bluuebunny/crossref_metadata_2025 huggingface dataset:
The Relationship between Thoracic Trauma Scoring and Mortality in Blunt Thoracic Trauma Patients at Dr. Mohammad Hoesin General Hospital, Palembang, Indonesia
Authors: Ahmat Umar  , Marrantiza Satria , Theodorus
Published: June 2023

Introduction: Closed thoracic trauma is frequently associated with rib fractures and pulmonary contusions. Thoracic trauma can be life-threatening if it is not treated immediately and properly. This study aimed to determine the relationship between thoracic trauma scoring and mortality in blunt thoracic trauma patients in sub-population Indonesia, especially at Dr. Mohammad Hoesin General Hospital, Palembang, Indonesia.

Methods: This study is a cross-sectional observational study. A total of 70 research subjects participated in this study. Data analysis was carried out using SPSS in univariate and bivariate to determine the relationship between thoracic trauma scoring and mortality.

Results: There is a significant relationship between CTS scores and mortality (p = 0.000). Patients with a CTS score ≥ 5 were significantly more at risk of dying than patients with a CTS score < 5 (p = 0.000).

Conclusion: There is a relationship between CTS score and blunt trauma patient mortality thorax at Dr. Mohammad Hoesin General Hospital, Palembang, Indonesia.
Nexus Between Public Relations and Sales Performance: Evidence of Marketing Strategies Used by Insurance Brokers in Kenya
Authors: Inganga Maryline , Kibe Lucy
Published: June 2023

Insurance brokers in Kenya are adopting public relations strategy as one of the marketing strategies to help them enhance sales in a business environment that faces tight competition and stagnation, which has hindered them from registering modest profits. The aim of the survey was to evaluate the role of public relations on the sales performance of insurance brokers in Kenya. The theoretical framework focused on social marketing theory. The researcher adopted a descriptive survey design, which entails the description of characteristics of the variables of interest. The researcher applied a census design where each one in the target population was selected to take on the exercise. The entire target population consisting of 188 staff comprised of marketing managers of insurance broking companies in Kenya who took part in the study. Cronbach`s alpha coefficient was utilised as a method of measuring reliability in the study; the data was collected using a structured questionnaire which was pilot tested among a sample of 18 respondents. The surveyor utilised a quantitative research method in this study. Data was analysed and presented using cumulative frequency tables. Multiple linear regression analysis was adopted. Sales statistics, brand mentions/publicity, lead generation, physical and digital marketing. The results concluded that public relations strategy had a highly significant influence on the sales performance of insurance brokers. Thus, affirms that public relations is the power behind enhancing business relationships, heightening business retention, and spreading good publicity which contributes positively towards the sales performance of insurance brokers
Problematika Pembelajaran Yang Dihadapi Selama Pandemi Covid-19
Authors: Putri Dwiyanti  , Sujarwo Sujarwo
Published: June 2023

The purpose of this study is to identify related learning problems faced during the Covid-19 pandemic. The problem that occurs by some parties who feel this is certainly as a result of the enactment of distance learning from 2020 to the present. This research uses qualitative methods with data collection techniques through observation, interviews, documentation, and literature studies. The participants were 6 people, each consisting of students, teachers, and parents who felt the problem in the Jakarta area. The result of this study is that there are several learning problems faced during the Covid-19 pandemic in distance learning activities, namely the problem of students lacking facilities that can support the implementation of online learning, network constraints, conditions of the residential environment that are not conducive, limited students in understanding the material that has been given by teachers, and often experiencing saturation during learning activities. The problem of teachers is required to be able to adapt, not ready supporting facilities for teachers, limitations in controlling the classroom during learning activities, and the difficulty of teachers in providing assessments to students. Finally, parents are required to adapt and transform to online media used by schools, problems of daily busyness, and problems with student devices or communication tools to participate in learning activities
Kekerasan Seksual di Lingkungan Pendidikan dan Pencegahannya
Authors: Sopyandi Sopyandi , Sujarwo Sujarwo
Published: June 2023

Cases of sexual violence in Indonesia in the near future are always increasing from year to year, and victims are not only adults but also children, including in religious circles (pesantren). The phenomenon of sexual violence against children is becoming more and more common and has become a special concern in the world of education. The increase in cases of sexual violence is seen in the quantity or number of cases that occur. And to make matters worse, the perpetrators come from an educational environment such as a boarding school which is an Islamic educational institution. The method used in this research is the case study method. The focus of this article is sexual violence in pesantren and its prevention. With efforts to provide sex education, the mindset of providing sex education to students from an early age is important and not taboo
Analisis Kreatifitas Produk Klanting Terhadap Keberhasilan Perkembangan UKM di Tahai Baru Kecamatan Maliku Kabupaten Pulang Pisau
Authors: Kuwing Baboe  , Maria Haryulin Astuti  , Fendy Hariatama  , Alexandro Rinto
Published: June 2023

