bluuebunny/crossref_metadata_2025 huggingface dataset:
ABSENTEEISM IN MODERN LAW: CAUSES AND METHODS OF OVERCOMING IT
Authors: Frantsuz-Yakovets Tetiana
Published: August 2023

The article examines the causes and conditions of the phenomenon of absenteeism, as well as the problems and features that exist today in the field of suffrage.
The political, social and psychological factors that influence the level of electoral activity
are analyzed and considered. The phenomenon of parliamentary absenteeism through the
prism of democracy and legitimacy of parliamentary activity is considered. The relationship between the political and legal culture of the population and the process of forming a clear civic position, civic activism and social responsibility has been studied. As practice shows, the conduct of election campaigns, the process of forming an electoral culture is complex and multifaceted. The formation of political and legal culture, civic activism and responsibility must begin at the level of secondary education. State and public institutions should play an active role in this process, which are designed not only to acquaint citizens with the election legislation, but also to explain its norms. An effective means of overcoming passivity and indifference today is to establish a public dialogue between citizens’ associations and state institutions. The use of transparent electoral technologies is also important. In general, to overcome absenteeism in modern domestic political practice, society and the state need politicians with national thinking and state-building strategy. The elected government must be open and accountable to the citizens who voted for it. Political elites must be responsible for the country’s political choices. In addition, in the age of information technology, the media are of great importance, which can also significantly affect the activity of citizens during elections, giving preference not only to advertising candidates, but also to election debates, comparative analysis of independent scientific institutions, objective and not engaged information coverage.
FISCAL POLICY OF UKRAINE IN THE CONTEXT OF EUROPEAN INTEGRATION: ORGANIZATIONAL AND LEGAL PROBLEMS OF IMPLEMENTATION
Authors: Logvynenko Mykola , Taran Svitlana , Klochko Alyona
Published: August 2023

The relevance of the chosen issue is due to the fact that in the face of negative
external and internal factors, the economic system of the state is under threat of destruction, which requires an appropriate response from the state authorities. Therefore, in order to overcome or minimize these challenges, as well as to promote healthy macroeconomic environment, fiscal policy can be used as a powerful tool for regulating economic activity. The purpose of the article is to analyze the institutional problems of implementing fiscal policy in Ukraine in the context of European integration. The systemic-structural method, systemic method, critical analysis method, formal-and-legal method, and analytical methods were used to achieve this goal. The normative basis of the study is the legal acts of Ukraine, while the scientific framework of this study is primarily the interpretation of basic concepts, notably, “fiscal policy». The content and elements of the fiscal policy are defined. The essence and system of fiscal policy bodies, which are divided into bodies of general and special competence, are determined. The shortcomings of the organizational and legal regulation of fiscal policy in Ukraine in the context of European integration are analyzed. The foreign experience of implementing fiscal policy is reviewed. It is concluded that there is an objective need to develop a concept for improving the fiscal policy of Ukraine in the context of European integration, the content of which wouldvf be aimed at a gradual conceptual transition of Ukraine to the model of fiscal policy of the EU member states. Furthermore, taking into account the lack of criteria for determining the efficiency and effectiveness of the state’s activities in the economic sphere, the need to elaborate a mechanism that allows assessing the activities of state bodies in terms of spending the state’s financial resources is established. The practical value of this study lies in the fact that the proposals set out in the article are aimed at improving the implementation of fiscal policy in Ukraine, which will facilitate its integration into the European space.
Examining The Effect of Psychological Factors Towards Consumers’ Groceries Purchasing Decision at Aeon Serpong BSD
Authors: Yasmin Alifia
Published: August 2023

Studying core elements of marketing science and customer behaviour is a crucial feature that any businessman should have. Consumer behaviour is a process that is inextricably linked to the presence of a purchasing process. A businessman frequently has difficulties accurately understanding and assessing customer demands and behaviour owing to the numerous aspects that impact consumer behaviour, and each consumer has a different behavior. This study aims to examine the influence of psychological factors such as motivation, perception, personality, and attitude towards consumers’ groceries purchasing decision at Aeon BSD. The population in this study were Aeon BSD customers. The sampling technique used was convenience sampling and data collection methods through an online questionnaire to 260 respondents who fit the population criteria. Based on the results of this study indicate that attitude has the most significant effect on consumers’ purchasing decisions, followed by perception, and personality.
Analisis Pengaruh CAR, NPL, LDR dan BOPO Terhadap Profitabilitas Bank Umum di Indonesia Tahun 2019-2022
Authors: Pratama Arizal Putra , - Syamsurizal , Kurniasari Ratri , - Azwar
Published: August 2023

