bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vulnerability study of groundwater using interaction-based model in Musi River Basin, Telangana, India
Authors: Mondal N. C. , Chandrapuri S. 
Published: December 2024

Abstract

This article aims to develop an interaction-based model for assessing hydrogeological risks by quantifying uncertainties in parameters such as precipitation, soil moisture, evapotranspiration, surface water runoff, and groundwater level. The model is applied to eight sub-basins of the Musi River in Telangana, India, to compare their hydrogeological vulnerabilities. The results indicate that the Musi basin receives substantial annual rainfall, with significant variability in precipitation levels across different sub-basins and years. A large proportion of the precipitation occurs during the monsoon season from June to September. Increased rainfall significantly raises water levels, demonstrating a direct correlation between rainfall and groundwater depth. This relationship is crucial for effective water management. Rainfall variability is considerable, leading to significant fluctuations in water levels, reflecting the basin's hydrological responsiveness. Entropy measures highlight the complexity and predictability of hydrological interactions. During the monsoon, M7-Osman Sagar sub-basin shows significant recharge, but the M4-Shamirpet sub-basin the least. Whereas the M6-Hussain Sagar exhibits a stable recharge pattern year-round. Evapotranspiration and depth to water level interactions vary across sub-basins, indicating differences in water availability and atmospheric conditions. The highest soil moisture interaction, particularly during the monsoon has observed at a few sub-basins. Surface runoff and depth to water level interactions also vary, with M3-Bikkeru having the highest interaction, suggesting high responsiveness to runoff. Groundwater vulnerability classifications based on two diverse hydrological attributes indicate varying levels of risk across the sub-basins. These findings underscore the importance of understanding basin-specific interactions for effective water resource management and planning, particularly in regions with varied hydrological responses to rainfall and groundwater resources. This nuanced approach aids in designing effective strategies for irrigation, water storage, and flood management tailored to each basin's unique characteristics.
Rubber accumulation and rubber transferase activity during root development of Taraxacum kok-saghyz dandelion
Authors: Saba Beenish , Scott Deborah J. , McMahan Colleen , Shintani David , Cornish Katrina 
Published: December 2024

Abstract

Taraxacum kok-saghyz dandelion is a leading alternative natural rubber-producing plant that thrives in temperate climates. Latex, rubber and rubber transferase (RTase) activity of genetically identical clonal plants, produced in tissue culture, and then grown in the field for six months to one year was quantified throughout development. Induction of rubber transferase activity and rubber accumulation occurred between two and three months. RTase activity increased with age up to 16 weeks, while latex concentration increased up to week 20. When enzymatically active WRP were saturated with 5 mM [14C]-isopentenyl pyrophosphate (IPP) and 12 µM farnesyl pyrophosphate (FPP), reaction velocity was 85% higher at 16 weeks than at 12 weeks of plant growth. The RTase FPP Km was about 0.263 µM, through most of the growth period, in line with other laciferous species. High molecular weight rubber was produced in very young roots. 0.9 Mg/mol in only 6 weeks and 1.1 Mg/mol in 8 weeks.
Cre-driven tdTomato expression unexpectedly confers lupus resistance in dLckCre mice
Authors: Xu Zhenghao , Han Ning , Wang Keer , Hou Xiaoxiao , Han Mingxuan , Yang Dan 
Published: December 2024

