bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of Biomarkers in Affected Hair Follicles from Chronic Discoid LupusErythematosus by Weighted Gene Co-Expression Network Analysis
Authors: Chen Qitao , Tao Qiuwei , Li Yuqian , Shao Guanghui , Zhu Jing , Zhu Qilin , Li Zhongming , Du Xufeng 
Published: December 2022

Abstract
Chronic discoidal lupus erythematosus (CDLE) is an inflammatory skin disease characterized by localized, round, red, patchy skin lesions, which often occur on the head. Inflammatory cells often show an infiltration pattern targeting hair follicles, leading to alopecia. Our study aims to analyze the characteristics of gene expression data from hair follicle samples by bioinformatics methods, and the representative genes will be validated in data from skin samples with the same disease. The gene expression profile GSE119207 was obtained from the Gene Expression Omnibus (GEO) database as an experimental set, including microarray gene expression data of 4 healthy human hair follicles and 7 lesional and non-lesional hair follicles with CDLE. Gene profile GSE81071 included 13 healthy scalp samples and 47 scalp samples from CDLE lesions as the validation set. The experimental set was analyzed by differential gene expression analysis and WGCNA, respectively, and the intersection was taken to screen the key genes. The key genes were analyzed by GO and KEGG analysis to determine the related biological processes and pathways. The protein-protein interaction network of key genes was established by string and visualized by Cytoscape, and hub genes were obtained by cytoHubba. The acquired hub genes were used as ROC curve in the validation set to verify the consistency, and the related mirnas predicted by the hub genes were obtained by miRNet (version 2.0). Finally, cibersort was used to explore the infiltration pattern of immune cells in the hair follicles of CDLE. Through this process, we found that type I interferon response-related genes activated by the RIG-1 and IL-17 signaling pathways were significantly up-regulated, and the involved hub genes were also consistently upregulated in skin tissues. This process may involve the involvement of follicular helper T cells (Tfhs).
Longitudinal in vivo metabolic labeling reveals tissue-specific mitochondrial proteome turnover rates and effects of parkin deficiency
Authors: Stauch K. L. , Totusek S. , Trease A. J. , Estrella L. D. , Emanuel K. , Fangmeier A. , Fox H. S. 
Published: December 2022

Abstract
Our study utilizes a longitudinal isotopic metabolic labeling approach in vivo in combination with organelle fraction proteomics to address the role of parkin in mitochondrial protein turnover in mice. The use of metabolic labeling provides a method to quantitatively determine the global changes in protein half-lives whilst simultaneously assessing protein expression. Studying two diverse mitochondrial populations, we demonstrated the median half-life of brain striatal synaptic mitochondrial proteins is significantly greater than that of hepatic mitochondrial proteins (25.7 vs. 3.5 days). Furthermore, loss of parkin resulted in an overall, albeit modest, increase in both mitochondrial protein abundance and half-life. Pathway and functional analysis of our proteomics data identified both known and novel pathways affected by loss of parkin that are consistent with its role in both mitochondrial quality control and neurodegeneration. Our study therefore adds to a growing body of evidence suggesting dependence on parkin is low for basal mitophagy in vivo and provides a foundation for the investigation of novel parkin targets.
Determining Optimal Solar Power Plant (SPP) Sites by Technical and Environmental Analysis: The Case of Safranbolu-Türkiye
Authors: Arca Deniz , Citiroglu Hulya Keskin , Yalçınkaya Nermin Merve 
Published: December 2022

Abstract
Solar energy is among the sustainable and renewable energy sources that have become an important and inevitable part of our lives today. It is of great importance to consider economic, environmental and social factors in determining the installation locations of solar power plants (SPP). In this study, it is aimed to determine suitable areas where SPP can be established in Safranbolu district by using the Fuzzy Analytical Hierarchy Process (FAHP), which is one of the Multiple Criteria Decision Making (MCDM) methods together with Geographic Information Systems (GIS), in order to enable the decision makers to express their preferences in approximate or adaptable ways. The criteria addressed in the technical analysis process were also determined by supporting the basic principles of impact assessment systems. Within the scope of the environmental analysis, the relevant national and international legal framework was also examined and the legal constraints were identified. Thus, in the process of determining the optimal areas for SPP, it has been tried to produce sustainable solutions that are expected to have minimal impact on the integrity of the natural system. According to the results obtained, there are very suitable areas for SPP installation in the central and western parts of Safranbolu district, and there are also areas suitable for SPP installation in the northern and southern parts of the district. It was also observed that these areas do not conflict with the basic principles of impact assessment systems.
A case of herpes simplex virus induced peripheral neuropathy and encephalitis with positive GM3 and CASPR2 antibody
Authors: Lu Hongji , Liao Yingdi , Zhang Changlin , Wen Wanxing , Du Yaming , Zhao Ming , Wang Lixing 
Published: December 2022

