cox regression analysis revealed that Neutrophil-lymphocyte ratio (NLR), carbohydrate antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) were effective risk factors. The concordance index (C-index) of the nomogram in the training and validation groups were 0.716 and 0.7 respectively. The areas under curve (AUC) of the nomogram for 3-years were 0.748 and 0.776, for 5-years were 0.749 and 0.773 respectively.
Conclusion: NLR, CA199 and CEA were effective supplements to traditional clinical assessment methods. The nomogram incorporating the three preoperative indicators can be effectively and efficiently used to predict the prognosis of CRC patients.
Influence of 3D printing technological parameter number of shells on selected mechanical properties in FDM/FFF technology
Authors: Szot Wiktor , Rudnik Mateusz 
Published: August 2023

Abstract
The technological parameters of 3D printing have a significant impact on the mechanical properties including rheological properties of models produced by additive technology. Research on the influence of these parameters is important for designers who design machine components. Therefore, this article presents extensive research on the influence of the 3D printing technological parameter of the number of shells (2 and 10) on selected mechanical properties. Two different types of specimens produced by FDM (Fused Deposition Modelling) technology were used from PLA material. The selected mechanical properties were tensile strength, flexural strength and creep phenomenon. The five-parameter Kelvin-Voight model was used to describe the creep curve obtained from the tests. Very good fits were obtained, which allows us to recommend the obtained results for engineering calculations. The research results presented in this article showed that for both tensile strength, flexural strength and creep phenomenon, higher values were obtained for the number of shells 10 compared to the number of shells 2.
EEG-based Emotional Valence and Emotion Regulation Classification: A Data-centric and Explainable Approach
Authors: Fiorini Linda , Bossi Francesco , Gruttola Francesco Di 
Published: August 2023

Abstract
Emotion classification using electroencephalographic (EEG) data is a challenging task in the field of Artificial Intelligence. While many researchers have focused on finding the best model or feature extraction technique to achieve optimal results, few have attempted to select the best methodological steps for working with the dataset. In this study, we applied two different theoretical approaches based on the noise of the dataset: curriculum learning and confident learning. Curriculum learning involves presenting training examples to a machine learning model in a specific order, starting with easier examples and gradually increasing in difficulty. This approach has been shown to improve model performance. Confident learning, on the other hand, is a method for identifying and correcting label errors in datasets. By identifying and correcting these errors, confident learning can improve the performance of machine learning models trained on noisy datasets. Our aim was to explore the impact of different models and methods on emotion classification performance using EEG data. We used an EEG dataset in which participants rated the emotional valence of pictures while performing an emotion regulation (ER) task, comparing a control condition (Look) with two ER strategies: cognitive reappraisal and expressive suppression. We performed a multilabel classification to identify emotional neutrality or polarization of emotional valence (positive or negative) rated by participants and the emotion regulation strategy adopted during the task. We compared the performance of models trained on three datasets selected based on label noise and evaluated their suitability for this task. We then applied the Integrated Gradient technique to each model in order to assess the explainability of each model. Our results suggest different patterns based on the architecture used for feature importance, highlighting both advantages and criticisms.
Maternal Prepregnancy Overweight/Obesity and adverse pregnancy outcomes in twins: A Population-Based Cohort Study in China
Authors: Feng Zhoushan , Wu Xiaohong , Tong Xiao-mei , He Zheng , Yang Chunxia , Shen Wei , Ding Yueqin , Liu Jin , Meng Qiong , Zhang Aiqin , Jiang Hong , Yan Wenkang , Qiu Jianwu , Wei Xian , Zhang Yayu , Lin Xiaobo , Liu Lijun , Jin Ya , Wei Youfen , Yang Xiufang , Wang Yitong , Cai Yangfan , Lin Xinzhu , Cui Qiliang 
Published: August 2023

Abstract
Background
Overweight or obese before pregnancy can have adverse effects on the health of singleton pregnant women, but its potential impact on twin pregnant mothers and twins is still unclear.
Material and methods
This study collected clinical data of twin births and their mothers from 22 units in 12 regions of China between January 2018 and December 2020. The study used multiple logistic regression analysis, propensity score matching analysis, inverse probability weighting, and overlap weighting models to control confounding factors, and explored the effects of different prepregnancy body mass index on adverse pregnancy outcomes.
Results
Compared to prepregnancy normal weight, prepregnancy overweight/obesity increased the incidence of larger and smaller twin infants with 1-min Apgar score ≤ 7 (adjusted OR (95% CI): 1.60 (1.20–2.13) and 1.45 (1.09–1.92), respectively), as well as the incidence of hypertensive disorders of pregnancy and gestational diabetes (adjusted OR (95% CI): 1.85 (1.55–2.21) and 1.49 (1.27–1.74), respectively). These findings were consistent after propensity score matching analysis, inverse probability weighting, and overlapping weighting. Additionally, prepregnancy underweight reduced the rate of twins with 1-min Apgar score ≤ 7 (0.56 (0.32–0.92) and 0.58 (0.34–0.94), respectively). Different prepregnancy BMI did not have a significant impact on 5-minute Apgar score, birth weight discordance in twins, NICU admission, preterm birth or low birth weight.
Conclusion
Maternal overweight/obesity before pregnancy increases the incidence of hypertensive disorders of pregnancy and gestational diabetes in twin pregnancies, and also elevates the risk of twins having a low Apgar score. Therefore, it is imperative to manage weight before pregnancy and prepare for neonatal resuscitation during delivery.