bluuebunny/crossref_metadata_2025 huggingface dataset:
Understanding the Health Implications of Spice Adulterations
Authors: Choudhary Bhanu Priya , Lal Rameshwar , Kum Praveen
Published: September 2024

Spice adulteration is a growing concern in India, with recent reports indicating that 15-20% of spices  in the market are adulterated. This study explores the various types of spice adulteration prevalent  in India, including substitution, color, weight, non-edible substance, quality degradation, chemical,  and flavor adulterations. The impact of spice adulteration on human health is also examined, with  a focus on the potential risks associated with consuming adulterated spices. The study draws  insights from Ayurveda, which emphasizes the importance of using pure and authentic spices  for their medicinal properties. The adulteration of spices not only compromises their quality and  flavor but also poses significant health risks, such as exposure to toxic substances, gastrointestinal  issues, and long-term health complications. The globalization of the spice trade and inadequate  enforcement of regulations are identified as factors contributing to the persistence of this issue.  The study highlights the need for stringent quality control measures, regular testing, and consumer  awareness to combat spice adulteration.
The Rhino Shield for The Coconut Palm: An Automated Protection System for Coconut Tree
Authors: Mr. Dony D’Souza  , Akhil G Bhandary  , Vinush  , Chandrakanth  , Rishal Moras
Published: September 2024

This paper will provide the concept and installation of the automated Rhino Beetle Sheild system, which defends coconut plants against attacks by rhinoceros beetles, are presented in this work. The system makes use of chemical sprayers that are managed by an Arduino board, poles, pumps and electrical valves. It is talked about how well the technique works to keep the coconut trees healthy and prevents beetle infestations. The Rhino Beetle Sheilds potential for use in agriculture is demonstrated by experimental results.
Trends and Transformations in Home Loan Processing: A Case Study of HDFC Hyderabad
Authors: Ms. Akhumla Sangtam  , Mr. Nannuri Srikanth Reddy  , Mrs. Kalevaru Sandhya Rani  , Mrs. Nannuri Kalpana Reddy
Published: September 2024

The housing finance sector in India is growing, driven by rising home ownership demand and supportive policies. This study, "Trends and Transformations in Home Loan Processing: A Case Study of HDFC Hyderabad," explores HDFC Bank's home loan offerings, focusing on types like purchase, construction, and renovation loans. It examines recent trends, customer satisfaction, and challenges, using surveys and interviews for data collection. The findings highlight evolving borrower profiles, technological advancements, and government initiatives like PMAY, offering insights for improving customer service and operational efficiency.
The Impact of Fintech Innovation on Traditional Banking: A Case Study of HDFC Bank
Authors: Mr. Nannuri Srikanth Reddy  , Mrs. Kalevaru Sandhya Rani  , Mrs. Nannuri Kalpana Reddy
Published: September 2024

This paper explores the transformative effects of fintech innovation on traditional banking practices, with a specific focus on HDFC Bank. As financial technology continues to evolve, its integration into banking services is reshaping customer experiences and operational efficiencies. This study examines key fintech innovations such as digital wallets, blocks chain technology, and AI-driven financial services, and analyzes their impact on HDFC Bank's operations, customer engagement, and competitive positioning. Through a combination of quantitative data and qualitative insights, the paper aims to provide a comprehensive overview of how fintech advancements are challenging traditional banking models, offering new opportunities for growth, and driving industry-wide changes. The findings highlight the strategic adjustments HDFC Bank has made in response to these innovations and offer recommendations for other financial institutions navigating the evolving fintech landscape
Artificial intelligence for enhancing resilience
Authors: Rane Nitin , Choudhary Saurabh , Rane Jayesh
Published: September 2024

In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial intelligence (AI) in enhancing resilience across multiple domains. We explore how AI technology can be utilized to develop resilient infrastructure, providing advanced predictive maintenance and real-time monitoring capabilities that ensure robustness and longevity. The study examines the role of AI in improving disaster response, offering rapid data analysis and decision-making support to enhance emergency management outcomes. In climate change, AI-driven strategies are assessed for their effectiveness in fostering climate resilience, including predictive modeling of extreme weather events and optimizing resource allocation. The paper also discusses AI applications in healthcare resilience, such as enhancing diagnostics, patient care, and operational efficiency during crises. Business continuity and crisis management are examined, highlighting AI's capability to anticipate disruptions and maintain operational stability. The paper emphasizes the importance of strengthening cybersecurity resilience using AI to detect and mitigate threats proactively. AI's role in enhancing community and social resilience is analysed, particularly in supporting vulnerable populations and fostering social cohesion. Additionally, we explored AI-powered solutions for urban resilience, focusing on smart cities and sustainable development. The study also covers AI's contributions to environmental and ecological resilience, resilient supply chain management, and resilience in the hospitality and tourism industry. Finally, we investigated AI's potential in fostering psychological resilience, providing personalized mental health support and stress management tools. Through these diverse applications, the paper underscores AI's critical role in building a resilient future.
Toward a Global History of the Nuclear Age
Authors: Robert Josephson Paul , Kasperski Tatiana
Published: September 2024

