bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of biocoke on iron ore sintering performance and strength properties of sinter
Authors: Kieush Lina , Koveria Andrii , Boyko Maksym , Yaholnyk Maksym , Hrubiak Andrii , Molchanov Lavr , Moklyak Volodymyr
Published: July 2022

Purpose. The research purpose is to substantiate the use of biocoke as a fuel in the iron ore sintering, as well as its influence on the performance and properties of the resulting sinter. To completely replace conventional coke breeze, biocoke is produced using 5 wt.% biomass wood pellets at different carbonization temperatures of 950 or 1100°C. Further, the influence of biocoke on the sintering process and the sinter quality is studied at a high proportion of biomass pellets of 10, 15, 30, 45 wt.% and a carbonization temperature of 950°C. Methods. Carbonization is performed in shaft-type electric furnaces to produce laboratory coke or biocoke. Afterward, the sintering of iron ores is conducted on a sinter plant. To assess the sintering process and the quality of the resulting sinter, the filtration rate is determined on a laboratory sinter plant using a vane anemometer designed to measure the directional flow average velocity under industrial conditions. The sinter reducibility is studied using a vertical heating furnace to assess the effect of coke and biocoke on the sinter’s physical-chemical properties. Findings. It has been determined that biocoke, carbonized at a temperature of 950°C, has good prospects and potential for a shift to a sustainable process of iron ore sintering. Originality. It has been proven that biocoke with a biomass pellet ratio of up to 15 wt.%, obtained at a temperature of 950°C, does not affect the parameters characterizing the sintering process. The sinter strength indicators correspond to the use of 100 wt.% conventional coke breeze. Biocoke used with a high proportion of biomass pellets of 30 and 45 wt.% causes a deterioration in the sinter quality. Practical implications. The results of using biocoke with the addition of 5-15 wt.% biomass pellets and at a temperature of 950°C are within the standard deviation, which makes it possible to use biocoke with 15 wt.% biomass pellets instead of industrial coke breeze.
Mathematical model and methods for solving heat-transfer problem during underground coal gasification
Authors: Saik Pavlo , Berdnyk Mykhailo
Published: July 2022

Purpose. A mathematical model development for heat transfer during underground coal gasification based on the transcendental equation solution by the Newton-Raphson method. Methods. The heat-transfer model development is based on the research into a temperature field with a variable size of the gasification zone when passing through the phase transformation boundary, which changes abruptly. The research on the coal seam T(x, t) temperature field and the displacement length of the phase transition boundary S(t) is based on the integration of the differential heat-transfer equation with the fulfillment of one-phase Stefan problem conditions. The proportionality factor (β), characterizing the ratio of the displacement length of the “generator gas – coal” phase transition boundary to the time of coal seam gasification, is determined by substituting the Boltzmann equation and using the Newton-Raphson method based on solving the obtained transcendental equation. Findings. The main problems related to laboratory research on the coal gasification process have been identified. A mathematical model of heat transfer during underground coal gasification for a closed georeactor system has been developed, taking into account the effective change in its active zones. Originality. A mathematical model of heat transfer during underground coal gasification at the phase transition boundary has been developed, under which the one-phase Stefan problem conditions are fulfilled. Dependences of the change in the underground gas generator temperature, taking into account the change in the active zones of chemical reactions along the length of the combustion face and the gasification column, have been revealed. In addition, the dependences of the change in the phase transition boundary of a “generator gas – coal” heterogeneous system have been determined, which characterize the displacement length of the phase transition boundary on time and reveal the relationship between the thermal conductivity coefficient, specific heat capacity, as well as bulk density of coal and its calorific value. Practical implications. A method has been developed to determine the displacement length of the phase transition boundary of a “generator gas – coal” heterogeneous system and its relationship between the time and temperature of gasification process. This makes it possible to predict in the future the change in the active zones of the underground gas generator along the length of the gasification column.
Petrographic and geochemical characteristics of rocks in the Drenas region, Kosovo
Authors: Fejza Islam , Shala Astrit , Kutllovci Festim , Tmava Ahmet
Published: July 2022

Purpose. The paper purpose is to provide complete identification of rock types and the geochemical characteristics in the Drenas region. The authors seek to determine the discontinuity or continuity of all inter-formational boundaries to accurately delineate them in the field and fully reflect on a 1:25000 scale map. In addition, they reveal the nature of the contact between rock types, giving its detailed description and geochemical characteristics. Methods. Geological study is focused on the following facts: complete identification of all rock types on the basis of studying their samples, preparation of thin sections for petrographic study, chemical and geochemical analysis. The methods applied for geochemical analysis use the MinPet software. This software, used for mineral chemistry, is programmed to process and recalculate the results of major-element analysis according to the most common normative calculation schemes. This software is used in scientific works for constructing diagrams of rock calcification and geochemical interpretations according to the components of Na2O + K2O/SiO2, as well as rare earth elements according to the component SiO2/Zr/TiO2. The exploration field trips have been conducted to identify and describe areas of mineral outcrop. Findings. Based on the study of geochemical analysis and the petrographic description of mineral outcrops, as well as examination under a microscope, different types of rocks have been identified. Based on these types, the origin, age and spread of these rocks in this region have been determined. Originality. The originality of the study is in the use of the analysis results obtained in the AcmelLabs Laboratory, Vancouver, Canada, for major elements, rare earth elements and trace elements, which are shown in the diagrams presented in this paper. Practical implications. The geochemical analysis leads to the conclusion that the studied area has Ni-mineralization, which is important for the development of mining sector, as well as for the community while preserving the environment and applying an adequate method of exploiting the area.
Pelatihan Membuat Hiasan Dinding Kepala Wayang Golek Berbahan Resin di UKM Golek Waris Desa Tegalwaru
Authors: Qeis Muhammad Iqbal , Sidhartani Santi , Raden Agung Zainal Muttakin , Pratama Dendi
Published: July 2022