Improved quality and creativity of workers, as reflected by the average level of education which is getting better, has a positive impact on work productivity. Likewise, efforts to improve skills and workforce training accompanied by the application of appropriate technology have an impact on increasing work productivity. Every business or business wants to get business success that utilizes local potential, namely local wisdom in the area, a business is said to be successful if it earns profit, even though profit is not the only aspect that is assessed from the success of a business, but the reason profit is an important factor is because profit is the goal of people who do business. If there is a decrease or instability in profits, the business will find it difficult to operate its business activities and maintain its business resilience. The purpose of this study was to analyze and describe Production Creativity on the Success of Small and Medium Enterprises (UKM) of Klanting in Tahai Baru Village, Maliku District, Pulang Pisau Regency. This type of research is qualitative research. This study involved 4 (four) informants. The results of the study show that production creativity influences business success. Overall there was an increase in sales and turnover. The new production creativity is more advanced than the old creativity. Creative ideas often arise when entrepreneurs see something old and think something new and different. Therefore creativity is creating something from nothing.
Youtube For Developing Technological Skill
Authors: Kristiawan Muhammad , Oka I Gusti Agung Ayu Mas , Haenilah Een Yayah , Wachidi Wachidi , Ediansyah Ediansyah , Aprianto Iwan , Zulinto Ahmad , Perrodin David D , Utama Hendri Budi
Published: June 2023

There are many teachers do not have skill on operating computer specially to make materials interesting for their students. This study was to improve the technological skills of students, particularly those who teach online. In this study, we attempted to determine how students may utilize YouTube as a medium to strengthen their technological skills. This study was carried out by us with the help of students who took the Education Management Course as the subject of study. The data collection technique used in this study was observation sheets, which were  then used to answer the formulation of how the student responses related to the video-making project in the Education Management Course uploaded on YouTube; then, to answer the formulation of how the student’s activities on Education Management, we asked students to complete their video projects and upload them on YouTube; and to answer the formulation of whether the use of YouTube can develop technological skills of students, observation sheets was used. This study concludes that respondents are able to edit and upload video about Education Management on YouTube.
Regression Model-Based Short-Term Load Forecasting for Load Despatch Centre
Authors: Gochhait Saikat , Sharma Deepak
Published: June 2023

Forecasting load is an integral part of the planning, operation, and control of power systems. This paper is part of a research effort aimed at developing better energy demand forecasting models for load dispatch centers (LDCs) in Indian states as part of an ambitious project utilizing artificial intelligence-based load forecasting models. In this paper, we present a half hourly load forecasting method for the energy management system of the project that will be used at 33 /11 kV and 0.415 kV substations with good accuracy. The paper uses the half-hourly load consumption dataset collected from MSEDCL for Maharashtra from July 1, 2020 through August 31, 2022. This paper evaluates 24 regression model-based half hourly based load forecasting algorithms for ALE PHATA load based on the load consumption dataset and the collected meteorological dataset. The 24 models in MATLAB Regression belong to five types of regression models: Linear Regression, Regression Trees, Support Vector Machines (SVM), Gaussian Process Regression (GPR), Ensemble of Trees, and Neural Networks. As a consequence of their nonparametric kernel-based probabilistic nature, the GPR family of models demonstrates the best load forecasting performance. Least squares estimation was used to determine the regression coefficients. There is a direct correlation between load in an electrical power system and temperature, due point, and seasons, as well as a correlation between load and previous load consumption. Therefore, the input variables are Wet Bulb Temperature at 2 Meters (C), Dew/Frost Point at 2 Meters (C), Temperature at 2 Meters (C), Relative Humidity at 2 Meters (%), Specific Humidity at 2 Meters (g/kg) and Wind Speed at 10 Meters (m/s). The mean absolute percentage error and the R squared are used to validate or verify the accuracy of the model, which is shown in the results section.  Based on this study, two GPR models are recommended for load forecasting, the Rational Quadratic GPR and the Exponential GPR and Exponential GPR as final model.
Transport Demand Management Strategy Priority Assessment Based on Expert Judgment
Authors: Kresnanto Nindyo Cahyo , Putri Wika Harisa
Published: June 2023

The main problem of transportation is the very high growth of vehicles causing congestion, resulting in various derivative impacts such as pollution, fuel waste, time value, and other environmental problems. This problem can be solved by Transportation Demand Management (TDM). TDM is a combination of various strategies, which strategy should be chosen whose priority depends on the conditions of each region. This research was conducted in a medium-scale city by determining the priority of TDM using the Analytical Hierarchy Process (AHP) tool. The final result of the judgment is the priority weight of the TDM strategy that will be applied with a CR value of < 10%, namely the pull strategy. This strategy is represented by improving public transport services and infrastructure (especially the integration of public transport services). This study shows that the strategy group with a high AHP Consensus Index (ACI) score means a high consensus among experts.
Sensitivity Study of The Effect Polymer Flooding Parameters to Improve Oil Recovery Using X-Gradient Boosting Algorithm
Authors: Erfando Tomi , Khariszma Rizqy
Published: June 2023

