bluuebunny/crossref_metadata_2025 huggingface dataset:
Specificity and Sensitivity of Lung Ultrasound Examination in Patients with COVID-19 Induced Pneumonia
Authors: Lakhin R. E. , Zhirnova E. A. , Shchegolev A. V. , Zheleznyak I. S. , Menkov I. A. , Chugunov A. A.
Published: July 2022

The coronavirus infection (COVID-19) is characterized by a high incidence of pneumonia. Extensive damage, high mortality associated with COVID-19 make the rapid bedside diagnosis and dynamic monitoring of the volume and nature of lung tissue damage a challenge. Lung ultrasound examination can be used as a tool to answer it.

The objective: to compare the signs detected by lung computed tomography and ultrasound and to assess the sensitivity and specificity of ultrasound in the diagnosis of pneumonia induced by COVID-19.

Subjects and Methods. The observational prospective clinical study included 388 patients aged 18–75 years old; they had a confirmed diagnosis of pneumonia caused by COVID-19 or suspected COVID-19. Lung ultrasound was performed within 24 hours after computed tomography (CT) of the chest organs. During CT, pathological signs, infiltration and consolidation of the lungs were visualized which were documented by lung segments. Lung ultrasound was performed according to the Russian Protocol, ultrasound signs of B-lines and consolidation were also documented based on the projection of lung segments on the chest wall. The distributions of variables was analyzed, described and summarized. The sensitivity and specificity of ultrasound methods were evaluated on the basis of ROC analysis according to CT gold standard.

Results. Bilateral involvement was found in 100% of cases. Typical CT signs of pneumonia caused by coronavirus infection were ground-glass opacity of the pulmonary parenchyma, thickened pleura, consolidation, interstitium, reticular induration, and cobblestone appearance. With ultrasound examination of the lungs and pleura, the detected signs corresponded to CT signs. B lines (multifocal, discrete or merging) and consolidation of various volumes of lung tissue were most common during ultrasound. The sign of consolidation was detected less frequently versus infiltration (p < 0.001). The sensitivity of lung ultrasound in the diagnosis of lung lesions was 95.3%, and the specificity was 85.4%, the area under the curve was 0.976 with a confidence interval of 0.961–0.991 (p < 0.001).

Conclusion. The use of lung ultrasound during the COVID-19 pandemic makes it possible to identify, assess the volume and nature of lung damage. Lung ultrasound demonstrated accuracy comparable to CT of the chest organs in detecting pneumonia in patients with COVID-19.
HUMAN RESOURCES DEVELOPMENT AT MADRASAH ALIYAH WAY KANAN REGENCY
Authors:   Post-Graduate Program of Islamic Education Management Study Program, Raden Intan State Islamic University of Lampung, Indonesia., Abrori Muhammad , Jamaluddin Wan ,   Post-Graduate Program of Islamic Education Management Study Program, Raden Intan State Islamic University of Lampung, Indonesia., a Subandi ,   Post-Graduate Program of Islamic Education Management Study Program, Raden Intan State Islamic University of Lampung, Indonesia., Akmansyah Muhammad ,   Post-Graduate Program of Islamic Education Management Study Program, Raden Intan State Islamic University of Lampung, Indonesia.
Published: July 2022

The main objective of this research is to develop human resources at Madrasah Aliyah in Way Kanan Regency. This research is a type of descriptive research using a qualitative approach. The results of the study found that 1) the development of human resources through education, 2) the development of human resources through training, 3) the development of human resources through lesson study, (4) the development of human resources through work motivation, (5) the development of human resources through incentives, 6) human resource development through promotion, and 7) human resource development through transfers. The conclusion from the results of this study is that the development of human resources at Madrasah Aliyah in Way Kanan Regency still needs to be improved, especially through education, training, providing incentives, promotions and transfers.
ENSEÑAR POR LA ACCIÓN. EL PROGRAMA EDUCATIVO RURAL POSREVOLUCIONARIO MEXICANO (1921-1934). PRINCIPIOS FILOSÓFICO-PEDAGÓGICOS
Authors: Meza Mejía Mónica del Carmen
Published: July 2022

La Secretaría de Educación Pública (SEP), creada en el gobierno de Álvaro Obregón (1920-1924) buscó, mediante diferentes proyectos culturales, institucionalizar los valores revolucionarios y formar una identidad nacional a partir de ella. En el ámbito de la educación, sedesarrolló el proyecto educativo que sintetizó lo rural y lo indígena con los ideales revolucionarios. Este escrito parte del supuesto de que, entre 1921 y 1934, tanto la educación rural y su institución educativa, como la Escuela Rural Mexicana, recibieron el influjo del movimiento de renovación pedagógica y de la enseñanza por la acción, de John Dewey. Rafael Ramírez Castañeda quien, en un viaje a Estados Unidos de América en 1924, conoció las corrientes educativas en boga en el vecino país; posteriormente, al ser nombrado director de las escuelas rurales en 1928, proyectó el mejoramiento colectivo de la vida rural en lo socioeconómico y lo educativo, retomando la experiencia estadounidense de la enseñanza por la acción. Es así cómo, con este trabajo, se pretende mostrar el paralelismo implícito subyacente en el programa de educación rural, propuesto por Ramírez, con los principios filosófico-pedagógicos de Dewey. El desarrollo argumentativo, se hará comparando los textos ambos autores.
Sustainability and diversity in the architecture of intercultural universities in Mexico
Authors: Dalia Peña , Peri Mesquida
Published: July 2022