Wayang golek identik dengan boneka yang terbuat dari kayu, memakai pakaian lengkap, dan beberapa tokoh memiliki mahkota atau ukiran yang unik. Ukiran pada kepala wayang golek menjadi ciri khas dan identitas tokoh wayang tersebut. Pengrajin wayang golek akan langsung mengukir kepala wayang golek sesuai dengan karakter yang akan dibuatnya. Karya yang dibuat memiliki nilai estetika. Kendala yang dihadapi adalah hanya pengrajin saja yang dapat membuat kepala wayang golek, dilain sisi kurangnya minat generasi muda dalam mempelajari pembuatan wayang golek. Program Pengabdian Kepada Masyarakat dilakukan untuk menarik minat generasi muda dalam mempelajari seni tradisi Indonesia melalui kegiatan pelatihan pembuatan hiasan dinding kepala wayang golek. Teknik yang dilakukan adalah dengan membuat  cetakan wayang golek dari silicone rubber, sehingga wayang golek yang dihasilkan bukan lagi berbahan kayu, melainkan berbahan resin dan campuran kalsium. Hiasan dinding wayang golek berbahan resin ini dapat diproduksi secara massal sehingga produksi dapat terpenuhi dengan jumlah yang banyak.
Workshop Pembelajaran Matematika Berbasis STEAM (Science, Teknologi, Engineering, Art and Matematics) bagi Guru SD Pondok Kelapa
Authors: Yensy Nurul Astuty
Published: July 2022

Mayoritas guru-guru di SD N 10 dan SD N 2 Pondok Kelapa Kabupaten Bengkulu Tengah masih mengalami kesulitan bagaimana menyelenggarakan pembelajaran yang efektif, khususnya pembelajaran matematika. Sangat jarang mereka merencanakan pembelajaran matematika dengan pendekatan nyata yang mengaktifkan siswa, karena mereka menganggap bahwa pembelajaran yang demikian tidak bermanfaat, membingungkan dan menyita banyak waktu. Berdasarkan survei awal ditemukan bahwa di SD N 10 Pondok Kelapa, pembelajaran yang diselenggarakan oleh guru-guru matematika masih bersifat konvensional yaitu metode ceramah. Guru-guru sangat jarang menggunakan metode pembelajaran menyenangkan seperti pembelajaran berbasis STEAM dengan bantuan alat peraga, sehingga dalam kegiatan ini dilakukan kegiatan “Workshop Pembelajaran Matematika Berbasis STEAM (Science, Teknologi, Engineering, Art and Matematics) bagi Guru SD Pondok Kelapa. Metode yang digunakan dalam kegiatan ini meli?uti: Seminar, Demonstrasi, tanya jawab, diskusi, pemberian tugas terbimbing serta monitoring dan evaluasi. Guru-guru SD N Pondok kelapa Kabupaten Bengkulu Tengah pada awalnya sebanyak 100% belum memiliki pengetahuan pembelajaran STEAM dalam mata pelajaran matematika SD. Setelah workshop/seminar  dilaksanakan dan setelah selesai kegiatan praktek pembuatan alat peraga pendukung STEAM, maka semua guru-guru sudah memiliki pengetahuan dan pemahaman yang baik tentang pembelajaran STEAM, secara umum  respon guru terhadap kegiatan ini sangat baik (positif) serta motivasi mereka sangat tinggi. Mereka sangat antusias untuk menerapkan pembelajaran STEAM di sekolah.
Workshop Penggunaan Media Manipulatif Matematika Materi Pecahan Bagi Guru Sekolah Dasar Bengkulu Selatan
Authors: Susanta Agus , Koto Irwan
Published: July 2022

Learning mathematics, especially in elementary schools, needs an emphasis on concrete operations. So a tangible form is needed in representing a mathematical concept. Problems in schools are the lack of availability of manipulative media, lack of understanding and skills of teachers about manipulative media for learning mathematics. Even though the design and manufacture of manipulatives is easy for teachers to do. Making manipulative mathematical media is one of the teacher's activities to support teaching tasks, especially in preparing learning tools such as student worksheets. The purpose of this service is to improve the ability of teachers at SD Negeri 78 Bengkulu Selatan. The activity was held at SD Negeri 78 Bengkulu Selatan with the target of serving as many as 20 teachers. The implementation of the preparation consists of four stages, namely: (1) module design, (2) training in the use of teaching aids, (3) structured assignments. The results of service activities are an increase in teachers' ability and responses to training activities.
Pendampingan Simulasi Pemodelan Sains Menggunakan Software PhET Simulations Sebagai Media Pembelajaran Digital Berbasis Virtual Laboratory Bagi Guru IPA Palembang
Authors: Tibrani Masagus , Riyanto Riyanto , Anggraini Nike
Published: July 2022

