bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comparative evaluation of landslide susceptibility mapping using machine learning-based methods in Bogor area of Indonesia
Authors: Melati Dian Nuraini , Umbara Raditya Panji , Astisiasari Astisiasari , Wisyanto Wisyanto , Trisnafiah Syakira , Trinugroho Trinugroho , Prawiradisastra Firman , Arifianti Yukni , Ramdhani Taufik Iqbal , Arifin Samsul , Anggreainy Maria Susan 
Published: November 2023

Abstract
Landslide is one of the most highly frequent natural hazards that can bring serious casualties. One of the most susceptible landslide regions in Indonesia is Bogor area (the Regency and City of Bogor), which records the highest landslide events in the Province of West Java, Indonesia. An assessment of landslide susceptibility is one of the mitigation measures that can spatially model the zone of landslide hazard. Recently, the Landslide Susceptibility Mapping (LSM) model has been developed by using Machine Learning (ML) algorithms. However, there is still no agreement yet on which ML technique is the most appropriate for LSM. Accordingly, this paper aims to explore and compare the 7 ML algorithms for generating the most promising LSM. The LSM uses the available 13 landslide causal factors and a dataset consisting of 822 authorized landslide records and 822 prepared non-landslide points. The resulting LSMs are classified into 5 susceptibility levels, and evaluated through the Area Under Curve (AUC) of the Receiver Operating Curve (ROC) and statistical indices (sensitivity, specificity, precision, F1-score, and accuracy). The resulting LSMs present that: (1) the very-high (VH) class has the largest area percentage in all LSM models, (2) generally, the 7 MLs perform excellent for achieving >90% AUC value, except for the Decision Tree (DT) (87.84%) in model classification, (3) moreover, the overall accuracy (ACC) reflects that Random Forest (RF) outperforms the other MLs in model prediction. With this promising result, ML-based LSM models can be promoted as one of the mitigation measures for landslide disaster management.
Radiomics Features on Computed Tomography Combined with Clinical Factors Predicting Hypoproteinemia in Patients with Traumatic Brain Injury
Authors: Li Yuping , Jiang Yong’An , Zhang Yan , Yuan Raorao , Fan Hengyi , Fan Xinjiang , Zhang Yichen , Cheng Shiqi 
Published: November 2023

Abstract

Background
Traumatic brain injury (TBI) is a major cause of death and disability in all age groups, placing a heavy burden on society and families, serum albumin levels have a significant impact on mortality and length of hospitalization patients. This study was made to develop a predictive model based on Computed Tomography (CT) and clinical parameters to explore the predictable power of the model in the development of hypoproteinemia with TBI patients.
Methods
A total of 72 TBI patients were prospectively recruited and confirmed as hypoproteinemia in 26 cases. A cranial CT and clinical parameters such as age, gender, admission Glasgow score were collected to establish the clinical model. The least absolute shrinkage and selection operator (LASSO) was applied to extract radiological features. Then a total of five different machine learning methods (RF, SVM, GNB, XGB, KNN) were used to establish the prediction model of radiomics. Finally, a combined model: clinical-radiological was constructed. The average area under the curve (AUC) were used to evaluate the performance of each model.
Results
Comparing these three different models, we found that the radiomic models combined with clinical parameters showed the best performance, which had an AUC with 0.8704 compared with clinical model only AUC = 0.8512 and radiomics model only AUC = 0.7040, respectively.
Conclusions
The model of radiomics features combined with clinical parameters is superior to the radiomics model and clinical model alone, and the model of radiomics combined with clinical parameters is a useful tool for predicting the occurrence of hypoproteinemia in patients with traumatic brain injury.
Life-threatening gastrointestinal bleeding caused by cytomegalovirus-induced duodenal ulcer in a patient with AIDS： a case report
Authors: Song Shihui , Guo Wei , Zou Shi , Zhou Feng , Luo Mingqi , Chen Li , Liang Ke 
Published: November 2023

