bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementasi nilai Pancasila sila persatuan Indonesia masa pembelajaran daring peserta didik kelas V sekolah dasar
Authors: Eka Saputri Chorin Luthfa , Mahfud Hasan , Matsuri Matsuri
Published: August 2024

This research aims to determine the implementation of the Pancasila values of Indonesian Unity in the Online Learning Period of fifth grade elementary school students.This research method uses qualitative research. The primary data from this research are the results of interviews with students who are the subject, the parents of students who are the subject and the fifth grade teacher of SD Negeri 2 Wonogondo. While secondary data is in the form of photo documentation during research and online learning observations. Data collection techniques used are observation, interviews and documentation. Test the validity of the data using triangulation techniques and sources. The data analysis technique used is the Miles and Huberman technique.The results of this study indicate that the implementation of the Pancasila values of the Indonesian Unity precepts at SD Negeri 2 Wonogondo is in the good category, but there are still 33% of students who only meet two of the four descriptors on the togetherness indicator. The indicators of love for the homeland and nation and respect for differences are in the good category, but the indicators of togetherness are in the medium category
Kesulitan konsep materi keanekaragaman suku bangsa dan budaya pada pembelajaran daring peserta didik kelas IV sekolah dasar
Authors: Sari Awanda Anindita , Istiyati Siti , Kamsiyati Siti
Published: August 2024

The aims of this study is to describe the form of difficulty in internalizing concept of cultural ethnic diversity and technical difficulties in implementing the online learning process experienced by fourth grade elementary school students. This research is a qualitative research (case study approach). The subjects of this study were students, teachers, and parents. Data was collected by means of interviews, questionnaires, and document studies. The validity test technique used is triangulation of sources and techniques. Analysis of the data using the analysis model of Miles and Huberman. The results of this study are as follows. First, the form of difficulty in internalizing the concept is the identification of forms of local cultural diversity and providing examples of respect for this diversity caused by eye disorders, lack of interest and motivation, lack of parental attention, home atmosphere is not conducive, the implementation of learning is not in accordance with the lesson plan, and the ability of teachers to diagnose children's learning difficulties is low. Second, technical difficulties in the implementation of online learning are inadequate learning tools and internet quota, low tech ability, teachers don’t use learning models, and teachers use inappropriate learning methods that don’t facilitate online student activity.
Analisis kesalahan struktur kalimat dasar pada keterampilan menulis teks wawancara peserta didik kelas iv sekolah dasar
Authors: Puspawati Yunita Dwi , Slamet Slamet , Surya Anesa
Published: August 2024

This research aims to describe basic sentence structure errors and describe the factors that cause basic sentence structure errors in writing interview text skills. This research is a descriptive qualitative research. The research subjects were fourth grade students, fourth grade teachers, and the principal of SD Negeri Tegalsari. Data collection techniques used interviews, documentation studies, and observation. The data validity test technique uses source triangulation and technical triangulation. The data analysis technique uses an interactive analysis of the Miles and Huberman model which includes four stages: (1) data collection, (2) data reduction, (3) data presentation, and (4) drawing conclusions. The results showed that the analysis of basic sentence structure errors on the subject indicator (19.23%), predicate indicator (13.46%), object indicator (8.65%), description indicator (45.2%), and complementary indicators (13.46%). Based on the results of the study, it can be concluded that the analysis of basic sentence structure errors in the description indicator is the indicator that most errors occur in the use of sentences. The theoretical implications can be used as a reference for further research. The practical implications can help educators understand how students understand basic sentence structures and to improve future learning.  
Pengaruh model pembelajaran concept sentence dan minat belajar terhadap keterampilan menulis narasi pada peserta didik kelas v sekolah dasar
Authors: Mulyani Dewi , Slamet St Y , Suharno Suharno
Published: August 2024

The research aims to know the students skill of the narrative writing. The population of this study were all fifth grade students of Elementary School in Gondangrejo District in the 2018/2019 academic year with cluster random sampling technique. This study uses an experimental method with a 2x2 factorial design. Data collection was carried out using a test technique for data on narrative writing skills and non-test techniques for data on student interest in learning. Questionnaire is used on the variable of interest in learning. The data analysis technique used two-way Anava test with unequal cell frequencies. The results show that the narrative writing skills of students who are taught the Concept Sentence learning model are better than students who are taught the Cooperative Integrated Reading and Composition (CIRC) learning model (FA = 10,77 ˃ F(0,05;1;44) = 4,06), high learning interest has a better effect on narrative writing skills than low learning interest (FB = 32,58 ˃ F(0,05;1;44) = 4,06); and there is no interaction effect between learning model and interest in learning on narrative writing skills (FAB = 1,82 ˃ F(0,05;1;44) = 4,06). 
Complete feed of corn silage and its effect on male Bali cattle performance, feed consumption, and beef quality
Authors: Hasan Syamsuddin , Mujnisa A. , Rinduwati Rinduwati , Sema Sema , Kamaluddin Apiaty , Syamsuddin Fatmawati Annisa , Khaerani Purnama Isti
Published: September 2024

