bluuebunny/crossref_metadata_2025 huggingface dataset:
Primary Energy Consumption Structure and The Influencing Factors In China: An Income Decomposition and Post-Economic Crisis Era Perspective
Authors: Wang Ting , Liu Jianghua , Xu Yongqiang
Published: December 2021

China’s coal-based energy structure makes its carbon peak and neutrality goals very challenging. Therefore, the optimization of the energy structure has become an important means, and exploring its influencing factors and trends has become the basis and prerequisite for the formulation of policies related to the optimization of the energy structure. This study adopts regression methods considering heteroskedasticity and cross-section correlation to study the panel data of 30 provinces in China, and obtains the changes of relationship between the fossil and non-fossil fuels consumption of different regions and their influencing factors after two global financial crises. Research results show that, China's energy consumption tends to decouple from GDP. Income structure changes especially trade changes are important factors in influencing energy consumption and energy structure. The deviation of energy resources distribution and consumption distribution tends to strengthen. The impact of urbanization development models, energy prices and efficiency shows regional heteroskedasticity.
Recurrence and Prognosis in Intrahepatic Cholangiocarcinoma Patients with Different Etiology After Radical Resection: A Multi-Institutional Study
Authors: Li Qi , Chen Chen , Su Jingbo , Qiu Yinghe , Wu Hong , Song Tianqiang , Mao Xianhai , He Yu , Cheng Zhangjun , Li Jingdong , Zhai Wenlong , Zhang Dong , Geng Zhimin , Tang Zhaohui
Published: December 2021

Objective
We aimed to evaluate the prognosis and adjuvant chemotherapy (ACT) in intrahepatic cholangiocarcinoma (ICC) patients with different etiology after radical resection.
Methods
A total of 448 patients with ICC who underwent radical resection between 2010 and 2018 at ten Chinese tertiary hospitals were analyzed in the study. These patients were divided into conventional ICC (Con-ICC, n=261, 58.2%), hepatitis B virus ICC (HBV-ICC, n=102, 22.8%) and hepatolithiasis (Stone-ICC, n=85,19.0%) subtypes according to different etiology. Propensity score matching (PSM) was conducted to mitigate the baseline differences between related two subtypes.
Results
Univariate and multivariate analysis showed that different etiology was a prognostic factor for overall survival and relapse-free survival, and different etiology was an independent risk factor for overall survival in ICC patients, respectively (P<0.05). In addition, there was a statistical difference for overall survival in early recurrence patients among the three etiological subtypes (P<0.05). After PSM, the overall survival of patients with Stone-ICC was worse than those of Con-ICC and HBV-ICC subtypes (P<0.05), while the relapse-free survival of patients with Stone-ICC was equivalent to patients with Con-ICC and HBV-ICC (P>0.05). In Stone-ICC patients, the median overall survival was 16.0 months and 29.7 months, and the median relapse-free survival was 9.0 months and 20.0 months for non-ACT and ACT patients, respectively (P<0.05).
Conclusion
The prognosis of Stone-ICC patients was significantly worse than those of Con-ICC and HBV-ICC patients. Interestingly, postoperative adjuvant chemotherapy can improve the prognosis of Stone-ICC patients effectively.
A Systematic Visualization Review of Green Environment and Public Health for 2003-2019 Based on The Co-Citation Bibliometric Analysis Theory
Authors: Liu Yan , Koondhar Mansoor Ahmed , Ya Cheng , Khan Zaid Ashiq
Published: December 2021

Currently, the world is facing challenges of environmental pollution and public health owing to increasing urbanization. Therefore, many researchers from developed and developing countries are considering environmental pollution and public health to be the most important topics for sustainable development alongside a healthy and green environment. Although in the literature many researchers have investigated a pictorial view of green environment by defining the urban green space and blue space effects on public health, the green environments and public health research trend remains unclear. Thus, this study aimed to contribute to the literature by visualizing the bibliometric for green environments and public health, and to identify the missing research pathway. Data for this study was collected from the Web of Science from 2003-2019 in order to facilitate a visualization and bibliometric analysis carried out by CiteSpace. The visualization results reveal the most influential studies, institutions, authors, countries, keywords, and category cloud in the green environments and public health research field. Furthermore, this study suggests that researchers need to pay attention to how the genome changes due to climate change, as well as environmental pollution and its effect on human health. Mental health and research related to green environment and social health is also missing. In addition, there is also a missing link regarding green environment, underground water and public health. Additionally, this study could help authors and publishers make decisions concerning research on green environments and public health and planning for future perspectives to contribute to both academic development and applied methodology.
Risk Assessment of Runoff Generation Using Artificial Neural Network and Field Plots in The Area of Roads and Forest Lands
Authors: Dalir Pejman , Naghdi Ramin , Gholami Vahid , Tavankar Farzam , Latterini Francesco , Venanzi Rachele , Picchio Rodolfo
Published: December 2021

