bluuebunny/crossref_metadata_2025_split huggingface dataset:
Engineered Extracellular Vesicles from LncEEF1G Overexpressing Mesenchymal Stem Cells Promote Fibrotic Liver Regeneration by Upregulating HGF Release of Hepatic Stellate Cells
Authors: Zheng Jun , Zhang Jiebin , Lei Yunguo , Liu Xiaoquan , Qiu Xiaotong , Chen Haitian , Li Rong , Wang Tingting , Sui Xin , Xiao Jiaqi , Jiang Chenhao , Zhang Huayao , Liu Yasong , Zhang Yingcai , Yao Jia , Che Xu , Lin Ye , Pan Zihao 
Published: March 2024

Abstract
Fibrosis is a critical cause for negatively affecting liver regeneration resulting in severe complications after liver surgery. However, there is still no effective treatment for promoting fibrotic liver regeneration adapting to clinical translation due to the ambiguous mechanism. Through miRNA microarray combined with the application of AAV6, we found the high expression of miR-181a-5p in the activated hepatic stellate cells (HSCs) to suppress the expression of hepatic growth factor (HGF) partially contributed to impaired the potential of regeneration in mice with hepatic fibrosis receiving a two-thirds partial hepatectomy (PHx). As a nanotherapeutic, mesenchymal stem cell-derived extracellular vesicles (MSC-EVs) have been verified as an effective treatment for liver regeneration. We revealed that MSC-EVs could also promote fibrotic liver regeneration via enriched lncEEF1G that acted as a competing endogenous RNA (ceRNA) to directly sponge miR-181a-5p leading to the upregulated expression of HGF of HSCs. Finally, the engineered MSC-EVs with high expression of lncEEF1G (lncEEF1GOE-EVs) were constructed exhibiting more potential for this model. In summary, our findings present that lncEEF1GOE-EVs exert nanotherapeutic capacity in promoting regeneration of fibrotic liver by modulating miR-181a-5p/HGF pathway of HSCs, which also highlights the available of EV-engineering technology for the population of hepatic fibrosis receiving hepatic surgery.
Association between triglyceride-glucose index and mortality in patients with cirrhosis: a retrospective cohort study
Authors: Ma Xin-Yi 
Published: March 2024

Abstract

Background
Insulin resistance is common in patients with end-stage chronic liver diseases, especially cirrhosis. The association between the triglyceride glucose (TyG) index, a reliable measure for surrogate marker for insulin resistance, and mortality among cirrhotic patients remains unclear.
Methods
This retrospective cohort study was based on the MIMIC-IV database. Adult cirrhotic patients were categorized into two groups based on the TyG index: the Q1 group (TyG index < 8.8) and the Q2 group (TyG index ≥ 8.8). The primary outcome was 28-day mortality, and the secondary outcome was in-hospital mortality. COX proportional hazards model analyses were used to investigate the association between TyG index and mortality.
Results
The study included 1322 patients. The 28-day mortality was 17.9% in the Q1 group and 23.3% in the Q2 group. As categorical variable, elevated TyG index was associated with higher 28-day mortality (HR 1.422, 95% CI 1.098–1.841, P = 0.008) and in-hospital mortality (HR 1.442, 95% CI 1.118–1.859, P = 0.005). As continuous variable, every 1 unit increase in the TyG index was associated with increased 28-day mortality (HR 1.301, 95% CI 1.105–1.531, P = 0.002) and in-hospital mortality (HR 1.345, 95% CI 1.105–1.531, P < 0.001).
Conclusions
The TyG index was associated with increased mortality among patients with cirrhosis.
A study on the actor-partner effects between positive psychological capital and dyadic coping in breast cancer patients and their spouses
Authors: Zhang Shan , Liang Xin-hui , Wang Xin-yi , Ji Jin-rui , Bao Yu , Gao Fang-ning , Zhao Jie , Cao Bao-hua 
Published: March 2024