Objective: This study aims to observe the effect of feeding corn silage combined with elephant grass and cheap concentrate feed on male Bali cattle performance, feed consumption, and beef quality.

Methods: Animal feed testing was performed in male Bali cattle weighing 150-200 kg for 90 days, and the cattle were slaughtered in a slaughterhouse to observe the beef quality. This study employed a completely randomized design with 4 treatments and 3 replicates. Research treatment: The proportion of 30% corn silage + 60% elephant grass + 10% concentrate feed as A1; 50% corn silage + 40% elephant grass + 10% concentrate feed as A2; 70% corn silage + 20% elephant grass + 10% concentrate feed as A3; 100% corn silage as A4. The observed parameters in include average daily gain, dry matter consumption, organic matter consumption, crude protein consumption, total digestible nutrients, tenderness, beef color, water-holding capacity, cooking loss, and aroma.

Results: The results showed that the treatments significantly affect the consumption of dry matter with the highest A4 is 2.44% of body weight, organic matter with the highest A3 is 8.43 kg/head/day, crude protein with the highest A3 is 0.82 kg/head/day, and total digestible nutrients with the highest A3 is 4.88 kg/head/day. There is a significant difference in daily average weight gain (ADG) from the three treatments (P<0.05).

Conclusions: It can be concluded that A3 treatment, supplemented with 70% corn silage concentration, 20% elephant grass, and 10% concentrate feed is more effective in improving male Bali cattle performance, feed, consumption, and beef quality.
Production Enhancement Workflow Unlocks the Potential of Tight Carbonate Middle Marrat Reservoir, South Kuwait
Authors: Salem A. , Peiwu L. , Ayyad H. , Shamsaldeen M. , AlDalal A. , Mudhfer K. , Jimenez C. , France B.
Published: September 2024

Production enhancement from tight carbonate reservoirs is essential to reach Kuwait's oil production target by 2030. This paper will demonstrate an integrated workflow that includes advanced reservoir characterization to optimize the stimulation design with enhanced zonal coverage in a heterogenous Jurassic reservoir, Middle Marrat of South Kuwait.

It is crucial to accurately select the candidates based on precise determination of the reservoir permeability contrast across the different layers. Representative fluid samples have been captured to map the asphaltene envelope. The injection logging survey was a key input

to determine the permeability profile and to evaluate the integrity of the patchy cement through temperature analysis. Pressure Transient Analysis (PTA) were essential to evaluate the significance of the depletion across the different areas of the field as well as to determine the total skin of the reservoir. The integration of these data in a structured workflow enhanced the stimulation design.

Based on the significant permeability contrast, Single-Phase Retarded Acid System (SPRAS) and Degradable Diverter System (DDS) were found to be essential to unlock the tighter layers. Five wells were stimulated utilizing the above workflow resulting in 7 folds of increase in the oil production versus 4 folds of increase before implementing this workflow. Another important observation is the sustainability of these wells for over 1 year with less frequency in asphaltene clean-out treatments. It can be observed that meticulous characterization, planning and execution for tight carbonate reservoirs is critical for a sustained production enhancement. This reservoir oil production has increased by 150% from existing wells with rigless intervention.

This paper demonstrates the economical development of deep tight carbonate reservoirs through fit-for-purpose workflows. The findings were utilized to update the full field development strategy.
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

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

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

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

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

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

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

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

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

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

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

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

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.
Bioinformatics analysis of predictive value of EZH2 in early breast cancer
Authors: Mao Enwen , Sun Lei
Published: September 2024