Runoff generation potential (RGP) on hillslopes is an important issue in the forest roads network monitoring process. In this study, the artificial neural network (ANN) was used to predict RGP in forest road hillslopes. We trained, optimized, and tested the ANN by using field plot data from the Shirghalaye watershed located in the southern part of the Caspian Sea (Iran). 45 plots were installed to measure actual runoff volume (RFP) in different environmental conditions including land cover, slope gradient, soil texture, and soil moisture. A multi-layer perceptron (MLP) network was implemented. The runoff volume was the output variable and the ground cover, slope gradient, initial moisture of soil, soil texture (clay, silt, and sand percentage) were the network inputs. The results showed that ANN can predict runoff volume within the values of an appropriate level in the training (R2=0.95, MSE= 0.009) and test stages (R2=0.80, MSE= 0.01). Moreover, the tested network was used to predict the runoff volume on the forest road hillslopes in the study area. Finally, an RGP map was generated based on the results of the prediction of the ANNs and the GIS capabilities. The results showed that using both an ANN and a GIS is a good tool to predict the RGP in the forest road hillslopes.
Characterization and Simulation of Metagenomic Nanopore Sequencing Data with Meta-NanoSim
Authors: Yang Chen , Lo Theodora , Nip Ka Ming , Hafezqorani Saber , Warren René L , Birol Inanc
Published: December 2021

Background: Nanopore sequencing is crucial to metagenomic studies as its kilobase-long reads can contribute to resolving genomic structural differences among microbes. However, sequencing platform-specific challenges, including high base-call error rate, non-uniform read lengths, and the presence of chimeric artifacts, necessitate specifically designed analytical tools, such as microbial abundance estimation and metagenome assembly algorithms. When developing and testing bioinformatics tools and pipelines, the use of simulated datasets with characteristics that are true to the sequencing platform under evaluation is a cost-effective way to provide a ground truth and assess the performance in a controlled environment. Results: Here, we present Meta-NanoSim, a fast and versatile utility that characterizes and simulates the unique properties of nanopore metagenomic reads. It improves upon state-of-the-art methods on microbial abundance estimation through a base-level quantification algorithm. Meta-NanoSim can simulate complex microbial communities composed of both linear and circular genomes, and can stream reference genomes from online servers directly. Simulated datasets showed high congruence with experimental data in terms of read length, error profiles, and abundance levels. We demonstrate that Meta-NanoSim simulated data can facilitate the development of metagenomic algorithms and guide experimental design through a metagenome assembly benchmarking task. Conclusions: The Meta-NanoSim characterization module investigates read features including chimeric information and abundance levels, while the simulation module simulates large and complex multi-sample microbial communities with different abundance profiles. All trained models and the software are freely accessible at Github: https://github.com/bcgsc/NanoSim .
Preoperative Diagnosis of Hepatocellular Carcinoma Patients with Bile Duct Tumor Thrombus using Deep Learning Method
Authors: Liu Jinming , Wu Jiayi , Liu Anran , Bai Yannan , Zhang Hong , Yan Maolin
Published: December 2021

Preoperative diagnosis of bile duct tumor thrombus (BDTT) is clinically important as the surgical prognosis of hepatocellular carcinoma (HCC) patients with BDTT is significantly different from that of patients without BDTT. The current diagnosis of BDTT is usually based on identifying dilated bile ducts (DBDs) on medical images (eg., CT and MRI images). However, it is easy for doctors to ignore DBDs when reporting imaging scan results, leading to a high misdiagnosis rate in practice. The aim of the present study was to develop an artificial intelligence (AI) pipeline for diagnosing HCC patients with BDTT using medical images. The proposed AI pipeline includes two stages. First, the object detection neural network Faster R-CNN is adopted to identify DBDs; then, an HCC patient is diagnosed to have BDTT if the proportion of images with at least one identified DBD exceeds some threshold value. The proposed AI pipeline was applied to a real dataset consisting of 2,611 CT images collected from 34 HCC patients (16 with BDTT and 18 without BDTT). The average true positive rate for identifying DBDs per patient was 0.92, while the patient-level true positive rate for diagnosing BDTT was 0.94. The area under ROC curve for patient-level diagnosis of BDTT was 0.92 (95% CI: 0.83, 1.00), compared with 0.71 (95% CI: 0.52, 0.89) by random forest based on preoperative clinical variables. These results demonstrated that the proposed AI pipeline is successful in the diagnosis of BDTT. The automatic detection of DBDs is a key step in early diagnosis of HCC patients with BDTT, and is helpful in the treatment and prognosis of these patients.
Analytical Study of ZnO-based HEMT for Power Switching
Authors: Kumar Pawan , Chaudhary Sumit , Khan Md Arif , Kumar Sanjay , Mukherjee Shaibal
Published: December 2021

We investigate the power switching mechanism to evaluate the power loss ( P D ) and efficiency ( η ) in MgZnO/ZnO (MZO)-based power high electron mobility transistor (HEMT), and physical parameters responsible for P D in molecular beam epitaxy (MBE) and dual ion beam sputtering (DIBS) grown MZO HEMT and compare the performance with the group III-nitride HEMTs. This work extensively probes all physical parameters such as two-dimensional electron gas (2DEG) density, mobility, switching frequency, and device dimension to study their impact on power switching in MZO HEMT. Results suggest that the MBE and DIBS grown MZO HEMT with the gate width ( W G ) of ∼ 205 and ∼ 280 mm at drain current coefficient (k) of 11 and 15, respectively, will achieve 99.96 and 99.95% of η and 9.03 and 12.53 W of P D , respectively. Moreover, W G value for DIBS-grown MZO HEMT is observed to further reduce in the range of 112-168 mm by using a Y 2 O 3 spacer layer leading to the maximum η in the range of 99.98-99.97% and the minimum P D in the range of 5-7 W. This work is significant for the development of cost-effective HEMTs for power switching applications.
Evaluation of Antioxidant Capacity and Antiproliferative Activity of Fruit Extract of Dry Figs (Ficus carica L.) on MDA MB-468 Cell Line
Authors: Maurya Anurag , Priyadarshini Eepsita , Rajamani Paulraj
Published: December 2021

