bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integration of the concept of lean manufacturing and digital technologies of high-tech enterprises in modern conditions
Authors: Хорошавина Н.С. , Абрашкин М.С. 
Published: February 2021

Цифровые технологии существенно влияют на мировой рынок, внося коррективы в расстановку сил на нем. Используемые ранее подходы к управлению бизнес-процессами становятся не актуальными в современных условиях. Без цифровизации наукоемкие производства будут не способны выдержать конкурентную борьбу, и вынуждены будут уйти с рынка. В то же время современные условия хозяйствования диктуют необходимость постоянного совершенствования бизнес-процессов наукоемких предприятий, их оптимизации. Данные принципы являются основой концепции бережливое производство, реализация которых становится более эффективной при условии использования цифровых технологий. В статье рассмотрены вопросы интеграции концепции бережливое производство и цифровых технологий на наукоемких предприятиях. Показан пример успешной реализации принципов данной концепции с использованием цифровых подходов к оптимизации бизнес-процессов наукоемкого производства. В современных условиях важнейшим активом любого предприятия, в том числе и наукоемкого производства, являются данные. Реализация принципов бережливого производства требует обработки значительного объема информации. Цифровые технологии позволяют анализировать информационные потоки в режиме реального времени, моделировать бизнес-процессы и тем самым, способствуют более качественному и оперативному принятию решений по оптимизации бизнес-процессов наукоемких производств. Только объединив принципы концепции бережливое производство и возможности, которые дает цифровизация, наукоемкие предприятия смогут не просто удержать свои конкурентные позиции на рынке, но и перейти на более качественный уровень своего развития.
Digital technologies significantly affect the global market, making adjustments to the balance of power in it. Previously used approaches to business process management are no longer relevant in modern conditions. Without digitalization, high-tech industries will not be able to withstand competition and will be forced to leave the market. At the same time, modern business conditions dictate the need to constantly improve the business processes of high-tech enterprises and optimize them. These principles are the basis of the concept of lean manufacturing, the implementation of which becomes more effective when using digital technologies. The article deals with the integration of the concept of lean manufacturing and digital technologies in high-tech enterprises. An example of successful implementation of the principles of this concept using digital approaches to optimizing business processes in high-tech production is shown. In modern conditions, the most important asset of any.
Accounting and analytical support for the activities of budget institutions of the ministry of agriculture
Authors: Стукалова Г.Ю. 
Published: February 2021

Текущая экономическая обстановка обуславливает, что для управления хозяйствующими субъектами различных отраслей и направлений функционирования требуется информационный свод как финансового, так и нефинансового характера.
В настоящей статье исследуются и оцениваются целевые положения интегрированной отчетности, введена рекомендация по ее использованию в деятельности бюджетных учреждений Минсельхоза вместо текущей формируемой специализированной финансовой отчетности. Представлены и обусловлены несомненные «плюсы» и практичность от использования в практике интегрированной отчетности не только в качестве корпоративной отчетной формы, но и как отдельной отчетности учреждения сельскохозяйственной среды.
The current economic situation means that the management of economic entities in various industries and areas of operation requires an information set of both financial and non-financial nature.
This article examines and evaluates the target provisions of integrated reporting, and introduces a recommendation for its use in the activities of budget institutions of the Ministry of agriculture instead of the current generated specialized financial statements. There are presented and determined the undoubted «advantages» and practicality of using integrated reporting in practice not only as a corporate reporting form, but also as a separate report of an agricultural environment institution.
The problem of improving the efficiency of specialized aviation and space-rocket communication systems in the context of increasing flows of speech messages
Authors: Бабин В.С. 
Published: February 2021

