bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Colonialism: The 21st Century Scramble for Africa through the Extraction and Control of User Data and the Limitations of Data Protection Laws
Authors: Coleman Danielle
Published: March 2022

As Western technology companies increasingly rely on user data globally, extensive data protection laws and regulations emerged to ensure ethical use of that data. These same protections, however, do not exist uniformly in the resource-rich, infrastructure-poor African countries, where Western tech seeks to establish its presence. These conditions provide an ideal landscape for digital colonialism.

Digital colonialism refers to a modern-day “Scramble for Africa” where largescale tech companies extract, analyze, and own user data for profit and market influence with nominal benefit to the data source. Under the guise of altruism, large scale tech companies can use their power and resources to access untapped data on the continent. Scant data protection laws and infrastructure ownership by western tech companies open the door for exploitation of data as a resource for-profit and a myriad of uses including predictive analytics.

One may believe that strengthening data protection laws will be a barrier to digital colonialism. However, regardless of their relative strength or weakness, data protection laws have limits. An analysis of Kenya's 2018 data protection bill, the General Data Protection Regulation (GDPR), and documented actions of largescale tech companies exemplifies how those limits create several loopholes for continued digital colonialism including, historical violations of data privacy laws; limitations of sanctions; unchecked mass concentration of data, lack of competition enforcement, uninformed consent, and limits to defined nation-state privacy laws.
Incorporating Social Justice into the 1L Legal Writing Course: A Tool for Empowering Students of Color and of Historically Marginalized Groups and Improving Learning
Authors: Crichton Sha-Shana
Published: March 2022

The media reports of police shootings of unarmed Black men and women; unprovoked attacks on innocent Jews, Muslims, religious minority groups, and LGBTQ persons; and current pervasive, divisive, and misogynistic rhetoric all cause fear and anxiety in impacted communities and frustrate other concerned citizens. Law students, and especially law students of color and of historically marginalized groups, are often directly or indirectly impacted by these reports and discrimination in all its iterations. As a result, they are stressed because they are fearful and anxious. Research shows that stress impairs learning and cognition. Research also shows that beneficial changes are made in the brain, and learning and cognition improve when students are empowered and motivated by their lessons. Incorporating issues of social justice into the first-year legal writing course benefits all students by equipping them with the knowledge and practical skills to address issues of social injustice and to affect social change. Incorporating issues of social justice into the first-year legal writing course has the added benefit of contributing to a learning environment that permits law students of color and of historically marginalized groups to learn more successfully by reducing stress, altering their perception of control over psychosocial stressors, building positive emotions, increasing confidence, and motivating them to learn.
Influence of a trailer with a rigid drawbar on the distribution of the load along the axles of the vehicle
Authors:   Nabiev I.S. Nuretdinov D.I.
Published: March 2022

Requirements for vehicles to limit the permissible axle load are increasing and are being monitored more with automatic detecting devices. In this regard, in some types of road train layouts, there are risks of exceeding the standard values of axle loads. One of such combinations of road trains are vehicles with trailers with rigid drawbars. This article discusses the distribution of the load on road trains with trailers with a rigid drawbar, a model is presented that allows uniform loading of the road train.

Keywords: coefficient of influence of the trailer, towing hitch, axle load of the vehicle, carrying capacity, utilization factor of carrying capacity, location of the load
Economic assessment of the use of natural gas on commercial automobile transport when transporting bread in Omsk
Authors:   Banket M.V. SHapoval D.V. Voytenkov S.S.
Published: March 2022

The article presents the results of the analysis of scientific research on the use of compressed natural gas in road transport. The reasons limiting the widespread use of this type of motor fuel are considered. For the efficient operation of commercial vehicles running on compressed natural gas, it is important to take into account the relative position of the existing filling stations and the locations of the enterprises’ vehicles. When calculating the payback period and fuel costs of a truck for operation on compressed natural gas, the mileage to the refueling point is not taken into account, which reduces the economic efficiency of using CNG. In the present study, a mathematical model has been developed and tested for determining the operating costs of fuel depending on the mileage from the parking place of trucks to the place of refueling.

Keywords: road transport, compressed natural gas, autogas filling compressor stations, fuel costs, mileage to the place of refueling
Analisis Dan Perancangan Jaringan Akses Dengan Media Transmisi Fiber Optic Single Mode Di Fakultas Teknik Universitas Sriwijaya Kampus Palembang
Authors: Puspa Kurniasari  , Muhammad Ardiansyah
Published: March 2022