Abstract

The Cre-driven tdTomato reporter system is widely used to visualize gene expression and cellular dynamics. Here we tested the impact of the tdTomato reporter system on the progression of both central and peripheral manifestations of systemic lupus erythematosus (SLE) in dLckCre mice. We crossed dLckCre mice with ROSA26floxed-Stop-tdTomato mice to generate the conditional dLck-driven tdTomato reporter mice (DT mice). Then, SLE models were induced by pristane injection in DT mice or by crossing DT mice with B6/lpr mice. Central and peripheral manifestations of SLE were tested by. Surprisingly, we found DT mice exhibited a significant reduction in the progression of peripheral manifestations of SLE, evidenced by decreased severity of lymph node and splenic lesions, and improved renal pathology. However, DT mice showed similar central manifestations of SLE as control mice, evidenced by similar behavioral performance, CD4+ T cell infiltration in the choroid plexus, and microglial activation in the hippocampus. Flow cytometry revealed a significant reduction in the proportion of double-negative (DN) T cells in the peripheral blood of the DT mice. Thus, conditional tdTomato expression alleviated peripheral but not central manifestations of SLE in dLckCre mice, suggesting a diverse role of dLck-labeled T lymphocytes in SLE development. Our results also provide additional evidence supporting the existence of a distinct separation mechanism between peripheral and central manifestations of SLE.
Improved TODIM method for Probabilistic Linguistic MAGDM based on New Distance Measure
Authors: Li Ke , Xu Lei , Liu Yi , Wang Hongjuan , Rong Yuan 
Published: December 2024

Abstract

Probabilistic linguistic term sets (PLTSs) offer a superior means of capturing decision-makers’ evaluations, accurately and reliably reflecting their opinions. It account for both the inherent ambiguity of linguistic terms and the uncertainty associated with those terms. In this article, we elaborate on the application of the Frank operator within the context of probabilistic linguistic multiple attribute group decision making (MAGDM), leveraging its adjusted rules. In addition, we introduce a novel distance measure, rooted in linguistic scale functions, to address the limitations of existing distance metrics. Based on this new distance measure, we develop an extended TODIM method specific to the PLTSs environment.Concurrently, we enhance the rationality of attribute weighting by integrating the criteria importance though intercrieria correlation(CRITIC) method and the best-worst method (BWM) within the PLTSs framework. To demonstrate the practical application of our proposed approach, the purchase selection of electric vehicles was taken as an example to show the procedure of the proposed method. We outline the step-by-step procedure and conduct sensitivity and comparative analyses to validate the effectiveness and rationality of our methodology.
Dual-Metal-Doped Perovskite Adsorbents for Efficient Removal of Humic Acid
Authors: Low Ze-Xian , Zhao Lekai , Han Shuang , Ma Xiao , Zhou Ming , Wang Qiuyue , Feng Shasha , Zhong Zhaoxiang , Xing Weihong 
Published: December 2024

Abstract

Humic acid (HA), a complex organic compound of natural matter, is harmless on its own but can form carcinogenic disinfection byproducts such as trihalomethanes and haloacetic acids during water chlorination and disinfection processes, posing serious risks to aquatic organisms and human health. We present a B-site dual-metal-doping strategy to fabricate ferromagnetic perovskite-type adsorbents for rapid and efficient HA degradation. Through B-site modification with Ti and Co, the resulting perovskite absorbent exhibits a rapid HA adsorption rate with a high adsorption capacity of 381 mg/g. We demonstrate that the adsorbent can be regenerated in situ or magnetically recovered for Fenton regeneration. The dynamic adsorption behavior of HA is accurately described and predicted by the Bed Depth Service Time (BDST), Thomas, and Yoon-Nelson models while computational simulations provide insights into the interactions between the perovskite adsorbent and HA molecules. Our findings reveal the potential of perovskite materials as highly effective catalytic adsorbents for organic compounds that can be efficiently regenerated, paving the way for their development in water remediation applications.
Effectiveness of M-learning and Gamification in Undergraduate Medical Education in Southern Coastal Karnataka
Authors: Kodyalamoole Nishanth Krishna , Jacob Ankeeta Menona 
Published: December 2024

Abstract

Mobile(M)- Learning and Gamification have been shown to be effective in teaching. Quizizz is a platform which enables the use of these techniques. This study was done to assess the effectiveness and feasibility of the M-learning application Quizizz in undergraduate medical education. A quasi-experimental study was done among the medical students at a private medical college. Pre-test was conducted in the quiz mode of Quizizz, and integrated class and post-test was conducted in the lesson mode of Quizizz. Feedback was taken in the 5-point Likert scale regarding the Quizizz platform using a self-administered Google Form. The anonymised scored from the test and the feedback were analysed to meet the study objectives. Of the 91 students who answered both the pre-test and post-test, the mean score increased in the post-test compared to the pre-test and the mean time taken also reduced. The feedback received from the students also suggested that the platform was easy to use and increased the attentiveness of the students. The friendly competition made the learning fun and increased participation of the students. Hence, M-learning and Gamification are viable and beneficial ways to improve information acquisition in medical education
A simulation study on risk emergence mechanism and transmission path of coal mine workers' unsafe behaviours
Authors: Zhou Lujie , Wang Menghan , Yu Kai , Wang Tianyu , Mu Zhaoxiang , Wang Zhenyue 
Published: December 2024

