bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Novel Immunological Biomarkers as Potential Determinants of Chronic Inflammation in Virologically Suppressed HIV-1 Positive Patients Receiving Antiretroviral Therapy
Authors: Maritati Martina , Alessandro Trentini , Zanotta Nunzia , Comar Manola , Bellini Tiziana , Sighinolfi Laura , Contini Carlo
Published: June 2020

Background:Although HIV-related deaths have decreased dramatically following the introduction of antiretroviral therapy (ART), HIV infection itself causes increased morbidity and mortality for both non-AIDS-related events or chronic inflammation and immune activation. The use of certain antiretroviral drugs can contribute to this process. Methods:We investigated 26 potential biomarkers in serum samples from HIV-1 infected patients virologically suppressed under ART. The mailobjective of our study was to evaluate if virological suppression achieved with a triple drug regimen containing tenofovir disoproxil fumarate co-formulated with emtricitabine (TDF/FTC) as backbone, could correlate with a better immunological and inflammatory profile in relation to the third class of antiretroviral drug administered. The eligible patients were then divided into 3 groups in relation to the third drug associated with TDF/FTC : NNRTI (Group 1, n=18), + PI (Group 2, n=18) and INI (Group 3, n=18). Results: Traditionally, inflammatory cytokines and chemokines were more represented in Group 2 than in Group 3 (IL-1Ra, p=0.013; IL-12p70 p=0.039; TNF-α p=0.041; IL-8, p=0.027; MIP1 β, p=0.033). Eotaxin showed lower levels in Group 1 compared to Group 2 (p=0.010), while IP-10 was significantly lower in Group 1 compared to both Group 2 and Group 3 (p=0.003 and p=0.007, respectively).Conclusions: our results seem to discourage the administration of PI as a third drug in a virologically effective antiretroviral regimen, as its use is linked to the detection of higher levels of pro-inflammatory mediators than INI and NNRTI.
Determination of 5-Hydroxymethylfurfural, NƐ-(Carboxymethyl)Lysine and NƐ-(Carboxyethyl)Lysine in 16 Traditional Chinese Medicine Injections Based on HPLC and UPLC-MS/MS
Authors: Zhang Lei , Gong Ruize , Liu Chang , Sun Yinshi
Published: June 2020

Background: Traditional Chinese medicine injections (TCMIs) are widely applied to treat many chronic diseases. However, product quality problems occur occasionally due to unknown constituents in TCMIs. 5-hydroxymethylfurfural (5-HMF), NƐ-(carboxymethyl)lysine (CML) and NƐ-(carboxyethyl)lysine (CEL) are three compounds generated during food and Chinese medicinal herb processing and may be harmful to human health. Methods: In this study, the contents of 5-HMF, CML and CEL were determined by high-performance liquid chromatography (HPLC) and ultra-performance liquid chromatography (UPLC). For 5-HMF, the separation was performed on a Hypersil ODS2 column (250 mm×4.6 mm, 5 µm), and the column temperature was set at 30℃. The mobile phase was composed of water-methanol (95:5) at a flow rate of 1.0 mL/min. For CML and CEL, separation was performed on a CORTECS HILIC UPLC column (2.1 mm×50 mm, 1.6 µm), and the column temperature was set at 40℃. The mobile phase was composed of acetonitrile-water (3:7) at a flow rate of 0.3 mL/min. Multiple-reaction monitoring mode was employed for analyte determination with positive ionization. Results: The contents of 5-HMF in 16 TCMIs varied from 0.19 to 74.98 µg/mL, with a larger variation than the contents of CML and CEL. The Ciwujia injection had the highest content of 5-HMF, and the Qingkailing injection had the lowest 5-HMF content. The contents of CML and CEL among these TCMIs were 0.51-7.32 ng·mL-1 and 0.38-5.49 ng·mL-1, respectively. The contents of CML and CEL in the Shuxuetong injection were much higher than in the others.Conclusions: The methods established in this study were simple, rapid and accurate and could provide a theoretical basis for the quality evaluation of TCMIs.
The golden rule of public finance under active monetary stance: endogenous setting for a developing economy
Authors: Shvets Serhii
Published: June 2020

The paper aims to verify the introduction of the golden rule of public finance under an active monetary stance for a developing economy using a dynamic stochastic general equilibrium model. Besides the two rigidities, namely the deep habit formation and Calvo-style price stickiness, the model structure incorporates real money holdings and welfare-enhancing government purchases in the utility-generating function and a modified Taylor rule. The simulation results have validated the visible crowding-out of private consumption and investment in the short run and a positive impact of the productive government spending on long-run growth, but with some important caveats. In the case of a developing economy that usually has low efficiency and high returns to public capital, the given factors prove significant in addressing the study issue. The results are robust in terms of the structure of utility-generating function, a relatively high share of liquidity-constrained households, and a degree of price stickiness. Moreover, to offset the debt accumulation as a result of increased public investment financing by persistent output growth, in the long run, the central bank should not only rely on response to the fluctuation of inflation and output but also account for a move of public debt.
Removal of phenolic compounds from aqueous solution using MgCl2-impregnated activated carbons derived from olive husk: the effect of chemical structures
Authors: Hamadneh Imad , Abu-Zurayk Rund A. , Al-Dujaili Ammar H.
Published: June 2020