Implementation of waterflooding sometimes cannot increase oil recovery effectively and requires additional methods to increase oil recovery. Polymer flooding is a common chemical EOR method that has been implemented in the last few decades and provides good effectiveness in increasing oil recovery and can reduce the amount of injection fluid injected into the reservoir. Seeing the success of polymer flooding in increasing oil recovery, it is necessary to know the parameters that influence the success of polymer flooding so that it can be evaluated and taken into consideration in creating a new scheme to increase oil recovery with polymer flooding. The parameters tested in this study include Injection Rate, Injection Time, Injection Pressure, Adsorption, Inaccessible Pore Volume, Residual Resistance Factor. This research uses the X-Gardient Boosting Algorithm to look at the most influential parameters in polymer flooding. The parameters that most influence the performance of polymer flooding on the value of oil recovery with the importance level of each parameter in this study are injection time of 0.452632, injection rate of 0.430075, injection pressure of 0.064662, Adsorption of 0.025564, RRF of 0.021053, IPV of 0.006014 and produce accurate predictive modeling using x-gradient boosting where with 3 variations of the comparison ratio of training and testing data obtained at a ratio of 0.7 : 0.3 obtained an R2 train of 0.9886 and an R2 test of 0.9645, a ratio of 0.8 : 0.2 obtained an R2 train of 0.9891 and an R2 test of 0.9579, and a ratio of 0.9: 0.1 obtained R2 train of 0.9890 and R2 test of 0.9660.
A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board Computer
Authors: Erlina Tati , Fikri Muhammad
Published: June 2023

In Indonesia, assistance for small enterprises has grown in recent years. However, a monitoring system is required to support these enterprises and ensure their expansion and survival. Using a single-board computer and the YOLO algorithm, we construct a visitor tracking system in this study to meet this demand. To capture objects and categorize them as human or non-human, we employ the YOLOv4-tiny model, which has a mAP of 89.21%. Human visitors are welcomed with the use of a speaker. A telegraph bot that notifies the owner of the retail establishment of the visitor's presence also makes the presumption as to whether the visitor is a potential customer or an intruder. Our research demonstrates that the created monitoring system effectively recognizes and categorizes visits, enabling retail store owners to make defensible choices regarding visitor interaction and security precautions. Small business owners can save personnel costs while still maintaining high levels of client engagement and security. The theoretical application of this research is the creation of a visitor monitoring system that is affordable and may be used in small enterprises, particularly in Indonesia. The practical ramifications of our research include the possibility for small retail business owners to boost profits by lowering labor expenses while raising customer satisfaction and security. The importance of our study lies in its role in creating a monitoring system that will support small enterprises and increase their sustainability.
An Exploratory-Descriptive Review of The Potential For Halal Management Implementation in Indonesian Leather Businesses
Authors: Nurainun Tengku , Talib Hayati Habibah Abdul , Jamaludin Khairur Rijal , Yusof Shari Mohd , Putri Nilda Tri , Lestari Fitra
Published: June 2023

The need to apply halal management practices to non-food industries today is still merely seen as a necessity to meet the requirements of Islamic rules. Meanwhile, this approach has demonstrated that it can improve organizational efficacy in a variety of contexts. This study seeks to investigate the depth of halal principles implementation among leather industries and comes up with strategies for how small and medium-sized enterprises (SMEs) in the leather industry can use halal management practices to move toward halal certification and enhance its performance. An exploratory-descriptive approach was used to get the current state of halal practices among leather industry SMEs through interviews and survey questionnaires. Five stakeholders were interviewed in a semi-structured manner. A survey questionnaire was distributed to 127 SMEs in the leather industry center of Sukaregang, Garut, Indonesia. This paper discusses the key factors of halal implementation and determines which halal practices need more emphasis. The result showed that the current knowledge, awareness, and implementation of halal requirements among leather SMEs in Indonesia are still low. An action plan for the industry, authority, and supplier was provided.  The implication of this research can contribute to the leather industry players that intent to implement halal management system effectively and stakeholders in making decision to accelerate halal certification process.
Financial Viability of Business Models For Engineered Vertical Hydroponics Systems For Sustainable Onion Production in The Philippines
Authors: Armas Kenneth L. , Lorenzo Engr. Gina , Cruz Catherine Dela
Published: June 2023

This study aimed to explore the financial, socio-economic, and environmental benefits of sustainable onion production using vertical farming and hydroponic systems, and to identify key factors affecting the viability of these business models. Data were collected through a survey of onion farmers and producers in the Philippines, and analyzed using descriptive and inferential statistics. Results showed that sustainable onion production using vertical farming and hydroponic systems has the potential to generate higher income for farmers, increase employment opportunities, improve food security, enhance market competitiveness, and promote environmental sustainability. Key financial factors affecting viability included production costs, market prices, yield, labor costs, energy costs, capital costs, financing costs, taxes and regulatory costs, and maintenance and repair costs. Recommendations for optimizing financial viability include reducing production costs, diversifying income streams, and improving market competitiveness. Overall, this study suggests that sustainable onion production using vertical farming and hydroponic systems is a viable and promising approach to achieving socio-economic and environmental sustainability in the agricultural sector.
The Impact of Tax Reform on Economic Growth in Sudan
Authors: Abdulrahman Badreldin Mohamed Ahmed , Benlaria Houcine , Yahya Hamza Abdallah Abdalrhman , Abdallah Abderhim Elshazali Yahia , Helal Tarig Osman Abdallah , Eltahir Ibrahim Ahmed Elamin , Elkarim Saeed Hassan Elaageb Hasab , Elkhalifa Babiker Elyasa
Published: June 2023

