bluuebunny/crossref_metadata_2025 huggingface dataset:
Isolation and Characterization of Phages Active against Paenibacillus larvae Causing American Foulbrood in Honeybees in Poland
Authors: Jończyk-Matysiak Ewa , Owczarek Barbara , Popiela Ewa , Świtała-Jeleń Kinga , Migdał Paweł , Cieślik Martyna , Łodej Norbert , Kula Dominika , Neuberg Joanna , Hodyra-Stefaniak Katarzyna , Kaszowska Marta , Orwat Filip , Bagińska Natalia , Mucha Anna , Belter Agnieszka , Skupińska Mirosława , Bubak Barbara , Fortuna Wojciech , Letkiewicz Sławomir , Chorbiński Paweł , Weber-Dąbrowska Beata , Roman Adam , Górski Andrzej
Published: June 2021

The aim of this study was the isolation and characterization, including the phage effect on honeybees in laboratory conditions, of phages active against Paenibacillus larvae, the causative agent of American Foulbrood—a highly infective and easily spreading disease occurring in honeybee larva, and subsequently the development of a preparation to prevent and treat this dangerous disease. From the tested material (over 2500 samples) 35 Paenibacillus spp. strains were obtained and used to search for phages. Five phages specific to Paenibacillus were isolated and characterized (ultrastructure, morphology, biological properties, storage stability, and genome sequence). The characteristics were performed to obtain knowledge of their lytic potential and compose the final phage cocktail with high antibacterial potential and intended use of future field application. Preliminary safety studies have also been carried out on healthy bees, which suggest that the phage preparation administered is harmless.
The Importance of Including Water Temperature Simulations in a 2D Fish Habitat Model for the St. Lawrence River
Authors: Ouellet Valerie , St-Hilaire André , Secretan Yves , Mingelbier Marc , Morin Jean , Dugdale Stephen J.
Published: June 2021

Extreme climatic conditions likely caused a massive fish mortality during the summer of 2001 in the St. Lawrence River. To corroborate this hypothesis, we used a physical habitat simulation approach incorporating hydraulic and water temperature models. Spawning Habitat Suitability Indices (HSI) for common carp (Cyprinus carpio) were developed using fuzzy logic and applied to the model outputs to estimate habitat weighted usable area during the event. The results revealed that areas suitable for common carp spawning (HSI > 0.3) were severely reduced by high water temperatures, which exceeded 28 °C during the mortality event. During the mortality event, the amount of suitable habitat was reduced to <200 ha/day, representing less than 15% of the maximum potential suitable habitat in the study reach. In addition, the availability of cooler habitats that could have been used as thermal refuges was also reduced. These results indicate that the high water temperature in spawning areas and reduced accessibility to thermal refuge habitats exposed the carp to substantial physiological and environmental stress. The high water temperatures were highly detrimental to the fish and eventually led to the observed mortalities. This study demonstrates the importance of including water temperature in habitat suitability models.
Diagnosis and Treatment of Prostate Cancer in the Early Stages
Authors: Natanson Mark Abramovich
Published: June 2021

Prostate cancer is the second most common cancer after lung cancer among the representatives of stronger sex; in recent years, there has been a clear trend of increase in incidences. The risk of developing prostate cancer before the age of 50 is minimal, but the older a man becomes, the higher the likelihood of developing of this ailment. In addition to age, risk factors include heredity (more common in people whose relatives suffered from prostate or breast cancer), race (in black men it is twice as common as in white ones), sexual history (with promiscuous sexual contacts). The peak incidence occurs at the age of 75, when almost every one in seven elderly men faces this problem. The issue of
treating prostate cancer is the responsibility of oncologists, but a general practitioner should be familiar with the main manifestations of pathology and diagnostic methods, since diagnosis at an early stage and timely treatment can give patients some more years of full life.
Fundamental Approach to the Treatment of Women with Acute and Chronic Cystitis
Authors: Petrishcheva Olga Alekseevna
Published: June 2021

Cystitis occurs at least once in a lifetime in one of two women; the highest susceptibility
to this disease is noted at the childbearing age — 20–45 years old. Moreover, from 44 % to 82 % of women within a year after the first case of acute uncomplicated cystitis have a relapse, and in 10 % of women the disease takes a chronic course [4]. With age, the likelihood of developing urinary tract infections increases: bacteriuria is diagnosed in 6–10 % of young women and in 25–50 % of people aged 80 years and older. The causative agent of the disease is most often Escherichia coli, less often, Klebsiella, Proteus and Enterococci are detected as a pathogenic agent. Due to the fact that the urethra in women is wider and shorter than in men, women suffer from this ailment much more often, since the infection can get to the bladder quite easily. The issues of diagnosis and treatment of cystitis are in the competence of gynecologists and urologists, but often the initial diagnosis is given already at the appointment of a general practitioner.
Modern aspects of eradication therapy
Authors: Kolesnikova Irina Yurievna , Ivakhnenko Irina Vyacheslavovna , Ponomareva Anzhelika Viktorovna , Krayushkin Sergey Ivanovich
Published: June 2021

The article is a review of Russian and international recommendations, as well as modern
research devoted to the problems of eradication therapy of Helicobacter pylori-associated
diseases. The analysis of the reasons for the decrease in the effectiveness of eradication therapy is carried out, and methods of its optimization are described.
Healthcare of Mexico
Authors: Frolova Elena Vladimirovna
Published: June 2021

