bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of New Well Impact on Existing System Via Integrated Asset Modelling: A Case Study from Ordos Basin Tight Gas Field
Authors: Xu Wen , He Lang , Liu Lili , Chen Jiyun , Li Peng , Liu Jing , Wang Bing , Liu Yuan , Huang Yongjie , Cai Xingxing , Yang Bin 
Published: September 2024

Abstract
The production rate from low-permeability wells often declines rapidly during their lifespan, and from the field level, new wells are continuously planned and added to the existing production system. Previously, the impact of the new wells on the existing system, including surface and subsurface systems, is typically evaluated with standalone models, which often results in inconsistency and discontinuity. To resolve this issue, this paper introduced an integrated asset modelling (IAM) method to a gas field in the Ordos basin, China, and the results are continuous and consistent.
Changqing oilfield operates in Ordos basin, and it is currently the largest oil and gas field in China. Most of the gas reservoirs are tight and the gas production rate of each well decreases rapidly during the production phase. Thousands of new wells are drilled each year to maintain the total production from the field. To better evaluate the impact of those new wells, this paper introduced the IAM method to field Block-S, where more than one hundred wells were drilled and completed in an area of 150-km2. The typical features of wells in the Block-S reservoir are more than 3000-m deep, underpressurized, and have low permeability of less than 3.5 md. The subsurface, wellbore, and the pipeline models were prepared, history matched, and calibrated separately with geology data, production history, and various measurements. A standard IAM connector was used to couple the reservoir model and the production network by mapping parameters from both sides, e.g., pressure, inflow performance, liquid density, oil/gas ratio, and water/gas ratio from the reservoir model are passed to production network, while the gas flow rate from the network model is fed back to the reservoir numerical model as a control mechanism at a time step of 3 months. The coupled system is more realistic than the standalone simulations used previously, and it showed new insight into the production dynamics during the field development. In this study, several IAM examples are shown, which impact the operator’s decision making, including the use of a choke, the configuration of the compressors, and the tie-in location of the new well clusters. Overall, IAM allowed the operator to properly evaluate the impact of the new wells on the existing system, based on which the operator can optimize the engineering aspect of the new wells. The IAM concept and practice are also suitable for many other gas fields or underground storage scenarios.
Peritoneal closure does not reduce the incidence of postoperative lower limb lymphedema after lymphadenectomy for uterine cancers during the first three years after surgery: a single-blinded randomized controlled trial in multiple facilities
Authors: Sasaki Hiroshi , Tanabe Hiroshi , Ishikawa Hideki , Takano Hirokuni , Tanaka Naotake , Kodama Syoji , Akiyama Minoru , Yoshida Nobutaka , Takehara Kazuhiro , Yokochi Tomoki 
Published: September 2024

Abstract

Objective
Lower limb lymphedema (LLL) that occurs after lymphadenectomy for gynecologic malignancies significantly reduces the quality of life of the patients. Although it has long been considered that opening of the retroperitoneum reduces LLL, there have been no randomized studies to date aimed solely to determine whether opening of the retroperitoneum is more favorable than closing for preventing LLL.
Methods
The subjects were a total of 200 patients with either cervical or endometrial cancer who were enrolled for surgery in 11 institutes. Primary endpoint is the cumulative incidence of LLL during 3 years after surgery, compared between “surgery with no retroperitoneal closure (open)” and “surgery with retroperitoneal closure (closed)”. Secondary endpoint is the frequency of the appearance of lymphocysts.
Results
No significant difference in the incidence of postoperative LLL between the open and closed groups (24/98 and 25/95, respectively. P = 0.77) was observed. However, a higher risk of lymphocyst formation was detected during the initial postoperative period in the closed group (36/98 and 54/95, respectively. P = 0.005).
Conclusion
There was no significant difference in the incidence of postoperative LLL between the open and closed groups. However, to prevent the development of lymphocysts, the retroperitoneum should be open rather than closed at the time of surgery for uterine cancers that include retroperitoneal lymph node dissection. Since lymphocyst formation could be a known risk factor of LLL, the favorable outcomes in the incidence of postoperative LLL in the open group might be revealed with longer term investigation.
Climate-driven stock accounts of inland Green-Blue Ecosystems: Coupling the carbon and water cycles via Reverse Engineering and Geodetectors
Authors: Almeida Bruna , Monteiro Luís , Scemama Pierre , Cabral Pedro 
Published: September 2024

