bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of Artificial Intelligence on Social Media Marketing - A Conceptual Review
Authors: Triteos Christos , Halkiopoulos Constantinos , Antonopoulou Hera
Published: January 2025

Artificial intelligence helps businesses in correctly predicting and analyzing the needs of the audience, which is then addressed regarding social media marketing. AI promotes machine learning algorithms that help decipher large-scale user data and strives toward developing more personalized content, personalized responses, campaign optimization, and sentiment monitoring, hence drastically increasing marketing efficiency. This paper reviews some of the studies that show just how deep an impact AI has made in social media marketing. It is inclined to show the AI works in improving analytic understanding, increasing user engagement, and optimization of ad strategy. The results indicate that AI improves relationships with customers and helps businesses achieve their marketing objectives more precisely and efficiently, thus providing progress with ongoing competitive advantages in digital marketing.
The acceptance and adoption of artificial intelligence tools by marketing executives in Greek businesses
Authors: Papastefanou Christos Theodoros , Papaioannou Eugenia
Published: January 2025

Artificial Intelligence (AI) is revolutionizing marketing by enhancing traditional methods and driving innovation. This research investigates the adoption of AI by marketing executives in Greece, regardless of business size, using the Technology Acceptance Model (TAM) and the RACE framework. AI plays a crucial role in personalized marketing, data analysis, and customer service, significantly improving consumer engagement and business profitability. Through a LinkedIn-based survey of 157 marketing executives, with 71 respondents, the study reveals a strong positive attitude towards AI, emphasizing its ease of use and usefulness. Widely used tools such as ChatGPT and Canva AI are shown to enhance marketing strategy efficiency.
Statistical analysis indicates that perceived ease of use positively influences perceived usefulness and attitudes towards AI, which in turn affect the intention to use AI tools. Despite the numerous articles on how AI supports marketing activities, there is a notable lack of empirical studies demonstrating the adoption and utilization of AI tools by marketing executives. This research highlights AI's transformative impact on marketing and proposes future research directions, including the long-term effects of AI on marketing strategies and its acceptance across various sectors and regions.
Transforming consumption: the role of digital experiences, consumer spirituality, environmental beliefs, and digital efficacy in driving sustainable choices
Authors: Tsimonis Georgios
Published: January 2025

This study examines the interaction of consumer spirituality, digital consumer experiences, and environmental beliefs in driving sustainable consumption behaviour. Drawing on the Value-Belief-Norm theory (VBN), the study seeks to reveal how these factors shape attitudes and ultimately influence eco-conscious choices. Results indicate that consumers with higher levels of spirituality are more likely to believe their actions have environmental and societal consequences. Additionally, positive digital experiences enhance consumers’ belief in the ability of online platforms to support sustainable choices. Study results show that, both positive attitudes towards sustainable consumption and beliefs in digital efficacy could lead to actual sustainable behaviours. Unexpectedly, beliefs about environmental and societal consequences did not significantly impact attitudes towards sustainable consumption. This highlights a potential gap between consumer awareness and their willingness to act, pointing to the importance of finding ways to transform awareness into behaviour change. This study aims to offer actionable insights for businesses and policymakers seeking to promote sustainability, whilst emphasising the importance of designing positive digital experiences and understanding consumer motivations to effectively encourage eco-conscious consumption.
Total quality management in higher education: A two-level assessment
Authors: Filia Vasiliki , Mitropoulos Panagiotis , Mitropoulos Ioannis
Published: January 2025

An assessment of the EFQM Excellence Model was conducted at universities in Greece to evaluate staff perceptions of their university as a whole and its individual departments. The study aimed to identify strengths and areas for improvement and to promote a quality culture within universities. The assessment focused on the functioning of institutions according to the criteria set by the European Foundation for Quality Management (EFQM) Excellence Model, which emphasizes self-assessment, continuous improvement, more effective and efficient operation of all services, and stakeholder satisfaction. Data were collected through quantitative research using questionnaires and analyzed to understand staff perceptions of university operations based on the principles of Total Quality Management and the criteria of the EFQM Model. The findings revealed that university staff expressed greater satisfaction with their departments compared to the university as a whole, particularly in the areas of People, Partnerships and Resources, and Processes-Products-Services. The education level of staff significantly influenced their satisfaction with university operations. Additionally, perceptions of Processes-Products-Services and Social Outcomes were related to demographic characteristics such as job position and the specific university where the staff were employed.
The role of organization-based social support and internal two-way communication in fostering organizational identification in nonprofits: Insights from AHEPA
Authors: Tsiotas Kyriakos , Kotzaivazoglou Iordanis
Published: January 2025

