bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of machine learning techniques for identifying soil-dwelling fungi and Chromista
Authors: Struniawski Karol , Kozera Ryszard , Trzciński Paweł , Lisek Anna , Sas-Paszt Lidia 
Published: March 2023

Abstract
The main goal of this paper is to construct automated system for accurate identification of soil microorganisms on a genera level based on microscopic images of the monocultural colonies. The microorganisms in question belong to one of the following genera: Fusarium, Trichoderma, Verticillium or Phytophthora. Proposed classification system is fully automated and works on raw microscopic images without extra preprocessing such as marking indicators or coloration applied. The implemented scheme comprises of the following steps: image preprocessing to enhance microorganisms characteristic traits, image segmentation to distinguish background from region of interest, features calculation focused on color and texture of image, feature selection and lastly classification using machine learning methods. Due to a differentiation of analyzed microorganism structures a novel method of segmentation, consisting of several steps and combining various machine graphics methods, that maximizes classification accuracy is developed. This work reports on research examining the impact of selected classifiers on final microorganisms’ identification. The highest noted mean classification accuracy renders 91.73% across 50runs of 10% cross-validation for Regularized Extreme Machine Learning classifier tested on a full set of features with parameter values set to 3900 neurons with Leaky Rectified Linear activation function in hidden layer and regularization constant C = 2.8.
Synergistic effects of silicon and phosphorus co-application on rice (Oryza sativa L.) growth, yield and nutrient use efficiency in saline soil
Authors: Kamruzzaman Md. , Akter Shova , Khan Md. Zulfikar , Amin Md. Sadiqul 
Published: March 2023

Abstract

Despite the important role of silicon (Si) for the better utilization of plant nutrients, it is not well understood how the combinations of Si and P (phosphorus) will behave as a co-fertilizer in saline soil for better yield performance and nutrient uptake. Hence, the goal of this study was to identify the effects of different combinations of Si and P applications on the growth, yield, nutrient uptake including nutrient use efficiency of rice (Oryza sativaL.) in saline soil. Combinedly, 3 levels of silicon (Si), i.e., Ca2SiO4: 0, 300 and 600 kg Si ha− 1and, 4 levels of phosphorus (P), i.e., TSP: 0, 13.2, 26.4, and 39.6 kg P ha− 1were applied to salt-tolerant rice (Binadhan-8) variety. The results revealed that the significant effect of the Si and P combination improves the growth, and yield parameters (tiller number, filled grain, total grain, grain yield, biological yield, straw yield). We also found a strong positive correlation between the Si and P combination and other essential nutrients (N, P, K and S) implying that the interactive effects of Si and P fertilization improve nutrient uptake and increase nutrient use efficiency. Comparing all results, the combination of 300 kg Si ha− 1and 26 .4 kg P ha− 1is potentially optimum to maximize grain yield by 41.66% and straw yield by 55% and N uptake by 216%, P uptake by 193%, K uptake by 263% and S uptake by 130% over control in saline soil.
Elimination of FKBP51 attenuates CCl4-induced liver injury via enhancement of mitochondrial function by increased Parkin activity
Authors: Qiu Bin , Zhong Zhaohui , Dou Longyu , Xu Yuxue , Zou Yi , Weldon Korri , Wang Jun , Zhang Lingling , Liu Ming , Williams Kent E. , Spence John Paul , Bell Richard L. , Lai Zhao , Yong Weidong , Liang Tiebing 
Published: March 2023