Background
The breast cancer is still considered the second leading cause of cancer death in women, although in high-risk individuals through breast ultrasound, mammography and breast magnetic resonance tomography (such as the MRT) imaging screening in the early diagnosis of cancer, but still urgently needed for the diagnosis and treatment of early breast cancer, especially breast cancer to discover new biomarkers.
Methods
The gene chip data were retrieved from GEO database to screen the differentially expressed genes (DEG) in breast cancer.The expression of DEG was verified and the prognostic value was evaluated using GEPIA databases.The protein-protein interaction (PPI) network was plotted with STRING, and Cytoscape was used for cell map visualization. Timer database was used to analyze the correlation between DEGs and immune infiltration level in breast cancer, and Kaplan-Meier plotter was used to analyze the overall survival of the screened target gene in breast cancer patients.
Results
The functions of target genes were mainly in cell division, cell proliferation and signal transduction. These highly expressed genes are associated with poor prognosis in breast cancer patients, among which we found that EZH2 is of great significance for the diagnosis and prognosis of early breast cancer. The enrichment analysis of its functions and pathways includes PI3K-AKT signaling pathway, MAPK signaling pathway, protein binding, cell cycle, etc.EZH2 was positively correlated with immune infiltration cells in patients with breast cancer.
Conclusion
EZH2 in breast cancer may be a useful target for diagnosis and treatment of early breast cancer.
Comparison of different iterative reconstruction algorithms with contrast-enhancement boost technique on the image quality of CT pulmonary angiography for obese patients
Authors: Ye Mei , Wang Li , Xing Yan , Li Yuxiang , Zhao Zicheng , Xu Min , Liu Wenya
Published: September 2024

Objective
To evaluate the effect of contrast-enhancement-boost (CE-boost) postprocessing technique on improving the image quality of obese patients in computed tomography pulmonary angiography (CTPA) compared to hybrid iterative reconstruction (HIR) and model-based iterative reconstruction (MBIR) algorithms.
Methods
This prospective study was conducted on 100 patients who underwent CTPA for suspected pulmonary embolism. Non-obese patients with a body mass index (BMI) under 25 were designated as group 1, while obese patients (group 2) had a BMI exceeding 25. The CE-boost images were generated by subtracting non-contrast HIR images from contrast-enhanced HIR images to further improve the visibility of pulmonary arteries. The CT value, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were quantitatively assessed. Two chest radiologists independently reviewed the CT images (5, best; 1, worst) across three subjective characteristics including diagnostic confidence, subjective image noise, and vascular contrast.
Results
CE-boost had significantly higher CT values than HIR and MBIR in both groups (all p < 0.001). MBIR yielded the lowest image noise compared with HIR and CE-boost (all p < 0.001). The SNR and CNR of the MPA were significantly higher in CE-boost than that in MBIR (all p < 0.05), with HIR showing the lowest values (all p < 0.001). Group 2 MBIR received significantly better subjective image noise scores, while the diagnostic confidence and vascular contrast scored highest with the group 2 CE-boost (all p < 0.05).
Conclusion
Compared to the HIR algorithm, both CE-boost technique and MBIR algorithm can improve the image quality of CTPA in obese patients. CE-boost had the greatest potential in increasing the visualization of pulmonary artery and its branches.
A Finger on the Pulse of Cardiovascular Health: Estimating Blood Pressure with Smartphone Photoplethysmography-Based Pulse Waveform Analysis
Authors: Liu Ivan , Liu Fangyuan , Zhong Qi , Ni Shiguang
Published: September 2024

Utilizing mobile phone cameras for continuous blood pressure (BP) monitoring presents a cost-effective and accessible approach, yet it is challenged by limitations in accuracy and interpretability. This study introduces four innovative strategies to enhance smartphone-based photoplethysmography for BP estimation (SPW-BP), addressing the interpretability-accuracy dilemma. First, we employ often-neglected data-quality improvement techniques, such as height normalization, corrupt data removal, and boundary signal reconstruction. Second, we conduct a comprehensive analysis of thirty waveform indicators across three categories to identify the most predictive features. Third, we use SHapley Additive exPlanations (SHAP) analysis to ensure the transparency and explainability of machine learning outcomes. Fourth, we utilize Bland-Altman analysis alongside AAMI and BHS standards for comparative evaluation. Data from 127 participants demonstrated a significant correlation between smartphone-captured waveform features and those from standard BP monitoring devices. Employing multiple linear regression within a cross-validation framework, waveform variables predicted systolic blood pressure (SBP) with a mean absolute error (MAE) of 9.86 ± 6.78 mmHg and diastolic blood pressure (DBP) with an MAE of 8.01 ± 5.15 mmHg. Further application of Random Forest models significantly improved the prediction MAE for SBP to 8.91 ± 6.30 mmHg and for DBP to 6.68 ± 4.54 mmHg, indicating enhanced predictive accuracy. Correlation and SHAP analysis identified key features for improving BP estimation. However, Bland-Altman analysis revealed systematic biases, and MAE analysis showed that the results did not meet AAMI and BHS accuracy standards. Our findings highlight the potential of SPW-BP, yet suggest that smartphone PPG technology is not yet a viable alternative to traditional medical devices for BP measurement.
Relationships between Empathy, Executive Functions, and Internalizing and Externalizing Symptoms in Early Adolescents
Authors: Yetim Onat , Çakır Resul , Tamam Lut
Published: September 2024