Mexico is the largest Spanish-speaking state in North America that borders the United States on one side, and Guatemala and Belize on the other. The country is home to more than 120 million people, in terms of population Mexico ranks 10th. Many Mexicans prefer to live in large cities (for example, every 5th inhabitant of the country lives in the capital of Mexico City, and Mexico City itself is the second largest city in the world), but there are many villages and fishing villages scattered along the coast. The level of
medical care in large metropolitan areas and small settlements varies greatly. Mexico was ranked 21st in the 2018 Bloomberg World Health System Performance Index. This ranking, which allows assessing healthcare systems, was based on three key indicators: average life expectancy at birth, government spending on health as a percentage of GDP per capita, and the cost of health services per capita. However, in terms of life expectancy, Mexico ranks only 80th in the world (the average life expectancy in this country was 75 years in 2018).
Lymphopenia as an indication for the use of recombinant interleukin-2
Authors: Egorova V. N. , Babachenko I. V. , Gisinger O. A. , Titov K. S.
Published: June 2021

Pathogenetic aspects of lymphopenia in various pathological conditions are studied. A statistical assessment of the incidence of lymphopenia in the world is given.
It is shown that prolonged lymphopenia increases the risk of developing diseases of
infectious genesis and an adverse outcome. A long-existing decrease in lymphocytes
leads to the activation of opportunistic infections and becomes the basis for the development of malignant neoplasms and autoimmune pathology. Recombinant interleukin 2 (Roncoleukin®), filling the deficiency of endogenous interleukin 2, is a means of not only substitution, but also of inductive therapy. Restoring the regulatory effects of interleukin 2, Roncoleukin® levels the manifestations of lymphopenia and positively affects the dynamics and outcome of the disease.
Valores interpersonales y pensamiento crítico en estudiantes de una universidad de Lima, 2020
Authors: Flores Morales Jorge Alberto , Huamani Lidia Neyra
Published: June 2021

El objetivo del presente estudio fue determinar la relación entre el Pensamiento crítico y los Valores interpersonales en estudiantes universitarios del I ciclo de una universidad privada de Lima. La muestra fue intencional conformada por 115 participantes. El diseño es no experimental correlacional de enfoque cuantitativo, los datos se analizaron a través de la estadística no paramétrica de Spearman. Se aplicó los cuestionarios de Pensamiento crítico (Zaldivar, 2010) y el cuestionario de Valores Interpersonales (SIV). Los resultados arrojaron que existe una correlación positiva y de mediana intensidad (rho = ,513), por lo cual, la direccionalidad de la correlación es correcta, permitiendo aducir que puntajes altos en los valores interpersonales están relacionados con los puntajes altos del pensamiento crítico: A mayores valores interpersonales, mayor pensamiento crítico.
Actividades lúdicas para el mejoramiento de la lectura compresiva en estudiantes de educación básica
Authors: Venegas Álvarez Gina , Proaño Rodríguez Carlos , Castro Bungacho Sonia , Tello Cóndor Gina
Published: June 2021

El objetivo que persigue este estudio es identificar las principales necesidades presentes en un grupo de estudiantes de Secundaria Básica en cuanto al nivel de lectura comprensiva que poseen y partiendo de esto proponer un programa de actividades lúdicas para lograr el mejoramiento de esta habilidad, tomando en consideración que las actividades lúdicas representan una herramienta pedagógica que contribuye a potenciar la adquisición de conocimientos y el desarrollo de habilidades en el educando, mejorando aspectos como la motivación, la predisposición, la participación, activa y además permite relacionar los contenidos abordados con cargas emocionales positivas. La metodología empleada en el desarrollo de la investigación se enmarca en el enfoque cualitativo-cuantitativo, por medio de la aplicación de la técnica de la encuesta dirigida a los docentes y a los estudiantes, complementado con la modalidad aplicada puesto que se desarrolló una propuesta ajustada a las dimensiones y a las características de la problemática dentro de la Escuela de Educación Básica Numa Pompilio Llona. Los principales resultados, evidencian que el 50% de estudiantes leen poco, el 70% prefieren leer cuentos, el 90% prefieren que su docente fomente la lectura a través de actividades lúdicas y el 40% de ellos refiere falta de comprensión en la lectura.
AVALIAÇÃO BIOCLIMÁTICA DE EDIFÍCIO MODERNO: O CASO DO EDIFÍCIO NOVA CINTRA, PARQUE GUINLE, RIO DE JANEIRO
Authors: da Cunha Victória de Seixas
Published: June 2021

A Arquitetura Moderna Brasileira, desde o seu início, esteve centrada na observância aos conceitos europeus, preconizados por Le Corbusier, como também às características do clima local. Já que a excessiva radiação solar e luminosidade deviam ser controladas e dar privilégio a ventilação natural. Com o crescente debate sobre a preservação do legado do Movimento Moderno, considera-se que as estratégias arquitetônicas de edifícios desta época devem ser melhor estudados. Procura-se combater intervenções futuras que possam neutralizar ou modificar as estratégias passivas originalmente adotadas. Para tanto, o presente artigo tem como objetivo, analisar especificamente o Edifício Nova Cintra, um dos três edifícios implantados no Parque Guinle, Rio de Janeiro, projetado por Lucio Costa, mestre consagrado da arquitetura moderna brasileira. Este conjunto residencial se tornou, em 1986, o único com tombamento a nível nacional, fato que demonstra sua importância e peculiaridade. Analisou-se de forma qualitativa o conforto ambiental, com ênfase nas soluções projetuais propostas pelo arquiteto. Os resultados demonstram a preocupação de Lucio Costa com o máximo aproveitamento dos recursos passivos para garantir o conforto ambiental da edificação, o que se constitui em exemplo de bioclimatismo aplicado à arquitetura.
Effectiveness of an Awareness Programme on Drug Compliance among People with Selected Chronic Diseases
Authors: M Navaneetha.
Published: June 2021

