bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors that Influence the Resilience of Muhammadiyah Member's Families during the COVID-19 Pandemic in Surabaya, Indonesia
Authors: Mundakir Mundakir , Choliq Idham , Nasrullah Dede , Syarifurrahman Islam , Firman Firman , Fitriani Vika Ramadhana 
Published: July 2023

COVID-19 has created uncertainty, and its impacts will undoubtedly be severe, long-lasting, and challenging from socioeconomic and psychological perspectives, particularly for families worldwide. This research identified the resilience level of Muhammadiyah members' families in Surabaya during the COVID-19 pandemic and explained the factors related to their family resilience. This research used a cross-sectional method. The samples were 289 respondents, with the inclusion criteria of either the husband or wife being a Muhammadiyah member in Surabaya. The sampling technique used stratified multistage random sampling. The research location was divided intofive5 regions: Central Surabaya, North Surabaya, West Surabaya, South Surabaya, and East Surabaya. Descriptive analysis and Chi-Square statistical test were used. The results of this study indicate that the family resilience of Muhammadiyah members obtained a high score during the pandemic. The factor that influenced family resilience was the location of residence, which obtained a p-value of 0.00, which is less than 0.05. Meanwhile, gender, location of residence, age, occupation, income, and education did not affect the level of family resilience. Further research is needed to develop a family resilience intervention model to improve family resilience.
Mindfulness, Spirituality, and Quality of Life among Cancer Survivors Undergoing Chemotherapy: Three-Month Observa-Tional Studies in Indonesia
Authors: Mulyono Wastu Adi , Chen Hsing-Mei 
Published: July 2023

Cancer survivors’ population has continued to increase. However, survivorship remains challenging for most. Further development of new strategies to combat stress during survivorship was in demand. While religious-spiritual aspects were available as potential resources. A prospective study contributed 274 cancer survivors was conducted. Instruments included the Freiberg Mindfulness Inventory, Functional Assessment of Chronic Illness Therapy - Spiritual Well-Being, Perceived Stress Scale, and the Brief World Health Organization Quality of Life. Three-time points data were set, baseline, one month, and three months. Data were analyzed using repeated-measures ANOVA. The results showed that the mean age of the 274 cancer survivors was 48.97 (11.85) years old with a survivorship period of 1.35 years. Series data obtained from three points measurements each variable were mindfulness 34.15, 33.12, and 40.41; spirituality 33.40, 30.87, and 32.56, stress 20.31, 21.56, and 19.48, and quality-of-life 61.49, 55.71, 63.84, respectively. In conclusion, cancer survivors experienced fluctuating levels of mindfulness and spirituality, stress, and quality of life for three months of observations. However, the natural improvement of mindfulness, spirituality, stress, and quality of life improved in month three.
Comparison of Intramedullary Nails in the Treatment of Trochanteric and Subtrochanteric Fractures
Authors: Grønhaug Kirsten Marie Larsen , Dybvik Eva , Matre Kjell , Östman Bengt , Gjertsen Jan-Erik 
Published: July 2023

Background:
Intramedullary nails are commonly used in the treatment of trochanteric and subtrochanteric fractures. We aimed to compare intramedullary nails in widespread use in Norway on the basis of reoperation risk.

Methods:
We assessed data from 13,232 trochanteric or subtrochanteric fractures treated with an intramedullary nail and registered in the Norwegian Hip Fracture Register between 2007 and 2019. The primary outcome measure was the risk of reoperation for various types of short and long intramedullary nails. Secondly, we compared risk of reoperation for the selected nails with respect to fracture type (AO/OTA type A1, A2, A3, and subtrochanteric fractures). Cox regression analysis adjusted for sex, age, and American Society of Anesthesiologists class was used to estimate hazard rate ratios (HRRs) for reoperation.