Abstract

In coal mine production activities, unsafe behaviours of workers are one of the important factors leading to frequent accidents. In view of the complex and changing working environment of coal mines, the safety risks faced by workers are high, therefore, exploring the internal mechanism of the unsafe behaviours of coal mine workers and the action mechanism between the influencing factors has become the top priority of studying the unsafe behaviours of coal mine workers. First of all, with the help of text mining techniques, this paper extracts a total of 26 factors affecting the unsafe behaviours of coal mine workers. Then, DEMATEL-ISM method is used to construct the mutual influence mechanism among the factors influencing unsafe behaviours and the hierarchical logical relationship among the factors, and then the key cause nodes affecting the unsafe behaviours of coal mine workers are obtained, which are work experience and psychological status. Then, Arena simulation technology was used to analyse the risk transmission path among the factors influencing unsafe behaviours, taking work experience and psychological status as the starting point, and the risk transmission rule among the factors influencing unsafe behaviours of coal mine workers was obtained. Finally, specific control countermeasures for coal mine workers' unsafe behaviours are proposed from five aspects: safety management, individual, group, safety leadership and physical environment. The results of this study can provide important theoretical support and practical guidance for coal mine safety production, help to reduce the accident rate, ensure the life safety of coal mine workers and the sustainable development of enterprises.
Unexpectedly Benign Pulmonary Nodules Using Machine Learning
Authors: Meng Yanrong , Wang Fengsheng , Liu Dan , Wang Jing , Wang Yan , Zhang Jilai , Wang Junkang , Xing Jiayi , Huang Shaoquan , Kang Xindan 
Published: December 2024

Abstract

Background: The widespread application of computed tomography (CT) for pulmonary disease screening has led to an increased detection of pulmonary nodules. However, this has also resulted in a high false-positive rate for suspected malignancies that ultimately prove to be benign. It is crucial to explore the clinical and imaging characteristics of these patients to avoid unnecessary major pulmonary resections. This study aims to evaluate the characteristics of surgically resected benign nodules that were initially presumed to be lung cancers based on lung CT scans.
Materials and Methods: This retrospective study analyzed 203 cases of benign lung nodules at the First Medical Centre of the Chinese People’s Liberation Army (PLA) General Hospital from January 2017 to June 2023. Pathological examination following surgical resection confirmed pulmonary granulomatous inflammation in these cases. The study cohort was divided into two groups: 86 patients with benign nodules and 117 with malignant nodules, all diagnosed based on imaging features. Given the overlapping imaging features of benign and malignant nodules, the clinical and imaging characteristics of both groups were compared to reduce the incidence of unnecessary surgeries. Various machine learning models, including Random Forest, SVM linear, SVM nonlinear, Logistic Regression, XGBoost, and k-Nearest Neighbor, were constructed. With the optimal model selected based on performance on a validation set, A framework was developed to identify personalized risk factors using a feature importance ranking algorithm.
Results: Analysis of data from 203 patients revealed significant differences in maximum lesion size (pathological diagnosis), nodule density, boundary, calcification, satellite nodules, vascular aggregation sign, vacuole sign, spiculation sign, lobulation sign, pleural indentation sign, and nodule location (p<0.05). The SVMlinear model, which achieved the highest AUC (0.867), was selected for the final predictive model.Using recursive feature elimination method and manual feature selection, the feature of lesion size, lobulation sign, vacuole sing and enlarged lymph nodes have been screened in predicting and distinguishing the nature of nodules through imaging.
Conclusion:Benign pulmonary nodules that are unexpectedly resected often present with features typically associated with malignancy, such as larger volumes, lobulation, vacuole signs, and enlarged lymph nodes. This study highlights the importance of accurately distinguishing between benign and malignant nodules to minimize unnecessary surgical interventions.
Effect of two concentrations of ropivacaine on rebound pain after retreat of iliac fascia block in patients undergoing total knee arthroplasty：a prospective, double-blind randomized controlled trial
Authors: Qin Qin , Huang Zong-rui , Wang Xin-yi , Wang Jing-xuan , Jin Bing-rong , Zhu Jiang , Xie Hong 
Published: December 2024