The compliance to drug treatment leads to the prevention of deaths from the disease. Nurses play a very important role in the adherence to treatment by patients. The study aims at exploring the level of drug compliance among people with chronic illness (hypertension and diabetes mellitus), factors that influence the decision of the person and evaluates an awareness programme on the identified issues. The study used a Survey and Evaluative Approach with survey and quasiexperimental design. Purposive samplingwas used to collect data from Marne, Athrady, Herebettu which are rural areas and Malpe area of Manipal which is an urban area. Among 23535 population surveyed a total of 1286 (602 urban and 684 rural) samples with the disease and undergoing treatment were identified. 328(184 urban and 144 rural) people who were not complying to drugs were given awareness programme. The tools used were Demographic performa, Morisky scale, Srivastava Socioeconomic scale, scale for Health status (SF-36) and a scale to assess factors. The study was based on the Rosentoch’s, Becker and Maiman’s Health Belief model.
Hospital based Prospective Study of Thrombocytopenia in Pregnancy
Authors: Maraskolhe Dr. Swati Motilal , Anand Dr. Ashok Ramchandra
Published: June 2021

Background: Thrombocytopenia is the second most common hematologic abnormality after anemia during pregnancy and is usually a benign condition. Thrombocytopenia affects 7% to 10% of all pregnant women. All pregnant women with platelet counts less than 100000/mm3 require careful hematological and obstetric consultation to rule out other more serious disorders.
Objectives: To study the various etiological factors associated the effect and outcome of the mother and neonates born, to study the Management in pregnancy.
Methods: The study was conducted in this tertiary institute over a period of two years and three months. 130 pregnant patients with a platelet count of or less than 100000/mL were included. The course of pregnancy was studied and the investigation profile and maternal and fetal outcome was monitored.
A Novel Approach for the Characterization of Triangular Modulated Frequency Modulated Continuous Wave Low Probability of Intercept Radar Signals via Application of the Wigner-Ville Distribution
Authors: Stevens Daniel L.
Published: June 2021

Digital intercept receivers are changing from Fourier-based analysis to classical time-frequency analysis techniques for analyzing low probability of intercept radar signals. This paper presents a novel approach of characterizing low probability of intercept triangular modulated frequency modulated continuous wave radar signals through utilization and direct comparison of the signal processing techniques Wigner-Ville Distribution versus the Reassigned Smooth Pseudo Wigner-Ville Distribution. The following metrics were used for evaluation: percent error of: carrier frequency, modulation bandwidth, modulation period, chirp rate, and time-frequency localization (x and y direction). Also used were: percent detection, lowest signal-to-noise ratio for signal detection, and plot (processing) time. Experimental results demonstrate that overall, the Reassigned Smooth Pseudo Wigner-Ville Distribution signal processing technique produced more accurate characterization metrics than the Wigner-Ville Distribution signal processing technique.
Comparison of the Contamination Rate and Risk Factor Profile of Blood Culture Done in Emergency Department and MHDU/MICUs
Authors: Singh Dr. Pankaj Kumar
Published: June 2021

Aims and objectives: To determine the risk factors of blood culture contamination done in ED and those done in the MHDU/MICU among patients admitted with medical illness.
Material and Methods: This is a two months’ prospective observational study comparing blood culture contamination rate and risk factors associated with contamination between ED and MICU/MHDU. A total of 998 patients were included in the study who underwent blood culture in ED and MICU/MHDU. 570 in ED and 428 in MICU/MHDU were included after meeting exclusion and inclusion criteria.
Results: Blood culture growths were higher in ED (19%). Most common growth was CoNS (4%). The overall contamination rate in this study was (4.8%) The contamination rate was lower in ED (4.4%) when compared to MICU/MHDU (5.4%).
Çinko Üretimi Atık Kekinin Fosfat Adsorpsiyon Özelliklerinin İncelenmesi
Authors: ÇİFTÇİ Harun , ARSLANOĞLU Hasan
Published: June 2021

Bu çalışmada Kayseri’de bulunan Çinkur işletmelerinde, çinko üretimi sırasında meydana gelen kurşunlu kek olarak adlandırılan, yüksek oranda kurşunun yanında çinko ve demir içeren artığın sulu ortamdan fosfat uzaklaştırılma şartları araştırılmıştır. Bu amaçla bu kekle sulu ortamdan fosfat giderilmesi üzerine, kek dozu, süre, ortam pH’sı ve sıcaklığı ve fosfat konsantrasyonu gibi parametrelerin etkileri incelenmiştir. Elde edilen sonuçlar kullanılarak adsorpsiyon izotermleri elde edilmiş ve bazı termodinamik büyüklükler hesaplanmıştır. Yapılan deneylerde fosfat giderme veriminin önemli ölçüde pH’ya ve kurşun keki dozuna bağlı olduğu bulunmuştur. Ayrıca fosfat uzaklaştırılmasının Langmuir ve Freundlich izotermine uyduğu, 120 dakikalık bir sürenin sonunda dengenin kurulduğu gözlenmiştir. Orijinal pH’sı 7.69 olan 100 mg-P/L konsantrasyonundaki ortofosfat çözeltisinin, 30 g/L dozunda kurşun kekiyle karıştırılıp 120 dakika temas ettirilmesiyle çözeltideki fosfatın yaklaşık %75’i giderilebilmektedir.
Farklı Element Katkılı Sodyum Fosfat Camlarının Sentez ve Karakterizasyonu
Authors: KESER Serhat , TATAR Cengiz , ATEŞ Tankut , INCE Turan , KAYGİLİ Omer
Published: June 2021