Fig (Ficus carica L.; Hindi: Anjeer) is one of the the earliest domesticated fruit. Present study investigates its antiproliferative activity against breast cancer (MDA MB-468) cells. Dry figs were mascerated in sixteen solvent-combinations of varying polartiy and extracts were assessed for antiproliferative activity in vitro. Extracts of moderatly polar solvents, particularly 80% aqueous-methanol extract showed maximum activity (IC50 = 17.9 mg IDF/ml). Antiproliferative efficacy of extracts was supported by respective total phenolic content (41-236 mg GAE/100g) and various antioxidant capacities; ABTS (14-354 µM TE/g), DPPH (18-460 µM TE/g), FRAP (28.7-66.5 µM FeSO4 equivalents/g), ORAC (7.9-32.8 µM TE/g), and superoxide radical scavenging activity. Flow cytometry analysis revealed that extracts of lower IC50 induce more cell death. Phenolic compounds (cyanidin 3-O-glucoside, quercetin 3-β-glucoside, rutin, trans-cinnamic acid, ellagic acid and ferulic acid) were analysed by UPLC-PDA technique and their concentrations in extracts were found to be negatively correlated with respective IC50 values. The negative correlation suggests the involvement of phenolics in fig’s antiproliferative mechanism. Therefore, the study advocates fig as a dietary component having anticancer potential.
Development And Identification of 131 SNP Markers In Sthenoteuthis Pteropus (Steenstrup)
Authors: Zhao Yan , Wang Congcong , Liu Bilin , Li Gang , Xu Hao
Published: December 2021

The orangeback flying squid, Sthenoteuthis pteropus, is a species of significant potential value that is widely distributed in the tropical and temperate waters of the Atlantic Ocean. There have been no reports of the population genetics and effective molecular markers for this species due to a lack of reliable information regarding its genetic structure and its many individual differences, as well as its complex and changeable life history. Therefore, the development of auxiliary molecular markers would contribute to the development, sustainable utilization, and protection of the species. In this study, 131 novel single nucleotide polymorphism (SNP) markers were developed by double digest restriction-site associated DNA sequencing (dd-RAD). The observed heterozygosity (Ho) and expected heterozygosity (He) ranged from 0.00 to 0.80 and 0.18 to 0.50, respectively. The polymorphism information content (PIC) value ranged from 0.18 to 0.50. None of the marker locations significantly deviated from the Hardy-Weinberg equilibrium (p >0.05) after a Bonferroni correction. These polymorphic SNPs will be important in the further analysis of the population heredity of S. pteropus and its scientific management.
Molecular Investigation of Association Among Common IL-6 Polymorphism with Cytomegalovirus(CMV) Infection and Recurrent Miscarriage in Iranian Women
Authors: Ardakani Parisa Pourroostaei , Rahimi Bahareh , Panahi Mohammad , Karimian Babak , Rahimi Hamzeh
Published: December 2021

Background: Recurrent pregnancy loss (RPL) is described as two or more spontaneous abortions. Until now, although various factors such as genetic, endocrinology, anatomy, immunology, and microbiology have been distinguished that affect abortions, the precise basic etiology in up to 50% of RPL cases are not determined. Human cytomegalovirus (CMV) infection and host genetic background, like IL-6 SNP polymorphisms play important roles in RPL etiology. Objective: This study aimed to evaluate relationship among single nucleotide polymorphisms (-634C/G and -174 G/C) in the IL-6 gene with CMV infection and risk of RPL for early detection and treatment of RPL. Materials and methods: This case-control study was carried on 80 Iranian females with RPL and 80 healthy females as control group. The extraction of DNA from samples and detection of CMV and IL6 SNPs were determined by Tetra ARMS-PCR. Finally, the statistical analysis for detection CMV and two polymorphisms roles in RPL were analyzed by Epi Info TM software by X2 test. Results: Our results indicated an increased rate of CMV infection in RPL group (44%) versus the control group (25.45%). Also, the prevalence of IL-6 -634C/G genotype among RPL patients with CMV infection was 80%, while the frequency of this genotype among RPL patients without CMV infection was 50%. Furthermore, no substantial relation was found between IL-6 -174 G/C genotypes and RPL (P ≤0.0001). BesidesConclusion: This study not only indicated a significant role of CMV in RPL, but also showed CMV association with allele G in IL6 -634 among Iranian women. In addition, suggested the use of CMV and IL-6 -634 GG genotypes in RPL as diagnostic and prognostic biomarkers in Iranian population.
mTORC1 Signaling Pathway Mediated SIRT6 Overexpression in TGF-β1-Induced Pulmonary Fibrosis
Authors: Zhang Ji , Hu Yi , Huang Huiping , Liu Qun , Du Yang , Wang Guangdong , Gao Dehong , Guo Weixi , Wang Zhanxiang , Ma Aiping
Published: December 2021