Abstract
Background: We reported on a case involving an older patient with HSV-1 encephalitis who simultaneously experienced the onset of peripheral nerve symptoms associated with the presence of anti-GM3 immunoglobulin G (IgG).
Case presentation: A 77-year-old male was admitted to hospital with high fever, weakness of both lower limbs, and an unstable gait. A CSF test revealed a strikingly increased protein level (1,002 mg/L) and MRI revealed hyper-signal lesions in the right temporal lobe, right hippocampus, right insula, and right cingulate gyrus. The CSF was positive for HSV PCR (HSV-1,17870). In addition, the serum samples were positive for CASPR2 antibodies (1/10) and anti-GM3 immunoglobulin G (IgG) (+). The patient was diagnosed with HSV-1-induced peripheral nerve symptoms that were associated with encephalitis and the presence of anti-GM3 IgG and anti-CASPR2 antibodies. The patient had received included intravenous immunoglobulin, intravenous acyclovir, and corticosteroids therapy. At the one-year follow-up examination, he had regained the necessary skills associated with daily life.
Conclusions: Herpes simplex virus infection often induces encephalitis, and reaction to the virus may trigger an autoimmune response. Early diagnosis and treatment can avoid the progression of the disease to include autoimmune encephalitis.
Goal-directed fluid therapy in renal failure patients undergoing parathyroidectomy: a randomized, single-center, controlled trial
Authors: Yang Quanyong , Bu Tegeleqi , Yu Kaili , Ma Ying , Wang Lifang , Zhang Xiaobei , Yin Yiqing 
Published: December 2022

Abstract
Purpose: Parathyroidectomy, recommended when secondary hyperparathyroidism develops in renal failure patients on long-term renal dialysis, has high cardiovascular risks due to chronic fluid depletion. Stroke volume variation (SVV) is suitable for real-time liquid therapy titration under general anesthesia. We aimed to evaluate the Goal-directed fluid therapy by SVV for parathyroidectomy in renal failure patients.
Materials and Methods: This randomized controlled trial enrolled renal failure patients (N = 121) scheduled for parathyroidectomy under general anesthesia. The Goal-directed fluid therapy (GDT) group monitor was infused with saline until SVV was under 10%; the controls received standard restricted fluid therapy (SRT). Vasoactive agents were also available to maintain systolic blood pressure (SBP)≥90mmHg, mean blood pressure (MAP)≥65mmHg, or cardiac index 2.5–4.5 (L/min/m2). Data were presented as mean or median. The primary outcome was the perioperative hemodynamic changes. The secondary outcomes were blood gas analysis, fluid supplementation, vasoactive drug dosage, operation time, dialysis parameters, postoperative complications, postoperative lactate levels, and total days of hospitalization.
Results: Compared with SRT, GDT-Group patients needed more fluid, and their ephedrine use was reduced; they achieved stable blood flow changes during the perioperative period, who had lower serum lactic acid (cLAC) levels and postoperative complications.
Conclusion: This is the first study to propose that goal-directed fluid therapy by SVV in renal failure patients undergoing short-term surgery under general anesthesia could correct volume depletion, optimize tissue perfusion, and reduce blood pressure fluctuations and postoperative complications, with no long-term adverse effects.
Trial registration: Research Ethics Committee of Clinical Research Ethics Committee of China-Japan Friendship Hospital, Beijing, China (2018-125-K91-1). The study protocol was registered in Chinese Clinical Trial Register Network (ChiCTR1800019009, 21/10/2018).
Design and techno-economic analysis of impact of renewable energy on grid-connected power systems: Kakuri community, Nigeria as a case study.
Authors: Badmus Emmanuel Oluwatobi , Odekunle Oluwamurewa Precious , Omole Samuel Olamide 
Published: December 2022