Abstract

The critical role of inland Green-Blue Ecosystems (GBE) in delivering goods and services underscores the need to understand their relationships. This research investigates the impact of climate variables on GBE stock accounts by estimating Tree Cover Density (TCD) and Water & Wetness Probability Index (WWPI). Using supervised machine learning and factor analysis, we measured GBE extent and condition. Key predictors for Blue Ecosystems were topographic variables, while vegetation indices were crucial for Green Ecosystems. In 2018, 33% of the inland area was covered by forests, freshwater, and wetlands. Key climate-driven factors for forests included precipitation (0.65), aridity index (0.54), and evapotranspiration (0.44). For freshwater and wetlands, precipitation (0.69), aridity index (0.55), and elevation (0.42) were significant. This research enhances our understanding of how climate impacts GBE, influencing biomass density and water availability. It bridges socio-environmental science with engineering by integrating advanced modelling techniques, promoting ecosystem resilience and sustainability.
Evaluating The Effect of Mental Health Curriculum on Secondary School Students' Mental Health Literacy, Knowledge and Attitude to Mental Illness: A Randomized Controlled Trial
Authors: Zeidabadi Batool , Khodayarian Mahsa , Sadeghi Reza , jambarsang Sara 
Published: September 2024

Abstract

Enhancing the mental health literacy of students stands out as a crucial factor in mitigating social harm within society. This randomized controlled trial assessed the effectiveness of a mental health literacy program called the "Mental Health and High School Curriculum Guide," which was introduced in the first secondary schools in the southeastern region of Iran in 2023. There were 40 teachers and 562 students from 20 schools involved in the study and randomly divided in two groups of intervention and control groups. The levels of mental health literacy, knowledge, and attitudes towards mental illness were measured using a questionnaire in two control and intervention groups, both before and after the mental health curriculum was implemented. The results of the study showed that the mental health literacy, mental health knowledge and attitude to mental illness/disorders of the students after the intervention were significantly higher in the intervention group than the control group (p < 0.001). Also, the results showed that after adjusting the influencing factors (gender, teacher, number of children in the family), mental health literacy (p < 0.001), mental health knowledge (p < 0.001), attitude to mental illness/disorders (p < 0.002) had a significant effect. The study revealed that students' mental health literacy, knowledge and attitudes were positively impacted by the classroom program.
Development the Low Cardiac Output Syndrome Risk Score for Children after Congenital Heart Surgery
Authors: Zhang Mingjie , Chen Xi , Xu Yahe , Chen Yijun , Zhang Zhiyue , Xu Zhuoming 
Published: September 2024

Abstract

Background
Low cardiac output syndrome(LCOS) is a common serious complication after pediatric congenital heart disease. This research aims to develop the risk score using clinical and laboratory indicators to predict LCOS.
Methods
118 children with congenital heart disease who underwent cardiopulmonary bypass surgery with pulse index continuous cardiac output(PICCO) monitoring after surgery in Shanghai Children's Medical Center from January 2023 to December 2023, and cytokines were collected before and after surgery. We divided the patients into development and validation datasets by calendar date. According to the cardiac index (CI) monitored by PICCO, the patients were divided into LCOS group (CI < 2L/min/m2) and non-LCOS group (CI ≥ 2L/min/m2). R software was used for data collation and analysis. Nomogram model were evaluated using ROC analysis.
Results
Patients in LCOS group have higher IL-5(p = 0.045), higher IL-8(p = 0.002), higher IL-10(p = 0.020), higher Sa-vO2(p = 0.004) and higher cTnI(p = 0.025) compared with those in non-LCOS group. IL-10(OR = 2.04,P = 0.012) and Sa-vO2(OR = 2.08,P = 0.001) were associated with the occurrence of LCOS, which were independent risk factors contained in the nomagram. Good agreement by nomogram could be detected in the calibration curve for the risk of LCOS. The optimal cutoff values for IL-10 for predicting LCOS was 8.7 (sensitivity: 53.1%, specificity: 69.8%) and Sa-vO2 was 34% (sensitivity: 65.6%, specificity: 73.3%), respectively. Combined IL-10 and Sa-vO2 to predict LCOS was 42.3 with the sensitivity 71.9% and specificity 64%.
Conclusions
Combined IL-10 and Sa-vO2 which reflect the state of oxygen supply and immune response could be a new index to predict LCOS after congenital heart surgery which were easily to be tested than other invasive tools.
An integrated analysis reveals the mechanism of yellow-green flower color formation in wintersweet (Chimonanthus praecox)
Authors: Cai Zijing , Fu Han , Xie Shuhan , Fu Qiang , Liu Xiuqun , Zhao Kaige 
Published: September 2024