Fibroblast-to-myofibroblast transdifferentiation and myofibroblast hyperproliferation play a major role in Idiopathic pulmonary fibrosis (IPF). It was also reported that mTOR signaling pathway and SIRT6 have a critical role in pulmonary fibrosis. However, the mechanisms whether mTOR signaling pathway and SIRT6 affect the myofibroblasts differentiation in IPF remain unclear. The results show that SIRT6 is significantly upregulated by TGF-β1 with a time and concentration-dependent manner in MRC5 line and primary lung fibroblasts isolated from IPF patients. SIRT6 protein is also increased in IPF fibrotic lung tissues and bleomycin-challenged mice lung tissues. Also, the activity of mTOR signaling is activated in MRC5 and primary lung fibroblasts. Furthermore, the inhibitor of mTOR, rapamycin treatment significantly suppress mTORC1 pathway activity and SIRT6 protein expression. SIRT6 siRNA failed to mediate the activity of mTORC1 pathway and autophagy induction. Finally, deficiency of SIRT6 could promote TGF-β1 induced pro-fibrotic cytokines. In summary, the study have suggested that SIRT6 is a downstream of mTORC1 signaling pathway in the pulmonary fibrosis caused by TGF-β1-induced. Deficiency of SIRT6 mediated myofibroblasts differentiation through induced pro-fibrotic cytokines production but not induced-autophagy. It was indicated that manipulations of SIRT6 expression may provide a new therapeutic strategy to reverse the progression of pulmonary fibrosis.
Incidence And Predictors of Relapse After Stopping Antiviral Therapy In Pediatric Chronic Hepatitis B
Authors: Upadhyay Piyush , Lal Bikrant Bihari , Sood Vikrant , Khanna Rajeev , Gupta Ekta , Rastogi Archana , Alam Seema
Published: December 2021

Objective: The objective was to evaluate the incidence of relapse after stopping antiviral therapy and to identify the predictors of relapse. Methods: All HBsAg positive children with who had been on antivirals for at least 2 years with undetectable HBV-DNA and normal alanine-aminotransferase (ALT) on three consecutive occasions over last 12 months were included. Antivirals were stopped if liver biopsy showed histological activity index <5 and fibrosis (metavir) <3. Children were monitored for virological relapse (elevation of HBV-DNA >2000 IU/mL) and biochemical relapse (ALT levels >2 × upper limit of normal (ULN)). Those having biochemical relapse were started on pegylated interferon alpha-2b based sequential therapy. Results: Antivirals were stopped in 31 HBsAg positive children. Virological and biochemical relapse was seen in 12 (38.7%) and 5 (16.1%) children within 12 months of stopping antiviral treatment. Majority of virological relapse occurred within a month and biochemical relapses within 6 months of stopping therapy. HBeAg positive status at the time of stopping antiviral therapy (HR: 7.206, p =0.005) and longer time taken for HBV-DNA to become undetectable while on antivirals (HR: 1.030, p=0.037) were found to be the 2 independent predictors of relapse after stopping antiviral treatment. Conclusion: Discontinuation of antiviral treatment in children with CHB resulted in relapse in one third of the patients. Relapse was more common in those with HBeAg positivity at the time of stopping therapy and in those with longer time taken for HBV-DNA to become undetectable on antivirals.
Modifiable Risk Factors for Incident Dementia and Cognitive Impairment: An Umbrella Review of Evidence
Authors: Zhang Yaru , Xu Wei , Zhang Wei , Wang Hui-Fu , Ou Ya-Nan , Qu Yi , Shen Xue-Ning , Chen Shi-Dong , Wu Kai-Min , Zhao Qian-Hua , Zhang Hai-Ning , Sun Li , Dong Qiang , Tan Lan , Feng Lei , Zhang Can , Evangelou Evangelos , Smith A David , Yu Jin-Tai
Published: December 2021

Dementia and cognitive impairment can be attributed to both genetic and modifiable risk factors. Recently, considerable evidence emerged and urgently require standardized evaluation. To address it, we conducted an umbrella review of prospective studies regarding the associations of dementia and cognitive impairment with modifiable factors to evaluate the strength and validity of the existing evidence. We searched PubMed, Embase, CINAHL and Cochrane Database of Systematic Reviews to identify relevant systematic reviews and meta-analyses of prospective studies. Mendelian randomization studies were reviewed to assess the causality for these associations. For each association, we analyzed the summary effect size, 95% confidence interval, 95% prediction interval, heterogeneity, small study effect and excess significance bias. Based on these estimates, the evidence was graded into levels of convincing, highly suggestive, suggestive, or weak. In total, 12015 articles were identified, of which 118 eligible studies yielded 243 unique associations. Convincing evidence was found for associations of dementia and cognitive impairment with early-life education, midlife to late-life plasma glucose, body mass index, atrial fibrillation, benzodiazepine use, and gait speed. Suggestive to highly suggestive evidence was found for associations of dementia and cognitive impairment with midlife to late-life blood pressure, homocysteine, cerebrovascular diseases, hearing impairment, respiratory illness, anemia, smoking, alcohol consumption, diet, sleep, physical activity and social engagement. Among convincing evidence, Mendelian randomization studies verified genetic predicted causal relationships for education and plasma glucose with Alzheimer's disease. Modifiable factors identified in this study, especially those with high-level evidence, should be considered in dementia prevention. Trial registration: PROSPERO CRD42020195729.
Intrinsic Network Brain Dysfunction Correlates With Temporal Complexity in Post-traumatic Stress Disorder
Authors: Dai Yingliang , Zhou Zhou , Chen Feng , Zhang Li , Ke Jun , Qi Rongfeng , Lu Guangming , Zhong Yuan
Published: December 2021