Tax reform is an important policy tool for governments to promote economic growth. It is an important aspect of economic policy as it can have a significant impact on the overall health of the economy. Furthermore, tax reform, foreign direct investment, population growth, and economic activity are all closely related. This study aims to examine the impact of tax reform on economic growth in Sudan from 1961 to 2021. For this purpose, the study used the gross domestic product as the dependent variable representing economic growth (Y), while the explanatory variables represented tax reform (X1), population growth (X2), and foreign direct investment (X3). The data were collected from the World Bank database. The study applied the ordinary least squares technique, and the obtained results showed that while population growth and foreign direct investment play a significant role in economic growth, tax reform has a little bite impact on Sudan's economic growth during the period under study. So that by reforming the tax system, governments can create a more efficient and fair system that encourages economic growth and investment.
Bilden och fotografiet
Authors: Åström Anna-Maria
Published: June 2023

Detta nummer av Budkavlen handlar om bilder och fotografier. Med de senaste årens allt mer påträngande bildflöde har det blivit angeläget för både etnologin och folkloristiken att ge akt på hur olika typer av bilder påverkar oss och hur vi också med hjälp av bilder får ett grepp om vår verklighet. En typ av bilder som de flesta nuförtiden är med om att skapa är fotografier, isynnerhet som den nutida tekniken gör det möjligt att snabbt, i realtid, skapa en digital repertoar som speglar olika sidor av vårt eget liv. Fotografiet har naturligtvis länge haft en särställning inom speciellt etnologin, som ett dokumentationsinstrument över aktuella eller i varje fall tillgängliga fenomen i de samfund vi undersökt. Det har sedermera kunnat betraktas som särpräglad vittnesbörd om dessa fenomen. Dokumentationsaspekten är dock bara en aspekt av fotografiet, visserligen basen och i begynnelsen grundidén till de etnologiska arkiv som grundats som depåer över insamlat fältmaterial och senare även annat fotografiskt material som donerats till arkiven. Med den ökade och ökande kunskapen om det oerhört mångbottnade i bildframställning och -reception överlag och isynnerhet vad gäller fotografier är det angeläget att peka på bildernas användning och tolkning i vardagen och inom forsknings- och arkivvärlden.
Successful extirpation of a perforated esophagus after chemo radiotherapy in infiltrative ulcerative squamous cell carcinoma
Authors: Rogova T. S. , Sakun P. G. , Gevorkyan Yu. A. , Vlasov S. G. , Rozenko L. Ya. , Malinin S. A. , Karnaukhova E. A. , Rodionova O. G. , Komandirov M. A. , Kaimakchi O. Yu. , Soldatkina N. V. , Gorbunova E. A.
Published: June 2023

Esophageal cancer is one of the most aggressive malignant neoplasms of the gastrointestinal tract, occupying the eighth place in the structure of morbidity worldwide. Despite comprehensive approaches to treatment, mortality continues to grow in both gender groups, which moves this pathology to the sixth position in the structure of mortality from malignant tumors. A lot of patients undergo radiation therapy in the preoperative period or in an independent version due to the peculiarities of the localization of the tumor or the spread of the process. One of the serious complications of the disease on the background of ongoing conservative therapy is perforation of the esophagus, which, according to the literature, can develop from 5.6 to 33 % of cases, and the risk factors for the development of this complication are infiltrative-u lcerative form of cancer, disease stage T3–4 and the presence of esophageal stenosis, as well as the use of chemotherapy drugs such as fluorouracil and cisplatin. The article describes a clinical case of esophageal perforation in a patient with infiltrative-u lcerative form of squamous cell carcinoma of the esophagus on the background of preoperative chemoradiotherapy. The total focal dose (TFD) at the time of complication development was 24 Gy. As a result of a comprehensive additional examination, which revealed a developed complication in the form of perforation of the esophagus, an interdisciplinary council decided on an immediate surgical intervention, during which extirpation of the esophagus with gastro- and esophagostomy was performed. The patient was discharged on the 15th day in a satisfactory condition with a recommendation to conduct an IHC study for the presence of PD-L1 expression to determine further management tactics. This clinical case demonstrates the role of the infiltrative- ulcerative form of tumor growth, the stage of the disease, as well as the use of chemotherapy drugs during radiation treatment as risk factors for the development of esophageal perforation; an important task at the prehospital stage in the selection of such patients is a thorough examination in specialized oncological centers to exclude possible complications in the process of the above conservative treatment.
La integración de las TIC en la formación docente: retos y oportunidades para la profesionalización y actualización de los educadores
Authors: Cobeña Napa Miguel Angel , Panchana Vera Rosa Elena , Parrales Mendoza Daniel Gustavo , Vélez-Falcones Ana Cecilia , Moreira García Onaira Karina
Published: June 2023

El presente artículo de revisión titulado "La integración de las TIC en la formación docente: retos y oportunidades para la profesionalización y actualización de los educadores" tiene como objetivo analizar y discutir la importancia de las Tecnologías de la Información y la Comunicación (TIC) en el proceso de formación y actualización del profesorado. Para ello, se llevó a cabo una revisión sistemática de la literatura, utilizando criterios de selección rigurosos y abarcando estudios publicados en español en bases de datos relevantes como Scopus en los últimos cinco años.

