bluuebunny/crossref_metadata_2025 huggingface dataset:
ARCHITECTURAL FEATURES OF RESIDENTIAL DEVELOPMENT OF THE FIRST POST-WAR DECADE IN BELGOROD
Authors: Kachemceva L. , Leonidova E.
Published: July 2023

The quarters of low-rise residential buildings of the first post-war decade in Belgorod form the basis of the architectural heritage of the “Stalin era”. This study is aimed at analyzing the architectural features of residential development in the first post-war decade in the city of Belgorod on the example of a block bounded by B. Khmelnitsky Avenue, Shevchenko and Parkovaya Streets. The study is based on an integrated approach, the work uses the methods of retrospective, urban planning, and compositional analysis. The features of the time period indicated in the work for the history of Soviet architecture and Belgorod as an urban entity are shown. The current state of the quarter and its location in the urban structure of Belgorod are considered. The role and place of the quarter in the transformation and further development of the planning structure of the city in the post-war period are determined. The composition of the space-planning construction of the quarter and the front of its development is analyzed. The features of the interaction of block development with its surroundings and terrain are determined. The article touches upon the development of standard projects of residential buildings and the technology of erecting buildings for mass development in the post-war period. The main series of standard projects and the design organizations involved in their development are indicated. The main typical projects of residential buildings used in the development of the quarter were identified. The structural, planning, compositional, architectural features of residential buildings of the quarter are analyzed.
THE PRINCIPLE OF ARCHITECTURAL AND URBAN PLANNING EDUCATION OF SPECIALISTS INTERDISCIPLINARY COORDINATION AND REGULATION OF URBAN PLANNING POLICY ACTIVITIES
Authors: Kolesnikov A. , Gribkov A.
Published: July 2023

Architectural environment - a space that includes architectural objects (buildings, structures), small architectural forms, the connecting elements of infrastructure between them (passages, sidewalks, squares). Specialists in various fields: urban planners, architects, artists, restorers form their own image of the architectural environment. However, the creation of a unified harmony in the development of facade solutions, elements of the planning structure, the integration of ideas into the existing environment is possible by combining the interests of specialists competent in architectural and urban development.

The article presents the material about the proposed principle of architectural and town-planning education not only for the specialists in town planning and architecture, but also for the professionals of related professions, whose joint activity forms the architectural environment surrounding us.

The educational process is formed by means of introduction of architectural and urban planning disciplines in general, professional, additional education and integration of co-creative design in the educational process of specialized architectural and construction educational institutions of professional and additional education.

The result of the material is the development of hypothetical models of educational approach. The controlling apparatus responsible for the reorganization of the educational process, consisting of state and municipal authorities, is formed. Approbation on the example of the municipality "the city of Lyudinovo and Lyudinovo district" is presented. Kaluga Oblast. The town of Lyudinovo is a small town with a population of less than 40 thousand people.
IMPROVING THE OPERATIONAL RELIABILITY OF OIL WELLS IN THE FAR NORTH
Authors: Mihaylov A. , Petrovskii E. , Pavlova P. , Strelkov I.
Published: July 2023

To date, the development of oil fields on the territory of Russia is concentrated in the regions of the Far North. A significant part of these areas is composed of permafrost rocks (MMP). Previously, it was believed that the depth of MMP propagation does not exceed 700 m, however, a geoinformation study of the Markhinskaya well established the spread of MMP to a depth of 1400 m at an average rock temperature of minus 3 C. Thus, the operation of wells in cryolithzones during the thawing of MMP causes serious complications, up to the crumpling of casing strings and tubing. Technical solutions aimed at improving the operational reliability of oil wells in the conditions of the Far North are determined by the use of specialized equipment. The choice of the type of equipment for the specified operating conditions is due to the calculation of the thermal and mechanical interaction of the well with the MMP, as well as parametric control of the most dangerous zones. This article suggests an approach to improve the operational reliability of a well in a cryolytic zone by creating a multilayer structure of a protective casing of a thermally insulated pipe with ultrasonic monitoring of the warming zones of the MMP. The thermal conductivity coefficient of the thermal insulation of the protective casing is calculated depending on the insulation thickness and the life of the well. A comparative assessment of the radius of thawing of the MMP in the borehole space of the well was performed.
Engaging Learners Through Collaborative Learning: Leadership Development of County Extension Directors and Lessons Learned
Authors: Sobrero Patricia , Jayaratne KSU
Published: July 2023

The leadership institute, targeting new and aspiring county Extension directors, was completely revised to reflect face-to-face and online constructivist learning theory and practice. New co-learning and engagement methods were incorporated, and all facilitators and teachers/presenters were trained and coached to use the new methods and philosophy. Five competency area outcomes were expected and then evaluated to determine level of competency development. The events, teachers, and activities of each of the four workshops were also evaluated to determine participants' satisfaction level. The results of the study showed that learning and application of practices occurred in all five competency areas.
Economic Activity Analyses: The Need for Consensus
Authors: Kirk Dylan , Allen Kevin , Shideler David
Published: July 2023