Perancangan desain jaringan FTTx pada Fakultas Teknik Universitas Sriwijaya kampus Palembang dilakukan dengan membuat skema jaringan dan pembagian jalur. Setelah dilakukan perancangan skema dan pembagian jalur maka disimulasikan dengan Optisystem lalu dilakukan perhitungan Power Link Budget, Rise Time Budget dan Bit Error Rate (BER). Dengan cara melakukan perhitungan nilai redaman kabel fiber optic G 652.D yang dapat mempengaruhi pelemahan daya yang terjadi, hasil yang didapat pada gedung Jurusan Fakultas Teknik sebesar -10.4809 dB dengan hasil simulasi -8.894 dB, gedung Teknik Bukit Asam sebesar -10.489 dB dengan hasil simulasi - 8.902 dB, gedung Teknik Kimia sebesar -10.493 dB dengan hasil simulasi -8.906 dB, gedung Teknik Mesin sebesar - 10.4931 dB dengan hasil simulasi -8.906 dB, gedung Teknik Pertambangan sebesar -10.4939 dB dengan hasil simulasi -8.907 dB, gedung Teknik Sipil sebesar -10.495 dB dengan hasil simulasi -8.908 dB, gedung Teknik bagian Akademik sebesar -10.4951 dB dengan hasil simulasi -9.230 dB, gedung Dekanat Teknik I sebesar -10.512 dB dengan hasil simulasi -9.248 dB, gedung Teknik Geologi sebesar -10.523 dB dengan hasil simulasi -9.257 dB. Simulasi dan perhitungan pada perancangan ini didasari dari pengambilan data pada perusahaan UPT TIK di kampus Universitas Sriwijaya. Hasil perhitungan Rise Time Budget untuk link λ= 1310 nm didapat sebesar 49,49 ps dimana untuk perhitungan rise time budget pada kabel singlemode, parameter yang digunakan yaitu rise time transmitter, rise time receiver , serta tintra. Sehingga dapat mengetahui hasil dari Bit Error Rate (BER) pada suatu jaringan yang menunjukan nilai 10-9.
Perhitungan Kuat Medan Listrik di Bawah Saluran Transmisi 150 kV Menggunakan Metode Kawat Bayangan
Authors: Rio Yusdizali  , Dinda Sintia Dewi  , Dewi Amalia  , Egey Swandy Julian  , Dhimas Prabowo  , Seiga Alghifari  , Muhammad Abu Bakar Sidik
Published: March 2022

Saluran transmisi udara tegangan tinggi merupakan bagian penting yang tidak dapat dipisahkan dari jaringan kelistrikan. Untuk tujuan efisiensi maka diperlukan jarigan transmisi bertegangan tinggi. Saat ini jaringan transmisi di Pulau Sumatera menggunakan dua tegangan berbeda yaitu 150 kV dan 275 kV. Saluran udara tegangan tinggi ini mengakibatkan munculnya radiasi gelombang elektromagentik yang menyebar di sekitar saluran transmisi. Karena radiasi ini berada dalam frekuensi gelombang radio, maka ia dapat mengakibatkan terpengaruhnya kinerja peralatan yang berada di sekitar saluran transmisi tersebut. Dalam materi pembelajaran Mata Kuliah Teknik Tegangan Tinggi mahasiswa diberikan pemahaman tentang adanya medan listrik yang diakibatkan oleh saluran tegangan tinggi. Salah satu metode yang dapat digunakan untuk menghitung besarnya medan listrik yang terjadi karena adanya sumber tegangan tinggi adalah dengan Metode Kawat Bayangan. Walaupun secara teori metode ini sudah banyak dijelaskan, akan tetapi visualisasi secara tiga dimensi berdasarkan hasil perhitungan menggunakan Metode Kawat Bayangan belum ditemukan pada buku- buku rujukan Teknik Tegangan Tingi. Makalah ini memaparkan hasil perhitungan kuat medan listrik di bawah saluran transmisi 150 kV menggunakan komputer yang selajutnya digambarkan dalam bentuk grafik tiga dimensi.
PEMODELAN DINAMIK DAN SIMULASI KARAKTERISTIK RESPON MICRO STEAM TURBINE DENGAN SIMULINK
Authors: Rahmat Bayu Setiawan  , Khairudin  , Lukmanul Hakim  , Noer Soedjarwanto
Published: March 2022

Sumber energi listrik di Indonesia menggunakan beberapa sumber pembangkit energi listrik yaitu bahan bakar fosil dan energi terbarukan. Dalam prosesnya, energi listrik dihasilkan melalui penggerak mula yang dikopelkan dengan generator untuk menghasilkan energi listrik. Micro steam turbine termasuk penggerak mula yang merupakan mesin tenaga atau mesin konversi energi dimana hasil konversi energinya dimanfaatkan mesin lain untuk menghasilkan daya. Micro steam turbine dikembangkan untuk proses pembangkitan daya karena faktor efisiensi dan tingkat harga yang rendah. Simulasi dilakukan dengan menggunakan pemodelan Simulink MATLAB R2018b. Simulasi dilakukan dengan membuat blok simulink microsteam turbine, blok transmisi dan blok infinite bus, lalu membuat skenario pada beban yang berbeda-beda, baik beban resistif, beban kompleks dan saat terkena gangguan. Dari beberapa simulasi yang dilakukan, baik saat percobaan jumlah beban yang berubah-ubah ataupun sistem kehilangan pembangkit, parameter sistem pembangkitan seperti frekuensi, daya aktif, daya reaktif, tegangan dan kuat arus sistem menggunakan inlet steam pressure 125 to 15 psig dengan kapasitas mesin 275 kW. Karakteristik frekuensi beban resistif menunjukkan frekuensi yang terukur bernilai 50,16 Hz pada waktu 5,027 detik dari frekuensi sebelumnya yang bernilai 50 Hz, lalu berosilasi selama 2,441 detik dan kemudian stabil pada waktu 7,468 detik dengan frekuensi kembali bernilai 50 Hz. Karakteristik daya aktif beban resistif menunjukkan penurunan nilai daya aktif dari sebelumnya 4,988 kW menjadi 0,2132 kW pada waktu 5,028 detik, lalu berosilasi selama 0,262 detik dan pada waktu 5,29 detik daya aktif berada dalam keadaan stabil kembali pada nilai 0,1378 kW. Karakteristik daya reaktif menunjukkan nilai 18,35 Var pada waktu 5,016 detik dan mengalami penurunan dengan nilai -404,9 Var dari yang sebelumnya bernilai 1,297 kVar, lalu berosilasi selama 0,357 detik dan kembali stabil pada nilai yakni -235,4 Var pada waktu 5,373 detik. Karakteristik tegangan pada waktu 5,005 detik, mengalami kenaikan tegangan sebesar 1,711 pu dan kemudian berosilasi selama 0,273 detik dan kembali berada pada kondisi stabil pada nilai tegangan sebesar 0,9998 pu pada waktu 5,278 detik. Karakteristik arus menunjukkan nilai arus sebesar 350,8 A pada waktu 5,009 detik, lalu berosilasi selama 0,399 detik dan berada dalam keadaan stabil pada waktu 5,408 detik dengan nilai 198,5 A.
Sistem Prediksi Penyakit Jantung Menggunakan Metode Naive Bayes
Authors: Dimsyiar M Al Hafiz  , Khoirul Amaly  , Javen Jonathan  , M Teranggono Rachmatullah  , Rosidi
Published: March 2022