Abstract

Background Diagnosis and treatment for
gastrointestinal bleeding among patients with acquired immune deficiency syndrome (AIDS) were challenging. Here we present a rare case of life-threatening gastrointestinal bleeding in an AIDS patient.
Case presentation
A 31-year-old male with a three-month history of HIV infection was admitted on July 18, 2023, complaining of abdominal pain for over one month and hematochezia for the past twelve days. During his hospitalization, gastrointestinal endoscopy identified the source of bleeding as a duodenal ulcer associated with cytomegalovirus(CMV) infection confirmed through comprehensive determination methods involving metagenomic next-generation sequencing (mNGs), hematoxylin-eosin(HE), and immunohistochemistry (IHC) staining of biopsy tissue from the ulcer. The patient received interventional embolization to manage emergency gastrointestinal bleeding in addition to four-week anti-CMV treatment and remained in stable clinical condition during two months follow-up.
Conclusions
This case highlights potential complexity of CMV infection in HIV-infected patients with gastrointestinal bleeding.
Genome-wide identification, transcript profiling and functional analyses of PCP gene family in Wucai (Brassica campestris)
Authors: Wang Ying , Liu Xueqing , Zhao Longlong , Tang Xiaoyan , Wang Wenjie , Khan Afrasyab , Pang Xiaoke , Yang Danni , Wang Yongkang , Wang Chenggang , Yuan Lingyun , Hou Jinfeng , Chen Guohu 
Published: November 2023

Abstract
Pollen coat proteins (PCPs) are cysteine-rich small-molecule proteins, which exhibit high levels of polymorphism and are expressed in gametocytes. Previous investigations have revealed that PCP genes are involved in pollen wall synthesis, pollen-stigma recognition, pollen development and germination. However, gene expression and function of PCP family in pollen development is not well understood in Wucai (Brassica campestris L.). In this study, genome-wide identification and expression analysis of the BcPCPgene family members were conducted, including their physical and chemical properties, chromosome localization, phylogenetic tree, gene structure, and tertiary structure. A total of 20 BcPCP genes were identified and classified into three subfamilies with high homology to Arabidopsis thaliana. Furthermore, PCP members associated with male sterility were screened based on several transcriptome and proteome datasets, and BraA02g002400.3C was identified as a candidate gene. Gene sequence analysis revealed that this gene was homologous to GRP20 gene, and was named BcGRP20. Functional analysis of this gene showed that overexpression of BcGRP20 gene in the Arabidopsis grp20 mutant could restore anther fertility.
Xanthohumol inhibits proliferation via increasing reactive oxygen species and inducing G1/S phase cell cycle arrest in NG108-15 cells
Authors: Hu Chenyu , Tian Jiazhen , Yan Hanyu , Zhang Ting , Abulizi Amier , Mi Xiangquan 
Published: November 2023

Abstract
Xanthohomul (XN), a naturally prenylated flavonoid, is extracted from hops (Humulus lupulus L.; Cannabaceae). XN treated NG108-15 cells significantly decreased cell viability through increased ROS and arrested the cell cycle at G1/S phase. Notably, XN treatment did not induce apoptotic responses. Further research revealed XN-treatment increased reactive oxygen species (ROS) levels which was alleviated by N-acetyl-L-cysteine (NAC). Moreover, XN triggered the phosphorylation of the estrogen-regulated kinase (ERK1/2) and p38 mitogen activated protein kinase (MAPK). Intriguingly, our observations indicated that only ERK inhibitor could partly relieve XN-induced G1/S cycle arrest and proliferation inhibition. Hence, XN emerges as a prospective candidate for an anti-neurotumor pharmaceutical agent.
Influences of laser on the energy parameters of the electric arc in the case of laser-MIG hybrid welding
Authors: Bidi Lyes , Masson Philippe Le , Cicala Eugen 
Published: November 2023