Extension professionals have shown eagerness and creativity when it comes to providing programming justification. However, the potential for misapplication of two common economic activity analyses requires Extension to standardized economic impact and economic contribution techniques. Readers are introduced to the cornerstones of economic activity analyses and are offered interpretations on the methodology needed to conduct an accurate impact or contribution analysis. Additionally, the authors suggest several other essential considerations that need to be addressed when undertaking any economic activity analysis. Other Extension professionals should look to this article and either show support or critique the proposed interpretations.
Effective Regional Community Development
Authors: Nesbitt Rebecca , Merkowitz Rose
Published: July 2023

Times are changing, and so are Extension programs. These changes affect every aspect of the educational effort, including program development, project funding, educational delivery, partnership building, marketing, sharing impacts, and revenue generation. This article is not about how Extension is restructuring to adapt to changes; instead, it highlights the advantages and disadvantages and will focus on practical, real-world strategies that two Ohio State University (OSU) Extension educators have employed to successfully implement regional community development programs.
Using Focus Groups to Assess Educational Programming Needs in Forestry
Authors: Vanderford Emily , Gordon Jason , Londo Andrew , Munn Ian
Published: July 2023

Extension professionals are continually faced with the challenge of effectively communicating relevant information to an ever-evolving audience with diverse interests. Using focus group data, this article highlights specific educational programming needs of nonindustrial private forest landowners (NIPFs) in Mississippi. Findings indicate NIPFs are more likely to adopt new ideas if educational programming is tailored to their specific needs, consequently indicating the need to group the audience by their interests. Data also emphasize the importance of employing new technology as means for communicating more efficiently.
From the Histological Model to the Mutational Model: The Study of Heavy Metals and Other Substances in New Antineoplastic Therapies
Authors: Ruffolo Pasquale , Acquaviva Osvaldo , Capece Pierpaolo , Mazzei Ferdinando , Ruffolo Bruno , Panunzio Manuela , Paraggio Alessandra , Ruffolo Andrea
Published: July 2023

The study of genetic mutations in tumours changes the therapeutic approach; in fact, we move into a different advanced and strategic phase by entering personalized precision medicine and shifting the focus from the tissue study of the tumour to the modification and proliferation of neoplastic cells. The therapeutic programs, especially in oncology, are changing. We are in a phase of transition from the histological model to the model of genetic mutation (mutation). When a person's immune defences do not respond to a disease it is because the body cannot produce or activate specific lymphocytes and antibodies against that disease. This causes of a lack of therapeutic response or recurrence of the disease. A fundamental role is played by genomic tests, which are carried out directly on the neoplastic tissue and other modifies tissues, and the dosage of toxic substances (heavy metals, dioxins, furans, PCBs, etc.) analysed 'primarily' in the tumour and subsequently in the various biological matrices (tissues, modified, blood, urine, hair, nails, breast milk, saliva, etc.) as well as genetic tests. A significant role is a search for toxic substances and therapeutic integration of trace elements beneficial for cellular metabolism, especially for defence mechanisms, absent or deficient in these patients, such as Copper, Selenium, Zinc, Cobalt, Iron, and Manganese to improve or modify a lack of therapeutic response. Another parameter to consider is hyperglycaemia in diabetic subjects, which according to various scientific research, is considered a personal risk factor not so much in the formation phase of the neoplastic disease, but in the healing response phase.
Immunohistochemical Evaluation of Local Immunity in Cervical Squamous Cell Carcinoma of Different Tumor Grade
Authors: Шиман О.В. , Алексинский В.С. , Басинский В.А. , Ляликов С.А.
Published: July 2023

Цель исследования. Оценить прогностическую и патогенетическую значимость факторов местного иммунитета в плоскоклеточном раке шейки матки (РШМ) разной степени дифференцировки на ранних его стадиях (pT1 и pT2). Материалы и методы. Проведено морфологическое и иммуногистохимическое исследование архивных парафиновых блоков резецированного инвазивного плоскоклеточного РШМ на стадиях pT1 и pT2. Использовались моноклональные антитела к CD1a, CD4, CD8, CD19, CD45RO, CD3, IL-10 и TGF-β. Результаты. Высокодифференцированный РШМ ранних стадий (рТ1–рТ2) демонстрировал в течение первого года после оперативного лечения повышенный метастатический потенциал и при этом был существенно меньше инфильтрирован Т-хелперами, цитотоксическими Т-лимфоцитами и В-клетками, что, вероятно, обусловлено повышенной экспрессией TGF-β, подавляющего пролиферацию активированных Т-хелперов. Возможные позитивные иммунологические эффекты выраженной инфильтрации иммунными клетками низкодифференцированного РШМ могут нивелироваться повышением экспрессии IL-10, что приводит к нарушению иммунологического контроля. Заключение. При оценке рака шейки матки важно учитывать не только свойства самой опухоли, но и ее микроокружение, состояние локального иммунитета и особенности стромальной реакции. Полученные результаты показывают, что механизмы нарушения иммунного надзора при раке шейки матки различной степени дифференцировки требуют дальнейшего изучения.