Masa pandemi covid-19, membuat para guru harus lebih ekstra melakukan proses pembelajaran tanpa tatap muka. Demi mencapai tujuan pembelajaran, tentu mata pelajaran yang memuat praktikum menjadi lebih sulit dilakukan di masa ini. Selain itu, kondisi keterbatasan alat dan bahan yang tersedia di Lab Sekolah, ikut menyumbang kurangnya keberhasilan  kegiatan praktikum sehingga menyebabkan kurangnya ketercapaian tujuan pembelajaran. Oleh sebab itu, diadakannya kegiatan pengabdian ini bertujuan untuk memberikan pendampingan secara lebih mendalam kepada guru terkait keterampilan mengembangkan aplikasi Virtual laboratory lewat software PhET Simulations. Metode dalam pelaksanaan kegiatan ini meliputi 3 tahapan yakni perencanaan, pelaksanaan, dan evaluasi. Kegiatan diawali dengan ceramah mengenai pengenalan software PhET dan Virtual laboratory, serta pendampingan penggunaan PhET Simulations untuk membantu pemahaman konsep peserta didik pada mata pelajaran IPA. Diharapkan bahwa kegiatan ini dapat membantu guru dan peserta didik dalam proses pembelajaran dan mencapai tujuan pembelajaran di sekolah.
Monitoreo continuo de glucosa en tiempo real y mejora del control glicémico en diabetes gestacional
Authors: Morales María Del Mar , Acho Edwin , Castrillón Carolina , Marcelo Humberto , Vera Edy , Lopez Eddy , Zhang Cristian , Leey Julio
Published: July 2022

El adecuado control glicémico durante el embarazo evita complicaciones materno-fetales. Los dispositivos de Monitoreo Continuo de Glucosa (MCG) captan niveles de glucosa intersticial, permitiendo observar en tiempo real los valores de glucosa durante el día. Hay claros beneficios de esta herramienta, pero poca experiencia clínica en el Perú. Se estudió a 3 gestantes con diabetes gestacional con la ayuda del MCG y se les brindó sesiones de educación nutricional y controles médicos con un endocrinólogo. Todas las gestantes tuvieron un control adecuado de la glicemia con el uso de los MCG. Dos de ellas requirieron tratamiento con insulina y consejería nutricional, mientras que la otra solo requirió manejo nutricional. El MCG fue bien recibido por las pacientes pues ayudó en el reconocimiento y conteo de carbohidratos, así como en el ajuste del tratamiento instaurado.
HOSPITAL EMERGENCY SECURITY SYSTEM
Authors:   Bapurao deshmukh college of engineering, rajendra rao shinde Rajshree , Sable Shruti ,   Bapurao deshmukh college of engineering, masalkar Kartik ,   Bapurao deshmukh college of engineering, Gaulker Harshad ,   Bapurao deshmukh college of engineering, nardwar Shailesh ,   Bapurao deshmukh college of engineering, shinde Tejashri ,   Bapurao deshmukh college of engineering, fulzale J B ,   Bapurao deshmukh college of engineering
Published: July 2022

The fire detection system combines the simultaneous measurements of smoke, carbon monoxide, and carbon dioxide. The security of campus against intruders moving in laboratories, class rooms, staffrooms or washrooms. The fire alarm system consists of Fire detectors (with can be smoke detector, heat, or Infra-Red detectors), control unit and alarm system. A fire detection system is developed based on the simultaneous measurements of temperature and smoke. The fire detection system with the alarm algorithm detected fires that were not alarmed by smoke sensors, and alarmed in shorter times than smoke sensors operating alone. Previous fire detection algorithms used data from sensors for temperature, smoke, and combustion products. The smoke sensor alarms when the analog output signal exceeds or equal the threshold value. The node includes analog sensors to measure smoke, carbon monoxide (CO) and temperature. A fire alarm system should reliably and in a timely way notify building occupants about the presence of fire indicators, such as smoke or high temperatures.
A COMPARATIVELY STUDY OF FUZZY LOGIC INTELLIGENT TRANSPORTATION SYSTEM ANALYSIS OF MOVING TRAFFIC CONTROL AND PARKING VEHICLE MANAGEMENT IN URBAN AREA
Authors:   Allen house Institute of Technology, Kr. Singh Dr. Sudhir
Published: July 2022

It is the time of Social Networking explosion of smart sensors deployed everywhere. According to survey in 2014 more than half of world's population now living in urban areas and growing definitely alerting city planners. Connected cities come out when Internet of Things (IoT) technologies and socially aware network systems aggregate administrations over a whole connected in urban areas. A smart city understanding is a broad concept so the transportation sector using fuzzy logic intelligent system in different architecture. Fuzzy logic is one of the strongest candidate solutions for mathematical based architecture in the world. In this paper fuzzy logic based comparatively study is proposed for transportation problem in urban cities. The objective of this paper is to comparatively analysis key issues and the solutions about traffic congestion in smart cities. Fuzzy initiation used to compute exact traffic, which separates the parking vehicle and moving vehicle both in any conditions. There is an issue of separating parking or non-parking vehicles in the present systems.
EQUATIONS OF STATE IN CHEMICAL ENGINNERING USING PYTHON
Authors:   IIST, Shukla Siddhi , Singh Dr. Samatha ,   IIST
Published: July 2022