BackgroundResearch has been looking into neural pathophysiology of post-traumatic stress disorder (PTSD) and dynamic functioning connectivity (dFC) applying resting state functional magnetic resonance imaging (rs-fMRI). Previous studies showed that PTSD related impairments are associated with alterations distributed across different brain regions and disorganized functional connectivity, especially in Default Mode Network and the cerebellar area. In this study, we specifically looked into dFC on a whole brain level, and we focused on critical regions such as DMN and cerebellum. MethodsTo explore the characteristics of dFC among patients with PTSD, we collected rs-fMRI data from 27 PTSD patients and 30 healthy controls. The study also added a control group of 33 trauma-exposed individuals to further look into trauma impact. Utilizing group spatial independent component analysis (ICA), the dynamic properties on whole brain level were detected with sliding time window approach, and k-means clustering. ResultsTwo reoccurring FC “States” were identified, with connections being more concentrated on a within-network level in one state and more strongly inter-connected in the other state. Abnormalities in dFC were found within DMN, between DMN and cerebellum, and between DMN and visual network. ConclusionsThe findings were in accordance with the study hypothesis that PTSD patients demonstrated deficits in emotional modulation and dysfunctional self-referential thoughts, and the deficits could be indicated in dFC alterations. Abnormalities in dFC among PTSD patients could serve as appropriate indicators of PTSD symptoms including depression and anxiety, hypervigilance, as well as impaired cognitive functioning and self-referential information processing.
How Sensitive Global Observables are to the Event Topology in Heavy-ion Collisions at the Large Hadron Collider: A Case Study
Authors: Prasad Suraj , Mallick Neelkamal , Behera Debadatta , Sahoo Raghunath , Tripathy Sushanta
Published: December 2021

Particle production and event topology are very strongly correlated in high-energy hadronic and nuclear collisions. Event topology is decided by the underlying particle production dynamics and medium effects. Transverse spherocity is an event shape observable, which has been used in pp and heavy-ion collisions to separate the events based on their geometrical shapes. It has the unique capability to distinguish between jetty and isotropic events. In this work, we have implemented transverse spherocity in Pb-Pb collisions at √ sNN = 5.02 TeV using A Multi-Phase Transport Model (AMPT). While awaiting for experimental explorations, we perform a feasibility study of dependence of transverse spherocity on some of the global observables in heavy-ion collisions at the Large Hadron Collider energies. These global observables include the Bjorken energy density (εBj), speed of sound (cs2) in the medium and the kinetic freeze-out properties for different collision centralities. The present study reveals about the usefulness of event topology dependent measurements in heavy-ion collisions in contrast to proton-proton collisions.
Time To Discharge and Its Predictors Among Admitted Patients in Felege Hiwot Comprehensive Specialized Hospital North-West Ethiopia, a Prospective Cohort Study
Authors: Orcho Afework , Keleb Gebretsadik , Getnet Tewodros
Published: December 2021

Background

Hospital long stay is a serious social and economic problem, leading to elevated medical expenses, increased workload, and financial burden. Patients’ discharge time was different in admitted patients in hospitals. In Ethiopia, there was limited evidence why the patients' length of stay is different in roughly the same condition.
Objective

This study aimed to determine a time to discharge and its predictors among admissions in Felege Hiwot Hospital in Bahir Dar, Northwest Ethiopia, 2020 G.C
Methods

Prospective cohort study was conducted among 812 systematically selected study participants. The data collected using standardized questionary was entered into EPI DATA and exported into STATA for analysis. Appropriate descriptive statistics were stated. Incidence density to estimate time to discharge, and life table and Kaplan Meier curve to determine the cumulative survival of patients in the wards were used. Cox proportional hazard (Weibull) model was used to examine predictors of discharge. Variables from bivariate analysis with p<0.25 were a candidate for the final model. Adjusted Hazard Ratio with their 95% CI at p<0.05 was used to predict discharge. Model fitness was checked.
Results

A total of 812 admitted patients participated in the study giving a total response rate of 95%. Fifty-five presents were females; the median age was 32. The total times at admission wards in medical were 1827and in surgical 2050 days. The incidence densities of discharge in medical and surgical wards were 361/1827 and 359/2050-person days respectively. The median time to discharge of all participant admission was four days. Predictors of discharge were age (AHR 1.04(95% CI 1,02-1.06)), family care (AHR .69(.51-.94)), admission source (AHR 2.07(1.39-2.90)), admission time (AHR .57(.49-.67)). Lab.-result delay (AHR .67(.55-.81)), radiological result delay (AHR .78 (.64-.95)), presence of comorbidity (AHR.50(.42-.60)), disease burden group (AHR 2.15(1.84-2.66)), specialty (AHR 0.66 (0.56-0.78)), nurse-to-patient ratio (AHR 1.95 (1.57-2.43)), and medication adherence (AHR 2.83(2.29-3.51).
Conclusion

Surgical admitted patients discharged in longer time than medical. It is important to emphasize good communication of respective specialties on the lab. and radiology result test waiting time and also teaching the benefit of medication adherence to the patients.
Toxicity Evaluation of Choline Ionic Liquid-Based Nanocarriers of Pharmaceutical Agent For Lung Treatment With Extra Antitumor Activity
Authors: Niesyto Katarzyna , Skonieczna Magdalena , Adamiec-Organisciok Malgorzata , Neugebauer Dorota
Published: December 2021