Purpose of the study. To evaluate the prognostic and pathogenetic significance of local immunity factors in cervical squamous cell carcinoma of different tumor grade at its early stages (pT1 and pT2). Materials and methods. Morphological and immunohistochemical study of archival paraffin blocks of resected invasive cervical squamous cell carcinoma at stages pT1 and pT2 was carried out. Monoclonal antibodies against CD1a, CD4, CD8, CD19, CD45RO, CD3, IL-10 and TGF-β were used. Results. Well-differentiated early-stage cervical carcinomas (pT1–pT2) showed an increased metastatic potential during the first year after surgical treatment and were significantly less infiltrated by T-helpers, cytotoxic T-lymphocytes and B-cells, which is probably due to increased expression TGF-β, which suppresses the proliferation of activated T-helpers. Possible positive immunological effects of pronounced infiltration of low-grade cervical carcinomas by immune cells can be neutralized by an increase of the IL-10 expression, which leads to disruption of immunological response. Conclusion. By analysis of cervical cancer, it is important to take into account not only the properties of the tumor itself, but also its microenvironment, the state of local immunity, and the characteristics of the stromal reaction. The results obtained show that the study of the mechanisms of impaired immune surveillance in cervical carcinomas of different tumor grade requires further study.
Stress as an Etiological Factor of Disorders and Diseases of the Reproductive System, the Effectiveness of Physiotherapy (Literature Review)
Authors: Грудницкая Е.Н. , Волковец Э.Н.
Published: July 2023

Проанализированы источники литературы, отражена патогенетическая роль стресса в формировании нарушений и заболеваний репродуктивной системы. Рассмотрены изменения нейроэндокринной функции и иммунологической реактивности организма при длительном стрессорном воздействии. Представлены данные, подтверждающие высокую эффективность применения физиотерапевтических методик в комплексной терапии гинекологических заболеваний, особенно в послеоперационном периоде. Воздействия лечебными физическими факторами способствуют нормализации не только нейрогуморальной регуляции, иммунного ответа, но и психофизиологического статуса женщин.

Literature sources are analyzed, the pathogenetic role of stress in the formation of disorders and diseases of the reproductive system is reflected. Changes in the neuroendocrine function and immunological reactivity of the body under long-term stress exposure are considered. The data confirming the high efficiency of the use of physiotherapeutic methods in the complex therapy of gynecological diseases, especially in the postoperative period, are provided. The impact of therapeutic physical factors contributes to the normalization of not only neurohumoral regulation, immune response, but also the psychophysiological status of women.
Surgical treatment of acute complicated duodenal ulcers
Authors: Ivanchov P.V. , Biliachenko M.V.
Published: July 2023

Complications of peptic ulcer of the stomach and duodenum are an integral part of urgent abdominal surgery. This especially applies to complications of duodenal ulcers (DU), which, in turn, is associated with a combination of several complications and problems with the choice of surgical tactics for their treatment. This is supported by postoperative mortality rates, which remain high and range from 15.0% to 68.0% according to various sources. The aim was to improve the results of treatment of complicated duodenal ulcers. The results of the analysis of surgical treatment of acutely complicated duodenal ulcers (combination of 3 and/or 4 combined complications) for 2 periods are presented: 1st – from 2000 to 2014 (group A) – 69 patients; 2nd – from 2015 to 2022 (group B) – 50 patients. 119 (100.0%) patients were operated on for complicated duodenal ulcers, of which 101 (84.9%) patients had a combination of three complications, and 18 (15.1%) – four complications. Out of 119 patients, 106 (89.1%) had bleeding complications. Complications of ulcer perforation in 53 (44.5%). Based on the obtained analysis data, there is a steady trend towards an increase in the rate of organ-preserving operations by 1.62 times (from 50.7% to 82%), a decrease in the number of gastric resections by 2.7 times (from 15.9 % to 6%). The number of performed organ-sparing operations was relatively stable: in group A – 15 (21.7%), in group B – 10 (20%). The use of modern measures of endoscopic hemostasis made it possible to implement a system of preparing patients for surgery, to operate on patients in the early delayed period, and their share from the first period to the second increased by 3.2 times (from 5.7% to 18.3%). The number of patients who underwent emergency surgery with ulcer perforation and bleeding as combined complications decreased in the second period compared to the first by 2.8 times, which is associated with the widespread use of mo­dern proton pump inhibitors in the conservative treatment of DU. Actively individualized tactics and the use of developed algorithms for choosing the type of surgical intervention made it possible to reduce the mortality rate by almost 2 times: from 16.8% in the first period (group A) to 8.9% in the second period (group B).