Abstract

Wintersweet (Chimonanthus praecox) is a traditional Chinese ornamental plant that produces showy yellow flowers in winter. In addition to the common yellow-flowered variety group, there is a wintersweet group that produces unusual yellow-green tepals. Up to now, the mechanisms underlying the coloration of the yellow-green tepals are unknown. In this study, the results of chlorophyll content determination experiment showed that the chlorophyll content in wintersweet 'H37' (yellow-green variety) was significantly higher than that in 'H25' (yellow variety); the cellular ultrastructural observations suggested that the chloroplasts within 'H37' tepals cells could maintain their structure and function over a longer period during flower development. Moreover, the differentially expressed CpSGR1 gene and CpCHLD gene were screened by comparing the transcriptomes of 'H25' and 'H37'. Finally, the gene function verification experiments showed that, in chlorophyll metabolic pathway, CpSGR1 degraded chlorophyll, resulting in significant de-greening phenotypes, whereas CpCHLD could keep the leaves and flowers green. The findings provide new insights into the formation of the yellow-green tepal phenotype, as well as provide a research foundation for flower color breeding in wintersweet.
Integrating radiomics and real-world data to predict immune-checkpoint inhibitors efficacy in advanced Non-Small Cell Lung Cancer
Authors: Provenzano Leonardo , Favali Margherita , Mazzeo Laura , Spagnoletti Andrea , Calareso Giuseppina , Ruggirello Margherita , Greco Gabriella Francesca , Vigorito Raffaella , Lello Anna Di , Zec Aleksandra , Ferrarin Alberto , Giani Claudia , Silvestri Cecilia , Occhipinti Mario , Brambilla Marta , Leporati Rita , Manglaviti Sara , Cavalli Chiara , Mazzoli Giacomo , Miliziano Daniela , Liberti Giorgia Di , Bruno Moreno Marino , Sarah Frasca , Mauro Rosa Di , Abate Alice , Dumitrascu Diana Andra , Cassano Teresa Serra , Beninato Teresa , Proto Claudia , Ganzinelli Monica , Vingiani Andrea , Lorenzini Daniele , Sangaletti Sabina , Restelli Marcello , Trovò Francesco , Marchianò Alfonso , Garassino Marina Chiara , De Braud Filippo , Pedrocchi Alessandra Laura Giulia , Russo Giuseppe Lo , Miskovic Vanja , Prelaj Arsela 
Published: September 2024

Abstract

Background and purpose Immunotherapy (IO) revolutionized the prognosis of patients with Non-Small Cell Lung Cancer (NSCLC). However, identifying optimal candidates for this treatment remains challenging. Based on a previous study suggesting the potential predictive power of radiomics in predicting clinical outcomes in different clinical settings, we aimed to assess the capability of radiomics in predicting IO efficacy in advanced NSCLC patients treated with immunotherapy.Materials and Methods 375 advanced NSCLC patients treated with IO-based regimens from April 2013 to May 2022 were enrolled. Primary lung lesions were segmented and radiomics feature extracted. Using Clinical Benefit Rate (CBR) and survival status at 6 and 24 months (OS6 and OS24) as endpoints, ML classifiers were trained and then evaluated on a test set.Results Model achieving the highest prediction performance predicting long-term survival (OS24), reached an accuracy of 0.71 and AUC of 0.79 on test set with the combination of 20 radiomics features and real-world data (RWD). Combining radiomics with RWD features consistently allowed to outperform the standard predictive biomarker, PD-L1, for the majority of outcomes.Conclusions We identified a radiomics and RWD-based signature able to predict prognosis of NSCLC patients treated with IO therapy. If validated, this model could support oncologists in making prognostications.
Expanding the Criteria of the Novel Middle East Pain Syndrome to Include More Rheumatologic and Orthopedic Conditions, Type 2 Diabetes Mellitus, and Advanced Age - Understanding Musculoskeletal Pains among Palestinian Patients with Rheumatoid Arthritis
Authors: AlHabil Yazan , Koosa Nabil , Hameedi Seema , Amer Johnny , Salhab Ahmad , Abdalla Mazen A. , Jaber Mohammad M. 
Published: September 2024