Abstract

Background & AimsLiver injury is a common feature of most chronic liver diseases. Previously, we found thatFkbp51knockout (KO) mice resist high fat diet-induced fatty liver and alcohol-induced liver injury. The aim of this research is to identify the mechanism by whichFkbp51affects liver injury using the carbon tetrachloride (CCl4) injection model.MethodsCCl4-induced liver injury was compared betweenFkbp51KO and wild type (WT) mice. Step-wise and in-depth analyses were applied, including liver histology, biochemistry, RNA-Seq, mitochondrial respiration, electron microscopy, and molecular assessments. The selective FKBP51 inhibitor (SAFit2) was tested as a potential treatment to ameliorate liver injury.ResultsFkbp51knockout mice exhibited protection against liver injury, as evidenced by liver histology, reduced fibrosis-associated markers (Collagen I, α-SAM, CTGF, and TIMP1), and lower serum AST and ALT levels. RNA-seq identified differentially expressed genes between KO and WT after liver injury. Pathway and STRING analysis revealed that gene hubs involved in fibrogenesis, inflammation, mitochondria, and oxidative metabolism pathways are significantly altered and predicted the interaction of FKBP51, Parkin, and HSP90. Cellular studies supported co-localization of Parkin and FKBP51 in the mitochondrial network, and Parkin was shown to be expressed higher in the liver of KO mice at baseline and after liver injury relative to WT. Further functional analysis identified that KO mice exhibited increased ATP production and enhanced mitochondrial respiration. KO mice have increased mitochondrial size, increased autophagy/mitophagy and mitochondrial-derived vesicles (MDV), and reduced reactive oxygen species (ROS) production, which supports enhancement of mitochondrial quality control (MQC). Application of SAFit2, an FKBP51 inhibitor, reduced the effects of CCl4-induced liver injury and was associated with increased Parkin and ATP production.ConclusionsDownregulation of FKBP51 represents a promising therapeutic target for the treatment of liver disease.
Factors related to post-traumatic stress disorder among nurses after directly caring for patients with COVID-19: a cross-sectional study
Authors: Yoon Hyo-Jeong , Bae Soon Yeung , Baek Jihyun 
Published: March 2023

Abstract

Background Nurses are particularly at risk of suffering from post-traumatic stress disorder (PTSD) owing to their overwhelming workload, risk of infection, and lack of knowledge about the coronavirus disease 2019 (COVID-19). PTSD negatively affects an individual’s health, work performance, and patient safety. This study aims to assess factors related to PTSD among nurses after directly caring for patients with COVID-19. Methods This study is a secondary analysis aimed at identifying factors influencing PTSD among nurses who directly cared for COVID-19 patients. Data from 168 nurses, collected between October and November 2020, were analyzed. The independent variables were personal, interpersonal, and organizational and COVID-19-related factors (experience of quarantine and direct care of patients with COVID-19), and the dependent variables were PTSD symptoms evaluated based on the PTSD Checklist-5. The nurses’ experience of direct care for COVID-19 patients in the designated COVID-19 isolation wards during the first wave of the pandemic (February 2020 to May 2020) were included. Results Among the nurses, 18.5% exhibited symptoms of PTSD. When directly caring for a patient in the designated COVID-19 isolation ward, nurses witnessing the death of a patient (p = .001), low level of nurse staffing (p = .008), and inconvenience of electronic health (p = .034) were associated with PTSD symptoms. The experience of quarantine owing to COVID-19 was also associated with PTSD symptoms (p = .034). Additionally, the higher the nurse managers’ ability, leadership, and support of nurses in the current ward, the higher the possibility of lowering nurses’ PTSD symptoms (p = .006). Conclusions Governments and hospitals should prepare and implement organizational intervention programs to improve nurse manager leadership, nurse staffing levels, and electronic health records programs. Additionally, because nurses who have witnessed the death of a COVID-19 patient or who are self-isolating are vulnerable to PTSD, psychological support should be provided.
Digital workflow in implant-supported prostheses: deformation analysis of milled frameworks
Authors: de Figueiredo Elisa Zancanaro , Dinato Thiago Revillion , Dinato José Cícero , Grossi Márcio Lima 
Published: March 2023

Abstract
The use of digital technology is increasing rapidly in modern dentistry. However, there is still not enough data in the literature regarding the manufacture of milled frameworks on implant-supported prosthesis.
Purpose: To assess the stress caused on dental implants by milled frameworks of different sizes made through digital workflow and to compare two types of scanners.
Methods: An edentulous model of a maxilla was created through 3D printing, where six equidistant implants were installed with a 50Ncm torque. Over each implant was installed a 5.5mm mini conical abutment with a 32Ncm torque. Over these abutments, two types of scanning were performed: intraoral scanners (IOS) and laboratory scanners (LS), from which each framework was designed and milled from titanium discs. These frameworks were made over two, four and six implants, simulating different clinical situations. To analyze the deformation, two strain gages were attached to the abutment surfaces, on the buccal and mesial surfaces. Results were analyzed using a paired Student’s t-test, with significance level of 0.005. The passivity was evaluated by an experienced operator.
Results: LS scanners had the lowest deformation, when compared to the IOS. The greater the distance between the implants, the higher the deformation. In frameworks on 4 implants, the deformation was greater, as it was the distance between the implants. The groups on 2 implants showed the least strain (p < 0.005). All frameworks were considered passive, as they all fit the passivity criteria.
Conclusions: All scanning techniques reported are reliable. The milled frameworks are passive and accurate, with very little deformation, and they can be safely supported by implants, without bone resorption.
Evolution and Resilience of agri-food trade network
Authors: Clemente Gian Paolo , Cornaro Alessandra , Corte Francesco Della 
Published: March 2023