Keywords: perforation, bleeding, stenosis, penetration, vagotomy, gastric resection.
Control through artificial neural networks of direct current motor
Authors: RODRÍGUEZ-FLORES Oliver , ESCOBEDO-TRUJILLO Beatris A. , GARRIDO-MELÉNDEZ Javier , COLORADO-GARRIDO Darío
Published: July 2023

The main objective of this work is to present the methodology to control the speed of a DC motor experimentally through artificial neural networks of the NARX type (Nonlinear Autoregressive Neural Network with exogenous inputs). To achieve this, the artificial neural network was trained (ANN) on the Matlab platform, the speed of the motor was controlled in real-time with the LabVIEW software and a CompactRio data acquisition system, and it was possible for the speed of the motor to follow a constant reference, obtaining a steady state error less than 3 %.
The experience of using virtual mobility, as a window to approach knowledge in the field of physics, among students of the Universidad Tecnológica de Bolívar (Colombia), Universidad Nacional de San Luis (Argentina) and the Universidad Tecnológica de Jalisco (Mexico)
Authors: OJEDA-CAICEDO Vilma Viviana , BARRÓN-BALDERAS Juan José , GALDEANO-NÉSTOR Fabian , MONASTEROLO Ricardo
Published: July 2023

The experience was carried out with the courses of mechanical physics of the UTB (Colombia), physics at the Technological University of Jalisco (Mexico) UTJ and physics 1 of the Faculty of Engineering and Agricultural Sciences (FICA) of the National University of San Luis (Argentina) UNSL. The purpose was to carry out work with international peers with the students of the 3 participating universities, promote interculturality, understanding and appropriation of scientific concepts that support the training without implying mobility or a considerable investment. To develop the strategy, meetings were held to review content, schedules, and activities. The sessions included icebreaker activities; master classes conducted by the two teachers with groups from both universities. In some sessions, tests were carried out to compare the level of learning of the students on the topics presented. The sessions were complemented with demonstrations, simulations and the development of team exercises, as well as supporting readings selected by each one of the teachers. The results of the strategy showed that all the participants were able to have new academic and intercultural experiences, improving their global vision of physics, through the use of laws, principles and theorems of mechanical physics, through mirror classes and collaborative work done.
Design of a web system for the registration of reagents aimed at education 4.0
Authors: MORALES-ZAMORA Vianney , PAREDES-XOCHIHUA María Petra , SÁNCHEZ-JUÁREZ Iván Rafael
Published: July 2023

The introduction of 4.0 technologies in universities requires profound changes, where technologies must be used as cognitive tools that develop students' knowledge, their critical thinking and their ability to communicate with others. The objective of the present work is to show the design of a web system focused on registering users, test programming registration with reagents that support the subject of web programming fundamentals aimed at education 4.0, which is distinguished as virtual courses that include a interactive presence in the form of blended learning and features driven by major challenges in educational technology that could include any of the following: personalized learning process, gaming and virtual reality/augmented reality based learning, communities of practice, adaptive technologies, data analysis learning, intelligent Chabot and electronic evaluation.
Luxury in jewelry design
Authors: Qutayba Abdul Khaleq Aya , Mohsen Ali Nawal
Published: July 2023

The current research dealt with the presence of ornaments and jewelry since ancient times، which express the social، religious or emotional status of the person who adorns them، in addition to being distinguished by a distinct aesthetic and luxury، that is، in a sense closely related to the social and economic status of people، and we note that jewelry is considered a symbol of luxury and luxury، and hence The need to study luxury appeared in the design of ornaments and jewelry because it refers to the adornment elements that are made of metals and precious stones، which actually indicate signs of status or position that distinguish social classes from each other. The problem was identified by the following question: Determine the effectiveness of luxury in the design of jewelry and jewelry? The research included two important topics. We will address them successively.
Below are some results and conclusions:1. Luxury is of great importance in the field of distinguished and luxurious creativity of the industrial designer and industrial production institutions in the modern industrial world.2. The emergence of luxury led to the fulfillment of the requests of users with trends and class of the velvet class of the rich، political figures، aristocratic classes and the global bourgeoisie.
Estimation of the anthropogenic load on small rivers by the level of pollution of bottom sediments with organic matter, phosphates and iron
Authors: Чеснокова С.М. , Савельев О.В.
Published: July 2023

Приводятся результаты исследований по оценке антропогенной нагрузки на малые реки Владимирской области по уровню загрязнения донных отложений органическим веществом, фосфатами и соединениями железа (III). Реки Илевна, Каменка и Содышка характеризуются различной площадью водосборных территорий и уровнем их населенности, идентичностью диффузных источников загрязнения. Установлено, что исследованные водотоки имеют высокий уровень загрязнения органическим веществом, фосфатами и соединениями железа (III) воды и донных отложений, вследствие чего они эвтрофированы. По уровню загрязнения гидроэкосистем органическим веществом и фосфатами водотоки образуют ряд: Содышка > Каменка > Илевна, а по содержанию железа (III): Каменка > Содышка > Илевна. По величине показателя ХПК, характеризующего загрязнение органическими соединениями, воды реки Илевны являются грязными, а рек Содышки и Каменки – очень грязными. Чрезвычайно высокий уровень загрязнения имеют экосистемы рек Содышки и Каменки. В целях предотвращения гиперэвтрофирования и деградации предложено провести расчистку их русел от донных осадков. Предлагается методика расчета антропогенной нагрузки по индивидуальным загрязняющим веществам с учетом их концентрации в донных отложениях и площади водосборных бассейнов.

