bluuebunny/crossref_metadata_2025_split huggingface dataset:
Status, Growth and Variability of Chickpea Production in India
Authors: Kumari Neelam , Malik Dharmpal 
Published: December 2024

Background: Chickpea is the largest produced food legume in South Asia and the third largest produced food legume globally. It has been well recognized as a valuable source of protein in India where majority of the population is vegetarian. In spite of biggest producer of pulses in Asian Continent, India additionally imports a large quantity of pulses per year to satisfy the growing domestic demand. The current study aimed to study the growth in production and its possible causes to narrow down wide gap between demand and supply of pulses in India. Methods: The investigation was relied mainly on the secondary data i.e. time series data on area, production and productivity of chickpea in major states and at all India level. The chickpea growing states were selected contributing at least 80 percent of share with respect to area during 2020-21. The paper examined time series data pertaining to the period 1970-71 to 2020-21. The analytical tools like compound growth rate and Cuddy-Della Valle Index were used. Result: In all the major chickpea producing states area, production and productivity exhibited positive growth rate. But the main reason for increase in chickpea production was expansion in area as compared to productivity in recent years due to highest increase in MSP in recent years. At all India level, all the particulars exhibited positive growth. In Madhya Pradesh productivity of chickpea had shown higher instability than area while all the other states and India as a whole exhibited higher instability in area.
COMPARATIVE ANALYSIS OF THE SHAPE CHANGE WHEN A PRODUCT IS PRODUCED BY FREE-FORM BENDING
Authors: Chukhlib Vitalii , Volk Wolfram , Lechner Philipp , Lorenzo Scandola , Hubskyi Serhii , Biba Mykola , Schukraft Joél 
Published: December 2024

The paper presents a comparative analysis of the shape change of a rod when it is deformed in a moving die using the Abaqus and Qform software packages. The approaches to determining the shape of a profile formed by a moving die are analyzed. Methods for analyzing the shape change when a product is obtained by free-form bending, based on predicting the volumetric unevenness of metal deformation in the processes of pressure treatment and determining the product curvature, are considered. For the process of modeling the bending of a product in a moving die, a rod was selected, as well as an algorithm for moving the moving die and feeding the rod. As a result of the simulation, it was found that the resulting product models in these software systems are identical in geometry. Based on the methods of analyzing the shape change when a product is obtained by free-form bending, we analyzed the uneven distribution of deformation parameters and determined the curvature of the workpiece during deformation. It was found that a significant deformation irregularity is observed in the workpiece, which is caused by the chosen scheme of deformation. Proposed approaches for further research.
Developing Linkages Between PROMIS Physical Function CAT and QuickDASH Scores in Hand Surgery
Authors: Daryoush Joshua R. , Rogers Miranda J. , Zhang Chong , Quesada Mario J. , Cizik Amy M. , Presson Angela P. , Kazmers Nikolas H. 
Published: December 2024

Background:
There is no standardization within hand and upper-extremity surgery regarding which patient-reported outcome measures (PROMs) are collected and reported. This limits the ability to compare or combine cohorts that utilize different PROMs. The aim of this study was to develop a linkage model for the QuickDASH (shortened version of the Disabilities of the Arm, Shoulder and Hand) and PROMIS PF CAT (Patient-Reported Outcomes Measurement Information System Physical Function computerized adaptive testing) instruments to allow interconversion between these PROMs in a hand surgery population.

Methods:
A retrospective review was conducted to identify adults (≥18 years old) who had completed the QuickDASH and PROMIS PF CAT instruments at the same clinical encounter. Patients with shoulder pathology were excluded. The linear relationship between scores was evaluated with use of the Pearson correlation coefficient. Linking was performed with use of several common methods, and an optimal linkage model was recommended on the basis of a higher R2, strong intraclass correlation coefficient (ICC), and lower standard error (SE). The recommended model was further evaluated in subgroups based on age (<60 or ≥60 years), sex, etiology for presentation (traumatic versus atraumatic), and treatment type (operative versus nonoperative).