Bu çalışmada, yaş kimyasal yöntemi ile üretilen Ba ve Li katkılı sodyum fosfat (NaPO3) camları karakterize edildi. Ba katkılı numunelerin tamamının ve en yüksek Li katkısına sahip numunenin amorf yapıya sahip olduğu görüldü. Bunların haricindeki tüm numunelerin kristal yapıya sahip olduğu gözlendi. Fourier dönüşümlü kızılötesi (FTIR) spektroskopisi sonuçları NaPO3 yapısının oluşumunu desteklemektedir. Morfoloji, katkıların türü ve bunların miktarından etkilendi.
Death and afterlife in the pages of gregory of tours: Religion and society in late Antique Gaul [Book Review]
Authors: Dunn Geoffrey D.
Published: June 2021

Review(s) of: Death and Afterlife in the Pages of Gregory of Tours: Religion and Society in Late Antique Gaul, by Jones, Allen E., Social World of Late Antiquity and the Early Middle Ages (Amsterdam: Amsterdam University Press, 2020) e-book, 324 pages, RRP euro109; ISBN: 9789048540082.
The French of Outremer: Communities and communications in the Crusading Mediterranean [Book Review]
Authors: Pełech Tomasz
Published: June 2021

Review(s) of: The French of Outremer: Communities and Communications in the Crusading Mediterranean, by Morreale, Laura K. and Paul, Nicholas L. (eds), Fordham Series in Medieval Studies (New York: Fordham University Press, 2018) hardback, viii + 296 pages, numerous b and w and colour illustrations, RRP USD 60; ISBN: 9780823278169.
Imagined communities: Constructing collective identities in Medieval Europe [Book Review]
Authors: Pełech Tomasz
Published: June 2021

Review(s) of: Imagined Communities: Constructing Collective Identities in Medieval Europe, by Pleszczynski, Andrzej, Sobiesiak, Joanna, Tomaszek, Michal, and Tyszka, Przemyslaw (eds), Explorations in Medieval Culture 8 (Leiden: Brill, 2018) x + 395 pages, 1 map and 3 colour illustrations, RRP euro134; ISBN: 9789004352476.
Narrating laws and laws of narration in Medieval Scandinavia [Book Review]
Authors: Kennedy John
Published: June 2021

Review(s) of: Narrating Laws and Laws of Narration in Medieval Scandinavia, by Scheel, Roland (ed.), Erganzungsbande zum Reallexikon der Germanischen Altertumskunde 117 (Berlin: de Gruyter, 2020) hardcover, x + 295 pages, 4 b and w illustrations, RRP euro99.95; ISBN 9783110654219.
The making of the Medieval Middle East: Religion, society, and simple believers [Book Review]
Authors: Spalding-Stracey Gillian
Published: June 2021

Review(s) of: The Making of the Medieval Middle East: Religion, Society, and Simple Believers, by Tannous, Jack, (Princeton: Princeton University Press, 2018) hardcover, xiv + 647 pages, 4 b and w illustrations, RRP USD 39.95; ISBN: 9780691179094.
The Christianisation of the Saxons
Authors: Michałowski Roman
Published: June 2021

Taking Christianisation as the process by which an entire society can be said to have become Christian, this article examines that phenomenon in ninth-century Saxony. The conversion of Saxony was unwelcome and imposed often by force, especially during the time of Charlemagne. This process of Christianisation is considered through two texts: 'Translato sancti Alexandrii and Translatio sancti Liborii'. The isolationism of the Saxons and the divine triumph over that position through Charlemagne are emphasised in these later accounts of the translation of the remains of saints Alexander and Liborius, whose bodies and the miracles associated with them helped reverse the reintroduction of paganism. At the same time, political necessity had seen the Saxons being granted the right to return to their old way of life in support of the Carolingian rulers. In the end, being Christian was portrayed as the best way to be Saxon and the process of Christianisation hastened.
The baptism of Poland in historiography and the historical consciousness of the poles in the nineteenth and twentieth centuries
Authors: Cetwiński Marek
Published: June 2021

Polish national identity has long been caught up with questions of Christianity and Catholicism, with some scholars in the nineteenth and twentieth centuries arguing that a turn to Christianity in the tenth century was a turn away from a more glorious non- Christian identity and that ties with Catholicism rather than Orthodoxy was a betrayal of a Slavic heritage. The question of whether Catholicism has helped or hindered Poland is much debated and Polish history is read through the lens of this controversy, which itself is a product of Polish history in the nineteenth and twentieth centuries, that has tended to downplay the significance of religion in political and social life and sought to understand Polish relationships with Germans and Russians. Appreciating this means that the question about when Poland became Christian admits of no straightforward answer.
Exploring Fraudulent Honey Cases from Readily Available Food Fraud Databases
Authors: Ahmad Nur Nisaa , Khairatun Siti Nurhayati
Published: June 2021