The results of studies on estimating the anthropogenic load on small rivers of the Vladimir region in terms of the level of pollution of bottom sediments with organic matter, phosphates and iron (III) compounds are presented. The Ilevna, Kamenka and Sodyshka rivers are characterized by different surface areas and population level of their watersheds, and by the identity of non-point sources of pollution. It has been established that water and bottom sediments of the studied watercourses are heavily polluted with organic matter, phosphates and iron (III) compounds; and, consequently they are eutrophicated. In terms of the pollution of hydroecosystems with organic matter and phosphates, the watercourses form a series: Sodyshka > Kamenka > Ilevna, and in terms of the concentration of iron (III): Kamenka > Sodyshka > Ilevna. Judging from the COD index that characterizes pollution with organic compounds, the water of the Ilevna river is dirty, and the Sodyshka and Kamenka rivers are very dirty. The ecosystems of the Sodyshka and Kamenka rivers are heavily polluted. In order to prevent hypereutrophication and degradation, cleaning their riverbeds to remove bottom sediments is proposed. A method is suggested for calculating the anthropogenic load of certain pollutants with account of their concentration in the bottom sediments and watershed area.
Special treatment of liquid radionuclide waste from the oncology department of the hospital in the Skolkovo Innovation Center
Authors: Крепп А.В. , Черемушкин Г.Б. , Малицкий В.С. , Корягина А.В. , Харина М.Я. , Кадыкова О.В.
Published: July 2023

ООО «РадиоИзотопные Приборы» совместно с ООО «Институт «Каналсетьпроект» разработали проектную и рабочую документацию по спецочистке хозяйственно-бытовой канализации с жидкими радионуклидными отходами от онкологического отделения больницы. Медицинское отделение располагается на территории инновационного центра «Сколково» (г. Москва). Разработанная система спецканализации позволяет снизить объем сточных вод от «активной» палаты, безопасно отвести их в резервуары-отстойники для дезактивации за счет естественного распада радиоактивных изотопов, безопасно сбросить в хозяйственно-бытовую канализационную сеть без угрозы для человека, окружающей среды и сооружений канализации.

RadioIzotopnye Pribory, LLC in cooperation with Institut Kanalset’proekt, LLC developed design and engineering documentation for the special treatment of a domestic sewer with liquid radionuclide waste coming from the oncology department of the hospital. The medical department is located on the territory of the Skolkovo Innovation Center (Moscow). The developed special sewer system provides for reducing the volume of wastewater from an «active» hospital ward, safe diverting it to settling tanks for decontamination owing to the natural decay of radioactive isotopes, safe dumping it into the household sewer network posing no risk to the people, environment and sewer facilities.
Rehabilitasi Medik pada Nyeri Bahu Hemiplegia Pasca Stroke
Authors: Manurung Joshua , Lampah Christopher , Gessal Joudy
Published: July 2023

Abstract: According to WHO 2019, stroke is the second leading cause of death worldwide and a significant cause of long-term disability. One of the complications that often occurs after a stroke is hemiplegic shoulder pain that affects the patient with decreased functional use of the arm, decreased quality of life, higher rates of depression, prolonged hospitalization, and impaired rehabilitation. This study aimed to discuss about rehabilitation efforts in post stroke patients with hemiplegic shoulder pain. This was a literature review study by searching three databases (Google Scholar, Pubmed, and Clinical Key) to determine medical rehabilitation for hemiplegic shoulder pain. The results obtained 13 literatures that matched the criteria. Hemiplegic shoulder pain in many ways, such as reducing the functional use of the arm, reducing quality of life, increasing levels of depression, prolonged hospitalization, is to the point of interfering with the recovery process, namely rehabilitation. In conclusion, medical rehabilitation for hemiplegic shoulder pain has shown quite successful efforts in treating or restoring the condition of patient with hemiplegic shoulder pain. It is possible to carry out more extensive research regarding the underlying causes, examinations to diagnose hemiplegic shoulder pain, and more effective rehabilitation in the future.
Keywords: medical rehabilitation; hemiplegic shoulder pain; post stroke; quality of life
 