Современный этап развития авиационных и ракетно-космических систем специальной связи характеризуется увеличением объемов речевых информационных сообщений. Речь придает эмоциональный окрас общению, а также позволяет выражать личные качества говорящего, чего гораздо сложнее добиться путем обмена видеозаписями или изображениями. Данные аспекты подтверждают, что, во-первых, растет спрос на голосовую связь, а, во-вторых, возникает проблема повышения эффективности ССС. Возможным направлением решения таковой проблемы целесообразно считать минимизацию затрат частотно-временных ресурсов, в основе которой лежит совершенствование методов обработки данных.
he current stage of development of aviation and rocket and space special communication systems is characterized by an increase in the volume of speech information messages. Speech gives an emotional color to communication, and also allows you to Express the personal qualities of the speaker, it is much more difficult to achieve by exchanging videos or images. These aspects confirm that, firstly, the demand for voice communication is growing, and, secondly, there is a problem of improving the efficiency of the CCC. It is advisable to consider minimizing the cost of time-frequency resources, which is based on improving data processing methods, as a possible way to solve this problem.
Predicting the infiltration characteristics for semi-arid regions using regression trees
Authors: Sihag Parveen , Kumar Munish , Sammen Saad Sh. 
Published: February 2021

Abstract
The study of the infiltration process is considered essential and necessary for all hydrology studies. Therefore, accurate predictions of infiltration characteristics are required to understand the behavior of the subsurface flow of water through the soil surface. The aim of the current study is to simulate and improve the prediction accuracy of the infiltration rate and cumulative infiltration of soil using regression tree methods. Experimental data recorded with a double ring infiltrometer for 17 different sites are used in this study. Three regression tree methods: random tree, random forest (RF) and M5 tree, are employed to model the infiltration characteristics using basic soil characteristics. The performance of the modelling approaches is compared in predicting the infiltration rate as well as cumulative infiltration, and the obtained results suggest that the performance of the RF model is better than the other applied models with coefficient of determination (R2) = 0.97 and 0.97, root mean square error (RMSE) = 8.10 and 6.96 and mean absolute error (MAE) = 5.74 and 4.44 for infiltration rate and cumulative infiltration respectively. The RF model is used to represent the infiltration characteristics of the study area. Moreover, parametric sensitivity is adopted to study the significance of each input parameter in estimating the infiltration process. The results suggest that time (t) is the most influencing parameter in predicting the infiltration process using this data set.
Transcriptional Control of the Oxidative Stress Response and Implications
of Using Plant Derived Molecules for Therapeutic Interventions
in Cancer
Authors: Rizvi Asim , Farhan Mohd , Nabi Faisal , Khan Rizwan Hasan , Adil Mohd , Ahmad Aamir 
Published: February 2021

:
The oxidative stress response is critical for malignant cells. It plays a dual role
by helping cancer cells survive and proliferate but also causing apoptosis and apoptosis--
like cell death. The oxidative stress response is characterized by tight regulation of gene
expression by a series of transcription factors (OSRts; oxidative stress response transcription
factors). In this communication, we review the role of OSRts, notably NRF2 and
p53 as well as other transcription factors that modulate the response. We discuss how hierarchal
the oxidative stress response is and controls ‘live or die’ signals. This is followed
by a discussion on how plant-derived molecules, including polyphenols, which are
described both as prooxidants and antioxidants within the cancer cells, have been reported
to affect the activities of OSRts. Deriving an example from preliminary data from our
group, we discuss how plant-derived molecules might modulate the oxidative stress response
by causing structural perturbations in the proteinaceous transcription factors,
notably Nrf2 and p53. We look at this information in the light of understanding how
plant derived molecules may be used as lead compounds to develop modulators of the
oxidative stress response.
DL-SMILES#: A Novel Encoding Scheme for Predicting Compound
Protein Affinity Using Deep Learning
Authors: Wang Shudong , Liu Jiali , Ding Mao , Gao Yijun , Liu Dayan , Tian Qingyu , Zhu Jinfu 
Published: February 2021

Introduction:
Drug repositioning aims to screen drugs and therapeutic goals from
approved drugs and abandoned compounds that have been identified as safe. This trend is changing
the landscape of drug development and creating a model of drug repositioning for new drug
development. In the recent decade, machine learning methods have been applied to predict the
binding affinity of compound proteins, while deep learning is recently becoming prominent and
achieving significant performances. Among the models, the way of representing the compounds is
usually simple, which is the molecular fingerprints, i.e., a single SMILES string.