Activated carbon (BC) prepared from olive oil solid waste (olive husk) by slow pyrolysis was chemically activated using MgCl2 (BC-MgCl2). The BC and BC-MgCl2 were used as adsorbents for removal of three phenolic compounds, namely, phenol (P), p-methoxyphenol (PMP) and p-nitrophenol (PNP), from aqueous solution. The uptake of these three phenolic compounds by the BC and BC-MgCl2 was better expressed by the Langmuir and Dubinin–Radushkevich (D-R) isotherm models than by the Freundlich isotherm, and the kinetics of the adsorption process followed the pseudo-second order kinetic model. The maximum monolayer adsorption capacity of P, PMP and PNP were increased from 24.938, 45.455 and 61.728 on BC to 43.860, 98.039 and 121.951 mg/g on BC-MgCl2 by factors of 1.76, 2.16 and 1.98, respectively. Therefore, the chemical activation of BC by MgCl2 is indeed of importance for improving its adsorption performances. For both adsorbents, the adsorption phenomenon for different substituted phenols is a strong function of solubility, polarity, molecule structure, and size. At the tested temperatures (25, 35 and 45 °C), the negative values of ΔG° and positive values of ΔH° and ΔS° for the adsorption of P, PMP and PNP on BC and BC-MgCl2 demonstrated that the adsorption was a spontaneous, endothermic and entropy-increasing process.
An Emerging Therapeutic Approach by Targeting Myoferlin (MYOF) for Malignant Tumors
Authors: Gu Haijun , Peng Yangrui , Chen Yihua
Published: June 2020

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Myoferlin (MYOF), as a member of the ferlin family, is a type II transmembrane protein with a single transmembrane domain at the carbon terminus. Studies have shown that MYOF is involved in pivotal physiological functions related to numerous cell membranes, such as extracellular secretion, endocytosis cycle, vesicle trafficking, membrane repair, membrane receptor recycling, and secreted protein efflux. Recently, the studies have also revealed that MYOF is overexpressed in a variety of cancers such as colorectal cancer, pancreatic cancer, breast cancer, melanoma, gastric cancer, and non-small-cell lung cancer. High expression of MYOF is associated with the high invasion of tumors and poor clinical prognosis. MYOF medicates the expression, secretion, and distribution of proteins, which were closely related to cancers, as well as the energy utilization of cancer cells, lipid metabolism and other physiological activities by regulating the physiological processes of membrane transport. In this short article, we briefly summarize the latest progress related to MYOF, indicating that small molecule inhibitors targeting the MYOF-C2D domain can selectively inhibit the proliferation and migration of cancer cells, and MYOF may be a promising target for the treatment of malignant tumors.
Transdermal Drug Delivery Systems and their Potential in Alzheimer’s Disease Management
Authors: Siafaka Panoraia I. , Bülbül Ece Ö. , Mutlu Gökce , Okur Mehmet E. , Karantas Ioannis D. , Okur Neslihan Ü.
Published: June 2020

Alzheimer's disease is a neuropathological disease with symptoms such as language problems, confusion as to place or time, loss of interest in activities, which were previously enjoyed, behavioral changes, and memory loss. Alzheimer's disease and other types of dementia affect almost 46.8 million people globally and are estimated to strike about 131.5 million people in 2050. It has been reported that Alzheimer's is the sixth main cause of mortality. The most used drugs, which are currently approved by the Food, and Drug Administration for Alzheimer’s disease are donepezil, rivastigmine, galantamine, memantine, and the combination of donepezil and memantine. However, most of the drugs present various adverse effects. Recently, the transdermal drug delivery route has gained increasing attention as an emerging tool for Alzheimer's disease management. Besides, transdermal drug delivery systems seem to provide hope for the management of various diseases, due to the advantages that they offer in comparison with oral dosage forms. Herein, the current advancements in transdermal studies with potent features to achieve better Alzheimer's disease management are presented. Many researchers have shown that the transdermal systems provide higher efficiency since the first-pass hepatic metabolism effect can be avoided and a prolonged drug release rate can be achieved. In summary, the transdermal administration of Alzheimer's drugs is an interesting and promising topic, which should be further elaborated and studied.
Ensemble Learning Models Based on Noninvasive Features for Type 2 Diabetes Screening: Model Development and Validation (Preprint)
Authors: Yang Tianzhou , Zhang Li , Yi Liwei , Feng Huawei , Li Shimeng , Chen Haoyu , Zhu Junfeng , Zhao Jian , Zeng Yingyue , Liu Hongsheng
Published: June 2020

BACKGROUND

Early diabetes screening can effectively reduce the burden of disease. However, natural population–based screening projects require a large number of resources. With the emergence and development of machine learning, researchers have started to pursue more flexible and efficient methods to screen or predict type 2 diabetes.

OBJECTIVE

The aim of this study was to build prediction models based on the ensemble learning method for diabetes screening to further improve the health status of the population in a noninvasive and inexpensive manner.

METHODS

The dataset for building and evaluating the diabetes prediction model was extracted from the National Health and Nutrition Examination Survey from 2011-2016. After data cleaning and feature selection, the dataset was split into a training set (80%, 2011-2014), test set (20%, 2011-2014) and validation set (2015-2016). Three simple machine learning methods (linear discriminant analysis, support vector machine, and random forest) and easy ensemble methods were used to build diabetes prediction models. The performance of the models was evaluated through 5-fold cross-validation and external validation. The Delong test (2-sided) was used to test the performance differences between the models.