Results:
The mean patient age was 82.9 years, and 72.8% of the nails were used in the treatment of female patients. We included 8,283 short and 4,949 long nails. A1 fractures accounted for 29.8%, A2 for 40.6%, A3 for 7.2%, and subtrochanteric fractures for 22.4%. When comparing short nails regardless of fracture type, the TRIGEN INTERTAN had an increased risk of reoperation at 1 year (HRR, 1.31 [95% confidence interval (CI), 1.03 to 1.66]; p = 0.028) and 3 years (HRR, 1.31 [95% CI, 1.07 to 1.61]; p = 0.011) postoperatively compared with the Gamma3. For individual fracture types, we found no significant differences in reoperation risk between the various types of short nails. When comparing long nails, the TRIGEN TAN/FAN had an increased risk of reoperation at 1 year (HRR, 3.05 [95% CI, 2.10 to 4.42]; p < 0.001) and 3 years (HRR, 2.54 [95% CI, 1.82 to 3.54]; p < 0.001) postoperatively compared with the long Gamma3.

Conclusions:
This study may indicate a slightly increased risk of reoperation for the short TRIGEN INTERTAN compared with other short nails in widespread use in Norway. In analyses of long nails, the TRIGEN TAN/FAN nail was associated with a higher risk of reoperation in the treatment of trochanteric and subtrochanteric fractures.

Level of Evidence:
Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
Comparing Skill Acquisition and Validity of Immersive Virtual Reality with Cadaver Laboratory Sessions in Training for Reverse Total Shoulder Arthroplasty
Authors: Crockatt William K. , Confino Jamie E. , Kopydlowski Nathan J. , Jobin Charles M. , Levine William N. 
Published: July 2023

Introduction:
Immersive virtual reality (iVR) allows surgical trainees to practice skills without risking harm to patients or the need for cadaveric training resources. However, iVR has never been directly compared with cadaver training, the longtime gold standard for surgical skill training. We aimed to compare skill acquisition using cadaver laboratory and iVR training methods for augmented baseplate implantation during reverse total shoulder arthroplasty (rTSA).

Methods:
In a randomized controlled trial, junior orthopaedic surgery residents were assigned to a 1-hour training with either iVR or a cadaveric laboratory session with shoulder specimens. Before training, all participants viewed an overview lecture and technique video demonstrating key steps of augmented baseplate implantation for rTSA. Participants were assessed by a blinded evaluator using validated competency checklists during cadaveric glenoid baseplate implantation. Continuous and categorial variables were analyzed using the 2-sample t test and Fisher exact test.

Results:
Fourteen junior residents (3 incoming matched postgraduate year [PGY1], 6 PGY1s, 1 PGY2, and 4 PGY3s) were randomized to training with either iVR (n = 6) or cadaver laboratory (n = 8). There were no significant differences in demographic data, previous experience with rTSA, or previous use of iVR (p > 0.05). There were no significant difference in total Objective Structured Assessment of Technical Skill score (91.2% [15.2] vs. 93.25% [6.32], −0.1406 to 0.1823, p = 0.763), Global Rating Scale score (4.708 [0.459] vs. 4.609 [0.465], −0.647 to 0.450, p = 0.699), or time to completion (546 seconds [158] vs. 591 seconds [192], −176.3 to 266.8, p = 0.655) in cadaveric glenoid baseplate implantation. Average cost of iVR hardware and a 1-year software license was $4,900, and average cost of a single cadaver laboratory was $1,268.20 per resident.

Conclusions:
Among junior orthopaedic residents, there is similar skill acquisition when training with either cadaver laboratory or iVR. Although additional research into this field is needed, iVR may provide an important and cost-effective tool in surgical education.

Clinical Relevance:
Emerging simulation and iVR technology simulation in surgical training programs can increase access to effective and high-level surgical training across the globe and improve quality of care.
A Deep-Learning-Based Graph Neural Network-Long-Short-Term Memory Model for Reservoir Simulation and Optimization With Varying Well Controls
Authors: Huang Hu , Gong Bin , Sun Wenyue 
Published: July 2023