Methods:
In this study, we improve previous work by proposing a novel representing manner,
named SMILES#, to recode the SMILES string. This approach takes into account the properties of
compounds and achieves superior performance. After that, we propose a deep learning model that
combines recurrent neural networks with a convolutional neural network with an attention
mechanism, using unlabeled data and labeled data to jointly encode molecules and predict binding
affinity.

Results:
Experimental results show that SMILES# with compound properties can effectively
improve the accuracy of the model and reduce the RMS error on most data sets.

Conclusion:
We used the method to verify the related and unrelated compounds with the same target, and the
experimental results show the effectiveness of the method.
An Improved Computational Prediction Model for Lysine Succinylation Sites Mapping on Homo sapiens by Fusing Three Sequence Encoding Schemes with the Random Forest Classifier
Authors: Tasmia Samme Amena , Ahmed Fee Faysal , Mosharaf Parvez , Hasan Mehedi , Mollah Nurul Haque 
Published: February 2021

Background:
Lysine succinylation is one of the reversible protein post-translational modifications
(PTMs), which regulate the structure and function of proteins. It plays a significant role in
various cellular physiologies including some diseases of human as well as many other organisms.
The accurate identification of succinylation site is essential to understand the various biological
functions and drug development.

Methods::
In this study, we developed an improved method to predict lysine succinylation sites mapping
on Homo sapiens by the fusion of three encoding schemes such as binary, the composition of kspaced
amino acid pairs (CKSAAP) and amino acid composition (AAC) with the random forest
(RF) classifier. The prediction performance of the proposed random forest (RF) based on the fusion
model in a comparison of other candidates was investigated by using 20-fold cross-validation (CV)
and two independent test datasets were collected from two different sources.

Results:
The CV results showed that the proposed predictor achieves the highest scores of sensitivity
(SN) as 0.800, specificity (SP) as 0.902, accuracy (ACC) as 0.919, Mathew correlation coefficient
(MCC) as 0.766 and partial AUC (pAUC) as 0.163 at a false-positive rate (FPR) = 0.10 and area under
the ROC curve (AUC) as 0.958. It achieved the highest performance scores of SN as 0.811, SP
as 0.902, ACC as 0.891, MCC as 0.629 and pAUC as 0.139 and AUC as 0.921 for the independent
test protein set-1 and SN as 0.772, SP as 0.901, ACC as 0.836, MCC as 0.677 and pAUC as 0.141 at
FPR = 0.10 and AUC as 0.923 for the independent test protein set-2. It also outperformed all the
other existing prediction models.

Conclusion:
The prediction performances as discussed in this article recommend that the proposed
method might be a useful and encouraging computational resource for lysine succinylation site prediction
in the case of human population.
Phyto-Compounds from a Rather Poisonous Plant, Strychnos nuxvomica,
Show High Potency Against SARS-CoV-2 RNA-Dependent
RNA Polymerase
Authors: Balkrishna Acharya , Pokhrel Subarna , Varshney Anurag 
Published: February 2021

Background:
The establishment of strategy to inhibit the virus replication is
an attractive means in combating SARS-CoV-2 infection.

Objective:
We studied phyto-compounds from Strychnos nux-vomica (a poisonous
plant) against SARS-CoV-2 RNA-dependent RNA polymerase by computational
methods.

Method:
Molecular docking, molecular dynamics (MD) simulation and energetics
calculations were employed to elucidate the role of the phyto-compounds.

Results:
Ergotamine with a binding free energy of -14.39 kcal/mol showed a promising
capability in terms of binding affinity and the interaction to conserved motifs, especially
the SDD signature sequence. The calculated dissociation constants for ATP,
ergotamine, isosungucine and sungucine were 12 μM, 0.072 nM, 0.011 nM and 0.152
nM, respectively. The exhibited kd by these phyto-compounds reflected tens of
thousands fold potency as compared to ATP. The binding free energies of sungucine
and isosungucine were much lower (-13.93 and -15.55 kcal/mol, respectively) compared
to that of ATP (-6.98 kcal/mol).