Pada masa pandemi Covid-19 selama tahun 2020-2022, kondisi perekonomian dunia tidak menentu, begitupun kondisi ekonomi di Indonesia. Kebijakan pemerintah yang membatasi aktivitas masyarakat untuk menekan penyebaran virus corona menjadi tantangan bagi bank di Indonesia untuk menjankan fungsinya sebagai badan usaha yang menghimpun dan menyalurkan dana masyarakat. Penelitian ini bertujuan untuk meneliti terkait pengaruh rasio CAR, NPL, LDR, dan BOPO terhadap profitabilitas bank umum di Indonesia selama tahun 2019­-2022. Pada tahun tersebut dapat terlihat kondisi sebelum pandemi yaitu tahun 2019, hingga ketentuan pembatasan aktivitas masyarakat dicabut, yaitu tahun 2022. Salah satu indikator di dalam penilaian kinerja bank adalah dengan menganalisis kondisi dari laporan keuangan bank tersebut. Analisis laporan keuangan dilakukan dengan mengalisis rasio keuangan yang akan mempengaruhi pencapaian laba dari sebuah bank. Laba merupakan tujuan utama dari seluruh aktivitas bisnis yang dilakukan oleh bank. Selama tahun 2019-2022, laba bank umum di Indonesia sempat mengalami penurunan pada saat tahun pertama pandemi Covid-19 menjangkit Indonesia. Namun, pada tahun-tahun selanjutnya, bank di Indonesia dapat beradaptasi dan berhasil meningkatkan perolehan labanya pada setiap tahunnya, hingga tahun 2022.
Pengaruh Kualitas Pelayanan dan Suasana Toko Terhadap Keputusan Pembelian Pada April Eyewear Jakarta
Authors: Aditya Fachri , Akbar Taufik
Published: August 2023

Tujuan penelitian ini adalah untuk menganalisis apakah terdapat pengaruh antara variabel kualitas pelayanan dan suasana toko terhadap keputusan pembelian produk kacamata April Eyewear. Penelitian ini diharapkan dapat menjadi bahan evaluasi dan pertimbangan bagi April Eyewear untuk memperbaiki kualitas pelayanan dan suasana toko, sehingga meningkatkan keputusan pembelian konsumen. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik penentuan sampel menggunakan metode accidental sampling. Jumlah sampel yang diambil sebanyak 87 responden. Pengujian instrument menggunakan uji validitas dan reliabilitas. Metode analisis data yang digunakan adalah regresi linear berganda, uji koefisien determinasi (R Square), uji T, dan uji F. Pengolahan data dalam penelitian ini dilakukan dengan menggunakan software SPSS 16 for windows. Berdasarkan hasil R Square 74,6% variabel kualitas pelayanan (X1) dan suasana toko (X2) mempengaruhi keputusan pembelian (Y) sedangkan sisanya 25,4% dijelaskan oleh faktor- faktor lain yang tidak disertakan dalam model penelitian ini.
Accumulation and allocation of dry matter and nutrients in brachiaria decumbens and ruziziensis in an intensive forage production system
Authors: Assis Wesley Oliveira de , Santos Dalmo de Freitas , Tenório Túlio Menezes , Soares Esly da Costa , Bhatt Rajan , Oliveira Mauro Wagner de
Published: August 2023

The objective of this study was to evaluate the accumulation and allocation of dry matter and nutrients by Brachiaria decumbens and ruziziensis, in three cuts, cultivated with an adequate supply of nutrients in the soil. The experimental design used was randomized blocks, with five replications, with plots consisting of five furrows of five meters in length, spaced 0.70 m apart. The average values of accumulation of Natural Matter (NM) and Dry Matter (DM) in the three cuts were, respectively, 41.0 and 6.53 t ha-1, every four weeks. There was no statistically significant difference (P≥0.05) between brachiaria; however, there was a significant effect (P≤0.05) of cutting time for forage production, since in the second cut the average production of the two brachiaria was 7.26 t of DM, surpassing in 11.77% the average of the first and third slices. In the average of the three cuts, the crude protein content of Brachiaria decumbens was 107.1 g kg-1, statistically higher than the crude protein content of Brachiaria ruziziensis (100.2 g kg-1). In the three cuts, high productivity of brachiaria decumbens and ruziziensis was observed in this intensive forage production system.
O estado da arte da cultura de tecidos vegetais e importância econômica desta área da biotecnologia para o Brasil
Authors: Malosso Milena Gaion , Barbosa Edilson Pinto
Published: August 2023

Este texto tem como objetivo verificar o estado de arte da cultura de tecidos vegetais e sua importância econômica para o Brasil. Para organizar as informações aqui contidas, durante o levantamento de dados, foi realizada uma pesquisa bibliográfica na plataforma Google Acadêmico, delimitada num período de 10 anos, usando palavras-chave como “cultura de tecidos vegetais”, “técnicas de cultura de tecidos vegetais” e “importância econômica da cultura de tecidos”. O tópico, a seguir, busca responder as seguintes questões: como se apresenta o estado de arte da cultura de tecidos vegetais? Qual é a sua importância econômica para o Brasil?
Apresentação
Authors: Brito Sabrynna De Oliveira
Published: August 2023

Caro leitor, é com muita satisfação que a Revista Núcleo do Conhecimento compartilha com você mais um compilado de informações atuais e inovadoras na área das Ciências Biológicas. Cada capítulo desse livro irá lhe proporcionar uma imersão no “velho mundo novo” da biologia de forma aplicada. Aqui, os autores trazem seu olhar científico e crítico sobre aspectos importantes e cotidianos da Ciência da Vida. Esta iniciativa visa difundir resultados e opiniões especializadas, compartilhar pensamentos e aproximar os membros da sociedade acadêmica e grupos de pesquisa. Estamos certos de que todas as contribuições aqui reunidas serão valiosas para seus estudos e formação intelectual e profissional. Sinta-se convidado a interagir com os autores e demais leitores, além de divulgar este material.
ВЕРБАЛІЗАЦІЯ КОНЦЕПТУ PRÄSIDENT DER UKRAINE WOLODYMYR SELENSKYJ У НІМЕЦЬКОМОВНИХ ЗМІ
Authors: СЕМЕНЮК Тетяна , БОНДАРЧУК Олена , ПАСИК Людмила
Published: August 2023