Abstrak: Menurut WHO 2019, stroke merupakan penyebab kematian kedua di dunia dan salah satu penyebab yang bermakna bagi disabilitas jangka panjang. Salah satu komplikasi yang sering terjadi setelah kejadian stroke ialah nyeri bahu hemiplegia yang memengaruhi penderita dengan penurunan penggunaan fungsional lengan, penurunan kualitas hidup, tingkat depresi yang lebih tinggi, rawat inap yang berkepanjangan, gangguan rehabilitasi. Penelitian ini bertujuan untuk mengetahui rehabilitasi medik pada nyeri bahu hemiplegia pada pasien pasca stroke menggunakan metode literature review dengan penelusuran pada tiga database (Google Scholar, Pubmed, dan Clinical Key). Hasil penelitian mendapatkan 13 literatur yang sesuai dengan kriteria. Nyeri bahu hemiplegia dalam banyak hal, seperti penurunan penggunaan fungsional lengan, penurunan kualitas hidup, tingkat depresi yang bertambah, rawat inap yang berkepanjangan, sampai mengganggu proses pemulihan membutuhkan rehabilitasi. Simpulan penelitian ini ialah penanganan rehabilitasi medik pada pasien pasca stroke dengan nyeri bahu hemiplegia telah menunjukkan upaya yang cukup berhasil dalam mengobati atau memulihkan kondisi tersebut Tidak menutup kemungkinan dilakukan penelitian yang lebih luas mengenai penyebab yang mendasari, pemeriksaan untuk mendiagnosis keadaan nyeri bahu hemiplegia maupun rehabilitasi yang lebih efektif di masa mendatang.
Kata kunci: penanganan rehabilitasi medik; nyeri bahu hemiplegia; pasca stroke; kuallitas hidup
Reactions of NH3 on high-temperature silicon surface and structure evolution during silicon nitride film growth
Authors: Zang Kan , Niu Tong , Wang Wei Han , Dong Huajun , Guo Fangzhun
Published: July 2023

Temperature and dosage-dependent reactions of NH3 on the Si(111)-(7 × 7) surface have been studied by low-temperature scanning tunneling microscopy. It was found that the surface reaction exhibited three different dissociative adsorption channels as the temperature increases at low exposure. Under the condition of high exposure, the amorphous structure of silicon nitride film gradually transformed into an ordered phase, with the increase of substrate temperature, and finally presented an 8/3 × 8/3 structure. This means that both exposure and temperature are critical for forming an ordered surface structure. Furthermore, many adsorbates were observed on the nitride region during the growth process, which is believed to be the intermediate reactants in the nitridation reaction and consumed in the subsequent annealing process to form an orderly and clean surface morphology.
Rancang Bangun Sistem Penggajian Dosen Penguji Seminar Proposal dan Ujian Skripsi Berbasis Web Pada Fakultas Sains dan Teknologi Universitas Nahdlatul Ulama Lampung
Authors: Imam Mualim  , Nuari Anisa Sivi  , Risti Ayuni  , Rudi Hartono
Published: July 2023

Penelitian ini di latar belakangi karena sistem penggajian dosen penguji di fakultas sains dan teknologi belum terkomputerisasi yaitu masih manual menggunakan program bantu microsoft exel, permasalahan yang sering terjadi ialah perhitungan nominal gaji yang berulang. Tujuan dari penelitian ini adalah untuk mengetahui kinerja sistem, kelebihan sistem serta mempermudah pekerjaan bagi pengguna sistem. Metode penelitian yang digunakan dalam perancangan ini adalah melakukan pengumpulan data melalui wawancara, studi lapangan dan studi literature serta metode yang di gunakan dalam pengembangan sistem adalah metode waterfall. Hasil yang diperoleh adalah sistem penggajian dosen penguji berbasis web berguna untuk admin dan Wakil Dekan II serta mempermudah untuk membuat laporan gaji dengan mudah. Selain itu juga memudahkan Kepala Biro PK3 (Perencanaan Keuagan, Kepegawaian dan Kerjasama) dapat mengelola pembayaran penggajian dosen penguji tepat pada waktunya.
Emotion Recognition using OpenCV
Authors:   School of C&IT, REVA University., Aditya P.S.R.V , Sai P Dinesh ,   School of C&IT, REVA University., Varati Purvaja ,   School of C&IT, REVA University., Singh R Rohan ,   Ranjitha U.N, School of C&IT, REVA University.
Published: July 2023

The human face plays a pivotal role in identifying emotions, regardless of subject-independent features. For human-computer interaction, facial expressions form a platform for non-verbal communication. In this regard, a system which detects and analyses facial expressions, needs to be robust enough to account for human faces having multiple variability such as color, orientation, posture and so on. Our paper focuses on the technicalities which makes the system capable of addressing the variability associated with facial expressions. This is achieved using concepts of machine learning, deep learning and artificial intelligence. The focus extends to making human-machine interaction not only an interactive process, but also a user friendly one. The implementation makes use of a Haar Cascade Classifier, Tensorflow and openCv.
Crime Detection in Surveillance Videos
Authors:   REVA University, India., M Ashok Kumar J , C Arun Kumar ,   REVA University, India., R Abishek B ,   REVA University, India., E Thirumagal ,   REVA University, India.
Published: July 2023

