bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a software package for conversion configuration of the 1C: Enterprise platform to UML model
Authors: Балюк А.С. , Попова В.А. 
Published: February 2022

Применение средств для повышения удобства создания программного обеспечения является важным аспектом при организации процесса разработки. В данной работе определяются причины применения механизмов для наглядного представления структуры современных программных систем в графическом виде. Анализируется структура прикладных решений на платформе «1С:Предприятие». Описывается формат «Дерево типов конфигурации». Приводятся этапы разработки программного комплекса для преобразования конфигураций «1С:Предприятие» в объектную модель UML с целью дальнейшей визуализации в виде диаграмм классов.
The use of tools to improve the convenience of creating software is an important aspect in the organization of the development process. The article defines the reasons for the use of mechanisms for the visual representation of the structure of modern software systems in a graphical form. The structure of applied solutions on the “1C:Enterprise” platform is analyzed. The “Configuration Type Tree” format is described. The stages of developing a software package for converting “1C:Enterprise” configurations into an object model of UML for the purpose of further visualization in the form of class diagrams are given.
Correlating CT severity score and laboratory parameters in COVID-19 patients: the Indian experience
Authors: Singhal Annu , Ramar Raja Kumar , Kottiyath Vivek C. , Gupta Nishtha 
Published: February 2022

Background: Patients with COVID-19 infection present with myriad of symptoms to the clinicians. Many of these patients undergo HRCT chest and various lab tests during their treatment. Correlation between various lab parameters and severity of the disease on chest CT would be helpful in management of such patients. In situations where CT is not available, lab parameters may help to predict disease severity. The primary objective was to find out if there was any correlation between CT severity scores and laboratory parameters in patients having COVID-19 and if one can be extrapolated in cases where CT facilities may not be available.Methods: This is a retrospective, descriptive, and observational study. CT severity scores were obtained in all the patients using the 25 point scale. The following lab parameters were assessed: TLC, DLC, SGOT, SGPT, CRP, D-Dimer, IL-6, Serum Ferritin and serum LDH. Correlation was done between the CT score and various lab parameters using Pearson correlation coefficient test.Results: 285 patients with positive COVID-19 RT-PCR test were included in the study. CT score showed statistically significant positive correlation with age, TLC, Neutrophil count, SGOT, SGPT, CRP, D-dimer, IL-6, Ferritin and LDH with p-values less than 0.05. Negative correlation was seen with Lymphocyte count. Severe disease was found to be more common in older patients.Conclusions: In our study, CRP, LDH, Serum ferritin, IL-6 and D-dimer levels were observed to have positive correlation with disease severity on CT. Thus these measured at the time of admission can be taken into consideration to predict radiological severity.
Using the Research Results in Implementing Educational Programs for the Direction «Library and Information Activities»
Authors: Merkulova A. Sh. , Savkina S. V. 
Published: February 2022

Research activity is an integral part of the educational process at the university. The formation of educational programs of higher education includes not only the development of the main components of the of students training, but also the consideration of scientific directions and research in the field of culture, including library and information activities. The purpose of the article is to prove that there is a clearrelationship between the research activities of university teachers, the research work ofstudents and the formation of educational programs with the approbation of the methodology for analyzing this relationship.Within the framework of the conducted research, the results of the research activities of students and teachers – final qualification papers and publications of teachers of the Faculty of Information and Library Technologies of the Kemerovo State Institute of Culture (KEMGIK) were analyzed; the information obtained was compared with educational programs for bachelor’s and master’s degrees in library and information activities.The analysis of the topics of the final qualifying works is carried out, the leading directions of student research are identified. The correspondence of the disciplines of the curriculum to the research directions is presented. Based on the analysis of publications and an online survey of faculty teachers, scientific interests have been identified, which are reflected in the educational process. The influence of the results of students and teachers researchs on the formation and implementation of educational programs of library and information activities is considered. The analysis of research activities at the faculty has shown that in the course of the educational process, the results of students and teachers researches are used to modernize the content of disciplines, develop new courses, as well as retraining and advanced training programs for library staff. The authors prove that there is a clear relationship between the research activities of university teachers, the research work of students and the formation of educational programs.
Shortest Path Computation Technique in WSN for IOT Applications
Authors: Gill Ramandeep , Dubey Tarun Kumar 
Published: February 2022