У науковій розвідці досліджено вербальну репрезентацію концепту PRÄSIDENT DER UKRAINE WOLODYMYR SELENSKYJ у німецькомовних ЗМІ. У роботі розрізняємо поняття макроконцепту та субконцепту. Субконцепт PRÄSIDENT DER UKRAINE WOLODYMYR SELENSKYJ виокремлено в рамках макроконцепту PRÄSIDENT. Усі компоненти концепту, які репрезентують його різні відтінки та ознаки є такими, які належать до його номінативного поля, структура якого має ядерну, приядерну та периферійну зони. Ядерна зона номінативного поля – це понятійна складова концепту, яка інкорпорує його дефініційні ознаки (Staatsmann, Staatsoberhaupt, Vorsitzender, Politiker, Schauspieler, Regisseur, Komiker), сюди ж відносимо повні синоніми концепту, виокремлені шляхом контекстуального аналізу статей, сайтів та словників-синонімів (Selenskyj, Präsident, Präsident der Ukraine, der ukrainische Präsident, der Ukraine-Präsident, Präsident Selenskyj, der ukrainische Präsident Wolodymyr Selenskyj). Приядерна зона характеризується наявністю неповних синонімів, до яких відносимо семантико-стилістичні та контекстуальні синоніми (Präsident im Krieg, Putins Gegenspieler, Putins Widersacher, Held, Verteidiger, medienbegabter Profi, talentierter Kommunikator, perfekter Frontmann, ehemaliger Komiker, ehemaliger Regisseur). Периферійна зона номінативного поля концепту включає у себе додаткові когнітивні ознаки, які є оцінними та інтерпретативними, тобто акумулюють додаткові нашарування на код мови, на кшталт концептуальних метафор (Gesicht des Landes, Ikone des Wiederstands, Supermann, Comic-Held, der biblische David). В результаті аналізу мовного матеріалу було встановлено, що лексичні засоби, які використовуються для вербалізації понятійного, образного та ціннісного компонентів концепту PRÄSIDENT DER UKRAINE WOLODYMYR SELENSKYJ належать, передусім, до емоційно-нейтральної лексики, яка включає в себе одиниці, характерні для публіцистичного дискурсу.
ПОЛІТИЧНІ ТА АДМІНІСТРАТИВНІ АСПЕКТИ ДЕРЖАВНОГО УПРАВЛІННЯ В СИСТЕМІ ЗАХИСТУ ПЕРСОНАЛЬНИХ ДАНИХ
Authors: Гамалюк Б. М.
Published: August 2023

Стаття присвячена дослідженню особливостей використання персональних даних під час впровадження концепції електронної держави. Актуальність вивчення цього питання полягає в тому, що відносини з приводу обробки та захисту персональних даних на міжнародному та національних рівнях, сьогодні сформовані в окремий публічний інститут міжнародної та національної політики. Настає епоха цифрових технологій, тому політичні та адміністративні напрями державотворення передбачають зміну нормативної бази, перегляд взаємодії владних структур, формування нових освітніх програм та оновлення і розширення парадигм суспільства. З’ясовано, що формування цифрової демократії у сучасних умовах зумовлює функціонування правових механізмів із адміністрування та захисту персональних даних, як обов’язкового елементу та юридичної гарантії у побудові системи електронного уряду (e-Government), електронної комерційної діяльності (e-Business), електронного здоров’я (e-Health), електронної освіти (e-Learning), електронної зайнятості (e-Employment), електронної наукової діяльності (e-Science), тощо. Таким чином, питання автономії особи та її приватності в багатьох аспектах залежить від доступу та можливості використання персональних даних. Крім того, загроза несанкціонованого використання персональних даних, із врахуванням діджиталізації, може призвести до порушення важливих суспільних відносин та нанесення значних матеріальних збитків, як державі в цілому так і окремій фізичній особі. Доведено, що публічно-правовий контекст сучасних інституційних вимог з приводу обробки і захисту персональних даних має змінюватися та вдосконалюватися, це також стосується і організаційної та функціональної системи органів публічної влади України. В зв’язку з цим має відбуватися зміна суспільної парадигми, стосовно цінності персональних даних, їх збереження та захисту, як важливого елементу побудови демократичної держави в інформаційному суспільстві.
Hemorragia suprarrenal espontánea en paciente en tratamiento con rivaroxabán
Authors: Garrido-Márquez Irene , Milena-Muñoz Ana
Published: August 2023

La hemorragia suprarrenal aguda suele estar asociada con una patología subyacente, la cual podría ser benigna o maligna, funcional o no funcional. Esta hemorragia, asociada a tratamiento con rivaroxabán es rara --únicamente se han reportado 113 casos en Europa--. Igualmente existen tratamientos que pueden inferir mayor riesgo a padecerla. Las pruebas de imagen como la TC son de elección para su diagnóstico y exclusión de otras posibles causas. En cuanto al tratamiento, se prefiere el manejo conservador inicial ya que permite la determinación del estado funcional y la cirugía electiva, si es necesario.
Taponamiento cardiaco en paciente con infección por VIH con adenocarcinoma de pulmón diseminado
Authors: García-Granado Juan Francisco , Almeida-González Cristian Carmelo , Santana-Ojeda Borja , Alonso-Ortiz María Belén , Artiles Jerónimo
Published: August 2023