RESULTS

We selected 8057 observations and 12 attributes from the database. In the 5-fold cross-validation, the three simple methods yielded highly predictive performance models with areas under the curve (AUCs) over 0.800, wherein the ensemble methods significantly outperformed the simple methods. When we evaluated the models in the test set and validation set, the same trends were observed. The ensemble model of linear discriminant analysis yielded the best performance, with an AUC of 0.849, an accuracy of 0.730, a sensitivity of 0.819, and a specificity of 0.709 in the validation set.

CONCLUSIONS

This study indicates that efficient screening using machine learning methods with noninvasive tests can be applied to a large population and achieve the objective of secondary prevention.
Beyond COVID-19: Telehealth Equity Considerations to Improve Access to Care (Preprint)
Authors: Blake Hassanatu
Published: June 2020

UNSTRUCTURED

Telehealth is now a fundamental health approach to address the coronavirus pandemic (COVID-19) globally. Since the declaration of the pandemic by the World Health Organization (WHO) in March 2020, there has been an overrepresentation of African American deaths, a greater demand of health services on disadvantaged health facilities in rural and urban US, and growing infection rates in some African countries with fragile health systems. With broad mobile utilization, telehealth provides accessibility to quality health care that addresses both COVID-19 and other health inequities. Future health interventions should focus on securely expanding telehealth offline and via social media to minimize health disparities in vulnerable populations during pandemics and beyond.
Aspect-Based Sentiment Analysis of Online Marketplace Reviews Using Convolutional Neural Network
Authors: Ari Bangsa MHD Theo , Priyanta Sigit , Suyanto Yohanes
Published: June 2020

Most online stores provide product review facilities that contain responses to a product. The number of reviews makes it difficult for potential customers to make conclusions, so that sentiment analysis is needed to extract information from these reviews. Most sentiment analysis is done at the document level, so the results were still lacking in detail because the classification is based on the entire sentence or document and does not identify the specific aspect discussed. This research aims to classify aspect-based sentiments from online store reviews using the convolutional neural network (CNN) method with the extraction of features using Word2Vec. The dataset used is Indonesian review data from the site bukalapak.com. The test results on the built system showed that CNN's method of Word2Vec feature extraction has a better score than the naive bayes method with an accuracy value of 85.54%, 96.12% precision, 88.39% recall, and f-measure 92.02%. Classification without using stemming preprocessing on the dataset increases the accuracy by 2.77%.
Bidirectional Long Short Term Memory Method and Word2vec Extraction Approach for Hate Speech Detection
Authors: Isnain Auliya Rahman , Sihabuddin Agus , Suyanto Yohanes
Published: June 2020

Currently, the discussion about hate speech in Indonesia is warm, primarily through social media. Hate speech is communication that disparages a person or group based on characteristics such as (race, ethnicity, gender, citizenship, religion and organization). Twitter is one of the social media that someone uses to express their feelings and opinions through tweets, including tweets that contain expressions of hatred because Twitter has a significant influence on the success or destruction of one's image.This study aims to detect hate speech or not hate Indonesian speech tweets by using the Bidirectional Long Short Term Memory method and the word2vec feature extraction method with Continuous bag-of-word (CBOW) architecture. For testing the BiLSTM purpose with the calculation of the value of accuracy, precision, recall, and F-measure.The use of word2vec and the Bidirectional Long Short Term Memory method with CBOW architecture, with epoch 10, learning rate 0.001 and the number of neurons 200 on the hidden layer, produce an accuracy rate of 94.66%, with each precision value of 99.08%, recall 93, 74% and F-measure 96.29%. In contrast, the Bidirectional Long Short Term Memory with three layers has an accuracy of 96.93%. The addition of one layer to BiLSTM increased by 2.27%.
ПРОИЗВОДСТВО ПЕЧАТНЫХ ПЛАТ ИЗ МНОГОСЛОЙНОЙ КЕРАМИКИ
Authors: Яковлев Д.
Published: June 2020

Рассмотрены основные этапы изготовления керамических печатных плат, технологические нюансы и особенности производственного цикла, освоенного в АО «ТЕСТПРИБОР». Показана практическая и технологическая ценность технической керамики как материала для изготовления печатных плат.
НАШ ДОЛГ – ПРОЯВИТЬ МАКСИМАЛЬНУЮ СОЛИДАРНОСТЬ И ПОМОЧЬ ПРЕДПРИЯТИЯМ В АДАПТАЦИИ К НОВОЙ РЕАЛЬНОСТИ
Authors: Липкин Е.Б.
Published: June 2020

В настоящее время каждый из нас независимо от того, насколько успела пострадать от наступившего кризиса отрасль или конкретная компания, переживает стресс. Пандемия COVID‑19 запустила часы нового времени, не только потребовав мобилизации ресурсов предприятий и жесткого финансового планирования, но и заставив почувствовать важность солидарности и взаимной поддержки. О том, какие изменения происходят сегодня в отрасли, как меняются коммуникации между участниками рынка и сотрудниками внутри организаций, как поддержать друг друга в непростые времена, мы поговорили с генеральным директором ООО «Остек-­СМТ» Евгением Борисовичем Липкиным.
ВЫСОКАЯ ПРОИЗВОДИТЕЛЬНОСТЬ – ЭТО НЕ ТОЛЬКО БÓЛЬШИЕ ОБЪЕМЫ ПРОИЗВОДСТВА, НО И ВОЗМОЖНОСТЬ БОЛЕЕ ТОЧНОГО ПРОГНОЗИРОВАНИЯ СРОКОВ ДЛЯ ЗАКАЗЧИКА. ВИЗИТ НА ПРОИЗВОДСТВО ЗАО «ФОРТЭКС»
Authors: Ковалевский Ю.
Published: June 2020

В ноябре 2019 года на производстве компании «Фортэкс» – ​разработчика приборов учета электроэнергии и других электронных устройств и контрактного производителя, расположенного в Санкт-­Петербурге – ​была запущена обновленная линия поверхностного монтажа, а в начале этой весны в данной линии заработала новая установка трафаретной печати, сменившая последнюю единицу оборудования, оставшуюся от старой линии.