Penyakit jantung adalah salah satu penyakit yang banyak memakan korban jiwa. Penyakit ini mengancam semua usia. Berbagai faktor dapat menjadi tolak ukur seseorang mengidap penyakit jantung. Machine learning adalah subdivisi yang muncul dari kecerdasan buatan. Fokus utamanya adalah merancang sistem, memungkinkan mereka untuk belajar dan membuat prediksi berdasarkan pengalaman. Ini melatih algoritma pembelajaran mesin menggunakan kumpulan data pelatihan untuk membuat model. Model menggunakan data input baru untuk memprediksi penyakit jantung. Faktor-faktor tersebut dapat diklasifikasikan menggunakan metode Naive Bayes. Eksperimen simulasi dilakukan untuk melihat apakah sistem yang dibangun menggunakan metode Naive Bayes mampu untuk memprediksi apakah seseorang mengidap penyakit jantung. Berdasarkan eksperimen data uji berjumlah 61 data, 52 diantaranya terprediksi benar dengan nilai keakuratan sebesar 85,25%. Ke depannya diperlukan sistem prediksi penyakit jantung menggunakan metode klasifikasi lain agar dapat ditemukan metode yang paling akurat dan efektif.
Perancangan Aplikasi Otomatisasi Menggunakan Bahasa Pemrograman Python Pada Aktivitas Monitoring Pemakaian Data Harian Kartu Internet Of Things
Authors: Jaka Naufal Semendawai  , Indah Febiola  , Bima Pamungkas  , Muhammad Deka Ruliansyah
Published: March 2022

Pada generasi ini, aktivitas monitoring sudah menjadi sebuah keperluan dalam sebuah perusahaan. Banyak sekali perusahaan yang melakukan aktivitas monitoring setiap harinya. Monitoring sendiri merupakan sebuah kegiatan memantau serta mencatat data yang didapatkan dari sebuah penggunaan alat, dalam penelitian ini, alat yang digunakan untuk diambil datanya adalah kartu IoT. Untuk melakukan aktivitas monitoring secara berkala cukup memakan waktu dan juga user yang ditugaskan harus teliti, karena apabila ada data yang terlewat, maka pada saat evaluasi mingguan atau bulanan dapat kacau. Untuk mengatasi hal tersebut, penulis melakukan perancangan aplikasi otomatisasi untuk monitoring data menggunakan bahasa pemrograman Python. Otomatisasi sendiri merupakan sebuah program yang dapat membuat sebuah bot yang mampu bekerja sesuai dengan perintah yang sudah dimasukkan di dalam programnya. Pada perancangan aplikasi ini, program tersebut dapat melakukan pengunduhan serta pengunggahan secara otomatis dalam satu waktu. Pada perancangan aplikasi ini menggunakan bahasa pemrograman Python, serta menggunakan database yang berbasis MySQL. Aplikasi yang digunakan untuk mendapatkan total penggunaan data harian yaitu Jasper. Dalam perancangan ini, aplikasi otomatisasi akan diuji dengan menggunakan metode Black Box Testing. Hasil yang didapatkan dari perancangan aplikasi ini diharapkan dapat membantu user dalam melakukan sistem monitoring penggunaan data harian, sehingga dapat mendapatkan hasil yang maksimal dalam evaluasi.
Powerbank Laptop Portable sebagai Sumber Energi Mobile
Authors: Nadia Dwi Apriani  , Muhammad Alif Rachmatullah  , Rian Sukamto  , Yosi Apriani
Published: March 2022

Tingginya minat masyarakat terhadap penggunaan laptop disebabkan pada kelompok pekerja kantoran maupun pelajar. Untuk menunjang aktivitas belajar mengajar, penggunaan laptop sudah menjadi suatu kebutuhan bagi pekerja kantoran maupun mahasiswa. Penelitian dibuat untuk menjadi solusi penyediaan sumber energi laptop yang bersifat mobile dan ekonomis yaitu sebuah teknologi charger laptop portable menggunakan sumber energi listrik yang disimpan ke dalam baterai yang bisa diisi ulang tanpa harus menghubungkan peranti tersebut pada outlet listrik. Sistem yang dibuat menggunakan baterai lithium dan modul boost converter yang dikendalikan oleh sinyal kontrol berupa sinyal PWM (Pulse Width Modulation). Metode yang digunakan pada penelitian ini dimulai dari perancangan alat yaitu merangkai 15 buah baterai lithium disusun secara seri dan parallel, Modul BMS sebagai pengaman baterai dan menghasilkan tegangan keluaran baterai 12 volt, setelah dari modul BMS cek tegangan baterai apakah sudah 12 volt. Setalah itu masuk ke bost converte cek apakah tegangan sudah naik ke 19 volt Setelah tegangan dinaikkan 19 volt powerbank siap untuk dihubungkan ke beban yaitu laptop atau notebook. Hasil penelitian di dapat kan penghasil listrik laptop portable dapat mengecas laptop Acer berkapasitas baterai 5000 mAh selama 3 jam 7 menit sedangkan pada laptop Sony berkapasitas 2760 mAh lama waktu pengecasan nya adalah 1 jam 43 menit. Dari hasil penelitian disimpulkan lamanya waktu pengisian baterai dengan tegangan 19V DC dipengaruhi oleh besarnya kapasitas baterai yang dimiliki oleh laptop, semakin besar kapasitas baterai laptop maka semakin lama waktu pengisiannya.
Analisis Struktur Sepeda Lipat IZI ARC 16 dengan Menggunakan Metode Elemen Hingga
Authors: Abidin Zainal , Janatama Aryadi Panji
Published: March 2022

