bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perancangan Visual Identity Babsatu Coffee & Bakery di Payakumbuh
Authors: Zein Muhammad Hazri , Budiwirman Budiwirman 
Published: July 2022

Babsatu Coffee & Bakery is a coffee shop located in Payakumbuh City owned by Ikhsan Marza. This cafe does not yet have a logo, so the logo is designed in the form of a colored logo and typography to represent the previous concept so that consumers and potential customers can easily remember it. The logo was formed based on the concept of Gestalt similarity logo theory or similarity in shape by using the shape of an owl as a topping, a cup as an owl's body and coasters as legs, followed by the letters of the name "chapter" itself, and using the word "Coffee & Bakery". “Like the title below, the shape fits well with a nice and modern shape. The design of Babsatu Coffee & Bakery's visual identity analysis is a SWOT (Strength, Weakness, Opportunity, Treatment) analysis to find solutions and problems. The design process begins by observing and interviewing the owner of Babsatu Coffee & Bakery to obtain the data needed to design this visual identity. The main media are in the form of brochures and supporting media in the form of posters, roll banners, business cards, T-shirts, stickers, paper bags, and cups. Keywords: Visual Identity, logo, babsatu coffee & bakery
Picture Book Lagu-Lagu Daerah Indonesia Untuk Anak-Anak
Authors: Pratiwi Ina , Jupriani Jupriani 
Published: July 2022

Indonesia memiliki kekayaan yang berbeda setiap daerah. Setiap daerah memiliki perbedaan baik dari tradisi, kebiasaan-kebiasaan, tata bicara, dan bahasa. Salah satu perbedaan bahasa bisa kita lihat pada lagu daerahnya. Lagu-lagu daerah tersebut biasanya tercipta dari fakta-fakta yang terkait dari daerah-daerah setempat. Fakta-fakta tersebut diangkat dari muatan kedaeraan didalamnya. Muatan kedaerahan tersebut bisa berupa tata cara kehidupan dan perlaku masyarakat. Namun sayangnya anak-anak sekarang tidak tertarik terhadap lagu-lagu daerah yang ada. Kurangnya minat anak-anak serta media edukasi tentang lagu-lagu daerah menajdi faktor utama penulis membuat picture book lagu-lagu daerah Indonesia untuk anak-anak. Penulis memilih media picture book karena menari perhatian dan memudahkan anak-anak untuk belajar mengenai lagu-lagu daerah Indonesia. Metode perancangan yang dilakukan adalah metode glass box, metode berfikir secara rasional atau nyata dan membutuhkan proses yang rasional. Di samping itu, metode analisis data penulis menggunakan 5W+1H (What, Who, Why, When, Where, and How). Hasil dari perancangan “Picture Book Lagu-lagu Daerah Indonesia untuk Anak-anak” ini adalah buku gambar yang memberikan edukasi kepada anak-anak agar mereka tertarik mempelajari dan melestarikan lagu-lagu daerah Indonesia. Tidak hanya itu diharapkan anak-anak dapat mengerti bahwa setiap lagu-lagu memiliki muatan tersendiri didalamnya. Promosi picture book ini menggunakan media promosi.
REVIEW: Noted: ‘All we want is a fairer share’
Authors: Cass Philip 
Published: July 2022

Our Ocean’s Promise: From aspiration to inspiration: The Marshall Islands Fishing story, by Giff Johnson. Majuro: Marshall Islands Marine Resources Authority, 2021, 200 pages.
THIS lavishly illustrated history of the development of commercial fishing in the Marshall Islands will be of interest to anybody concerned with economic development and sensible management of fishing stocks in the Pacific. For many islands their offshore economic zones and fishing fields have been a source, even potentially, of wealth. However, overfishing and the loss of fishing stock through legal agreements, leasing arrangements and outright piracy have been a problem for many island states in recent years.
Factors Influencing Mobile Payment Adoption in Hong Kong: A Quantitative Study
Authors: CHU Wai Shun Wilson 
Published: July 2022