The python programming language is very useful for all kinds of scientific and engineering tasks by plotting data and analyzing various problems as well. We can use google Colab for python to numerically solve various chemical engineering problems which are difficult or even impossible to solve analytically. One of the best advantages of python programming language is that it is free of cost, and can be easily downloaded from the web. Solving equations of state allows us to find the specific volume of a gaseous mixture of various chemicals at a specified temperature and pressure. Without using the equation of state, it would bedifficult for us to design a chemical plant virtually. By knowing the specific volume, we can determine the size and cost of the chemical plant, including the diameter of pipes, distillation towers and chemical reactors, the horsepower of compressors and pumps. This paper illustrates how to solve the complicated equations of states easily by writing small codes using python programming language.
CORRELATING STREAM GAUGING STATIONS USING ARTIFICIAL NEURAL NETWORKS
Authors:   VIIT, Dixit Pradnya , Kulkarni Preeti ,   VIIT, Londhe Shreenivas ,   VIIT
Published: July 2022

The present work aims at correlating stream gauging stations along river Krishna of the state of Maharashtra, India using Artificial Neural Networks. For this ANN models were developed with stream flow at the upstream stations(s) as inputs and stream flow at the downstream station as output. All the models show excellent results and prove the ability of ANNs to offer solutions with limited amount of data. The models will be useful to develop a decision support system for the downstream locations especially in case of flood events.
CARBON FIBER AS CONSTRUCTION MATERIAL
Authors:   Dayalbagh Educational Institute, Shubhangi Km , Jaiswal Devesh ,   Dayalbagh Educational Institute
Published: July 2022

Over the times as we have grown, so our engineering and exploration skills are set. Today, we are consistently innovating, researching and developing technology in pursuit of a sustainable future. All through these researches and evolution, engineers are in constant search for unique and better material which peerlessly execute the performance worth trade-off in the construction field. Many new raw materials have been discovered and many groundbreaking composite have been developed, of which not all but some have proved to be phenomenal success. Carbon fiber is one of these materials, which is normally used in combination with different materials to form composite. The properties of carbon fiber like high tensile strength, high stiffness, low weight, high temperature tolerance, high chemical resistance and low thermal expansion makes them one of the most popular materials in civil engineering occupying strength up to five times that of steel and one-third of its weight.
CLEVER FARMING WITH CROPS DISEASE DETECTION SYSTEM USING IOT AND ML
Authors:   G H Raisoni College of Engineering, Prasad Thakre Bhakti
Published: July 2022

Agriculture is the backbone of our country. Almost about 40% of annual global food supply loss is due to plant diseases. In developing countries, farmers generate 80% of agricultural products. For them, the loss of crops has a devastating consequence. Sometimes farmers lost 100% of crops due to some plant disease or illness. This makes crop illness a major threat to food security around the world. Identification of crop disease might be challenging due to the lack of lab infrastructure. Many IOT based manufacturing industries play an important role in the economic development of smart agriculture. Smart agriculture can include effective use of rain water, detection, and prevention of crops illness, detection and prevention of fire, prevention of animal intrusion in the field, etc by using different sensors and alarms. Crop disease is one of the most common problems which annoys farmers. So many times, farmers are not able to produce a good yield which results in less income for the farmer. This occurs due to various reasons like lack of minerals, soil humidity, changes in temperature, etc. Due to these parameters, illness in crops occurs which has an impact on product quality and quantity. IOT sensors can provide all necessary information to the farmers by properly monitoring the crops. Our goal is to create smart agriculture that utilizes the technologies like NodeMCU ESP8266, IOT, Android, WSN, and ML. The system monitors the temperature, humidity, wetness of the crops by using sensor NodeMCU ESP8266 and the farmer will receive a warning SMS on his smartphone using Wi-Fi. By using this proposed system farmers can easily detect the problemin the crop and this will help them to yield more healthy crops which will increase farmers' profit and food products in the country.
REAL TIME AGE AND GENDER CLASSIFIER
Authors:   Dayananda Sagar University, J R Sathwik , Patil Sharan ,   Dayananda Sagar University, GR Shravani ,   Dayananda Sagar University, V Kulkarni, Spoorthi ,   Dayananda Sagar University, Anil Vaishakh ,   Dayananda Sagar University
Published: July 2022

Gender is still a prominent element of our personalities. It also plays an important role in our social lives. Artificial intelligence age forecasts have applications in a variety of disciplines, including smart human-machine interface development, health, cosmetics, and electronic commerce, among others. The ability to estimate people's sex and age from their face photographs is a current and active research topic. The researchers proposed a number of solutions to the problem, but the criteria and actual results are still insufficient. This paper proposes a statistical pattern recognition strategy to solve this challenge. In the proposed method, a Deep Learning technique called Convolutional Neural Network (ConvNet / CNN) is employed to extract features. CNN takes input images and assigns a value to distinct characteristics / elements of the image (learnable weights and biases) and can distinguish between them. Other classification techniques require far more pre-processing than ConvNet. While the filters are created by hand using simple methods, ConvNets can be trained to learn these filters and features. Face photos of individuals were trained with convolutional neural networks in this study, and age and sex were accurately predicted with a high rate of success. There are around 20,000 photos with age and gender. Poses, facial expressions, lighting, occlusion, and resolution are all represented in the photos.
LUNG CANCER DETECTION AND PREDICTION USING DEEP LEARNING
Authors:   BNMIT, Anand Rameshwari
Published: July 2022