Results:
A total of 15,019 patients (mean age, 49 years; 54% female; 86% White) were included. The mean QuickDASH score (and standard deviation) was 37 ± 22, and the mean PROMIS PF CAT score was 45 ± 10. There was a strong negative linear relationship between the QuickDASH and PROMIS PF CAT (r = −0.73). The circle-arc linkage model demonstrated good accuracy and reliability (R2 = 0.55; ICC = 0.71), and crosswalk tables were developed from this model. The subgroup analysis demonstrated age-related bias in the linkage model (root expected mean squared difference, 0.12). To address this, a separate crosswalk table was developed, which was dichotomized by age category.

Conclusions:
The QuickDASH and PROMIS PF CAT scores were successfully linked. Utilization of the developed crosswalks—one specific to patients <60 years old and another specific to patients ≥60 years old—will allow for score interconversion in future meta-analyses and multicenter hand surgery studies.

Level of Evidence:
Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
Optimizing Batch Scheduling of Multiproduct Pipelines Using a Smooth Modeling Approach
Authors: Lin Jianyang , Liu Gang , Chen Lei , He Yuyu , You Ziyan 
Published: December 2024

Summary
The main method of delivering oil products is by the sequential operation of pipelines. Scheduling oil batches efficiently, considering intricate constraints, is typically a challenging problem that is not readily solvable. The present work developed a systematic approach for the optimization of batch scheduling. The model utilized a continuous-time representation with the objective of minimizing the total costs related to energy and oil mixing loss. The analysis included multiple constraints, including time frame, oil download, flow rate, and fluctuations in pressure caused by friction at various batch interface locations. By applying the penalty function approach, the original model was transformed into an unconstrained model. Smoothing was applied to the noncontinuous variables using the Dirac delta function and the maximum entropy function. A novel nonlinear programming (NLP) model was successfully devised to enhance the efficiency of oil product scheduling. A successive function approximation algorithm was used to solve the model, and the decision variables were modified to decrease the number of model decision variables and enhance the system’s capacity to surpass the local optimum. Subsequently, the model was calculated to address a practical multiproduct pipeline scheduling problem. The model presented in this study identified 74 decision variables, which account for around 1% of the typical mixed integer linear programming (MILP) model. The method presented in this work has the capability to accurately obtain an enhanced solution, making it useful for real applications.
Exploring Variations in Orientation and Velocity of Hydraulic Fracture Propagation in Denver-Julesburg Basin
Authors: Ning Yanrui , Jin Ge , Tura Ali , Gale Melinda 
Published: December 2024

Summary
This research explores the variations in hydraulic fracture (HF) propagation orientation and velocity within a zipper-fractured area of the Denver-Julesburg (DJ) Basin. By using a comprehensive analytical approach that integrates crosswell low-frequency distributed acoustic sensing (LF-DAS) strain signals, 3D seismic images, borehole image logs, gamma ray (GR) logs, and zipper-fracturing completion sequences, the study examines the dynamic responses of HF propagation under various geological and stimulation conditions. A detailed field case study was conducted across seven horizontal wells, with the entire hydraulic fracturing process monitored through fiber optics installed in two offset horizontal wells. Results from this study reveal significant variations in HF propagation behavior, likely due to pre-existing natural fractures, stress anisotropy, completion sequence, and fault impacts. These findings contribute to a better understanding of fracture mechanics in unconventional reservoirs, thereby informing more effective hydraulic fracturing strategies. This work ultimately provides crucial insights that can guide future optimization of hydraulic fracturing techniques in complex geological settings within and beyond the DJ Basin.
Alterations in static and dynamic functional network connectivity in subcortical vascular cognitive impairment
Authors: Mao Haixia , Shi Yachen , Gao Qianqian , Xu Min , Hu Xiaoyun , Wang Feng , Fang Xiangming 
Published: December 2024