Abstract
Background As a protective factor, positive psychological capital is closely related to physical and mental health. However, existing studies lack analysis from the perspective of patient-spouse interactions. This study aims to explore the effects of positive psychological capital and dyadic coping in breast cancer patients and their spouses by constructing an actor-partner interdependence model.
Methods Using a convenient sampling method, 249 couples with breast cancer who were admitted to three tertiary hospitals in Xi 'an from October to December 2023 were recruited for investigation. The Chinese version of the Positive Psychological Capital Questionnaire and Dyadic Coping Inventory were used to measure the positive psychological capital and dyadic coping of breast cancer patients and their spouses. An actor–partner interdependence model was constructed to identify the interaction between positive psychological capital and dyadic coping of patients and spouses.
Results The positive psychological capital scores of breast cancer patients and their spouses were (122.59±15.98) and (130.01±15.53), respectively. Patients' positive psychological capital scores were lower than their spouses (P＜0.001). The tenacity dimension score of the patients was (3.93±0.89), which was no significant difference from the theoretical median value of the scale (t=1.324, P=0.188).The dyadic coping scores were (121.09±15.66) and (123.47±14.10), respectively, between the cut-off points of 111 and 145. The score of the spouses’ stress communication was lower than that of their spouses（P＜0.05）, and there was no significant difference between the other dimensions (P > 0.05). Regarding the actor–partner effect, patients and their spouse's positive psychological capital can positively predict their own and their spouses' dyadic coping (P < 0.05).
Conclusion We found that the positive psychological capital and dyadic coping scores of breast cancer patients and their spouses were both at a moderate level, and the tenacity dimension scores were the lowest in the positive psychological capital of patients. The findings highlight that the dyadic coping of couples is affected by individuals and their spouses' positive psychological capital.
Predictors of weight and waist gain in US South Asians: Findings from the Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study
Authors: Seetharaman Sujatha , Allen Isabel , Gadgil Meghana , Sriniva Shylaja , Topor Lisa , Kanaya Alka 
Published: March 2024

Abstract

Background. Weight and waist gain are significant concerns in adulthood. Both weight and waist gain are particularly important among South Asians, a high-risk group known to develop chronic cardiometabolic complications at any body mass index compared to other racial and ethnic groups.
Objective. The aim of this study was to investigate factors predicting weight and waist gain in a longitudinal cohort of US South Asians, a high-risk group for developing obesity-related complications.
Methods. We used data from Mediators of Atherosclerosis in South Asians Living in America study (MASALA) exam 1 (2010-2013) and exam 2 (2015-2018), with a mean 4.8 years of follow-up.
Results. Of 634 participants studied (42.7% women, mean age 55 years, BMI 25.7 kg/m2, weight 70.4 kg at exam 1), 34.7% had gained ≥5% weight and 32.3% gained ≥5% waist at exam 2. In the adjusted models, older age, higher number of years of US residence, and having diabetes were associated with lower odds of weight gain; being female and having higher adiponectin were associated with higher odds of weight gain. Being female, employed full or part time, or retired were associated with lower odds of waist gain. Being single, separated/divorced, having a higher leptin and a higher C-reactive protein level were associated with higher odds of waist gain.
Conclusions. South Asian subgroups with higher risk of weight and/or waist gain may benefit from targeted interventions to improve health outcomes.
Conditional survival after radiofrequency ablation for early-stage hepatocellular carcinoma
Authors: Yen Yi-Hao , Moi Sin‑Hua , Kee Kwong-Ming , Hung Chao-Hung , Chen Chien-Hung , Hu Tsung-Hui , Wang Jing-Houng , Lin Chih-Yun 
Published: March 2024

Abstract
We analyzed how conditional survival (CS) after radiofrequency ablation (RFA) for early-stage hepatocellular carcinoma (HCC) predicts survival estimates over time.
We enrolled 791 patients with newly diagnosed early‐stage HCC (i.e., within Milan criteria) and Child–Pugh class A liver disease undergoing RFA. Three-year CS, calculated as CS = S(x+3)/S(x), was the probability of surviving an additional three years, given that the patient had already survived x years. One-, three-, and five-year overall survival rates were 96.3%, 72.3%, and 59.7%, respectively, and were lower for patients with a MELD score of >9, BCLC stage A disease, and AFP level of ≥20 ng/ml. However, three-year CS showed that patients ablated for BCLC stage A or AFP ≥20 ng/ml had the same survival probabilities as patients with BCLC stage 0 or AFP <20 ng/ml from the third year onward after RFA. In contrast, the three-year CS of patients with a MELD score of ≤9 was always better than that of patients with a MELD score of >9. We concluded that CS showed that the impact of different variables on survival after RFA is not linear over time. Information derived from CS can be used to dynamically predict the prognosis of patients with HCC.
The Influence of Climatic and Edaphic Factors on Growth of Farm Grown Teak in Tamil Nadu, India
Authors: Rajah R Ashick , Radhakrishnan S. , Balasubramanian A. , Balamurugan J. , Ravi R. , Sivakumar B. , Hariprasath C.N. , Swathiga G. , Navaneethakrishnan S. , Abbas Ghazanfer , Vasanth V , Bora Nilav , Patil Pragati 
Published: March 2024

