bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing the societal adoptability of participatory water management: an application of the Motivation and Ability (MOTA) framework
Authors: Sadik Md Shibly , Hermans Leon M. , Evers Jaap , Nguyen Hong Quan , Khan Malik Fida A. , Ahmed Sadiq
Published: July 2021

Exploring whether society is sufficiently equipped and motivated to adopt planned interventions is vital for modern plan development trajectories. The Motivation and Ability (MOTA) framework offers a tool to assess the societal adoptability of plans by exploring stakeholders' motivations and abilities. It was originally developed to assess plan implementation feasibility for structural measures of flood management in the Mekong Delta. Further development is necessary before applying the tool in other contexts and for other types of planning interventions. Institutional measures like participatory water management (PWM) have long been recognized as essential elements for water management, but have so far also remained out of the reach of conventional planning assessment tools such as cost–benefit or cost-effectiveness analyses. This research, therefore, aims at extending the MOTA tool in the context of PWM reforms in Bangladesh. It does this by, first, further detailing the MOTA components and identifying indicators for quantification and, second, an expert validation and application of this framework for coastal communities in Bangladesh. Our results suggest that the MOTA framework is capable of informing policymakers and implementing agencies about how to enhance the stakeholders' motivation and ability to ensure an enduring implementation of PWM reforms.

HIGHLIGHTS The Motivation and Ability (MOTA) framework appeared recently to capture the societal and institutional dimensions in assessing the implementation feasibility of structural measures. This research further extends the MOTA framework and tests whether this can be applicable in case of assessing the implementation feasibility of soft measures like participatory water management.
Composición, diversidad y estructura de un bosque manejado del centro de México
Authors: Rendón-Pérez Martha Azucena , Hernández-de la Rosa Patricia , Velázquez-Martínez Alejandro , Alcántara-Carbajal José Luis , Reyes-Hernández Valentín  José
Published: July 2021

La caracterización estructural de la vegetación facilita la toma de decisiones de manejo forestal y la prescripción de prácticas silvícolas adecuadas a los propósitos del propietario. En el ejido Nopalillo, municipio de Epazoyucan, al sureste de Hidalgo, México, se realiza aprovechamiento forestal maderable en tres asociaciones arbóreas, cada una dominada por Pinus montezumae Lamb., Pinus pseudostrobus Lindl. y Pinus patula Schltdl. et Cham., respectivamente; además, el ejido cuenta con una superficie dominada por Pinus-Quercus que ha sido destinada a la conservación. Con el objetivo de valorar composición, diversidad y estructura de estas asociaciones, se analizó información de los estratos arbóreo, arbustivo y herbáceo de 79 sitios de muestreo. Se calcularon índices de valor de importancia, de diversidad de Margalef, de Simpson y de Sorensen y se describen las estructuras vertical y horizontal de la vegetación. La asociación Pinus-Quercus presentó la mayor área basal (28 m2/ha), diámetro normal y altura promedio (20.5 cm y 10.7 m, respectivamente), la mayor proporción de árboles de dimensiones grandes (diámetro normal > 60 cm) y una composición de especies diferente a las otras asociaciones. La mayor riqueza de especies se registró en las áreas bajo aprovechamiento maderable, pero la diversidad arbórea fue superior en el bosque de Pinus-Quercus. Estos resultados se proponen como referentes para la identificación de los efectos de las prácticas silvícolas sobre la vegetación y para el desarrollo de estrategias de manejo, conservación y uso del bosque.
Using a Convolutional Neural Network to Predict Remission of Diabetes After Gastric Bypass Surgery: Machine Learning Study From the Scandinavian Obesity Surgery Register
Authors: Cao Yang , Näslund Ingmar , Näslund Erik , Ottosson Johan , Montgomery Scott , Stenberg Erik
Published: July 2021

Background

Prediction of diabetes remission is an important topic in the evaluation of patients with type 2 diabetes (T2D) before bariatric surgery. Several high-quality predictive indices are available, but artificial intelligence algorithms offer the potential for higher predictive capability.

Objective

This study aimed to construct and validate an artificial intelligence prediction model for diabetes remission after Roux-en-Y gastric bypass surgery.

Methods

Patients who underwent surgery from 2007 to 2017 were included in the study, with collection of individual data from the Scandinavian Obesity Surgery Registry (SOReg), the Swedish National Patients Register, the Swedish Prescribed Drugs Register, and Statistics Sweden. A 7-layer convolution neural network (CNN) model was developed using 80% (6446/8057) of patients randomly selected from SOReg and 20% (1611/8057) of patients for external testing. The predictive capability of the CNN model and currently used scores (DiaRem, Ad-DiaRem, DiaBetter, and individualized metabolic surgery) were compared.

Results

In total, 8057 patients with T2D were included in the study. At 2 years after surgery, 77.09% achieved pharmacological remission (n=6211), while 63.07% (4004/6348) achieved complete remission. The CNN model showed high accuracy for cessation of antidiabetic drugs and complete remission of T2D after gastric bypass surgery. The area under the receiver operating characteristic curve (AUC) for the CNN model for pharmacological remission was 0.85 (95% CI 0.83-0.86) during validation and 0.83 for the final test, which was 9%-12% better than the traditional predictive indices. The AUC for complete remission was 0.83 (95% CI 0.81-0.85) during validation and 0.82 for the final test, which was 9%-11% better than the traditional predictive indices.