Abstract

The current study integrated static (sFNC) and dynamic (dFNC) functional network connectivity to investigate the neurobiological mechanisms underlying alterations in static and dynamic functional network connectivity in subcortical vascular cognitive impairment (SVCI). We recruited 80 patients with SVCI (39 males, 41 females) and 83 healthy controls (HCs) (32 males, 51 females). Clinical and imaging data, including clinical history, neuropsychological assessments, and MRI scans, were collected. We analyzed sFNC changes using independent component analysis (ICA) with resting-state functional MRI data. Dynamic connectivity was examined using the sliding time window technique and cluster analysis to assess brain functional activity states and temporal properties. Differences in dFNC temporal properties (fractional occupancy, mean dwell time, and number of transitions) between groups were assessed with two-sample t-tests. Spearman correlation analyses were performed to explore relationships between sFNC and dFNC changes and cognitive function. In the sFNC analysis, the SVCI group showed significantly decreased interactions between the sensorimotor network (SMN) and visual network (VN), and between the left frontoparietal network (lFPN) and VN (p < 0.05), and both of which were associated with cognitive function (p < 0.05). In the dFNC analysis, brain functional activity was grouped into four highly structured functional connection states. The results revealed one strongly connected state dominated by reduced connectivity, two moderately connected states primarily characterized by connectivity reductions with minor increases, and one weakly connected state with a modular pattern. These findings illustrate the progression in SVCI from connectivity disruption to compensation, eventually leading to a diminished compensatory response. Fractional occupancy and mean dwell time of states were correlated with cognitive function (all p < 0.05). CSVD patients exhibit impairments in both sFNC and dFNC, linked to cognitive decline. Connectivity dynamics reflect the brain's adaptive capacity in response to cognitive impairment.
Automated mechanical ventilator design and analysis using neural network
Authors: S Hariharan , Karnan Hemalatha , D Uma Maheswari 
Published: December 2024

Abstract

Mechanical ventilation is the process through which breathing support is provided to patients who face inconvenience during respiration. During the pandemic, many people were suffering from lung disorders, which elevated the demand for mechanical ventilators. The handling of mechanical ventilators is to be done under the assistance of trained professionals and demands the selection of ideal parameters. In this work, a computer-aided simulation of ventilator design is performed for clinical complications like pneumonia and Chronic Obstructive Pulmonary Disease (COPD) and is validated against normal ventilatory parameters. The parameters such as tidal volume, respiratory rate, and inspiration to expiration ratio (I: E) are considered as control values to check the stability of the mechanical ventilator for stern performance. The check valves 1 and 2 governed by the control parameters provide optimal volume that must be sent inside the tracheal region. The hyperparameters are tuned using a low intricate feed-forward neural network (FFNN). The trained features serve as input to the sensors present in the mimicked lung model. The performance metrics of FFNN during the training and testing phases substantiate the optimal performance of the ventilator. The simulation and validation results indicate that the designed ventilator system is stable and effective for clinical use, providing optimal respiratory support for patients with pneumonia and COPD.
Regular aerobic exercises suppress pulmonary injury via angiogenesis in obese mice
Authors: CHOI Jungwon , JO Wooyeon , JIN Jaeho , LEE Soyoon , JANG Seyeon , ZHENG Yaxiong , KIM Hyung Min , JEONG Gil-Saeng , KIM Kee K. , LEE Sang Ki 
Published: December 2024

Abstract

Background Regular aerobic exercise training is essential for pulmonary function in obesity. This study aimed to investigate the effect of pulmonary injury and capillary angiogenesis by types of aerobic exercise training in high-fat diet-induced obese mice.
Methods To achieve the purpose of the study, 5-week-old male C57BL/6 mice (n=40) were randomly divided into two groups: Chow diet and control (CH+CON, n=10) and high-fat diet (HF, n=30). After 8 weeks, the HF group was further randomly divided into three subgroups: high-fat diet control (HF+CON, n=10), moderate-intensity continuous training (MICT) with high-fat diet (HF+MICT, n=10), and high-intensity interval training (HIIT) with high-fat diet (HF+HIIT, n=10). The exercise program was as follows: MICT consisted of sessions at 19 m/min for 40 min (maximal running capacity; MCR) and HIIT consisted of 8 reps of high-intensity runs at 24 m/min for 2.5 min (90% MCR) with active rest at 14 m/min for 2.5 min (50% MCR) on the treadmill. Each session included a 5-min warm-up and cool-down respectively, and conducted for a total of 60 minutes, 5 days a week, for 12 weeks. Lung tissues were analyzed using H&E staining, immunohistochemistry (IHC), and Western blot. Ex vivo contractility of the diaphragm muscle was also measured.
Results The results of the study showed that MICT and HIIT significantly reduced body weight, adipocyte size, and lung damage score in the lungs compared to HF+CON in obese mice. Additionally, the expression of VEGF, VEGFR2, REF-1, and CD31 in HF+MICT and HF+HIIT were increased compared to HF+CON in lung tissues. Both of MICT and HIIT significantly reduced TNF-α expression and increased the expression of SP-A and Catalase in lung tissues. Finally, Both of MICT and HIIT significantly increased diaphragm contractility in obese mice.
Conclusions Our results suggest that both moderate-intensity continuous training and high-intensity interval training ameliorate pulmonary injury by enhancing angiogenesis and diaphragm function in high-fat diet-induced obese mice.
Genetic Counseling Patient Attitudes, Cultural, Psychosocial Factors in Middle East
Authors: Tayoun Ahmad Abou , Shenbagam Shruti , Taylor Alan , Jain Ruchi , Fakhro Khalid , Alkuraya Fowzan 
Published: December 2024