Abstract
A Wireless Sensor Network (WSN) consists of a large no of sensor nodes deployed inside a physical environment that are capable of sensing and processing the data related to that environment and communicating it over the network. One of the vital applications of WSN is its suitability to smart cities that consist of many features such as smart buildings, smart education, smart governance, smart security, and smart mobility. This paper focuses on calculating the shortest path from the source node to the destination node in WSN by means of Dijkstra’s Algorithm. Various other algorithms are also compared and their suitability to different application scenarios is discussed. Simulations have been made for the smart city and Internet of Things (IoT) application by using the WSN simulator CupCarbon U-One 4.2.
Reference Genome Sequencing Of The Elite Bread Wheat Cultivar, “Sonmez”
Authors: Akpinar B. Ani , Leroy Philippe , Watson-Haigh Nathan S. , Baumann Ute , Barbe Valerie , Budak Hikmet 
Published: February 2022

Abstract
Objectives High-yielding crop varieties will become critical in meeting the future food demand in the face of worsening weather extremes and threatening biotic stressors. Bread wheat cultivar Sonmez-2001 is a registered variety that is notable for its performance under low irrigation conditions, which further improves upon irrigation. In order to explore and exploit the genomic potential of this elite variety, in 2015, we sequenced the modern elite cultivar Sonmez genome which represents a diverse genetic background. Data description Here, we provide a reference-guided whole genome sequence of Sonmez-2001, assembled into 21 chromosomes of the A, B and D genomes and totaling to 13.3 gigabase-pairs in length. Additionally, a de novo assembly, of an additional 1.05 gigabase-pairs, was generated that represents either Sonmez-specific sequences or sequences that considerably diverged between Sonmez and Chinese Spring. We identified up to 24 million sequence variants, of which up to 2.4% reside in coding sequences, that can be used to develop molecular markers that should be of immediate use to the cereal community.
Predicting of Agro-environmental Footprint with Artificial Intelligence (Soybean cultivation in various scenarios)
Authors: Kashka Faezeh Mohammadi , Sarvestani Zeinolabedin Tahmasebi , Pirdashti Hemmatollah , Motevali Ali , Nadi Mehdi 
Published: February 2022

Abstract
This study employed two artificial intelligence (AI) methods called the ANFIS–FCM algorithm as a novel computational method and an artificial neural network (ANN) as a conventional computational method in order to predict the environmental impacts of soybean production in different scenarios (i.e., soybean cultivation after rapeseed (R-S), wheat (W-S), and fallow (F-S)). The 175 data of life cycle assessment (LCA) method were collected from soybean farms. The two methods called the adaptive neuro-fuzzy inference based on fuzzy C-means clustering algorithm (FCM) and the artificial neural network (ANN) were adopted to predict environmental parameters. For this purpose, the life cycle of soybean production was assessed in terms of environmental impacts through the IMPACT2002+ method in SimaPro. According to the results, the production of each ton of soybean in the defined scenarios resulted in 0.0009 to 0.0016 DALY, 5476.18 to 8799.80 MJ primary, 1033.68 to 1840.70 PDF×m2×yr, and 563.55 to 880.61 kg CO2-eq damage to human health, resources, ecosystem quality, and climate change, respectively. Moreover, the weighted analysis indicated that various soybean production scenarios led to 293.87–503.73 mPt damage to the environment in which the R-S scenario had the best environmental performance. Notably, the emissions caused by the production and application of the diesel fuel followed by chemical fertilizers, particularly N and P fertilizers, were recognized as the most important environmental hotspots in soybean production. According to the results, the ANFIS–FCM algorithm acted as the best prediction model of environmental indicators for soybean cultivation in all cases related to the ANN. The RMSE and MAPE values obtained from ANFIS–FCM were lower than the values obtained from the ANN model for all environmental indicators. For the ANFIS–FCM and ANN algorithms, R2 ranged between 0.9967 to 0.9989 and 0.9269 to 0.9870, respectively. It can be concluded that the proposed ANFIS–FCM model is an efficient technique for obtaining accurate environmental prediction parameters of soybean cultivation.
Body Composition Evaluated by Bioelectrical Impedance Analysis in Patients With Pemphigus Vulgaris
Authors: Nasimi Maryam , Abedini Robabeh , Najafi Mohammad Taghi , Teymourpour Amir , Tootoonchi Nasim 
Published: February 2022