Abstract
This research studied the technical, economic, and environmental analysis of system hybridisation of renewable energy systems connected to the conventional grid. The HOMER Pro software analysed the potential of using grid-connected energy systems. The location for the study is the Kakuri in Kaduna, Nigeria, which had an average load of 165.44kWh/day at a 20.46kWpeak. Hybridisation simulations were to showcase the availability of electricity supply and the impact on energy cost. Sensitivity analysis was conducted to understand the impact of the increase in the average yearly solar irradiance, depending on location and weather. The most optimised scenario was the PV/Converter/Grid system which supplied 25kW power, and which PV system supplied 52% of the annual electricity production, which stood at 45,721 kWh/yr. Cost analysis also indicated that the system had a Levelized cost of energy of ₦29.29/kWh and a Net Present Cost (NPC) of ₦28.9 million. 45% NPC made up the PV, while the grid and converter shared 42% and 13%, respectively. The hybrid model was also simulated via MATLAB/SIMULINK software to showcase, analyse and implement the system’s viability for practical scenario usage.
„Don’t look up”: trust and COVID-19 immunization choices.
Authors: Carrieri Vincenzo , Guthmuller Sophie , Wübker Ansgar 
Published: December 2022

Abstract
This article uses novel data collected on a weekly basis covering more than 35,000 individuals in EU to analyze the relationship between trust in various dimensions and COVID-19 vaccine hesitancy. We find that trust in science is negatively correlated, while trust in social media and the use of social media as the main source of information are positively associated with vaccine hesitancy. High trust in social media is found among adults aged 65+, financially distressed and unemployed individuals, and hesitancy is largely explained by conspiracy beliefs among them. Finally, we find that the temporary suspension of the AstraZeneca vaccine in March 2021 significantly increased vaccine hesitancy and especially among people with low trust in science, living in rural areas, females, and financially distressed. Our findings suggest that trust is a key determinant of vaccine hesitancy and that pro-vaccine campaigns could be successfully targeted toward groups at high risk of hesitancy.
Effects of Film Mulching and Irrigation on Biomass of Leaves, Roots and Tubers and Soil Nutrient Characteristics of Cyperus esculentus L.
Authors: Ding Ya , Zhang Zhihao , Li Li , Zeng Fanjiang 
Published: December 2022

Abstract
Aims To study the effect of drip irrigation mulching and the most suitable irrigation system for Cyperus esculentus L., and to provide a reference for the construction of a cultivation model for water-saving and high yield management of Cyperus esculentus.
Methods To study the effects of irrigation and mulching control on the nutrients and biomass of Cyperus esculentus, a combination of field and indoor experiments analyzed the film mulching (FM) and no film mulching (NFM) treatments and different irrigation treatments, CK (control, the common local irrigation of 5316.45 m3·ha-2), T1 (3431.40 m3·ha-2) and T2 (4133.85 m3·ha-2), and the correlation between soil and plant nutrient content and biomass.
Results The result showed that contents of soil organ carbon (SOC), soil total nitrogen (STN), and soil total phosphorus (STP) dropped layer by layer with soil depth increased, and film mulching reduced SOC, STN, and STP contents, and reaching maximum under the T2NFM treatment. T2NFM treatment significantly increased leaf total phosphorus (LTP) and root total nitrogen (RTN). The aboveground and underground biomass reached maximum under the T2FM treatment, followed by higher biomass under FM than the NFM treatment. According to correlation analysis that the biomass of Cyperus esculentus, soil and plant nutrient contents, and yield could be improved by changing the water and fertilizer supply.
Conclusion In conclusion, the region's soils are generally nitrogen-limited, therefore supplemental nitrogen fertilization is recommended for agricultural production. In addition, the irrigation of 4133.85 m3·ha-2 under the mulching condition not only improved yield but also saved water resources.
Intra-dialytic Blood Pressure Variability Is a Greater Predictor of Cardiovascular Events in Hemodialysis Patients
Authors: Liu Qixing , Wang Wei , Wu Xianglan , Lv Jiaxuan , Cai Shiming , Li Yuehong 
Published: December 2022