La metodología empleada incluye el análisis de categorías temáticas, como la competencia digital docente, la formación inicial y continua del profesorado, el uso de dispositivos móviles y el desarrollo de modelos de formación en TIC. Además, se discuten propuestas formativas y estrategias de evaluación de la competencia digital docente.

Los principales hallazgos revelan que la formación en TIC es fundamental para que los docentes se adapten a los desafíos y exigencias del siglo XXI, y que la competencia digital docente es una habilidad crucial para el éxito en la práctica pedagógica. También se evidencia la necesidad de una formación inicial y continua más sólida y estructurada, que promueva el uso de las TIC como herramientas de aprendizaje y enseñanza. Finalmente, se destaca la importancia de desarrollar y aplicar instrumentos de evaluación adecuados para medir la competencia digital docente y garantizar su mejora en el tiempo.
Técnicas y procedimientos de enfermería
Authors: Muñoz Navarro María Paulina , Cadena Palacios Cristina Nataly , Rodríguez Cisneros Luz Marina , Navarrete Pilacuán Martha Patricia
Published: June 2023

Esta guía se desarrolla como material docente para los alumnos del primer semestre de la carrera de Técnicos en enfermería del Instituto José Chiriboga Grijalva (ITCA), para ser utilizado en el aprendizaje teórico y práctico. Se ubica en la unidad curricular profesional, dentro del campo de formación de la adaptación e innovación tecnológica. Emplear las técnicas y procedimientos de Enfermería como medida terapéutica en la atención de las principales enfermedades de aparatos o sistemas en la población ecuatoriana, considerando los valores, principios bioéticos e implicaciones de la práctica profesional del cuidado humano. Los procedimientos generales que componen esta guía están sustentados por la mejor evidencia científica, y están disponibles para ser consultados, con la certeza de prestar cuidados enfermeros con los mismos estándares de calidad. Un aspecto innovador y muy importante, de esta guía, es la inclusión explícita de puntos críticos de seguridad para el paciente, es decir, aquellos que pueden ocurrir en alguna de las fases del procedimiento. Los procedimientos clínicos son instrumentos de protocolización que se definen como una secuencia pormenorizada de acciones que se han de llevar a cabo en una situación dada, tratando de sistematizar cuáles son y cómo se han de proporcionar los cuidados. Los procedimientos, además, tienen un carácter claramente normativo, aspecto que constituye en sí mismos un respaldo legal, que proporciona a los profesionales seguridad en su quehacer cotidiano. Finalmente se ha elaborado la presente guía por áreas de atención de acuerdo al nivel de complejidad, comprende: Las guías de procedimientos básicos, las guías de los procedimientos del Sistema Respiratorio, las guías de los procedimientos del Sistema Cardiovascular, guías de los procedimientos del sistema Gastro intestinal. Estimados estudiantes no se rindan que la vida, es eso continuar el viaje, perseguir sus sueños, ya que el éxito es la suma de pequeños esfuerzos repetidos día tras día.
Sistema Estabilizador y reductor de Flujo Luminoso para el Ahorro Energético en Alumbrado Público de Corpoelec Capital
Authors: Méndez Duran Jesús Heriberto.
Published: June 2023

Sistema Estabilizador y reductor de Flujo Luminoso para el Ahorro Energético en Alumbrado Público de Corpoelec Capital
LSTM Inefficiency in Long-Term Dependencies Regression Problems
Authors: Safwan Mahmood Al-Selwi  , Mohd Fadzil Hassan  , Said Jadid Abdulkadir  , Amgad Muneer
Published: June 2023

Recurrent neural networks (RNNs) are an excellent fit for regression problems where sequential data are the norm since their recurrent internal structure can analyse and process data for long. However, RNNs are prone to the phenomenal vanishing gradient problem (VGP) that causes the network to stop learning and generate poor prediction accuracy, especially in long-term dependencies. Originally, gated units such as long short-term memory (LSTM) and gated recurrent unit (GRU) were created to address this problem. However, VGP was and still is an unsolved problem, even in gated units. This problem occurs during the backpropagation process when the recurrent network weights tend to vanishingly reduce and hinder the network from learning the correlation between temporally distant events (long-term dependencies), that results in slow or no network convergence. This study aims to provide an empirical analysis of LSTM networks with an emphasis on inefficiency in long-term dependencies convergence because of VGP. Case studies on NASA’s turbofan engine degradation are examined and empirically analysed.
Calcium Oxide Nanoparticle Production and its Application as Photocatalyst
Authors: Asep Bayu Dani Nandiyanto  , Brigitta Stacia Maharani  , Risti Ragaditha
Published: June 2023