During the most recent couple of decades, surveillance cameras have been introduced in numerous areas. Examination of the data caught utilizing these cameras can assume powerful jobs in web based observing different occasion expectation and objective driven applications including inconsistencies and interruption identification. Wrongdoing has raised in our everyday lives, observation recordings are utilized to catch an assortment of true irregularities. Observing consequently a wide basic open zone is a test to be tended to. We can abuse ongoing PC vision calculations so as to supplant human work. The video observation framework is two-dimensional spatial data over a third measurement, that recognizes and predicts strange practices expecting to accomplish a shrewd reconnaissance idea. In this paper, we audit various methodologies used to learn inconsistencies by abusing both ordinary and atypical recordings. To abstain from clarifying the peculiar fragments or clasps in preparing recordings, which is very tedious, the learning calculation adapts irregularity through the different examples of positioning structures by utilizing the feebly marked preparing recordings.
Machine Learning Based Leaf Disease Detection
Authors:   School of C & IT, REVA University, Bangalore, India., K Sowmya Sundari L , Rayapuram Harshitha ,   School of C & IT, REVA University, Bangalore, India., M Keerthana ,   School of C & IT, REVA University, Bangalore, India., M Kusuma Rathna ,   School of C & IT, REVA University, Bangalore, India., A Shalini ,   School of C & IT, REVA University, Bangalore, India.
Published: July 2023

India is mainly known for land of agriculture. Majority of the population depends on agriculture. Farmers are unaware to find the disease of the crops which may affect their livelihood. This is one of the major problems where the farmers are facing. To overcome this problem, a device which detects the disease of the leaf using Image processing and machine learning. With the help of image processing, the affected leaf pictures are taken as reference detects the disease of the leaf. Mean Shift algorithm and SVM classifier are used for segmentation and in classification of the disease. This application is used for farmers in identifying the disease of the leaf.
Stock Price Prediction using KNN and Linear Regression
Authors:   REVA University, Bangalore, India, N Mr. SurendraBabu K , N Priyanka C ,   C&IT, REVA University, Bangalore, India., Jaiswal Suraj Kr ,   C&IT, REVA University, Bangalore, India, P Reshma ,   C&IT, REVA University, Bangalore, India., P Poornima S ,   C&IT, REVA University, Bangalore, India
Published: July 2023

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. With the ever increasing amounts of data becoming available there is good reason to believe that smart data analysis will become even more pervasive as a necessary ingredient for technological progress. It is an important challenge for the people who invest their money to forecast the daily stock prices, which helps them to put money into stock market with credence by taking risks and also variations into considerations. In this paper, we are going to apply KNN method and linear regression for predicting the stocks. The performance of linear Regression model on the selected data set is better when compared to KNN algorithm technique. The stock holders can invest confidently based on the results obtained from the model.
Password Processing Scheme using Enhanced Visual Cryptography and OCR in Hybrid Cloud Environment
Authors:   School of C&IT, REVA University, India., R Ranjith. , S Supreeth ,   School of C&IT, REVA University, India., R Ramya ,   School of C&IT, REVA University, India., M Ganesh Prasad. ,   School of C&IT, REVA University, India., L Chaitra Lakshmi ,   School of C&IT, REVA University, India.
Published: July 2023

to authenticate the user using the password can be achieved by simply converting the password into the values is called hash. Even though there are many websites which can unlock the hash values by using some cracking tools called as cyber attacks. This cyber attacks are very much common by the way of hacking the passwords by hackers. Hackers can undeniably figure out the plain text using such software's it gives n-number of examples of plaintext samples which the hackers can execute and crack open or penetrate into personal information in the Hybrid Cloud Environment. To overcome this type of trouble or mishap our system is recommended. The proposal is that our system not only converts the plaintext into hash values but it will be stored as an image, the user will only be having an ID and login password (at the time of user creation) . The user when he wants to login he will receive an email in which a share-1 image will be present which is encrypted completely even he himself can't be able to recognize what it is, the server will ask him to download the share-2 image then he has to enter his user ID for the server to recognize his User-ID. Since these images are encrypted both share images 1&2 are encrypted by VC (Visual Cryptography) then the user has to merge these two images, if it matches then only the user can login. This merge method undergoes OCR (0ptical cryptography recognition). Our aim is to prevent hackers from gaining access to personal information of the users in Hybrid Cloud Computing Environment.
Workspace Allocation and Management System with Realtime Feedback from IOT Sensors
Authors:   REVA University, India., Nevara Jayaprakash , Mirji Jyoti ,   REVA University, India.
Published: July 2023

Office real estate space investments is one of the major capital expenditures done by any IT and ITES companies. This has a major impact on the profitability of the organizations as it adds to the capital expenditure incurred by them and also has environmental implications. As the companies grow they will be looking for more real estate space which will lead to putting more land into commercial usage for office space. Today, most of the companies allocate office space for employees statically on a 1:1 ratio i.e one cube per employee. But, given the fact that the modern workforce is mobile and at any given point of time not all the employees will be working from office for various reasons, making static allocation of office space and its usage inefficient and ineffective. So, there is a need for managing the available space efficiently and effectively. Organizations can look for saving real estate investments by increasing the user to cube ration by more than 1. This paper proposes a comprehensive system for workspace allocation and management with real time feedback from IOT sensors at the office spaces.
Tracking Suicidal Tendency using Twitter Data and Machine Learning Algorithms
Authors:   School of CSIT, REVA University, Bengaluru, India., Daiphule Likitha , Reddy Dr Bhaskar ,   Associate professor, School of CSIT, REVA University, Bengaluru, India., Savith Avinash ,   School of CSIT, REVA University, Bengaluru, India., V Apoorva T ,   School of CSIT, REVA University, Bengaluru, India., Kavyashree  ,   School of CSIT, REVA University, Bengaluru, India.
Published: July 2023