Intercultural universities in Mexico have been created since 2001, currently there are 12, the last one to be created is the Intercultural University of Baja California in San Quintin. These universities are governed by an intercultural model that states that they must incorporate linguistic expressions and manifestations and knowledge of indigenous peoples in their substantive functions as well as in their scientific activity, but some of them have also incorporated cultural and sustainable expressions in their architecture. In this sense, there are experiences of these universities that incorporate different cultural and sustainable elements in their architecture. Based on the above, this study presents some experiences of Intercultural Universities in Mexico that recover cultural and sustainable elements in their architecture. Methodologically, we resorted to reflexive ethnography by conducting several interviews with the architect of the UICEH. Some of the results obtained in the research show the importance of how, through the architectural spaces, elements of interculturality and sustainability are embodied, including some related to local cultures where the Universities have an impact.
Research and application of climate-responsive design of traditional vernacular houses in Chaoshan, China
Authors: Li Jinglei , Wu Zhaoji , Zhang Yufeng
Published: July 2022

Chaoshan vernacular house is an important branch of Lingnan traditional houses in South China, with a long architectural history and excellent climate responsiveness to the hot-humid climate. The modern rural houses learn the traditional experiences mainly in the form but fail to inherit the climate-responsive design and wisdom of the traditional houses. This study took the widely distributed Xiashanhu houses in Chaoshan as the object, generated 128 Xishanhu parametric models by combinations of various parameters on design factors of building, opening, shading, construction, and street layout, and investigated the climate-responsive design techniques by using the parametric methods. The results show that the hall width, room width, cornice height, orientation, and wall construction are the key climate-responsive design factors oriented towards thermal performance of Xiashanhu houses. The optimized designs are: the smaller hall width (4.05m，4.32m，4.59m), the smaller room width (2.7m，2.97m，3.24m), the larger cornice height (4.92m，5.1m), the orientation ranged from 30° north by west to 30° north by east, and the brick and concrete wall. The rationality and validity were verified by applying the optimized climate-responsive designs to the re-construction of a new rural house. Compared to the original case, the thermal performance is significantly improved by 5.18-9.98%. A detailed discussion was also provided on considering the actual situation and needs of the modern buildings in the process of "using the past for the present." This study is believed to provide valuable references for the research and modern applications of climate-responsive designs of traditional vernacular houses. It also contributes to the preservation of architectural and cultural regional characters and the inheritance of architectural climate responsiveness in contemporary times.
Optimal profitable applications for web development companies using a linear programming approach
Authors:   Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia, Abdullah Khalid K. A. , Rasheed Saim ,   Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
Published: July 2022

The consumed resources in web development companies are different and greatly affect a company’s profit or loss extent. We will utilize linear programming to measure that and maximize the company’s profit. Furthermore, we will apply the simplex method algorithm within certain constraints placed on different components of the company's different products. This problem can be solved with a trial and error approach but this requires great effort and time, which is a challenging thing to do on each product. We can employ different computer tools that calculate and solve these problems. Microsoft Excel is one of these tools that solve linear programming equations and provides accurate outputs; there are plugins such as (Solver) that work in integration with Excel. This paper’s main goal and purpose are to calculate and acquire the ideal products that maximize the company's profit under certain constraints. The best distribution and optimal use of resources to increase profit while maintaining quality and quantification of each project type with imposed restrictions and steps that the company must take to stop and reduce excess and unused resources. The simplex method algorithm is used because it is faster than other algorithms in solving linear programming problems, and it has high efficiency in reducing the needed resources for computer processing. On the other hand, the limitations of this algorithm manifested in its dependence on variables will increase the complexity of the problem, and this cannot be implemented accurately in all cases of linear programming problems.
Not all Blue-Spaces are Created Equal: Variables affecting restorative outcome of indoor blue-spaces-A scoping review
Authors: Zaino Ammar Ayman , Rasiya Aisha , Banaei Maryam , Abdullah Jamalunlaili , Abbas Mohamed Yusoff , Hassan Azman
Published: July 2022

The Blue-space theory suggests using water in architecture for restoration and stress reduction. Long-term stress increases the risk of mental health problems of anxiety and depression. However, not all blue spaces have the same restorative effects. This study aims to investigate the characteristic variables of restorative blue spaces through a scoping review. Papers indexed in Scopus, WoS, and Google Scholar were sought. Preferred Reporting Items for Systematic Reviews were used as a review methodology. Results showed 12 variables affecting the blue space’s restorative outcome. Direct variables; size, type, colour, clarity, texture, and indirect variables; proportion, function, illumination, and geometry.
Keywords: Blue space; Mental health; Emotions; Healing spaces
eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/ebpj.v7i20.2262
The Essential Characteristics of Knowledge Transfer Program: A review
Authors: Ahmad Saidah Hamizah , Abu Hasan Norraidah , Muthokhir Abdul Rauf , Pierewan Adi Cilik
Published: July 2022

Over the year, the collaboration among universities, industries, and communities has increased, which is a fundamental pillar for a successful knowledge transfer programme (KTP). The platform provides the exchange of ideas and information among them, such as skills, knowledge, experience, and others. However, there is a lack of studies to examine the essential characteristics of KTP. Hence, the article conducted a systematic literature review on Malaysia’s KTP characteristics. This study employed ROSES as a review protocol. The study’s thematic analysis found five themes.
Keywords: Community; Industry; Knowledge Transfer Programme; University
eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/ebpj.v7i20.3345
MyARTS: Towards enhancing users’ knowledge and understanding of articles
Authors: Tengku Paris Tengku Nazatul Shima , Mohamed Hamdan Hanani , Idris Khamizatul Baizura , Mat Pardi Khalid , Ahmad Sidiki Ahmad Firdaos Syauqi , Ling Lo Mun
Published: July 2022