Background
Previous studies have shown associations between internalizing and externalizing symptoms, executive functions, and empathy. However, the mechanisms that affect this relationship remain unclear. This study employed regression analysis to explore the predictive effect of internalizing and externalizing symptoms and executive functions on empathy.
Method
Our study consisted of three consecutive stages. In the first stage, we assessed 2150 adolescents’ parents of 2150 adolescents aged 10–12 years using the Strengths and Difficulties Questionnaire to determine which participants should be included in the subsequent stages. In the second stage, we conducted a pilot study with 50 participants to assess the validity of the assessment system and the six film scenes to be used in the following stage. Finally, in the third stage, we obtained the participants' state empathy, trait empathy, and executive functioning.
Results
The regression analysis showed that working memory performance (β = 0.261) and externalizing symptoms (β = -0.157) predicted cognitive empathy, but only externalizing symptoms predicted affective empathy (β = -0.193).
Conclusion
This study highlights the effect of externalization on both cognitive and affective empathy and the effect of working memory on cognitive empathy. These findings may serve to inform psychological interventions to improve empathic abilities in early adolescence.
The involvement of 5-HT was necessary for EA-mediated improvement of post-stroke depression
Authors: Yao Lulu , Deng Bing , Di Wenhui , Long Haoxi , He Qian , Jiang Zhiyuan , Nan Taiyu , Gu Jun , Huang Keni , Li Hongtao , Xu Nenggui
Published: September 2024

The prevalence of depression is as high as about 30% within five years after stroke, while there is still no breakthrough of the Western medical treatments for post-stroke depression (PSD) in clinical practice. The traditional acupuncture treatment is practiced to be effective for the therapy of PSD, but its mechanism still needs to be elucidated. With a combination of methods, including behavioral testing, in vivo electrophysiological recording, mRNA sequencing, immunofluorescence, in vivo fiber recording, and genetic modulation, this study showed that electroacupuncture (EA) at Baihui (GV20) and Shenting (GV24) acupoints improved the depressive-like behaviors and neuronal electrophysiological activities in PSD model mice, which was established by bilateral injection of collagenase IV into the medial prefrontal cortex (mPFC). Moreover, it was found that the EA-mediated improvement was comparable to that of fluoxetine. The mRNA sequence analysis indicated that the 5-hydroxytryptamine (5-HT) system was involved in the pathogenesis of PSD. Meanwhile, the number of 5-HT positive neurons in the dorsal raphe nucleus (DRN) and 5-HT transmitter in the mPFC was significantly decreased, and ablation of neurons in the DRN could prevent the efficacy of EA. Together, our results have provided the insight of the biological mechanism underlying acupuncture in the treatment of PSD and revealed the scientific connotation of acupuncture in both clinical and scientific value.
Investigating the Impact of Land Transfer on Household Livelihood Vulnerability: An Empirical Study across Five Provinces in China
Authors: Liu Bo , LI LIANJUN , LIAO Cairong
Published: September 2024

In the context of global agricultural transformation and rural development, land transfer, as an essential means to optimize land resource allocation, has received increasing attention regarding its influence on the vulnerability of rural households' livelihoods. Based on the questionnaire survey data of 1848 farmers from five provinces in China, this paper uses the AHP entropy weighting method to conduct empirical analysis by constructing an analytical framework that integrates the Sustainable Livelihood framework and the Risk Exposure-Sensitivity and Adaptive Capacity framework to conduct an in-depth analysis of the impact of land transfer on farmers in China. It also examines the impact of land transfer on the livelihood vulnerability of different households and suggests strategies to mitigate vulnerability. The results show that land transfer significantly affects rural households' livelihood vulnerability while increasing agricultural production efficiency. It has the most significant impact on the livelihood vulnerability of purely agricultural households and the most negligible impact on non-agricultural households. Different types of households face different risks and sensitivities, but pure agricultural households have the most significant adaptive capacity and resilience. A higher share of agricultural income corresponds to a greater vulnerability of the household's livelihood. On this basis, the following policy recommendations are made: Constructing and perfecting the land circulation mechanism is imperative to ensure farmers' rights and optimize resource allocation. Furthermore, strengthening the land circulation information service system is crucial for enhancing farmers' awareness and facilitating policy implementation. Promoting income diversification and agricultural skill upgrading for farmers is essential to enhance the resilience of rural households' livelihoods. Addressing farmers' psychological changes in land circulation by establishing support systems is vital to coping with uncertainty and risk.
Effects of CPAP treatment on arterial stiffness and inflammatory factors in patients with coronary heart disease complicated with OSA
Authors: Wang Liang , Wang Yuanqi , Jiao Tiantian , Xu Linghao , Ji Endong , Tapu Sakibur Rahman , Liu Yehong , Li Jiming
Published: September 2024