В марте мы побывали на производственной площадке компании, познакомились с составом оборудования новой линии, а также узнали, какие цели преследовались данной модернизацией, почему была заменена вся линия за очень короткий промежуток времени и какие новые возможности появились у компании с ее вводом в эксплуатацию. Показал нам новую линию и ответил на наши вопросы Михаил Дмитриевич Бурылов, заместитель генерального директора по продажам и маркетингу ЗАО «Фортэкс». Михаил Дмитриевич, компания «Фортэкс» начинала свою деятельность с разработки электросчетчиков. Когда появилась необходимость в создании собственного производства и почему?
МОЩНЫЕ СВЧ И ПЕРЕКЛЮЧАЮЩИЕ ТРАНЗИСТОРЫ НА ОСНОВЕ НИТРИДА ГАЛЛИЯ
Authors: Бельков В. , Цоцорин А. , Семейкин И. , Черных М.
Published: June 2020

В АО «НИИЭТ» создан ряд мощных СВЧ-транзисторов с мощностью 400 Вт в диапазоне частот до 1,6 ГГц и мощностью до 80 Вт в диапазоне частот до 12 ГГц. Представлен также ряд силовых переключающих транзисторов с напряжением сток-исток 100, 200 и 650 В
КОНФОРМНО ИНТЕГРИРУЕМАЯ ЭЛЕКТРОННАЯ КОМПОНЕНТНАЯ БАЗА ГИБКОЙ ПЕЧАТНОЙ ЭЛЕКТРОНИКИ ДЛЯ ИНТЕРНЕТА ЛЮДЕЙ
Authors: Лучинин В. , Бохов О. , Мандрик И. , Старцев В. , Афанасьев П. , Аньчков М. , Пудова А. , Никонова В. , Шевченко С.
Published: June 2020

Рассмотрены комплекс конструкторско-­технологических решений и практическая реализация конформно интегрируемой электронной компонентной базы гибкой печатной электроники, которые могут эффективно использоваться в системах Интернета людей.
Optimization of the Engine Operation Mode at Vector Control
Authors: Morozov A. V. , Barsukov V. K.
Published: June 2020

Для регулирования вращающего момента асинхронного двигателя применяется векторное управление, позволяющее формировать необходимые значения пространственных векторов тока и напряжения статора в любой момент времени. В статье приведены результаты исследования параметров тягового асинхронного привода технологической электротележки при использовании различных критериев оптимизации значений величин. Исследован критерий минимума тока статора, который выполняется при равенстве проекций вектора тока на оси синхронной системы отсчета. Также исследован критерий минимизации потерь мощности в двигателе и предложен способ его обеспечения на основе известных данных опытов холостого хода и короткого замыкания и параметров схемы замещения двигателя. Все составляющие мощности потерь – потери в обмотках статора и ротора, магнитопроводе статора – выражаются в виде функций продольного тока статора, после чего находится экстремум их суммы.  Результаты расчета затрат энергии и потерь мощности в двигателе при выполнении одного рабочего цикла позволяют говорить о том, что  предложенный способ расчета и задания продольного и поперечного токов обеспечивает КПД двигателя в среднем на 3 процента больший, чем при поддержании минимума тока статора.
Neural Network Model for Forecasting Human Capital
Authors: Vavilova D. D. , Ketova K. V.
Published: June 2020

Целью данной работы является применение нейросетевого моделирования и адаптация его алгоритмов для прогнозирования величины, структуры и динамики человеческого капитала региона. Статистической базой служат данные по демографии, объемам инвестирования в человеческий капитал региональной системы, а также индикаторы направлений социально-экономического развития региона. Суммарные объемы инвестиций в человеческий капитал определяют расходы бюджета и частные инвестиции граждан в капитал образования, здравоохранения и культуры. Прогноз величины, структуры и динамики человеческого капитала построен с помощью нейросетевой модели, которая представляет собой многослойную сеть с последовательными связями, обученную методом обратного распространения ошибок. Нейросетевая модель прогнозирования объемов частных и бюджетных инвестиций в составляющие человеческого капитала региона показала свою эффективность. Оценка человеческого капитала за период 2000–2018 гг. и его прогноз на период 2019–2023 гг. выполнен на примере региональной экономической системы Удмуртской Республики. Полученные результаты качественно коррелируют с динамикой индекса человеческого развития России, определяемого специалистами ООН. Предложенная методика расчета и прогноза человеческого капитала может быть использована для оценки и сравнительного анализа состояния социально-экономического развития регионов РФ.
Biological Potential of Caesalpinia bonducella Seeds: A Review
Authors: Gadakh M.J. , Jadhav R.S. , Vikhe D.N.
Published: June 2020

Caesalpinia bonducella L. is a medicinal plant belonging to the family Caesalpiniaceae. The plant is found in all over India. The plant is a large prickly shrub. It is popular in indigenous system of medicine like Ayurveda, Siddha, Homoeopathy and Unani. In Indian traditional plant medicine, it has been considered as an important remedy for the treatment of several diseases. The plant has been reported to possess antimalarial, antifungal, antioxidant, anticancer, antipyretic, antifertility antiviral and antimalarial etc. activities of various parts of C bonducella plant. It can be concluded that C. bonducella can become the best source of medicine in future on various ailments with further investigations. Hence attempts have been made to take collect and compile the information about the traditional use of various parts of C.bonducella in various ailments, chemical constituents from various parts and the effective use of various extracts for treatment of different diseases.

