bluuebunny/crossref_metadata_2025 huggingface dataset:
Histopathological Study of Endometrium in Patients of Perimenopausal Age Group in a tertiary care Hospital in West Bengal
Authors: Chakraborty Nabanita , Chunder Rajasri , Mukherjee Barnali , Chakraborty Soham
Published: September 2021

Background: Menopause is an important event in women’s life and it marks the end of a woman`s reproductive life. Perimenopause is the interval in which a woman`s body makes a natural shift from regular cycles of ovulation & menstruation to irregular cycles and various forms of abnormal uterine bleeding. Dysfunctional uterine bleeding (DUB) is a very frequent complaint from women in the perimenopausal age group. The histological diagnosis of DUB and its proper management is very essential in this age group.
Aims and Objective: Primary aim of our study was to identify the spectrum of histological changes that occur in the endometrium in perimenopausal age group and to identify the demographic pattern of each histological change.
Materials and Methods: Fifty-two specimens of endometrial biopsy obtained from the patients in the perimenopausal age group of 40-50 years attending the Gynaecology and Obstetrics department were studied.
Results: 71.15% cases of DUB was diagnosed amongst the 52 endometrial biopsy specimens in perimenopausal age group and Secretory endometrium is most common histological pattern.
Conclusion: This study reflects a spectrum of endometrial histology present during perimenopausal age. This study has  also highlighted the correlation of endometrial histology with final diagnoses of the patients, and this may help in diagnosis and treatment of gynaecological diseases of this specific age group in future.
Identification of Locations for Potential Glacial Lakes Formation using Remote Sensing Technology
Authors: Yagol P , Manandhar A , Ghimire P , Kayastha RB , Joshi JR
Published: September 2021

In past Nepal has encountered a number of glacial lake outburst flood (GLOF) events causing loss of billions of rupees. Still there are a number of glacial lakes forming and there are chances of new glacial lake formation. Hence there is intense need to monitor glaciers and glacial lakes. The development on remote sensing technology has eased the researches on glacier and glacial lakes. Identification of locations of potential glacial lakes through the use of remote sensing technology has been proven and hence is opted for identification of locations of potential glacial lake in Khumbu Valley of Sagarmatha Zone, Nepal. The probable sites for glacial lake formation are at Ngojumpa, Lobuche, Khumbu, Bhotekoshi, Inkhu, Kyasar, Lumsumna, etc. As per study, the biggest glacial lake could form at Ngozumpa glacier. Even in other glaciers potential supra-glacial lakes could merge together to form lakes that occupy significant area. Nepalese Journal on Geoinformatics -12, 2070 (2013AD): 10-16
Improvement of Cadastral System: Scope in Nepal
Authors: Dangol Susheel , Kwak Buong Yong
Published: September 2021

The cadastral system in Nepal is developing continuously with gradual speed. Cadastralsurvey started with chain survey and in due course of time, plane table survey was adopted for the survey in spite of its limitations in accuracy and time. Currently, total station has been practiced in few municipalities for this purpose. The paper focuses on the probability of modern data handling technology; Total station, Global Positioning System (GPS), Participatory GIS and Remote Sensing as the appropriate technology for the improvement of existing cadastral system of the country. Current situation of the cadastral system and the technology used, its shortcomings and the suitability of the proposed data handling technology are discussed in the paper. Nepalese Journal on Geoinformatics -12, 2070 (2013AD): 19-24
Urban Sprawl Modeling using RS and GIS Technique in Kirtipur Municipality
Authors: Karna Bikash Kumar , Mandal Umesh Kumar , Bhardwaj Ashutosh
Published: September 2021

Urban sprawl refers to the urbanization extent, which is mainly caused by population growth and large scale migration and it is a global phenomenon. In developing countries like Nepal, where the population growth and internal migration rate in urban area is high, it has posed serious implication on the resources of the region. Effective and efficient infrastructure planning of an urban environment require information related to the rate of urban growth along with its trend, pattern and extent of urban sprawl. The pattern and extent of urban sprawl is identified and modeled using remotely sensed data along with collateral data. RS and GIS are used to analyze and interpret the urban land use changes. Cellular Automate Markov (CA-Markov) process is used to urban sprawl modeling to identify possible pattern of sprawl and subsequently predict the nature of future sprawl Nepalese Journal on Geoinformatics -12, 2070 (2013AD): 50-56
Sub-specialty in neurosurgery: Time has come for Nepal
Authors: Thapa Amit
Published: September 2021

With over 90 practicing neurosurgeons in the country, should we be developing sub-specialty in neurosurgery?

The number of trained manpower has risen steadily, since neurosurgery was first practiced in Nepal in 1961.1Though we are halfway to the milestone of achieving a ratio of 1 neurosurgeon for every 1 lac population, the situation here is much better than in other Sub-Saharan African and south east Asian countries.2 All the seven states have now neurosurgeons working in its hospitals, though most are still concentrated in the capitals and major towns.