Mobile payment system is gaining increasing acceptance as a mode of payment in the current economic environment. With the growing popularity of mobile payments, it is important to identify the key factors that motivate people use mobile payment. Pinpointing such factors would allow businesses to build the right mobile payment for customer’s needs. This article relies on a novel integrated model and a qualitative method to answer the question "what are the key factors influencing Mobile Payment Adoption in Hong Kong, a global metropolis where mobile payment is making steady inroads”. This study use a quantitative approach with a sample size of 203 to investigate the Influence of eight factors on Behavioural Intention to use mobile payment. The results show that factors relating to “Hedonic Motivation”, “Habit”, “Perceived Usefulness”, “Perceived Ease of Use”, “Social Influence” and “Government Support” significantly affect the Behavioural Intention to use mobile payments to conduct online transactions, while “Perceived Risk” and “Perceived Cost” shows no significant effect. Although the TAM/UTAUT model has been extensively studied in the previous research on mobile payment services, little effort has been done to combine and investigate other influencing factors in order to test their effects on the intention to adopt mobile payment. As a result of this, this study contributed by developing and testing a novel integrated model providing a valuable guideline to help researchers looking into issues related to mobile payment services in Hong Kong.
Temperature dependence studies and microscopic protonation constants of L-alanine and β-alanine in acetonitrile – water mixtures
Authors: Erensoy Hande , Alkaya Dilek Bilgic , Seyhan Serap Ayaz 
Published: July 2022

Abstract
L-alanine and β-alanine are important biological molecules and have zwitterion structure. In this study, L- alanine and β-alanine’s microscopic protonation constants and thermodynamic parameters (enthalpy, entropy, and free energy changes) for the proton–ligand systems of L-alanine methyl ester, β-alanine and β-alanine methyl ester have been determined at 5; 20; 35 °C, in ACN-water (25% ACN and 50% ACN (v/v)) mixtures at constant ionic strength of 0.1000 mol L–1 NaClO4 by potentiometric method. The results shown that, L-alanine and β-alanine’s microscopic protonation constants generally tend to decrease with temperature rise and their protonation reactions in ACN-water mixtures generally favor enthalpy-driven.
Use of the Alternating Directions Method in Cylindrical Coordinates, Applied to the Two-Dimension Unsteady Conduction Heat Transfer
Authors: Tcaciuc Gabriel-Dumitru , Lupu Ana-Georgiana , Horbaniuc Bogdan 
Published: July 2022

Abstract
Finding analytical solutions for the unsteady conduction heat transfer equation is generally very difficult due to the intrinsic complexity of the problem. In most cases, the equation has no analytical solutions. A numerical approach that surmounts these difficulties consists of the finite difference technique. The alternate directions finite-difference technique especially suits to the two-dimension heat conduction. The paper considers a hollow cylinder consisting of a conduction heat transfer medium, and the two-direction unsteady heat propagation within this medium is studied by means of the alternate directions method. The approach simulates the heat conduction process during a charge-discharge cycle of a single borehole heat storage.
Study Upon Cylindrical Roller Bearing Profile Optimisation Using FEA
Authors: Mehmet Ilhan , Chitariu Dragoş Florin , Dumitraş Cătălin Gabriel 
Published: July 2022

Abstract
The bearings represent an important element in the mechanical structures, ensuring the proper functioning of the moving / dynamic elements. An important feature of the bearing is its durability, which is necessary for long-term use. This characteristic is influenced by the contact between the rolling element / ring and the rolling elements / balls or rollers. This paper proposes a comparative study of the influences of different types of cylindrical roller profiles proposed in the literature and by the author on the durability characteristic. There are 3 types of profiles, standard, Fujiwara and a profile calculated by the author based on the solid of equal strength.
Expiry of medicine in public health facilities of Arsi Zone, Oromia Regional State, Ethiopia: a quantitative and qualitative study
Authors: Tura Abdurazak Jemal , Dalecha Debesa Doyo , Yasir Mohd , Ketebo Tahir Aman , Noorulla KM 
Published: July 2022

Abstract
Medicines are one of the critical elements of a well-functioning healthcare system, but their expiry remains one of the significant challenges in the healthcare sector. This study aims in assessing the extent of the issue and identifying the expired medicine types and their underlying causes in some selected public health facilities of Arsi Zone, Oromia Regional State, Ethiopia. This study is a mixed-method, which includes both quantitative and qualitative components. The quantitative research was undertaken by retrospective data extraction of recorded medicines as expired for the specified period. At the same time, the qualitative part is a facility-based cross-sectional survey study with self-administered questionnaires and semi-structured in-depth interviews engaging the health professionals of study facilities to explore the reasons for the expiration of medicines. Fifteen health facilities were selected from the study zone. The total monetary value of expired medicines in the studied health facilities during 2017-2019 was 185,938.86 USD. In the same period, all study facilities received medicines worth 2,425,882.64 USD, resulting in an expiry rate of 7.66%. The top classes of wasted medicines through expiry in terms of value were anti-infectives (35.51%) and medicines for central nervous system (CNS) disorders (20.48%). In comparison, by dosage forms, nearly half were solid dosage forms (48.81%), followed by liquid dosage forms (41.82%). Delivery of near expiry date medicines by Ethiopia’s Pharmaceuticals Supply Agency (PSA), lack of a system to exchange nearly expired medicines between facilities, and presence of overstocked medicines due to improper forecasting of need were the common perceived factors contributing to the expiry of medicines. Thus, the Policymakers should make decisions to reduce the contributing factors of medicines expiry to reduce wastage of medicines and promote appropriate utilization of finite resources.
The epidemiological situation in Ukraine in terms of the implementation of preventive vaccinations according to the Protective Vaccination Program
Authors: Pachnia Agnieszka , Drop Bartlomiej , Polz-Dacewicz Malgorzata 
Published: July 2022