In the current volatile economic and geopolitical environment, the role of Nonprofit Organizations (NPOs) has become increasingly critical as a stabilizing force, creating value for local communities. Organizational Identification (OI) has gained significant attention in the literature as a crucial factor contributing to organizational reach, sustainability, and long-term endurance. Despite its pivotal importance, empirical evidence from NPOs remains scarce. In this study we set to explore the influence of a) perceived organization-based social support (POBSS) and b) two-way communication (TWC) on nurturing OI. A structured questionnaire was administered to 389 AHEPA members residing on the eastern coast of the USA. The findings indicate that both variables significantly enhance OI, yet TWC demonstrates a greater impact compared to POBSS in fostering OI. Furthermore, the theoretical and practical implications of the results, as well as directions for future research, are presented.
Assessing and benchmarking digital presence in destination management of local governmental organizations in Crete and in South Aegean in Greece.
Authors: Fragiadaki Maria , Kourgiantakis Markos , Trihas Nikolaos , Apostolakis Alexandros
Published: January 2025

Destination Management Organizations’ websites are very important tools since they allow direct communication with the traveler worldwide and provide information at every step of the “customer journey”. Complementary to websites, presence in Social Media Platforms, enhances interactive communication with tourists, enables usage of user-generated content and helps better understanding what are the travelers’ perception about the destination.
We use a model to evaluate the quality and digital presence of two Greek regions, namely Crete and South Aegean. The model was properly adjusted for a single evaluator to grade local governmental destination websites. In addition, a reputable online tool was used to evaluate their pages or profiles on Social Media Platforms to formulate a complete picture of their digital presence in destination management.
In both Crete and South Aegean regions, the majority of websites dedicated to destination promotion received nearly half of the excellent grade; the empirical evidence indicated that YouTube was the best utilized platform (over 65% of channels received a B- to C- rating). Almost 35% of FB pages got B-, the highest grade for Instagram profiles was C+ (close to 55% of the profiles), and for Twitter profiles, it was C (20% of them).
Work Stress and Burnout for Greek Army Staff: The Job Satisfaction and Quality of life Measurements
Authors: Tsialis Apostolos , Assimakopoulos Costas
Published: January 2025

The military environment has unique stressors. This study examines the relationship among job stress, quality of life, job satisfaction, job burnout. Additionally, it attempts to identify the main occupational stressors and to detect possible correlations with gender, age group and origin (Officers and NCOs).
The sample size of the study was 84 personnel who work or have worked in the armed forces. The empirical material was collected online using a questionnaire comprising a scale of 123 questions. In addition to the demographic data, the questions were structured in such a way that they led us to identify occupational stressors and draw conclusions about the level of perceived job stress.
Professional military personnel showed high satisfaction with their quality of life. Respondents with higher levels of stress reported lower perceptions of their quality of life. The degree of work stress experienced by uniformed personnel is a function of specific work factors and demographic characteristics. The data presented suggest that work stress may pose a significant structural threat to the organization itself, because it affects not only the mental and physical health of its personnel, but also negatively affects the very ability to fulfil the mission of the troops.
From Interviews to Interpretation: Utilizing Delphi Method to Assess Content Validity of Sports Event Factors and their Impact on Extending the Tourism Season in Greece
Authors: Gkarane Sofia K. , Vassiliadis Chris A. , Fragidis Garyfallos , Kotzaivazoglou Iordanis , Vrana Vasiliki
Published: January 2025

Running tourism is regarded as one of the most rapidly growing sectors within the sport tourism industry worldwide. This is particularly true in Greece, where running events have increased in popularity. The specific objectives of this study were to assess the content validity of the key factors that influence the organizational process of sporting events, particularly running events, from the perspectives of Greek running event organizers within the framework of sustainable sport event tourism. This study uses the Delphi method to explore how these experts interpret feedback on factors influencing sport event organization in low-season period.
 
The Delphi process yielded a comprehensive list of factors influencing the organizational process of sporting events during the low-season period, categorized into enhancements (focused on attracting participants to stay longer through enriched experiences) and success pillars (focused on the foundations of building trust for a well-organized event in low-season period).
 
The findings of the current study provide valuable perspectives into how sports event experts interpret feedback, particularly regarding extending the tourism season through sport events. The identified factors and the experts' perspectives offer a comprehensive framework for understanding the specific feedback needs of sports event experts in this context.
Corporate Social Responsibility (CSR) in the hospitality industry: A review of the literature and directions for future study
Authors: Aden Yerlan , Tzavara Dionisia , Argyropoulou Maria , Katsikas Epameinondas , Koufopoulos Dimitros
Published: January 2025