Abstract

Objective: The aim of this research was to evaluate the effect of two different local anesthetic concentrations on rebound pain following Fascial Iliac Compartment Block (FICB) retreat in patients undergoing total knee arthroplasty (TKA).
Method: 48 patients undergoing unilateral TKA under elective general anesthesia were randomly divided into two groups (n=24): the 0.1% ropivacaine group (Group A) and the 0.3% ropivacaine group (Group B). Before anesthesia, two groups of patients underwent a single ultrasound guided- FICB above the inguinal ligament, with 40 mL of 0.1% or 0.3% ropivacaine; all patients underwent perioperative multimodal analgesia. The first outcomes are incidence and degree of postoperative rebound pain; secondary outcomes are remedial analgesia rate within 48h postoperatively, opioid consumption from 0-24 h and 24-48 h postoperatively, NRS scores and muscle strength scores at rest and exercise at 24h and 48h postoperatively, and intravenous serum concentrations of interleukin-6 (IL-6) and tumor necrosis factor α(TNF-α) before surgery and at 24 and 48 h after surgery.
Results: In group A, the incidence of postoperative rebound pain was lower (P<0.01), and the degree of rebound pain was milder (P<0.01). The remedial analgesia rate was lower within 48 h after surgery (P<0.05); opioid consumption was lower at 0-24 h after surgery (P<0.01); the postoperative NRS score at 24 h was lower (P<0.01), while the muscle strength score was higher (P<0.01); There was no statistically significant difference in intravenous serum concentrations of IL-6 and TNF-α before surgery, and at 24 and 48 h after surgery.
Conclusion: The incidence of rebound pain after the resolution of FICB with low-concentration ropivacaine was lower, and low-concentration ropivacaine FICB was more suitable for multimodal analgesia in TKA patients.
Craniopharyngiomas in children: the pendulum moves again for an aggressive surgery. Late complications and considerations with a recent series of 26 patients treated in Lyon
Authors: beuriat pierre-aurélien , Szathmari alexandru , Rocco federico Di , Villanueva Carine , Bazus Lucie , Cabet Sara , veyrie Marina , Mottolese Carmine 
Published: December 2024

Abstract

Background: Craniopharyngioma (CP) surgery in children leads to high rate of recurrence, and morbid complications. Transcranial approach is the most frequently proposed surgical technique, but transsphenoidal endoscopic approach is also used.
Pre and post-operative complications of the tumor are well known, but early multidisciplinary management could improve the long-term outcome of these patients.
The aim of this study was to analyze the risk factors for pre-and post-operative long-term complications in a series of patients operated with an aggressive removal for CP.
Methods: A retrospective study of 26 children diagnosed with CP was carried out.
The surgical total removal was possible in 88% of cases after the revision of the post-operative MRI realized in the first 48 hours.
Results: Children with hypothalamic involvement were more likely to have endocrine deficits and to be overweight or obese pre-operatively. They also had a higher risk of early post-operative complications, and late morbidities.
Conclusion: Children with CP and strong hypothalamic involvement, have a higher risk of pre and post-operative complications but complete removal is associated with an high rate of cure with global good neuropsychological results. Early multidisciplinary post-operative management should be reinforced to improve the long-term outcome but surgery with total removal can insure definitive acceptable clinical results.
Transcriptome profiling reveals key genes and pathways associated with early heading in wheat–Psathyrostachys huashanica 7Ns chromosome addition line
Authors: Tan Binwen , Xie Yangqiu , Peng Hang , Wang Miaomiao , Zhu Wei , Xu Lili , Cheng Yiran , Wang Yi , Zeng Jian , Fan Xing , Sha Lina , Zhang Haiqin , Qin Peng , Zhou Yonghong , Wu Dandan , Li Yinghui , Kang Houyang 
Published: December 2024