Keywords:  Caesalpinia bonducella , Pharmacology, Nutritional Values.
Immunomodulators for Curtailing COVID-19: a Positive Approach
Authors: Bhat Shabir Ahmad , Rather Shameem Ahmad , Iqbal Arsheed , Qureshi Haider Ali , Islam Naquibul
Published: June 2020

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is highly infectious, spreading swiftly from man to man which has not been previously recognized in humans. World Health Organization (WHO) on February 11, 2020 named the infection as COVID-19 as an acronym for ‘coronavirus disease-2019’ and on March 11, 2020 declared the outbreak as pandemic. It affects all the people without discrimination, however, older, immune compromised are more susceptible. The virus chiefly spread through droplet infection from infected person to healthy one by coughing, sneezing or with infected hands when touched to eyes, nose or mouth. Symptoms of the infection range from mild to severe ones. In severe cases (approx. 14% of cases) fever typically of high grade (104oF), breathlessness, pneumonia and severe acute respiratory syndrome may appear. So far no specific treatment or vaccine for novel coronavirus-2019 is there. From the past and recent past experiences we have learnt that herbal medicines have proven beneficial against various dreadful viral infections. Assessment of immune enhancing herbs in this paper may definitely be helpful for the body to fight COVID-19 infection.

Keywords:   Severe acute respiratory syndrome coronavirus-2, COVID-19, Pneumonia, Immune, Herbs
Biological Markers as a Novel Approach in Clinical Diagnosis and Management of Diseases
Authors: OROLE Olukayode Olugbenga , NEVKAA Dooshima Ngulianga , TERNA Faith Chidinma , OLOKUN Alexander Lanzema , LAMINI Jebes Ngolo , SALAMI Oluwafemi Matthew
Published: June 2020

The adoption and use of biological marker also known as biomarkers in clinical studies and management of disease conditions spans over 40 years. Biological marker are measurable biochemical or molecular alterations that can be adopted as indicator of normal biological or responses to the action of pathogen or pharmacological responses to a therapeutic intervention. Molecules, macro and micro molecules, metabolites, and chemical compounds from the body adopted for use in predicting and monitoring health outcomes are constant from individual to another which qualify them as standard biomarker parameters. Use of biological markers spans clinical screening of an underlying cause of disease, prognosis, predisposition to a disease condition and predicting outcomes of treatment. In the environment, biological markers can be applied to determine the effects of xenobiotic chemicals and reaction effect on living cell. A good marker while being specific, should be easy to measure, cheap, provide correct measurement and outcomes. The objective of this review paper is highlight the different types of biological markers and areas where they are applicable.
Cell Biology in Rheumatoid Arthritis
Authors: Sahu Lukeshwari , Rao S. Prakash , Verma Mahendra , Kumar Akhilesh , Sahu Rajendra , Kumar Dhanesh , Yadav Chandrakant
Published: June 2020

Rheumatoid arthritis (RA) is a systemic autoimmune disease, which affects about 0.33 to 2.65% of the population. In RA Synovium contain various type of immune cell. In which only one cell population cannot cause rheumatoid arthritis that requires more than one cell population. In normal condition, they act as a switch (active or inactive the cell signaling). It controls cell growth, proliferation or metastasizes. In an autoimmune disorder such as rheumatoid arthritis, the immune system mistakenly attacks and destroys the body's cells and tissues. Mostly cells are present in limited numbers in normal human synovium, but in rheumatoid arthritis and other inflammatory joint diseases, this population can expand to constitute 5-20% or more of all synovial cells. Recent investigations in a murine model have demonstrated that cells can have a critical role in the generation of inflammation within the joint.

Keyword: Cell Biology in rheumatic arthritis; Dendrite cell; T-cell; Mast cell; Fibroblastic cell; Macrophages cell.
A Novel Coronavirus (nCOV- 2019): A Pandemic Severe Respiratory Tract Infections by SARS COV-2 in Human
Authors: Jadhao Vikram , Bodhe Roshan , Mahajan Hitendra , Jadhav Vikram , Patil Kishor , Baheti Nupur , Kale Neha
Published: June 2020

Novel Coronavirus Disease 2019 (nCOV 2019) or Coronavirus is one which is associate communicable disease amongst variety of viruses that causes cold, fever, difficulty in breathing and ultimately death. The viruses cause metabolism infections, together with the mundane cold, that square measure usually delicate, although a lot of occasional forms like respiratory illness caused by SARS-CoV-2, the illness is that the reason for the 2019–20 coronavirus irruption. It’s primarily unfolded between individuals by diminutive droplets from infected people once they breathe or cough. Individuals could have few symptoms or develop febrility, cough, and shortness of breath. Whereas Feb 2020, different countries together with European country Asian Countries enclosed within the list. Antiviral drugs being tested embrace antimalarial drug, the ribonucleic acid enzyme substance remdesivir, and triazavirin, Umifenovir (Arbidol) and darunavir were planned. Remdesivir and antimalarial drug effectively inhibit the coronavirus in vitro. Favilavir approved as experimental corona virus drug. The objective of this review article to provide basic knowledge & preliminary opinion and to provide an advice which can be proved as the best mantra for defeating nCOV. Thus this review aims to throw light to the new and exciting areas of Virology,  Replication  cycle of corona virus ,  sign & symptoms and diagnosis, Spreading of corona virus, Structural biology of corona virus, the ways of treatment with  alternative medicines  other than antiviral drugs,  and prevention in its early stage of COVID-19 , and also Current Research on Corona.