Conclusions

The CNN method had better predictive capability compared to traditional indices for diabetes remission. However, further validation is needed in other countries to evaluate its external generalizability.
Classification of Electronic Health Record–Related Patient Safety Incidents: Development and Validation Study
Authors: Palojoki Sari , Saranto Kaija , Reponen Elina , Skants Noora , Vakkuri Anne , Vuokko Riikka
Published: July 2021

Background

It is assumed that the implementation of health information technology introduces new vulnerabilities within a complex sociotechnical health care system, but no international consensus exists on a standardized format for enhancing the collection, analysis, and interpretation of technology-induced errors.

Objective

This study aims to develop a classification for patient safety incident reporting associated with the use of mature electronic health records (EHRs). It also aims to validate the classification by using a data set of incidents during a 6-month period immediately after the implementation of a new EHR system.

Methods

The starting point of the classification development was the Finnish Technology-Induced Error Risk Assessment Scale tool, based on research on commonly recognized error types. A multiprofessional research team used iterative tests on consensus building to develop a classification system. The final classification, with preliminary descriptions of classes, was validated by applying it to analyze EHR-related error incidents (n=428) during the implementation phase of a new EHR system and also to evaluate this classification’s characteristics and applicability for reporting incidents. Interrater agreement was applied.

Results

The number of EHR-related patient safety incidents during the implementation period (n=501) was five-fold when compared with the preimplementation period (n=82). The literature identified new error types that were added to the emerging classification. Error types were adapted iteratively after several test rounds to develop a classification for reporting patient safety incidents in the clinical use of a high-maturity EHR system. Of the 427 classified patient safety incidents, interface problems accounted for 96 (22.5%) incident reports, usability problems for 73 (17.1%), documentation problems for 60 (14.1%), and clinical workflow problems for 33 (7.7%). Altogether, 20.8% (89/427) of reports were related to medication section problems, and downtime problems were rare (n=8). During the classification work, 14.8% (74/501) of reports of the original sample were rejected because of insufficient information, even though the reports were deemed to be related to EHRs. The interrater agreement during the blinded review was 97.7%.

Conclusions

This study presents a new classification for EHR-related patient safety incidents applicable to mature EHRs. The number of EHR-related patient safety incidents during the implementation period may reflect patient safety challenges during the implementation of a new type of high-maturity EHR system. The results indicate that the types of errors previously identified in the literature change with the EHR development cycle.
The Development History and Research Tendency of Medical Informatics: Topic Evolution Analysis (Preprint)
Authors: Han Wenting , Han Xi , Zhou Sijia , Zhu Qinghua
Published: July 2021

BACKGROUND

Medical informatics has attracted the attention of researchers worldwide. It is necessary to understand the development of its research hot spots as well as directions for future research.

OBJECTIVE

The aim of this study is to explore the evolution of medical informatics research topics by analyzing research articles published between 1964 and 2020.

METHODS

A total of 56,466 publications were collected from 27 representative medical informatics journals indexed by the Web of Science Core Collection. We identified the research stages based on the literature growth curve, extracted research topics using the latent Dirichlet allocation model, and analyzed topic evolution patterns by calculating the cosine similarity between topics from the adjacent stages.

RESULTS

The following three research stages were identified: early birth, early development, and rapid development. Medical informatics has entered the fast development stage, with literature growing exponentially. Research topics in medical informatics can be classified into the following two categories: data-centered studies and people-centered studies. Medical data analysis has been a research hot spot across all 3 stages, and the integration of emerging technologies into data analysis might be a future hot spot. Researchers have focused more on user needs in the last 2 stages. Another potential hot spot might be how to meet user needs and improve the usability of health tools.

CONCLUSIONS

Our study provides a comprehensive understanding of research hot spots in medical informatics, as well as evolution patterns among them, which was helpful for researchers to grasp research trends and design their studies.

CLINICALTRIAL
Land as an Object of Land Relations: Constitutional and Legal Aspect
Authors:   Vinnytsia National Agrarian University, Pravdiuk Andrii
Published: July 2021

The article examines constitutional and legal problems of the study of the object composition of land relations. Analysis of scientific views in the national legal doctrine on interpreting the meaning of the term “land” is carried out. It is concluded that the basic principles of land relations are declared in the Constitution of Ukraine, and their analysis enables us to argue that a land is a unique object of legal relations. In the Constitution of Ukraine, the term “land” is used in several meanings, namely as the object of property rights of the Ukrainian people; the object of property rights of citizens, legal entities and the state; the object of the law of the territorial community; the object of special protection by the state. Thus, land relations have a particular subject and object composition. The specific features of the land as an object of legal relations declared in the Constitution of Ukraine determine the content of land relations.
History of Development of the Nostratichesky Theory
Authors:   Azerbaijan National Academy of Science İnstitute of Linguistics named after Nasimi, Imanova Nurlana Nizami kyzy
Published: July 2021