MyARTS, an interactive grammar mobile game is exclusively designed according to the Theory of Variation (ToV). The game provides a variety of exercises to expose learners to different aspects of learning. The study is to examine the elements that support the design of the questions in the digital game.  A qualitative content analysis was used in illuminating the elements from the theory that support the game and quantitative pre-and post-tests to see the impact of the game on learners. The features in the ToV guiding the game's tasks help learners to discern and remember the usage of articles.
Keywords: The Theory of Variation; Grammar; Interactive; Mobile-Assisted Language Learning
eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by E-International Publishing House, Ltd., UK. This is an open-access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/ebpj.v7i20.3430
University Administrators Retention: The Moderating roles of organisational justice and generational diversity
Authors: Harun Shariff , Ahmad Ibrahim
Published: July 2022

Despite its wide acceptance as a theoretically important element in an organisation, organisational justice and generational diversity are neglected research areas, especially within the higher learning institutions context. Thus, this study intends to fill the knowledge gap by investigating the moderating roles of both variables towards the Malaysian Private Universities HRM practices and the administrator's retention. Two hundred seventy-two university administrators took part in the study, and empirically, the results obtained indicated that training, performance appraisal, selection, justice - management practices and distributive justice – reward are influential determinants of university administrators' retention.  
Keywords: Organisational Justice; Generational Diversity; HRM Practices; University Administrators Retention
eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/ebpj.v7i20.3451
The Study of Place Identity of Fishermen Water Vilage in Malaysia
Authors: Rosli Nur Liyana , Hanapi Nurul Liyana , Tajul Hasnan Mohd Tajul Izrin , Valizadeh Amirhosein
Published: July 2022

Identifying the critical elements in fisherman's village is vital as the identity of the place is slowly dying due to the rapid coastal development. The research objectives were to understand elements of cultural identity and characteristics of water village culture, to identify the cultural identity and characteristics of the water village in Malaysia, and to evaluate typical culture water village activities in Malaysia. A comparative study is conducted to determine the main element that signifies the fisherman village in Malaysia to guide and retain the future identity of fishers in Malaysia.
Keywords: fishermen water village, sense of place, cultural identity
eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: ttps://doi.org/10.21834/ebpj.v7i20.3507
A clinical case of arrhythmogenic right ventricular dysplasia (ADP)
Authors: Tarlovskaya E. I. , Solovyova E. V. , Popova N. A. , Vlasova T. V. , Gorbunova M. L. , Idabaeva N. V. , Pochukalina Yu. A.
Published: July 2022

The diﬃculties of diagnosis and management of patients with alcohol-induced heart lesions, features of the clinic of alcoholic cardiomyopathy are highlighted. Excessive and prolonged alcohol consumption increases the risk of developing acute and chronic heart failure, cardiac arrhythmias and aggravates existing cardiovascular diseases. At the same time, due to insuﬃcient assessment of the origin of cardiac manifestations (patients often hide or downplay the fact of alcohol abuse), patients do not always receive speciﬁc treatment. The management of such patients presents signiﬁcant diﬃculties, taking into account, among other things, the defeat of the gastrointestinal tract, central and peripheral nervous system and should be carried out jointly with doctors of other specialties.
Hyperuricemia as a predictor of non-alcoholic fatty liver disease
Authors: Statsenko M. E. , Turkina S. V. , Ustinova M. N. , Tumarenko A. V. , Sviridenko O. Yu. , Sviridenko A. O.
Published: July 2022

Non-alcoholic fatty liver disease (NAFLD) is currently a widespread disease among the adult population and, being a component of the metabolic syndrome (MS), is often associated with obesity, insulin resistance (IR), type 2 diabetes mellitus (DM2), cardiovascular diseases (CVD). Many authors in scientiﬁc studies have found that hyperuricemia (HU) can be considered as a predictor of non-alcoholic fatty liver disease (NAFLD), as well as other diseases associated with metabolic syndrome (MS).
Pain, nsaids, and chronic kidney disease: a diﬃcult relationship
Authors: Rebrov A. P.
Published: July 2022

The article presents data on the incidence of pain in patients with chronic kidney disease of various stages, the main causes of acute and chronic pain, the frequency of use of non-steroidal anti-inﬂammatory drugs (NSAIDs) by patients for pain relief. The article discusses the possible risks of an adverse eﬀect of NSAIDs on kidney health. Unfortunately, often patients do not know about their CKD and take NSAIDs on their own, and doctors underestimate the condition of the kidneys when prescribing drugs to relieve pain.
Evaluation of the impact of asymptomatic supraventricular arrhythmias on the incidence of serious adverse events in patients on chronic hemodialysis
Authors: Lihachev-Mishchenko O. V. , Garina I. A. , Haisheva L. A. , Shlyk S. V.
Published: July 2022

Objective: To assess the relationship of arrhythmic events such as supraventricular arrhythmias and asymptomatic arrhythmias and their long-term association with adverse events among patients undergoing chronic hemodialysis.

Materials and methods: a study was conducted involving 87 patients undergoing chronic hemodialysis with a 10-year follow-up period. At the inclusion stage, sinus rhythm was registered in all patients. A total of 87 patients (47 men and 40 women; mean age 56.3±16.1 years) took part. All patients underwent Holter monitoring (HM) of the ECG after each hemodialysis procedure, 6 times in a row, and the indicators obtained during the echocardiographic study were also evaluated.