Dalam hal perhitungan kekuatan struktur pada sepeda sangat penting karenakan belakangan ini banyak kalangan yang mengunnakan sepeda lipat ini. Pada perhitungan kali ini mnggunakan metode elemen hingga diaplikasi solidwork. Sebelum melakukan analisis dilakukannya proses meshing pada rangka. Setelah itu analisis dapat dilakukan. Didalam analisis ini mendapatkan hasil tegangan maksimum yang nilainya tidak melebihi nilai kekuatan luluhnya pada material. Sehingga tidak terjadi patah pada rangka. Selain tegangan, ada juga regangan dan perpindahan yang terjadi pada rangka yang memiliki nilai maksimum yang tidak terlalu besar sehingga rangka mengalami deformasi elastis, dan hasil dari analisis menghasilkan nilai faktor keamanan mendapatkan nilai minimum 10.6. Ini menunjukkan bahwa kekuatan material lebih kecil dari tegangan yang terjadi. Sehingga dapat dinyatakan bahwa sepeda tersebut akan aman apabila difungsikan atau digunakan.
Pengaruh Variasi Baffle Spacing dan Flow Rate Terhadap Efektifitas Heat Exchanger Shell and Tube Menggunakan Metode NTU (Number of Transfer Unit) dan HTRI
Authors: Kharisma Aji Abdillah , Pangestu Wisnu Malik
Published: March 2022

Penelitian dilakukan dengan mendesain ulang heat exchanger berjenis shell-and-tube unit MOES C yang digunakan PT. Krakatau Steel untuk mendinginkan Rolling Mill 5-6, menggunakan aplikasi HTRI bertujuan mencari nilai efektivitas tertinggi dari standar yang ditetapkan ( E> 0,5). Tipe alirannya adalah counterflow, baffle bertipe double segmental, tubepasses berjumlah dua pass dengan fluida air dari cooling tower pada tube-side dan fluida oli Turalik 52 pada shell-side, serta ditetapkan variasi baffle spacing 60 mm, 90 mm, dan 100 mm, lalu variasi flow rate 5,716 kg/s, 5,781 kg/s, dan 5,808 kg/s. Dari hasil perhitungan HTRI, Kenaikan flow rate pada Heat Exchanger mengakibatkan penurunan efektivitas, sebaliknya pada flow rate minimum pada Heat Exchanger terjadi kenaikan efektivitas. Semakin banyak jumlah baffle pada Heat Exchanger akan memperbesar nilai pressure drop yang terjadi penurunan heat transfer pada Heat Exchanger. Semakin tinggi flowrate maka semakin besar juga nilai heat transfer, tetapi juga semakin besar massanya dan nilai pressure drop yang terjadi pada Heat Exchanger juga semakin besar. Banyaknya jumlah baffle dan flowrate juga memengaruhi nilai pressure drop dan heat transfer.
RUSSIA'S INVASION OF UKRAINE: IMPACT ON INDIAN ECONOMY - STRATEGIES TO MITIGATE AND SUSTAIN
Authors: Dr. B. Nagarjuna
Published: March 2022

The Russia-Ukraine war has had a direct influence on India’s foreign policy and security. Delhi is in a precarious position since it has allies on both sides of the war. India cannot continue to see Central Europe through Russia’s eyes and must make a strategic decision. Russia’s GDP growth is expected to be 0.7 percent in 2022, down 1.9 percent from last month’s prediction, and 1.4 percent in 2023, according to Focus Economics panellists. Economists are projected to become even more conservative in the future. The goal is being undermined by an increase in spontaneous risk as well as developing political and economic disparities. Ukraine’s government is said to have spent $270 million on military bond sales. In the foreseeable future, the war will have a substantial economic impact. Because of the severity of the circumstances and the unpredictability of the war, assessing the recession may take some time. Russia maintains that Ukraine was created by the Bolsheviks following the Battle of Brest-Litovsk in 1917. Russia is frequently the world’s greatest wheat exporter, while Ukraine is the world’s second-largest grain exporter. The researcher analyses the impact of war on the global and Indian economies.
KEYWORDS: Russian-Ukraine war, Inflation, Trade balance, Sanctions.
Double-edged migration policies and transnational rent-seeking interests
Authors: Koido Akihiro
Published: March 2022

There have been contradictory trends in migration policies in advanced countries since the 1990s: states have actively recruited desirable immigrants while they continued to deter and exclude unwanted migrants. The case of Japanese state not only represents this trend, but also shows a profoundly paradoxical case
in the sense that it officially negated incorporation of “immigrants” consistently though it has built up multiple channels of transnational labor supply for their urgent needs. It is particularly so because Japan has maintained the divergent policies in the middle of well-known demographic crisis with aging population.