Abstract

Methods
A retrospective study was conducted at three Palestinian healthcare centers between February and December 2023. Targeting RA patients of both sexes and all ages, the clinical characteristics of 397 patients were categorized using a stratified sampling technique. Data were retrieved from each center’s respective archive modalities. An adjusted multiple logistic regression model was utilized to test the association between 1,25(OH)2VD3 and Parathyroid levels with musculoskeletal pain severity. A p-value less than 0.05 was considered statistically significant. The Kolmogorov-Smirnov test was utilized to test the normality of continuous variable distribution.
Results
Many patients fulfill criteria for other conditions, with slow disease progression noted, despite correct RA diagnosis. Pain severity correlated with deficient 1,25(OH)2VD3 (1.745 OR, P-value:0.05) and high PTH levels (PTH: 1.579 OR, P-value:0.027). Commonly reported pains include lower back, knees, cervical, and upper back areas. Muscular stiffness and bone tenderness are prevalent, with 41.03% reporting severe pain. Increased age correlates with severe pain (OR:1.53, P-value:0.015). Likewise, Type 2 Diabetes mellitus shows a significant positive association (OR:0.741, P-value:0.017). Despite the lack of significant associations, the high prevalence of smoking (47.1%) and hypertension (58.9%) requires intervention. Radiological reporting is unclear in 63.22% of cases, with 'bone spurs' commonly utilized. Additionally, 93.9% have low ionized calcium levels. Other lab results mostly fall within normal ranges, emphasizing the complexity of diagnosis and suggesting the importance of thorough radiological investigations and laboratory assays.
Conclusions
We recommend expanding MEPS criteria to include other conditions, highlighting the significant associations between 1,25(OH)2VD3 deficiency, HPT, advanced age, and Type 2 Diabetes mellitus with musculoskeletal pains in diagnosed RA cases.
Establishment of a novel experimental animal model for the treatment of tibial segmental bone defects in Small Tailed Han Sheep using bone replacement grafts
Authors: Sun Sheng , Zhang Hanwen , Wang Qiang , Zhu Danjiang , Wen Yuwei 
Published: September 2024

Abstract

Objective
Segmental long bone defects present a significant clinical challenge as critical-size defects cannot heal spontaneously. Most studies focus on adult bone defects, with limited research on pediatric cases. To enhance the study of bone defects in children, we established a juvenile sheep bone defect model.
Methods
Juvenile Small-Tailed Han sheep were used to create a 2 cm tibial bone defect, stabilized with a plate and screws. Tissue-engineered bone scaffolds were implanted at the defect site, and the limb was immobilized with a plaster cast for 3 months. Sheep were euthanized at 3 and 6 months post-surgery, and tibiae were examined using X-ray, microCT, and histological staining.
Data description
Tibial defect models were established in 7 sheep, with 2 euthanized at 3 months and 5 at 6 months. X-ray revealed cortical bridging. MicroCT and histological staining showed new bone distribution, with the 6-month group demonstrating increased bone formation and bridging at the scaffold center. There was no significant difference in longitudinal growth rates between the operated and contralateral tibiae.
Conclusions
We developed a reproducible model for juvenile tibial segmental defects in sheep, providing a robust basis for studying pediatric long bone segmental defects.
Levels of Evidence: Ⅲ
Function of P53 and mammalian target of rapamycin in TGF-β1-induced pterygium fibroblast proliferation and transdifferentiation
Authors: Hua yun , Zhao Xinrong , Tang na , Lian haidong , Si chao , Yuan ting , Chen dongmei , Liu jialin 
Published: September 2024