Keywords: Coronavirus, 2019-nCOV2, 2019–20 coronavirus irruption, SARS, WHO, Public Health Emergency of International Concern (PHEIC), replication of corona virus.
In-Vitro Antibacterial Activity of Endophytic Fungi from Peganum harmala (Laghouat, Algeria)
Authors: Ouzid Yasmina , Karaoui Siliya , Saadoun Noria Smail , Houali Karim
Published: June 2020

Medicinal plants are an inexhaustible source of molecules. They are colonized by mycoendophytes, fungi living in their tissues without apparent symptoms. These fungi can provide secondary metabolites with biological activities. It is with this in mind that we are interested in a spontaneous plant from the dayas region (Laghouat, Algeria): Peganum harmala or Harmel, a toxic medicinal plant belonging to the family Zygophyllaceae. Our study consists in highlighting the antibacterial activity of four kinds of mycoendophytes: Cladosporium, Alternaria, Aspergillus and Penicillium isolated from the leaves of this plant. The antibacterial activity is evaluated by the technique of the double disk diffusion on agar with respect to some Gram-positive bacterial strains. We have adopted two protocols for this purpose. For the first, the mycelia of all the mushrooms are deposited in the same petri dish. For the second, a single disc of the mycelium of a single species is deposited per box. The results obtained show a difference in the sensitivity of the bacterial strains to the bioactive substances of the mycoendophytes studied. The Alternaria genus showed the most significant activity. ANOVA performed between the mean diameters of the mycoendophyte inhibition zones and the antibiotic test disc: Chloramphenicol showed a highly significant difference between these two measurements. The Newman-Keuls test revealed a difference in the susceptibility of bacterial strains to the secondary metabolites of fungus mycoendophytes of Peganum harmala according to the two protocols used. The antibacterial effect is related to interactions between endophytic fungi and their host plant.
Computational Quantum Chemical Study, Drug-Likeness and In Silico Cytotoxicity Evaluation of Some Steroidal Anti-Inflammatory Drugs
Authors: Bououden Walid , Benguerba Yacine
Published: June 2020

This paper contains a theoretical study of ten Anti-inflammatory steroids (AIS) on the understanding of the relationship between the structure and activity of the drug, the pharmacokinetic parameters responsible for bioavailability and bioactivity and finally the toxicity evaluation. DFT calculations with B3LYP/6-31G (d, p) level have been used to analyze the electronic and geometric characteristics deduced for the stable structure of the compounds. Moreover, using the Frontier Molecular orbital (FMO) energies, MEP surface visualizations and the density-based descriptors such as chemical potential (µ), electronegativity (χ), hardness (η) and softness (σ), the chemical stability were determined. Furthermore, in silico, studies showed that Lipinski rules are applied, which means that these (AIS) are expected to have a high probability of good oral bioavailability. On the other side, the bioinformatic Osiris/Molinspiration analyses of the relative cytotoxicity of these derivatives are reported in comparison to Cortisol. In fact, it has been showed that almost of these compounds are non-toxics except for Mometasone that presents a great risk of tumorigenicity during reproduction with a slightly mutagenic structure due to the two chloride atoms. from all results obtained, we can conclude that fluticasone has the best physico-chemical properties which explains its high efficiency.

Keywords: Anti-inflammatory steroids, DFT, Lipinski rules, Tumorigenicity.
Morphology, Phytochemistry and Pharmacological Activity of Vitex negundo: An Overview
Authors: Singh Yogendra , Mishra Pankaj , Kannojia Pushpendra
Published: June 2020

Now days a herbal and traditional medicines mostly used in all over the world according to WHO, about 60 to 65% world population practicing herbal and traditional medicines. Vitex negundo Linn. is an aromatic herb belong to family Verbenaceae. It is also known as Nirgundi, Five leaved chaste tree. Plants have many chemical constituents as flavonoids, volatile oil, triterpenes, diterpenes, sesquiterpenes, lignan, flavones, glycosides, iridoid glycosides and stilbene derivative. These chemical constituents are present in each part of the plant. Vitex negundo extract have various pharmacological activities such as anti-inflammatory, antipyretic, anti-arthritic, antioxidant, analgesic activity, antibacterial activity, antitumor activity, anti-amnesic activity, anxiolytic activity, Nephroprotective activity, anti-HIV activity, Antitubercular activity, antieosinophilic activity, anti-snake venom activity. This review article provides depth information related to plant morphology, cultivation, chemical constitutes, pharmacological activities and their medicinal uses.