Conclusion:
Sharing the same binding location as that of ATP and having high binding
affinities, Ergotamine, Isosungucine, Sungucine and Strychnine N-oxide could be
effective in controlling the SARS-CoV-2 virus replication by blocking the ATP and
inhibiting the enzyme function.
Synthetic and Reactions Routes to Tetrahydrothieno[3,2-b]Quinoline Derivatives (Part IV)
Authors: Abu-Hashem Ameen A. , Abdelgawad Ahmed A. M. , Hussein Hoda A. R. , Gouda Moustafa A. 
Published: February 2021

Abstract:This review describes the synthesis and chemical reactivity of tetrahydrothieno[3,2-b] quinoline derivatives from through many of the reagents such as; 1, 2-dihydropyridine-3-carbonitrile; 1,6-dihydropyrimidine-5-carbonitrile; 2,3-dihydropyridazine-4-carbonitrile; 3-amino-thiophene-2-carboxylate; 3-amino-thiophene-2-carbonitrile; 3,4-diaminothieno[2,3-b] thiophene-2,5-dicarbo- nitrile; 2-(3-bromo-1-iodoisoquinolin-8-yl) benzonitrile and 3-mercapto-benzo[g]quinolin-4(1H)-one derivatives. The synthesis of the tetrahydrothieno [3, 2-b] quinoline derivatives were explained through the following chemical reactions: Aldol condensation, alkylation, cyclocondensation, dehydration, chlorination, Wolff-Kishner reduction, acylation, Friedlander reaction and intramolecular cyclization.
Antidyslipidemic Capacity of Cleome arabica (L.) in Streptozotocin-Induced Diabetic Rats
Authors: Amssayef Ayoub , Eddouks Mohamed 
Published: February 2021

Aims:
The aim of the study was to assess the effect of Cleome arabica on lipid metabolism.

Background:
Cleome arabica (L.) is a medicinal plant used traditionally by the population of North Africa for managing diabetes mellitus.

Objective:
This study was designed to evaluate the antidyslipidemic and antiatherogenic capacities of Cleome arabica (L.) in normal and streptozotocin(STZ)-induced diabetic rats.

Methods:
The hypolipidemic, antihyperglycemic and antiatherogenic effects of oral administration of the aqueous extract of Cleome arabica (CAAE) (100 mg/kg) were evaluated in normal and diabetic rats. In addition, the quantification of polyphenols, flavonoids and tannins as well as the antioxidant activity were performed.

Results :
The results showed that the extract (CAAE) revealed an antidyslipidemic action by attenuating plasma levels of Total Cholesterol (TC), Triglycerides (TGs), Low-Density Lipoprotein cholesterol (LDL-c), Very low-density lipoprotein cholesterol (VLDL-c) and glucose. Additionally, CAAE exhibited a potent antiatherogenic activity by reducing Atherogenic Coefficient (AC), Castelli’s Risk index-I (cri-I), and Castelli’s Risk Index-II (CRI-II). Furthermore, the findings indicated that CAAE is abundant with polyphenols, flavonoids and tannins, and exhibited an important antioxidant capacity.

Conclusion:
The study demonstrates that aqueous Cleome arabica extract was able to ameliorate lipid abnormalities associated with diabetes mellitus. This pharmacological activity might be due to the antioxidant capacities of phytochemical compounds.
An Approach of Estimating the Effect of Replacement of Conventional Vehicles by L-category Vehicles on Fuel Consumption and Emissions
Authors: Gao Jianbing , Chen Haibo , Chen Junyan , Liu Ye 
Published: February 2021

Background and Objective:
In order to investigate the effect of electric L-category vehicles
(EL-Vs) on traffic characteristics of urban roads, fuel consumption and exhaust emissions, existing
technologies including traffic characteristics, vehicle performance, etc. were used.

Methods:
The relations among traffic density, traffic flow, and traffic speeds were reviewed based
on the real test data in different areas.

Results:
One of the test data was chosen to get the mathematical equations between traffic density
and traffic speed for congested urban roads.

Conclusion:
Then, the equations were used to estimate the reductions in the vehicle fuel consumption
and exhaust emissions brought by the improved traffic situation due to the applications of
ELVs.
Convalescent Plasma for the Prevention and Treatment of COVID-19: A Systematic Review and Quantitative Analysis
Authors: Peng Henry T , Rhind Shawn G , Beckett Andrew 
Published: February 2021

Background
The COVID-19 pandemic, caused by a novel coronavirus termed SARS-CoV-2, has spread quickly worldwide. Convalescent plasma (CP) obtained from patients following recovery from COVID-19 infection and development of antibodies against the virus is an attractive option for either prophylactic or therapeutic treatment, since antibodies may have direct or indirect antiviral activities and immunotherapy has proven effective in principle and in many clinical reports.