Abstract
In the complex global food system, the dynamics associated to international food trade became key determinants of foodsecurity. In this paper, we combine a community detection approach with a supervised learning technique in order to describeboth the evolution and the resilience of agri-food trade network. Using a large amount of data, we detect similarities betweencountries and we identify the main drivers that affect trade dynamics over time. The analysis is completed also including thevariability on food production and trading due to the climate conditions’ evolution. Results emphasize how the topologicalstructure of the network is evolving over time and how it is modifying the clusters composition. Interestingly, we identifysustainability, climate and food nutrition aspects between the emerging factors in the explanation of trade relationships.
Exploring the State of Health of Electric Vehicle Batteries at End of Use; Hierarchical Waste Flow Analysis to determine the Recycling and Reuse Potential
Authors: Fallah Narjes , Fitzpatrick Colin 
Published: March 2023

Abstract
With the increasing adoption of electric vehicles, their end-of-life management is a timely matter. This requires recognizing the upcoming volume of retired electric-vehicle-batteries to the waste stream. The projection is further useful if we have an estimation of the remaining value within them to categorize the recycling or repurposing potential to allow appropriate policy development and facility planning. This qualification assessment is neglected in the current literature. This study aims to provide a hierarchical battery waste estimation based on their health and age of disposal in Ireland. These two factors are the fundamental parameters in determining the feasibility of repurposing or recycling retired batteries. Identifying this information, we defined three reuse scenarios with different state-of-health limits. Results indicate almost 50%, 30%, and below 10% repurposing potential in the year 2050 when setting a repurposing threshold of above 80%, 85%, and 90%, respectively. The authors also highlight the effect of non-regional repurposing on the recycling potential.
WITHDRAWN: A Study on the Government's Investment Priorities for Building a Supercomputer Joint Utilization System
Authors: shim hyungwook , Hahm Jaegyoon 
Published: March 2023

Abstract
The purpose of this paper is to analyze the Korean government's investment priorities for the establishment of a supercomputer joint utilization system using AHP. The AHP model was designed as a two-layered structure consisting of two areas of sector-specialized infrastructure, one-stop joint utilization system service, and four evaluation items for detailed tasks. For the weight of each evaluation item, a cost efficiency index considering the annual budget of the evaluation item was developed for the first time and applied to the weight calculation process. AHP analysis conducted a survey targeting supercomputer experts and derived priorities with 22 data that had completed reliability verification. As a result of the analysis, the government's investment priority was high in the order of dividing infrastructure for each specialized center and building resources for specialized centers in stages. In the future, it is believed that the analysis results will be used to select economical promotion plans and prepare strategies for the establishment of the government's supercomputer joint utilization system.
Asymptomatic and submicroscopic malaria infections in sugar cane and rice development areas of Ethiopia
Authors: Getachew Hallelujah , Demissew Assalif , Abossie Ashenafi , Habtamu Kassahun , Wang Xiaoming , Zhong Daibin , Zhou Guofa , Lee Ming-Chieh , Hemming-Schroeder Elizabeth , Bradley Lauren , Degefa Teshome , Hawaria Dawit , Tsegaye Arega , Kazura James W. , Koepfli Cristian , Yan Guiyun , Yewhalaw Delenasaw 
Published: March 2023