Keywords: Vitex negundo, Nirgundi, Casticin, Anti-Gout Activity
Quantum Codes of Maximal Distance and Highly Entangled Subspaces
Authors: Huber Felix , Grassl Markus
Published: June 2020

We present new bounds on the existence of general quantum maximum distance separable codes (QMDS): the length n of all QMDS codes with local dimension D and distance d≥3 is bounded by n≤D2+d−2. We obtain their weight distribution and present additional bounds that arise from Rains' shadow inequalities. Our main result can be seen as a generalization of bounds that are known for the two special cases of stabilizer QMDS codes and absolutely maximally entangled states, and confirms the quantum MDS conjecture in the special case of distance-three codes. As the existence of QMDS codes is linked to that of highly entangled subspaces (in which every vector has uniform r-body marginals) of maximal dimension, our methods directly carry over to address questions in multipartite entanglement.
Organizing Chaos: Iterative Professional Identity Formation Through the Lens of Mask Making
Authors: Stephens Mark B. , Bowen Joy L. , McGinley Erin L. , Rainey Peter
Published: June 2020

Introduction: Professional identity formation (PIF) is a sociocultural process through which medical students adopt the professional role of physician. This process is often unscripted and influenced by informal curricular elements. PIF is as important as the acquisition of knowledge and clinical skill in the continuum of medical education.
Methods: Using the ancient art of mask making, we created a process of reflective expression to explicitly examine and formally promote PIF. Students created individual masks to express elements of self in the context of their medical education experiences. Coupled with a narrative reflection describing the mask and the process of mask making, students were challenged to examine and give shape to their evolving sense of professional identity. Using a retrospective pre/post design, we used the mask-making process to examine identity across 4 years of medical school in a cohort of graduating students.
Results: The masks and accompanying narratives showed themes of moving from anxiety and uncertainty at matriculation to a more calm and focused state at the time of graduation. Other themes included the ability to organize complex material and the accumulation of a broad fund of knowledge. Students found the mask-making experience to be introspective and enjoyable.
Discussion: Mask making is both a product (mask) and process (creation). As such, mask making is an innovative strategy to examine PIF within individuals and across time. Organization, focus, and self-understanding were common themes of professional growth.
From molecules to nanoparticles to functional materials
Authors: Ignjatovic Nenad , Markovic Smilja , Jugovic Dragana , Uskokovic Vuk , Uskokovic Dragan
Published: June 2020

Functional nanomaterials have held a steady position at the frontier of materials science and engineering in the 21st century. ?Molecular Designing of Nanoparticles with Controlled Morphological and Physicochemical Characteristics and Functional Materials Based on Them? was the title of the research project funded by the Ministry of Education, Science and Technological Development of the Republic of Serbia and performed between 2011 and 2019 in the interdisciplinary area of nanoscience and nanotechnologies. Research activities within this program were divided into five interrelated topics: 1) from molecules to nanoparticles; 2) advanced ceramics with improved functional properties; 3) electrode materials for lithium?ion batteries; 4) nano-calcium phosphate in preventive and regenerative medicine; 5) biodegradable microand nano-particles for the controlled delivery of medicaments. This report gives an insight into this bibliographically most impactful Serbian national project on nanotechnologies executed within the aforementioned nine-year cycle, 2011?2019, focusing here only on the results achieved in the past three years. The project provided an outstanding and internationally recognized contribution to synthesis, characterization and functional design of a number of materials systems, including pure and lanthanide?doped hydroxyapatite, zinc oxides, sodium cobaltates, lithium iron pyrophosphates, lithium iron silicates and a number of polymeric systems.
Monipuolinen esitys (lähes) tuntemattomasta maanlainsuomennoksesta
Authors: De Smit Merlijn
Published: June 2020

Arvioitu teos:

Harri Uusitalo: Tausta, tekijä ja kieli. Filologinen tutkimus Aitolahden koodeksin lainsuomennoksesta. Turun yliopiston julkaisuja C471. Turku 2019. 159 s. ja liitteet 186 s. isbn 978-951-29-7668-3. Saatavilla verkossa osoitteessa http://urn.fi/URN:ISBN:978-951-29-7669-0
Wilkinson Polynomials: Accuracy Analysis Based on Numerical Methods of the Taylor Series Derivative
Authors: Mandailina Vera , Syaharuddin Syaharuddin , Pramita Dewi , Ibrahim Malik , Negara Habib Ratu Perwira
Published: June 2020

Some of the numeric methods for solutions of non-linear equations are taken from a derivative of the Taylor series, one of which is the Newton-Raphson method. However, this is not the only method for solving cases of non-linear equations. The purpose of the study is to compare the accuracy of several derivative methods of the Taylor series of both single order and two-order derivatives, namely Newton-Raphson method, Halley method, Olver method, Euler method, Chebyshev method, and Newton Midpoint Halley method. This research includes qualitative comparison types, where the simulation results of each method are described based on the comparison results. These six methods are simulated with the Wilkinson equation which is a 20-degree polynomial. The accuracy parameters used are the number of iterations, the roots of the equation, the function value f (x), and the error. Results showed that the Newton Midpoint Halley method was the most accurate method. This result is derived from the test starting point value of 0.5 to the equation root x = 1, completed in 3 iterations with a maximum error of 0.0001. The computational design and simulation of this iterative method which is a derivative of the two-order Taylor series is rarely found in college studies as it still rests on the Newton-Raphson method, so the results of this study can be recommended in future learning.
Perancangan Notifikasi Pesan Disposisi Pada Sistem Pengelolaan Surat Dinas Menggunakan Layanan API Media Social
Authors: Lainsamputty Billy Gerardhy , Suprihadi Suprihadi
Published: June 2020

Based on the Department of Agriculture which still does not have the tools or media to manage the letter of service, both the incoming and outgoing mail which impact on the weak supervision follow-up of the service letter due to ignorance that the letter should be processed. This study was made as a visual and text notification of incoming and outgoing mail data with more detailed archive storage. This website application is supported by using social media telegram API service that is used as notification in the form of notification to the employee so that the Service Letter can be followed up immediately.
Analisis Unjuk kerja Jaringan Microcell LTE Berdasarkan Variasi Level Modulasi
Authors: Arumsidi Shafira Fajrin , Isnawati Anggun Fitrian , Wahyudin Ade
Published: June 2020