Se expone un caso de un paciente con infección por VIH que ingresó en Medicina Interna por un síndrome constitucional asociado a síntomas de compresión de vías aéreas y digestivas y adenopatías latero-cervicales derechas, en contexto de una neoplasia cérvico-mediastínica diseminada de origen primario desconocido, cuyo diagnóstico definitivo se estableció por técnicas histopatológicas e inmunohistoquímicas. Durante su ingreso el paciente desarrolló un síndrome de Horner incompleto y un taponamiento cardiaco que se pudieron diagnosticar con la clínica y la ecografía a pie de cama respectivamente, demostrando la gran utilidad de esta herramienta diagnóstica en el reconocimiento precoz de condiciones médicas y complicaciones agudas asociadas.
Parálisis periódica tirotóxica: un desafío diagnóstico y terapéutico
Authors: Jelves-Muñoz Guido Ignacio , Benevento-Leyton Jordan
Published: August 2023

La parálisis periódica tirotóxica es una condición rara, frecuentemente subdiagnosticada y potencialmente mortal si no es reconocida y manejada adecuadamente. Se caracteriza por la debilidad muscular aguda reversible y recurrente, en estrecha relación con un desequilibrio de los niveles de potasio sérico en contexto de hipertiroidismo. Presentamos el caso de hombre de 30 años que consultó en nuestro hospital por debilidad muscular progresiva. El estudio subsecuente reveló la asociación con hipopotasemia severa y tiroiditis aguda.
Tuberculosis mamaria: reporte de caso clínico
Authors: Núñez-Suazo Siria Elizabeth , Cartagena-López Claudia Melissa , Akym-Lalin Dairon
Published: August 2023

El diagnóstico de tuberculosis mamaria es difícil y raro en Honduras, y a menudo erróneo si no se sospecha. La clínica y el diagnóstico por imagen no son específicos y se confunde frecuentemente con otras enfermedades. En Honduras y Centroamérica se han reportado casos verbalmente. El origen de esta enfermedad puede ser primario o secundario a un foco infeccioso, el cual puede encontrarse en vía hematógena, linfática, parrilla costal o pleura. Presentamos el caso clínico de una paciente de 36 años, con tuberculosis extrapulmonar que se manifestó comprometiendo tejido mamario. Diagnosticamos la tuberculosis con biopsia mamaria.
Leishmaniasis visceral en paciente inmunocompetente
Authors: Momeñe-Rojas Natalia , Pereda-Barroeta Javier , Villamandos-Tellaeche Edorta , Díaz-Fern´ández Mireia , Franco-Vicario Ricardo
Published: August 2023

La leishmaniasis es una enfermedad parasitaria causada por protozoos del género Leishmania. La leishmaniasis visceral o kala-azar es la forma más grave.  En España, la incidencia es baja y las formas severas generalmente se manifiestan en pacientes inmunodeprimidos. Para el diagnóstico es fundamental la sospecha clínica. A continuación, se presenta el caso de un varón de 35 años inmunocompetente y residente en Bilbao que fue diagnosticado de leishmaniasis visceral.
Mixofibrosarcoma: un diagnóstico infrecuente
Authors: Ulla-Anes Mariano , Palma-Huertas Elena , Pena-Burgos Manuela , Matarranz-del Amo Mariano , Torres-Macho Juan
Published: August 2023

El mixofibrosarcoma es una tumoración de estirpe mesenquimal propia de pacientes de edad avanzada que tiene un patrón infiltrativo predominante a nivel local. Precisa de una adecuada caracterización mediante resonancia magnética nuclear (RMN) y biopsia por aguja gruesa (BAG), así como un equipo multidisciplinar para su tratamiento. Presentamos el caso de una paciente de 85 años con una masa indolora a nivel del muslo derecho que ingresó en el Servicio de Medicina Interna para tratamiento inicial por una infección respiratoria condensante. Finalmente se hizo un estudio de extensión y fue diagnosticada de mixofibrosarcoma.
Application of The Haversine Method In The Android-Based Donation Search Application
Authors: Daniel Daniel , Lasut Desiyanna
Published: August 2023

Used goods that we no longer use will only fill the room which if we leave it will be damaged and have no use value because it consumes time. If given to someone else, the goods may still be useful and can help their lives the problem is how we find people who need our goods and vice versa. For this reason, a system is needed that can help facilitate and bring the two parties together. The effort made to make it easier for the recipient to contribute in taking the donated goods is to use the haversine method so that the recipient can consider the distance between them and the donated item. The haversine formula is an equation that uses latitude and longitude to find the distance between the two different points. By using the haversine formula, the output is the distance from the location of the party receiving the donation (current location) to the donor. Therefore, the author wants to create and design an android-based application so that it can reach many people and can make it easier for donors to donate their goods or for the recipient of donations in looking for items that have been donated.
The Implementation of ORESTE using Basson Rank for Selecting The TOEFL Preparation Courses in Yogyakarta
Authors: Astuti Femi Dwi , Revianti Siska Lidya
Published: August 2023