Abstract

Background Water resource development projects such as dams and irrigation schemes have a positive impact on food security and poverty reduction but might result in increased prevalence of malaria. Methods Two cross-sectional surveys were conducted in the dry and wet seasons in irrigated and non-irrigated clusters of Arjo sugarcane and Gambella rice development areas of Ethiopia in 2019. A total of 4464 and 2176 blood samples were collected from Arjo and Gambella. A subset of 2244 microscopy negative blood samples were analyzed by PCR. Results Prevalence by microscopy was 2.0% (88/4464) in Arjo and 6.1% (133/2176) in Gambella. In Gambella, prevalence was significantly higher in irrigated clusters (10.4% vs 3.6%) than in non-irrigated clusters (p < 0.001), but no difference was found in Arjo (2.0% vs 2.0%;p = 0.993). Level of education was an individual risk factors associated with infection in Arjo [AOR: 3.2; 95%CI (1.27–8.16)] and in Gambella [AOR: 1.7; 95%CI (1.06–2.82)]. While duration of stay in the area for < 6 months [AOR: 4.7; 95%CI (1.84–12.15)] and being a migrant worker [AOR: 4.7; 95%CI (3.01–7.17)] were risk factors in Gambella. Season [AOR: 15.9; 95%CI (6.01–42.04)], no ITN utilization [AOR: 22.3; 95%CI (7.74–64.34)] were risk factors in Arjo, and irrigation [AOR: 2.4; 95%CI (1.45–4.07)] and family size [AOR: 2.3; 95%CI (1.30–4.09)] risk factors in Gambella. Of the 1713 and 531 randomly selected smear negative samples from Arjo and Gambella and analyzed by PCR the presence ofPlasmodiuminfection was 1.2% and 12.8%, respectively.P. falciparum, P. vivax, andP. ovalewere identified by PCR in both sites. Conclusion Strengthening malaria surveillance and control in project development areas and proper health education for at-risk groups residing or working in such development corridors is needed.
Erosion of the capital city advantage in child survival and reproductive, maternal, newborn and child Health intervention coverage in sub-Saharan Africa
Authors: Amouzou Agbessi , Melesse Dessalegn Y. , Wehrmeister Fernando C. , Ferreira Leonardo Z. , Jiwani Safia S. , Kassegne Sethson , Maïga Abdoulaye , Faye Cheikh M. , Ca Tome , Boerma Ties 
Published: March 2023

Abstract
The place of residence is a major determinant of RMNCH outcomes, with rural areas often lagging in sub-Saharan Africa. This long-held pattern may be changing given differential progress across areas and increasing urbanization. We assessed inequalities in child mortality and RMNCH coverage across capital cities, other urban and rural areas. We analyzed mortality data from 162 DHS and MICS in 39 countries with the most recent survey conducted between 1990 and 2020, and RMNCH coverage data from 39 countries. We assessed inequality trends in neonatal and under-five mortality and in RMNCH coverage using multilevel linear regression models. Under-five mortality and RMNCH service coverage inequalities by place of residence have reduced substantially in sub-Saharan Africa, with rural areas experiencing faster progress than other areas. The absolute gap in child mortality between rural areas and capital cities, and that between rural and other urban areas reduced respectively from 41 and 26 deaths per 1000 live births in 2000 to 23 and 15 by 2015. Capital cities are losing their primacy in child survival and RMNCH coverage over other urban areas and rural areas, especially in Eastern Africa where under-five mortality gap between capital cities and rural areas closed almost completely by 2015. While child mortality and RMNCH coverage inequalities are closing rapidly by place of residence; slow trends in capital cities and urban areas suggest gradual erosion of capital city and urban health advantage. Monitoring child mortality and RMNCH coverage trends in urban areas, especially among the urban poor, and addressing factors of within urban inequalities are urgently needed.
Impact of delivery time factor on treatment time and plan quality in tomotherapy
Authors: Yagihashi Takayuki , Inoue Tatsuya , Shiba Shintaro , Yamano Akihiro , Minagawa Yumiko , Omura Motoko , Inoue Kazumasa , Nagata Hironori 
Published: March 2023