Recently for the last five years, despite of lack of training opportunities for sub-specialty in the country, we have seen young neurosurgeons getting trained in skull base, spine, minimally invasive or endoscopic neurosurgery, functional neurosurgery, pediatric neurosurgery and vascular neurosurgery from abroad. There is a variation in nature and period of training, ranging from observership of a few weeks to fellowship of over a year. The interest seems to be getting stronger as the facilities and complexities of cases are increasing. In such scenarios, rather than few individuals we need units or teams offering these sub-specialized services from key centers and start supervised systematic training for the interested.
Humanizing Science through STEAM Challenges
Authors: Bahng E.J. , Hauptman John
Published: September 2021

In a science methods course during the Covid19 pandemic, 51 future elementary teachers authored children's books and then read them aloud as part of a giving-back, service-learning activity as Open Educational Resources (OER). The 51 children's stories and their accompanying audiobooks aim to integrate STEM and the Arts to humanize science and scientific inquiry with history and philosophy of science in mind.
Model Dinamis Analisis Keputusan Penanganan Penyebaran Covid-19 Menggunakan Causal Loop Diagram
Authors: Safii Muhammad , Husain Husain , Wahyudi Mochamad , Zarlis Muhammad
Published: September 2021

The spread of Corona Virus or Covid 19 is very fast and has become a pandemic for all countries in this world. In a very dynamic and complex development process consisting of many interrelated and diverse components, each of which has different goals. Regarding the dynamic and complex challenges in the field of developing corona virus spread, the ability to identify is needed to reduce the circulation of the virus. For this reason, it is necessary to look further into the factors that influence and inhibit the spread of the virus and what strategies are needed and analyze the dynamically dynamic causes of these factors using the method of approach that uses the Cause Circle Diagram (CLD) system. ). The purpose of this research is to get the right solution in making decisions to handle the spread of corona virus through a system approach with a Causal Loop Diagram (CLD) model.
The Life of the Last Rin Spungs pa Ruler and his Guide to Śambhala.A study based on the 16th century manuscript,Vidyadhara –The Messenger (Rig pa’dzin pa’i pho nya) by Ngag dbang ’jig grags of Rin spungs (translation and comparative text analysis)
Authors: Chashab Thupten Kunga
Published: September 2021

The presented work is based on the manuscript Rig pa ’dzin pa’i pho nya by Ngag dbang ’jig grags, the 16th century last ruler of Rin spungs in Central Tibet. The manuscript is very rare and interesting for Tibetan literature, not broadly known and studied by Tibetologists both outside and inside Tibet. Two main themes of the manuscript are discussed in detail in the book: the itinerary of Śambhala and the life of the author, Ngag dbang ’jig grags. The volume includes chronological presentation of the manuscript with a commentary: the life of the author, Ngag dbang ’jig grags (second part of the text) and the guide to Śambhala (first part of the text), as well as its complete English translation. In the appendices discussion on the literary aspects of the manuscript is presented, accompanied by different glossaries and the index.
David Kornhaber. Theatre & Knowledge
Authors: Cleaves Phil
Published: September 2021

In this short introduction, Kornhaber presents a clear, accessible, internationally minded overview of theatre’s historical encounters with knowledge. He invites us to expand our understanding of theatre and knowledge from being separate, quarrelsome opposites to recognizing that they are in dialogue.
Sharell D. Luckett, David Román, and Isaiah Matthew Wooden, eds. Tarell Alvin McCraney: Theater, Performance, and Collaboration
Authors: Chantal Welch Kimberly
Published: September 2021

This anthology offers a range of scholarly perspectives on Tarell Alvin McCraney’s use of religious syncretism, emphasis on community, and approach to collaboration. In doing so, it illustrates how McCraney’s work challenges monolithic depictions of Black communities and provides a way to imagine alternative futures for Black subjects.
EVOLUTION OF SCIENTIFIC AND METHODOLOGICAL APPROACHES TO UNDERSTANDING THE ECONOMIC ESSENCE OF THE CONCEPT OF "COMPETITIVENESS"
Authors: GRYSHCHENKO I.V. , GRYSHCHENKO V.F.
Published: September 2021

Topicality. The relevance of the research is because one of the main tasks to ensure sustainable economic development of Ukraine in modern economic conditions is to increase the level of competitiveness of both individual businesses and sectors of the economy (indicator 8.2, SDG 8). In addition, the number of existing approaches to the interpretation of the concept of "competitiveness" necessitates a careful selection of basic parameters for its calculation in practice, taking into account modern economic realities.Aim and tasks. The essence of the study is to systematize the main scientific and methodological approaches to the interpretation of the category of "competitiveness". Under this, the following tasks were identified: 1) to analyze the content of the category "competitiveness"; 2) to systematize the main stages of development of scientific and methodological approaches to understanding the concept of "competitiveness".Research results. Our analysis of literature sources has revealed a wide range of approaches to defining and clarifying the essence of the concept of "competitiveness". Having studied the literature on this issue, we were able to choose definitions that cover a wide range of definitions of "competitiveness" and reveal its essence through the prism of the main directions of economic thought. Currently, there is no single approach to its definition. Different researchers use the concept of "competitiveness" in different contexts and analyze it at different levels, such as international, national, regional, sectoral, local, entity level, individual product and/or service, with great differences in approaches to determining competitiveness factors in the temporal and spatial dimensions. This can lead to problems with understanding the essence of the concept of "competitiveness", measuring and calculating its specific values, and comparing them with each other.Conclusion. Most researchers theoretically describe competitiveness as a multidimensional relative concept and often associate it with market mechanisms. This concept is often considered by domestic and foreign scientists at the level of the national economy, industry, business entities, individual goods, and services very close to such concepts as ability, system, relative characteristics, opportunity, competitive advantage, result, and goal. In most cases, competitiveness can be defined as a complex indicator that covers a set of specific characteristics of the object under analysis, such as market share, productivity, and innovation capacity compared to an existing or imaginary benchmark.
MODIFIED CARBON-CONTAINING ALUMINUM CHLORIDE CATALYSTS
Authors: Huseynova G. , Aliyeva N.
Published: September 2021