Abstract
Background:Pemphigus is a rare autoimmune disease affecting the skin and mucosa. Metabolic dysfunctions are shown to be associated with this disorder. The pemphigus disease area index (PDAI) score has been used as an accurate tool to assess the severity of pemphigus. This study aimed to evaluate the association between nutritional, metabolic indexes and Phase angle (PhA) in patients with pemphigus vulgaris (PV) and severity of disease based on the PDAI index.Methods:In this regard, 103 pemphigus patients and 125 healthy cases who were matched regarding their sex, age and body mass index were chosen. Results:Our results showed that there was a significant correlation between phase angle and sarcopenic index in patients with PV. Moreover, steroid dose had a significant correlation with sarcopenia index; while had no correlation with visceral fat area (VFA), BMI, volume load, percent body fat (PBF), and PhA. The volume load was lower but phase angle and sarcopenic index were higher in males, and females had a significantly higher BMI. Moreover, PBF and VFA were significantly higher in females compared to males. Besides, patients treated with rituximab had lower PBF and higher sarcopenic index and volume loads compared to patients receiving other adjuvant treatments. In comparison to healthy controls, PV patients had a significantly higher VFA and PBF.Conclusion:Conclusively, patients with PV had a significantly higher VFA and PBF compared to healthy objects. Moreover, sarcopenic index was related to steroid dose and history of rituximab treatment.
Identification of SARS-CoV-2 Variants Using Viral Sequencing for the Centers for Disease Control and Prevention Genomic U.S. Surveillance Program.
Authors: Goswami Chirayu , Sheldon Michael , Bixby Christian , Keddache Mehdi , Bogdanowicz Alexander , Wang Yihe , Schultz Jonathan , McDevitt Jessica , LaPorta James , Kwon Elaine , Buyske Steven , Garbolino Dana , Biloholowski Glenys , Pastuszak Alex , Storella Mary , Bhalla Amit , Charlier-Rodriguez Florence , Hager Russ , Grimwood Robin , Nahas Shareef Amin 
Published: February 2022

Abstract
Background
The Centers for Disease Control and Prevention contracted with laboratories to sequence the SARS-CoV-2 genome from positive samples across the United States to enable public health officials to investigate the impact of variants on disease severity as well as the effectiveness of vaccines and treatment. Herein we present the initial results from full SARS- CoV-2 viral genomic sequencing of 24,441 positive patient samples between April and June 2021.
Methods
RT-PCR confirmed (N Gene Ct value <30) positive patient samples, with nucleic acid extracted from saliva, nasopharyngeal and oropharyngeal swabs were selected for viral whole genome SARS-CoV-2 sequencing. Sequencing was performed using Illumina COVIDSeqtm protocol on either the NextSeq550 or NovaSeq6000 systems. Informatic variant calling, and lineage analysis were performed using DRAGEN COVID Lineage applications on Illumina’s Basespace cloud analytical system. All sequence data and variant calls were uploaded to NCBI and GISAID.
Results
An association was observed between higher sequencing coverage, quality, and samples with a lower Ct value, with <27 being optimal, across both sequencing platforms and sample collection methods. Both nasopharyngeal swabs and saliva samples were found to be optimal samples of choice for SARS-CoV2 surveillance sequencing studies, both in terms of strain identification and sequencing depth of coverage, with NovaSeq 6000 providing higher coverage than the NextSeq 550. The most frequent variants identified were the B.1.617.2 Delta (India) and P.1 Gamma (Brazil) variants.
Conclusion
These initial analyses highlight the importance of sequencing platform, sample collection methods, and RT-PCR Ct values in guiding surveillance efforts to inform the public of variant transmission rates, with the potential to facilitate correlation of sequencing data with vaccine efficacy rate and efficacy of infection prevention precautions.
The good, the bad, and the blameless: A thematic analysis of the parental role in childhood obesity on an Internet discussion board
Authors: Koivumäki Terhi , Jallinoja Piia 
Published: February 2022