Abstract
Background
The delivery time factor (DTF) is a new parameter introduced by the RayStation treatment planning system for tomotherapy treatment planning. This study investigated the effects of this factor on various tomotherapy plans.
Methods
Overall, 25 patients with cancer (head and neck, 6; lung, 9; prostate, 10) were enrolled in this study. For these patients, helical tomotherapy plans with a field width of 2.5 cm, pitch of 0.287, and DTF of 2.0 were created. All the initial plans were recalculated by changing the DTF parameter from 1.0 to 3.0 in increments of 0.1 (21 plans per patient). For each plan, we calculated the following evaluation indices: the treatment time, modulation factor, conformity index (CI), homogeneity index (HI), and doses to critical organs at risk (OARs). For every index, the values normalized by the corresponding values with a DTF of 1.0 were plotted, and fitted curves with polynomial functions were created as a function of the DTF. These curves were used to evaluate the impact of the DTF on both delivery efficiency and plan quality.
Results
Treatment time and modulation factor increased monotonically with increasing DTF. Increasing the DTF by 0.1 resulted in an increase in the treatment time and modulation factor by almost 10%. This relationship was similar for all treatment sites. An increase in DTF was found to improve CI, HI, and OAR doses compared to plans with a DTF of 1.0, except for the CI in the lung cancer case. However, the improvement in most indices ceased at a certain DTF; nevertheless, treatment time continued to increase in accordance with an increase in DTF.
Conclusions
DTF is a critical parameter for improving the quality of tomotherapy plans; however, increase of this factor above a certain level leads to an unnecessary increase in treatment time and deterioration of plan quality.
Trial registration:
None.
Spatial Assessment of Soil Erosion Using RUSLE Model, Remote Sensing and GIS: A Case Study of Mellegue Watershed, Algeria- Tunisia
Authors: Weslati Okba , Serbaji Mohamed-Moncef 
Published: March 2023

Abstract
Soil erosion is an important global phenomenon that can cause many impacts, like shape and hydrology alteration, land degradation, and landslides. Moreover, soil loss has a significant effect on agricultural production by removing most valuable and productive top soil’s profile, leading to reduction in yields which requires high production budget. Soil erosion impact has been intensified by the magnification of global warning and drought, especially in north African regions, such as Tunisia and Algeria, where arid climate is the dominant weather on these regions. In addition, these regions are suffering from soil erosion by water which had cost a serious soil loss regionally and globally. Accordingly, this study aimed to compare soil losses, between 2002 and 2020, of the catchment of Mellegue which is a large cross-border basin commonly shared between Tunisian-Algerian countries. Soil erosion risk was assessed and mapped via the Revised Universal Soil Loss Equation (RUSLE). It requires diverse factors that are integrated in the erosion process such are topography, soil erodibility, rainfall erosivity, anti-erosion cultivation practice and vegetation cover. The computation of the various equation factors was applied in a GIS environment, using ArcGIS desktop 10.4. The results shows that the catchment has undergone significant soil water erosion where it exhibits the appearance of approximate 14000 new areas vulnerable to erosion by water in 2020 compared to 2002. Average erosion risk has also increased from 1.58 t/ha/year in 2002 to 1.78 in 2020 leading to an increase in total estimated soil loss by reaching 54000 t/ha in 2020 compared to around 25500 t/ha in 2002. Mapps of erosion risk shows that highly eroded areas are more frequent in downstream of the basin. These maps can be helpful for decision-makers to make better sustainable management plan and for land use preservation.
Ciprofloxacin interferes with collagen I/II and matrix metalloproteinase synthesis
Authors: Yu Ran , Li Ye , Jin Lihua 
Published: March 2023

Abstract
Background Fluoroquinolones are a wide-spectrum synthetic antibiotic that increases the risk of tendon rupture and has undesirable side-effects on collagen synthesis. Fibroblasts are the predominant cells that produce collagen. Objective This study therefore used human fibroblasts to investigate the effects of ciprofloxacin on their extracellular matrix and collagen metabolism. Result We found that low ciprofloxacin concentrations improved cell culture conditions. However, high ciprofloxacin concentrations, exerted a negative effect on cell proliferation and collagen type I/II formation. Conclusion Ciprofloxacin significantly decreased the collagen I to collagen II ratio through lowering collagen I concentration, which could be the mechanism underlying the drug’s effects on tendon injury. Ciprofloxacin also upregulates MMP9 expression, potentially leading to fibrosis. In conclusion, it demonstrated that high ciprofloxacin concentrations exerted cytotoxic effects on fibroblasts, specifically through inhibiting collagen I synthesis and upregulating MMP9 expression, which alter extracellular matrix homeostasis and likely play a key role in tendon injury.