Catalytic systems based on metallic aluminum Al and carbon tetrachloride CCl4, modified by Mg, CuCl2, NiCl2, MgCl2, have been developed. EPR and IR spectroskopiya studies of synthesized samples of catalysts were carried out. Based on the EPR spectrum, the presence of a Cu-C -bond was revealed in the Al + CCl4 catalyst with the modifying additive CuCl2.

Using IR spectra, it was determined that catalysts without modifiers and with modifiers are a mixture of two complexes based on Corbin-type structures. In this case, the catalysts differ in the ratio of the main structures with double C=C and triple C≡C bonds. Catalysts with modifying additives NiCl2 and Mg have significantly fewer of these structures than a catalyst without modifiers, and a catalyst with Mg is characterized by the smallest number of structures containing C=C bonds.

It is shown that the catalysts obtained on the basis of Al and CCl4 and its various modifications are complexes, the carbon-containing part of which is represented by polycumulene and polyine structures containing ethylene and acetylene bonds.
DEVELOPING EDUCATIONAL QR-QUESTS (USING "TRAVELLING" (ENGLISH) AND "DIE REISE" (GERMAN) AS EXAMPLES)
Authors: Hanchar N. , Khamenia A.
Published: September 2021

The article extends the ideas about the didactic possibilities of using QR codes and Web-2.0 services in teaching English and German in implementing individual approach, developing creative abilities and intensifying of pupils' independent work in the classroom. The article shows how to motivate participants to develop learning products using QR codes and "Web-2.0" services. The experience of the authors contributes to the self-educational activities of the participants in the learning process in order to enhance their ICT-competence.
QUALITY OF LIFE OF PATIENTS WITH ARTERIAL HYPERTENSION IN AMBULATORY CONDITIONS
Authors: Kireeva V. , Usoltsev Yu. , Lepekhova S. , Trofimova E. , Markova E.
Published: September 2021

The work is devoted to the study of the quality of life in patients with arterial hypertension from the standpoint of a personalized approach. Taking into account the results of the study at the outpatient stage of patient management, it was recommended to fill out the EQ-5D questionnaires in the 3L modification and the HADS hospital scale of anxiety and depression, according to the evaluation of the results of which, measures to correct the physical and mental components of the quality of life are added to the rehabilitation programs. The outpatient management of patients, taking into account the reduced quality of life revealed by questionnaires, will not only increase the psychological and physical components of the quality of life, but also reduce the number of complications from arterial hypertension and concomitant pathology.
STATE POLICY OBJECTIVES IN THE FIELD OF COMBATING CRIME
Authors: Duyunov V.
Published: September 2021

The paper examines the concept and goals of the state policy of countering crime, which is considered as a special direction of state activity associated with the development and implementation of strategies and tactics (general line) of organized resistance to crime and other offenses. Conditioned by the objective need to protect society from criminal encroachments, this policy is formed and implemented as a response of the state and society to the very fact of the existence of crime, its dangerous prevalence and continuous growth, and is designed to serve as a solution to the social conflict associated with the existence of crime. All this determines the goals of counteraction crime policy, its ideology, the main parameters, structure, main directions (types) and implementation practice. As a relatively independent and complexly organized type of social policy, it is implemented through a hierarchically structured system of subordinate types of policies at different levels, each of which has its own goals, objectives and content, and together they all serve to implement the general goal of reducing crime as much as possible, deterring it and keeping it at a socially acceptable level. The diversity and multi-level nature of the goals in the field of crime prevention, which make the process of their implementation long, complex and ambiguous, require a certain systematization of them. In this regard, the author formulated a number of important (in fact, key) requirements for the formation and implementation of goals, as well as the construction of their system in the field of combating crime, which could become important factors for achieving the planned results. At the same time, the author critically assesses the identification of the policy in the field of combating crime as a combination of all the efforts of the state and society aimed at countering crime with criminal policy as the activity of the state related to the criminalization and penalization of acts, the development and implementation of strategies and tactics, forms and methods of influencing crime with the help of criminal legal instruments.
VIOLATIONS OF THE EXPERT COUNCIL IN CONSIDERATION CASES OF THE AUTHOR OF THE RESEARCH OF AIRPORTS MVL
Authors: Leontyev R.
Published: September 2021

