bluuebunny/crossref_metadata_2025_split huggingface dataset:
Energy and exergy assessments of a large grid-connected PV installation under desert climatic conditions
Authors: Aoun Nouar 
Published: April 2023

Abstract
An energetic and exergetic analysis of a 20 MW photovoltaic grid-connected plant installed harsh climate was presented. It found that the annual energy produced was 35892.2 MWh, close to the expected theoretical value. The performance ratio and energy efficiency are 71.71% and 10.82%, respectively. The exergy efficiency and thermal exergy were 4.96% and 5.32 MW, respectively. The increase in thermal exergy loss has the highest effect on the decrease in exergy efficiency values. Similarly, solar radiation is the most influential environmental parameter on thermal exergy loss, with a determination coefficient of 80%.This study conducts a performance analysis of a 20 MW grid-connected PV plant in desert climatic conditions. Energetic and exergetic analyses of the PV plant have been performed. The annual average energy efficiency of subsystems 1 and 2 and the PV plant are 10.95%, 10.69% and 10.82%, respectively. The annual monthly average exergy efficiency and thermal exergy were 4.96% and 5.32 MW, respectively. The decrease in exergy efficiency values was matched by an increase in the values of thermal exergy loss, solar radiation, wind speed, and ambient temperature, where the thermal exergy loss has the highest effect. Similarly, solar radiation is the most influential environmental parameter on thermal exergy loss, with a determination coefficient of 80%.
AlphaCluster: Coevolutionary driven residue-residue interaction models enable quantifiable clustering analysis of de novo variants to enhance predictions of pathogenicity
Authors: Obiajulu Joseph , Kuang Ranger , He Lesi , Zhong Guoije , Hagen Jake , Shu Chang , Chung Wendy , Shen Yufeng 
Published: April 2023

Abstract
Missense variants have highly variable effects and effect size, which often makes it challenging to distinguish pathogenic and non-pathogenic variants and subsequently implicate new genes for disease association in studies of de novo and inherited rare variants. Importantly, missense variants can be the sole molecular mechanism for some genetic disorders, and so statistical approaches tailored for the analysis of missense variants are critical. Analysis of the clustering of missense variants is a promising approach which leverages the fact that missense variants in protein domains often have similar effects on function. Here we describe a new clustering analysis approach, AlphaCluster, a statistical method which quantifiably analyzes the spatial clustering of de novo variants by mapping missense residues onto the protein tertiary structure. We show that our approach can quantify the evidence supporting pathogenic missense variants and increase the power to detect clustering when compared to available genomic clustering tools. Using AlphaCluster, we identified genes newly implicated in autism spectrum disorder and neurodevelopmental disorders (NDD). We also apply AlphaCluster to protein complexes and detect an association between the gamma aminobutyric acid receptor complex (GABA-A 𝛼1𝛽2𝛾2 receptor).
Consenso de expertos colombianos sobre recomendaciones basadas en evidencia para el diagnóstico, tratamiento y seguimiento del raquitismo hipofosfatémico ligado al cromosoma X (RHLX)
Authors: Aguilera Juan Guillermo Cárdenas , Orjuela Adriana Medina , Meza Adriana Isabel , Prieto Juan Carlos , Bahamón Ana María Zarante , Mosquera Jimena Adriana Cáceres , Gaviria Natalia Mejía , Gayubo Ana Katherina Serrano , Rodriguez Richard Baquero , Acevedo Kelly Chacón , Tinoco Gustavo Adolfo Guerrero , Rios Alejandro Uribe , Rueda María Fernanda García , Londoño Verónica Abad , Almanza Sergio Alejandro Nossa , Martínez Gustavo Aroca , González Alejandro Román , Cáceres Jorge Alberto Endo , Linares Juan Pablo Llano , Valdes Pablo Florenzano , Curiel Manuel Diaz , Vaisbich María Helena , Zanchetta María Belen , Hernández Norma Elizabeth Guerra , Stefano Eduardo Enrique , Brunetto Oscar 
Published: April 2023