Lung cancer is a malignant tumor of the lungs that is characterized by uncontrolled cell proliferation. Early identification of lung cancer can improve lung cancer patient’s chances of survival and save many lives. Because cancer diagnosis is one of the most difficult tasks for radiologists due to the shape of cancer cells, a computer- aided diagnosis method can be beneficial. As a result, early detection and prediction of lung cancer should play a critical role in the diagnosis process, as well as increase patient survival rates. This project presents lung cancer detection based on CT images using efficient lung cancer classification and prediction using deep learning models for improved accuracy. The architecture is trained using preprocessed CT images. The patient input photos are then tested using deep learning models. The primary goal of this research is to determine whether a patient's lung containsa cancer tumor. By creating a handcrafted CNN model and using Transfer Learning-based VGG-16 and Inception V3 architectures to train the model, we present a convolution neural network-based classification technique. The performance of these models is compared in this study. To achieve the best outcomes, hyper parameter optimization was performed.
DEVELOPMENT OF NEW APPROACH TO SIMULATE OILPAN LOW FREQUENCY RADIATED NOISE USING NASTRAN BASED FEM SOLVER
Authors:   Dr D Y Patil Institute of Technology, M. Jadhav, Pandurang , Waghulde Dr. KishorB ,   Dr D Y Patil Institute of Technology
Published: July 2022

Currently to calculate radiated noise from vibrating surfaces requires two steps: First, calculation of surfaces velocity using a finite element model and second, surface velocity is used as input to calculate acoustic response in acoustic solver such as LMS. Developed new approach using Nastran is simple, low cost, less turnaround time and all calculations are done within single solver as compared to old approach. New approach is validated with sensitivity study of Oilpan noise results with different parameter variations below 2000 Hz. Finally Oilpan noise results of old approach and new approve compared and got fair correlation.
SECURE TEXT IN IMAGE STEGANOGRAPHY USING PIXEL-BASED ALGORITHM
Authors:   Vellore Institute of Technology, Ashiq Abdul Khader Muhammed , Kavileswarapu Saranya , Sarkar Ritika ,   Vellore Institute of Technology, Ganapathy Sannasi ,   Vellore Institute of Technology
Published: July 2022

The art of encrypting a hidden message within a public message is known as steganography. Traditionally methods like LSB (least significant bit) modification, the five-modulus method and other algorithms have been utilized to encode a lower quality image into a higher resolution image via steganography. This research aims to implement a novel text in image steganography using pixel-based algorithms where the security of the text is enhanced by integrating encryption before embedding secret messages. We use the Chinese Remainder Algorithm (CRT) to cryptographically secure the secret message inside the image and the least significant bit algorithm to store the message inside the image. A novel method is propounded for the key generation of the CRT algorithm and the results have been studied and compared with the results of the methods in existing studies.
School head leadership qualities and school performance in the Pacific towns of Northern Samar
Authors: Adto-Morallos Emie Rose
Published: July 2022

A correlational research design was employed to determine the relationship between the leadership qualities of school heads and the school performance in the 2019 National Achievement Test in the pacific towns of Northern Samar. The data were analyzed using frequency counts, percentage, mode, and Spearman rho correlation test at a .05 level of significance. Findings showed that the majority of the respondents are aged 30-34 years old, female, with at most ten years in the profession, hold a master's degree, have attended 11-20 seminars and conferences, and possess a very satisfactory level of leadership qualities in terms of challenging the people, inspiring people, enabling others to act, modeling the way, and encouraging people. Most schools in the pacific towns of Northern Samar scored average mastery in the national achievement test. However, no significant relationship was established between the leadership qualities of school heads and school performance on the national achievement test. Hence, local training workshops should be designed and conducted on the awareness of the leadership qualities of the school heads and teachers.
PENGARUH LIKUIDITAS, SOLVABILITAS, AKTIVITAS, DAN UKURAN PERUSAHAAN TERHADAP PROFITABILITAS PERUSAHAAN DI BURSA EFEK INDONESIA
Authors: Wage Sunarto , Toni Hariya , Rahmat Rahmat
Published: July 2022

This study aims to examine and analyze the effect of liquidity, solvency, activity, and firm size on the profitability of companies listed on the Indonesia Stock Exchange for the 2016-2021. Profitability is proxied by ROA, liquidity is proxied by CR, solvency is proxied by DER, activity is proxied by Asset turnover, and company size is proxied by Ln (total assets). This study uses an associative quantitative approach with a causal nature. The population in this study are companies listed on the Indonesia Stock Exchange. There are 15 companies selected as samples using purposive sampling method. In this study, the analytical technique used is multiple linear regression analysis. Based on the results of simultaneous hypothesis testing, obtained a significant effect on profitability, with the results of the coefficient of determination test of 87%. Based on the results of partial hypothesis testing, liquidity, solvency, firm size affect profitability while activity has no effect on profitability.
PENGARUH EKUITAS, PROFITABILITAS, DAN LEVERAGE TERHADAP PERTUMBUHAN LABA PERUSAHAAN DI BURSA EFEK INDONESIA
Authors: Wage Sunarto , Harahap Baru
Published: July 2022