Background Continuous Positive Airway Pressure (CPAP) treatment brings more benefits than risks to most coronary heart disease (CHD) patients with obstructive sleep apnea (OSA). However, the pathophysiological mechanism by which CPAP treatment improves the prognosis of patients with CHD and OSA remains unclear. The purpose of this study was to clarify whether CPAP can improve arterial stiffness and inflammatory factor levels in CHD patients with OSA, and to further improve prognosis.
Method 59 patients with coronary heart disease complicated by moderate to severe sleep apnea were divided into a CPAP treatment group (CPAP+coronary heart disease standard treatment) and a control group (only coronary heart disease standard treatment). Peripheral blood test reports were collected and pulse wave velocity (PWV) measurements were performed for each patient at the beginning, 3 months, and 6 months of treatment.
Results After 6 months of treatment, the CPAP group showed more significant improvement in the levels of inflammatory factors such as WBC, N, CRP, IL-6, PCT, and PWV than the control group.
Conclusion After active treatment with CPAP, arterial stiffness and inflammatory cytokine levels in patients with coronary heart disease and OSA improved. This association should be given more attention in clinical practice, and sleep apnea should be actively treated. The early initiation of CPAP treatment can improve patient prognosis.
Medium-term outcomes of High-Intensity Focused Ultrasound (HIFU) focal treatment for primary localized prostate cancer: Single-center study
Authors: Deleuze Claire , Suartz Caio Vinícius , Rozet François , Rodriguez-Sanchez Lara , Lanz Camille , Macek Petr , Mombet Annick , Cathala Nathalie , Cathelineau Xavier , Barret Eric
Published: September 2024

Background
Focal therapy maintains local control of prostate cancer (PCa) while preserving part of the healthy prostate parenchyma in order to limit the functional impact. This study has evaluated the medium-term oncological and functional outcomes of primary focal HIFU therapy in patients with localized prostate cancer.
Methods
From 2009 to 2019, 256 patients with low- or intermediate-risk PCa (unilateral positive biopsy ISUP grade 1 to 3, ≤cT2b and PSA ≤15ng/ml) were included. Follow-up with regular and MRI was performed. All patients had systematic follow-up biopsies at 1 year and in case of suspected recurrence. Failure was defined by any positive biopsy in the treated area. Univariate and multivariate analyses were performed to identify failure-predictive factors. Urinary continence and erectile function were analyzed.
Results
The median age was 68.1 years (IQR: 62.3-72.2), and the median follow-up was 5.2 years (IQR: 3.0-7.1). 118 (46.1%) patients were considered in HIFU failure because of positive control biopsy in a treated area, and 66 had clinically significant cancer. 138 patients (53.9%) had local control of PCa after primary HIFU (95 had negative biopsies, and 43 had positive biopsies in non-treated areas).
Failure-free survival at 2 and 4 years were 67.3% (95% CI 57.5-76.1) and 53.8% (95% CI 44.8-63.3). No death from PCa was reported. PSA density (PSA-D) (OR: 0.55, 95% CI 0.31-0.97) was found to be an independent predictive factor of focal HIFU failure (p=0.041). The rates of erectile dysfunction and urinary incontinence were 7% and 1.6%.
Conclusion
Focal HIFU treatment provides satisfactory medium-term disease control in more than half of the patients with limited morbidity. Preoperative PSA density was significantly associated with failure. in the future, patient selection will have to take into account additional parameters if we want to further improve treatment results.
Patient summary: We analyzed the medium-term oncological and functional outcomes of primary focal HIFU therapy in patients with localized prostate cancer. The treatment provides a mid-term disease control in more than half of the patients with limited morbidity. More rigorous patient selection, including PSA density, should lead to improved oncologic outcomes of focal HIFU.