Results: after evaluating the results obtained and statistically processing the data, it was found that 71.2% of patients had arterial hypertension, 30.6% had type 2 diabetes mellitus. During HM, supraventricular arrhythmias were detected in 43 patients (49.4%); these arrhythmias were short-term, asymptomatic and stopped on their own. Age (hazard ratio [HR], 1.07 per year; 95% conﬁdence interval [95% CI], 1.02 to 1.09) and right atrial enlargement (hazard ratio [HR] 4.31; 95 % CI 1.33 to 14.12), which showed a direct association with supraventricular arrhythmia in multivariate analysis. During 48 months, 67 patients died, the main cause of death of which was cardiovascular disease (58.4%). In the Cox model, the variables associated with all-cause mortality were C-reactive protein (RR, 1.03 per 1 mg/l; 95% conﬁdence interval from 1.00 to 1.08), age (RR, 1.07 per year; 95% CI, 1.00 to 1.08), supraventricular arrhythmias (RR 3.42; 95% CI, 1.34 to 7.91). Patients with supraventricular arrhythmia had a signiﬁcantly higher risk of non-fatal cardiovascular events (hazard ratio, 4.41; 95% conﬁdence interval, 2.18–8.89).

Conclusion: a direct relationship has been demonstrated between the presence of supraventricular arrhythmias during chronic hemodialysis and symptomatic AF, which will develop in these patients in the future. The main aggravating factors associated with mortality in patients on dialysis were supraventricular arrhythmias, advanced age, and elevated C-reactive protein.
State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review
Authors: Petmezas Georgios , Stefanopoulos Leandros , Kilintzis Vassilis , Tzavelis Andreas , Rogers John A , Katsaggelos Aggelos K , Maglaveras Nicos
Published: July 2022

Background

Electrocardiogram (ECG) is one of the most common noninvasive diagnostic tools that can provide useful information regarding a patient’s health status. Deep learning (DL) is an area of intense exploration that leads the way in most attempts to create powerful diagnostic models based on physiological signals.

Objective

This study aimed to provide a systematic review of DL methods applied to ECG data for various clinical applications.

Methods

The PubMed search engine was systematically searched by combining “deep learning” and keywords such as “ecg,” “ekg,” “electrocardiogram,” “electrocardiography,” and “electrocardiology.” Irrelevant articles were excluded from the study after screening titles and abstracts, and the remaining articles were further reviewed. The reasons for article exclusion were manuscripts written in any language other than English, absence of ECG data or DL methods involved in the study, and absence of a quantitative evaluation of the proposed approaches.

Results

We identified 230 relevant articles published between January 2020 and December 2021 and grouped them into 6 distinct medical applications, namely, blood pressure estimation, cardiovascular disease diagnosis, ECG analysis, biometric recognition, sleep analysis, and other clinical analyses. We provide a complete account of the state-of-the-art DL strategies per the field of application, as well as major ECG data sources. We also present open research problems, such as the lack of attempts to address the issue of blood pressure variability in training data sets, and point out potential gaps in the design and implementation of DL models.

Conclusions

We expect that this review will provide insights into state-of-the-art DL methods applied to ECG data and point to future directions for research on DL to create robust models that can assist medical experts in clinical decision-making.
ИМПУЛЬСНЫЙ НЕЙРОСЕТЕВОЙ КЛАССИФИКАТОР ИЗОБРАЖЕНИЙ НА ОСНОВЕ МЕМРИСТОРОВ
Authors: Суражевский И.А. , Некируй К.Э. , Емельянов А.В. , Рыльков В.В. , Демин В.А.
Published: July 2022

На примере импульсной нейросети в архитектуре «четыре входных нейрона - два выходных нейрона - два тормозных нейрона с мемристивными синаптическими связями» показана важная роль ингибирующих связей для реализации обучения с учителем на аппаратном уровне при решении задачи классификации простых графических образов.
ПРИМЕНЕНИЕ МАШИННОГО ЗРЕНИЯ И МЕТОДОВ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В РОБОТИЗИРОВАННОЙ СИСТЕМЕ УХОДА ЗА РАСТЕНИЯМИ
Authors: Кирьянов А.А. , Беневоленский С.Б. , Бельченко И.К.
Published: July 2022

Представлены результаты разработки интеллектуальной системы роботизированного агротехнического комплекса, предназначенного для сбора и анализа данных почвенного покрова, заболеваний выращиваемых культур и прогресса их вегетации, внесения удобрений и удаления сорняков. Показаны особенности алгоритмических решений и разработанного программного обеспечения и приведены достоинства системы.
ШИРОКОПОЛОСНЫЕ НЕЙРОМОРФНЫЕ ФОТОСЕНСОРЫ НА ОСНОВЕ ФОТОМЕМРИСТИВНЫХ НИЗКОРАЗМЕРНЫХ КРИСТАЛЛОВ И ВАНДЕРВААЛЬСОВЫХ ГЕТЕРОСТРУКТУР
Authors: Панин Г.Н.
Published: July 2022

Рассмотрены фотомемристорные и фотосенсорные структуры из нульмерных и двумерных материалов, таких как графен, оксид графена, дисульфид молибдена и оксиселенид, для создания нейроморфных фотосенсоров, чувствительных в широком диапазоне электромагнитного излучения.
НАНОРАЗМЕРНЫЕ МУЛЬТИФЕРРОИКИ ДЛЯ ПРИМЕНЕНИЯ В МАГНОННОЙ НЕЙРОМОРФНОЙ АРХИТЕКТУРЕ
Authors: Морозова М.А. , Матвеев О.В. , Романенко Д.В. , Медников А.М.
Published: July 2022

Теоретически и экспериментально исследованы спектры спиновых волн в композитных структурах на основе магнонных кристаллов и сегнетоэлектриков нанометровой толщины. Предложена концепция использования таких структур в качестве логических блоков для устройств на базе магнонной нейроморфной архитектуры.
ИССЛЕДОВАНИЕ МЕМРИСТИВНЫХ ПЛАНАРНЫХ СТРУКТУР НА ОСНОВЕ ЛЕГИРОВАННЫХ МАНГАНИТОВ
Authors: Тулина Н.А. , Рассоленко А.Н. , Шмытько И.М. , Иванов А.А. , Зотов А.В. , Сироткин В.В. , Борисенко И.Ю. , Тулин В.А.
Published: July 2022