Abstract
Background
Short-term and long-term blood pressure variability (BPV) in hemodialysis (HD) population are risk factors of cardiovascular diseases (CVD) and all-cause mortality. There is no full consensus on the best BPV metric. We compared the prognostic role of intra-dialytic and visit-to-visit BPV metrics for CVD morbidity and all-cause mortality in HD patients.
Methods
A retrospective cohort of 120 patients on HD was followed up for 44 months. Systolic blood pressure (SBP) and baseline characteristics were collected for 3 months. We calculated intra-dialytic and visit-to-visit BPV metrics, including standard deviation (SD), coefficient of variation (CV), variability independent of the mean (VIM), average real variability (ARV) and residual. The primary outcomes were CVD events and all-cause mortality.
Results
In Cox regression analysis, both intra-dialytic and visit-to-visit BPV metrics were associated with increased CVD events (intra-dialytic CV: HR 1.70, 95% CI 1.28–2.27, p < 0.01; visit-to-visit CV: HR 1.55, 95% CI 1.12–2.16, p < 0.01). Intra-dialytic SD was associated with increased all-cause mortality (HR 1.35, 95% CI 1.01–2.04, P = 0.04). Overall, intra-dialytic BPV showed greater prognostic ability than visit-to-visit BPV for both CVD event (AUC of intra-dialytic BPV and visit-to-visit BPV metrics respectively: SD 0.686, 0.606; CV 0.672, 0.425; VIM 0.677, 0.581; ARV 0.684, 0.618; residual 0.652, 0.586) and all-cause mortality (SD 0.671, 0.608; CV 0.662, 0.575; VIM 0.669, 0.581; ARV 0.529, 0.588; residual 0.651, 0.602).
Conclusion
Compared to visit-to-visit BPV, intra-dialytic BPV is a greater predictor of CVD event and all-cause mortality in HD patients. No obvious priority was found among various BPV metrics.
Sarcopenia as a risk factor of progression-free survival in patients with metastases: a systematic review and meta-analysis
Authors: Zhou Meijun , Shen Xiangru , Fang Shuai , Wan Teng , Liu Pan , Li Peiling , Tan Haifeng , Fu Yong , Guo Weiming 
Published: December 2022

Abstract
Background
Metastasis of cancer causes more than 90% of cancer deaths and is severely damaging to human health. In recent years, several studies have linked sarcopenia to shorter survival in patients with metastatic cancer. Several predictive models exist to predict mortality in patients with metastatic cancer, but have reported limited accuracy.
Methods
We systematically searched PubMed, EMBASE, and the Cochrane Library for articles published on or before October 14, 2022. Pooled Hazard Ratio (HR) estimates with 95% confidence intervals (CIs) were calculated using a random effects model. The primary outcome was an increased risk of death or tumor progression in patients with metastatic cancer. In addition, we performed subgroup analyses and leave-one-out sensitivity analyses to explore the main sources of heterogeneity and the stability of the results.
Results
Sixteen retrospective cohort studies with 1,675 patients were included in the 888 papers screened. The results showed that sarcopenia was associated with lower progression-free survival (HR = 1.56, 95% CI = 1.19–2.03, I2 = 76.3%, P < 0.001). This result was further confirmed by trim-and-fill procedures and leave-one-out sensitivity analysis.
Conclusions
This study suggests that sarcopenia may be a risk factor for reduced progression-free survival in patients with metastatic cancer. Further studies are still needed to explain the reason for this high heterogeneity in outcome.
Trial Registration:
CRD42022325910
Using LCMS/ MS, new pomegranate molasses compounds were examined for their effects on anemia brought on by phenylhydrazine
Authors: Soliman Nabil Abbas Ahmed , Mansour Sherif Wajih , Ammar Mohammed Ahmed Mohamed , Hassan Noura Ahmed , Hamad Rehab , Ammar Mohamed 
Published: December 2022