The development of telecommunications technology continues to increase, especially in the use of cellular communication networks. Users of cellular networks today need high-speed communication to be able to enjoy the facilities offered such as streaming video, web browsing, e-mail and others. With the current increase in user capacity, it causes a lot of interference. Therefore, the use of modulation techniques needs to be considered. To find out the proper use of modulation, in accordance with the conditions of the region and the network used, this study examines the performance of variations in modulation levels, namely QPSK, 16QAM, 64QAM and 256QAM. The parameters measured in this study include RSRP, CINR, BER, user connected and throughput. Based on the coverage by RSRP simulation results, it was found that the RSRP did not change because the power signal will always adjust to any use of the modulation level. For coverage by CINR obtained to obtain a higher rate value, a higher CINR value is needed and for coverage by BER parameters, BER does not affect the bit per symbol carried by each modulation, only affects the different types of modulation. Meanwhile, in the capacity by Throughput parameter, QPSK modulation produces the lowest average throughput value of 14.01 Mbps followed by 16QAM 21.58 Mbps 64QAM 28.6 Mbps and 256QAM 33.87 Mbps. In addition, for the capacity by user connected parameters all connected users on all modulation used will produce 100% for capacity by user connected.
MONTE CARLO N PARTICLE EXTENDED (MCNPX) RADIATION SHIELD MODELLING ON BORON NEUTRON CAPTURE THERAPY FACILITY USING D-D NEUTRON GENERATOR 2.4 MeV
Authors: Sardjono Yohannes
Published: June 2020

Based Studies were carried out to analyze the internal dose of radiation for workers at Boron Neutron Capture Therapy (BNCT) facility base on Cyclotron 30 MeV with BSA and a room that was actually designed before. This internal dose analyzation included interaction between neutrons and air. The air contained N2 (72%), O2 (20%), Ar (0.93%), CO2, Neon, Kripton, Xenon, Helium and Methane. That internal dose to the worker should be below the dose limit for radiation workers which is an amount of 20 mSv/years. From the particles that are present in the air, only Nitrogen and Argon can change into radioactive element. Nitrogen-14 activated to Carbon-14, Nitrogen-15 activated to Nitrogen-16, and Argon-40 activated to Argon-41. Calculation using tally facility in Monte Carlo N Particle version Extended (MCNPX) program for calculated Neutron flux in the air 3.16x107 Neutron/cm2s. The room design in the cancer facility has a measurement of 200 cm in length, 200 cm in width, and 166.40 cm in height. Neutron flux can be used to calculate the reaction rate which is 80.1x10-2 reaction/cm3s for carbon-14 and 8.75x10-5 reaction/cm3s. The internal dose exposed to the radiation worker is 9.08E-9 µSv.
Implementasi Rally Coach Untuk Mengembangkan Keterampilan Berpikir Kritis Pada Pelajaran Matematika
Authors: Harianja Joko Krismanto
Published: June 2020

Critical thinking skills need to be developed in learning activities because these skills are needed by students especially in solving problems both in everyday life and for the future. Based on research that has been done, students' critical thinking skills can be developed by implementing the rally coach learning model in mathematics learning activities. Rally coach is a cooperative learning model. From the research results obtained using descriptive research methods with a qualitative approach, students' critical thinking skills have increased significantly which indicates that the implementation of the rally coach learning model was declared successful. This study has been done using CAR (Class Action Research) method with 4 cycles. As part of the research, to find out an increase in accordance with expected, researchers designed a test instrument that has been tested for validity and reliability using the content validity ratio (CVR) method and the Cronbach Alpha formula. The results that have been obtained show in detail that the rally coach learning model provides an excellent contribution to improving students' critical thinking skills.
PEP – USING SMARTPHONE AND RUBRICS TO EVALUATE LARGE GROUPS IN PROJECT-BASED COURSE
Authors: Collin Jérôme , Thériault Lévis
Published: June 2020

This paper presents a new computer tool used to evaluate a large number of student teams using rubrics. The system makes use of smartphones and tablets to enter marks on a web site where all results are stored and processed.  Various data can be exported at the end.  The new system uses scrollers to quickly fill out the rubric on a smartphone.  This system has reduced the amount of paper, the number of errors and the time to manually process all the marks of a first-year project-based course at Polytechnique Montréal.  An administrator with a laptop can create, manage and follow the evaluation event itself more easily compared to the paper version.
GENDERED PATTERNS IN SENIOR ENGINEERS’ LEADERSHIP LEARNING
Authors: Macdonald-Roach Emily , Rottmann Cindy , Chan Andrea , Moore Emily
Published: June 2020

In this paper, we present findings from a secondary gender analysis of interviews conducted for a larger study examining how senior engineers learn to lead over the course of their careers [7, 36-37]. In particular, we analyze a subset of career history interviews conducted for the larger study—four male and four female participants paired by career stage and organizational context—through a gendered lens. In the end, we identified 4 themes that differentiated the experiences of male and female engineers in our sample: 1) Explicit mentions of gender, 2) Mobility, 3) Enacting leadership, and 4) Response to failure. With an understanding that gender can impact experiences implicitly and in ways that are highly contextualized, we explore subtle gender dynamics in engineers’ situated leadership learning opportunities and experiences.