Abstract
Teak (Tectona grandis, Linn.f) is a prized hardwood species with remarkable properties that make it a favored material in various industries. In current trend, the cultivation of teak in farmlands is considered as a promising and viable option. But the documentation and research on growth attributes and the studies on influence of climatic and edaphic factors on growth of teak raised in farmland condition is lacking. In this regard, the present investigation on farm grown teak was perpetrated in three agroclimatic zones viz., High Rainfall Zone (HRZ), Southern Zone (SZ) and Cauvery Delta Zone (CDZ) of Tamil Nadu in four different age classes (0-5, 5-10, 10-15 and 15-20 years). The study was carried forward with the prime motive of determining growth attributes and analyzing the impact of climatic and edaphic parameters on growth biometry of farm raised teak, both in block and boundary plantations. The soil physico-chemical parameters were analyzed both in surface (0-15 cm) and subsurface (15-30 cm) of farm grown teak plantations and the outcomes exposed that maximum organic carbon (0.62%), available nitrogen (197 Kg ha-1), available phosphorous (22 Kg ha-1) and available potassium (340 Kg ha-1) were observed in surface soils of high rainfall zone. Meanwhile maximum pH (8.30) and electrical conductivity (0.24 dS/m) were observed in southern zone. The follow-up of correlation studies between growth and climatic variables brought to light that tree volume positively correlated with climatic parameters viz., annual rainfall, mean maximum temperature, mean minimum temperature and mean relative humidity in both boundary and block plantations. Harmoniously, the correlation analysis between growth and edaphic parameters showed positive correlation with edaphic variables viz., organic carbon, available nitrogen, available phosphorous and available potassium, whereas growth depicted negative correlation with pH and electrical conductivity in both boundary and block plantations.
APOLLO: A Proximity-Oriented Low-Level Orchestration Algorithm for Performance Optimization in Mist Computing
Authors: Babaghayou Messaoud , Chaib Noureddine , Maglaras Leandros , Yigit Yagmur , Ferrag Mohamed Amine , Marsh Carol , Moradpoor Naghmeh 
Published: March 2024

Abstract
The fusion of satellite technologies with the Internet of Things (IoT) has propelled the evolution of mobile computing, ushering in novel communication paradigms and data management strategies. Within this landscape, the efficient management of computationally intensive tasks in satellite-enabled mist computing environments emerges as a critical challenge. These tasks, spanning from optimizing satellite communication to facilitating blockchain-based IoT processes, necessitate substantial computational resources and timely execution. To address this challenge, we introduce APOLLO, a novel low-layer orchestration algorithm explicitly tailored for satellite mist computing environments. APOLLO leverages proximity-driven decision-making and load balancing to optimize task deployment and performance. We assess APOLLO's efficacy across various configurations of mist layer devices while employing a round-robin principle for equitable task distribution among the close low-layer satellites. Our findings underscore APOLLO's promising outcomes in terms of reduced energy consumption, minimized end-to-end delay, and optimized network resource utilization, particularly in targeted scenarios. However, the evaluation also reveals avenues for refinement, notably in CPU utilization and slightly low tasks success rates. Our work contributes substantial insights into advancing task orchestration in satellite-enabled mist computing with more focus on energy and end-to-end sensitive applications, paving the way for more efficient, reliable, and sustainable satellite communication systems.
A RS-BOLGBM Algorithm Based on LightGBM for Supercomputing Center Job Running Status Prediction
Authors: Cao Ronghui , Tang Xiaoyong , Shi Cheng , Wu Yiming , Tan Deng , Liu Wenzheng , Huang Mingfeng 
Published: March 2024