This study aimed to synthesize and characterize calcium oxide (CaO) nanoparticles as a photocatalyst in the degradation process of indigo carmine (IC) dyes. Several steps were carried out to produce CaO nanoparticles by mixing 0.5 M of CaCl2 solution with various NaOH solutions (0.5; 0.8; and 1.0 M). Experimental results showed the prospective control of CaO particle sizes. The experiments also confirmed that the greater concentration of NaOH correlates with the greater yield of nanoparticles produced. The best condition to produce CaO nanoparticles was obtained when using the ratio of CaCl2: NaOH of 1:2. Additional results showed the difficulties in the production of CaO particles in the nanometer size, which is due to the existence of solid agglomeration, giving ideas to the need in putting some additional experimental steps. The photocatalytic degradation studies showed several factors affecting the photoreaction rate, including processing time, catalyst dosage, and dye concentration. CaO nanoparticles had the best performance in catalyzing indigo carmine in 50 minutes, which was shown by the combination of 10 mg of CaO nanoparticles and 80 ppm of dye concentration.
An Active Cyber Insurance Policy Against Cybersecurity Risks Using Fuzzy Q-Learning
Authors: Ahmad Kamal Ramli
Published: June 2023

Insurance is an extremely diversified from one clear-cut policy to another depending on a rising demand. Internet based businesses are a booming industry and falls under categories of small, medium and enterprise. It is no exception that cybersecurity risks are exponentially presents as a continues fears in this business environment. To ensure this insecurity is handled effectively, cyber insurance policies introduced by insurance companies. However, the nature of cyber risks must be addressed in much more robust and complex algorithms. Autonomic computing with the combination of Fuzzy and Q-Learning is introduced to ensure active policies are ready to handle the uncertainty and together with the ability to learn and mitigate the unrest situation.
Sales Forecasting Using Convolution Neural Network
Authors: Wan Khairul Hazim Wan Khairul Amir  , Afiqah Bazlla Md Soom  , Aisyah Mat Jasin  , Juhaida Ismail  , Aszila Asmat  , Rozeleenda Abdul Rahm an
Published: June 2023

Sales forecasting is an essential component of business management, providing insight into future sales and revenue. It is critical for effective inventory management, cash flow, and business growth planning. While many retailers rely on simple Excel functions or subjective guesses from management, the industry is increasingly turning to machine learning techniques to develop more accurate and reliable prediction models. Among these techniques, Convolutional Neural Networks (CNN) emerged as a suitable option due to their ability to learn and improve accuracy over time. CNN applies several layers to make predictions, adjusting their weights with each input data point to minimize prediction error. As a result, sales forecasting with neural networks can significantly improve market operations and productivity for businesses. The validity of the proposed model is compared with the Facebook Prophet method, which is known as the recent time series forecasting method.
Predicting Willingness to Donate Smartphones as a Reuse Option using Decision Tree Analysis
Authors: Shu-San Gan  , Siana Halim  , Debora Anne Yang Aysia  , Jessie Lestari
Published: June 2023

The increasing number of smartphone users in Indonesia, coupled with the short average usage time of smartphones, has posed a sustainability problem. Smartphone production requires natural resources including rare earth materials and energy, that need to be preserved due to their limited availability and depletion. Circular economy initiatives have become important in the last few decades, and one of them is extending product life by reusing discarded products. On the other hand, triggered by the Covid-19 pandemic, online learning has become an essential part of education. In Indonesia, marginalized communities or low-income societies have limitations in providing online learning tools such as desktop or laptop computers, including smartphones. Therefore, smartphone donation is considered a suitable initiative to help students who need a smartphone to join online learning while at the same time extending the useful life of a smartphone. Using decision tree techniques, we investigate the willingness to donate used smartphones for education in the Indonesian context. The results show that the respondents' willingness-to-donate was influenced by several considerations, which are performance, value (price), type, obsolescence of the used smartphone, and the donators’ age. The resulting parameters and predictions could enhance the effectiveness of the donation mechanism.
Kinetic Hydrolysis of Cellulose Biopolymer by Carbon Nanotubes Immobilized Cellulase
Authors: Nurul Dayana Azmi  , Muhammad Naziz Saat  , Mohamad Suffian Mohamad Annuar
Published: June 2023

Immobilized enzymes are widely used in various biochemical reactions due to higher stability and reusability. Immobilization enzyme is a process of confinement enzyme molecules onto/within a support or matrix material via the chemical or physical process. In this study, the effect of free and CNT-Immobilized cellulase was investigated for hydrolysis of different CMC concentrations. The effect of free and CNT-Immobilized cellulase on the kinetic parameters Vmax and Km in the CMC hydrolysis was compared. The maximum reaction velocity Vmax of CNT-Immobilized cellulase is similar to free cellulase which indicates cellulase adsorption in CNT is effective in hydrolyzing CMC. However, the observed Km values for CNT-Immobilized cellulase is higher than free cellulase for different CMC concentrations. The Km value for CNT-Immobilized shows a sharp decrease in substrate affinity as compared to free cellulase due to diffusional restrictions by the CNT matrix. In addition, the initial velocity (V0) of CMC hydrolysis by CNT-Immobilized cellulase shows similar increasing pattern with the increase of reaction mixture viscosity. The current preparation of CNT-Immobilized cellulase have almost the same catalytic reaction in CMC hydrolysis as free cellulase. Thus, the current preparation of CNT-Immobilized has significant potential for green and sustainable biocatalyst in cellulose-based biopolymer hydrolysis reaction.
Integer Based Fully Homomorphic DSP Accelerator using Weighted-Number Theoretic Transform
Authors: Shakirah Hashim  , Mohammed Benaissa
Published: June 2023