Corporate Social Responsibility (CSR) aims to promote environmental conservation and societal well-being, exceeding legal requirements. It is a way for companies to balance economic, environmental, and social impacts, meeting stakeholders' expectations. The hospitality industry is under scrutiny for its ecological and social impact, contributing to carbon emissions, and being a major source of global waste. The rise of short-stay rentals also impacts local housing affordability. Moreover, the industry faces scrutiny regarding employee working conditions, including low wages and discrimination. Despite the significance of CSR for the hospitality industry a comprehensive account of its dimensions and impact on organisational outcomes and areas for future research is still missing. This study aims to conduct a comprehensive review of CSR literature in hospitality employing a semi-systematic approach. Findings reveal that the dimensions of CSR in the hospitality industry are diverse and interconnected, encompassing environmental stewardship, social engagement, economic prosperity, ethical conduct. Future research in the field should focus on addressing conceptualisation issues and strengthening the theoretical foundations of the research. In addition, emphasis should be placed on developing an encompassing framework that establishments in the sector can adopt to effectively enhance their sustainability profiles and create a positive impact.
Gender Equality in the Workplace: Women's Perspective
Authors: Ungaro Veronica , Di Pietro Laura , Ilenia Verrelli
Published: January 2025

The present paper investigates gender equality in employment. It aims to understand which factors fuel gender gaps and which drivers could overcome them to build an inclusive and fair working environment. In high-income countries, female employment has been rising steadily for decades. However, average employment levels among women remain lower than those of men and considering parents with young children, the situation is even more emphasized. To achieve the research objective we administered a structured quantitative survey questionnaire to a sample of women from Italy and Canada. From the analysis, it emerged that there are some differences between the Italian and Canadian women's points of view. Specifically, the latter seem more satisfied with their country's support for women's work than Italian women. Moreover, both samples believe that working and having economic independence is fundamental in a woman's life. At the same time, however, they perceive that having a family could affect their career growth. Respondents pointed out that tools such as kindergartens, paternity leave, childcare incentives, and smart working can be valuable tools to support female work. Despite the many advances, greater effort is required to support women's empowerment and overcome gender barriers by promoting more equality in the workplace.
Assessment of potential drug-drug interactions in hospitalized patients with infectious diseases: an experience from a secondary care hospital
Authors: Shareef Javedh , Sridhar Sathvik Belagodu , Ahmad Ismail Abu Nawa , Rao Padma G.M. , Ain Ur Rashid
Published: January 2025

Background Polypharmacy is common among hospitalized patients with infectious infections owing to comorbidities or concurrent illnesses. This raises the likelihood of drug-drug interactions and creates uncertainty for healthcare providers. This study aimed to assess the potential drug-drug interactions (pDDIs) among hospitalized patients with infectious diseases in a secondary care hospital. Methods A prospective observational study was conducted in the internal medicine ward for six months. Data were collected from patient case records, and prescriptions were screened for pDDIs and classified based on the severity from a portable electronic physician information database (PEPID) resource analyzed using SPSS, version 27.0. Results In total, 148 patient case records were analyzed, and 549 pDDIs were identified, with 66.8% having at least one or more DDIs. The mean number of drug interactions was 3.70 ± 4.58 per prescription. The most frequently encountered drug interactions were drug combinations such as bisoprolol with atorvastatin and aspirin with tazobactam/piperacillin. Based on the severity, most pDDIs belong to the ‘moderate’ category (40.07%). Bivariate analysis showed that age, comorbidities, length of hospital stay, and the number of drugs prescribed were risk factors associated with DDIs (p<0.05). In the multiple binary logistic regression analysis, DDIs were significantly associated with comorbidities and the number of prescribed medications (p<0.0001). Conclusions This study observed the prevalence of DDIs in hospitalized patients with infectious diseases of ‘moderate’ severity. Prescription screening using a drug information database assists in identifying and preventing DDIs early, enhancing drug safety and quality of patient-centered care.
Research for the development and evaluation of instruments for measuring responsible tourism behavior of generation Y tourists in Thailand
Authors: Ngamcharoen Pannika , Sakdapat Naksit , Bhanthumnavin Duchduen Emma
Published: January 2025

Aim This quantitative study aimed to develop and evaluate instruments to measure responsible tourism behavior with high academic standards. Methods Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were employed to test the model’s fit with the empirical data. The sample consists of 550 Generation Y tourists selected through multistage quota random sampling. The instruments were created by the researchers to consist of 45 items, each rated on a 6-point scale. Results The analysis results supported all three hypotheses, with the instruments showing an average reliability of .812. The EFA results indicated that 12 items met the criteria, derived from three main components: environmental (four items), social and cultural (four items), and economic (four items). These components explain 62.118% of the variance in responsible tourism behavior. The Confirmatory Factor Analysis results show that the model fits the empirical data well, with indices meeting the standard criteria: χ2 = 52.790, df = 45, p-value = .198, RMSEA = .034, CFI = .979, TLI = .969, SRMA = .054. Conclusioin In conclusion, the researchers suggest using responsible tourism behavior measurement instruments experimentally to create social indices or to further study causal factors and effects.
Institutional determinants of circular economy
Authors: Bentkowska Katarzyna
Published: January 2025