This study aims to analyze and determine the effect of equity, profitability, and leverage on profit growth in companies listed on the Indonesia Stock Exchange (IDX). The financial ratios used consist of ROE, ROA, and DER. The sampling technique used purposive sampling method. The data used in this study is secondary data, namely financial statements published in the first quarter of 2022. The data comes from 40 companies on the Stock Exchange. In this study, the analytical technique used is multiple linear regression analysis. Based on the results of simultaneous hypothesis testing, the independent variables together have no significant effect on profit growth, with the results of the coefficient of determination being 16%. Based on the results of partial hypothesis testing, equity, profitability, and leverage have no effect on profit growth
ECONOMIC VALUE ADDED (EVA) DAN MARKET VALUE ADDED (MVA) SEBAGAI ALAT UKUR KINERJA KEUANGAN PADA PT BNI (PERSERO) TBK
Authors: Pratiwi Purba Arlina
Published: July 2022

The purpose of this study was to determine the company's financial performance using the Economic Value Added (EVA) and Market Value Added (MVA) methods. The type of research used is descriptive using a quantitative approach. The object of research is PT BNI (Persero), Tbk  for the 2016-2021 period. The data used is secondary data in the form of a Statement of Financial Position and Income Statement obtained from the official website of PT BNI (Persero) Tbk. Data analysis technique using EVA and MVA methods. The results of the research conducted show that in 2016, 2017, 2018, 2019 and 2021 always produce positive EVA and MVA values, this shows that PT BNI (Persero) Tbk is able to generate economic and market added value for shareholders and have good financial performance. But in 2020 PT BNI (Persero) Tbk only produced a positive MVA value while EVA was negative, this indicates that the company does not always generate economic added value for the company.
PENGARUH SOSIALISASI PERPAJAKAN DAN TINGKAT PENDAPATAN TERHADAP KEPATUHAN PEMBAYARAN PPH PASAL 21 PADA KARYAWAN PT SUMBER ALFARIA TRIJAYA TBK
Authors: Banjarnahor Haposan , Harahap Baru
Published: July 2022

Tujuan penelitian ini adalah untuk menunjukkan adanya pengaruh secara parsial simultan variabel sosialisasi perpajakan (X1) dan tingkat pendapatan (X2) terhadap pembayaran PPh Pasal 21 pada PT Sumber Alfaria Trijaya Tbk. Analisis yang digunakan dalam penelitian ini adalah analisis regresi, yang bertujuan untuk mengetahui koefisien regresi yang akan menunjukkan pengaruh variabel bebas terhadap variabel terikat. Hasil uji t menunjukkan bahwa variabel sosialisasi Perpajakan (X1) berpengaruh signifikan terhadap Kepatuhan Setoran Pajak (Y) dengan thitung 5,484 pada taraf 0,000 8,613 pada taraf 0,000. Hasil penelitian menunjukkan bahwa sosialisasi perpajakan F (X1) tingkat pendapatan (X2) secara simultan berpengaruh terhadap kepatuhan membayar pajak (Y) FC dengan menghitung 813.269.
Time Series Analysis of Cryptocurrency Prices Using Long Short-Term Memory
Authors: Fleischer Jacques Phillipe , von Laszewski Gregor , Theran Carlos , Parra Bautista Yohn Jairo
Published: July 2022

Digitization is changing our world, creating innovative finance channels and emerging technology such as cryptocurrencies, which are applications of blockchain technology. However, cryptocurrency price volatility is one of this technology’s main trade-offs. In this paper, we explore a time series analysis using deep learning to study the volatility and to understand this behavior. We apply a long short-term memory model to learn the patterns within cryptocurrency close prices and to predict future prices. The proposed model learns from the close values. The performance of this model is evaluated using the root-mean-squared error and by comparing it to an ARIMA model.
Automatic Atrial Fibrillation Arrhythmia Detection Using Univariate and Multivariate Data
Authors: Haddi Zouhair , Ananou Bouchra , Alfaras Miquel , Ouladsine Mustapha , Deharo Jean-Claude , Avellana Narcís , Delliaux Stéphane
Published: July 2022

Atrial fibrillation (AF) is still a major cause of disease morbidity and mortality, making its early diagnosis desirable and urging researchers to develop efficient methods devoted to automatic AF detection. Till now, the analysis of Holter-ECG recordings remains the gold-standard technique to screen AF. This is usually achieved by studying either RR interval time series analysis, P-wave detection or combinations of both morphological characteristics. After extraction and selection of meaningful features, each of the AF detection methods might be conducted through univariate and multivariate data analysis. Many of these automatic techniques have been proposed over the last years. This work presents an overview of research studies of AF detection based on RR interval time series. The aim of this paper is to provide the scientific community and newcomers to the field of AF screening with a resource that presents introductory concepts, clinical features, and a literature review that describes the techniques that are mostly followed when RR interval time series are used for accurate detection of AF.
ZenoPS: A Distributed Learning System Integrating Communication Efficiency and Security
Authors: Xie Cong , Koyejo Oluwasanmi , Gupta Indranil
Published: July 2022

Distributed machine learning is primarily motivated by the promise of increased computation power for accelerating training and mitigating privacy concerns. Unlike machine learning on a single device, distributed machine learning requires collaboration and communication among the devices. This creates several new challenges: (1) the heavy communication overhead can be a bottleneck that slows down the training, and (2) the unreliable communication and weaker control over the remote entities make the distributed system vulnerable to systematic failures and malicious attacks. This paper presents a variant of stochastic gradient descent (SGD) with improved communication efficiency and security in distributed environments. Our contributions include (1) a new technique called error reset to adapt both infrequent synchronization and message compression for communication reduction in both synchronous and asynchronous training, (2) new score-based approaches for validating the updates, and (3) integration with both error reset and score-based validation. The proposed system provides communication reduction, both synchronous and asynchronous training, Byzantine tolerance, and local privacy preservation. We evaluate our techniques both theoretically and empirically.
Performance Evaluation of Open-Source Serverless Platforms for Kubernetes
Authors: Decker Jonathan , Kasprzak Piotr , Kunkel Julian Martin
Published: July 2022