Экспериментально и методом численного моделирования исследованы механизмы физико-химических процессов на интерфейсах металл / легированный манганит La1-xSrxMnO3-δ, определяющие мемристивные свойства структур на их основе.
МЕМРИСТИВНЫЕ ПЕРЕКЛЮЧЕНИЯ В МИКРОСТРУКТУРАХ НА ОСНОВЕ СЕЛЕНИДА ВИСМУТА
Authors: Зотов А.В. , Ильин А.И. , Трофимов О.В. , Волков В.Т. , Тулин В.А.
Published: July 2022

Методом электронной литографии к чешуйкам Bi2Se3, перенесенным скотчем на подложку SiO2, созданы образцы, в которых исследованы процессы резистивных переключений и возможность управления многоуровневыми мемристивными состояниями.
КОНТЕНТНО-АДРЕСУЕМАЯ ПАМЯТЬ НА ОСНОВЕ ДВУХЗАТВОРНЫХ СЕГНЕТОЭЛЕКТРИЧЕСКИХ ТРАНЗИСТОРОВ
Authors: Тарков М.С. , Попов В.П. , Леушин А.Н. , Тихоненко Ф.В.
Published: July 2022

Разработаны компактные модели 2G FeFET-транзисторов с многодоменным переключением сегнетоэлектриков. Модели применялись для эмуляции работы контентно-адресуемой памяти (КАП) в форме кроссбара. Моделирование предложенной реализации КАП подтвердило ее работоспособность.
ЭЛЕМЕНТНАЯ БАЗА ВЫСОКОТЕМПЕРАТУРНОЙ КВАНТОВОЙ СЕНСОРИКИ И ФОТОНИКИ НА ОСНОВЕ АТОМОПОДОБНЫХ КВАНТОВЫХ СИСТЕМ
Authors: Анисимов А.Н. , Бреев И.Д. , Баранов П.Г.
Published: July 2022

Для создания высокотемпературного квантового компьютера на основе атомноподобных квантовых систем необходимо исследовать их свойства. Одна из таких систем - это вакансионные центры окраски в карбиде кремния (V-центры в SiC со спином 3/2). Эти центры обладают выдающимися свойствами, которые позволяют адресно обращаться к одиночному центру и контролировать его квантовое состояние за счет длинных времен релаксации при комнатной температуре. Эти центры уже зарекомендовали себя как высокотемпературные сенсоры магнитных полей и квантовые излучатели в области ближнего ИК-спектра.
ВЫСОКОЭФФЕКТИВНЫЙ КВАНТОВЫЙ ТРАНЗИСТОР С СИСТЕМОЙ ЗАГРУЗКИ СОСТОЯНИЙ И ПАМЯТЬЮ В ИНТЕГРАЛЬНОЙ СХЕМЕ
Authors: Харламова Ю.А. , Арсланов Н.М. , Чернявский А.Ю. , Моисеев С.А.
Published: July 2022

Предлагается высокоэффективная интегральная схема квантового транзистора, представляющего собой атомнофотонную молекулу в виде линейной цепочки из трех микрорезонаторов, каждый из которых содержит один резонансный трехуровневый атом и подключен к волноводам для загрузки и считывания фотонных кубитов. Схема транзистора масштабируема и может быть использована для выполнения квантового логического элемента CNOT с близкой к единице эффективностью для передачи фотонного кубита между атомами транзистора и обратимой загрузки фотонного кубита в атомы резонаторов.
РЕАЛИЗАЦИЯ ПРОТОКОЛА ОПТИЧЕСКОЙ КВАНТОВОЙ ПАМЯТИ В ВОЛНОВОДНОЙ СТРУКТУРЕ В КРИСТАЛЛЕ TM3+:Y3AL5O12
Authors: Павлов А.В. , Миннегалиев М.М. , Герасимов К.И. , Урманчеев Р.В. , Рупасов Т.А. , Моисеев Е.С. , Калинкин А.А. , Кулик С.П. , Моисеев С.А.
Published: July 2022

В настоящей работе был реализован протокол оптической квантовой памяти в схеме восстановления сигнала подавленного эха в одномодовой волноводной структуре, сформированной кристалле Tm3+:Y3Al5O12, актуальной для создания интегральной квантовой памяти в кристаллах, активированных редкоземельными ионами.
ФИЗИЧЕСКАЯ МОДЕЛЬ РЕЗИСТИВНОГО ПЕРЕКЛЮЧЕНИЯ В RERAM-СТРУКТУРАХ НА ОСНОВЕ ОКСИДА ГАФНИЯ
Authors: Ганыкина Е.А. , Резванов А.А. , Горнев Е.С.
Published: July 2022

В настоящей работе представлена физическая модель мемристора на основе оксида гафния, описывающая перенос ионов кислорода, теплопередачу, а также протекание электрического тока через структуру. Проведен анализ основных термических эффектов, возникающих в процессах Set и Reset.
ВЕРОЯТНОСТНАЯ ОЦЕНКА СБОЕУСТОЙЧИВОСТИ КОМБИНАЦИОННЫХ ЛОГИЧЕСКИХ СХЕМ
Authors: Желудков Н.В. , Петров К.А.
Published: July 2022