The article discusses violations of the official rules established by the documents governing state scientific certification in the Russian Federation, which are characteristic of the procedure for consideration by the expert council under the Ministry of Attestation of the author of the study of the management of local airlines in the Far Eastern region.
Transcriptome-wide analysis of intracranial artery in patients with moyamoya disease showing upregulation of immune response, and downregulation of oxidative phosphorylation and DNA repair
Authors: Kanamori Fumiaki , Yokoyama Kinya , Ota Akinobu , Yoshikawa Kazuhiro , Karnan Sivasundaram , Maruwaka Mikio , Shimizu Kenzo , Ota Shinji , Uda Kenji , Araki Yoshio , Okamoto Sho , Maesawa Satoshi , Wakabayashi Toshihiko , Natsume Atsushi
Published: September 2021

OBJECTIVE

Moyamoya disease (MMD) is a rare cerebrovascular disease characterized by progressive occlusion of the internal carotid artery and the secondary formation of collateral vessels. Patients with MMD have ischemic attacks or intracranial bleeding, but the disease pathophysiology remains unknown. In this study, the authors aimed to identify a gene expression profile specific to the intracranial artery in MMD.

METHODS

This was a single-center, prospectively sampled, retrospective cohort study. Microsamples of the middle cerebral artery (MCA) were collected from patients with MMD (n = 11) and from control patients (n = 9). Using microarray techniques, transcriptome-wide analysis was performed.

RESULTS

Comparison of MCA gene expression between patients with MMD and control patients detected 62 and 26 genes whose expression was significantly (p < 0.001 and fold change > 2) up- or downregulated, respectively, in the MCA of MMD. Gene set enrichment analysis of genes expressed in the MCA of patients with MMD revealed positive correlations with genes involved in antigen processing and presentation, the dendritic cell pathway, cytokine pathway, and interleukin-12 pathway, and negative correlations with genes involved in oxidative phosphorylation and DNA repair. Microarray analysis was validated by quantitative polymerase chain reaction.

CONCLUSIONS

Transcriptome-wide analysis showed upregulation of genes for immune responses and downregulation of genes for DNA repair and oxidative phosphorylation within the intracranial artery of patients with MMD. These findings may represent clues to the pathophysiology of MMD.
The mechanobiological theory: a unifying hypothesis on the pathogenesis of moyamoya disease based on a systematic review
Authors: Sudhir Bhanu Jayanand , Keelara Arun Gowda , Venkat Easwer Harihara , Kazumata Ken , Sundararaman Ananthalakshmy
Published: September 2021

OBJECTIVE

Moyamoya angiopathy (MMA) affects the distal internal carotid artery and is designated as moyamoya disease (MMD) when predisposing conditions are absent, or moyamoya syndrome (MMS) when it occurs secondary to other causes. The authors aimed to investigate the reason for this anatomical site predilection of MMA. There is compelling evidence to suggest that MMA is a phenomenon that occurs due to stereotyped mechanobiological processes. Literature regarding MMD and MMS was systematically reviewed to decipher a common pattern relating to the development of MMA.

METHODS

A systematic review was conducted to understand the pathogenesis of MMA in accordance with PRISMA guidelines. PubMed MEDLINE and Scopus were searched using “moyamoya” and “pathogenesis” as common keywords and specific keywords related to six identified key factors. Additionally, a literature search was performed for MMS using “moyamoya” and “pathogenesis” combined with reported associations. A progressive search of the literature was also performed using the keywords “matrix metalloprotease,” “tissue inhibitor of matrix metalloprotease,” “endothelial cell,” “smooth muscle cell,” “cytokines,” “endothelin,” and “transforming growth factor” to infer the missing links in molecular pathogenesis of MMA. Studies conforming to the inclusion criteria were reviewed.

RESULTS

The literature search yielded 44 published articles on MMD by using keywords classified under the six key factors, namely arterial tortuosity, vascular angles, wall shear stress, molecular factors, blood rheology/viscosity, and blood vessel wall strength, and 477 published articles on MMS associations. Information obtained from 51 articles that matched the inclusion criteria and additional information derived from the progressive search mentioned above were used to connect the key factors to derive a network pattern of pathogenesis.

CONCLUSIONS

Based on the available literature, the authors have proposed a unifying theory for the pathogenesis of MMA. The moyamoya phenomenon appears to be the culmination of an interplay of vascular anatomy, hemodynamics, rheology, blood vessel wall strength, and a plethora of intricately linked mechanobiological molecular mediators that ultimately results in the mechanical process of occlusion of the blood vessel, stimulating angiogenesis and collateral blood supply in an attempt to perfuse the compromised brain.
Morphology and word order in Slavic languages: Insights from annotated corpora
Authors: Yan Jianwei
Published: September 2021