Fully Homomorphic Encryption (FHE) has gained wide attention in cloud security as it allows computation on encrypted data. However, it requires a huge key size, resulting in impractical execution time. In this paper, we proposed an FHE hardware accelerator employing Weighted-Number Theoretic Transform (NTT) multiplier. NTT parameters are selected, in a way that the proposed design is executable on Digital Signal Processing (DSP) multiplier, to exploit its high clock rate. As the NTT kernel, is in general form, it can be pre-computed and stored in Look-up Tables (LUTs). The same LUTs are also usable for weight-factor as they both have symmetric periodicity properties. This optimization has saved 70% of LUTs utilization. Next optimization is proposed on reduction within NTT. The special prime moduli are exploited to accomplish a simple operation, where inverse Montgomery multiplication is replaced with shift and subtraction. The proposed optimizations are implemented for FHE encryption and realized on Kintex 7 platform. A magnitude of 93.2% speedup improvement is achieved for Toy, compared to benchmark software implementation. As the proposed design is targeted for full DSP implementation, it achieved a higher clock frequency (249.19 MHz), while consuming lower hardware resources.
MATERIALISME MEMODERASI PENGARUH PENGETAHUAN KEUANGAN TERHADAP PERILAKU PENGELOLAAN KEUANGAN
Authors: Wirastuti Md Inneke Wirami , Astiti Ni Putu Yeni , Gama Agus Wahyudi Salasa
Published: June 2023

The research aimed to fill the research gap between the influence of financial know­ledge on financial management by using materialism as moderation. The sur­vey population was the number of populations based on the family card (KK) in the City of Denpasar. The sample in this study of 100 people from the community of Denpasar was determined based on simple random sampling. The analysis tech­nique used to test the hypothesis was Moderated Regression Analysis (MRA). Research results showed that financial knowledge was not sig­nificant to financial management behavior. Another finding was that materialism was unable to mode­rate the influence of financial knowledge on financial management behavior. Further research could develop this research by using other variables that theore­tically had an in­fluence on financial management behavior. Penelitian ini bertujuan untuk mengisi celah penelitian antara pengaruh pe­nge­tahuan keuangan pada pengelolaan keuangan dengan menggunakan materialisme sebagai moderasi. Populasi penelitian adalah jumlah kependudukan berdasarkan kar­tu keluarga (KK) di kota Denpasar. Sampel dalam penelitian ini sebanyak 100 orang masyarakat kota Denpasar yang ditentukan berdasarkan simple random sampling. Tek­nik analisis yang digunakan untuk menguji hipotesis adalah Moderated Re­gres­sion Analysis (MRA). Hasil penelitian menunjukkan bahwa pengetahuan keuangan ti­dak signifikan pada perilaku pengelolaan keuangan. Temuan lainnya adalah mate­ri­a­lisme tidak mampu memoderasi pengaruh pengetahuan keuangan pada perilaku pe­ngelolaan keuangan. Penelitian selanjutnya dapat mengembangakan penelitian ini dengan menggunakan variabel lain yang secara teori mempunyai pengaruh pada pe­ri­laku pengelolaan keuangan.
Automated Smart Floor Cleaner for Reducing Human Efforts
Authors: Ajees T  , Rishok R  , Binish C  , Shola P. Baby
Published: June 2023

The main goal of the "Floor Cleaning Machine" is to create an automated floor cleaning system that can effectively clean a variety of floor surfaces without the assistance of a human. With its sophisticated sensors, motors, and cleaning systems, the machine will be able to detect and remove dirt and debris from a variety of surfaces, including carpets, tiles, hardwood floors, and more. The suggested system will be electrically driven and run on a series of pre-defined cleaning patterns that may be altered to satisfy particular cleaning needs. This study is anticipated to offer a time- and money-saving solution for keeping floor surfaces clean and hygienic in both home and business settings.
COMMUTING PREFERENCES IN EASTERN EUROPE: CASE STUDY IN TOWN OF ŠIAULIAI
Authors: Jaržemskis Andrius , Bazaras Darius , Jaržemskienė Ilona
Published: June 2023

This article presents a study conducted in the Town of Šiauliai with a population of 100 thousand, located in the Republic of Lithuania, where the market economy has been operating for 32 years and which is a member of the European Union for 20 years. In the town, the share of commuting travels by car is significantly higher than by public transport. Since the availability of the public transport network is identified in scientific publications as one of the many criteria for choosing public transport, it was decided to conduct a study and check to what extent the availability of the public transport network determines the choice to travel by bus or car. The research hypothesizes that residents who live in neighbourhoods with worse access to bus routes and stops choose more cars than those who live in neighbourhoods with better access to public transport. The results of the study showed that residents choose to travel by bus or car regardless of the availability of the route network. It was found that the origin–destination pairs and relative proportions of those commuting to work match both those traveling by car and by bus. The results of this study may not necessarily be the same in Western European cities or towns. The main limitation of this article is that the trip matrices were compiled from population survey data, as statistical information on origin–destination pairs in Town of Šiauliai is not regularly collected.
A Large-scale Magneto-ionic Fluctuation in the Local Environment of Periodic Fast Radio Burst Source FRB 20180916B
Authors: Mckinven R. , Gaensler B. M. , Michilli D. , Masui K. , Kaspi V. M. , Bhardwaj M. , Cassanelli T. , Chawla P. , Dong F. (Adam) , Fonseca E. , Leung C. , Li D. Z. , Ng C. , Patel C. , Petroff E. , Pearlman A. B. , Pleunis Z. , Rafiei-Ravandi M. , Rahman M. , Sand K. R. , Shin K. , Scholz P. , Stairs I. H. , Smith K. , Su J. , Tendulkar S.
Published: June 2023