TOEFL is one of the most frequently used international standardized tests for registering for masters and doctoral degrees, seeking study scholarships or for promotions. Unfortunately, there are still many students and employees who still experience difficulties in taking the TOEFL test. This is what then becomes the reason for them to take English courses, especially to prepare themselves for preparing the TOEFL test. Yogyakarta, which has the title of "Student City", has many campuses and many English courses that offer the TOEFL Preparation Course. There are many types of TOEFL formats and many TOEFL Preparation Programs are offered by English courses in Yoggyakarta. The TOEFL Preparation courses has various programs including different price, teacher competencies, and facilities. In this study, the ORESTE method was used to help the people determining the best course according to its ranking. This method is one of the Multiple Attribute Decision Making (MADM) methods used to find alternatives using predetermined criteria and preference weights. The criteria used are price, instructor, materials, facilities and location. The results showed that the best TOEFL course ranking/order alternative was A16 with a preference score of 3.9425 and the course with the lowest score was A4 with a score of 9.878177.
Design a Web-based Education Development Contribution Payment Application at SDIT Tahfidz Bintangku
Authors: Susanto Heri , Syavitri Viaricha Sherly , Yanto Dwi , Karyono
Published: August 2023

Improving services to facilitate the management and monitoring of billing and payment of SPP (Education Development Contribution) in educational institutions must get serious attention because the quality of educational institutions is greatly influenced by the availability of adequate payment management.  The research method used in application development uses the waterfall method. The application developed is web-based using the Laravel 9 framework with a combination of design with boostrap so that it is more responsive and uses the Mysql database. The results of the developed application are able to assist the treasurer and student guardians in managing, provide convenience for students and parents in making payments online, reduce the need to queue at physical payment counters, save time and energy, make it easier for treasurers and parents to track payment history, can verify transactions that have been made and ensure that no payment transactions are left behind, make it easier for schools to manage financial recording processes and payment processing to be more organized and controlled quickly.
Implementation of Face Mask Detection Using Phyton Programming Language
Authors: Ceng Giap Yo , Erviana
Published: August 2023

Since the beginning of the pandemic in 2019, people in Indonesia have been required to wear masks. Although until now the pandemic has ended, the need to use masks is still very much needed such as to maintain health, avoid air pollution and others. In detecting mask users, an application is needed that can help human work. Currently, the Python programming language is widely used to build applications in the field of computer vision, one of which is this face mask detection application. This application will detect mask users, whether they are wearing a mask or not. This developed application uses the Yolo model using the Face Mask Detection dataset developed by Larxel, where the Yolo model can work on the dataset provided. The test results show that the Yolo model can recognize mask users with an accuracy value above 90%. The second experiment was carried out to detect several faces of mask users, the Yolo model can recognize mask users or not with an average accuracy value of 91.75%. For future research, it is also expected to use other models besides Yolo and make comparisons of several models and make improvements to the problems that exist in each model and use real time data.
Interpreting Uncertainty in Model Predictions in Bayesian Neural Networks for COVID-19 Diagnosis
Authors: Murugamoorthy Gayathiri
Published: August 2023

COVID-19, due to its accelerated spread has brought in the need to use assistive tools for faster diagnosis in addition to RT-PCR. Chest X-Rays for COVID cases tends to show changes in the lungs such as ground glass opacities and peripheral consolidations which can be detected by deep neural networks. However their point estimate nature and lack of capture of uncertainty in the prediction makes it less reliable for healthcare adoption. There have been several works in the interpretability of point estimate deep neural networks. However very limited work has been found oninterpretinguncertaintyin a COVID prediction and decomposing this to model or data uncertainty. To mitigate this we compute uncertainty in predictions with a Bayesian Convolutional Neural Network and develop a visualization framework to address interpretability. This framework aims to understand the contribution of individual features in the Chest-X-Ray images to predictive uncertainty. Providing this as an assistive tool can help the radiologist understand why the model came up with a prediction and whether the regions of interest captured by the model for the specific prediction are of significance in diagnosis. 
Classification of Thoracic Pathologies Including COVID-19 in Chest X-ray Images by Using Convolutional Neural Networks
Authors: Vajar Pooyan
Published: August 2023

    

The COVID-19 pandemic has made an enormous impact on countries around the globe. One of the best approaches for tackling complications associated with COVID-19 and other thoracic pathologies is early detection of the diseases. In this work, seven convolutional neural network models for classification of chest X-ray images from four classes (COVID-19 vs lung opacity vs normal vs viral pneumonia) are developed and evaluated. The models were built without utilizing transfer learning. The best performing model is a 5-layer convolutional neural network that achieves a classification accuracy of 90.69% with a recall and precision of 91.25% and 92.03% across the four classes. 
Cardiac Arrhythmia Classification Using Wavelet Analysis of Electrocardiograms
Authors: Malhotra Nripendra
Published: August 2023

Cardiac Arrhythmias are heart rhythm abnormalities that seriously impact the quality of life and can be lethal. Four major types of cardiac arrhythmia that originate from atria and ventricles are atrial flutter (AFL), atrial fibrillation (AF), ventricular tachycardia (VT), and ventricular fibrillation (VF). Annually about 50,000 embolic strokes mostly due to AF and 35,000 sudden cardiac deaths mostly due to VF are reported in Canada. Accurate detection and segregation of these arrhythmia swiftly is an essential requirement for appropriate treatment. Automating this process is especially critical and valuable for implantable devices and long-term monitoring scenarios. 