Slavic languages are generally assumed to possess rich morphological features with free syntactic word order. Exploring this complexity trade-off can help us better understand the relationship between morphology and syntax within natural languages. However, few quantitative investigations have been carried out into this relationship within Slavic languages. Based on 34 annotated corpora from Universal Dependencies, this paper paid special attention to the correlations between morphology and syntax within Slavic languages by applying two metrics of morphological richness and two of word order freedom, respectively. Our findings are as follows. First, the quantitative metrics adopted can well capture the distributions of morphological richness and word order freedom of languages. Second, the metrics can corroborate the correlation between morphological richness and word order freedom. Within Slavic languages, this correlation is moderate and statistically significant. Precisely, the richer the morphology, the less strict the word order. Third, Slavic languages can be clustered into three subgroups based on classification models. Most importantly, ancient Slavic languages are characterized by richer morphology and more flexible word order than modern ones. Fourth, as two possible disturbing factors, corpus size does not greatly affect the results of the metrics, whereas corpus genre does play an important part in the measurements of word order freedom. Specifically, the word order of formal written genres tends to be more rigid than that of informal written and spoken ones. Overall, based on annotated corpora, the results verify the negative correlation between morphological richness and word order rigidity within Slavic languages, which might shed light on the dynamic relations between morphology and syntax of natural languages and provide quantitative instantiations of how languages encode lexical and syntactic information for the purpose of efficient communication.
Synthesis, Spectroscopic Characterization and Antibactrial Activities of Co(II) Complex of Ofloxacin Drug Mixed with Ascorbic Acid as secondary ligand
Authors: Onyenze Ugochukwu , Otuokere I.E.
Published: September 2021

Ofloxacin is a quinolone antibiotic that is considered an efficient antibacterial drug with a broad spectrum of activity against anaerobic and aerobic bacteria and has strong antibacterial activity in vitro against many bacteria species by inhibiting their DNA-gyrase. In this study, the synthesis, physicochemical and spectroscopic characterization of Cobalt (II) metal complex with ofloxacin as primary ligand and ascorbic acid as the secondary ligand have been carried out. The complex was prepared by reflux method for four hours in methanol. The complex, with the molecular formula [Co(Ofl)(Asc)], was characterized by its color, solubility, melting point, FTIR, UV/Visible, 1H NMR, and 13C NMR spectroscopy. The color and the melting point suggest that complexation occurred. The Fourier Transform Infrared data for both the primary ligand (Ofl) and the secondary ligand (Asc) acted as tridentate ligands. Ofl coordinated to the Co(II) metal ion via the two carbonyl oxygen atoms and the oxygen atom of the hydroxyl group, whereas Asc coordinated to the metal through the carbonyl and enolic C-2 and C-3 hydroxyl groups. The electronic data suggests octahedral geometry for the complex. The ligands and the novel Co (II) complex were tested for in vitro antibacterial activity against gram-negative and gram-positive bacterial species using the filter paper disc agar diffusion method. Significant antibacterial activities were observed for the complex compared to the ligands. This research will aid in the development of more potent drugs that are resistant to organisms.
Editor's Note
Authors: Cuillier David
Published: September 2021

More and more evidence, including new research published in this issue of the Journal of Civic Information, supports the notion that nonprofit broadbased freedom of information organizations are associated with stronger governmental transparency within their states.
Enthesitis Related Arthritis: A Single Center Experience
Authors: Demir Selcan , Kasap Cüceoğlu Müşerref , Bilginer Yelda
Published: September 2021

Objective: Enthesitis-related arthritis is a subtype of juvenile idiopathic arthritis category, characterized by enthesitis, arthritis, and the risk of axial involvement. We aimed to summarize the demographics, clinical, and laboratory findings of enthesitis-related arthritis patients and to identify the distinguishing features of enthesitis-related arthritis patients with HLA B27 positive compared to the patients who were HLA B27 negative.

Materials and Methods: This retrospective study included patients with Enthesitis-related arthritis who followed up between 2015 and 2018. Demographical, clinical, and laboratory data were retrospectively reviewed from the patient files and computerized medical charts.

Results: A total of 72 patients diagnosed with enthesitis-related arthritis were included in the study. The male/female ratio was 2.1/1. Fifty-three (73%) of them presented with peripheral arthritis. The most commonly affected joint was knee (81.1%), followed by the ankle (43%), hips (32%), and wrist (5%). HLA B27 was positive in 36 (50%) patients. During follow-up, the number of patients who developed enthesitis-related arthritis -associated uveitis was 8 (11.1%). During follow-up, 56 patients with inflammatory back pain and/or sacroiliac tenderness underwent spinal MRI. Ten (17.8%) patients had only thoracal and/or lumbar involvement, 18 (32%) had only sacroiliitis, and 9 (16%) patients had both of them on spinal MRI. In comparison with HLA-B27-negative children, HLA-B27-positive patients were more likely to have enthesitis (16 (44.4%) vs 8 (22.2%), p=0.046), MRI proven sacroiliitis (19 (52.7%) vs 8 (22.2%), p=0.031), MRI proven spinal involvement (13 (36.1%) vs 6 (16.6%), p=0.031), and uveitis (8 (100%) vs 0(0%), p=0.014). During follow up, 65/72 (90.2 %) of them needed disease-modifying antirheumatic drugs (DMARD), and 51/72 (70.8%) needed anti-tumor necrosis factor-α (TNF-α) therapy.