In the article, the essence of the nostratichesky theory reflecting theoretical regulations on the unity of origin of world languages reveals an analytical interpretation of the researches conducted so far in Azerbaijani linguistics according to this theory is given. The author's opinion about the basic principles of the nostratichesky concept is stated. In article works of linguists who conducted researches in the field are in detail commented. The author notes that further development of nostratichesky linguistics entirely depends on the readiness of researchers to overcome the problems described within the article. The stated scientific materials and results of this research have practical importance for nostratichesky linguistics in general.
Genesis of Development of Responsibility for Corruption Crimes (part 2)
Authors:   University of State Fiscal Service of Ukraine, Kuzmenko Olena , Shakhvorost Artem ,   University of State Fiscal Service of Ukraine
Published: July 2021

The article studies the history of the development of responsibility for corruption crimes on the territory of Ukraine during the USSR period of existence and after its collapse. Corruption crimes and the degree of responsibility for them are analyzed. Based on the development of regulations and public administration, global historical periods related to liability for corruption crimes are distinguished.
Fractured Ties: Power Competition and Politics Influencing Security Strategies of Kenya and Somalia in the Horn of Africa Region
Authors:   Chuka University, Holla Abel Bennett
Published: July 2021

Kenya and Somalia share a common pre- and post-colonial history, and both countries have a substantial ethnic Somali population. They also share a resource-rich marine boundary, which has been the centre of controversy as each country claims it. Additionally, both Kenya and Somalia are critical players in the Horn of Africa region. Their security relations will to a significant extent, determine the peace and stability of the region. Although the consideration of power competition could primarily shape Somalia's security strategy in the Horn of Africa region, the role of domestic politics and economic factors in Somalia's strategic thinking cannot be discounted. Kenya has primarily adopted a pragmatic approach to managing her relations with Somalia over the past decade. With Kenya and Somalia sharing a long porous border, which is frequented by al-Shabaab and other insurgent groups, it is expected that skirmishes will erupt as forces on either side tackle security threats. Other pertinent issues affecting the Kenya-Somalia relations include increased piracy, unlicensed, illegal and unreported fishing along the Gulf of Aden alongside toxic waste dumping in the area. To ensure that these activities are controlled and curtailed, there is a need for solid cooperation, notwithstanding the long-simmering differences between the two nations. Based on a wide range of sources, this article examines salient issues contributing to simmering tension between Kenya and Somalia. It also provides a critical evaluation of Kenya's perceptions of Somalia and their implications.
Guarantees of Ensuring Equality Before the Law and the Court in Ukraine
Authors:   Supreme Court, Serdiuk Valentyn , Liubarskyi Valentyn ,   Lviv University of Business and Law, Skrynkovskyy Ruslan ,   Lviv University of Business and Law
Published: July 2021

The article provides a theoretical analysis of the implementation of the principle of equality before the law and the court as the main principle of justice. Next, the modern understanding of the principle of equality before the law and the court is studied. Finally, the inviolability of citizens and various officials to whom inviolability is granted for exercising their powers in terms of equality before the law and the court is analyzed.
Effect of Socio-Economic Attributes on Resident’s Satisfaction in Low-Density Area of Bauchi Metropolis
Authors:   Abubakar Tafawa Balewa University, Umar Muhammad , Oyeleke Oyediran Olufemi ,   Federal Polytechnic Nasarawa, Adeleke Moses Adegbile ,   The Oke-Ogun Polytechnic, Saki, Ojeniyi Sulaiman Adekunle ,   Ecole Superieure Sainte Felicite University
Published: July 2021

This study examined the effect of socio-economic attributes of residents on housing satisfaction in the Bauchi metropolis to reveal ways to improve households’ housing situation in the Bauchi metropolis. The study adopted a quantitative approach. The questionnaire was designed and administered to 380 House Hold Heads with 258 retrieved. Households were surveyed employing stratified random sampling to generate data on the households’ socio-economic attributes and housing satisfaction. Data collected were subjected to descriptive statistics (Mean score and frequency table) and multiple regression through the use of SPSS to examine the effect of variables. The study revealed that most households have means of earning income and that household size is large. Households in the low-density area have moderate satisfaction with their housing condition. The study demonstrated a significant effect of socio-economic attributes on housing conditions and satisfaction in the study area. As a matter of urgency, it was recommended that the government provide the lacking social amenities, renovate the deteriorating ones, and enforce development control standards.
The Effect of Probiotics on Various Diseases and their Therapeutic Role: An Update Review
Authors: Hashempour-Baltork Fataneh , Sheikh Mahdieh , Eskandarzadeh Sevda , Tarlak Fatih , Tripathi Abhishek Dutt , Khosravi-Darani Kianoush , Sadanov Amankeldy
Published: July 2021

Probiotic bacteria play a critical and functional role in clinical and nutritional applications. In the present study, the ability of various probiotics and their metabolites in the prevention and treatment of different diseases, infections and disorders was reviewed. The issues that were noticed are included: Fibrocystic, diabetes, acne, colon cancer, cardiovascular, urinary tract infections, atopic eczema syndrome, food allergies and obesity. Enhancement in using drug treatment has led to the appearance of drug-resistance concern, thus probiotics can be a suitable choice. This review focuses on the effect of probiotic bacteria and their metabolites on immune-boosting, prevention and treatment of these diseases. For this purpose, after a short glance at each disease, infection and disorder, the mechanism of probiotic action and recent studies about that disease are reviewed. It could be recommended that probiotics consumption, perhaps from birth to all stages of life, would be effective in the life-long, development of health effects and disease treatments.
Amelioration of disulfonated Acid Red and hexavalent chromium phytotoxic effects on Triticum aestivum using bioremediating and plant growth-promoting Klebsiella pneumoniae SK1
Authors: Kumar Vineet , Umrao Pramila Devi , Kaistha Shilpa Deshpande
Published: July 2021