Objective - Honey has been identified statistically, from an extensive record of scholarly journals and media reports, as one of the most adulterated ingredients. It has a long history of dilution, substitution, misrepresentation of floral sources, and geographical origin. Despite the growing reported honey adulteration cases, the global honey market has been retaining its dominance. According to Market Research Future, honey demand estimates to flourish at a substantial growth rate of 7.22% during the forecast period of 2017-2023. Increasing demand and commercial value of honey motivate falsification and adulteration in honey. This paper aims to examine the underlying factor of honey fraud's existence and prevalence by reviewing the core issues in honey quality assurance from a commercial standpoint.

Methodology/Technique - This paper reports on the industry scale of honey fraud using data from existing food fraud databases. Honey fraud cases from Food Adulteration Incidents Registry (FAIR) and Food Fraud Summary Month Reports were extracted, reviewed, and summarized.

Finding - The findings begin with an overview of past cases and current standing of honey fraud, followed by identification of the types of fraudulent practices on honey, and lastly, highlighting the challenges in fighting honey fraud. Findings conclude the scale of honey fraud which is widespread and interconnected across the world. Honey fraud includes fraudulent admixing with sugars or lower quality honey and incorrect labeling of honey's geographical origin or floral source. Challenges in combatting honey fraud are primarily due to financial motivations for producing and selling fraudulent honey and low control measures in the traceability system.

Novelty - This paper reports on the scale of honey fraud in the industry using data from the existing food fraud database. Compared to the abundance of research reporting on the latest most advanced detection method for honey authenticity, this paper examines the underlying factor on the existence of honey fraud and the fundamental control measure to be taken.

Type of Paper - Review

Keywords: Fraudulent Honey; Honey Adulteration; Industrial Malpractice; Apiculture

JEL Classification: Q10, Q18.

URI: http://gatrenterprise.com/GATRJournals/GJBSSR/vol9.2_1.html

DOI: https://doi.org/10.35609/gjbssr.2021.9.2(1)

Pages 99 – 113
Współpraca cywilno-wojskowa NATO: oczekiwania i konflikt roli
Authors: Mazurkiewicz Agata
Published: June 2021

In the context of contemporary peacekeeping operations, NATO states established civil-military cooperation (CIMIC) – a military function aiming at maintaining contact between the NATO armed forces and other civilian and military actors present in an area of military operations. As a result of their tasks, CIMIC soldiers are confronted with various expectations pertaining to their behaviour, principles and values. This pool of normative requirements includes contradictory expectations formulated by civilian and military reference groups, leading to the emergence of a role conflict. Building on the theoretical assumptions of  structural symbolic interactionism and the division into a “warrior” and “peacekeeper” role of a soldier, this article presents expectations that comprise the role of a CIMIC soldier and the areas of role conflict experienced by members of CIMIC units. It also offers a reflection on the role of a contemporary soldier. The article is based on interviews with CIMIC soldiers, observations and content analysis of NATO CIMIC documents.
Smart Blind Stick Design and Implementation
Authors: Elsonbaty Amira. A.
Published: June 2021

Technologies are rapidly evolving, allowing
people to live healthier and simpler lives. Sightless people are
unable to carry out their everyday activities, such as walking
down the street, visiting friends or relatives, or doing some other
mundane tasks. As a result, the smart stick is a stick that can
assist a person in walking safely without fear of colliding with
another person or solid objects is proposed as a solution to this
major issue. It is a development of the traditional blind stick as it
acts as a companion for the blind when walking by sending audio
alerts to the blind via a headphone connected to the phone with
obstacles (water/walls/stairs / muddy ground) and also enables
him to make a phone call to ask for help. EasyEda software was
used for designing and simulating electrical circuits, was used to
model the electric circuit. This system functions similarly to a
white cane in that it assists blind people in scanning their
surroundings for obstacles or orientation marks. This system will
be mounted on a white cane with an ultrasonic sensor, and a
water sensor to detect changes in the environment. Ultrasonic
sensors detect obstacles in front of it using ultrasonic wave
reflection, water detection sensors detect whether there is a
puddle.
Dielectric Elastomer Grippers
Authors: Patel Mills , Khamar Rudrax , Shah Akshat , shah Tej , Soneji Bhavik
Published: June 2021

This paper appraisals state-of-the-art dielectric
elastomer actuators (DEAs) and their forthcoming standpoints as
soft actuators which have freshly been considered as a crucial
power generation module for soft robots. DEs behave as yielding
capacitors, expanding in area and attenuation in thickness when
a voltage is applied. The paper initiates with the explanation of
working principle of dielectric elastomer grippers. Here the
operation of DEAs include both physics and mechanical
properties with its characteristics, we have describe methods for
modelling and its introductory application. In inclusion, the
artificial muscle based on DEA concept is also formally
presented. This paper also elaborates DEAs popular application
such as- Soft Robotics, Robotics grippers and artificial muscles.
IoT Based Ambulance Alert System for Geriatric people
Authors: S Lavanya , M Madhumitha , R Srividhya , V Srividhyasakthi
Published: June 2021