In vitro cytotoxicity evaluation of linear copolymer (LC) containing choline ionic liquid units and its conjugates with an antibacterial drug in anionic form, i.e. p-aminosalicylate (LC_PAS), clavulanate (LC_CLV), or piperacillin (LC_PIP) was carried out. These systems were tested against normal: human bronchial epithelial cells (BEAS-2B), and cancers: adenocarcinoma human alveolar basal epithelial cells (A549), and human non-small cell lung carcinoma cell line (H1299). Cells viability, after linear copolymer LC and their conjugates addition for 72 hours, was measured at concentrations range of 3.125‑100 μg/mL. The MTT test allowed the designation of IC50 index, which was higher for BEAS-2B, and significantly lower in the case of cancer cell lines. The cytometric analyzes, i.e. Annexin-V FITC apoptosis assay and cell cycle analysis as well as gene expression measurements for interleukins IL6 and IL8 were carried out, and showed pro-inflammatory activity of tested compounds towards cancer cells, while it was not observed against normal cell line. In summary, the anticancer property of linear copolymers with antibacterial drugs was shown.
Species Composition, Abundance and Population Structure of Malaria Vectors in Two Villages of Sudan
Authors: Mustafa Mashair Sir El Khatim , Jaal Zairi , Kashawa Sumia Abu , Nor Siti Azizah Mohd
Published: December 2021

BackgroundFrequent monitoring of mosquito vector population is a strategy of great importance for reducing risks of disease occurrence. In Sudan, malaria is still a big threat to public health. Insecticide-based control has been undertaken for years, but there is no noticeable decrease of malaria infection nationwide.ObjectiveTo overcome this situation, a better understanding of the breeding ecology of the vectors is relevant. Here, we investigate the species composition of malaria vectors, seasonal abundance and population structure in two different villages.MethodologyMonthly samplings were performed in Abu Algoni (Sennar State) and Algerif West (Khartoum State) from June 2010 to May 2011. During each visit, immature stages were collected from potential breeding sites using dipping technique. In addition, adults were collected indoors from houses by aspiration and indoor pyrethrum spray methods. Mosquitoes were identified morphologically, the Anopheles gambiae complex diagnosed using PCR and the physiological status of females determined based on appropriate techniques. Environmental parameters namely temperature, rainfall and humidity were measured.ResultsA total of 4,932 mosquitoes comprising of 3047 larvae and 1885 adults (males and females combined) were sampled. Of these, 88.9% were collected from Abu Algoni while 11.1% were from Algerif West. Two species, An. rufipes and An. arabiensis were encountered. Anopheles rufipes was only found in Abu Algoni, while the latter was found in both villages, where it represented more than 99% of the total collection.Mosquitoes were found breeding in many types of places including canals, temporary pools of water, animal hooves, water from broken pipes, and water storage containers. No significant correlation was found between female and temperature (p>0.05). Significant correlation difference was observed between number of females of An. arabiensis and rainfall (p<0.05) and humidity (p<0.01).ConclusionsAnopheles arabiensis is the only member of An. gambiae complex detected in the present study. Seasonal abundance of An. arabiensis was observed with most during the wet rainy season in both villages. This could be associated with the availability of more breeding sites created by the rainfall. The majority were parous which indicates high survival rates and thus high vectorial capacity in transmitting malaria.
Relationship Between Injured Cingulum and Impaired Consciousness in Patients with Hypoxic-Ischemic Brain Injury
Authors: Jang SungHO , SEO YOUSUNG
Published: December 2021

Objectives
We investigated the relationship between cingulum injury and impaired consciousness in patients with hypoxic-ischemic brain injury (HI-BI) by using diffusion tensor tractography (DTT).
Methods
We recruited 29 patients with HI-BI and 25 normal control subjects. The patients were classified as intact consciousness (group A, 13 patients) or impaired consciousness (group B, 16 patients). The DTT parameters of fractional anisotropy (FA) and tract volume (TV) were estimated for both cinguli. Glasgow Coma Scale (GCS) and Coma Recovery Scale-Revised (CRS-R) scores were also evaluated.
Results
The FA and TV values of the cinguli in groups A and B were lower than those of the control group (p < 0.05), and the FA and TV values of group B were lower than those of group A (p < 0.05). The FA and TV values of the cinguli in group A were not significantly correlated with GCS and CRS-R scores (p > 0.05); however, regarding the group B, the FA correlations with GCS (r = 0.457, p < 0.05) and CRS-R (r = 0.494, p < 0.05) and those of TV with GCS (r = 0.500, p < 0.05) and CRS-R (r = 0.491, p < 0.05) were moderately positive.
Conclusions
We found a significant relationship between injury of the cingulum and impaired consciousness in patients with HI-BI. Our results suggest that an injured cingulum could be an appropriate target for neurointervention or neurorehabilitation in patients with impaired consciousness following HI-BI.
Epidemiology of Pathological Online Games Use and Its Effect on Anxiety and Insomnia in Chinese Ethnic Minorities Adolescents
Authors: Wei Qiaoyue , Zhang Shengjie , Pan Yuli , Hu Hong , Chen Fenglan , Yin Wenwen , Lin Qinghong , Pan Shuibo , Tham Chingyuan , Wu Junduan
Published: December 2021

Background: The growing popularity and frequency of online games use has resulted in a large number of studies reporting various mental problems associated with its abuse in adolescents. In this article, we examined the prevalence of pathological online games use (POGU) and explored the associations of the POGU with anxiety and insomnia symptoms with minority youth in China.Methods: 1494 students completed a questionnaire of Problematic Online Gaming Questionnaire Short-Form (POGQ-SF), Generalized Anxiety Condition iems (GAD-7), and the Athens Insomnia Scale (AIS). Chi-square and binary logistic regression analysis were used to explore the association between pathological online games and anxiety/insomnia. Results: 356 (23.83%) respondents reported they had pathological online games use. Chi-square analysis shows that gender, grade, marital status of parents and exercise situation were significantly associated with POGU. Binary logistic regression analysis showed that those who had POGU were at significantly higher risk for anxiety and insomnia, compared to those who without POGU.Conclusion: We found a high incidence of POGU and a positive association among anxiety, insomnia and POGU. Thus, special focus should be paid to those who have suffered POGU. And, it is worth addressing the adverse effects of POGU on anxiety and insomnia.
High-Throughput Muscle Fiber Typing From RNA Sequencing Data
Authors: Oskolkov Nikolay , Santel Malgorzata , Ekström Ola , Camp Gray J. , Miyamoto-Mikami Eri , Ström Kristoffer , Parikh Hemang M. , Mir Bilal , Kryvokhyzha Dmytro , Lehtovirta Mikko , Kobayashi Hiroyuki , Kakigi Ryo , Naito Hisashi , Eriksson Karl-Fredrik , Nystedt Björn , Fuku Noriyuki , Treutlein Barbara , Pääbo Svante , Hansson Ola
Published: December 2021