Serverless computing has grown massively in popularity over the last few years, and has provided developers with a way to deploy function-sized code units without having to take care of the actual servers or deal with logging, monitoring, and scaling of their code. High-performance computing (HPC) clusters can profit from improved serverless resource sharing capabilities compared to reservation-based systems such as Slurm. However, before running self-hosted serverless platforms in HPC becomes a viable option, serverless platforms must be able to deliver a decent level of performance. Other researchers have already pointed out that there is a distinct lack of studies in the area of comparative benchmarks on serverless platforms, especially for open-source self-hosted platforms. This study takes a step towards filling this gap by systematically benchmarking two promising self-hosted Kubernetes-based serverless platforms in comparison. While the resulting benchmarks signal potential, they demonstrate that many opportunities for performance improvements in serverless computing are being left on the table.
Studies on the Effects of Process Conditions on Separation of B1, B2 and B3 Vitamin Mixture Using HILIC and RPLC Chromatography
Authors: Chutkowski Marcin , Ziobrowski Piotr , Przywara Mateusz , Kamińska Justyna , Zapała Wojciech
Published: July 2022

In this work, a series of experiments on the retention of B1 (riboflavin), B2 (thiamine) and B3 (nicotinic acid) vitamins in the HILIC and RPLC conditions have been performed involving the effects of organic modifier type and content, pH of the eluent and buffering salt (ammonium acetate) concentration in the mobile phase as well as temperature of the system. For the needs of this study, three columns of different features have been chosen: Acclaim™ Mixed–Mode HILIC–1 (Dionex, Sunnyvale, CA, USA), Eurospher II 100–5 HILIC (Knauer, Berlin, Germany) and the RPLC column Nucleodur® C18 Gravity-SB (Macherey-Nagel, Duren, Germany). The influence of acetonitrile and methanol content in the eluent and process temperature have been tested and, based on that, the most promising systems have been selected regarding the possible separation of the vitamin mixture. Both the pH and buffering salt concentrations in the eluent have been adjusted in order to indicate the most effective system, which turned out to be the one involving the Nucleodur column and the eluent with 90% methanol, at pH 6 and Cbuff = 20 mmol/dm3, which enables separation of the mixture within a time as short as 2.5 min at a 1.0 mL/s flowrate in isocratic conditions.
Trampling Analysis of Autonomous Mowers: Implications on Garden Designs
Authors: Sportelli Mino , Luglio Sofia Matilde , Caturegli Lisa , Pirchio Michel , Magni Simone , Volterrani Marco , Frasconi Christian , Raffaelli Michele , Peruzzi Andrea , Gagliardi Lorenzo , Fontanelli Marco , Sciusco Giuliano
Published: July 2022

Several trials have been carried out by various authors concerning autonomous mowers, which are battery-powered machines. The effects of these machines on turfgrass quality and energy consumption have been thoroughly investigated. However, there are still some aspects that have not been studied. Among these, random trajectory overlapping is one of the most important. To investigate these aspects, two RTK-GPS devices along with the custom-built software used for previous trials has been upgraded in order to precisely calculate how many times the mower drives over the same spot using random trajectories. This parameter, the number of passages in the same position, was hypothesized to explain the autonomous mower’s overlapping and trampling action. The trial has been carried out testing a commercial autonomous mower on three areas with different levels of complexity to assess its performances. The following variables were examined: the percentage of mowed area, the distance travelled, the number of intersections, the number of passages, and the autonomous mower’s work efficiency. The average percentage of area mown (average value for the three areas) was 54.64% after one hour and 80.15% after two hours of work. Percentage of area mown was 15% higher for the area with no obstacles after two hours of work. The number of passages was slightly different among the three garden designs. The garden with no obstacles obtained the highest number of passages with an average of 37 passages. The highest working efficiency was obtained in the garden with an intermediate number of obstacles with a value of 0.40 after two hours of work. The estimated energy consumption resulted 0.31 Wh m−2 after one hour and 0.42 Wh m−2 after two hours of working. These results highlight how the correct settings of cutting time may be crucial to consistently save energy during the long period and may be useful for a complete automation of the maintenance of green areas.
Effect of Biochar Application to Fertile Soil on Tomato Crop Production under Saline Irrigation Regime
Authors: Hazman Mohamed Y. , El-Sayed Mohamed E. A. , Kabil Farida F. , Helmy Nourhan A. , Almas Lal , McFarland Mike , Shams El Din Ali , Burian Steven
Published: July 2022