Motivation: In the context of circular transition, a novel and significant area of research is the role of institutional determinants. This study is of paramount importance as it aims to fill the gap in understanding how institutions influence the implementation of circular economy (CE) in companies. By adopting an institutional approach, we can comprehensively consider the role of diverse factors, merging the realms of regulation (formal institutions) and actors' attitudes (informal institutions).
Aim: The study aims to assess the role of institutional factors in the circular transition and provide valuable insights that can significantly guide future strategies and policies for the circular economy. This research has the potential to inspire significant changes and guide us towards a more sustainable development.
Results: The study confirms that vital institutional determinants can be identified, encompassing formal and informal institutions. The analysis underscores the urgent necessity for adjustments in both areas to support the transition. While functioning formal institutions are a crucial transition driver, their form and quality are often poorly assessed. Notably, significant changes are imperative in informal institutions, particularly a shift in consumer attitudes. Moreover, the results indicate that being motivated by regulations influences the company's perception of other CE drivers and barriers. Particularly interesting are the more favourable attitudes of enterprises towards transition. Similarly, companies strongly motivated by concern for the environment tend to perceive some drivers more positively, while barriers become less severe.
Impact of the EU regulations on the payment services
Authors: Korus Krzysztof
Published: January 2025

Abstract

Motivation: Legislation in payment services domain is broad, exhaustive, and detailed. Fostering innovation is one of several primary goals of the legislation. The impact of a series of regulations on the payments market, particularly the Second Payment Services Directive (PSD2), requires a comprehensive assessment of their effects on legislative efficiency and the development of European payment service providers.

Aim: The paper aims to explore the vectors and strength of the impact of EU payments legislation on the market for payment services with a focus on innovation.

Results: The major impact vector of the payment legislation is stimulating the supply of payment services. An important instrument in this domain is standardization and interoperability with legislation on open banking (PSD) and Single Euro Payment Area being flagship use – cases of such instrument. Open banking legislation (standardization) resulted in the development of a new class of services unlocking new value for demand side. SEPA legislation (interoperability) resulted in availability of significantly more efficient and productive flows of funds within the EU. In both use – cases the impact vectors demonstrate strong feedback and positive reinforcement. Instant payments developed on the building blocks of SEPA enable open banking account – to - account payments to compete with payment cards and similar instruments with acquirers being able to narrow down substantially the risks they are exposed to when engaging in traditional merchant payments. Open banking payments in turn stimulate SEPA payments. Altogether the use case of EU SEPA and open banking legislation proves that legislation addressing interoperability and standardization is paramount to steer payment market towards mutually reinforced innovation. Careful consideration and selection of policy mix in this domain results in highly efficient transmission mechanism.
Real Estate Valuation Algorithm Using Nonparametric Regression Methods
Authors: Orzeszko Witold , Fałdziński Marcin , Siemińska Ewa
Published: January 2025

Motivation: Real estate valuation is critical for various market participants and is influenced by numerous factors such as geographic location, property characteristics, and market trends. Traditional valuation methods often struggle to handle the complexity, scale, and dynamic nature of real estate markets. Automated valuation models (AVMs) have emerged as a promising alternative, offering scalability, speed, and adaptability. However, their effectiveness depends heavily on the ability to manage diverse data and model nonlinear relationships in valuation.
Aim: This paper presents a novel algorithm for real estate valuation based on nonparametric regression methods, including local-linear kernel and Nadaraya-Watson estimators. The algorithm is designed to handle missing data, incorporate multiple influencing factors with adjustable weights, and adapt to dynamic market conditions. It aims to provide accurate property valuations by leveraging a systematic and flexible approach to segment data, select nearest neighbors, and update prices based on market trends.
Results: The proposed algorithm demonstrates robustness to data errors, flexibility in handling variables measured on different scales, and the capacity to model nonlinear relationships. It effectively estimates property values using a comprehensive eight-stage process, from data preparation to quality assessment. The proposed algorithm is designed to be scalable and adaptable, making it a promising tool for addressing the challenges of real estate valuation across diverse contexts.
Treatment options of human demodicosis
Authors: Pawełczyk Olga
Published: January 2025

Background: Human demodicosis is a parasitic disease caused by two species of mites, Demodex folliculorum and Demodex brevis. Cutaneous and ocular demodicosis most often occurs in a situation of impaired immune response, where the attacked organism is weakened, has reduced immunity or metabolic disorders. The treatment of demodicosis can last up to several months and requires a lot of patience and regularity from the patient.
Objective: The aim of this paper is to review the therapeutic options used in the treatment of the ocular and cutaneous human demodicosis.
Materials and methods: This review was based on available data collected in the PubMed and Google Scholar databases, using the keywords: ‘Demodex brevis’, ‘Demodex folliculorum’, ‘Demodex mite’, ‘human demodicosis treatment’.
Conclusions: Treatment of demodicosis based on the use of a single medicament has the lowest efficiency and effectiveness. In contrast, a combination therapies, in which oral and local applied  medication are taken together or several types of local medication are combined have the best effect.
Complications after endoscopic spine surgery - risk factors and preventive strategies
Authors: Olszak Joanna , Zalewa Karolina , Bartoszek Lidia , Orłowska Dominika , Kapłan Wojciech , Poleszczuk Mikołaj , Poleszczuk Karol , Milewska Alicja , Czuba Anna
Published: January 2025