In this thesis, with the above motivation, we analyzed the electrocardiograms (ECGs) recorded during these 4 types of arrhythmia using wavelet transform. A total of 100 ECG segments con- taining 25 ECG segments each for AF, AFL, VT and VF, obtained from well-known open source databases were used in this study. Discriminative features were extracted from the wavelet coefficients and fed to a linear discriminant analysis based classifier. Based on the proposed scheme, best classification accuracies using library wavelets and adaptive continuous wavelets (ACW) are as follows: (i) for four group classification, Paul CW and A-pattern ACW attained 77% and 81% respectively, (ii) for the two group classification of AA, Paul CW and M-pattern ACW attained 76% and 86% respectively, (iii) for the two group classification of VA, Bump CW and M-pattern ACW attained 92% and 94% respectively. 
Channel Optimization Modeling and Hybrid Beamforming for Fifth-Generation Millimeter-Wave V2V Communications
Authors: Sheikh Muhammad
Published: August 2023

Massive multiple-input multiple-output (MIMO) systems combined with beamforming antenna array technologies is playing a vital role in 5G and beyond communication systems. 5G com- munication is characterised by high bandwidth, low latency and high reliable communication and is a key factor to enable Vehicle to Vehicle (V2V) communication. 

In this thesis project, we simulate one of the applications of V2V ecosystem i.e vehicles com- municating with other vehicles. For brevity, a single scenario where one vehicle is stationary and the other vehicle is either moving towards or away from the stationary vehicle is considered for experiments. Initially, a framework based on single user MIMO-OFDM hybrid beamforming system operating at mmWave frequency of 28 GHz was established. Thereafter a precoding process is established using Orthogonal Matching Pursuit (OMP) Algorithm that enables the transmitter to provide near optimum beamforming gain and directivity to the transmitted signal. 

Next, a simulated scenario of a receiver moving at a constant speed communicating with a transmitter is implemented. We provide simulation results of the radiation pattern emitted by the transmitter for different receiver trajectory points. Radiation pattern is analysed in terms of E-field, power and directivity. Bit error rate and RMS EVM of the received signal was evaluated and benchmarked together with Doppler frequency shift waveform to show the frequency variation in received signal strength with distance 
Progressively Growing of Least Squares Generative Adversarial Networks
Authors: Mansour Sharif
Published: August 2023

In the past decade, generative models have seen exponentially use in the world of computer vision. One architecture that has consistently contributed to this domain is generative adversarial networks. These networks can produce outstanding results and very realistic appearing images. They do not however come without their downfalls, as they tend to be extremely unstable when training for resolutions beyond 64x64. As a result, several solutions have been proposed to combat stability and other issues found during training such as a lack of variation in images produced. The first set of solutions focus on using a variety of different loss functions such as the Wasserstein distance loss function or the least squares loss function. While other solutions propose altering the architecture used or even the training methodology which the networks undergo. To build upon the success of other solutions this paper will propose an architecture which grows during training to allow for high resolution images to be produced. This solution will combine the efforts of multiple other ones while also contributing novel changes to the GAN architecture. As an outcome, this report will showcase the new proposed approach and its ability to produce comparable results to other state-of-the-art solutions. 
Recent, rapid restructuring of North American bumble bee communities is associated with climate warming
Authors: Hemberger Jeremy , Williams Neal
Published: August 2023

A rapidly warming climate has become one of the primary forces driving changes in biodiversity worldwide. The impact of warming temperatures on insect communities is of particular interest given their importance for ecosystem function and service provision and the uncertainty around whether insect communities can keep pace with the rate of increasing temperatures. We use a long-term dataset on bumble bee species occurrence and data on summer maximum temperature trends across North America to characterize community-level responses to recent climate warming. Bumble bees are relatively well recorded historically and are sensitive to warming temperatures. We examined responses using the community temperature index (CTI) – a measure of the balance of cool- and warm-adapted species within local communities. Starting in 2010, bumble bee average CTI across North America has rapidly increased after a period of slight increase from 1989 to the late 2000s. This increase is strongly associated with recent increases in maximum summer temperatures. The increase in CTI is spatially extensive, occurring throughout North America, but the areas of greatest concern include mid to high latitudes as well as low and high elevations - areas relatively shielded from other intensive global changes (e.g., land-use). On average, bumble bee CTI has increased 0.99°C from 1989 to 2018, a change of similar magnitude to the increase in maximum summer temperatures. The rapid shift in bumble bee communities appears to be at pace with shifting summer temperatures, with an approximate, equivalent northward shift of ~104 km from 1989-2018 for both. This indicates an adaptive capacity among some bumble bee species. However, warming temperatures are also likely reducing the occurrence and local abundance of cool-adapted species that may serve important ecological roles within their range. Our results provide strong evidence of the pervasive impacts posed to insect communities by temperature increases in the past few decades.
Design of Error Code Guide System on Wincor Nixdorf ATM Machine for CMD Controller Part Based on Mobile Application
Authors: S Usanto
Published: August 2023