Geriatric people are more prone to physiological
imbalances due to the effect of aging. They face many problems in
their day to day life which are needed to be solved before any
serious complication arises. Most of the geriatric people are not
getting adequate healthcare especially in case of old age homes
the manager has to visit them in person to check their condition.
Thus, providing them with remote and quick access to healthcare
has become crucial. Our work focuses on, design of Internet of
Things based vital parameter monitor for geriatric people along
with Ambulance alert system. This device helps the old age home
managers to monitor the condition of the patients with the help of
an application. Based on Internet of Things technology, the
application gets the temperature and SpO2 data of a patient and in
case of emergency, nearby ambulances are tracked and alerted to
save the lives. In addition, it will also be useful for contactless
monitoring of patients who are affected by COVID-19 virus.
Extended Kalman Filter Based Estimations for Satellite Attitude Control System
Authors: Dube D. Y. , Sharma S. N. , Patel H. G.
Published: June 2021

This paper mainly focuses on the maneuver of the satellite in orbit. A non-linear multi-inputs multi-outputs model has been derived from Newton-Euler equations of motion. The dynamics is presented with control methodologies allowing the Extended Kalman Filter (EKF) to iteratively provide improved data sets with zero errors. As the system is distracted from the atmospheric swings which are random hence the problem of stochastic disturbance is furnished. A set of differential equations of two dimensional Ito stochastic type is used for modeling the said disturbances (before t = 4s is recorded). The attitude parameters are recorded in RT-LAB setup with the Extended Kalman Filter (EKF) providing adequately superior estimation outcome which thereby makes the filter more appealing. With the presence of Gaussian noise in both dimension and system, Extended Kalman Filter gives the correct estimates. It’s collaboration with hardware setup RT-LAB is commendable. Hence, an Extended Kalman Filter which deals with such nonlinear models proves to be a higher choice for achieving best online results. A comparison reflecting the tracking and stable control of the satellite for the designed advanced adaptive robust controller (AARC) for two situations is plotted. The priority of making the system stable in the presence of stochastic disturbance is also visited. Also, the use of three different values of the confounding variables revealed that the control weighting line is completely diminished thereby boosting the tracking when the satellite is in orbit. Moreover, the previous research involves methods to improve satellite communication on ground station, this paper deals with exact positioning of concerned satellite attitude parameters and its validation tested experimentally on OPAL-RT hardware. To sum up, the development of advanced adaptive robust controllers have encouraged the stability and accuracy of systems considering the varying atmospheric conditions. The simulation results predict perfect tracking of output with respect to the desired set-point in the presence of stochastic disturbance for the proposed controller.
Blockchain Based Detection of Android Malware using Ranked Permissions
Authors: Gupta Siddhant , Sethi Siddharth , Chaudhary Srishti , Arora Anshul
Published: June 2021

Android mobile devices are a prime target for a huge
number of cyber-criminals as they aim to create malware for
disrupting and damaging the servers, clients, or networks.
Android malware are in the form of malicious apps, that get
downloaded on mobile devices via the Play Store or third-party
app markets. Such malicious apps pose serious threats like system
damage, information leakage, financial loss to user, etc. Thus,
predicting which apps contain malicious behavior will help in
preventing malware attacks on mobile devices. Identifying
Android malware has become a major challenge because of the
ever-increasing number of permissions that applications ask for,
to enhance the experience of the users. And most of the times,
permissions and other features defined in normal and malicious
apps are generally the same. In this paper, we aim to detect
Android malware using machine learning, deep learning, and
natural language processing techniques. To delve into the
problem, we use the Android manifest files which provide us with
features like permissions which become the basis for detecting
Android malware. We have used the concept of information value
for ranking permissions. Further, we have proposed a
consensus-based blockchain framework for making more
concrete predictions as blockchain have high reliability and low
cost. The experimental results demonstrate that the proposed
model gives the detection accuracy of 95.44% with the Random
Forest classifier. This accuracy is achieved with top 45
permissions ranked according to Information Value.
An Identification of Magnetizing Current Phenomenon in Steady State Condition
Authors: Sarswat Meenakshi , Varshney Lokesh
Published: June 2021

This document is basically based on the magnetizing current phenomenon of transformer. In this paper we will see how the magnetizing current behave when the core material has linear and non-linear characteristics.
Fundamentals of Transportation Problem
Authors: Mallia Bhabani , Das Manjula , Das C.
Published: June 2021

Transportation Problem is a linear programming problem. Like LPP, transportation problem has basic feasible solution (BFS) and then from it we obtain the optimal solution. Among these BFS the optimal solution is developed by constructing dual of the TP. By using complimentary slackness conditions the optimal solutions is obtained by the same iterative principle. The method is known as MODI (Modified Distribution) method. In this paper we have discussed all the aspect of transportation problem.
Wireless Sensor Based Forest Fire Early Detection with Online Remote Monitoring
Authors: Mahalingam Shobana , Deep Meka Sai , Krishna Kotha Sai
Published: June 2021