Summary
A new deep-learning-based surrogate model is developed and applied for predicting dynamic oil rate and water rate with different well controls. The surrogate model is based on the graph neural networks (GNNs) and long-short-term memory (LSTM) techniques. The GNN models are used to characterize the connections of injector-producer pairs and producer-producer pairs, while an LSTM structure is developed to simulate the evolution of the constructed GNN models over time. In this way, we use geological attributes at wells and well controls with different times as input data. The oil rates and water rates at different times are generated. In this study, the GNN-LSTM surrogate model is applied to a high dimensional oil-gas-water field case with flow driven by 189 wells (i.e., 96 producers and 93 injectors) operating under time-varying control specifications. A total of 500 high-fidelity training simulations are performed in the offline stage, out of which 450 simulations are used for training the GNN-LSTM surrogate model, which takes about 150 minutes on an RTX2060 GPU. The trained model is then used to provide production forecasts under various well control scenarios, which are shown to be consistent with those obtained from the high-fidelity simulations (e.g., around 4.8% and 4.3% average relative errors for water production rates and oil production rates, respectively). The online computations from our GNN-LSTM model take about 0.3 seconds per run, achieving a speedup of over a factor of 1,000 relative to the high-fidelity simulations, which takes about 363 seconds per run. Overall, this model is shown to provide reliable and fast predictions of oil rates and water rates with a large level of perturbations in the well controls. Finally, the proposed GNN-LSTM model, in conjunction with the particle swarm optimization (PSO) technique, is applied to optimize the field oil production by varying the well control schedule of all injectors. Due to the significant speedup and high accuracy of the proposed surrogate model, the improved well-control strategies can be efficiently obtained.
MiR-130a-3p Regulates FUNDC1-Mediated Mitophagy by Targeting GJA1 in Myocardial Ischemia/Reperfusion Injury
Authors: Yan Yan , Tian Liu-yang , Jia Qian , Han Yang , Chen Hui-ning , Cui Sai-jia , Yao Yong-Ming , Zhao Xiao-jing 
Published: July 2023

Abstract
Understanding the complex pathogenesis in myocardial ischemia/reperfusion (I/R) injury (IRI) is an urgent problem in clinical trials. Increasing pieces of evidence have suggested that miRNAs are involved in the occurrence and development of heart diseases by regulating mitochondria-related gene expression. Mitochondria have been acknowledged as the key triggers of cardiac I/R injury. However, the potential impact of miR-130a on mitochondria remains unclear in myocardial IRI. Exploring the regulatory mechanism of miR-130a on mitochondria may provide a new target for IRI therapy. In the present study, we found that miR-130a significantly increased in acute myocardial infarction (AMI) patients and myocardial I/R rats. MiR-130a could downregulate the viability of cardiomyocytes and the knockdown of miR-130a could protect the viability of cardiomyocytes under hypoxia-reoxygenation (HR). Over-expression of miR-130a resulted in mitochondrial dysfunction. It was evidenced by decreases in mitochondrial ATP production, mitochondrial membrane potential (MMP), and an increase in reactive oxygen species (ROS) production. However, suppression of miR-130a could protect against mitochondrial damage, show elevation of mitochondrial ATP production rate and MMP, and reduce ROS production. We further explored the effect of miR-130a on the mitochondrial quality control (QMC) system by determining mitochondrial-protein-specific proteases and analyzed mitochondrial morphology by fluorescence imaging and electron microscopy, respectively. It was noted that miR-130a could suppress mitochondrial fusion and FUNDC1-mediated mitophagy to accelerate myocardial IRI. Moreover, we investigated the potential miR-130a targeted mitochondria-related genes to understand the regulatory mechanism of miR-130a in the setting of myocardial IRI. It was revealed that miR-130a targeted GJA1, and GJA1 rescued IRI by enhancing ATP production rate and oxidative phosphorylation, meanwhile protecting cell viability, MMP, and activating mitophagy. In addition, the knockdown of miR-130a significantly activated FUNDC1-mediated mitophagy, while the knockdown of GJA1 reversed the relevant response. Collectively, our findings suggest that miR-130a regulates FUNDC1-mediated mitophagy by targeting GJA1 in myocardial IRI.
Efficient strategy to isolate exosomes using anti-CD63 antibodies conjugated to gold nanoparticles
Authors: Panwar Dikshita , Shrivastava Deepali , Kumar Arvind , Gupta Lavleen Kumar , Kumar N. S. Sampath , Chintagunta Anjani Devi 
Published: July 2023