Bacterial strain identified as Klebsiella pneumoniae SK1, based on 16S rDNA sequence study, was isolated from a textile mill discharge point at Dada Nagar industrial area in Kanpur, India in media containing 100 µg/ml each of disulfonated azo dye Acid Red 249 (AR) and hexavalent chromium [Cr(VI)]. SK1 is efficient in the concomitant decolorization and reduction of 100 µg/ml toxic AR and Cr(VI) respectively in 48 h under microaerophilic conditions. The efficacy of AR decolorization was found to be preeminent in static conditions, 37°C, 2-4% salinity and 7-9 pH range. 99% decolorization for initial AR concentration of 100 µg/ml in 48 h, and 91% for 250 µg/ml and 77% for 500 µg/ml was recorded in 72 h respectively in the presence of 100 µg/ml Cr(VI). Significant reductive changes in spectroscopic absorption spectra were observed for SK1 treated AR+Cr(VI) amended media with respect to controls. FITR spectroscopy was used to ascertain the breakage of the azo dye bond and the formation of biodegradative metabolites. Additionally, SK1 was found to be positive for indole acetic acid, ammonia, phosphate and potassium solubilization and biofilm formation. In plant bioassay, in vitro SK1 treated AR+Cr(VI) TSB media was used to treat Triticum aestivum in the soil environment. In comparison to untreated control, plants treated with bioremediation media shows increased percent germination, root and shoot length with a complete reversal of phytotoxic effects of the AR+Cr(VI) treated plants. In this study, environmental K. pneumoniae SK1 shows concomitant azo dye and Cr(VI) remediation with plant growth-promoting activity.
Application of Latilactobacillus curvatus into Pickled Shrimp (Litopenaeus Vannamei)
Authors: Minh Nguyen Phuoc
Published: July 2021

Latilactobacillus curvatus has a strong carbohydrate fermentative ability and antibacterial ability. It is considered as a promising probiotic by its excellent fermentation attributes and health advantages. Pickled shrimp derived from the fermentation process is highly appreciated by its unique texture, taste and flavor. However, this product is easily decomposed by spoilage bacteria especially Staphylococcus. This research evaluated the inoculation of L. curvatus (0.1-0.5 %) and different fermentation temperatures (28-30 oC) on the reduction of Staphylococcus aureus, pH and overall acceptance of the pickled shrimp after 6 weeks of fermentation. Results showed that the fermentation process should be conducted at 29 oC with 0.3 % Latilactobacillus curvatus (at initial density 9 log cfu/ml) to reduce pH to 3.70, completely against Staphylococcus aureus, obtain the highest sensory score (8.91).
Osteomyelitis in Children from Rural Population of Uttar Pradesh
Authors: Kumar Dinesh , Mehrishi Priya , Faujdar Sameer Singh , Kumar Satish , Sharma Amisha
Published: July 2021

Occurrence of Staphylococcus aureus in children with osteomyelitis. This study was conducted at K. M. M. C. & Hospital, Mathura (UP). A total of 60 patients with osteomyelitis contributed to this study from October 2017 to October 2019. Patients with known immunodeficiency syndromes were excluded. Specimen collections were meticulously performed to avoid contamination which was accomplished by needle aspiration or surgical sampling. Staphylococcus aureus was recovered in more than half of the cases of osteomyelitis in both infants and children. Amikacin, Clindamycin and Cefazolin were effective in such cases. The distal end of the femur and upper-end tibia were the most common sites of infection where boys were more infected than girls. The haematogenous route was the main cause of the transmission of osteomyelitis in children. Principally Staphylococcus aureus causes the majority of cases of osteomyelitis in children followed by H. influenza, Group B Streptococcus, P. aeruginosa, E. coli and Serratia marcescens.
Review and Classification of Current Methods for Remote Photoplethysmography of the Face
Authors: Strokanev K S
Published: July 2021

Дистанционная фотоплетизмография позволяет измерять частоту сердечных сокращений бесконтактным способом. Подобный способ особенно полезен, когда невозможно измерить пульс методами, требующими контакта с кожей. Методом дистанционной фотоплетизмографии можно измерить и насыщение крови кислородом. Рассмотрены исследования с двумя различными подходами: изменение цвета кожи лица и движение головы. Целью исследования является классификация современных методов лицевой фотоплетизмографии. В данной статье приведен обзор и классификация исследований в области дистанционной фотоплетизмографии c 2015 по 2020 год. В ходе исследования статей выявлено, что термин «дистанционная фотоплетизмография», или «remote photopletysmography» (rPPG), встречался чаще всего и поэтому был выбран основным для описания данного вида фотоплетизмографии. Источниками информации послужили самые крупные научные социальные сети и сайты. В работе приведена краткая история и основы дистанционной фотоплетизмографии. Разработан алгоритм для классификации исследований. Изученные работы представлены в удобном виде в таблице. По представленным материалам были составлены выводы. Исследователи могут использовать рассмотренные и классифицированные алгоритмы в качестве отправной точки для улучшения разработок в области дистанционной фотоплетизмографии.
Development of an Industrial Diamond Scanning System
Authors: Palabugin M V , Usoltsev V P
Published: July 2021