The machines must have an identity to categorize these machines that are starting to circulate in the Indonesian market. The identity of these machines is determined by the Serial Number (SN) on the machine. For machines manufactured in 2015, the machine has the identity of "Mesin dengan SN 56DW5." Moving on to 2016, the machine's identity changed to "SN 56HG6," while the machine type remained the same, which is Procash 280. Given the various types of Procash 280 machines, engineers sometimes struggle to decipher the codes on Wincor Nixdorf ATM machines. The method employed by the author in analyzing the SSI Net system involves data collection through literature review and field studies, alongside Software System Development using the Waterfall Method. The author conducted a feasibility test, which included a Technology Feasibility Test for the error code application. The necessary facilities for creating the Error Code Application were available, such as a Toshiba Satellite C-40 Laptop with Windows 10 Pro, Intel Core ™) i3-3110 M CPU @ 2.40 GHz Processor, 4.00 GB RAM, and a 64-bit Operating System. The Operational Feasibility is evident in engineers being able to install the application whenever and wherever using the provided APK. Additionally, the application's instructions are in Indonesian to accommodate new engineers joining the company. The designed system consists of two components: the Master Data Error Code and the output produced. The Master Data Error Code employs a two-digit number to provide results within this application, both for CMD Error Codes and Screen Error Codes. The application's output features two displays: one in English and the other in Indonesian. The author suggests adding additional menu options to the application to further assist users in finding solutions.
Detection of Bangladeshi-Produced Plant Disease Using a Transfer Learning Based on Deep Neural Model
Authors: Hasan Tareq , Siddiki Marjuk Ahmed , Hossain Md Naim
Published: August 2023

Plant diseases pose a significant threat to agricultural productivity and food security in Bangladesh. In this research, we address the challenge of timely and accurate plant disease detection through the application of transfer learning with deep neural models. We curated a diverse dataset comprising 18 categories of plant leaf images, including Bell pepper Bacterial spot, Bell pepper Healthy, Peach Healthy, Potato Early Blight, Rice Leaf Blast, Rice Healthy, Rice Brown Spot, Potato Healthy, Peach Bacterial spot, Corn Blight, Potato Late blight, Corn Healthy, Tomato Bacterial spot, Strawberry Leaf Scorch, Tomato Early blight, Tomato Early blight, Strawberry Healthy, and Tomato Healthy. The dataset represents the most prevalent plant diseases observed in the Bangladeshi context. We employed three state-of-the-art deep learning algorithms, EfficientNetV2M, VGG-19, and NASNetLarge, to develop robust plant disease detection models. Through transfer learning, these pre-trained models were fine-tuned on our specialized dataset to adapt them for the task at hand. The performance evaluation revealed impressive results, with EfficientNetV2M achieving an accuracy rate of 99%, VGG-19 achieving 93%, and NASNetLarge attaining 83% accuracy. The high accuracy of EfficientNetV2M showcases its exceptional capability in accurately classifying plant diseases prevalent in Bangladesh. The success of these deep neural models in detecting various plant diseases signifies their potential in revolutionizing plant disease management and enhancing agricultural practices. Our research contributes valuable insights into the effective use of transfer learning for plant disease detection and emphasizes the significance of dataset curation for improved model performance. The developed models hold promise in providing timely and precise disease diagnosis to farmers and agricultural professionals, thereby facilitating prompt interventions and minimizing crop losses. Future research can explore the integration of these deep neural models into practical agricultural tools, enabling real-time disease detection and offering substantial benefits to the agricultural industry in Bangladesh.
The Multivocality of Covid-19 Pandemic: A Reflection of Social Representations from Presidential Speeches in Tanzania
Authors: Malima Masatu Julius , NGAIZA ASTERIA
Published: August 2023

The study investigated how news of the Covid pandemic has been constructed and shared among the common public. The study assessed whether presidential speeches or discursive others influenced the nature of their discursive constructions on mitigation measures. The study employed participants from the four major cities of Tanzania. A sample size of 60 respondents was purposively selected. The data for this study were qualitatively analysed. The study used Social Representation Theory (SRT) to guide the study on how the public received the pandemic news. The study also assessed how the presidential speeches or discursive others influenced the nature of their discursive construction on mitigation measures. The findings showed that discursive constructions and sharing of the pandemic news among the public were constructed around the polysemous definition of Covid-19 as normal flues, asthma and complicated diseases. Results showed that presidential speeches positively influenced audiences' panic relief and raised self-consciousness. On the other hand, presidential speeches negatively influenced the audiences to delay responses and downplay the pandemic self-consciousness. This study recommends that political leaders need to consider their discourse choices when addressing global issues, as the public trusts people in power.
Competency of Muslim Doctors
Authors: Mutmainnah  , Algristian Hafid , Azizah Nur
Published: August 2023

Background: In the medical profession, a doctor will often be faced with situations of uncertainty to make the right decisions and diagnoses. In this case, making a Muslimdoctor to be able to have a good impact on patients. A Muslim doctor is expected to be able to implement professional and reliable competencies in the future. In facing the future, with all the challenges in the medical world, ethical principles, moral values and good competence are needed in order to be able to provide the best health services by minimizing risks and side effects, and prioritizing greater benefits so as not to harm doctors as service providers, and patients as recipients of health services.Objective: This study aims to learn more about the definition and principles of medical ethics, muslim doctor competence, and Islamic medical moral values.Methods: The article source in the same field was compiled. Through a several literature search of reputable journals wich maximum published in the past 10 years.Result: Several article was found, and all the article said the moral values in Islamic medicine are closely related to the personality of Muslim Doctors.Conclusion: The guidelines for islamic medical ethics as muslim are Qur’an, Hadist, Ijma’ and Qiyas. The four main moral principles for be a good doctor are the principle of autonomy, beneficence, non-maleficence, and the principle of justice. The competence of Muslim doctors has a close relationship with ethical principles, moral values, and law. The moral values of muslim doctors includes self-awareness, such as awareness of fitrah (inne-rself) and social awareness as caliph (external-self-awareness).
Intracerebral Hemorrhage-Grading Scale (ICH-GS) Score as a Prognosis Prediction of Spontaneous Intracerebral Hemorrhage at Rumah Sakit Islam Surabaya Jemursari
Authors: Aulia Nurlisa Naila , Syifak Shobihatus , Yuniati Dyah , Alam Ilham Putera , Surya Prima Ardiansyah
Published: August 2023