Abstract

Exosomes, a subpopulation of Extracellular vesicles (EVs), are cell-secreted vesicles found in the majority of biological fluids, including breast milk, tears, sweat, blood and, urine. The density and size of these vesicles depend on a variety of factors, including age, gender and the biological condition of the individual. Researchers are now focusing on the selective extraction of exosomes from bodily fluids due to the unique biomolecule composition of exosomes, which is critical for diagnosis, disease, and regeneration. Furthermore, current approaches for exosome isolation have limitations, necessitating the development of a simpler and more effective technique to achieve this goal. In this study, we investigated a quick and effective strategy for isolating exosomes from serum using a bench-top centrifuge. This was accomplished by raising antibodies against exosome surface tetraspanins (CD9, CD63 & CD81) in Leghorn chickens due to their phylogenetic distance from humans and cost-effectiveness for commercial use. In order to separate exosomes from a complex biological fluid, the antibodies were further coupled with gold nanoparticles. The findings were validated using ELISA, spectrophotometry, and electron microscopy. Using this technique, exosome isolation from serum was achieved rapidly and these were captured by using anti CD63 antibodies bound to AuNPs. To summarize, exosomes were purified from serum using anti-CD63 antibodies conjugated to gold nanoparticles (IgY@AuNPs). Consequently, the approach for exosome isolation from biological fluid could be useful for clinically monitoring the biological state of the patients.
Emergence of robust global modules from local interactions and smooth gradients
Authors: Fiete Ila , Khona Mikail , Chandra Sarthak 
Published: July 2023

Abstract

Modular structure and function are ubiquitous in biology, from the scale of ecosystems to the organization of animal bodies and brains. However, the mechanisms of modularity emergence over development remain unclear. Here we introduce the principle of peak selection, a process in which two local interactions self-organize discontinuous module boundaries from a smooth global gradient, unifying the positional hypothesis and the Turing pattern formation hypothesis for morphogenesis.
Applied to the brain's grid cell networks, peak selection results in the spontaneous emergence of functionally distinct modules with discretely spaced spatial periods. Applied to ecological systems, a generalization of the process results in discrete systems-level niches. The dynamics exhibits emergent self-scaling to variations in system size and ``topological robustness'' that renders module emergence and module properties insensitive to most parameters. Peak selection substantially ameliorates the fine-tuning requirement of continuous attractor dynamics even within single modules. It makes a detail-independent prediction that grid module period ratios should approximate adjacent integer ratios, furnishing the most accurate match to data to date, with additional predictions to connect physiology, connectomics, and transcriptomics data. In sum, our results indicate that local competitive interactions combined with low-information global gradients can lead to robust global module emergence.
Greenhouse gas emissions, carbon stocks and productivity following organic amendments – comparison of impacts in non-saline and salt-affected soils
Authors: Farooqi Zia Ur Rehman , Qadir Ayesha Abdul , Khalid Sehrish , Murtaza Ghulam , Ashraf Muhammad Nadeem , Rahman Shafeeq-ur- , Javed Wasim , Waqas Muhammad Ahmed , Xu Minggang 
Published: July 2023

Abstract
Understanding the impact of greenhouse gas (GHG) emissions and carbon stock is crucial for effective climate change assessment and agroecosystem management. However, little is known about the effects of organic amendments on GHG emissions and dynamic changes in carbon stocks in salt-affected soils. To fill this research gap, we conducted a pot experiment with four treatments including control (without fertilization), biochar, vermicompost, and compost on non-saline and salt-affected soils, with the application on a carbon equivalent basis. Our results revealed that the addition of vermicompost significantly increased soil organic carbon content by 18% in non-saline soil and 52% in salt-affected soil compared to the control leading to improvements in crop productivity by 73% in non-saline soil and 53% in salt-affected soil. However, the highest carbon dioxide emissions were observed in vermicompost- and compost-treated soils, leading to an increase in emissions of 46% in non-saline soil and 74% in salt-affected soil compared to the control. The compost treatment resulted in the highest nitrous oxide emissions, with an increase of 57% in non-saline soil and 62% in salt-affected soil compared to the control. In saline and non-saline soils treated with vermicompost, the global warming potential was recorded as 267% and 81% more than the control, respectively. All treatments, except biochar in non-saline soil, showed increased net GHG emissions due to organic amendment application. However, biochar reduced net emissions by 12% in non-saline soil. The application of organic amendments increased soil organic carbon content and crop yield in both non-saline and salt-affected soils. In conclusion, biochar is most effective among all tested organic amendments at increasing soil organic carbon content in both normal and salt-affected soils, which could have potential benefits for soil health and crop production.
A novel cholesterol metabolism-related ferroptosis pathway in hepatocellular carcinoma
Authors: Fang Weiwei , Pang Cheng , Li Xiying 
Published: July 2023