Since most countries have an extensive forest
resources, there are often, if not constantly, fires that erupt in these
countries from these causes. The majority of vulnerable areas are
found in warm climates. Since its highest elevation is a hundred
and theta, this piece of infrastructure enables substantial
vegetation, but since summers are hot and arid, the risks an
overload. When global warming gets more intense, these types of
disasters will become more frequent and worse. Much more land in
the seasonal forest fires have been lost each year due to a
destructive cutting practises, the old forestry, as well as assets, such
as private residences and other structures. Additionally, it puts
firefighters and the general public at risk, who on an equal scale
suffer from a lot of death and illness each year. this sensor,
microprocessor, and network technology] developed greatly
expanded our] so we are now able to reliably detect the current
spread of forest fires and begin to respond quickly to their
progression. After natural timberland fires are set, which are
frequent in remote regions where trees have not been selectively
logged, they burn down into tinder, then new trees grow from seeds
in their ashes, the older ones' fuel die and that spread. These pieces
are particularly susceptible to being set on fire, which is an
excellent location for matches and pyrotechnics. Although many a
midsummer's day can cause a flame to erupt, the wick to expand, it
can also be stoked by the normal process of human activities like
smoking or using a heat source. Start running the process just as
soon as the components are ready to go up in the flame. As the
breeze expands the flame, the basic element of the vapour gets built
up.
Selection and Analysis of Input-Output Variables using Data Envelopment Analysis of Decision Making Units - Indian Private Sector Banks
Authors: Vittal B. , Nellutla Raju , Reddy M. Krishna
Published: June 2021

In banking system the evaluation of productivity
and performance is the key factor among the fundamental
concepts in management. For identify the potential performance
of a bank efficiency is the parameter to evaluate effective
banking system. To measure the efficiency of a bank selection of
appropriate input-output variables is one of the most vital issues.
The suitable identification of input-output variables helps to
create and identify model in order to evaluate the efficiency and
analysis. The Data Envelopment Analysis (DEA) is a
mathematical approach used to measure the efficiency of
identified Decision Making Units (DMUs). The DEA is a
methodology for evaluating the relative efficiency of peer
decision making units of identified input/output variables for the
financial year 2018-19. In this study the basic DEA CCR, BCC
models used for measure the efficiency of DMUs. In addition to
these models for minimize the input excess and output shortfall
Slack Based Measure (SBM) efficiency used. The SBM is a
scalar measure which directly deals with slacks of input, output
variables which help in obtain improved efficiency score
compare with previous model. The result from the analysis is
Outlier Detection in High Dimensional Data
Authors: L. Anusha , G S Nagaraja
Published: June 2021

Artificial intelligence (AI) is the science that allows
computers to replicate human intelligence in areas such as
decision-making, text processing, visual perception. Artificial
Intelligence is the broader field that contains several subfields
such as machine learning, robotics, and computer vision.
Machine Learning is a branch of Artificial Intelligence that
allows a machine to learn and improve at a task over time. Deep
Learning is a subset of machine learning that makes use of deep
artificial neural networks for training. The paper proposed on
outlier detection for multivariate high dimensional data for
Autoencoder unsupervised model.
Device Classification-Based Context Management for Ubiquitous Computing using
Machine Learning
Authors: Mhetre Nalini A. , Deshpande Arvind V. , Mahalle Parikshit Narendra
Published: June 2021

Ubiquitous computing comprises scenarios where
networks, devices within the network, and software components
change frequently. Market demand and cost-effectiveness are
forcing device manufacturers to introduce new-age devices. Also,
the Internet of Things (IoT) is transitioning rapidly from the IoT
to the Internet of Everything (IoE). Due to this enormous scale,
effective management of these devices becomes vital to support
trustworthy and high-quality applications. One of the key
challenges of IoT device management is proactive device
classification with the logically semantic type and using that as a
parameter for device context management. This would enable
smart security solutions. In this paper, a device classification
approach is proposed for the context management of ubiquitous
devices based on unsupervised machine learning. To classify
unknown devices and to label them logically, a proactive device
classification model is framed using a k-Means clustering
algorithm. To group devices, it uses the information of network
parameters such as Received Signal Strength Indicator (rssi),
packet_size, number_of_nodes in the network, throughput, etc.
Experimental analysis suggests that the well-formedness of
clusters can be used to derive cluster labels as a logically semantic
device type which would be a context for resource management
and authorization of resources.
Prognosis of Cancer - A Semi Markov Process
Authors: Dalabanjan Manjula S , Agrawal Pratibha , T Deepthi , Suranagi M. D.
Published: June 2021

Cancer begins in cells, the building blocks that
make up tissues. Tissues make up the organs of the body. The
buildup of extra cells often forms a mass of tissue called a
growth, polyp or tumor. Tumors can be benign (non cancerous)
or malignant (cancerous). Benign tumors are not as harmful as
malignant tumors. The transformation of normal cells into
cancer cells is called Carcinogenesis.Cancer is one of the major
health problems persisting world-wide. Urbanization,
industrialization, changes in lifestyles, population growth and
ageing all have contributed for epidemiological transition in the
country. The absolute number of new cancer cases is increasing
rapidly due to growth in size of the population The stages of
cancer are considered as different states of a Markov Process.
Discrete-time Markov chains have been successfully used to
investigate treatment programs and health care protocols for
chronic diseases like HIV, AIDS, Hypertension etc. In this study,
the process of carcinogenesis was classified into 6 states. The
history of every patient is recorded in the form of a data segment
starting from initial state.The transitional states and absorbing
states are well defined. Since all the patients under study do not
reach the last state at a given point of time, the process was
studied as a Semi Markov Process. Maximum likelihood
estimation of the transitional probabilities, the survival function,
the hazard function and the waiting time distribution of patients
in different states were studied. This kind of statistical
methodology used to study the prognosis of cancer can be applied
to real-time data of cancer patients.
Optimum Pavement Thickness for Rigid Pavement in UP Eastern Region
Authors: Pandey Shubham , Sachan A.K. , Rawat Anupam , Singh Saurabh
Published: June 2021