Abstract
Background: Childhood obesity is an ongoing concern affecting many parents. Discussions around childhood obesity take place increasingly on social media, such as Internet discussion forums. On these platforms, parents present their experiences and apply cultural conceptions of childhood obesity. Argumentation on the platforms may affect how parents of children with obesity perceive obesity and adopt childhood obesity treatment. By exploring online discussions on childhood obesity, we can better understand the overall cultural conceptions concerning childhood obesity and the related responsibilities. This understanding may be used in health care to develop parents’ counselling for children’s weight issues. Method: We gathered and analysed 16 discussion threads on childhood obesity taken from a Finnish internet discussion forum, vauva.fi, between 2015 and 2021. In the analysis, we focused on threads where parents having a child with obesity took part. The data were analysed and interpreted with inductive thematic analysis.Results: In the online discussion on childhood obesity, the posts were mostly about the reasons and solutions for obesity, and obesity was discussed in the context of parental responsibility and lifestyle choices within the family. We located three themes that were used to define parenthood: being a good parent, being a bad parent, and being a blameless parent. Parents listed healthy elements in their family’s lifestyle to prove their good parenthood, whereas other commenters frequently tried to point out mistakes in the parents’ behaviour or offer advice. Moreover, many acknowledged that some factors causing childhood obesity were outside the parents’ influence. In addition, many parents were genuinely ignorant of the reasons for their child’s overweight. Conclusions: Our results showed that childhood obesity is not only a question of weight and lifestyle changes. Instead, defining parenthood and whether parents had fulfilled their tasks properly is the core issue. Consequently, counselling for parents in health care should be expanded from supporting a healthy lifestyle to strengthening parents’ identity as being good enough parents. Furthermore, efforts should be made to increase parents’ self-efficacy. In addition, supporting parents to accept and process feelings attached to the child’s weight would help them to manage in the present situation.
A randomized controlled trial evaluating the effect of Tai Chi on the drug craving in women
Authors: Wang Mu , Chen Yanyan , Zhang Xiaoyu , Li Huazhi , Yuan Cunfeng , Li Jin , Xu Yubing , Ding Zenghui , Ma Zuchang , Sun Yining 
Published: February 2022

Abstract

Purpose: This study was conducted in the purpose of investigating the effect of Tai Chi on drug craving for women with drug disorders.Methods: 112 women were recruited from a drug rehabilitation center in China, and 47 and 48 were finally analyzed in control group and exercise group, respectively. Exercise group underwent a three-month Tai Chi training, whereas the control group experienced no exercise intervention during the same time period. The drug craving was measured by visual analogue scale. In data analysis, repeated-measures were utilized to test the differences between the control and exercise group over the course of the experiment time.Results: The mean of the craving score significantly dropped from pre-test (control: mean=5.38, SD=3.04; exercise: mean=4.68, SD=2.93) to post-test (control: mean=4.03, SD=2.73; exercise: mean=1.91, SD=1.90) in both groups (control group: t=3.84, df=46, p<0.001; exercise group: t=5.941, df=47, p<0.001), with more decrease witnessed in the exercise group. Repeated- measures analysis with a Huynh-Feldt correction showed the significant effect of time (F=27.383, p<0.001) as well as the study group by time interaction (F=3.52, p=0.024). Conclusion: Tai Chi can ameliorate the drug craving in women and it could be a supportive treatment for drug addiction.
Responses of Natural Revegetation to Topographic Factors in Burned Areas
Authors: He Zhixue , Wang Lei , luo jun , Zhang Bin , Deng Qingchun , Liu Hui , Yang Haiqing 
Published: February 2022