Introduction and Purpose
Endoscopic spine surgery (EOS) is a minimally invasive alternative to traditional surgery, with less tissue trauma and shorter hospital stay. Despite these advantages, these procedures are associated with the risk of complications. The aim of this article is to analyze the most common complications, identify risk factors, and discuss preventive strategies that can minimize the risk of their occurrence.
Materials and Methods
A comprehensive literature review was conducted using the PubMed database, focusing on articles published up to the end of 2024. The search included the keywords “endoscopic”, “spine surgery”, “complications”, and “risk factors” in different combinations. Relevant studies were selected based on criteria such as complications after endoscopic spine procedures and risk factors that affect them, as well as methods for their prevention.
Results
The literature review indicates that the most common complications after EOS are dura tears, nerve injury, infection, bleeding, and adhesions. Risk factors include both patient-related aspects and surgical technique. Patient factors include age, comorbidities, and anatomical abnormalities of the spine. Procedural factors include operator inexperience, selection of an inappropriate surgical approach, and technical limitations of endoscopic equipment.
Conclusions
Prevention of complications after EOS requires a comprehensive approach that includes both careful patient qualification and optimization of surgical technique. Regular operator training can significantly improve patient outcomes. Strict control of risk factors and individualization of the surgical approach are also key. These measures can not only reduce the risk of complications but also improve the efficiency and safety of endoscopic spine surgery.
CNN Classification of Malaria Parasites in Digital Microscope Images Using Python on Raspberry Pi
Authors: Muttaqin Muhammad , Untoro Meida C , Febrianto Andre , Faisal Amir , Setiawan Agung W , Prabowo Bagas P , Rahman Yusuf A
Published: January 2025

Malaria disease occurs because the plasmodium parasite infects human red blood cells spread by female Anopheles mosquitoes and then causes health problems such as blood deficiency and even death. The gold standard of malaria diagnosis is to use laboratory microscopy examination of the patient's red blood cell samples to distinguish between microscope images of parasitic and non-parasitic red blood cells. However, diagnosing malaria through microscope observation is time-consuming, subjective, and tiring for health workers. So, a malaria classification system was designed using the Convolutional Neural Network (CNN) method to distinguish parasitic and non-parasitic red blood cell images. The CNN model is trained using training data and also tested using test data. Then, the CNN training model is embedded on a Raspberry Pi equipped with a Graphical User Interface to facilitate observer interaction through the LCD screen on this digital and portable microscope. The CNN classification rate achieved an accuracy value of 97.88% using the database image and 98.76% using the digital microscope acquisition image. The CNN classification system of malaria parasites designed on a Raspberry Pi-based digital and portable microscope is expected to improve the diagnosis of malaria and reduce the infection rate of malaria patients, especially in various remote areas in Indonesia.
Design of Turbine Aerator with Remote Control and Internet of Things (IoT)-Based Water pH Monitoring
Authors: Juliyanto Mohammad Amar , Sulistiyowati Indah , Ahfas Ahmad
Published: January 2025

Water plays a very important role for living things including fish, with good water fish can grow optimally and healthily. The acidic and alkaline content of water and also oxygen greatly affects its growth. Currently, the majority of fish farmers monitor the pH and oxidation process of the pond manually. Therefore, in an aquaculture business, water quality must be monitored by fish farmers. In this research, an internet of things (IoT) based tool will be made that will produce oxygen in the water in tilapia ponds and is equipped with a pH sensor that will read how much pH value is contained in it, then the data can be viewed remotely via a cellphone connected to the internet. The telemetry system of this aerator research uses the NodeMCU ESP8266 microcontroller then the pH sensor reading data can be seen through the cellphone with the Blynk application as well as the aerator control can be easily done from the application. fish farmers can easily monitor the quality of water pH in real-time as well as control the aerator. The results achieved by the aerator can cause the oxidation process (dissolved oxygen) in water from the rotation of the impeller. Testing was carried out on a tilapia pond with a pond diameter of 15m2. The methodology used is quantitative with the results obtained from 10x experiments and comparison of the pH sensor and also the pH meter shows 96% accuracy of the pH sensor 4502C while 4% for the error value. the pH value before the aerator is active is 6 which means acidic. After the aerator is active and the dissolved oxygen process runs the pH value of the water becomes 7-7.5 which means neutral, this value is good for freshwater fish to breed well. from the help of this tool, fish farming farmers can more efficiently monitor water pH and aerator control.
Implementation of Discretisation and Correlation-based Feature Selection to Optimize Support Vector Machine in Diagnosis of Chronic Kidney Disease
Authors: Pertiwi Dwika Ananda Agustina , Setyorini Pipit Riski , Muslim Much Aziz , Sugiharti Endang
Published: January 2025