Highways are important in the growth of the economy of the nation. Pavement distributes and reduces the loads to the subgrade so as not to destruct the pavement foundation and subgrade. Thermal stresses are more vulnerable and to be included as the ability to contract and expand concrete is very less. The roads provide vehicle access to various points in all weather conditions and provide road users with a clean, smooth, and comfortable ride without unnecessary delay or excessive wear and tear. Since the UP eastern region faces tremendous temperature differences, load variations, and moisture conditions. This paper puts an attempt to identify the optimum thickness of the rigid pavement to sustain these extreme temperature variations, high humidity, and various load configurations. In this paper the various configurations of the loads are taken from the IRC 6: 2016 along with the various moisture and temperature data are taken from the Indian Meteorological Department (IMD) ministry of Earth and Science government of India. The paper gives a brief idea of pavement thickness selection. This paper utilizes Finite Element Method (FEM) based Software’s KENPAVE along with ANSYS 12.1 for a better understanding of the critical stress and its positions where the pavement needs attention in the design. All these varying conditions are incorporated in these software’s and the results obtained were in the form of figures, graphs, and deflected shapes. Parametric variation in the pavement section (i.e. variation in thickness of PQC, DLC layer, and in Modulus of Elasticity), variation in poisons ratio and temperature by using these results and doing cost analysis the optimum pavement thickness was obtained.
A Review on Secure Data Transmission for Banking Application using Machine Learning
Authors: Bhaskar Gurram , Reddy Motati Dinesh , Mounika Thatikonda ,
Published: June 2021

Security on the Internet of Things (IoT) accentuates
safeguarding the Internet-empowered devices that connect to
remote networks. IoT Safety endeavors to shield IoT gadgets and
frameworks against cybercrime, and it is considered a vital
security element linked to the IoT. Conversely, banking
applications are dynamically being regulated for their inability to
give an adequate level of client assistance and insure themselves
against and react to digital assaults. One of the primary
components for this is the weakness of Fintech systems and
organizations to breaking down. Therefore, wireless organizations
covering these IoT items are incredibly unprotected. IoT is a
lightweight framework, and it is ideal when utilizing lightweight
and energy-effective cryptography for assurance. Deep learning is
a proficient technique to examine dangers and react to assaults
and security occurrences. So this business locales both security
and energy productivity in IoT utilizing two novel strategies
helped out through the deep learning. This work adds to the most
inventive method of saving energy in IoT gadgets through
diminishing the utilization of energy-costly '1' values in the
interface of Dynamic RAM. This should be possible by utilizing
Base + XOR encoding of information during information
transmission. Utilizing Conditional Generative Adversarial
Network (CGAN) based deep learning strategy, the Base + XOR
encoding technique and C.X.E. are prepared or trained quite well
in the banking/financial application. The information age in
CGAN is done dependent on rules delivered utilizing the generator
model. This work is ended up being burning-through less energy,
less information transmission time, and gives greater security
when thought about the existing frameworks.
Vehicular Security: Drowsy Driver Detection System
Authors: Pendyala Pranavi , Munshi Aviva , Mehra Anoushka
Published: June 2021

Detecting the driver's drowsiness in a consistent
and confident manner is a difficult job because it necessitates
careful observation of facial behaviour such as eye-closure,
blinking, and yawning. It's much more difficult to deal with when
they're wearing sunglasses or a scarf, as seen in the data
collection for this competition. A drowsy person makes a variety
of facial gestures, such as quick and repetitive blinking, shaking
their heads, and yawning often. Drivers' drowsiness levels are
commonly determined by assessing their abnormal behaviours
using computerised, nonintrusive behavioural approaches. Using
computer vision techniques to track a driver's sleepiness in a
non-invasive manner. The aim of this paper is to calculate the
current behaviour of the driver's eyes, which is visualised by the
camera, so that we can check the driver's drowsiness. We present a
drowsiness detection framework that uses Python, OpenCV, and
Keras to notify the driver when he feels sleepy. We will use
OpenCV to gather images from a webcam and feed them into a
Deep Learning model that will classify whether the person's eyes
are "Open" or "Closed" in this article.
Design and Fabrication of Wheelchair CUM Stretcher
Authors: Shah Yash , Patel Neel , Patel Nischay , Patel Shail , Surani Piyush
Published: June 2021

The wheelchair and stretcher are very widely used in
hospitals, airports, train stations, shopping malls, etc. This design
here is a modified wheelchair stretcher as needed. This machine
converts the wheelchair into a stretcher. The chair transforms into
a stretcher when the levers are operated. The stretchers can be
detached from the main frame according to the convenience of the
patient and doctors can make it easier Access to the patient with
less effort and transport The folding mechanism enables a large
number of stretchers arranged in chair form to be accommodated
in a comparatively smaller space. in hospitals, patients have to be
moved from a wheelchair to a stretcher, from a stretcher to a bed,
from a bed to a wheelchair or vice versa; which creates unsafe
conditions for patients. A wheelchair stretcher is required to
facilitate mobility for the disabled patient.