BACKGROUND: Skeletal muscle fiber type distribution has implications for human health, muscle function and performance. This knowledge has been gathered using labor-intensive and costly methodology that limited these studies. Here we present a method based on muscle tissue RNA sequencing data (totRNAseq) to estimate the distribution of skeletal muscle fiber types from frozen human samples, allowing for a larger number of individuals to be tested.METHODS: By using single-nuclei RNA sequencing (snRNAseq) data as a reference, cluster expression signatures were produced by averaging gene expression of cluster gene markers and then applying these to totRNAseq data and inferring muscle fiber nuclei type via linear matrix decomposition. This estimate was then compared with fiber type distribution measured by ATPase staining or myosin heavy chain protein isoform distribution of 62 muscle samples in two independent cohorts (n = 39 and 22).RESULTS: The correlation between the sequencing-based method and the other two were rATPas = 0.65 [0.46 – 0.84], [95% CI] and rmyosin = 0.80 [0.71 – 0.89], with p = 7.96 x 10-6 and 8.06 x 10-6 respectively. The deconvolution inference of fiber type composition was accurate even for very low totRNAseq sequencing depths, i.e., down to an average of ~5.000 paired-end reads.CONCLUSIONS: This new method (https://github.com/OlaHanssonLab/PredictFiberType) consequently allows for measurement of fiber type distribution of a larger number of samples using totRNAseq in a cost and labor-efficient way. For the first time, it is now feasible to study the association between fiber type distribution and e.g. health outcomes in large well-powered studies.
PARTNER-MH, a Peer-Led Patient Navigation Intervention for Racial and Ethnic Minority Veterans in Veterans Health Administration (VHA) Mental Health Services: A Mixed-Methods Randomized Controlled Feasibility Trial Study Protocol
Authors: Eliacin Johanne , Burgess Diana J. , Rollins Angela L. , Patterson Scott , Damush Teresa , Bair Matthew J. , Salyers Michelle P. , Slaven James E. , O’Connor Caitlin E. , Walker Kiara , Akins John , Miller James , Matthias Marianne S.
Published: December 2021

Background: Mental healthcare disparities are persistent and have increased in recent years. Compared to their White counterparts, racial and ethnic minority groups have less access to mental healthcare. Minority groups also have lower engagement in mental health treatment and are more likely to experience ineffective patient-provider communication, which contribute to negative mental healthcare experiences and poor mental health outcomes. Interventions that embrace recovery-oriented practices to support patient engagement and empower patients to participate in their mental healthcare and treatment decisions may help to reduce mental healthcare disparities. Designed to achieve this goal, PARTNER-MH is a peer-led, patient navigation intervention that aims to engage minority patients in mental health treatment, support them to take a greater role in their care, and facilitate their participation in treatment shared decision-making. Methods: This pilot study evaluates the feasibility and acceptability of PARTNER-MH in a VHA mental health setting using a mixed-methods, randomized controlled trial study design. PARTNER-MH is tested under real-world conditions, using certified VHA peer support specialists (peers), selected via usual VHA hiring practices and assigned to the mental health service. The peers provide PARTNER-MH and usual peer support services. The study compares the impact of PARTNER-MH versus a wait-list control group on patient activation, patient engagement, and shared decision-making, as well as other patient-level outcomes. PARTNER-MH also examines organizational factors that could impact its future implementation in VHA settings. Results: Participants (N=50) were veterans who were mostly male (62%), self-identified as non-Hispanic Black (70%), with a median age in the 45-54 group. Most had at least some college education, and 32% completed 4 or more years of college. Randomization produced comparable groups in terms of characteristics and outcome measures at baseline, except for gender. Discussion and Conclusion: Rather than simply documenting health disparities among vulnerable populations, PARTNER-MH offers opportunities to evaluate a tailored, culturally-sensitive system-based intervention to improve patient engagement and patient-provider communication in mental healthcare for racial and ethnic minorities. IRB Protocol #1708628270Trial registration: ClinicalTrials.gov, NCT04515771. Registered 14 August 2020, https://clinicaltrials.gov/ct2/show/NCT04515771
Research and Application of Precision Fertilizer Application Algorithm Based on PSO Optimized Fuzzy PID Control
Authors: Fu Changxin , Lixin Zhang , Xiao Ma
Published: December 2021