Abstract
The work presented in this paper deals with the relationship between the laser and the electric arc during welding and chamfer filling operations using the hybrid laser welding process. This unconventional welding process requires perfect mastery, in order to increase the productivity and quality of welds, especially in nuclear facilities. Mastering the hybrid process involves a phase of understanding the phenomena involved in a welding operation. To better understand the role of each process in the combination of laser and MIG, we carried out a laser-only and MIG-only tests using the same operating parameters as those used in hybrid welding. Test results show that the laser preheats the surface, with some of the energy deposited on the side walls of the chamfer. The role of MIG is to deposit metal to fill the chamfer. We can therefore consider that its main role is to provide a volumetric energy deposit. Using the experimental design, we studied the influence of five parameters such as wire speed, distance between the laser and the MIG, welding speed, laser power and laser defocusing on the power of the MIG. The results show that the interaction between laser power and wire speed has the greatest effect on arc power, followed by wire speed and other interactions. To verify the arc energy values given by the FRONIUS generator, we carried out additional measurements using a SEFRAM device. The results measured by FRONIUS are always higher than those of SEFRAM. Both series of measurements follow the same variations.
Water Quality Prediction in Urban Waterways Based on Wavelet Packet Denoising and LSTM
Authors: pang jiafeng , Luo Wei , Y Zeyu , Chen Jing , Dong Chunyu , Lin Kairong 
Published: November 2023

Abstract
The prediction of water quality in urban rivers plays a crucial role in supporting water environment management. This study collected and organized real-time water quality monitoring data from four water quality monitoring stations in the Fenjiang River Basin of Foshan City, spanning from 2016 to 2021. To reduce noise interference in historical monitoring data, we applied a wavelet packet denoising (WPD) technique. Subsequently, we developed a single-factor water quality prediction model based on Long Short-Term Memory (LSTM), focusing on two key factors of water quality degradation: chemical oxygen demand (COD) and ammonia nitrogen (NH3-N). The results of this study demonstrate that the integration of WPD with LSTM, referred to as WPD-LSTM, outperformed conventional LSTM models in terms of predictive accuracy. Notably, the WPD-LSTM model exhibited superior performance in predicting the impact of COD and NH3-N on water quality in the Fenjiang River, surpassing the traditional LSTM model over a prediction period of 12 hours and 3 days. In the 12-hour prediction, the RMSE values of NH3-N predictions in the four monitoring sections decreased by 55% to 67%, with an average decrease of 61%; the RMSE values of COD predictions in the four monitoring sections decreased by 18% to 51%, with an average decrease of 29%. In the 3-day prediction, the RMSE values of NH3-N predictions in the four monitoring sections decreased by 40% to 83%, with an average decrease of 65%; the RMSE values of COD predictions in the four monitoring sections decreased by 50% to 69%, with an average decrease of 60%. By employing the WPD-LSTM method, this study contributes to improving the precision of water quality prediction, thereby providing valuable insights for effective water environment management in urban river systems.
Beneficial effects of imagination of successful action after an actual error on baseline performances in non-expert tennis players
Authors: Robin Nicolas , Carien Robbin , Ouarti Younès , Dominique Laurent 
Published: November 2023

Abstract
The aim of this original study was to evaluate the effects of positive motor imagery (MI: imagining the success of a forehand or backhand shot) according to an internal visual modality centred on the movement and the target to be reached on tennis performance. 24 young non-expert players were randomly divided into two groups: control and MI, and performed 3 experimental phases. The first (pre-test) consisted of performing 6 blocks of 5 forehand and backhand groundstrokes, sent randomly by a ball launcher, towards the baseline and then a super tie-break. The second phase consisted of 12 acquisition sessions, each including, after a standardized warm-up, 15 minutes of background rally in pairs. The participants of the MI group were instructed, after unprovoked errors on their part, to imagine performing the previous shot correctly. The last phase (post-test) was identical to the pre-test. The efficiency score of shots made and the number of errors committed at the pre- and post-test served as dependent variables. The results of this study indicate that participants in the MI group performed better than the control group at post-test. The MI, performed after errors, has positive effects on the quality of the shot and reduces the number of unforced errors of tennis players. The use of this strategy is discussed and applied recommendations are proposed.
A Ball-Jointed Tendon-Driven Continuum Robot with Multi-Directional Operability for Grasping Objects
Authors: Onose Ryo , Sawada Hideyuki 
Published: November 2023