Conclusion: We found that patients who were HLA-B27- positive had significantly more enthesitis, MRI-proven sacroiliitis, MRI-proven spinal involvement, and acute anterior uveitis, in comparison to patients who were HLA B27 negative. It is crucial to carefully assess those patients with concern for enthesitis-related arthritis to determine the expected prognosis and make therapeutic decisions appropriately.
A Review on: Digitalis Purpurea
Authors: Metkari Roshani , Markad Ashwini , Bhong Poonam , Yadav Mohini , Kolhe Omkar
Published: September 2021

Digitalis contain cardiac glycosides and used in the treatment of congestive heart failure. Digitalis drug obtain from Digitalis Purpurea L. belongs to family scrophulariaceae. 200 years ago William Withering discover the use of digitalis in CHF treatment in 1785.In 18th century a controversy has existed about the benefits and risks of digitalis in patients with heart problems. Active component of digitalis classified as cardiac glycosides and cardiotonic steroids. The term "digitalis" or "cardiac glycosides" are used to refer to any of steroids or steroid glycosides compound which exert characteristic positively inotropic and electrophysiological effect on heart. In 20th century digitalis and its derivatives specially, digoxin is used in treatment of CHF. Cardiac glycosides are used in therapy of CHF since William Withering identify their uses. Digitalis purpurea is not only use in treatment of CHF also has wound healing, antioxidant and cytotoxic activity. In 1990 most prescribed drug is digoxin. It shows intermediate duration of action. Digoxin is use for its rate control in atrial fibrillation in the presence of marginal blood pressure. The introduction of diuretic provide an alternative more effective and safer for treatment of CHF.

Keywords: CHF., Digitalis Purpurea L
Visual Sentiment Analysis on Social Media Data
Authors: Bhoir Harshala , Jayamalini K.
Published: September 2021

Visual sentiment analysis is the way to automatically recognize positive and negative emotions from images, videos, graphics, stickers etc. To estimate the polarity of the sentiment evoked by images in terms of positive or negative sentiment, most of the state-of-the-art works exploit the text associated to a social post provided by the user. However, such textual data is typically noisy due to the subjectivity of the user which usually includes text useful to maximize the diffusion of the social post. Proposed system will extract and employ an Objective Text description of images automatically extracted from the visual content rather than the classic Subjective Text provided by the user. The proposed System will extract three views visual view, subjective text view and objective text view of social media image and will give sentiment polarity positive, negative or neutral based on hypothesis table.
Blockchain Technology : A Tool to Secure Data
Authors: Thakur Namrata , Shinde Dr. Vinayak D
Published: September 2021

Data security is the key to the development of modern Internet technology. The distributed, decentralized, and secured hashed mechanism of the blockchain gives a complete new point of view for the evolution of data security technology. Block chain technology is one of the major technological innovations of this century. In the last couple of years, the interest around blockchain technologies is increasing. Many implementation of blockchain technology are widely available today. Blockchain,the foundation of Bitcoin, has gain much attention in this era. Blockchain is an encrypted, immutable, distributed ledger, which allows transactions take place in a decentralized manner. Blockchain based applications expected to alter numerous fields including financial services, health care, entertainment media, Internet of Things (IoT), and many more. The Blockchain technology plays important role in the process of data security. In this paper, we will discuss about the research being done on this new domain of Computer Science. It is not only the most popular topic to discuss about, but is the most technological innovation, that is all set to reform the entire world.
LPG Gas Leakage Detection Using IOT
Authors: Manhas Arun , Chambyal Neeraj , Raina Manish , Dutta Dr. Simmi , Singh Er. Prabhjot
Published: September 2021

Safety plays a major role in today’s world and it is necessary that good safety systems are to be implemented in places of education and work. This work modifies the existing safety model installed in industries and this system also be used in homes and business premises. One of the preventive measures to avoid the danger associated with gas leakage is to install a gas leakage detector at vulnerable locations.

A gas detector is a device that detects the presence of gases in an area, often as part of a safety system. Gas Detector where it can sound an alarm to operators in the area where the leak is occurring, giving them the opportunity to fix or leave. This type of device is important because there are many gases that can be harmful to organic life, such as humans or animals.

This paper provides a brand new approach to discover LPG discharge supported microcontroller based Node MCU. To alert on Liquefied rock oil Gas (LPG) leakage and preventing any unwanted incident, we need to apply some cautions to discover the discharge. This paper aims to provide a solution to this problem by building a device which will do the area monitoring continuously. The gas sensor provides data to Node MCU, and then the results are displayed as a warning to the user via an Android-based smart-phone device. Other than LPG gas, Air conditioner and refrigerator leaked gases are also harmful in home. Using this device users will be able to prevent accidents that occur due to harmful gas leaks so that accidents can be avoided.
Real Life Smart Waste Management System [DRY, WET, RECYCLE, ELECTRONIC & MEDICAL]
Authors: Radhika Dr. A.
Published: September 2021