Разработана система по сканированию драгоценных камней с помощью лазерного излучения. Составлена схема разработанной лазерной сканирующей установки. Проведен обзор дефектов, которые наиболее часто встречаются в кристаллах драгоценных камней и способны помочь в создании карты дефектов кристалла. Приведено описание методики, которая используется в создании паспорта изделия. Были установлены минимальные размеры объектов, которые мы сможем обнаружить с помощью данной установки. Рассчитана вероятность достоверного обнаружения дефекта в исследуемом объекте. Выявлены необходимые маркеры для установления уникальности драгоценного камня. Проведены эксперименты, где использовались полупроводниковые лазеры с длинами волн 405 и 532 нм. В результате было выяснено, что установка работает исправно и способна составлять карту дефектов прозрачных в оптической области объектов. Для повышения эффективности установки была составлена готовая база данных, в нее вошли наиболее распространенные дефекты, которые можно обнаружить в драгоценных камнях. Для удобного и быстрого поиска дефектов по базе данных была предложена иерархическая система упорядочивания дефектов. После сканирования кристалла получившиеся данные заносятся в личный паспорт изделия, что позволит в дальнейшем его идентифицировать.
Procedure for Preparing Flat Samples from Liquid Insulating Tape "Nano 4 Premium" and Studying Its Electrical Insulation Properties
Authors: Shtennikov I V , Chereshev V I , Mezentsev I S
Published: July 2021

Работа посвящена разработке методики приготовления плоских образцов из вновь разрабатываемого электроизоляционного материала - жидкой изоленты «Nano 4 Premium», исследованию ее электроизоляционных свойств и возможности применения в качестве твердеющего, полимеризующегося диэлектрика для герметизации, защиты и повышения электрической прочности микроэлектронных и электротехнических изделий. При исследованиях различных сопутствующих материалов для приготовления плоских образцов из жидкой изоленты «Nano 4 Premium» наилучшие результаты достигнуты при использовании защитной пленки клеящего слоя декоративной пленки «DEKORON». С ее применением разработана методика приготовления образцов, позволившая получить плоские, листовые образцы из жидкой изоленты «Nano 4 Premium» для исследования электроизоляционных свойств разрабатываемого изоляционного материала. Сформирован комплект приборов и оборудования для определения относительной диэлектрической проницаемости, тангенса угла диэлектрических потерь, удельных объемного и поверхностного электрического сопротивления, а также электрической прочности листовых диэлектриков согласно ГОСТ 22372-77, ГОСТ Р 50499-93, ГОСТ 6433.2-71 и ГОСТ 6433.3-71. Сформулированы условия проведения испытаний приготовленных листовых образцов жидкой изоленты «Nano 4 Premium». Приведены результаты исследования электроизоляционных свойств жидкой изоленты «Nano 4 Premium» после затвердевания. При измерениях в диапазоне частот 102-106 Гц диэлектрическая проницаемость составила 1,34-1,86, тангенс угла диэлектрических потерь 0,002-0,005. Удельное объемное и поверхностное электрическое сопротивление достигает значений не менее 2,5∙1014 Ом∙м и 8∙1015 Ом соответственно, а электрической прочности 36,5-53,0 кВ/мм. По оценке свойств жидкая изолента «Nano 4 Premium» не уступает многим основным электроизоляционным материалам и может использоваться в качестве пропиточного или заливочного изоляционного материала в производстве микроэлектронных и электротехнических изделий.
Research of the Piezo Actuator Information-Measuring System for Studying the Strength Characteristics of Filling Materials
Authors: Kirillov A I
Published: July 2021

В статье рассмотрена пьезоактюаторная информационно-измерительная система с телекоммуникационной сетью для изучения композитных пломбировочных материалов, реализующая тензометрический, акустический, оптический и электрометрический способы контроля образцов. Изложена возможность анализа прочностных характеристик образца по его диаграммам сжатия в статическом режиме и при циклических нагрузках с заданными частотой колебаний и законом воздействия в цифровом виде. Получены рекомендации, что для изучения твердых тканей зубов лучше применять последовательное расположение двух пьезоактюаторов, а не параллельное. Это связано с тем, что твердые ткани зубов имеют относительно малый модуль Юнга (в частности, у дентина 14,7 МПа). При этом максимальная генерируемая сила от двух последовательных пьезоактюаторов будет больше, чем от параллельных. Разработана электромеханическая модель процесса нагружения образца в силовой пьезоактюаторной установке, исследованы вопросы повышения точности измерения прочностных характеристик с применением пакета Micro-Сap. Создана трехмерная модель напряженно-деформируемого состояния образца в программе Ansys Mechanical, дающая возможность проводить теоретические исследования надежности соединения пломбировочных материалов с твердыми тканями зуба. Разработана методика сравнительной оценки погрешностей моделирования работы силовой установки в пакете Micro-Cap с результатами, полученными в программе Ansys Mechanical (принятыми в качестве эталона). Для реализации методики оценки в приведенных моделях одновременно менялся модуль Юнга образца от 10 до 330 ГПа.
Application of the STRESS TEST Method for Quality Control of Electrolytic Capacitors and Capacitors with a Double Electric Layer
Authors: Kuznetsov P L
Published: July 2021