Abstract
In recent years, more and more large-scale high-performance applications have been submitted to the Supercomputing Center for processing. These jobs often require intensive computations, and any running failure will lead to a lot of wasted costs. Therefore, the effective prediction of job running status will help to improve the resource management efficiency of the Supercomputing Center. In this paper, we first propose a combinatorial feature selection method combining ReliefF and SelectKBest, which can effectively obtain job running state features. Then, an improved LightGBM algorithm based on Bayesian hyperparameter optimization is proposed. This approach can further enhance the prediction accuracy and tuning efficiency. Thirdly, we achieve a RS-BOLGBM algorithm based on LightGBM for the Supercomputing Center job running status prediction on Spark. The experimental results show that our proposed RS-BOLGBM algorithm has good prediction accuracy on the common SWF (standard workloads format) dataset of the Supercomputing Center. Our proposed RS-BOLGBM also has good running efficiency on the Spark cluster.
Effect of pH and calcium chloride on the thermal inactivation kinetics and stability of chlorophyllase in mulberry leaves
Authors: Zhao Yali , Qian Shenye , Lu Jinwen , Liu Xintong , Cai Yingyu , Cao Xiamin , Liu Xunwen , Cai Chunfang 
Published: March 2024

Abstract
This study assessed the effect of pH (5.7, 6.8, and 8.0, adjusted using phosphate buffer) and calcium chloride (0.2 g/kg, 0.6 g/kg, and 1.0 g/kg) on the chlorophyllase (Chlase) activity and thermal inactivation in mulberry leaves at temperatures ranging from 75 ℃ to 100 ℃. The overall lethality was calculated, and the subsequent data were described using a two-fraction kinetics model. The results showed that the Chlase activity displayed an initial increase at a higher pH level and calcium chloride concentration, followed by a decline. Furthermore, the pH and calcium chloride also affected the Chlase inactivation kinetics. Weak acidity (pH 5.7) distinctly promoted Chlase inactivation during thermal treatment, while weakly alkaline conditions (pH 8.0) enhanced heat stability. The presence of calcium chloride increased the Chlase thermal stability, while the response to thermal processing (TP) varied depending on the calcium chloride concentration.
Analysis of solar energetic particle (SEP) event on the geomagnetic environment during 24th solar cycle
Authors: R Nirmal Kumar , C Ranjith Dev Inbaseelan , E Karthikeyan , M Nithyasree , H Johnson Jeyakumar 
Published: March 2024

Abstract

We report a study of major solar energetic particle (SEP) and ground level enhancement (GLE) events that occurred during the first 62 months of the rising phase of 24th solar cycle. Our objective is to comprehend the key factors that influence the severity and occurrence of such events. Coronal mass ejection (CME) speed (serves as or is) a reliable indicator of SEP and GLE events, as it consistently supports the shock acceleration mechanism. Some very fast CMEs, which likely have accelerated particles upto GeV energies, they may not result in a GLE event due to poor latitudinal connectivity. We have emphasized that the CME speed, magnetic connectivity to Earth, and ambient conditions as the main or primary factors that contribute to the lack of high-energy particle events during cycle 24. Furthermore, we observed that even well-connected fast CMEs that did not seem to have accelerated high-energy particles due to potentially unfavorable prevailing conditions such as high Alfven speed and overall reduction in acceleration efficiency in cycle 24. These conclusions are generally supported by insights gleaned from the observation of the time series of SW-IMF parameters on the flare day.
Next Generation Sequencing Panel as an Effective Approach to Genetic Testing in Patients with a Highly Variable Phenotype of Neuromuscular Disorders
Authors: Radziwonik-Fraczyk Wiktoria , Elert-Dobkowska Ewelina , Karpinski Marek , Pilch Jacek , Ziora-Jakutowicz Karolina , Kubalska Jolanta , Szczesniak Dominika , Stepniak Iwona , Zaremba Jacek , Sulek Anna 
Published: March 2024