Abstract

Developing early-heading wheat cultivars is an important breeding strategy for saving photo-terminal resources, and facilitating the multiple-cropping systems and annual grain yield. Psathyrostachys huashanica Keng (2n = 2x = 14, NsNs) is a potentially useful germplasm of early heading and maturation for wheat improvement. In this study, we found that a wheat–P. huashanica 7Ns disomic addition line, namely 18-1-5, showed earlier heading and earlier maturation than its wheat parents. Morphological observations of spike differentiation revealed that 18-1-5 developed distinctly faster than its wheat parents from the double ridge stage during spike development. To explore the potential molecular mechanisms on the early heading, we performed transcriptome analysis at four different developmental stages of 18-1-5 and its wheat parents. A total of 10,043 differentially expressed genes (DEGs) were identified during spike development. Gene Ontology (GO) enrichment analysis showed that these DEGs were linked to carbohydrate metabolic process, photosynthesis, response to abscisic acid, and ethylene-activated signaling pathway. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that these DEGs were mainly involved in plant hormone signal transduction (ARF, AUX/IAA, SAUR, DELLA, BRI1, and ETR), starch and sucrose metabolism (SUS1 and TPP), photosynthesis-antenna proteins (Lhc), and circadian rhythm (PRR37, FT, Hd3a, COL, and CDF) pathways. In addition, several DEGs annotated as transcription factors (TFs), such as bHLH, bZIP, MADS-box, MYB, NAC, SBP, WRKY, and NF-Y, may be related to flowering time. Our results provide valuable information for further studies on the regulatory mechanism, candidate genes, and genetic resources of early-heading breeding in wheat.
Reliability of an all-in-one wearable sensor for continuous vital signs monitoring in high-risk patients: the NIGHTINGALE clinical validation study
Authors: Breteler Martine J.M. , Leigard Ellen , Hartung Lisa C. , Welch John R. , Brealey David A. , Fritsch Sebastian J. , Konrad David , Hertzberg Daniel , Bell Max , Rienstra Heleen , Rademakers Frank E. , Kalkman Cor J. 
Published: December 2024

Abstract

Purpose
Continuous vital signs monitoring with wearable systems may improve early recognition of patient deterioration on hospital wards. The objective of this study was to determine whether the wearable Checkpoint Cardio’s CPC12S, can accurately measure heart rate (HR), respiratory rate (RR), oxygen saturation (SpO2), blood pressure (BP) and temperature continuously.
Methods
In an observational multicenter method comparison study of 70 high-risk surgical patients admitted to high-dependency wards; HR, RR, SpO2, BP and temperature were simultaneously measured with the CPC12S system and with ICU-grade monitoring systems in four European hospitals. Outcome measures were bias and 95% limits of agreement (LoA). Clinical accuracy was assessed with Clarke Error Grid analyses for HR and RR.
Results
A total of 3212 hours of vital signs data (on average 26h per patient) were analyzed. For HR, bias (95% LoA) of the pooled analysis was 0.0 (-3.5 to 3.4), for RR 1.5 (-3.7 to 7.5) and for SpO2 0.4 (-3.1 to 4.0). The CPC12S system overestimated BP, with a bias of 8.9 and wide LoA (-23.3 to 41.2). Temperature was underestimated with a bias of -0.6 and LoA of -1.7 to 0.6. Clarke Error Grid analyses showed that adequate treatment decisions regarding changes in HR and RR would have been taken in 99.2% and 92.0% of cases respectively.
Conclusion
The CPC12S system showed high accuracy for measurements of HR. The accuracy of RR, SpO2 were slightly overestimated and temperature slightly underestimated, but were reasonably accurate and within the predefined clinically acceptable limits. The accuracy of BP was unacceptably low.