В статье рассматривается проблема подтверждения длительной безотказности современного конденсаторостроения в короткие сроки, а именно, оксидно-электролитических алюминиевых конденсаторов, танталовых объемно-пористых конденсаторов и конденсаторов с двойным электрическим слоем. Особое внимание уделяется эксплуатационным параметрам конденсаторов - емкости и эквивалентному последовательному сопротивлению. Проведено исследование длительной безотказности оксидно-электролитических алюминиевых конденсаторов (3000 ч), танталовых объемно-пористых конденсаторов (24 000 ч) и конденсаторов с двойным электрическим слоем (600 ч), получены статистические данные распределения емкости и эквивалентного последовательного сопротивления. Для уменьшения времени испытаний на длительную безотказность был использован ускоренный метод испытаний на надежность стресс-теста. Анализ результатов испытаний конденсаторов на длительную безотказность и методом «Стресс-тест» показал, что применение метода «Стресс-тест» допустимо при испытании объемно-пористых танталовых конденсаторов и оксидно-электролитических алюминиевых конденсаторов, так как прослеживается аналогичный характер изменения электрических параметров, как после проведения испытаний на длительную безотказность. Однако применение метода «Стресс-тест» для конденсаторов с двойным электрическим слоем не представляется возможным в связи с отличной структурой и требует дополнительного подбора режимов проведения испытаний.
On the Choice of Algorithm for Synthesis of Elements with Fractal Impedance Based on Resistive-capacitive Elements with Distributed Parameters with the Layer Structure of the C-R-NC Type
Authors: Knyazev I V , Ushakov P A
Published: July 2021

Элементы с фрактальным импедансом (ЭФИ), имеющие дробно-степенную зависимость импеданса от частоты, могут использоваться для интегрирования дифференциальных уравнений произвольного дробного порядка, которыми чаще всего описываются реальные процессы в природе и технике. В частности, замена интеграторов и дифференциаторов в ПИД-регуляторах систем управления на интеграторы и дифференциаторы дробного порядка позволяет существенно повысить основные параметры систем управления. Однако к настоящему времени коммерческие ЭФИ, которые можно было бы изготавливать в промышленных масштабах, еще не разработаны. Наибольшим потенциалом в этом смысле обладают ЭФИ, построенные на основе многослойных резистивно-емкостных элементов с распределенными параметрами (RC-ЭРП). Один из конструктивных вариантов такого типа ЭФИ со структурой слоев вида R-C-NR изготовлен в виде опытных экземпляров. Но при его изготовлении и испытаниях выявились недостатки, которые могут препятствовать его использованию в проектируемых изделиях. В работе предлагается создавать ЭФИ на основе RC-ЭРП, но со структурой слоев вида C-R-NC, в которых, как предполагается, можно избежать недостатков, отмеченных в ЭФИ со структурой слоев вида R-C-NR. Однако для решения этой задачи требуется выбрать алгоритм синтеза конструкции нового вида ЭФИ, который бы позволял создавать ЭФИ с параметрами не хуже, чем у существующего ЭФИ со структурой слоев вида R-C-NR. С этой целью разработаны и протестированы три программы синтеза, формирующие модели ЭФИ из комбинации двух R-C-NR-линий, используемых в качестве математических моделей RC-ЭРП: синтез на основе алгоритма простого перебора (ПП) вариантов для поиска варианта, обеспечивающего требуемые характеристики ЭФИ; синтез на основе метода роя частиц (МРЧ) и синтез на основе генетического алгоритма (ГА). Результаты исследования показали, что алгоритм ПП для синтеза ЭФИ на основе комбинации из трех и более R-C-NR-линий нецелесообразен из-за громадного количества объектов перебора (порядка 107), а МРЧ недостаточно эффективен для оптимизации дискретной целевой функции. В наибольшей степени отвечает характеру синтезируемого объекта алгоритм синтеза ЭФИ, использующий ГА, как не имеющий ограничений на вид целевой функции, опробованный при решении задач оптимизации в аналогичной предметной области в пространстве большой размерности.
Numerical Modeling of the Real Van Der Waals Gas Flow in the Shock Tube
Authors: Tenenev V A , Koroleva M R
Published: July 2021