Abstract
The level of immunization of children and adolescents under the Protective Vaccination Program in Ukraine is lower than in Poland, and, due to the outbreak of the war in Ukraine, many people now live in conditions that are often unsanitary. Centers for refugees are also places of increased risk of outbreaks of infectious diseases. This risk is increased by the low percentage of the vaccinated, limited access to healthcare (including diagnostics) and overcrowding.
The paper presents the state of vaccination in Ukraine against poliomyelitis, measles, diphtheria, tetanus and pertussis, the most important problems in the field of infectious diseases, as well as the resulting risks and the need to prevent them.
Meloidogyne incognita Management Using Fumigant and Non-fumigant Nematicides on Sweet Potato
Authors: Liu Chang , Grabau Zane 
Published: July 2022

Abstract
Southern root-knot nematode (SRKN, Meloidogyne incognita) is a major pest of sweet potato, and nematicides are needed to manage this nematode. The objectives of this study were to assess the efficacy of fluazaindolizine, a new non-fumigant nematicide, in comparison with the fumigant nematicide 1,3-dichloropropene (1,3-D) and non-fumigant nematicides fluopyram and oxamyl for (1) SRKN management, (2) impacts on free-living nematodes, and (3) sweet potato yield in field trials. Among all nematicides, 1,3-D at 84 kg/ha most consistently (2 of 3 years) managed SRKN soil populations and improved yield. Fluazaindolizine at 2.24 kg/ha and fluazindolizine at 1.12 kg/ha plus oxamyl at 2.14 kg/ha managed SRKN populations and improved yield in 1 of 3 years, whereas fluazaindolizine alone at 1.12 kg/ha only decreased SRKN populations. Fluopyram at 238 g/ha did not affect SRKN or yield. Nematicide application also had non-target effects on free-living nematodes with 1,3-D reducing abundances relative to untreated most frequently (2018 and 2020), but other nematicides also reducing free-living nematode abundances in 2020. In summary, 1,3-D is the most consistent option for SRKN control on sweet potato, but fluazaindolizine, oxamyl or combinations of the two products can also be effective.
The Importance of the Study and Work Environment Ergonomics for Today’s and Future Managers and Logistics Specialists
Authors: Tumová Dominika , Mičiak Martin , Bodingerová Michaela , Brezianská Nikola , Hrabošová Natália 
Published: July 2022

Abstract
Ergonomics in the work environment represents an important area since the non-compliance with it negatively affects people’s health. To create sustainable working conditions for employees in the future, today’s students – future managers, logistics specialists, and entrepreneurs need to be approached. The paper presents pilot research oriented towards the awareness of ergonomics and its merit in relation to health and productivity while studying and performing sitting work tasks. The meaning of this was raised by the Covid-19 pandemic impacts and an increase in the home office and distant studying. Also, the paper combines arguments from secondary data sources with obtained primary data. The main goal was to gather evidence justifying active engagement of logistics managers in ergonomics, as well as setting logistics processes respecting ergonomics requirements. The main findings underline the need for logistics specialists and employees themselves to be aware of ergonomics principles so that human well-being can be sustainably achieved.
Automatic diagnosis of severity of COVID-19 patients using an ensemble of transfer learning models with convolutional neural networks in CT images
Authors: Shalbaf Ahmad , Gifani Parisa , Mehri-Kakavand Ghazal , Pursamimi Mohamad , Ghorbani Mahdi , Davanloo Amirhossein Abbaskhani , Vafaeezadeh Majid 
Published: July 2022

Abstract

Introduction: Quantification of lung involvement in COVID-19 using chest Computed tomography (CT) scan can help physicians to evaluate the progression of the disease or treatment response. This paper presents an automatic deep transfer learning ensemble based on pre-trained convolutional neural networks (CNNs) to determine the severity of COVID -19 as normal, mild, moderate, and severe based on the images of the lungs CT.