Abstract
A continuum robot, inspired by biological features, flexibly bends its body and conform to various shapes. The high compliance and low stiffness, however, causes low rigidity and ambiguity in control when it is applied to grasping and manipulating an object. In this study, we develop a ball-jointed tendon-driven continuum robot that can bend to arbitrary directions for manipulating and grasping an object. Discs are connected by ball joints, together with coil springs coupled with tendon threads, and form a backbone of the robotic body. The continuum robot is operated to bend to an arbitrary direction by pulling the tendons using three servomotors, and returns to the original straight shape by releasing the pulling force of the contracted coil springs. The robot is constructed by using 3D-printed parts. In the experiment, the manipulator's grasping performance was demonstrated by preparing five objects that have various shapes, sizes and softness. The robot successfully grasped all the objects by wrapping around them, adapting its shape to the object's shapes. Furthermore, the ability of the multi-directional operation was tested by bending the continuum body to specific directions, and then performing arc-following motion. The experiments verified the satisfactory operability of the continuum robot.
Comparative Assessment of WINISI and Unscrambler for NIRS Modelling of Phytate and Antioxidants in Brown Rice
Authors: John Racheal , Bhardwaj Rakesh , Jeyaseelan Christine , Bollinedi Haritha , Singh Rakesh , Singh G P 
Published: November 2023

Abstract

Brown rice has been known to be a better alternative to polished rice due to greater amounts of nutrients including antioxidants. Phytic acid and phenols in brown rice are also known to impart antioxidant capacity. Near infrared reflectance spectroscopy is renowned to estimate the nutritional composition of brown rice. The present study was conducted to develop the prediction models of total phenolic content (TPC), phytic acid (TPA) and antioxidant capacity (TAC) of brown rice. While both WIN ISI and The Unscrambler® software produce crisp models, certain limitations such as principle component analysis (PCA) descriptives in WIN ISI and inverse multiple scatter correction (iMSC) in The Unscrambler® lead to uncertainty of the results. Hence, the models in this study were generated using PCA and partial least square (PLS) regression, which were compared on both WIN ISI and The Unscrambler® separately. The reference data of 226 rice landraces was subjected to both the softwares and optimal models were obtained from standard normal variate (SNV-DT) for TPA and TPC over The Unscrambler®, while multiplicative scatter correction (MSC) was found better for TPC model development on WIN ISI. According to regression analysis the best prediction model was obtained for TPC employing MSC with RSQ = 0.925 and RPD = 3.11 in WIN ISI, while the rest were better validated in The Unscrambler® using SNV-DT with RSQ = 0.888, 0.958 RPD = 2.97, 2.93 for TPA and TAC respectively. The results are indicative of the NIRS ability and the effect of different scatter corrections to rapidly predict antioxidant content in brown rice.
The effect of a short-term multi-modal prehabilitation intervention on the systemic stress response in patients undergoing semi-elective surgery for gastrointestinal cancer: a randomized controlled clinical trial
Authors: Fang Fang , Tai Rui , Han Chao , Huang Chen , Zhang Yaqing 
Published: November 2023