В работе проводится математическое моделирование течения реального газа в ударной трубе. Численное решение задачи выполняется на основе метода С. К. Годунова с использованием уравнения состояния Ван-дер-Ваальса. Газодинамические процессы исследуются как в областях классического поведения газа, так и в неклассической области, в которой фундаментальная производная отрицательна. Проведенные расчеты для случаев формирования в идеальном газе двух волн разрежения, двух ударных волн, а также ударной волны и волны разрежения одновременно показали хорошее соответствие результатов аналогичным расчетам и известным теоретическим данным. Для случая неклассического поведения газа исследовалось вещество с большой удельной теплоемкостью по отношению к ее молекулярной массе вблизи критической точки кривой насыщения. Рассматривались три варианта начальных состояний газа, в процессе развития течения в которых формировались области неклассического поведения вещества. Во всех исследуемых вариантах в газе формируется ударная волна, распространяющаяся в сторону меньшего значения давления и волны разрежения, двигающиеся в сторону большего давления в газе. Показано, что в неклассической области течения ударная волна сглаживается, в то время как волны разрежения при отрицательных значениях фундаментальной производной формируют скачок разрежения, и крутизна кривых параметров течения возрастает.
IOT Based Self Vehicle Pollution Checking, Engine Temperature and Fuel Levels with Prediction Alerts
Authors: Kumar G. Naveen
Published: July 2021

Pollution detection and ordinary tracking is extraordinarily good-sized errand in this point in time of in our present international. To make a higher and greater steady circumstance for individual, creatures, and plants. We ought to display screen and manage the infection via the Internet of factors innovation. This research proposes air infection and checking version which distinguishes infection in air primarily based totally on statistics mining calculation. The sensor System is used to apprehend the sensor regards from one of a kind fueloline sensors. The microcontroller is applied to trade the features from ADC to server. Information mining is applied to compute the pollution from numerous regions. ID3 set of rules is used to figuring the bottom of the traits on probability. Bluetooth module is applied to interface the controller with the purchaser and the purchaser related to the server via internet administrations. Remote sensors are applied to envision the extent of risky gases gives major all-round that, at last, offers a lower in infection. This framework now no longer simply computes the poisons gift major all-round yet, in addition, we are able to parent to preserve a strategic distance from destiny infection in and might ship the notification message to the particular dirtied location. Here we recall essentially the concoction Industry near Delhi and the metro city groups.These studies paper in particular centered at the evidence of pollutants tracking and locate on precise region or geographical area for an IOT bodily devices that collects statistics with admire to bodily parameters, making use of a complicated microcontroller stage, from one of a kind varieties of sensors, via various techniques of correspondence and after that transfers the statistics to the an internet. The displayed device has been supposed for far flung checking of weather numerous environments. These article facilities across the approach of moving received statistics at the internet with the intention that the device may be applied to remotely display screen weather parameters and in the end take a look at environmental extrade designs like temperature, humidity, Atmospheric Pressure. The paper additionally discusses the simple idea of Internet of Things and its capacity programs, specially for climate tracking.
Music Genre Classification using Deep Learning
Authors: Fathima Sheeba
Published: July 2021

Many subjects are affected by digital music production., including music genre prediction. Machine learning techniques were used to classify music genres in this research. Deep neural networks (DNN) have recently been demonstrated to be effective in a variety of classification tasks. Including music genre classification. In this paper, we propose two methods for boosting music genre classification with convolutional neural networks: 1) using a process inspired by residual learning to combine peak- and average pooling to provide more statistical information to higher level neural networks; and 2) To bypass one or more layers, use shortcut connections. To perform classification, the KNN output is fed into another deep neural network. Our preliminary experimental results on the GTZAN data set show that the above two methods, especially the second one, can effectively improve classification accuracy when compared to two different network topologies.
Design and Analysis of Motor Cycle Helmet for Improved Safety
Authors: Biju Abhinav
Published: July 2021

Road accidents are one of the most common and unavoidable problems in our society which costs our precious lives. Helmets of poor quality only give the lack of security, so helmets with more improvised design become the priority for two-wheelers. Our paper aims to design and prototype safety helmets for motorcycles with innovative design, which facilitates the user to wear it more comfortably. In addition to that, we analyze the improved design and optimize it. As safety is the primary criterion for the customers, we aim to produce the helmets by additive manufacturing with a customized design enabling ventilation, lightweight and increased stiffness. Additive manufacturing helps to fabricate complex designs with a combination of different materials. We will incorporate a mechanism that does not allow the two-wheeler to unlock unless the rider has a helmet. The outer casing would be durable and protect the user against impact. We have also planned to integrate the technology, which gives SOS signals to the nearby hospitals when the vehicle undergoes an accident. This is done by incorporating accelerometers in the helmet, so once the value reaches a certain limit, the emergency message is sent. By conventional manufacturing technologies, making customized helmet is very difficult. But, on the other hand, additive manufacturing facilitates fabricating complex design, which can have integrated sensors for safety purposes. Impact test analysis and airflow analysis will be performed on the helmet to validate the design. Therefore, in this paper, we are going to design and analyze the helmet with improved safety. Keywords: Helmet, motorcycle, optimization, safety, Fusion 360, Ansys, Arduino, 3D printing.
Sentiment Analysis of Customer Product Reviews using deep Learning and Compare with other Machine Learning Techniques
Authors: Purohit Amit
Published: July 2021