Objective
We seek to characterize the latest advances and evidence in the use of CP for COVID-19 through a systematic review and quantitative analysis, identify knowledge gaps in this setting, and offer recommendations and directives for future research.

Methods
PubMed, Web of Science, and Embase were continuously searched for studies assessing the use of CP for COVID-19, including clinical studies, commentaries, reviews, guidelines or protocols, and in vitro testing of CP antibodies. The screening process and data extraction were performed according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Quality appraisal of all clinical studies was conducted using a universal tool independent of study designs. A meta-analysis of case-control and randomized controlled trials (RCTs) was conducted using a random-effects model.

Results
Substantial literature has been published covering various aspects of CP therapy for COVID-19. Of the references included in this review, a total of 243 eligible studies including 64 clinical studies, 79 commentary articles, 46 reviews, 19 guidance and protocols, and 35 in vitro testing of CP antibodies matched the criteria. Positive results have been mostly observed so far when using CP for the treatment of COVID-19. There were remarkable heterogeneities in the CP therapy with respect to patient demographics, donor antibody titers, and time and dose of CP administration. The studies assessing the safety of CP treatment reported low incidence of adverse events. Most clinical studies, in particular case reports and case series, had poor quality. Only 1 RCT was of high quality. Randomized and nonrandomized data were found in 2 and 11 studies, respectively, and were included for meta-analysis, suggesting that CP could reduce mortality and increase viral clearance. Despite promising pilot studies, the benefits of CP treatment can only be clearly established through carefully designed RCTs.

Conclusions
There is developing support for CP therapy, particularly for patients who are critically ill or mechanically ventilated and resistant to antivirals and supportive care. These studies provide important lessons that should inform the planning of well-designed RCTs to generate more robust knowledge for the efficacy of CP in patients with COVID-19. Future research is necessary to fill the knowledge gap regarding prevention and treatment for patients with COVID-19 with CP while other therapeutics are being developed.
Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review
Authors: Tokgöz Pinar , Hrynyschyn Robert , Hafner Jessica , Schönfeld Simone , Dockweiler Christoph 
Published: February 2021

Background
Depression is a major cause for disability worldwide, and digital health interventions are expected to be an augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need for mapping the technological landscape and its benefits for users.

Objective
The purpose of this scoping review was to give an overview of the digital health interventions used for depression. The main goal of this review was to provide a comprehensive review of the system landscape and its technological state and functions, as well as its evidence and benefits for users.

Methods
A scoping review was conducted to provide a comprehensive overview of the field of digital health interventions for the treatment of depression. PubMed, PSYNDEX, and the Cochrane Library were searched by two independent researchers in October 2020 to identify relevant publications of the last 10 years, which were examined using the inclusion and exclusion criteria. To conduct the review, we used Rayyan, a freely available web tool.

Results
In total, 65 studies were included in the qualitative synthesis. After categorizing the studies into the areas of prevention, early detection, therapy, and relapse prevention, we found dominant numbers of studies in the area of therapy (n=52). There was only one study for prevention, 5 studies for early detection, and 7 studies for relapse prevention. The most dominant therapy approaches were cognitive behavioral therapy, acceptance and commitment therapy, and problem-solving therapy. Most of the studies revealed significant effects of digital health interventions when cognitive behavioral therapy was applied. Cognitive behavioral therapy as the most dominant form was often provided through web-based systems. Combined interventions consisting of web-based and smartphone-based approaches are increasingly found.

Conclusions
Digital health interventions for treating depression are quite comprehensive. There are different interventions focusing on different fields of care. While most interventions can be beneficial to achieve a better depression treatment, it can be difficult to determine which approaches are suitable. Cognitive behavioral therapy through digital health interventions has shown good effects in the treatment of depression, but treatment for depression still stays very individualistic.