Abstract
Background: X-linked hypophosphatemic rickets is a hereditary disease that generates alterations in bone mineral homeostasis. The morbidity of the condition has been variable in previous decades and even contradictory, probably due to the definition of the case and the diagnostic confirmation. Our propose was to generate evidence-informed recommendations for the diagnosis, treatment, and follow-up of patients with suspected or diagnosed XLHR.
Results: After the screening and selection process for 1041 documents, 38 were included to answer the questions raised by the developer group. 97 recommendations about the diagnosis, treatment, and follow-up of patients with suspected or diagnosed XLHR were approved by the experts consulted through modified Delphi consensus. The quality of the evidence was low.
Conclusions: The recommendations proposed here will allow early and timely diagnosis of X-linked hypophosphatemic rickets, while optimizing resources for its treatment and follow-up and help clarify the burden of disease and improve health outcomes for this population.
The ratio of monocyte count and high-density lipoprotein cholesterol mediates the association between urinary tungsten and cardiovascular disease: A study from NHANES 2005-2018
Authors: Wu Yudong , Meng Yajie , Yi Weizhuo , Pan Rubing , Liang Yunfeng , Li Yuxuan , Jin Xiaoyu , Sun Xiaoni , Yan Shuangshuang , Mei Lu , Song Jian , Song Shasha , Cheng Jian , Su Hong 
Published: April 2023

Abstract
Tungsten (W) is an emerging contaminant that can damage multiple systems in humans. However, studies of its effects on cardiovascular disease (CVD) are limited. The monocyte count to High-density lipoprotein cholesterol ratio (MHR) is a composite inflammatory index of great concern in recent years, derived from lipid and cell inflammation parameters, that is used to indicate the risk of CVD. This study aimed to investigate the association between urinary W and CVD in the general population and compare the mediating effects of lipids, cell inflammatory parameters, and MHR to find a better target for intervention. We analyzed data from 9137 (≥ 20 years) participants in the National Health and Nutrition Examination Survey (NHANES), from 2005 to 2018. Restricted cubic splines (RCS) and survey-weighted generalized linear models (SWGLM) were used to assess the relationship between W and CVD. Mediated analyses were used to explore lipids, cell inflammatory parameters, and MHR in the possible mediating pathways between W and CVD. In SWGLM, we found that W enhances the risk of CVD, especially congestive heart failure (CHF), coronary heart disease (CHD), and angina pectoris (AP). Women, higher age groups (≥ 55 years), and those with hypertension were vulnerable to W in the subgroup analysis. Mediation analysis showed that monocyte count (MC), white blood cell count (WBC), high-density lipoprotein cholesterol (HDL), and MHR played a mediating role between W and CVD in proportions of 8.49%, 3.70%, 5.18%, and 12.95%, respectively. In conclusion, our study shows that urinary W can increase the risk of CVD, especially for CHF, CHD, and AP. Women, older age groups, and people with hypertension seem to be more vulnerable to W. In addition, MC, WBC, HDL, and MHR mediated the association between W and CVD, especially MHR, which suggests that we should consider it as a priority intervention target in the future.
Finite-element simulation of interfacial resistive switching by Schottky barrier height modulation
Authors: Khot Sagar , Jung Dongmyung , Kwon Yongwoo 
Published: April 2023

Abstract
This study demonstrates a numerical model for interfacial switching memristors based on the Schottky barrier height modulation mechanism. A resistive Schottky contact is formed for an n-type semiconductor and a high work-function metal (e.g., strontium titanate and platinum). The contact resistance is determined by the Schottky barrier height, which is influenced by the concentration of oxygen vacancies serving as space charges. Accordingly, the spatial distribution of vacancies and cell conductance can be controlled by applying a bias voltage. This interfacial switching is advantageous over filamentary switching, owing to the conductance change being more gradual in interfacial switching. In this study, a two-step numerical analysis was performed to model the conductance change in an interfacial switching memristor having a metal-oxide-metal structure of Pt/SrTiO3/Nb-SrTiO3, where Pt and SrTiO3 form a Schottky contact. In the first step, the change in the spatial distribution of vacancies by an applied switching voltage was obtained by solving the drift and diffusion equations for vacancies. In the second step, after setting the Schottky barrier height according to the vacancy concentration near the contact, the cell conductance was obtained by calculating the current value by applying a small read voltage. Consequently, our simulation successfully reproduced the experimental results for the SrTiO3-based memristor. Through this study, our device simulation for interfacial switching was successfully established, and it can be utilized in the computational design of various device architectures.
Comparison of microwave alone and combined with ethanol ablation for different types of benign cystic solid thyroid nodules
Authors: Wu Jun , Zhang Chaoxue , Jiang Fan , Lan XiaoFeng , Xie Xiang 
Published: April 2023