Sentiment analysis is defined as the process of mining of data, view, review or sentence to Predict the emotion of the sentence through natural language processing (NLP) or Machine Learning Techniques. The sentiment analysis involve classification of text into three phase “Positive”, “Negative” or “Neutral”. The process of finding user Opinion about the topic or Product or problem is called as opinion mining. Analyzing the emotions from the extracted Opinions are defined as Sentiment Analysis. The goal of opinion mining and Sentiment Analysis is to make computer able to recognize and express emotion. Using social media, E-commerce website, movies reviews such as Face book, twitter, Amazon, Flipkart etc. user share their views, feelings in a convenient way. Sentiment analysis in a machine learning approach in which machines classify and analyze the human’s sentiments, emotions, opinions etc. about the products. Out of the various classification models, Naïve Bayes, Support Vector Machine (SVM) and Decision Tree are used maximum times for the product analysis. The proposed approach will do better result as compare to other machine learning techniques.
Precision Agriculture using IOT
Authors: Rama Mr. V. Seetha
Published: July 2021

Automation of farm activities can transform agricultural domain from being manual and static to intelligent and dynamic leading to higher production with lesser human supervision. This paper proposes an automated irrigation system which monitors and maintains the desired soil moisture content via automatic watering. Microcontroller ATMEGA328P on Arduino Uno platform is used to implement the control unit. The setup uses soil moisture sensors which measure the exact moisture level in soil. This value enables the system to use appropriate quantity of water which avoids over/under irrigation. IOT is used to keep the farmers updated about the status of sprinklers. Information from the sensors is regularly updated on a webpage using GSM-GPRS SIM900A modem through which a farmer can check whether the water sprinklers are ON/OFF at any given time. Also, the sensor readings are transmitted to a Thing speak channel to generate graphs for analysis.
Assessment of Pradhan Mantri Gram Sadak Yojana
Authors: Garkar Prathamesh
Published: July 2021

In India, Rural Road Connectivity, has been appreciated as a key component of Rural Development, which promotes access to economic and social services and generates increased agricultural incomes as well as strengthens rural livelihoods. In this context, Pradhan Mantri Gram Sadak Yojana (PMGSY), was launched in December, 2000 as a special intervention of the Government of India with the broad objective of ensuring sustainable poverty reduction. The scheme aims to provide good quality all-weather single connectivity to every eligible habitation. Rural roads are a state subject under the Constitution and as such are the basic responsibility of the states. However under the PMGSY, the construction of good quality and well-engineered roads are fully funded by the Government of India. Maintenance of these roads is the responsibility of the states. The year 2013 saw the launch of PMGSY-II with the objectives of consolidating the existing rural road network and upgrading existing rural roads that provide connectivity to rural growth centres. PMGSY-II envisages sharing of construction costs between the Centre and the states with maintenance costs continuing to be funded fully by the states.
Verification of Wishbone Bus Interface for SoC using System Verilog and UVM
Authors: D. R Pooja.
Published: July 2021

The Verification phase carries important role in design cycle of a system on chip. Verification gives with the actual enactment and functionality of a DUT and to verify the design meets the system requirements. This paper present wishbone bus interface for soc integration to interconnect architecture for portable IP cores and test bench is developed in system Verilog and verification is done by both system Verilog verification methodology and universal verification methodology which includes scoreboard, functional coverage and assertion. This paper based on two application to integrate IP cores that is single master with single slave interconnection and single master with multiple slave interconnections where master is test bench and slave will be a core.
COVID-19 Social Distance Violation and Face Mask Detection in Workplaces
Authors: Kulkarni Gurudatt P
Published: July 2021

Social distancing is a suggested arrangement by the World Health Organization (WHO) to limit the spread of COVID-19 in broad daylight places. Most of governments and public wellbeing specialists have set the 2-meter physical removing as a compulsory security measure in retail outlets, schools, and other covered regions. In this exploration, we foster a conventional Deep Neural Network-Based model for mechanized individuals’ identification, following, and between individuals’ distances assessment in the group, utilizing basic CCTV surveillance cameras. The proposed model incorporates a YOLOv4-based system and opposite viewpoint planning for exact individuals’ identification and social removing checking in testing conditions, including individual’s impediment, incomplete perceivability, and lighting varieties. We additionally give an online danger appraisal conspire by factual examination of the Spatio-transient information from the moving directions and the pace of social removing infringement. We distinguish high-hazard zones with the most noteworthy chance of infection spread and diseases. This may assist specialists with updating the design of a public spot or to play it safe activities to relieve high-hazard zones. The effectiveness of the proposed approach is assessed on the Oxford Town Center dataset, with prevalent execution as far as precision and speed contrasted with three bests in class techniques.
Enhancing Tools for Sustainable Health Communication within Covid-19
Authors: Maštálka Jiří
Published: July 2021

The paper provides short commentary on key features of public health communication during the current pandemic. The paper contains empirical analysis of field data from international, regional, and local national sources related to the industry, institutions, research in the field of study. The thematic content analysis through the computer-based coding served as the background investigation method. The study provides preliminary data on the key topics within official communication on health care issues during COVID-19, explores challenges to communication on health issues during COVID-19, identifies possible tools for sustainable health communication in the current COVID-19 pandemic, and outlines tentative recommendations to foster sustainable communication on health issues during the pandemic.
Singular limit of Lam\’{e} equations
Authors: QIN Zengyun
Published: July 2021

In this paper, we study the asymptotic behavior of the solution to the
Lam\’{e} equations with a parameter
$\var$. We prove that the solution will converge to the
solution of a Maxwell type equations as
$\var\rightarrow0$; Meanwhile we will
show that the solution converges to the solution of a Stokes type
equations as
$\var\rightarrow\infty$.