Abstract
Background
Fire is an important disturbance of forest ecosystems and has important impacts on the subsequent succession of vegetation. To reveal the characteristics of natural understory revegetation and its response to environmental factors in burned areas, we studied a mountainous region with a subtropical climate (located in Xide County, China).
Results
Based on quadrat surveys and correlation analysis. the main results of this study were as follows. (1 ) Within four months after a fire, a total of 71 species, 52 genera, and 20 families of vegetation were found, representing significant increases from the first to second sampling periods. (2 ) The Shannon-Wiener, Simpson, and Margalef indexes increased between sampling periods, whereas the Pielou index decreased. The Margalef index had the most obvious change, increasing by 5.44 and 5.16 in lightly and severely burned areas, respectively. (3 ) The vegetation community stability in burned areas was low at the initial stage of revegetation. It tended to increase with the intensity of the fire that had affected a given sampling area. (4 ) Elevation and slope were the main physical factors affecting the vegetation biodiversity indexes and distribution. (5 ) The regrowth of understory vegetation was optimal in the gentle, shady slopes at low elevations.
Conclusions
This study elucidates the relationship between revegetation and topographic factors in burned areas and provides a scientific basis for guiding future ecological restoration.
Systematic Review and Meta-analysis of Ivermectin for Treatment of COVID-19: Evidence Beyond the Hype
Authors: Marcolino Milena Soriano , Meira Karina Cardoso , Guimarães Nathalia Sernizon , Motta Paula Perdigão , Chagas Victor Schulthais , Kelles Silvana Márcia Bruschi , Sá Laura Caetano , Valacio Reginaldo Aparecido , Ziegelmann Patrícia Klarmann 
Published: February 2022

Abstract
Background: The role of ivermectin in the treatment of COVID-19 is still under debate, yet the drug has been widely used in some parts of the world, as shown by impressive market data and ivermectin-related adverse event reports. The available body of evidence may have changed over the last months, as studies have been retracted and "standards of care" (SOC) used in control groups have changed with rapidly evolving knowledge on COVID-19 rapidly. This review aims to summarize and critically appraise the evidence of randomized controlled trials (RCTs) of ivermectin, assessing clinical outcomes in COVID-19 patients.Methods: RCTs evaluating the effects of ivermectin in adult patients with COVID-19 were searched through December 14, 2021, in four databases, L.OVE platform, clinical trial registries and pre-prints platforms. Primary endpoints included all-cause mortality and invasive ventilation requirement. Secondary endpoint was the occurrence of adverse events. Risk of bias was evaluated using the Cochrane Risk of Bias 2.0 tool. Random-effects were used to pool the risk ratios (RRs) of individual trials. The quality of evidence was evaluated using GRADE. Subgroup and sensitivity analysis were performed. The protocol was register in PROSPERO (CRD42021257471)Results: Twenty-one RCTs fulfilled inclusion criteria (n=2592). Of those, 12 compared ivermectin with placebo and in seven ivermectin associated with SOC was compared to SOC. Most RCTs had some concerns or high risk of bias, mostly due to lack of concealment of the randomization sequence and allocation, lack of blinding and high number of missing cases. Ivermectin did not show an effect in reducing mortality (RR=0.76; 95%CI:0.44 to 1.32) or mechanical ventilation (RR=0.83; 95%CI:0.31 to 2.22) in COVID-19 patients. This effect was consistent when comparing ivermectin vs. placebo, and ivermectin associated with SOC vs. SOC, as well as in sensitivity analysis. Additionally, there was very low quality of evidence regarding adverse effects (RR=0.95; 95%CI: 0.86 to 1.04).Conclusions: The evidence suggests that ivermectin does not reduce mortality risk and the risk of mechanical ventilation requirement. Although we did not observe an increase in the risk of adverse effects, the evidence is very uncertain regarding this endpoint.Funding: Research agencies FAPEMIG and CNPq.