The problem of real-life smart waste management system can be solved using automatic waste segregation. In particular, the focus of the article is on the problem of detection (i.e., waste classification). In these 5 classes of waste are taken and segregated them into 5 categories namely dry, wet, recycle, electronic and medical. This system will automatically detect the waste object and segregate it into the respective category. The use of machine learning allowed improving the model with more accuracy. Convolutional Neural Networks (CNN) algorithm which is best used for image classification is used for object detection. The models that was trained are ResNet50, VGG16, InceptionV3 and MobileNetV2. Finally, when compared to the results of all these models, MobileNetV2 has given us the best and highest accuracy of about 98% and 99% respectively.
Drug Safety Report Generator
Authors: Dubey Sudhir , Bhamre Pruthviraj , Patil Akshay , Kumar Rahul
Published: September 2021

This document provides an overview on identifying ICSR (Individual case safety reports) & Drug Safety Classification of Adverse Drug Events from free Text Electronic Patient Records and Information. As a remarkable rise is observed in the usage of digital health records the potential for extensive clinical data extraction has drawn much attention. We intend to separate the causes and effects of unfriendly drugs from the records. We have therefore promoted a machine learning-based framework for the planned signature test of hostile drugs or safe phrases in the event of a report. In addition, the framework also uses named substance recognition based on word references to identify drugs and diseases that are present at the same time. The framework evaluation of physical comments in the corpus and a context-related analysis of consumption, which was carried out on preselected drugs, showed convincing results.
Indian Sign Language Recognition
Authors: Maben Ashwitha Anjali , Shetty Prajna , Salian Mamatha
Published: September 2021

The paper focuses on designing and developing an user interface to help out the dumb community in making a better use of their gestures. It mainly deals with making services of the hand gestures to be easily accessible and understandable to by the people using sign languages. This system makes use of data collected from standards of Indian Sign Languages (ISL). The system is built using machine learning tools, TensorFlow library. The result of this project is to translate the gestures into the texts and return it to the web interface. The sole reason of this project is to help the individual with speech and hearing impairment.
Speech Emotion Recognition Using MLP Classifier
Authors: Poojary Nagaraja N , G S Dr. Shivakumar , B.H Akshath Kumar
Published: September 2021

Language is human's most important communication and speech is basic medium of communication. Emotion plays a crucial role in social interaction. Recognizing the emotion in a speech is important as well as challenging because here we are dealing with human machine interaction. Emotion varies from person to person were same person have different emotions all together has different way express it. When a person express his emotion each will be having different energy, pitch and tone variation are grouped together considering upon different subject. Therefore the speech emotion recognition is a future goal of computer vision. The aim of our project is to develop the smart emotion recognition speech based on the convolutional neural network. Which uses different modules for emotion recognition and the classifier are used to differentiate emotion such as happy sad angry surprise. The machine will convert the human speech signals into waveform and process its routine at last it will display the emotion. The data is speech sample and the characteristics are extracted from the speech sample using librosa package. We are using RAVDESS dataset which are used as an experimental dataset. This study shows that for our dataset all classifiers achieve an accuracy of 68%.
Cureskin - Skin Disease Prediction using MobileNet Model
Authors: Divya N. , Dsouza Deepthi P , Hariprasad
Published: September 2021

Skin diseases are getting more common than any other disease in the world. Due to lack of personal care and different environmental factors many of the people are suffering from skin diseases. It may have caused because of infection, allergy, bacteria or viruses, etc. Not every patient has the facility to go to the doctor for primary consultation based on the financial issues. To overcome this problem we developed an android application which helps the patients in diagnosing the disease easily at home. There are several methods or algorithms in machine learning to make this process easier. We proposed an approach to skin disease prediction using MobileNet model which is a part of Convolutional Neural Networks (CNN). In total there are six diseases namely acne, actinic, psoriasis, tinea ringworm, eczema and seborrhoea. Our model is pre-trained by feeding thousands of images also including images which are not diseased and also which do not comes under skin. Our approach is simple, fast and inexpensive and does not require huge equipment for the diagnosis. It is found that MobileNet model gives best accuracy.
Emergency Vehicle Priority Based System
Authors: Ahmad Sarfraz , Maurya K. C.
Published: September 2021

Every country's vehicular traffic is increasing, growing, and there is terrible traffic congestion at intersections. In the current case, most traffic lights have a fixed light sequence, so green light sequence is to determine with-out taking priority vehicles into account. As a result, priority crews such as police cars, ambulances, fire engines are still unable to perform, get stuck in traffic and come in late, which can result in the loss of valuable property and life, which does happen on occasion. The green light sequence is evaluated given the current state of traffic, without taking into account the existence of emergency vehicles. Our aim to this paper is to present a mechanism for scheduling emergency vehicles. It is provided to important such as access control protocol to convey emergency vehicle information to the Traffic Management Center (TMC) with time delay and to all alerts while using GPS techniques for acquiring emergency vehicle information. Only then is the emergency vehicle quickly dispatched, and the destination is reached on time. It would be helpful in the future for the prominence of casual vehicles.
Identification of Gender from Facial Features
Authors: Tighare Prof. Khemutai , Bhandekar Prof. Rahul , Kannake Rashmi
Published: September 2021