Fast radio burst (FRB) source FRB 20180916B exhibits a 16.33-day periodicity in its burst activity. It is as of yet unclear what proposed mechanism produces the activity, but polarization information is a key diagnostic. Here we report on the polarization properties of 44 bursts from FRB 20180916B detected between 2018 December and 2021 December by CHIME/FRB, the FRB project on the Canadian Hydrogen Intensity Mapping Experiment. In contrast to previous observations, we find significant variations in the Faraday rotation measure (RM) of FRB 20180916B. Over the 9-month period 2021 April and 2021 December we observe an apparent secular increase in RM of ∼50 rad m−2 (a fractional change of over 40%) that is accompanied by a possible drift of the emitting band to lower frequencies. This interval displays very little variation in the dispersion measure (ΔDM ≲ 0.8 pc cm−3), which indicates that the observed RM evolution is likely produced from coherent changes in the Faraday-active medium’s magnetic field. Burst-to-burst RM variations appear unrelated to the activity cycle phase. The degree of linear polarization of our burst sample (≳80%) is consistent with the negligible depolarization expected for this source in the 400–800 MHz bandpass of CHIME. FRB 20180916B joins other repeating FRBs in displaying substantial RM evolution. This is consistent with the notion that repeater progenitors may be associated with young stellar populations by their preferential occupation of dynamic magnetized environments commonly found in supernova remnants, in pulsar wind nebulae, or near high-mass stellar companions.
Self-consistent Models of Y Dwarf Atmospheres with Water Clouds and Disequilibrium Chemistry
Authors: Lacy Brianna , Burrows Adam
Published: June 2023

Y dwarfs are the coolest spectral class of brown dwarf. They have effective temperatures less than 500 K, with the coolest detection as low as ∼250 K. They make up the low-mass tail of the star formation process, and are a valuable analog to the atmospheres of giant gaseous exoplanets in a temperature range that is difficult to observe. Understanding Y dwarf atmospheric compositions and processes will thus deepen our understanding of planet and star formation and provide a stepping stone toward characterizing cool exoplanets. Their spectra are shaped predominantly by gaseous water, methane, and ammonia. At the warmer end of the Y-dwarf temperature range, spectral signatures of disequilibrium carbon monoxide have been observed. Cooler Y dwarfs could host water clouds in their atmospheres. JWST spectral observations are anticipated to provide an unprecedented level of detail for these objects, and yet published self-consistent model grids do not accurately replicate even the existing Hubble Space Telescope and ground-based observations. In this work, we present a new suite of 1D radiative-convective equilibrium models to aid in the characterization of Y-dwarf atmospheres and spectra. We compute clear, cloudy, equilibrium chemistry and disequilibrium chemistry models, providing a comprehensive suite of models in support of the impending JWST era of panchromatic Y-dwarf characterization. Comparing these models against current observations, we find that disequilibrium CH4–CO and NH3–N2 chemistry and the presence of water clouds can bring models and observations into better, though still not complete, agreement.
Synchronizing the EMRIs and IMRIs in AGN Accretion Disks
Authors: Peng Peng , Chen Xian
Published: June 2023

Extreme-mass-ratio inspirals (EMRIs) and intermediate-mass-ratio inspirals (IMRIs) are important gravitational-wave (GW) sources for the Laser Interferometer Space Antenna (LISA). So far, their formation and evolution have been considered to be independent. However, recent theories suggest that stellar-mass black holes (sBHs) and intermediate-mass black hole (IMBHs) can coexist in the accretion disk of an active galactic nucleus (AGN), which indicates that EMRIs and IMRIs may form in the same place. Motivated by the fact that a gas giant migrating in a protoplanetary disk could trap planetesimals close to its orbit, in this paper we study a similar interaction between a gap-opening IMBH in an AGN disk and the sBHs surrounding it. We analyze the torques imposed on the sBHs by the disk and also by the IMBH, and show that the sBHs can be trapped by the IMBH if they are inside the orbit of the IMBH. We then implement the torques in our numerical simulations to study the migration of an outer IMBH and an inner sBH, which are both embedded in an AGN disk. We find that their migration is synchronized until they reach a distance of about 10 Schwarzschild radii from the central supermassive black hole, where the pair break up due to strong GW radiation. This result indicates that LISA may detect an EMRI and an IMRI within several years from the same AGN. This GW source will bring rich information about the formation and evolution of sBHs and IMBHs in AGNs.