Abstract

Genomic advancements have led to increased utilization of genetic testing in clinical care, yet barriers to accessing genetic counseling and genomics services remain, particularly in the Middle East where inherited diseases are highly prevalent due to consanguinity. Limited knowledge of healthcare professionals' experiences in genetic counseling in the Middle East necessitates understanding their perspectives for better service improvement in the region. As a pilot, a survey of 32 healthcare professionals providing genetic counseling services in the Middle East explored provider experiences, patient attitudes and cultural/psychosocial factors related to genetic testing. Among the participants, 21 providers (65.6%), caring for patients of multiple ethnicities, including Arabs, recognised that there are unique challenges to counseling between these patient groups. Thematic data analysis identified that higher levels of consanguinity and stoic nature of the people are unique cultural considerations for this region. Language barriers and limited resources were identified as genetic counseling challenges. Overall, patients in the region demonstrated good coping abilities with a genetic diagnosis. Eighteen responses (56%) highlighted an overall positive attitude, with increasing awareness and acceptance towards genetic testing in this region. This study highlights the need for further research and interventions to address the unique challenges and improve genetic counseling services in the Middle East.
A tale of two liberalization episodes with China: impact on poverty in a developing nation1
Authors: Pane Deasy Damayanti Putri , Massie Natanael Waraney Gerald 
Published: December 2024

Abstract

We investigate the impact of increased trade with China on poverty in Indonesia, focusing on two key liberalization phases: China's WTO entry in 2001 and the ASEAN-China Free Trade Agreement (ACFTA) implementation in 2010. Using district-level trade exposure and an instrumental variable approach, we find that regions facing greater import competition post-ACFTA experienced faster poverty reduction, particularly driven by increased imports of raw materials and intermediate goods. However, expanded market access to China had limited poverty impact. Regional disparities, shaped by urbanization, education, and literacy, underscore the need for targeted policies to ensure equitable distribution of trade benefits.
Using the COM-B Model to Explore Factors Influencing Adherence to Postoperative Administration of Oral Nutritional Supplementation in Patients with Gastrointestinal Tumors: A Qualitative Study
Authors: Huang Yujia , Han Xiaoyun , Jiang Junfang , Wang Desheng , Chen Weibo , Mi Liudan 
Published: December 2024

Abstract

Objective To gain an in-depth understanding of the influencing factors of postoperative oral nutritional supplementation adherence in patients with gastrointestinal tumors, and to provide a reference for developing intervention strategies.
Methods Based on the Capability-Opportunity-Motivation behavior model, 15 patients who underwent radical surgery for gastrointestinal tumors were selected for semi-structured interviews by descriptive qualitative research method using purposive sampling in April-June 2024, and data analysis was performed by directed content analysis.
Results A total of 3 themes and 10 sub-themes were extracted. ①Capability factors: includes two sub-themes, lack of knowledge about nutrition and ONS, and symptoms of gastrointestinal intolerance. ②Opportunity factors: includes 5 sub-themes, lack of support from family, relatives, friends, and peers, lack of effective health promotion, lack of continuity of care targeting oral nutritional supplementation, lack of financial support, and lack of convenient purchasing access. ③Motivational factors: includes 3 sub-themes, individual differences in the need for and preference for ONS, negative coping styles, inefficient self-management, and the lack of feedback on the effects of taking ONS.
Conclusion There are certain facilitating and hindering factors during postoperative ONS administration in patients with gastrointestinal tumors. It is necessary to set up a nutritional support team, formulate a personalized recommendation plan based on patients' preferences and needs, and carry out postoperative continuity of care services in conjunction with smart healthcare, to improve the symptoms of gastrointestinal intolerance in patients, enhance their awareness of nutritional support, and then improve patients' adherence to ONS.
Blood transcriptome analysis of the crosstalk between ELF1 and OA
Authors: wang siyu , wan lei , zhang xiaojun , fang haoxiang , zhang mengyu , li feng , yan dawei 
Published: December 2024