В работе представлена реализация метода вероятностной модели сбоя вентилей и его интеграция в маршрут проектирования СБИС для оценки сбоеустойчивости. С помощью данного метода проведена оценка сбоеустойчивости различных реализаций нециклического кодера, по результатам которой наилучшей сбоеустойчивостью обладает реализация без элементов «ИСКЛ-ИЛИ».
АТОМНО-СЛОЕВОЕ ОСАЖДЕНИЕ ТОНКИХ ПЛЕНОК ОКСИДА ГАФНИЯ С ИСПОЛЬЗОВАНИЕМ УСТАНОВКИ «ИЗОФАЗ Т. 200-01»
Authors: Зюзин С.С. , Яссеев Я.Г. , Резванов А.А. , Панин В.В. , Гвоздев В.А. , Горнев Е.С.
Published: July 2022

В данной работе представлены результаты осаждения тонких пленок оксида гафния с использованием отечественной установки «Изофаз Т. 200-01», разработанной НИИТМ. В качестве прекурсоров были использованы TEMAH (тетракис(этилметиламино)гафний(IV)) и плазма кислорода. Были получены тонкие пленки различной толщины (100-300 А) с отличной равномерностью по толщине и высокого качества.
ОЦЕНКА ВЛИЯНИЯ ГЕОМЕТРИИ ОБЛАСТИ NWELL НА ХАРАКТЕРИСТИКИ СТАНДАРТНЫХ ЯЧЕЕК
Authors: Загитуллина О.Р. , Коротких С.А.
Published: July 2022

В работе проведена оценка влияния размеров и формы N-кармана на характеристики стандартной ячейки. Выполнено моделирование и получены зависимости ключевых характеристик стандартной ячейки от геометрии N-кармана.
РАДИАЦИОННО СТОЙКИЙ 12РАЗРЯДНЫЙ АНАЛОГО-ЦИФРОВОЙ ПРЕОБРАЗОВАТЕЛЬ С ИСПОЛЬЗОВАНИЕМ АВТОКАЛИБРОВКИ НА БАЗЕ КНИ 180 НМ
Authors: Кочетков Д.В. , Белоусов Е.О. , Моленкамп К.М. , Эннс А.В.
Published: July 2022

Разработан экспериментальный образец 12-разрядного аналого-цифрового преобразователя с высокими показателями линейности при воздействии одиночного импульса и накоплении дозы. В качестве приемов для улучшения значений интегральной и дифференциальной нелинейности применялась автокалибровка внутреннего компаратора.
ВЛИЯНИЕ КВАНТОВОГО ТРАНСПОРТА НОСИТЕЛЕЙ ЗАРЯДА НА ВЫСОКОЧАСТОТНУЮ ЭЛЕКТРОПРОВОДНОСТЬ ПОЛУПРОВОДНИКОВОГО НАНОСЛОЯ
Authors: Савенко О.В. , Кузнецова И.А.
Published: July 2022

Построена теоретическая модель высокочастотной электропроводности полупроводникового нанослоя с учетом квантовой теории процессов переноса. Выполнен анализ зависимостей модуля и фазы проводимости от толщины слоя, частоты электрического поля, параметров шероховатости поверхностей. Проведено сравнение полученных результатов с экспериментальными данными по измерениям удельного сопротивления пленки селенида висмута.
ИССЛЕДОВАНИЯ КОНФИГУРАЦИИ ТОПОЛОГИЧЕСКИХ ЭЛЕМЕНТОВ СБИС И РАЗРАБОТКА АЛГОРИТМА ГЕНЕРАЦИИ БИБЛИОТЕК ТЕСТОВЫХ СТРУКТУР
Authors: Сахащик У.А. , Соколова Е.В.
Published: July 2022

В данной работе представлена разработка алгоритма для генерации универсальной библиотеки тестовых структур для технологии 28 нм.
ИНТЕГРАЛЬНЫЙ МИКРОЭЛЕКТРОМЕХАНИЧЕСКИЙ ЛОГИЧЕСКИЙ ВЕНТИЛЬ ЭЛЕКТРОСТАТИЧЕСКОГО ТИПА В
Authors: Соловьев А.А. , Певцов Е.Ф.
Published: July 2022

В работе приведена модель микроэлектромеханического логического вентиля с подвижным затворным электродом, преобразующего электрический сигнал в механические колебания и способного выполнять функцию булевой алгебры «Исключающее ИЛИ».
МОДЕЛИРОВАНИЕ ПРОФИЛЯ ФОТОРЕЗИСТА В ПРОЦЕССЕ САМОСОВМЕЩЕННОГО ДВОЙНОГО ПАТТЕРНИРОВАНИЯ С УЧЕТОМ КОРРЕКЦИИ ПРОБЛЕМЫ ГОРЯЧИХ ТОЧЕК
Authors: Тихонова Е.Д.
Published: July 2022

Данное исследование посвящено проблеме неравномерности профиля фоторезиста на этапе травления в процессе самосовмещенного двойного паттернирования. Было проведено моделирование профиля фоторезиста и предложена новая методика, помогающая не только отыскать слабые места процесса, но и улучшить ширину линий итоговых элементов.
МЕТОДИКА ПОДБОРА ОПТИМАЛЬНЫХ ПАРАМЕТРОВ ОПТИЧЕСКОЙ МОДЕЛИ ДЛЯ РАЗЛИЧНЫХ ТОПОЛОГИЧЕСКИХ КОНФИГУРАЦИЙ
Authors: Уткина А.А. , Харченко Е.Л.
Published: July 2022

В данной работе представлена методика определения оптимальных параметров оптической модели на примере матрицы изолированных и периодических структур с вертикальной, горизонтальной и смешанной ориентацией.
ЭКСПЕРИМЕНТАЛЬНОЕ И ТЕОРЕТИЧЕСКОЕ ИССЛЕДОВАНИЕ НЕВОСПРОИЗВОДИМОСТИ ПАРАМЕТРОВ ПЕРЕКЛЮЧЕНИЯ В ЭЛЕМЕНТАХ РЕЗИСТИВНОЙ ПАМЯТИ НА ОСНОВЕ ОКСИДА ГАФНИЯ
Authors: Федотов М.И. , Коротицкий В.И. , Ковешников С.В.
Published: July 2022