Abstract

PURPOSE
Proliferation and degeneration of ocular fibroblasts are major obstacles to pterygium treatment, which involves a variety of important proteins and signaling pathways; however, the underlying mechanisms are largely unknown. The aim of this study was to investigate the role and potential mechanisms of P53 and mammalian target of rapamycin (mTOR) in transforming growth factor beta 1 (TGF-β1)-induced proliferation and transdifferentiation of pterygium fibroblasts (HPFs).
METHODS
The proliferation and transdifferentiation indexes of HPFs cultured in vitro and normal conjunctival fibroblasts (HCFs) were compared, and their differences in TGF-β1, P53, and mTOR expression were determined. Further, HPFs were induced with TGF-β1 in vitro and treated with combined knockdown of P53, P53 activator Nutlin-3, or mTOR inhibitor rapamycin to observe cell proliferation, migration, and transdifferentiation.
RESULTS
TGF-β1, P53, mTOR, proliferating cell nuclear antigen (PCNA), and alpha smooth muscle actin (α-SMA) were up-regulated in the expression of HPFs. TGF-β1 treatment induced the proliferation and transdifferentiation of HPFs. TGF-β1 combined with rapamycin treatment substantially inhibited the proliferation and transdifferentiation process of HPFs induced by TGF-β1. TGF-β1 combined with the knockdown of P53 treatment showed that the proliferative ability of HPFs was enhanced, whereas the expression of α-SMA was weakened; in the TGF-β1 combined with Nutlin-3 treatment, the proliferation ability of HPFs was weakened, whereas the expression of α-SMA was enhanced. In TGF-β1-induced HPFs, knockdown or activation of P53 affected the expression of AMP-activated protein kinase (AMPK), phosphorylated AMPK (p-AMPK), mTOR, and phosphorylated mTor (p-mTOR); therefore, the P53/AMPK/mTOR route may be partially involved in the proliferation and transdifferentiation process of TGF-β1-induced HPFs.
CONCLUSIONS
There may be some kind of crosstalk between P53 and mTOR in the proliferation and transdifferentiation of TGF-β1-induced HPFs, and the P53/AMPK/mTOR route may be partially involved in the proliferation and transdifferentiation of TGF-β1-induced HPFs.
Applicability of Geospatial tools for long-term sediment deposit analysis including its methods of reclamations. A case study of Ganga River Basin, India.
Authors: KUMAR NEERAJ , Lal Deepak , Suryavanshi Shakti , Sheering Arpan , Rawat Vivekanand , Anand Akash , Ahmad Ajaz , Kumar Mukesh 
Published: September 2024

Abstract

The River Ganga and its tributaries are important water resources for North India. It has its own ecosystem and also creates a unique biodiversity around its vicinity. In the past few decades, it has been found that the huge sediment deposits in the River Ganga basin and its tributaries. The flow area of these rivers is reduced and during the flooding, it inundates the large agriculture and urban areas. It caused a huge economic loss along with human death & displacement. A study was conducted to estimate the sedimentation rate in the flow areas of these river systems. Various scientific methods such as surface water modelling, and satellite imagery interpretation techniques have been used. The result obtained by the study indicates the continuous rise in sediment deposition occurring after the year ninety seventy-five and more than thirty percent of natural channels are under threat. The flow of the rivers is highly affected due to human intervention, especially in the downstream part of the river Ganga basin. Ignoring these activities may create a huge environmental, and socio-economical tragedy for those living in these areas. The method developed and the findings, of the study, are highly useful for estimating long-term river sediment assessment and policy development studies.
A study of Moodle course based on curriculum development subject on B.Ed. students
Authors: kamal yogita 
Published: September 2024

Abstract

The present paper was based on the Moodle course developed on selected concepts of curriculum development subject of B.Ed. syllabus. The objective of the study was to compare adjusted mean scores of achievement in Curriculum Development of the control group and experimental group by taking pre-achievement as a covariate. Initially One way ANCOVA statistics was used, but after violation of assumptions Johnson-Neyman method was applied for the further analysis. The researcher found that there was significant difference in the score of experimental group and control group. Further by analyzing the sign of coefficient, it can be interpreted that post scores of experimental group were found to be significantly higher than the post scores of control group. So, it was concluded that the Moodle course was found to be effective for B.Ed. students.