Material and methods: In this study, two different deep transfer learning strategies were used. In the first procedure, features were extracted from fifteen pre-trained CNNs architectures and then fed into a support vector machine (SVM) classifier. In the second procedure, the pre-trained CNNs were fine-tuned using the chest CT images, and then features were extracted for the purpose of classification by the softmax layer. Finally, an ensemble method was developed based on majority voting of the deep learning outputs to increase the performance of the recognition on each of the two strategies. A dataset of CT scans was collected and then labeled as normal (314), mild (262), moderate (72), and severe (35) for COVID-19 by the consensus of two highly qualified radiologists.

Results: The ensemble of five deep transfer learning outputs named EfficientNetB3, EfficientNetB4, InceptionV3, NasNetMobile, and ResNext50 in the second strategy has better results than the first strategy and also the individual deep transfer learning models in diagnosing the severity of COVID-19 with 85% accuracy.

Conclusions: Our proposed study is well suited for quantifying lung involvement of COVID-19 and can help physicians to monitor the progression of the disease.
Cardioprotective Effects of Physical Activity: Focus on Ischemia and Reperfusion
Authors: Glisic Milos , Pindovic Bozidar 
Published: July 2022

Abstract
This review aimed to revisit the old and introduce some of the new various cardioprotective effects of physical exercise, focusing on ischemia-reperfusion injury. A wealth of data shows that regular physical exercise is necessary to prevent cardiovascular diseases. In the last few years, a number of new training regimes, usually modified variations of high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) protocols, have been rising in popularity among people of all ages. Since exercising is not limited to only healthy people, our study emphasized the benefits of HIIT and MICT in preventing or mitigating cardiac ischemia-reperfusion injury. Different kinds of research are being performed, studying the various positive and side effects of these training regimes, all in hopes of finding the most optimal ones. So far, all of them have shown that exercising to any extent, even for a short period of time, is beneficial in one way or another, and outweighs the possible risks it might have. We also revisited some of the known molecular mechanisms responsible for many of the effects of physical exercise and introduced some new findings related to them. Lastly, we summarized and compared the benefits of different HIIT and MICT protocols to narrow down the search for the most efficient training method.
An Experimental Investigation on Heat Transfer Enhancement in An Annulus with Rotating Outer Cylinder Using Nano Fluids
Authors: Khalaf Samer Mahmood , Mohammed Akeel Abdullah , Mohammed Qasim Jabbar 
Published: July 2022

Heat transfer augmentation for Taylor-Couette ﬂows between concentric cylinders have been investigated experimentally. Due to its importance and widespread in wide industrial applications such as heat exchangers, reactors, well dinning, packed beds, compressors and gas turbines, chemical industries, etc. Different variables are investigated in the present work as follow, Rayleigh number (2×106 ≤ Ra ≤ 2×107), Taylors number (0 ≤ Ta ≤ 2.4×1010), Richardson Number (0.004 ≤ Ri ≤ 0.4) and nanoparticles volume fractions(φ) of Al2O3 with water base (0 % ≤ φ ≤ 0.225 %) in which prepared in two step method. The enhancement in heat transfer was 16.5% to 24% due to rising the concentration of Nano fluids of Al2O3-pure water from 0% to 0.225%. Also, the Nusselt number increases with increasing Rayleigh and Richardson numbers. Finally, a correlation was deduced to describe the experimental work and linked the studied parameters with difference less than 13.5 %. The comparison between experimental work and previous works found a good agreement between them.
Implementasi Algoritma Random Number Generator (RNG) pada Aplikasi Try Out Berbasis Framework Laravel
Authors: Rachmadtullah Ridho Wahyudi , Prihanto Agus 
Published: July 2022

Abstrak— Pada saat ini penggunaan Ujian Tulis Berbasis Komputer (UTBK) atau yang biasa dikenal juga dengan Computer Base Test (CBT) seringkali digunakan terutama untuk melakukan pelaksanaan Ujian Nasional. Sedangkan disisi lain pelaksanaan ujian tengah semester atau akhir semester sekolah masih menggunakan konsep konvensional yaitu satu soal untuk semua siswa dan dikerjakan secara manual di atas kertas. Agar siswa tidak kaget terhadap bentuk soal UTBK, maka pihak sekolahan harus menyiapkan aplikasi yang cara kerjanya mirip dengan UTBK nasional untuk melatih para siswa-siswinya dalam menghadapi ujian tersebut. Pada penelitian ini memiliki beberapa tujuan 1). menerapkan algoritma Random Number Generator (RNG) pada soal try out dengan menggunakan framework laravel, 2). mengetahui tingkat dari kerandoman soal siswa dengan cara menghitung frekuensi kemunculan soal (modus) yang didapatkan oleh peserta.
Hasil dari Pengujian Validitas Aplikasi oleh Guru dan Siswa menunjukkan bahwa aplikasi telah di uji cobakan sesuai dengan harapan, sedangkan untuk pengujian keacakan soal diperoleh hasil rata-rata soal muncul yang sama adalah 15,25% dan frekuensi kemunculan soal (modus) adalah 25%..
Kata Kunci - Tryout, CBT, RNG, Laravel, Modus, Laravel
Perbandingan Akurasi Metode Lexicon Based Dan Naive Bayes Classifier Pada Analisis Sentimen Pendapat Masyarakat Terhadap Aplikasi Investasi Pada Media Twitter
Authors: Amaliah Fitrah , Dwi Nuryana I Kadek 
Published: July 2022