Abstract
Objective
To evaluate the possible effects of short-term multi-modal prehabilitation intervention on the post-operative stress response in patients undergoing semi-elective surgery for gastrointestinal cancer.
Methods
A prospective and randomized clinical study was conducted in 84 patients with gastrointestinal cancers who underwent semi-elective surgery in a single university clinical hospital from June 2023 to October 2023. Patients were randomized into the standard (SD) group and the short-term prehabilitation (STP)group (1:1). The SD group received routine treatment and care, while the STP group received one-week prehabilitation including physical exercise, nutritional, and psychosocial interventions. Changes in post-operative stress response, outcome and recovery of patients in each group were observed.
Results
The two groups of patients were similar in terms of age, gender, body mass index, ASA grade and tumor type. After surgery, concentrations of epinephrine(6h), C-reactive protein(7d), and IL-6(6h) levels were significantly lower in the STP group than in the SD group(P < 0.05). There were no significant differences in patients postoperative norepinephrine, insulin, glucose, IL-8 expression levels between the two groups at all time points. Besides, the time to first flatus(P = 0.02), first diet(P = 0.01) and ambulation(P = 0.01) were significantly reduced in the STP group than those in the SD group. Differences in drainage removal time, postoperative hospital stay, postoperative complications were not statistically significant.
Conclusion
Our findings demonstrated that levels of certain metabolic(epinephrine), acute phase(CRP) and cytokine(IL-6) parameters were significantly lower in the STP group than in the SD group, which reflected a lesser degree of postoperative stress response in gastrointestinal cancer patients associated with the short-term prehabilitation. Furthermore, patients gastrointestinal function and exercise tolerance could recover more quickly.
Registration number
This randomized, and controlled clinical trial was approved by the ethics committee of our hospital and registered in Chinese Clinical Trial Registry in January 2022 with the registration number ChiCTR2200055764.
Another market segment: Sport Event Tourism (SET) by Disabled Athletes (DA)
Authors: Yun Seokmin , Kim Kyungjin , Lee Sangyung , Kim Young Hoon 
Published: November 2023

Abstract
Sports and tourism are connected in various parts of economies, cultures, and nations. However, there has been a limited understanding of sports event tourism involving disabled athletes. This study explored the behavioral and socio-demographic implications of the disabled sports event tourism and investigated the motivational factors Involved. An in-person survey was administered to 108 disabled athletes who attended the summer and winter Paralympics. The results showed that life satisfaction had a significant direct effect on future intentions. Emotional happiness had a significant direct effect on the perceived value of an event. Escapism had significant direct effects on perceived value and future intentions. Perceived value significantly influenced future intentions. The relationship between emotional happiness and future intention was fully mediated by perceived value. However, the relationship between escapism and future intention was only partially mediated by perceived value. The results of this study are valuable for developing future management and marketing policies for disabled athletes and tourists.
Carrot Pomace Powder: A Promising Source of Polyphenols and Prebiotics for Improving Gut Health
Authors: Mall Urvashi P. , Patel V. H. 
Published: November 2023

Abstract

Purpose: This study aimed to evaluate the properties of carrot pomace, including its nutritional composition, physiochemical attributes, change in polyphenols, and prebiotic potential during in vitro gastrointestinal digestion and fermentation.
Methods:The study involved evaluating the nutritional and physiochemical properties of carrot pomace. It also assessed an in vitro gastrointestinal digestion model to evaluate changes in polyphenol levels and antioxidant properties at different digestive stages. The study also examined the prebiotic potential by analysing the growth of Lactobacillus acidophilus and short-chain fatty acid production by in vitro fermentation assay. High-resolution LC-MS analysis was used to identify polyphenolic compounds before and after digestion.
Results: The findings demonstrated that carrot pomace powder contained 43.59% dietary fiber. During in vitro digestion, polyphenols content and antioxidant properties (TPC, TFC, FRAP, DPPH-RSA, and ABTS-RSA) were significantly different at each digestive stage, with strong correlations observed among polyphenols and antioxidant. Notably, polyphenol recovery percentages were significant throughout the digestion phases. Carrot pomace also exhibited prebiotic properties by promoting the growth of L. acidophilus and enhancing short-chain fatty acid production. High-resolution LC-MS analysis revealed eight polyphenolic compounds and their metabolites found in carrot pomace powder (CPP) before and three polyphenolic compounds present after in vitro gastrointestinal digestion.
Conclusion:This research indicated that polyphenols from carrot pomace could potentially play a role in gastrointestinal and colonic health. The utilization of valuable bio-resources as carrot by-products is another step forward in waste management and reducing the primary waste generated by the industry.