Abstract
Background
Emerging studies have reported the contribution of cholesterol to hepatocellular carcinoma (HCC) progression. However, the specific role and mechanism of cholesterol metabolism on spontaneous and progressive HCC development from the point of view of ferroptosis are still worth exploring. The present study aimed to reveal a novel mechanism of cholesterol metabolism-related ferroptosis in hepatocellular carcinoma cells
Methods
Two microarray datasets (GSE25097, GSE22058) related to HCC were downloaded from Gene Expression Omnibus (GEO) datasets. Metabolomics analysis was performed by ultra performance liquid chromatography - tandem mass spectrometer (UPLC-MS/MS). The cholesterol-related proteins were downloaded from HMBD. Ferroptosis-related genes were extracted from FerrDb database. Data sets were separated into two groups. GSE25097 was used to identify ferroptosis-related genes, and GSE22058 was used to verify results. During these processes, chemical–protein interaction (CPI), protein–protein interaction (PPI), the Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted.
Results
finally identified 8 differentially expressed ferroptosis-related genes (HAMP, PTGS2, IL1B, ALOX15B, CDKN2A, RRM2, NQO1 and KIF20A) and 4 differentially expressed cholesterol-related genes (LCAT, CH25H, CEL and CYP7A1). Further function analysis revealed that the 8 differentially expressed ferroptosis-related genes are enriched in metabolic pathways, arachidonic acid metabolism, NF-kappa B signaling pathway, TNF signaling pathway, p53 signaling pathway, IL-17 signaling pathway, C-type lectin receptor signaling pathway, serotonergic synapse and other related pathways, and the 4 differentially expressed cholesterol-related genes are enriched in primary bile acid biosynthesis, cholesterol metabolism and other related pathways. Furthermore, based on the predicted results with STITCH, we identified indomethacin and IL1B as the essential node for cholesterol-mediated ferroptosis in hepatocellular carcinoma cell.
Conclusions
Our findings shed new light on the association between cholesterol metabolism and ferroptosis in HCC, and suggest that IL1B is the necessary node for cholesterol to lead to ferroptosis process in HCC. Also, we identified the potential role of indomethacin in adjuvant therapy of HCC with complications of abnormal cholesterol metabolism.
Investigation on the origin of hot electrons in laser plasma interaction at shock ignition intensities
Authors: Cristoforetti G. , Baffigi F. , Batani D. , Dudzak R. , Fedosejevs R. , Filippov E. D. , Gajdos P. , Juha L. , Khan M. , Koester P. , Krus M. , Mancelli D. , Martynenko A. S. , Nicolai Ph. , Pikuz S. A. , Renner O. , Tentori A. , Volpe L. , Woolsey N. , Zeraouli G. , Gizzi L. A. 
Published: July 2023

Abstract
Shock Ignition is a two-step scheme to reach Inertial Confinement Fusion, where the precompressed fuel capsule is ignited by a strong shock driven by an intense laser pulse at intensity ∼ 1016 W/cm2. In this report we detail the results of an experiment designed to investigate the origin of hot electrons (HE) in laser-plasma interaction at intensities and plasma temperatures expected for Shock Ignition. A detailed time- and spectrally-resolved characterization of Stimulated Raman Scattering (SRS) and Two Plasmon Decay (TPD) instabilities, as well as of the generated HE, suggest that SRS is the dominant source of HE via the damping of daughter plasma waves. The temperature dependence of laser plasma instabilities was also investigated, enabled by the use of different ablator materials, suggesting that TPD is damped at earlier times for higher plasma temperatures, due to the Landau damping effect. The identification of the predominant HE source and the effect of plasma temperature on laser plasma interaction, here investigated, are extremely useful for developing the mitigation strategies for reducing the impact of HE on the fuel ignition.