Abstract
The ethanolic extract of pomegranate molasses was investigated for its impact on phenylhydrazine (PHZ)-induced anemia in male albino rats using LCMS/MS analysis to determine the phytoconstituents. When PHZ was administered,red cells (RBCs) decreased in count, hematocrit, haemoglobin concentration, and mean cell volume (MCV) were increased. Mean corpuscular haemoglobin (MCH) and concentration, as well as reticulocyte count, leukocyte count, and platelet count were the same results. PHZ also caused hyperbilirubinemia, an increase in erythropoietin, iron, lactate dehydrogenase, and malondialdehyde levels, as well as a decrease in the activity of the antioxidant enzymes and glucose-6-phosphate dehydrogenase (G6PD). Additionally, PHZ caused the splenic histopathology to deteriorate. The administration of molasses prior to PHZ provided protection against RBCs abnormalities, increased RBCs count, hematocrit, and haemoglobin concentration, and decreased MCH, leukocyte count, platelets count, and reticulocyte count. Additionally, the administration of molasses prior to PHZ decreased the levels of bilirubin, erythropoietin, iron, lactate dehydrogenase, and malondialdehyde and increased the activity of G6PD and antioxidant enzymes. In comparison to administration of PHZ alone, the administration of molasses before PHZ led to a modrest improvement in splenic histopathology. Finally, the pomegranate molasses ethanolic extract exhibits good protection against blood poisoning and anemia caused by PHZ and may be a promising choice for treating anemia-related disorders with a natural origin.
Mining of Gene Modules and Identification of Key Genes for early diagnosis of gastric cancer
Authors: Xu Ling , Sun Feipeng , Zhang Yu , Liu Xudong , Liu Zhe , Ma Ying , Wang Lei , Xing Feng 
Published: December 2022

AbstractBackground Gastric cancer (GC) is one of the most common malignant tumors with high incidence and mortality rates. Most patients with GC are not diagnosed until the advanced stage of cancer or during tumor screening, resulting in missing the best treatment time. Methods This study identified key modules and hub genes associated with GC by weighted gene co-expression network analysis (WGCNA). RNA sequencing profiles and clinical information data were downloaded from The Cancer Genome Atlas (TCGA). Compared with normal samples, the “limma” package in R was used to identify differentially expressed genes (DEGs) in GC samples. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to detect the related pathways and functions of DEGs. Gene modules associated with clinical characteristics were identified with WGCNA in tumor and normal samples. Hub genes of key modules were identified using survival and expression analysis. Finally, one-way ANOVA was used to explore the relationship between hub gene expression in normal tissues and different pathological stages of GC. Results A total of 4892 DEGs were screened. These DEGs were primarily associated with extracellular matrix organization, DNA replication, cell cycle, and p53 signaling pathway. Based on WGCNA, six gene modules were obtained, of which two modules were significantly correlated with GC. Through survival and expression analysis, a total of 19 genes with good prognosis and significantly different expression in tumor tissues (compared with normal tissues) were identified. There were significant differences in the expression levels of hub genes in normal tissues and different pathological stages of GC, indicating that these genes have important diagnostic value for early GC. Conclusions In this study, the expression levels of 19 hub genes were significantly different in different GC pathological stages from normal samples, indicating that these hub genes can be used as auxiliary indicators in the diagnosis of early GC.
Automatically Human Action Recognition (HAR) with View Variation from Skeleton Means of Adaptive Transformer Network
Authors: Mehmood Faisal , Chen Enqing , Akbar Muhammad Azeem , Khan Arif Ali , Abbas Touqeer 
Published: December 2022

Abstract
Human Action Recognition (HAR) using skeletons has become increasingly appealing to a growing number of researchers in recent years. It is particularly challenging to recognize actions when they are captured from different angles because there are so many variations in their representations. This paper proposes an automatic strategy for determining virtual observation viewpoints that are based on learning and data-driven to solve the problem of view variation throughout an act. Our VA-CNN and VA-RNN networks, which use convolutional and recurrent neural networks with the Long Short-term Memory (LSTM), offer an alternative to the conventional method of reorienting skeletons according to a human-defined earlier benchmark. Using the unique view adaption module, each network first identifies the best observation perspectives and then transforms the skeletons for end-to-end detection with the main classification network based on those viewpoints. Using the skeletons of different perspectives, the suggested view adaptive models can provide significantly more consistent virtual viewpoints. By removing views, the models allow networks to learn action-specific properties more efficiently. Furthermore, we developed a two-stream scheme (referred to as VA-fusion) that integrates the performance of two networks to obtain an improved prediction. Random rotation of skeletal sequences is used to avoid overfitting during training and improve the reliability of view adaption models. An extensive experiment demonstrates that our proposed view-adaptive networks outperform existing solutions on five challenging benchmarks.