This study aims to improve the accuracy of the classification algorithm for diagnosing chronic kidney disease. There are several models of data mining. In classification, the Support Vector Machine (SVM) algorithm is widely used by researchers worldwide. The data used is a chronic kidney disease dataset taken from the UCI machine learning repository. This data consists of 25 attributes and 11 numeric data attributes, and 14 negative attributes. To call continuously, discrete data is used. Meanwhile, data is selected using Correlation-based Feature Selection (CFS) to reduce irrelevant and redundant data. The research results by applying discretization and feature selection based on correlation for classification in the SVM algorithm with 10-fold cross-validation show an increase in accuracy of 0.5%. The classification of the vector machine support algorithm in the diagnosis of chronic kidney disease produces an accuracy of 99.25%, and after applying discretization and correlation-based feature selection, produces an accuracy of 99.75%. Implementation of discretion and correlation-based feature selection to optimize support vector machine for diagnosis of chronic kidney disease has increased accuracy by 0.5%. The proposed method is feasible as a method of diagnosing chronic kidney disease.
Automatic Roof Prototype On Aviary With Telegram Based Monitoring
Authors: Hidayatullah Muhammad Irsyad , Sulistiyowati Indah , Saputra Dwi Hadidjaja Rasjid
Published: January 2025

Aviary is a large cage that is designed to resemble the natural habitat of the flora and fauna contained therein. The purpose of making an aviary is as a breeding place for several flora and fauna within the scope of the community. Apart from that, some people build an aviary in their yard as a place to channel their hobbies. The success of aviary development has many supporting factors, one of which is weather conditions. Many aviaries out there do not have a protective roof so that the aviary experiences bad conditions when it rains, considering that Indonesia is a country with a tropical climate where rain can fall at any time. Based on these problems, this research was carried out by designing an automatic roof prototype that was placed on the aviary with a working system to detect the conditions that existed in the aviary and to protect the aviary from exposure to heat and excess rain. The prototype will detect the light intensity value and the value from the rain sensor reading, when it exceeds the specified value limit the tool will work and the roof will be closed. Contribution of this research The application of this prototype directly has a success rate of up to 90% as long as the components used can work optimally. The contribution to this research is the use of the Research and Development method as a research method and the use of telegram bots as a monitoring tool in this study.
Vulnerability Analysis and Prevention on Software as a Service (SaaS) of Archive Websites
Authors: Mushlihudin Mushlihudin , Faisal Danis
Published: January 2025

Web Archive is a SaaS service that has an important role in providing better document storage and management. Good document management has a positive impact on optimizing business operations, increasing collaboration, reducing costs, and protecting sensitive information. Cybercrime, which has an increasingly high intensity, is a serious threat to the security of data stored in web archives. This research aims to improve data security on web archives by conducting ongoing testing. Testing was carried out on a server with a Linux operating system and web archives managed by a file manager system. This study tests the attack using the OWASP application method, and an XSS attack on a web archive with a Linux server and using a file management application. The testing phase includes Information Gathering, Vulnerability Assessment, Exploiting, and Reporting. Based on the results of the research, it was obtained that the first vulnerability test contained 9 vulnerabilities in 9 categories. The second vulnerability test obtained 7 vulnerabilities and the third test found no vulnerabilities. At the end of each test, recommendations for improvements to the web archive are made to the web archive manager and a re-testing process for vulnerabilities is carried out. This process is carried out repeatedly with continuous improvement. Testing the attack and repair of the web archive was carried out repeatedly and managed to get a vulnerability level of Level 0.1-3.9 points with Low status.
Temperature Measurement and Light Intensity Monitoring in Mini Greenhouses for Microgreen Plants Using the Tsukamoto Fuzzy Logic Method
Authors: Suryaningsih Dea , Puriyanto Riky Dwi
Published: January 2025

Microgreens are tender young plants that can be harvested as seeds and are a type of vegetable that can be harvested in about 7-14 days. Microgreen growth is influenced by several factors, including ambient temperature and light intensity. Microgreen plants require temperatures between 24°C – 30°C at all times during growth. These microgreen plants were grown on cocopeat growing media and given in a special room called a mini greenhouse with a size of 60 × 50 cm. The research method used is Tsukamoto's Fuzzy Logic. This research aims to make a tool to detect the temperature in a mini greenhouse. The research method used is Tsukamoto's Fuzzy Logic. Increasing temperature stability to keep the temperature in the mini greenhouse room at the ideal temperature. In this study, the sensors used were DHT 11 and grow light lamps. The results of this study indicate that the temperature and light intensity in this mini greenhouse are very stable and are at a temperature of 24°C-30°C with the accuracy of the sensor in this tool showing an error value of 5.39%.
Design and Development of a IoT-Based Moisture Detection Device for Corn Seeds
Authors: Fitra Guguh Makbul Rahmadani , Sunardi Sunardi
Published: January 2025