Abstract

Neuromuscular disorders (NMDs) include a wide-range of diseases affecting the peripheral nervous system. The genetic diagnoses are increasingly obtained with using the next generation sequencing (NGS). We applied the custom-design targeted NGS panel including 89 genes, together with genotyping and multiplex ligation-dependent probe amplification (MLPA) to identify a genetic spectrum of NMDs in 52 Polish patients. As a result, the genetic diagnosis was determined by NGS panel in 29 patients so its diagnostic utility is estimated at 55.8%. The most pathogenic variants were found in CLCN1, followed by CAPN3, SCN4A, and SGCA genes. Genotyping of myotonic dystrophy type 1 and 2 (DM1 and DM2) as a secondary approach has been performed. The co-occurrence of CAPN3 and CNBP mutations in one patient as well as DYSF and CNBP mutations in another suggests the ‘’double-trouble’’ diagnosis. In 7 individuals with single nucleotide variant found in NGS testing, the MLPA of the CAPN3 gene was performed detecting the deletion encompassing exons 2–8 in the CAPN3 gene in one patient, confirming recessive limb-girdle muscular dystrophy type 1 (LGMDR1). Thirty patients obtained a genetic diagnosis (57.7%) after using NGS testing, genotyping and MLPA analysis. The study allowed for the identification of 27 known and 4 novel pathogenic/likely pathogenic variants and variants of uncertain significance (VUS) associated with NMDs. In conclusion, the diagnostic approach with diverse molecular techniques enables to broaden the mutational spectrum and maximizes the diagnostic yield. Furthermore, the co-occurrence of DM2 and LGMD has been detected in 2 individuals.
Complete thrombosis of a bioprosthetic mitral valve and left atrium in a patient on venoarterial extracorporeal membrane oxygenation with favorable outcome
Authors: Hall James , Khilkin Michael , Abrol Sunil 
Published: March 2024

Abstract
Intra-cardiac thrombosis is a potentially devastating complication of extracorporeal membrane oxygenation (ECMO) mechanical circulatory support. We present here a patient who suffered complete thrombosis of a fresh mitral prosthesis and left atrium in the setting of ECMO with aortic insufficiency who was treated with repeat valve replacement and thrombectomy. To our knowledge, she is the only patient in the reported to have survived this complication.
Exploring Lifestyle Activities as Possible Protective Factors for Life Satisfaction: A Cross-sectional Study
Authors: Sakimoto Fumio , Doi Takehiko , Katayama Osamu , Matsuda Soichiro , Makino Keitaro , Shimada Hiroyuki 
Published: March 2024

Abstract
Background and objective:
Life satisfaction is an important factor in maintaining or increasing healthy life expectancy. However, as it is unclear what activities are associated with life satisfaction in older adults, we investigated whether lifestyle activity engagement contributes to higher life satisfaction levels.
Methods
The study participants were 4,167 community-dwelling older adults aged 60 years or above in a cross-sectional survey. Life satisfaction was assessed using the Life Satisfaction Scale, which contains 13 questions, each comprising four levels. A 36-item Lifestyle Activities Questionnaire was used to assess participants’ lifestyle activities, with 12 items each covering physical, cognitive, and social activities. The results of each activity were categorized into high-, moderate-, or low-activity tertiles to determine their association with life satisfaction. The relationship between life satisfaction and each activity type was also examined by stratifying the associated characteristics (i.e., living alone, gender, and age).
Results
The logistic regression analysis adjusted for covariates showed that physical, cognitive, and social activities had protective effects on life satisfaction. The high activity group had a lower odds ratio (OR) for low life satisfaction compared with the low-activity group (physical activity: moderate group OR 0.87, 95% confidence intervals (CI) 0.73–1.03, high group OR 0.78, 95% CI 0.65–0.92; cognitive activity: moderate group OR 0.88, 95% CI 0.74–1.04, high group OR 0.67, 95% CI 0.56–0.81; social activity: moderate group OR 0.74, 95% CI 0.62–0.88, high group OR 0.63, 95% CI 0.52–0.75). The stratified analysis revealed different associations under each stratum, with only social activities demonstrating a protective effect on life satisfaction across all strata.
Conclusion
High engagement in lifestyle activities had a protective effect on life satisfaction. The differences in the relationship between each activity type and life satisfaction varied based on participants’ characteristics. To maintain life satisfaction, it is necessary to understand the contribution of different activity types and the individual characteristics of the target population.