These bifurcated policies can be understood partially by the growing role of “migration industry” in the neoliberal era as recent research showed. However, simultaneous development of migration control machines and building migration pipelines urges us to make a further conceptual breakthrough. This paper introduces the concept of “rent-seeking” activities of stake holders of migration policies to explain persistent gaps between rigid state control of labor flows and active opening of diverse gates for supply of necessary labor by state initiatives. Emerging neo-liberal elites are seeking extra profit through institutional framework which creates
oligopolistic market structure by new side door policies such as National Strategic Special Zones for domestic workers and most recent new visa for middle skilled workers. This analysis of rent-seeking of contemporary migrant policies will open fresh eyes on contemporary immigration policies in different national contexts.
LINEAR DYNAMIC EXCHANGE MODEL IN THE QUANTITATIVE THEORY OF MONEY
Authors:   Macroeconomist, PJSC ", Blinov S.N. ,   KAMAZ",   , Naberezhnye Chelny, Russia, Krakhmalev O.N. ,   Candidate of Technical Sciences, Associate Professor Financial University, Moscow, Russia
Published: March 2022

The linear dynamic exchange model in the quantitative theory of money is presented and substantiated. This model reflects the relationship of macroeconomic indicators such as real gross domestic product (GDP) and real money supply (RMS). The model is built under the assumption that GDP is a function of the RDM and this function does not explicitly depend on time. The solution of the differential equation of the model shows that the RDM should change exponentially. To quantitatively reflect the relationship of the studied macroeconomic indicators, it is proposed to use a logarithmic dependence, which corresponds to linear graphs in the corresponding coordinates. The established relationship between GDP and RMS is in good agreement with empirical data obtained on the basis of both Russian and foreign economic statistics. The proposed dynamic exchange model can be used in the formation of monetary policy. It allows you to determine the target for the required RMS growth, depending on the target for GDP growth.
THE RUSSIAN GOVERNMENT’S MEASURES TO SUPPORT THE RUSSIAN ECONOMY DURING COVID-19 CRISES
Authors: Murad Mammadov Murad Mammadov
Published: March 2022

The pandemic COVID-19 has plunged the world economy into the deepest recession since World War II. Despite additional policy support, GDP of world in 2020 decreased by 5.2 percent, then followed by an increase of 4.2 percent in 2021. The pandemic has deeply interrupted livelihoods, with the termination in nearly 500 million full-time jobs in second quarter of 2020 alone. And this situation pushed about 150 million people into poverty by 2021. The revival of pandemic is blowing out a shadow over the global restoration as countries are forced to pull tight social-distancing measures, but trust has been picked up by news that various vaccines have shown high effectiveness in clinical experiments. The pandemic is forecasting to have long-lasting scarring effects on productivity and prospective growth, as investment loses strength further and human capital accumulation slows for reason of prolonged school lock-downs and extended unemployment.
Financing situations in Emerging Market and Developing Economies (EMDEs) have s amid gathering speed in COVID-19 cases. EMDEs suffering of higher debt burdens or financing needs are especially vulnerable to acute rise in borrowing costs and to restrictions in their access to financing. Foreign Direct Investment (FDI) flows to EMDEs dropped by about 32 percent in 2020 among stalling investment and poor corporate profit.
Keywords: pandemic, fiscal assistance, government measures.
Arrhythmia Mechanism on Diabetes Mellitus: A Narrative Review
Authors: Mezal Ricky Juliardi , Hauda El Rasyid
Published: March 2022

Diabetes mellitus is a metabolic disorder characterized by an increase in blood sugar levels. The mechanism of arrhythmias in patients with diabetes mellitus is complex and unique. This is an independent factor in the occurrence of arrhythmias through several slightly different mechanisms in non-diabetics. Hyperglycemia, hypoglycemia, remodeling, autonomic neuropathic dysfunction, fibrosis, and oxidative changes, and metabolic stress play an important role in the occurrence of arrhythmias in diabetes. This narrative review was at least to describe the mechanism of arrhythmia in diabetes mellitus.
Assessment and Comparison of Meta-features for Educational Chatbots Data and Survey Data
Authors: Oreški Dijana , Vukovac Dijana Plantak , Hajdin Goran
Published: March 2022

Usage of chatbot platforms is acquiring great attention at all levels of education. Human-chatbot interactions generate huge amounts of data which are a valuable source of information, when properly analyzed by means of data and text mining. One of the most challenging tasks in the mining process is the selection of the appropriate algorithm for a data set at hand. This is a complex task and depends on characteristics of the dataset used in the analysis. Those characteristics are formalized through meta-features. In this paper, we identified meta-features of chatbot and survey data. As a case study, we evaluated two data sets and identified their general meta-features along with discussion. This is, to the best of our knowledge, the first examination of meta-features for chatbot interactions data and their comparison with survey data.
Design of Convolutional Neural Network Based on FPGA
Authors: El Khoukhi Hasnae , Filali Youssef , Sabri My Abdelouahed , Aarab Abdellah
Published: March 2022