Abstract
Objective To evaluate the efficacy and safety of microwave ablation (MWA) plus ethanol ablation (EA) for different types of benign cystic solid thyroid nodules.Methods A total of 81 patients with 81 benign cystic solid thyroid nodules were enrolled into the study; 39 were divided to the MWA group and 42 to the combined group (MWA combined with EA). Nodule inactivation rate, volume reduction rate (VRR) and surgical complications of all patients were analyzed before and after treatment.Results The mean inactivation rate were 86.49 ± 6.68% and 90.09 ± 5.79% in the microwave and combined groups respectively, and the inactivation rate of nodule decreased as the nodule volume increased. For nodules ≥ 15 ml in volume, the mean inactivation rate of the combined group was higher than that of the microwave group (all P < 0.05). The mean VRR at 12 months postoperatively was 89.58 ± 4.32% in the microwave group and 92.92 ± 3.49% in the combined group, showing statistical significantly different between both arms (P = 0.001). The combined group decreased in volume more significantly than the microwave group for nodules with 20%-50% or 50%-80% cystic proportions or > 15 ml in volume (all P < 0.05). The complication rate was 23.08% and 2.38% respectively.Conclusion MWA combined with EA is more effective than MWA for treating cystic solid thyroid nodules. MWA combined with EA may be the first approach for nodules with > 20% cystic proportions or volume > 15 ml.
Mutation accumulation of SARS-CoV-2 genome in North America, South America, and Oceania: Analysis of over 6.5 million sequences samples from Global Initiative on Sharing Avian Influenza Data
Authors: Moshiri Khashayar , Mahmanzar Mohammadamin , Mahdavi Bahar , Tokhanbigli Samaneh , Rahimian Karim , Tavakolpour Soheil 
Published: April 2023

Abstract
The SARS-CoV-2 virus emerged in the world at the end of 2019, which caused a very rapid spread of COVID-19 all over the world. This respiratory illness caused the death of millions of people in different countries as the World Health Organization declared a global emergency. In this geographical evaluation, we extracted whole sequences of over 8 million reported samples from the GISAID database (until the end of January 2022). Extracted samples contain three continents including North America, South America, and Oceania, and compared the sequences to the reference SARS-CoV-2 genome. In total, 41,596, 20,195, and, 6,780 nonsynonymous substitutions were identified for North America, South America, and Oceania, respectively. NSP3 and S genes had the highest number of nonsynonymous mutations. Most of the mutations were seen in all three regions, but some were regional-specific with completely different trends. Although in majority of the cases, with a mutation in one nucleotide, which could potentially result in three different amino acids, we noticed a consistent tendency to specific amino acids in the majority of mutations. Mutations were not distributed equally across the genome, for example in the case of the S gene thirty-one mutations were found for North America, of which 5, 14, and 9 of them fell between 5-26, 139-259, and 452-684 first amino acids, respectively. In conclusion, the SARS-CoV-2 genome is changing with different patterns across the world, mutations are accumulated in specific regions of genes, and some specific amino acids are preferred by the virus, which probably is contributing to virus fitness.
The microbial removal of bisphenols in aquatic microcosms and associated alteration in bacterial community
Authors: Noszczyńska Magdalena , Pacwa-Płociniczak Magdalena , Bondarczuk Kinga , Piotrowska-Seget Zofia 
Published: April 2023