Increasing population and changing lifestyle become a more confusing task for detecting gender from facial images. To solve such a fragile problem several handy approaches are readily available in computer vision. Although, very few of these approaches achieve good accuracy. The features like lightning, illumination, noise, ethnicity, and various facial expression hamper the correctness of the images. Keeping these things in mind, we propose our research work on the identification of gender from facial features. The major component of face recognition is to develop a machine learning model which will classify the images this can be done by haar-cascade-classifier. To train the model with images more accurately we would perform few image processing concepts for the data to perform data analysis and preprocessing for structuring our data. This can be done by OpenCV. After that, we have used PCA ( Principle Comprehend Analysis ) to compute Eigenvalues and for the optimal components, we will get the class name from the knowledge base and confidence score from the SVM-based face recognition model. In our project work, we get good accuracy.
Rainfall Characteristics in Ahmednagar District of Maharashtra State
Authors: Salunke Dr. Vasudev S. , Zaware Pramila. P.
Published: September 2021

Rainfall is one of the vital form of precipitation which affects not only agricultural activity but also entire ecology in any region. Hence rainfall distribution and its trends in district is important to understand water availability and to take decisions for the agricultural activities in area. This research paper is an effort to assess the spatial and temporal rainfall variability of Ahmednagar district of Maharashtra State. Ahmednagar is popularly known as the largest district of Maharashtra with fourteen Talukas. The average annual rainfall of this district is 621 mm with an average of 46 rainy days. In this study the spatial and temporal rainfall distribution of this district is taken in to account. Short-term annual rainfall data are considered from 1998 to 2014. The daily rainfalls of monsoon months of all the fourteen Taluka are analyzed for the year 2015.It was found that spatial and temporal variability is high in the District.
A High-Speed Bidirectional Register with Parallel Loading using single electron Threshold Logic Technology
Authors: Biswas Anup Kumar
Published: September 2021

In this work we have concentrated our attention to a High Speed 4-bit Bidirectional Register with Parallel Loading counting on the principle of threshold logic gates (TLG). After determining the number of logic gates and other circuits needed to complete the desired circuit for our work, we implement some gates and circuits made up of tunnel junctions and capacitances. Some multi-inputs (greater than two) are designed or implemented with the assistance of modified version of the generic multi-input TLG. The types of gates suitable for the implementing the bidirectional Register are 3-input AND, 3-input NAND and 4-input OR gates, in addition an inverter and a more complex circuits like 4:1 Multiplexer are the part and parcel of the desired device. With the help of a 3-input AND gate and a 4-input OR gate, a 4:1 Multiplexer is built. By using the 3-input NAND gate a memory element – D Flip-flop is constructed. At last 4 number of 4:1 Multiplexers and another four number of D Flip-flops are combined in a parallel pattern to implement a 4-bit Bidirectional Register with Parallel Loading. Each component is made after analyzing their corresponding threshold linear equations. After constructing the threshold circuits, again they are formed by using the parameters as capacitors, tunnel junctions with their internal resistances. All the circuit, which are constructed, are verified by simulation with the help of SIMON and the result obtained are investigated and found that they are matched with the theoretical results. For comparing the fastness of our circuit with the CMOS-based or single electron transistor (SET) based circuit, the processing delays of all gates/ circuits are determined. How much power they consume are measured as well. Comparing the delays of CMOS-based and SET based circuit with the TLG based circuit we have decided that our 4-bit Bidirectional Register with Parallel Loading is speedier.
A Mini Review of the Covid-19, Vaccine Platform and Future Preparedness
Authors: Ansari Md Ather Hussain , Hussain Md Sadique , Mohit
Published: September 2021

Many countries are engaged in making vaccine against COVID-19 as the world records more than 38 million SARS-CoV-2 infections and more than one million deaths. It has prompted nations to close the borders, halted companies, kept people inside their homes, and numerous other measures to prevent their spread. We systematically searched on Google scholar, PubMed, LitCovid, and MedRxiv using the certain search terms for published articles. The infection raging through communities is expected to have evoked some degree of immunity in many asymptomatic and recovered individuals. However, the level of protective immunity and duration of such immunity have not been studied in depth. At the same time, spanning from the conventional whole virus vaccine to recombinant vaccines using Adenovirus vectors and first-of-its kind mRNA vaccines are in human trials. Before the effectiveness and safety of such vaccines are established billions of doses have been produced and stockpiled to save time in production and distribution. Antigenic diversity and the potential role of passive surveillance in COVID-19 regulation are explored in this report.
Anomaly Detection System Using Digital Image Processing For The Indian Railways
Authors: Shastry Sharmista , Anshuman Amartya , Tibrewal Vedant , Choukiker Yogesh Kumar
Published: September 2021

The Indian Railways are the lifeline of India's transport system. Being the fourth largest railway network in the world, it covers the length and breadth of the country. In 2018-19, 23.12 million people and 3.36 million metric tons of freight depended on the railways on a daily basis. They bind the economic life of the country and foster the development of industry and agriculture. However, poor maintenance of the railway tracks has caused several accidents over the years. Derailments due to the presence of faults in railway tracks cause heavy loss of life and railway property. Therefore, timely detection and analysis of these cracks is of utmost importance. This proposal aims at providing a cost effective solution to the problem of fault detection in railway tracks using digital image processing.