В работе проведено детальное экспериментальное исследование процессов переключения в элементе RRAM на основе оксида гафния, проведен статистический анализ невоспроизводимости ключевых параметров переключения, предложена аналитическая модель, описывающая результаты эксперимента. Сформулирована и доказана гипотеза множественности проводящих филаментов. Предложен способ создания в ячейке памяти единственного проводящего филамента.
ИССЛЕДОВАНИЕ ВЛИЯНИЯ УГЛА НАКЛОНА СТЕНКИ ФШ НА ФОРМИРОВАНИЕ ИЗОБРАЖЕНИЯ В ФОТОЛИТОГРАФИИ
Authors: Харченко Е.Л. , Балан Н.Н.
Published: July 2022

В данной работе рассмотрены различные подходы к моделированию пропускающей способности фотошаблона при расчете воздушного изображения в фотолитографии. С помощью САПР Calibre Work Bench построены 3D-модели маски с различными значениями угла наклона стенки ФШ и проведено моделирование одиночных и периодических линий.
РАЗРАБОТКА И АПРОБАЦИЯ МЕТОДИКИ ФОРМИРОВАНИЯ КРИТИЧЕСКОЙ СОВОКУПНОСТИ ПАРАМЕТРОВ МИКРОСХЕМ
Authors: Шабанов А.А. , Путря М.Г.
Published: July 2022

Проведено исследование основных параметров СВЧ-микросхем, влияющих на характеристики радиолокационной аппаратуры, определены и сформулированы базовые и частные параметры микросхем и характеристики радиолокационной аппаратуры, разработана и апробирована методика формирования критической совокупности параметров микросхем.
ОДНОМЕРНОЕ МОДЕЛИРОВАНИЕ СУБ-РОСТА НАНОСТЕРЖНЕЙ ZNO НА КРЕМНИЕВЫХ ПОДЛОЖКАХ
Authors: Шарапов А.А. , Матюшкин И.В.
Published: July 2022

Один из методов получения высококачественных монокристаллических наностержней ZnO - газофазный рост. В работе описывается одномерная математическая модель роста нанострежней ZnO на поверхности SiO2 в ходе данного процесса. В модели учтена теплопередача вдоль стержня от зоны экзотермической реакции образования кристаллической фазы ZnO. Модель позволяет количественно оценить скорость роста и распределение температур в твердой и жидкой фазе растущего наностержня.
АВТОМАТИЗИРОВАННОЕ РАБОЧЕЕ МЕСТО ПРОИЗВОДИТЕЛЯ ИНФОРМАЦИОННО-УПРАВЛЯЮЩИХ СИСТЕМ
Authors: Якунин А.Н. , Косенко В.А. , Иванов В.А.
Published: July 2022

Показывается актуальность и практическая значимость разработки и применения автоматизированного рабочего места сотрудника, обеспечивающего производство произвольных информационно-управляющих систем. Рассматриваются вопросы формализации процесса проектирования автоматизированного рабочего места.
A Comprehensive Review on Crop Disease Classification using Machine Learning Technique
Authors: Bande, Priyanka
Published: July 2022

Abstract: With migrating populations towards cities and global urbanization, there arises a need to automate certain sections of agriculture. Precision agriculture has emerged as an active areas of research in which computational and data processing techniques are being applied in the domain of agriculture. One of the most common and menacing problems which farmers face is crop diseases which result in malnourishing the actual crop and in some cases completely destroying the crop. Hence, machine learning and deep learning based techniques are being extensively studied and explored to design systems which can identify diseases among plants, automatically. Crop disease identification is a relatively challenging task keeping in mind the similarity among the textures of plants and the variations among plants of the same category, blurring and noise effects appearing in images typically captured by unmanned aerial vehicles (UAVs). This paper presents a comprehensive review on image pre-processing and machine learning based techniques for automated classification of crops diseases. The fundamental mechanism of noise removal along with noise sources in images have been cited and explained. The basics of machine learning based classifiers applied to image classification have also been discussed. Salient features of existing techniques along with the research gap have been clearly highlighted. The research gaps identified in existing work allows future researchers in leveraging the limitations of existing approaches and devising novel methods. Finally the evaluation metrics to evaluate the performance of existing work have been presented for comparative performance evaluation
A Machine Learning Approach for Automation of Resume Recommendation System
Authors: Korrapati Lakshmi Naga Vishnu Babu
Published: July 2022

Abstract: Finding qualified candidates for a vacant post can be difficult, notably if there are many applications. It can stifle team growth by making it difficult to hire the right person at the right time. "A Resume Recommendation System" has the potential to significantly simplify the time-consuming process of fair screening and shortlisting. It would certainly enhance candidate selection and decision-making. This system can handle a large number of resumes by first classifying them using multiple classifiers and then recommending them based on the job description. We offer research to improve data accuracy and completeness for resource matching by combining unstructured data sources and incorporating text mining algorithms. Our method identifies categories by extracting and learning new patterns from employee resumes.
DeepFake Detection: A survey of countering malicious Deep-Fakes
Authors: Kulkarni Kimaya
Published: July 2022

Abstract: The free access to large-scale public databases, together with the fast progress of deep learning techniques, in particular with the Generative Advertising Networks, has led to the creation of very realistic fake content with its corresponding society in this time of false or fake news. This survey provides a thorough review of techniques to detect DeepFake manipulations.
Detecting Spoofing Attacks in Speaker Verification Systems
Authors: Prajapati Kathan V
Published: July 2022