Background: Spontaneous intracerebral hemorrhage or hemorrhagic stroke is one of the leading causes of mortality and disability in Indonesia, but until now there is no specific therapy for this disease. The intracerebral hemorrhage (ICH) score is a widely used predictive tool for the prognosis of death 30 days after spontaneous intracerebral hemorrhage, but the intracerebral hemorrhage-grading scale (ICH-GS) score has a more specific interval to assess the prediction of the prognosis after intracerebral hemorrhage. Rumah Sakit Islam (RSI) Jemursari Surabaya has not carried out data collection related to the ICH-GS score with the outcome (death) of patients with spontaneous intracerebral hemorrhage, especially while still receiving hospital treatment.
Objective: To identify the number of ICH-GS scores in patients with spontaneous intracerebral hemorrhage as a predictor of prognosis at RSI Jemursari Surabaya.
Method: The type of this research is retrospective research. The population comprised of all patients with spontaneous intracerebral hemorrhage hospitalized at RSI Jemursari Surabaya in 2017-2019, with affordable population of all patients with spontaneous intracerebral hemorrhage diagnosed by a neurologist.
Results: The data showed that 5.5% (6 people) had an ICH-GS score of 5; 38.2% (42 people) had an ICG-GS score of 6; 21.8% (24 people) had an ICH-GS score of 7; 20 % (22 people) had an ICH-GS score of 8; 5.5% (6 people) had an ICH-GS score of 9; 4.5% (5 people) had an ICH-GS score of 10; 3.6% (4 people) had an ICH-GS score of 11; and 0.9% (1 patient) had an ICH-GS score of 12.
Conclusions: The results of the ICH-GS score can be used to facilitate communication both with fellow health workers and with the patient's family. Trend of the data showed that ICH-GS score is not consistent in showing the prognosis of spontaneous intracerebral hemorrhage (the smaller the ICH-GS score should have better prognosis than the higher score), while the information based only on volume and location can predict the prognosis more consistently`.
Kegiatan Upaya Pencegahan Dini Dan Segera Obati Pada Masyarakat Dengan Pemanfaatan Bahan Alam Sebagai Warisan Budaya Bangsa
Authors: Noordam Errol Rakhmad , Nurlaeli Leli
Published: August 2023

Obesitas merupakan kondisi seseorang yang memiliki angka berat badan diatas angka berat idealnya(1). Seseorang dengan IMT 30 kg/m² atau lebih umumnya dianggap obesitas, jika IMT25 – 29,9 kg/m² disebut pre obesitas. Untuk orang Asia, BMI diatas 25 kg/m² termasuk obesitas(2). Masyarakat Indonesia terbiasa mengonsumsi karbohidrat berlebih. Nasi tetap menjadi makanan utama yang memiliki indeks glikemik (IG) yang tinggi sehingga cepat menaikan glukosa dalam darah, sedangkan mie, ubi, dan roti sebagai makanan selingan(3). Pengabdian Masyarkat PS Sarjana Farmasi ini untuk memberikan informasi dan edukasi kepada masyarakat tentang obesitas dan penangannannya dari seduhan daun tin sebagai anti-obesitas dari bahan alam.
Edukasi Tentang Diabetes Melitus dalam Mempersiapkan Hidup Berkualitas di Masa Usia Lanjut Melalui Kulwap (Kuliah Whatsapp)
Authors: Febrianti Thresya , Sabilla Mizna , Ariasih RR Arum , Mustakim Mustakim , Efendi Rusman
Published: August 2023

Prevalensi diabetes di Indonesia merupakan peringkat ke-7 di Dunia. Salah satu faktor risiko kejadian diabates adalah rendahnya pengetahuan terkait diabaetes, sehingga perlu dilakukan pendidikan kesehatan dengan menggunakwan media informasi yang mudah dan menarik salah satunya menggunakan Whatsapp. Tujuan dilakukan pengabdian masyarakat ini untuk memberikan edukasi terkait faktor risiko diabates, dan upaya pencegahan diabetes. Metode yang digunakan pada kegiatan ini dengan menggunakan media informasi melalui whatsapp. Pemateri memberikan informasi kepada peserta dalam bentuk gambar dan tulisan, kemudian setelah pemaparan materi dilakukan diskusi dengan peserta. Peserta dalam kegiatan ini adalah suatu komunitas yang bernama CDC bertempat di Kelurahan Cinangka, Sawangan, Depok. Kegiatan dilakukan dengan memberikan materi tentang diabetes melalui Kuliah Whatsapp (Kulwap). Hasil analisis menunjukkan terjadi peningkatan pengetahuan peserta setelah diberikan Kulwap. Pemberian pendidikan kesehatan melalui media sosial seperti whatsappperlu terus dilakukan karena dapat meningkatkanderajat kesehatan masyarakat, selain itu juga dapat dilakukan dengan mudah dan tidak perlu mengumpulkan orang banyak terutama dalam masa pandemi sekarang ini.