Lately the planting of corn has increased and increased in several areas. The increasing popularity of corn is due to its high economic value. Corn that has been harvested cannot be sold immediately because it must meet certain moisture content requirements. Farmers must know the maximum value of the moisture content in the corn kernels resulting from the harvest to meet one of the standards set by the industry. The water content contained in corn kernels can have a big influence on determining its quality or selling value. This study aims to design and implement a device for detecting the moisture content of corn kernels as a tool to help farmers produce dry and good quality corn kernels. This research uses an Internet of Things (IoT) based method by sending the corn moisture content and ambient air temperature values to a mobile phone via the Blynk application. The components used are the NodeMCU ESP2866 microcontroller, YL-69 sensor, DHT-22 sensor, 16x2 I2C LCD, and battery. The results of this study have been able to make a water content detector tool on corn kernels based on IoT that can work well. From several tests carried out at night and in the morning, a low error rate of 2.3% was found on the DHT-22 sensor, while on the YL-69 sensor the tests were carried out on three types of corn samples, namely dry, medium, and dry corn kernels. and wet obtained a low error rate of 3.1%.
Temperature and Humidity Monitoring System in Internet of Things-based Solar Dryer Dome
Authors: Ma’arij Dzakarasma Tazakka , Yudhana Anton
Published: January 2025

The village of Gerbosari has a program for cultivating spice rhizome plants as an effort to improve the economy. These plants are dried using a Solar Dryer Dome (SDD) as a solution to the rain-related issues. The SDD has an automatically controlled exhaust fan based on the measured temperature. Temperature and humidity readings are taken using DHT22 and DHT11 sensors, respectively. Weather conditions (clear or rainy) are detected using a rain sensor. Weather, temperature, and humidity monitoring are done through On The Spot (OTS) and Internet of Things (IoT) methods. OTS utilizes an LCD 16x2, while IoT utilizes the Blynk application and WhatsApp. The temperature errors for DHT22 and DHT11, respectively, are 1.572% and 0.721%, while the humidity errors are 5.223% for DHT22 and 3.214% for DHT11. If the error values approach 5% or more, program adjustments are necessary. Throughout the day, regardless of clear or rainy weather, the temperature inside the SDD is higher, and the humidity is lower than the temperature and humidity outside.
Efficiency Through Automation: A Single System for Multiple Railway Guard Posts
Authors: Zulwidad Mochammad Hisam , Sulistiyowati Indah
Published: January 2025

One of the important factors in train travel is the guarding of railroad crossings. Unfortunately, the number of unguarded railway crossings is still quite large. This condition makes it prone to accidents, especially at crossings that are heavily traveled by vehicles. Most of the railway crossing guards in Indonesia use a manual system, where in this system one guard post can only guard one railway crossing, due to limited human resources from PT KAI, many railway crossing doors are not guarded. To reduce accidents and cover the lack of human resources from PT.KAI, an Efficiency tool through Automation was made: One System for Multiple Railway Crossing Guard Posts. This tool is equipped with several main components, namely PLC, HMI, Infrared Sensor, and servo motor. The crossing gate is fully controlled by PLC and HMI as a monitoring system for all components in real-time. By detecting the arrival of the train, the infrared sensor can work by utilizing the movement of the train passing the sensor, not only detecting the arrival of the train, the infrared sensor also works to give orders so that the Servo Motor as a crossing door can be immediately closed and opened on the miniature, the railroad crossing itself is also equipped with an infrared sensor that functions to detect the presence of vehicles in the middle of the railroad crossing controlled by PLC and HMI as a monitoring system. This tool has been tested and the device functions properly and can help reduce the accident rate at railroad crossings.
A note on the disjunctive decomposition of dense languages
Authors: Zhang Di
Published: January 2025

The relationship between dense languages and disjunctive languages has been widely studied. Guo et al. in [1] proved that for any finite alphabet X, the dense languages over X can be decomposed into a disjoint union of two disjunctive languages, one of which is discrete. In this note, we improve the algorithm for disjunctive decomposition of dense languages in the case of |X| \geq 2, and we present a new algorithm for disjunctive decomposition of dense languages in the case of |X|= 1.
Carbon nanotube paper with different polymer composition for laser ablation propulsion
Authors: Zhao Fang , Zeng Lingmu , Jiang Yuhan , Yang Luwei , Liu Youtong , Guan Linlin , Li Dongyang , Ren Yang , Zhou Xiaowei , Zhang Yuanxian , Liu Zhu
Published: January 2025