Social media analytics has a major part in a person’s life in this scenario. It is used to obtain the thoughts and opinion, sentiments of People. In this world people are comfortable sharing their thoughts and feelings effectively on social media rather than sharing their happiness or problems to their friends, parents or siblings’. Cerebral health indicators, with depression, Depression and nervousness leads to high risk of people obligating to suicide. Digital knowledge plays a major role to find suicidal tendency of people and to help them out. The study or research about finding the amount of people who have suicidal tendency or not was carried over by many universities where they collected the data from twitter or any health organizations. Twitter data is the most easily available data when compared to Facebook or any other social media site. These observations help us to determine the percentage of people having suicidal tendency or not by many processes which includes data preprocessing, data augmentation, testing and training, and final result representation. We use machine learning concepts. Sentiment Analysis or opinion mining is used. There are many reasons for suicides across the world, using this digital or social data and with the help of machine learning we could also differentiate between the group of people who actually are depressed or people tweeting jokes, songs etc.
Multiple Machine Learning Classifiers for Student’s Admission to University Prediction
Authors:   School of Computing and Information Technology, Reva University, Bangalore, India, B Anil , Pasha Akram ,   Associate Professor, School of Computing and Information Technology, Reva University, Bangalore, India., Aman  ,   School of Computing and Information Technology, Reva University, Bangalore, India., Singh Aman Kumar ,   School of Computing and Information Technology, Reva University, Bangalore, India., Singh Aditya Kumar ,   School of Computing and Information Technology, Reva University, Bangalore, India.
Published: July 2023

Data is the most important asset for any organization which is further processed to produce useful information. Machine Learning and Big Data techniques are widely used for industrial sectors to generate useful patterns helpful for earning more profits and expand businesses. From the past few years, a lot of research works have been done by using Big Data techniques on educational data for improvement in Education System. Machine Learning and Big Data can be useful for predicting the students’ admission, performance of teaching, performance of a student, identifying the group of students of similar behavior. However, the manual process of record checking is time consuming, tedious, and error prone; due to the inherent volume and complexity of data. In this study, the combination of linear and non-linear machine learning algorithms; Logistic Regression, Decision Tree, k-NN, and Naïve Bayes have been chosen to perform prediction of the target class for an unseen observation by polling. As the models built in this work are predicting the likelihood of a student taking up the admission into any university based on the student data collected by any marketing agency, the combined models are collectively called as the Admission Predictor. The administrative officials of any academic institution can use this kind of an application to explore and analyze the patterns that are affecting the student admission and come up with enhanced strategies to improve admission. Such an application not only plays a vital role in administration, but also help the management in reformulating the marketing criteria for overall development of academic institution.
Accuracy of Classification Algorithms for Diabetes Prediction
Authors:   School of C&IT, REVA University, India., Subhash Ambika Rani , UM Dr. Ashwinkumar ,   School of C&IT, REVA University, India.
Published: July 2023

The illness that happens in the human body because of enormous amounts of sugar in the blood, i.e., when the human body has elevated amounts of glucose in the blood is Diabetes Mellitus all the more ordinarily referred to just as diabetes. The diverse most usually happening assortments of diabetes are Prediabetes, Type2, Type 1 and Gestational Diabetes. Type 2 diabetes, is interminable and generally happens, when the human body does not usefully utilize the hormone, insulin, which is created by it. The Type 1 assortment happens when the pancreatic organ doesn't deliver enough insulin as is required by the human body.Prediabetes is one that occurs when the blood sugar levels are very high but not as much when compared to the Type 2 variety. Gestational diabetes usually affects pregnant women and here also the blood sugar levels are very high. According to the global report by the WHO (World Health Organization), around 422 million people suffer from the disease and a worrying 1.6 million odd deaths are credited only to diabetes every year. However, timely diagnosis of the disease and care of patients through simple lifestyle measures has proven to keep this deadly disease in check. The main challenge for doctors however, is the tedious process of identifying the factors that cause the occurrence of this disease, in an effective and timely manner. During the recent times this challenge is being addressed through Data Mining and Machine Learning techniques. The main aim of this experimentation is for designing a prediction model which can, with utmost accuracy, diagnose the occurrence of diabetes in patient. These training models have been designed using the WEKA tool and four supervised machine learning classification algorithms such as Naïve Bayes, J48, SVM and Neural Networks have been used to predict the onset of diabetes at an early stage. The dataset used here is the Pima Indian Diabetes training Dataset abbreviated as PIDD, which has been acquired from the UCI repository. Chi-squared tests have been applied on this dataset to obtain only those attributes that have the highest tendency of causing diabetes in patients. The performance of each of the classification algorithms have been compared and analyzed based on Accuracy, F-measure, Recall, Precision and ROC curves.