Abstract

Background
Osteoarthritis (OA) is the most prevalent degenerative disease affecting multiple joints. It is characterized by joint pain, morning stiffness, and deformity, which causes limb instability and disability, seriously damaging the quality of life.Here, we identified apolipoprotein ELF1(E74-like factor 1) as a biomarkerand potential therapeutic target for OA.
Methods
The expression of ELF1 was detected in OA by Gene Expression Omnibus ( GEO ), immunohistochemistry and qRT-PCR. Bioinformatics methods ( protein-protein interaction ( PPI ) network, gene ontology ( GO ), Kyoto Encyclopedia of Genes and Genomes ( KEGG ) pathway and gene set enrichment analysis ( GSEA ) ) were used to show the downstream genes and pathways of ELF1 in OA.
Results
The GO and KEGG enrichment analyses revealed that common DEGs were primarily concentrated in the nucleus and inflammatory response-related signaling pathways. We identified Cyclin Dependent Kinase Inhibitor 1A (CDKN1A), ESF1 Nucleolar Pre-RRNA Processing Protein Homolog (ESF1), Jun Proto-Oncogene, AP-1 Transcription Factor Subunit (JUN), JunD Proto-Oncogene, AP-1 Transcription Factor Subunit (JUND), Protein Phosphatase 1 Regulatory Subunit 15A (PPP1R15A) and ZFP36 Ring Finger Protein (ZFP36) as six downstream hub genes of ELF1. Next, we evaluated the biological function of ELF1 by flow cytometry and CCK-8, and we verified the role of ELF1 in OA chondrocytes.
Conclusions
In conclusion, ELF1 regulates CDKN1A, ESF1, JUN, JUND, PPP1R15A, ZFP36 expression and chondrocyte function, and may have great potential as a biomarker and therapeutic target for OA.
Mutations in a Zea mays alanyl-tRNA synthetase condition an albino phenotype and suggest retrograde signaling affects replication-dependent histone transcription.
Authors: Dhingra Anuradha , Adhikari Indra , Rock Chris 
Published: December 2024

Abstract

We isolated a nuclear recessive, seedling-lethal albino mutant manifesting yellowish-white plantlets. Employing bulk-segregant analysis and whole-genome re-sequencing, we examined 89 homozygous mutant individuals and 205 wild-type relatives from B73 backcrossed pedigrees. We called de novo SNPs and indel variants using Genome Analysis ToolKit. Using QTLseqr BSA software, we fine mapped the alb-605F mutant locus to end of short arm of Chr. 9 within an interval of ~ 10 Mbp. The causal gene Alanyl-tRNA synthetase, predicted to localize to chloroplasts but not mitochondria, was fine-mapped by flanking indel PCR markers and validated by failure to complement the albino phenotype in progeny of test cross with a heterozygous Mutator transposon reverse-genetics allele which also segregated albino progeny when selfed. Both homozygous mutant allele ZmAlaRS plants showed reduction of chloroplast ribosomal rRNAs but were variably leaky for mature plastid rRNA accumulation associated with variable greenhouse and growth chamber environments. A two-nucleotide frameshift deletion and/or retrotransposon insertion discovered in the alb-605F mutant haplotype altered transcript variant abundances versus control sibling samples assayed by BSA RNAseq. Relative genomic DNA read abundances mapping to the organellar genomes were significantly higher in alb-605F mutants compared to wild-type, interpreted as evidence of retrograde signaling processes associated with stalled leaf development. Analysis of Gene Ontology bins showed significant impact of the alb-605F mutation on transcripts associated with retrograde signals from chlorophyll-mediated oxidative stress and/or mitochondrial and nuclear genetic compartments. We identified a novel target of organelle retrograde signaling: replication-dependent histones.