Laser ablation propulsion is an important micro-propulsion system for microsatellites. Polymers with carbon added and carbon-based nanomaterial have been demonstrated as propellants with high impulse coupling coefficient (Cm). Among them, the carbon nanotube film exhibits a low ablation threshold fluence of 25 mJ/cm2, which shows its potential for propulsion under low laser fluence. In this study, we investigate carbon nanotube papers (CNTPs) as propellants for laser ablation propulsion. Here four types of CNTPs have been included: S-CNTP (composed of single-walled carbon nanotubes, SWCNTs) and M-CNTP1 (composed of multi-walled carbon nanotubes, MWCNTs) and polymer composited CNTP of M-CNTP2 (30% MWCNTs) and M-CNTP3 (8% MWCNTs). SEM shows that S-CNTP and M-CNTP1 feature a network structure of carbon nanotubes while M-CNTP2 and M-CNTP3 have polymer-filled solid surfaces. Notably, M-CNTP3 exhibited a high Cm of 58.1 µN/W under a laser fluence of 1.09 J/cm2. Time-resolved plasma spectroscopy revealed a reduced C2 Swan band emission for M-CNTP3. Thermogravimetric analysis (TGA-DSC) further showed that the polymer’s decomposition temperature contributes to the enhanced Cm value for M-CNTP3. These findings suggest that the performance of CNTP-based composite materials as propellants is closely related to the type and quantity of carbon nanotubes, providing an alternative propellant for microsatellite propulsion under low laser fluence conditions.
Asymmetric reflection quantitative phase microscopy with a scalable field of view using dynamic speckle illumination
Authors: Wei Cong , Li Zikun , Xu Jingqi , Wang Nianfeng , Zhou Ze , Ma Jun , Huang Jin , Yao Lin , Gu Han
Published: January 2025

Dynamic speckle illumination-based quantitative phase microscopy (QPM) offers the capability to eliminate coherent noise and achieve depth selection; however, the low coherence of the illumination restricts the flexibility in objective lens selection. An asymmetric reflective quantitative phase microscopy method is proposed in this Letter. The speckle field correlation is maintained through identical exit pupil diameters in the objectives of both interference arms. Moreover, a light source system with a delay line compensates for the optical path difference introduced by the asymmetric objectives, thereby achieving a high-contrast interferogram. Experimental measurements on a resolution target and a transparent sample demonstrate the dynamic phase imaging and depth-selection capabilities of the system across different fields of view.
Controllable dual-pulse laser directly for nonlinear photoacoustic microscopy
Authors: He Hongsen , You Huiyue , Wang Hanjie , Song Qiannan , Yao Zhengrui , Chen Ningbo , Dong Xin , Bai Shengchuang , Dong Jun
Published: January 2025

Nonlinear photoacoustic microscopy (PAM) usually requires dual-pulse excitation. Current approaches to realize dual-pulse laser train are indirect, mainly based on beam combinations. Here, we report a compact (∼5-cm-long cavity) laser source that directly outputs controllable nanosecond (∼34 ns) dual pulses, including the tunability of repetition rate (0–20 kHz), time delay (5–30 µs), and relative intensity ratio (20–500%), perfectly matching the requirements of nonlinear imaging in PAM. The single pulse energy is achieved up to ∼95 µJ. We showcase the nonlinear PA performance with this laser source in typical Grüneisen-relaxation-based applications with imaging contrast enhanced by 8 dB. The promising performance indicates that this dual-pulse laser can readily be applied to nonlinear PAMs, especially for portable applications.
Integrative analysis of ATAC-seq and RNA-seq for cells infected by human T-cell leukemia virus type 1
Authors: Tanaka Azusa , Ishitsuka Yasuhiro , Ohta Hiroki , Takenouchi Norihiro , Nakagawa Masanori , Koh Ki-Ryang , Onishi Chiho , Tanaka Hiromitsu , Fujimoto Akihiro , Yasunaga Jun-ichirou , Matsuoka Masao
Published: January 2025

Human T-cell leukemia virus type 1 (HTLV-1) causes adult T-cell leukemia (ATL) and HTLV-1-associated myelopathy (HAM) after a long latent period in a fraction of infected individuals. These HTLV-1-infected cells typically have phenotypes similar to that of CD4+T cells, but the cell status is not well understood. To extract the inherent information of HTLV-1-infected CD4+ cells, we integratively analyzed the ATAC-seq and RNA-seq data of the infected cells. Compared to CD4+T cells from healthy donors, we found anomalous chromatin accessibility in HTLV-1infected CD4+ cells derived from ATL cases in terms of location and sample-to-sample fluctuations in open chromatin regions. Further, by focusing on systematically selected genes near the open chromatin regions, we quantified the difference between the infected CD4+ cells in ATL cases and healthy CD4+T cells in terms of the correlation between the chromatin structures and the gene expressions. Based on a further analysis of chromatin accessibility, we detected TLL1 (Tolloid Like 1) as one of the key genes that exhibit unique gene expressions in ATL cases. A luciferase assay indicated that TLL1 has an isoform-dependent regulatory effect on TGF-β. Overall, this study provides results about the status of HTLV-1-infected cells, which are qualitatively consistent across the different scales of chromatin accessibility, transcription, and immunophenotype.