Abstract
The concept of the study resulted from numerous concerns around bisphenol A (BPA) and bisphenol S (BPS) in aquatic environments. In this study, river water and sediment microcosms highly polluted with bisphenols and bioaugmented with two BPs-removing bacterial strains were constructed. The study aimed to determine the rate of high-concentrated BPA and BPS (BPs) removal from river water and sediment microniches, the effect of water bioaugmentation with bacterial consortium on the removal rates of these pollutants, and the impact of introduced strains and exposure to BPs on the structural and functional composition of the autochthonous bacterial communities. Our findings indicate that the removal activity of autochthonous bacteria was sufficient for effectively BPA elimination and reducing BPS content in the microcosms. The number of introduced bacterial cells decreased continuously until day 40, and on consecutive sampling days, no bioaugmented cells were detected. Sequencing analysis of the total 16S rRNA genes revealed that the community composition in bioaugmented microcosms amended with BPs differed significantly from those treated either with bacteria or BPs. A metagenomic analysis found an increase in the abundance of proteins responsible for xenobiotic removal in BPs-amended microcosms. This study provides new insights into the effects of bioaugmentation with a bacterial consortium on bacterial diversity and BPs removal in aquatic environments.
Vulnerability and Impact Assessment of Land Subsidence using Persistent Scatterers Interferometry (PSI) for Chennai, India.
Authors: R Seshanth , Kulkarni Indraneel Krishna , Singh Tarun Pratap 
Published: April 2023

Abstract
In the recent years, India has witnessed a rapid economic growth resulting in unplanned urbanization and a continuous migration of rural population to cities. A coastal megacity like Chennai is vulnerable to hazards such as land subsidence caused by the over exploitation of groundwater and an increasing load on its surface. An important consequence of this can be the heightened vulnerability of a large population to climate change in the form of increased flood inundation and sea level rise. Our study reports the first scientific assessment of land subsidence for the Greater Chennai Corporation (GCC) area which was conducted using the Persistent Scatterers Interferometry (PSI) method. The results of the average displacement velocity ranged between -30.66 to 25 mm/yr. Due to an uplift pattern occurring in some regions, the average subsidence rate calculated was -1.20 mm/yr, with a standard deviation value of 3.58. The results of the time series analysis showed the central business district of the city, zone 10 (Kodambakkam) to be subsiding steadily and consistently, with the rate of subsidence reaching -65 mm/yr in 2019. A strong positive correlation was found between the land subsidence rates and the groundwater levels for GCC based on a Pearson’s correlation coefficient (r) of 0.81 and a coefficient of determination (r2) of 0.66. The study further showed a high degree of spatial overlap between the historical flood inundation data and land subsidence prone areas and also scrutinized the potential impact of the hazard on the railway infrastructure of the city.
Clinical Frailty Scale is useful in predicting return-to-home in patients admitted due to coronavirus disease
Authors: Kawamura Koki , Osawa Aiko , Tanimoto Masanori , Kagaya Hitoshi , Matsuura Toshihiro , Arai Hidenori 
Published: April 2023

Abstract
Background:
The spread of the novel SARS-CoV-2 infection prolonged, and the highly contagious Omicron variant became the predominant variant by 2022. Many patients admitted to dedicated coronavirus disease 2019 (COVID-19) wards (COVID-19 Treatment Units) develop disuse syndrome while being treated in hospital, and their ability to perform activities of daily living decline, making it difficult for hospitals to discharge such patients. This study aimed to investigate the relationship between the degree of frailty and home discharge of patients admitted to a COVID-19 Treatment Unit.
Methods:
The study retrospectively examined the in-patient medical records of 138 patients (82.7±7.6 years) admitted to a COVID-19 Treatment Unit from January to December 2022. The endpoint was whether the patients were able to be discharged from the COVID-19 Treatment Unit directly to home, and were classified into the Home discharge group, compared with the Difficulty in discharge group. The degree of frailty was determined based on Clinical Frailty Scale (CFS), and the relationship with the endpoint was analysed. A Receiver Operating Characteristic (ROC) curve was created and the cut-off value was calculated with the possibility of home discharge set as the state variable and CFS set as the test variable. Logistic regression analysis was conducted with the possibility of home discharge set as the dependent variable and CFS as the independent variable.
Results:
There were 75 patients in the Home discharge group, and 63 patients in the Difficulty in discharge group. As a result of ROC analysis, the CFS cut-off value was 6 or more, with a sensitivity of 70.7% and specificity of 84.1%. The results of logistic regression analysis showed a significant correlation between possibility of home discharge and CFS even after adjusting for covariates, with an odds ratio of 13.44.
Conclusions:
It was possible to predict with good accuracy whether a patient could be discharged directly to home after treatment based on the evaluation of the degree of frailty in the COVID-19 Treatment Unit. CFS is effective as a screening tool that can easily detect patients who require ongoing hospitalisation even after the acute phase of treatment in the COVID-19 Treatment Unit.
Values of Multiparametric and Biparametric MRI in Diagnosing clinically significant prostate cancer: A Multivariate Analysis
Authors: Feng Xiao , Chen Xin , Peng Peng , Zhou He , Hong Yi , Zhu Chunxia , Lu Libing , Xie Siyu , Zhang Sijun , Long Liling 
Published: April 2023