Recently with the rapid development of artificial intelligence AI, various deep learning algorithms represented by Convolutional Neural Networks (CNN) have been widely utilized in various fields, showing their unique advantages; especially in Skin Cancer (SC) imaging Neural networks (NN) are methods for performing machine learning (ML) and reside in what's called deep learning (DL). DL refers to the utilization of multiple layers during a neural network to perform the training and classification of data. The Convolutional Neural Networks (CNNs), a kind of neural network and a prominent machine learning algorithm go through multiple phases before they get implemented in hardware to perform particular tasks for a specific application. State-of-the-art CNNs are computationally intensive, yet their parallel and modular nature make platforms like Field Programmable Gate Arrays (FPGAs) compatible with the acceleration process. The objective of this paper is to implement a hardware architecture capable of running on an FPGA platform of a convolutional neural network CNN, for that, a study was made by describing the operation of the concerned modules, we detail them then we propose a hardware architecture with RTL scheme for each of these modules using the software ISE (Xilinx). The main objective is to show the efficiency of such a realization compared to a GPU based execution. An experimental study is accomplished for the PH2 database set of benchmark images. The proposed FPGA-based CNN design gives competitive results and shows well its efficiency.
Effect of Superplasticizers to Enhance the Properties of Concrete
Authors: Alsadey Salahaldein , Omran Abdelnaser
Published: March 2022

This study aimed to study the effects of asuperplasticizing admixture, namely, Sikament-NN superplasticizer, on concrete properties, such as workability and compressive strength. Experiments were performed on different concrete mixes with water–cement ratios of 0.50, 0.55, and 0.60. The superplasticizer dosages by weight of cement were 0%, 0.8%, 1%, and 1.2%. The experiments were classified into two phases: the first phase focused on the effects of superplasticizer admixture on workability and compressive strength, and the second phase determined the influence of superplasticizer admixture on concrete quality by reducing the amount of mixing water. Results showed that the addition of superplasticizer admixture improved workability and compressive strength. The experiment program included tests on workability, slump test, and flow table. For hardened concrete’s compressive strength test, we compared the properties of superplasticizer-based concrete with those of concrete without superplasticizer. The superplasticizer led to a significant water reduction but maintained workability.
The Assessment of the Comparative Efficiency of Various Reforms of High-income Countries
Authors: Davoyan Samson , Davoyan Ashot , , Khachatryan Ani
Published: March 2022

The acceleration of the processes of the globalization in the world economy, that tights and deepens the integration of the economies of different countries, leads to different challenges for the authorities of those countries. Hence, the governments of those countries develop and implement various concepts, strategic and tactical plans. The development and the practice of planned system and its ingredients are implemented in different directions of social life such as economic, political, institutional, social through systematic reforms. In modern literature the assessment of abovementioned reforms is implemented by different international and nongovernmental organizations /World Bank, International Monetary Fund, UNO, etc./ through different indexes /Economic Freedom, Democracy, Legatum prosperity, KOF globalization Indexes, etc/. The main objective of our research is to develop new methodology of the new integral index that we will give us an opportunity based on indexes that quantitatively assess reforms in different directions and create one more integral index that will mostly express the comparative efficiency of various reforms in those countries for 2009- 2015. The formation of the new integral index is based on econometric methods (cluster and factor analysis). The analysis of the Integral Index of Life Quality, helps to outline the countries that have implemented reforms with high and less efficiency, directions that provide high effectiveness and areas that reduce the efficiency.
Transforming the Business Object Model in a Web Services Model: Evolutionary strategy
Authors: Rivero-Αlbarrán Dulce , Barrios-Αlbornóz Judith , Rivas-Εcheverría Francklin
Published: March 2022

This paper specifies how to define the technical and semantic link that allows transform a business object model in a set of Web services. The business object model represents the set of things, entities or resources that handles, generate or consume business processes. A Web services model describes the set of software services that make Web applications integrated and coherent; these applications are necessary to support the implementation of the business processes and contribute to achieving business goals. The proposed transformation strategy makes the specification of technical and semantic relationship between objects and Web services, from two complementary perspectives: (1) refining the organizational task to define technical details, that is, from the business processes level to the technologies level; and then, (2) verify this relationship and semantically validate it in reverse order, i.e., abstracting the support to the business work from the defined Web services. The described specification process is evolutionary as several repetitions of the refinement and abstraction effort is required to achieve a balanced and representative specification of the relationship between business processes and Web services.
Power Line Communication as Alternative for Data Communication Channel for BRT
Authors: Fontana Caio Fernando , Sakurai Cledson Akio , Marte Claudio Luiz , Cardoso Jose Roberto , Da Silva Andrade Antonio Gil
Published: March 2022

The goal of intelligent transportation system (ITS ) for Bus Rapid Transit (BRT) is to improve public transportation in relation to safety, usability, mobility, quality and productivity through the use of information and communication technology and one of the main problems is to ensure that which elements of ITS such as buses, sensors, actuators, traffic lights, among others are exchanging data with them, due to the size of this environment, the infrastructure of communication between the transportation management system (TMS) and ITS components is extremely important in this context, this work proposes the use of communication technologies called Power Line Communication (PLC) system, which consists of data communication through the grid network that is available in urban center. Another characteristic of ITS for BRT is that the environment will exchange small data packages, so it is possible to use narrow band technologies. In this paper was considered the evaluation of two initiatives on narrow band PLC, PRIME and G3, which have similar physical layer, and the PRIME privileges the high data rates during favorable conditions and G3 provides better performance on unfavorable conditions. The both projects can be used as a communication data channel for communication between BRT ITS elements, because this communication requests a low bit rate.
Its Applied in Bus Rapid Transit
Authors: Sakurai Cledson Akio , Fontana Caio Fernando , Da Silva Andrade Antonio Gil
Published: March 2022