Abstract: The proof of writing tells that they can be powerful, however the issue is as yet present. Because of the chance of parodying assaults at different points the confirmation utilizing biometric has developed astoundingly these years, however they can be helpless against satirizing assaults. In any event, for programmed speaker check, it is difficult to counter the parodying at all focuses. Notwithstanding an extreme climate, the innovation offers great help; more industriousness will be needed in future to set palatable insurance against the assaults. This paper makes accessible a review of work that has been done in the space of ridiculing assaults and its answer for speaker check throughout the long term.
Microgrid Protection and Fault Analysis
Authors: Modi Sangeeta
Published: July 2022

Abstract: Microgrid is an active distribution network. It can be operated in various modes of operation such as grid connected mode and islanded mode. Integration of distributed generation can provide solution to the power crisis over the globe. But there are various challenges involved in integration of microgrids to the conventional grid. One of the major challenges in the implementation of microgrid is protection of the microgrid. Very little attention has been paid towards microgrids protection which is highly required to ensure safety and reliability of the overall system. In this paper , a hybrid microgrid system has been analysed on the DC side against various types of faults such as Pole to pole fault and pole to ground fault. Results reveal that pole-to-pole fault is more severe then pole to ground fault. Further, a memory based current algorithm has been applied to detect the fault in the microgrid and it was observed that this algorithm is suitable for the detection of the fault in the microgrid. The effectiveness of the controller based on current algorithm has been tested in MATLAB environment
Multiclass Medical X-ray Image Classification using Deep Learning with Explainable AI
Authors: Roshan M K Gagan
Published: July 2022

Abstract: COVID-19, also known as novel coronavirus, created a colossal health crisis worldwide. This virus is a disease that basically comes from Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS). A novel coronavirus, COVID-19, is the infection caused by SARS-CoV-2. The early detection of COVID-19 and the accurate separation of non-COVID-19 cases at the lowest cost and in the early stages of the disease are among the main challenges in the current COVID-19 pandemic. As pneumonia also is a significant indication of COVID-19, then it is necessary to detect it in the early stages. Another challenge is that it is very elusive to classify the chest xray between COVID-19 and pneumonia as the visual indications for both the labels are quite similar. The application of deep learning in the field of radiologic image processing reduces false-positive and negative errors in the detection of this disease and could offer a unique opportunity to provide fast, cheap, and safe diagnostic services to patients. Also, the Deep learning models are considered to be the “black boxes”. According to the ethics of AI in radiology, “transparency, interpretability, and explainability are necessary to build patient and provider trust”
Study on Fiber Reinforced Concrete Using Asbestos
Authors: Vimalanathan M.
Published: July 2022

Abstract: Concrete is one of the widely used construction materials for structures. Cement concrete is an artificial stone produced by hardening mixture of cement, sand, stone chips and water. Since cement concrete is very good in compression but weak in tension, steel reinforcement are to be provided in tension zone. The low tensile strength and brittle character of concrete have been bypassed. Such combination of concrete and steel is called Reinforced Cement Concrete (RCC). The inclusion of small fraction (usually 0.5 to 2% by volume) of short fibers to the concrete, mortar and cement paste can enhance many of the engineering properties of basic materials such as fracture toughness, flexural strength and resistance to fatigue, impact and spalling. The incorporation of fibers into concrete has been found to improve several properties primarily cracking resistance, impact and wear resistance and ductility. For this reason, Fiber Reinforced Concrete (FRC) is now being used in increasing amounts in structures such as airport pavements, highway overlays, bridge decks and machine foundations. Fiber reinforced concrete (FRC) is concrete containing fibrous material which increases its structural integrity. So we can define fiber reinforced concrete as a composite material of cement concrete or mortar
Wearable Sensing and Tele health Technology with Potential Applications in the Corona Virus Pandemic
Authors: M L Prof. Vanishree
Published: July 2022

Abstract: COVID19 has been a serious talk of town since its emergence as one of its impacts is also death. A virulent disease like COVID-19 results in unusual demands in various health care sectors, extraordinarily decreases the population, also it raises fear in the common public. whereas tremendous efforts at the top-notch area unit placed on police work, other health care works of doctors and nurses, it's conjointly extremely vital to look at the systems and technologies for braving malady exposure, stunning its unfold and particularly the strategy for diseases interference
Deep Learning based Fruit Quality Inspection
Authors: Srinivas R
Published: July 2022

Abstract: Digital images and computer sciences have become two powerful tools in several areas, such as astronomy, medicine, forensics, etc. In the last few years, computer sciences are getting involved in agricultural and food science to decide based on estimated or actual parameters named features. Rottenness is the state of decomposing or decaying the quality of the fruit, which not only affects the taste and appearance but also modifies its nutritional composition, causing the presence of mycotoxins dangerous for humans. Detecting rotten fruits has become significant in the agricultural industry. Usually, the classification of fresh and rotten fruits carried by humans is not effective for the fruit farmers. Human beings will become tired after doing the same task multiple times, but machines do not. Thus, the project proposes an approach to reduce human efforts, reduce the cost and time for production by identifying the defects in the fruits in the agricultural industry. If we do not detect those defects, those defected fruits may contaminate good fruits. Hence, we proposed a model to avoid the spread of rottenness. The proposed model classifies the fresh fruits and rotten fruits from the input fruit images. Here, we use a trained deep learning model i,e sequential model to detect whether a fruit is fresh or rotten. In this work, three types of fruits, such as apple, banana, and oranges are used as a dataset. The experiments were done using a dataset composed of around 12000 images divided by 6 classes, 3 fresh fruits, and 3 rotten fruits