Biochar application is a promising sustainable strategy for enhancing soil properties thus crop production. However, biochar application to soil certainly alters its biological and physical properties, and could require extra costs. Therefore, biochar suitability to agroecosystems must be proactively estimated. The advantage of biochar addition to poor fertile or weathered soils has been well studies, however, its feasibility to fertile soil under low quality (saline) irrigation water was not frequently studied. Consequently, this work investigates the hypothesis of whether the application of biochar at a rate of 4.8 tons/ha to fertile soil (Nile Valley, Giza, Egypt) would ameliorate the negative effects of saline irrigation regime (3000 ppm) on tomato crop and soil. The results of two seasons experiments showed that saline irrigation significantly reduced tomato crop yield by an average reduction ratio of 51%, and biochar addition could not compensate such reduction. Furthermore, biochar did not reduce accumulated Na+ in fruits or roots. Tomato fruits produced from biochar-added soil were lower in TSS levels (41.7% reduction ratio) yet larger in diameter by approximately 1.5-fold increase. Interestingly, biochar addition into soil greatly promotes the length of stem-borne lateral roots and elevates the expression of LeNR (encodes nitrate reductase enzyme) in leaves yet under fresh irrigation regime. For soil properties, biochar application enhanced the soil properties under either saline or fresh water irrigation conditions. Collectively, it is assumed that biochar application to fertile soil in Nile Valley of Egypt could not alleviate tomato fruits yield reduction affected by applied saline irrigation regime.
Impact of Collembola on the Winter Wheat Growth in Soil Infected by Soil-Borne Pathogenic Fungi
Authors: Gruss Iwona , Twardowski Jacek , Matkowski Krzysztof , Jurga Marta
Published: July 2022

The activity of some soil organisms can significantly influence the growth of plants. One of the more common are Collembola, which play an important role in suppressing soil-borne pathogens such as Fusarium spp. Here, Folsomia candida was taken for laboratory studies. The aim of the study was to assess whether springtails influence the growth of wheat and pea plants. The purpose was also to evaluate whether Collembola will reduce the occurrence of fungal diseases, presumably by feeding on fungi. The factors tested were (1) wheat grown individually or in the mixture with pea; (2) number of Collembola; and (3) the pathogenic presence of the plant fungus Fusarium culmorum. The experiment was carried out in four replicates for each treatment in two series. The soil used for the test was a mixture of field soil, sand, and peat. The following analyses were performed: measuring plant growth and decomposition rate, assessment of plant infection, and assessment of F. culmorum in springtails bodies. There was no effect of F. culmorum infection on plant growth, although the pathogen was present in the root neck of the plants incubated with this fungus. Collembola decreased the number of fungus colonies isolated from plants by about 45% in comparison to pots incubated without these organisms. The decomposition of plant biomass was accelerated by springtails by about 7% in the pots with moderate Collembola number. However, this was not related to improved plant growth. Additionally, F. culmorum was isolated from the bodies of Collembola, indicating its ability to feed on this fungus. To conclude, it was found that Collembola can decrease pathogenic fungal growth. This issue needs further studies in relation to other plants and fungus species, as well to study observed effects in the field conditions.
Integrated Approaches for Adsorption and Incorporation Testing of Green-Synthesized TiO2NPs Mediated by Seed-Priming Technology in Punica granatum L.
Authors: Abdelmigid Hala M. , Alyamani Amal Ahmed , Hussien Nahed Ahmed , Morsi Maissa M. , Alhumaidi Afnan
Published: July 2022

Seed priming is a novel approach that is undertaken to improve seed germination and therefore potentially enhance growth and yield. Low-cost, eco-friendly, and efficient seed treatment as a means of enhancing growth and yield is still being sought for high-value crops such as pomegranates (Punica granatum L.), particularly in areas situated at high altitudes such as the Taif region. The uptake of nanoparticles (NPs) by plants provides a potential pathway for NP exposure. Therefore, it is imperative to understand NP uptake via seed priming and their unique properties within plants. In the present study, titanium dioxide nanoparticles (TiO2NPs) were green-synthesized and utilized as priming agents for pomegranate seeds at a concentration of 40 mg/mL for 24 h. The adsorption of NPs was verified by scanning electron microscopy (SEM) and energy dispersive X-ray analysis/spectroscopy (EDX), while their incorporation was detected by transmission electron microscopy (TEM). To validate the EM results, X-ray fluorescence (XRF) and inductively coupled plasma optical emission spectroscopy (ICP–OES) techniques were further undertaken. The results confirmed the successful synthesis of pure anatase TiO2NPs by employing aqueous extracts of pomegranate fruit peel (PPE) and coffee ground beans (CE). All of the analytical techniques employed in this research confirmed the incorporation of TiO2NPs inside seeds, even after storage during priming treatment. This study lays the foundation for future sustainable seed technologies in terms of crop productivity and seed germination.
The Fraction of Intercepted Radiation to Nitrogen Absorption as an Indicator for Assessing Physiological Nitrogen Use Efficiency in Rice
Authors: Huang Min , Chen Jiana , Cao Fangbo
Published: July 2022

Improving nitrogen (N) use efficiency is important for achieving sustainable rice production in China. Physiological N use efficiency (PNUE) is a measure of a plant’s ability to convert absorbed N into biomass, and can be calculated as the product of the fraction of intercepted radiation to N absorption (FIRNA) and radiation use efficiency (RUE). This study evaluated the relationships between PNUE with FIRNA and RUE in three widely grown, high-yielding rice varieties using data obtained from two N fertilization experiments conducted in 2020 and 2021. The results show that PNUE was significantly positively related to FIRNA, but not significantly related to RUE in all three rice varieties. PNUE increased by 7.4–10.3 g g−1 for each 10 MJ g−1 increase in FIRNA. These results suggest that FIRNA can serve as an indicator for assessing PNUE in rice, which has implications for the phenotypic identification of rice varieties with high PNUE.