In irrigation’s process and fertilizer application in production of agriculture, the accuracy of fertilizer application and water maintains at a relatively low level, which results in waste of soil slabbing and resources. In this research, a fuzzy PID algorithm based on PSO optimization is designed to control the fertilizer application process and irrigation of the fertilizer applicator. Firstly, a mathematical model of the fertilizer applicator is established according to the relevant modules and corresponding parameters. Based on the MATLAB/Simulink platform, the PID controller, the fuzzy PID controller and the controller proposed in this article are constructed respectively, which can be applied to the established transfer functions. The simulation outcomes demonstrate that the response time of the control algorithm proposed in this research is shortened to 30s, compared to fuzzy PID and PID, which is 62.5% and 50% shorter respectively, and the overshoot of the control algorithm in this article is nearly 0 of apart from the early oscillation. In order to verify the algorithm’s reliability in practical application, this research designs groups of different pressure for the accuracy control test, the test consequences illustrate that the fuzzy PID control based on PSO optimization has excellent control effect under each pressure. The control accuracy is concentrated at around 2%, while PID control maintains around 20% and fuzzy PID control distributed at 10%.The results show that the control algorithm proposed in this research enhances the irrigation accuracy in the practical application process.
Primary Central Nervous System Lymphoma High Incidence And Poor Survival In Finnish Population-Based Analysis
Authors: Puhakka Inka , Kuitunen Hanne , Jäkälä Pekka , Sonkajärvi Eila , Turpeenniemi-Hujanen Taina , Rönkä Aino , Selander Tuomas , Korhonen Miika , Kuittinen Outi
Published: December 2021

Background: We report here the first population-based incidence rates and prognosis of primary central nervous system lymphoma (PCNSL) in Finland. Methods: Finnish Cancer Registry data by histological diagnosis and tumor location (2007-2017) for cases with diffuse large B-cell lymphoma.Results: During 2007–2017, 392 new cases of PCNSL were reported (195 males, 197 females). The average age-adjusted incidence was 0.68/100.000 person-years. Incidence for males was 0.74/100.000 and for females 0.63/100.000, respectively. The incidence was highest, 2.93/100.000, among people aged 75–79 years. Concerning all cases in 2007-2017 the 2-year age-adjusted relative survival rate was 35% and the corresponding 5-year survival rate was 28%. Among patients under the age of 70, the age-adjusted 5-year relative survival rate increased from 36% in 2007-2012 to 43% for 2013-2017. Among patients aged 70+ the corresponding survival rates were poor, 7% and 9%.Conclusions: PCNSL incidence in Finland is among the highest reported in the world. The annual increase in incidence was 2.4%. The prognosis is still dismal, especially in elderly patients.
Tumor-Associated Macrophages of the M1/ M2 Phenotype are Involved in the Regulation of Malignant Biological Behavior of Breast Cancer Cells Through the EMT Pathway
Authors: Chen zhuo , Wu jing , Wang liang , Zhao hua , He jie
Published: December 2021

Triple negative breast cancer (TNBC) is the most aggressive subtype of breast cancer. More and more studies have shown that the tumor immune microenvironment (TME) of TNBC is closely related to its poor prognosis and early metastasis. We try to explain how tumor-associate macrophages (TAMs）, an important component of the TME, function in the matrix of TNBC. Therefore, we induced THP-1 cells to become M1-TAMs and M2-TAMs, investigated their influence on breast cancer cells. 82 TNBC paraffin samples were made into tissue microarrays. The expression of macrophages makers were measured by immunohistochemistry. Scratch assay, Transwell assay, CCK-8 cell proliferation assay were performed in the co-culture system of breast cancer cells lines and macrophages to observe the invasion and proliferation ability of breast cancer cell lines. Western Blot (WB) was performed to detect the expression of E-cadherin (CDH1) and N-cadherin (CDH2). M2-TAMs were more numerous than M1-TAMs in the matrix of TNBC cancer nests and associated with poor prognosis. M2-TAMs promoted the invasion, migration and proliferation of TNBC cells. M1-TAMs had inhibitory effects. In MCF-7 cells, WB showed a decrease in CDH1 and an increase in CDH2. In MDA-MB-231 cells and BT549 cells, CDH2 expression was reduced and CDH1 expression was increased. All of the above results were statistically significant, p < 0.001. M2-TAMs were more numerous in TNBC and associated with poor prognosis. M2-TAMs promoted the invasion, migration and proliferation of breast cancer cells. The mechanism may be related to the epithelial-mesenchymal transition (EMT).
Differential Proteomic Analysis of the Spinal Cord in Bone Cancer Pain Rats by Two-Dimensional Gel Electrophoresis
Authors: Peng Minjing , Wu Yanqiong , Su Shanchun , Wan Shengjun , Zhou Lingyu , Jia Yifu , Li Xiaohui , Xu Xueqin , Gao Yan , Ke Changbin
Published: December 2021

Background: Bone cancer pain (BCP) is a common chronic pain that is caused by a primary or metastatic bone tumor. It is refractory to currently available clinical treatment owing to its complicated underlying mechanisms. Methods: In this study, we used proteomics approaches to investigate expressional changes of the rat spinal cord proteome from 7 to 21 d after inoculation. Proteins from the rat L4-6 spinal cord homogenates of BCP and Sham animals were fractionated by two-dimensional (2-DE) gel electrophoresis to produce a high-resolution map of the spinal cord soluble proteins. Proteins showing altered expression levels between BCP and Sham were selected. Results: A total of 60 spots were obtained, and isolated proteins were in-gel trypsin-digested and the resulting peptides were analyzed by matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry. Using the mass spectrometric data, 34 differentially expressed proteins (DEPs) were identified. GO analysis of the identified proteins allowed us to explore the function of the represented proteins. Conclusions: Based on these results, the identified proteins may contribute to the maintenance of BCP, and may provided new or valuable information in the discovery of new therapeutic targets for BCP.