The BRT (Bus Rapid Transit) is a public transport system of low implementation cost and allowing to offer a quality service, although the BRT should not be seen only as an isolated mobility solution for the areas it serves, butas an inductor axis of urban development capable of contributing to the consolidation of a more fair and balanced city in social and environmental terms. To make one quality of services, BRT needs an efficient automation system, this system called ITS (Intelligent Transportation System), that enables control over the operation and maintenance of the BRT in order to prioritize service and thus bring greater quality in public transport for the population. However, due to system complexity it is necessary to implement a system that can be scalable and receive new features not only connected to the BRT as other systems that need to exchange information. This paper presents architecture to meet the requirements and needs of BRT in Brazil.
Common Cyber Situational Awareness: An Important Part of Modern Public Protection and Disaster Relief
Authors: Simola Jussi , Rajamäki Jyri
Published: March 2022

European Public Protection and Disaster Relief (PPDR) services such as law enforcement, firefighting, emergency medical and disaster recovery services have recognized that the lack of interoperability of technical systems limit the cooperation between authorities. Also Finnish PPDR authorities and politicians have recognized the importance of a common situational awareness in preparation for the future. When the purpose is to work effectively towards a common goal or solve various challenges, accurate and reliable information as a basis for situational awareness is needed. Cyber situational awareness is the part of situational awareness which concerns the “cyber” environment. Such situational awareness can be reached, e.g., by the use of data from IT sensors that can be fed to a data fusion process or be interpreted directly by the decision-maker. This study was conducted on the ground by visiting situation and command centers located in the Turku area in Southwestern Finland. The Southwestern Finland Police department, the Southwest Finland Emergency Services, the Hospital District of Southwest Finland and the Finnish Border Guard in Turku have their own situation/ command centers. The main purpose of the study was to find out local level factors which affect to utilization of situational awareness system. The aim was also to research the level of preparedness in regional administration including local PPDR departments. The main results can be summarized so that the operational field work of the PPDR authorities should be more standardized so that implementing new technology would be profitable. The lack of cooperation between situation centers prevent to create common situational awareness. In the future, cyber situational awareness can play an important role in emergency and crisis management because the scene of PPDR will increasingly often be a cyber-physical system.
Association Rule Mining with Apriori Algorithm for Pediatric Foot Disorders
Authors: Choi Jungkyu , Won Yonggwan , Kim Jung-Ja
Published: March 2022

An association rule mining has potential to discover important information of disorder in data. The purpose of this study was to show analysis process of the clinical data to acquire significant information effectively between the foot disorder groups and biomechanical parameters related to symptom by the association rule discovery. The first clinical health records of the total 279 pediatric patients diagnosed with the complex foot disorder, including pes planus basically, were used for study. The Apriori algorithm was applied to discover rule of the foot disorder groups. As the results, we were able to discover 8 rules of the complex foot disorder and confirm major information. In next study, another data mining methodology like neural network will be applied with a careful preprocessing for better analysis of the pediatric foot disorder from now on.
Pemantauan Kemampuan Anak dalam Mencapai Tumbuh Kembang yang Optimal dengan Deteksi Tumbuh Kembang pada Anak Usia Prasekolah
Authors: Yuliani Farida , Mail Erfiani , Wari Fitria Edni
Published: March 2022

This community service aims to monitor the growth and development of pre school children at PAUD Tarbiyatussibyan. The method used is a lecture and measuring growth and development. Monitoring and measurement of growth and development was carried out on 30 children in September-Nopember 2021. The results obtained were 100% of the participants had normal growth and development. Monitoring of growth and development should be done regularly at least once every 3 months as an effort to detect early developmental delays in pre-school children.
Mitigasi dan Penanganan Penyebaran Virus Covid-19 kepada Perangkat Desa dan Tokoh Masyarakat
Authors: Pamudhi Dwi Bagus , Abdurrachman Abdurrachman , Hanifah Umi , Annisa Isy
Published: March 2022

The number of Covid-19 cases continues to grow and spreads to all parts of the world rapidly. So far, 65 countries have been infected with this virus. The Indonesian government is trying to tackle this epidemic with various policies in various sectors. One of the policies set by the government to break the chain of this virus is the social distancing policy, namely by limiting activities outside the house to reduce interactions between humans so that it can reduce the possibility of Covid-19 transmission in Indonesia. The social distancing policy encountered several obstacles because humans never stopped their mobility and moving activities from one place to another. Therefore, the successful implementation of this policy requires the involvement of stakeholders in a democratic and participatory manner. The regional government is trying to prevent the spread of the Covid-19 virus by setting up Covid-19 control posts at several points that allow the arrival of residents from outside the city, such as at terminals, sub-districts and bus stops. This aims to educate the community and village officials in preventing additional cases in areas that have not been affected by Covid-19. Based on the results of the pre and posttest that has been carried out by the community, residents can find out the latest conditions so that residents can make efforts to handle and prevent health problems during the Covid-19 pandemic quickly and accurately.
Pengobatan Gratis pada Warga Terdampak Banjir
Authors: Suparyati Tuti , Fitrianingsih Fitrianingsih
Published: March 2022

The rainy season with high rainfall in February 2021 occurred. There was a flood disaster along almost the north coast of Java, Pekalongan Regency, Mulyorejo village was one of the villages affected by the severe flood disaster, the flood condition affected the activities of residents, economy, and health.  Flooding caused by high rainfall plus unresolved tidal conditions, namely sea levels that are increasing greatly, adding to the severity of the flood situation. The people of Mulyorejo affected by the flood took refuge in refugee camps, the conditions of the evacuation were inadequate with a large number of refugees, causing easy transmission of disease, the number of sick people increased, conditions like this require a helping hand or help from those who care. The purpose of this service activity is to provide health services in the form of free treatment to residents affected by the floods in Mulyorejo village, Tirto District. The method used in this community service activity is a direct method, namely the servant comes to the Mulyorejo village hall to do free treatment. Based on the results of the health examination, most of the villagers suffer from upper respiratory tract infection, hypertention, myalgia, and stomach pain.
Body Mass Index (BMI) dengan Preeklampsia pada Ibu Hamil Trimester III
Authors: Diana Sulis , Wari Fitria Edni , Yuliani Farida , Mail Erfiani
Published: March 2022