Abstract
Background To investigate the value of semi-quantitative and quantitative parameters (PI-RADS score, T2WI score, ADC, Ktrans, and Kep) based on multiparametric MRI (mpMRI) or biparametric MRI (bpMRI) combined with prostate specific antigen density (PSAD) in detecting clinically significant prostate cancer (csPCa).Methods A total of 561 patients (276 with csPCa; 285 with non-csPCa) with biopsy-confirmed prostate diseases who underwent preoperative mpMRI were included. Prostate volume was measured for calculation of PSAD. Prostate index lesions were scored on a five-point scale on T2WI images (T2WI score) and mpMRI images (PI-RADS score) according to the PI-RADS v2.1 scoring standard. DWI and DCE-MRI images were processed to measure the quantitative parameters of the index lesion, including ADC, Kep, and Ktrans values. The predictors of csPCa were screened by logistics regression analysis. Predictive models of bpMRI and mpMRI were established. ROC curves were used to evaluate the efficacy of parameters and the model in diagnosing csPCa.Results The independent diagnostic accuracy of PSA density, PI-RADS score, T2WI score, ADCrec, Ktrans, and Kep for csPCa were 80.2%, 89.5%, 88.3%, 84.6%, 58.5% and 61.6%, respectively. The diagnostic accuracy of BP-MRI T2WI score and ADC value combined with PSAD was higher than that of PI-RADS score. The combination of MP‑MRI PI‑RADS score, ADC value with PSAD had the highest diagnostic accuracy.Conclusions PI-RADS score was the most accurate independent diagnostic index. The predictive value of BP-MRI model for csPCa was slightly lower than that of MP-MRI model, but higher than that of PI-RADS score.
Growth of Ultrafine Si embedded SiO 2 Nanowires by Pt catalyst
Authors: Yang Xibao , Lv Hang , Chen Shuanglong , Wang Qiushi , Jiang Linhai 
Published: April 2023

Abstract
Ultrafine Si embedded SiO2 nanowires have been prepared by thermal evaporation using Pt catalyst. The ultrafine Si embedded SiO2 nanowires with a diameter of about 10 nm were grown in-situ on the Si substrate, conforming to a vapor-liquid-solid growth mechanism. On account of the existence of the quantum confinement effect, the absorption edge of the ultrafine Si embedded SiO2 nanowires is slightly larger. The photoluminescence result reveals a blue shift in the ultrafine nanowires, which may be due to the macroscopic behavior of the sample becomes more relevant and the typical surface plasmon absorption band appears. The Pt-related light emission characteristics will enable the development of nanowires in the field of optoelectronics.
Clustering predicted structures at the scale of the known protein universe
Authors: Steinegger Martin , Beltrao Pedro , Velankar Sameer , Varadi Mihaly , Wein Tanita , Gilchrist Cameron , Mirdita Milot , Jänes Jürgen , Yeo Jingi , Barrio-Hernandez Inigo 
Published: April 2023

Abstract
Proteins are key to all cellular processes and their structure is important in understanding their function and evolution. Sequence-based predictions of protein structures have increased in accuracy with over 214 million predicted structures available in the AlphaFold database (AFDB). However, studying protein structures at this scale requires highly efficient methods. Here, we developed a structural-alignment based clustering algorithm - Foldseek cluster - that can cluster hundreds of millions of structures. Using this method we have clustered all structures in AFDB, identifying 2.27M non-singleton structural clusters, of which 31% lack annotations representing likely novel structures. Clusters without annotation tend to have few representatives covering only 4% of all proteins in the AFDB. Evolutionary analysis suggests that most clusters are ancient in origin but 4% seem species specific, representing lower quality predictions or examples of de-novo gene birth. Additionally, we show how structural comparisons can be used to predict domain families and their relationships, identifying examples of remote homology. Based on these analyses we identify several examples of human immune related proteins with remote homology in prokaryotic species which illustrates the value of this resource for studying protein function and evolution across the tree of life.