Investasi pada era globalisasi ini menjadi kegiatan yang penting dalam perekonomian dan bisnis. Sudah banyak masyarakat yang memilih untuk menempatkan dana yang mereka miliki dalam bentuk investasi. Dengan adanya perkembangan teknologi para developer membuat aplikasi investasi untuk memudahkan proses investasi. Dengan adanya aplikasi investasi, terdapat juga kelebihan dan kekurangan dari aplikasi yang ada, mulai dari aplikasi investasi bodong hingga aplikasi investasi yang terpercaya. Analisis sentimen pada Twitter dilakukan agar mengetahui aplikasi investasi yang harus dihindari dan dapat dipercaya. Metode lexicon based dan naive bayes classifier dipilih agar dapat mengklasifikasikan antara tweets yang bersentimen positif, netral, dan negatif agar memudahkan masyarakat dalam menentukan pilihan beserta mengetahui tingkat akurasi antara kedua metode. Dari hasil kedua metode telah didapatkan bahwa sentimen positif memiliki persentase tertinggi terhadap aplikasi investasi. Sedangkan perbandingan akurasi dari kedua metode menghasilkan 67% untuk metode lexicon based dan 78% untuk metode naive bayes classifier. Dari hasil tersebut dapat menunjukkan bahwa data yang telah dianalisis tentang aplikasi investasi memiliki nilai positif dan hasil akurasi dari metode naive bayes classifier memiliki nilai yang lebih tinggi dari pada metode lexicon based.
Sistem Klasifikasi Limbah Menggunakan Metode Convolutional Neural Network (CNN) Pada Webservice Berbasis Framework Flask
Authors: Dacipta Parole Nimadinaga , Putra Ricky Eka 
Published: July 2022

Abstrak— Di berbagai negara sampah merupakan permasalahan yang dihadapi sehari-hari seluruh aktivitas tidak bisa terhindar dari kata sampah. banyak sekali jenis–jenis sampah di lingkungan kita, dan kebanyakan masyarakat Indonesia masih belum bisa membedakan jenis sampah apa yang setiap hari mereka buang sehingga banyak sekali sampah yang tidak diklasifikasikan. Yang menyebabkan proses klasifikasi limbah pada pabrik daur ulang sangat susah untuk dilakukan. Maka dari itu bagaimana jika limbah yang ada diklasifikasikan menjadi 9 macam dan setiap masyarakat dapat membuang limbah sampah mereka sesuai dengan 9 macam class yang telah dibedakan yaitu battery, pakaian, e-limbah, kaca, bola lampu, metal, organic, kertas, plastic. sehingga mempermudah pabrik daur ulang dalam proses klasifikasi sampah. Oleh karena itu Sistem Klasifikasi Limbah Pada Web Service Berbasis Framework Flask akan sangat membantu masyarakat dalam mengklasifikasikan limbah sampah yang dihasilkan. Sistem klasifikasi limbah pada aplikasi berbasis web ini menggunakan metode Convolutional Neural Network (CNN). Metode CNN merupakan suatu metode deep learning yang dapat mengidentifikasi dan mengklasifikasi sebuah object pada citra digital. Penelitian ini menggunakan arsitektur VGGNet. VGGNet merupakan arsitektur dari Convolutional Neural Network.
Penelitian ini menggunakan 9 class limbah sampah. Dataset yang digunakan yaitu 8371 citra limbah sampah. Dimana dataset tersebut digunakan untuk melakukan training data yang telah dibagi menjadi 1.122 citra battery, 729 pakaian, 624 e-limbah, 773 kaca, 651 bola lampu, 1092 metal, 671 organic, 1468 kertas dan 1241 plastic. Pada proses training dilakukan sebanyak 28 epoch, yang mendapatkan akurasi tertinggi 69,77% dengan loss terendah 0,34. Untuk data testing didapatkan hasil 64,45% accuracy.