Preeclampsia if not treated properly, can lead to the death of the mother and baby. The cause of preeclampsia is unknown, women with a high BMI (Body Mass Index) or obesity before pregnancy are at greater risk for developing preeclampsia. This study is an observational analytic study with a case control approach with a retrospective approach. The purpose of this study was to determine the relationship between BMI and preeclampsia. The sample of this study was divided into case groups, namely third trimester pregnant women with preeclampsia and control group samples; namely third trimester pregnant women who did not experience preeclampsia. The number of samples in each group was 14 respondents. Data analysis using Chi Square statistical test. The results showed that most (19 respondents) pregnant women with TM III (67.9%) with abnormal BMI experienced preeclampsia as many as 13 respondents (46.4%). Meanwhile, of the 9 respondents of TM III pregnant women with normal BMI, most of them did not experience preeclampsia, namely 8 respondents (28.6%). Chi Square test results obtained p - value = 0.005 (< 0.05) which indicates there is a relationship between BMI and preeclampsia. More pregnancy monitoring in pregnant women with obesity and overweight categories is needed to avoid the occurrence of preeclampsia.
vexptoolbox: A software toolbox for human behavior studies using the Vizard virtual reality platform
Authors: Schuetz Immo , Karimpur Harun , Fiehler Katja
Published: March 2022

Virtual reality (VR) is a powerful tool for researchers due to its potential to study dynamic human behavior in highly naturalistic environments while retaining full control over the presented stimuli. Due to advancements in consumer hardware, VR devices are now very affordable and have also started to include technologies such as eye tracking, further extending potential research applications. Rendering engines such as Unity, Unreal, or Vizard now enable researchers to easily create complex VR environments. However, implementing the experimental design can still pose a challenge, and these packages do not provide out-of-the-box support for trial-based behavioral experiments. Here, we present a Python toolbox, designed to facilitate common tasks when developing experiments using the Vizard VR platform. It includes functionality for common tasks like creating, randomizing, and presenting trial-based experimental designs or saving results to standardized file formats. Moreover, the toolbox greatly simplifies continuous recording of eye and body movements using any hardware supported in Vizard. We further implement and describe a simple goal-directed reaching task in VR and show sample data recorded from five volunteers. The toolbox, example code, and data are all available on GitHub under an open-source license. We hope that our toolbox can simplify VR experiment development, reduce code duplication, and aid reproducibility and open-science efforts.
MEB 2017 ORTAOKUL MÜZİK DERSİ ÖĞRETİM PROGRAMI’NIN ÖĞRETMEN GÖRÜŞLERİ DOĞRULTUSUNDA DEĞERLENDİRİLMESİ
Authors: ÖZER Zeynep , ONURAY EĞİLMEZ Hatice
Published: March 2022

Araştırmada, Millî Eğitim Bakanlığı (MEB) 2017 Ortaokul Müzik Dersi Öğretim Programı’nın içerik ve uygulama açısından öğretmen görüşleri doğrultusunda değerlendirilmesi amaçlanmıştır. Bu doğrultuda programın eğitim anlayışı, özel amaçları, alana özgü becerileri, öğrenme alanları ve süreleri, içerik ve değerlendirme ile uygulanabilme koşulları esas alınmıştır. Çalışmaya Bursa ili merkez ilçelerinden Nilüfer ve Osmangazi ilçeleri resmi ortaokullarında görev yapan 101 müzik öğretmeni gönüllülük esasına uygun olarak katılmıştır. Araştırmada tarama modeli kullanılmıştır. Araştırma için gerekli veriler, araştırmacılar tarafından geliştirilen "MEB 2017 Ortaokul Müzik Dersi Öğretim Programı’nın İçerik ve Uygulama Açısından Öğretmen Görüşleri Doğrultusunda Değerlendirilmesi” başlıklı 5'li likert tipi toplama aracıyla betimsel yöntem kullanılarak toplanmıştır. Elde edilen veriler ölçek derecelerine göre birer sayısal değer atanarak kodlanmış ve analiz edilerek bölümler farklı başlıklar altında değerlendirilmiştir. Çalışma sonucunda, ders içeriğinden çalgı öğretiminin kaldırılması, Türk müziği konularının öğrenci seviyelerine uygun olmaması ve sınıflardaki teknolojik materyallerin eksikliği sebebiyle teknoloji ile ilgili kazanımların yerine getirilememesi öğretmenlerin görüş bildirdiği olumsuz konular arasında yer almıştır.
Pengembangan Media Video Pembelajaran Pada Mata Kuliah Kalkulus Peubah Banyak
Authors: Wahyuni Arie , Wahyu Hidayati Destia
Published: March 2022

This study aims to develop instructional video media in mathematics computer application program courses. This research is a Research and Development type of research with a 4D model, namely define, design, develop, and disseminate. From the results of this study it can be concluded that 1) the assessment obtained by the material expert on the instructional video media got a percentage score of 83% (very good), the assessment obtained by the media expert on the instructional video media got a percentage score of 87.5% (very good), 3) the response from students to instructional video media got a percentage score of 87.5% (very good).