The environmental history of the nuclear enterprise has grown increasingly important, not the least because of the strong conviction that an ongoing, and self-proclaimed “renaissance” in nuclear energy must be a major part of world energy scenarios in the battle against global warming and the need to abandon carbon-based energy production. This article suggests a number of ways to take advantage of the recently available primary sources by using a global approach to make sense of nuclear environmental history.  It calls for looking at environmental impacts across a variety of ecosystems: desert, Arctic, tropical, limnological and oceanic. It insists on considering the entire nuclear enterprise from mining to enrichment to fission. It suggests focusing on interactions between the atom, nature, and the lives of mammals, fish and birds in the nuclear world. In the end, this analysis shows that the atom is not green, and that the argument that nuclear power is a solution to global warming ignores the troubled relationship between the natural environment and peaceful and military technologies.
Migration policies and labor mobility in Africa
Authors: Bonabe Herman
Published: September 2024

Labor migration appears to be one of today's solutions to the socio-economic and cultural imbalance in Africa. Its contribution to the growing interconnection of the world over the last century through the commercialization of raw materials is undoubtedly significant, given the relief it has brought to most economies in Africa and beyond. Unfortunately, a panoramic look at the legal atmosphere that hangs over labor migration in Africa leaves one wondering. The aim of this study, which complements many others already carried out on the subject, is to determine the appropriate legal interpretation of migration policies and labor mobility in Africa. According to the results of the analysis and comparison of regional and sub-regional policy frameworks and the various state practices developed in the field of labor migration, a mixed reading reveals that the genuine political will to encourage labor mobility, affirmed at supra-state level, remains inconsistent at state level.
Immediate effects of ultrasound therapy on pain and plantar pressure in individuals with subacute ankle sprains: a randomized controlled trial
Authors: Suksri Thongchai , Gaogasigam Chitanongk , Boonyong Sujitra
Published: September 2024

Introduction

Despite the fact that ultrasound (US) therapy is not advised for acute ankle sprains, its therapeutic effects may be beneficial for other stages of ankle sprains, such as a subacute ankle sprain. There is, however, a lack of evidence regarding the effects of US on pain relief and functional improvement in subacute ankle sprains. Therefore, this study aimed to determine the immediate effects of US on pain and plantar pressure in individuals with unilateral subacute ankle sprains.

Methods

Fifty-four participants with unilateral subacute ankle sprains (aged 16–55 years) were recruited and randomly allocated into a treatment group (n = 27) and a control group (n = 27). The treatment and control groups received a single intervention session of US and an ineffectual US, respectively. Pain intensity during weight-bearing and static and dynamic plantar pressures were assessed before and after receiving the intervention.

Results

In both groups, pain intensity was statistically reduced (p < 0.05) and clinically relevant. Although the maximum plantar pressure in the hindfoot during static conditions was statistically higher in the control group (p = 0.024), the values were still lower than MDC95.

Conclusions

A single treatment of US could clinically reduce pain, but it had no effect on altering plantar pressure in individuals with unilateral subacute ankle sprains.
Pilates mat versus cervical stabilization exercises on the craniovertebral angle, pain, function, and myoelectrical activity of the cervical muscles in forward head posture: a randomized controlled trial
Authors: Elhafez Haytham M. , Mohammed Karima S. , El-Azeim Alshaymaa S. Abd , Abdallah Ghada A.
Published: September 2024

Introduction

One of the most prevalent postural problems involving the neck is called forward head posture (FHP), which is defined as the anterior head protruding from the sagittal plane and appearing to be positioned in front of the body. The incidence of FHP is 70% in young adults. This study aimed to compare Pilates mat versus cervical stabilization exercises on the craniovertebral angle (CVA), pain, function, and myoelectric activity of the upper trapezius (UT) and sternocleidomastoid (SCM) muscles in patients with FHP. Also, both experimental groups were compared to the control group in terms of CVA, pain, function,
and myoelectric activity of the UT and SCM muscles.

Methods

Sixty participants (18 to 25 years old) with symptomatic FHP were randomly assigned to three groups using an opaque sealed envelope; Pilates mat and postural correction exercises were assigned group A, cervical stabilization and postural correction exercises were assigned group B, and solely postural correction exercises were assigned group C for 12 weeks at a frequency of 3 times/week. The patients were assessed before and after 12 weeks of interventions. The photogrammetric method was used to determine CVA, the visual analog scale (VAS) for pain intensity, the Arabic neck disability index (ANDI ) for neck
function, and surface electromyography (sEMG) for the UT and SCM muscle root mean square during rest and activity.

Results

Multiple pairwise comparisons revealed statistically significant differences between pre and post-treatments for all variables in the Pilates, cervical stabilization, and control groups with a p < 0.05. Between groups, analyses showed that there were statistically significant differences (p < 0.05) at post-treatment between the Pilates and cervical stabilization groups and also between Pilates and the control, and finally between the cervical stabilization and control groups with more favor to the Pilates group.

Conclusions

Pilates mat and cervical stabilization exercises are both effective interventions for FHP, with Pilates mat exercises being superior.
Kaufland erweitert Marktplatz-Netz
Authors: Stockburger Manfred , Becker Sebastian
Published: September 2024

Kaufland rollt den Online-Marktplatz weiter aus. Im Fokus sind vor allem Länder, in denen Amazon der Schwarz-Marke Luft lässt. In Polen trifft Kaufland auf Allegro.
Kellanova stoppt Cheez-It-Launch in Deutschland
Authors: Sachsenröder Delphine
Published: September 2024

Mit der milliardenschweren US-Snackmarke Cheez-It wollte Kellanova in Deutschland die zweite Erfolgsgeschichte nach Pringles schreiben. Daraus wird vorerst nichts.
Freiberger investiert in Pizza
Authors: Sachsenröder Delphine
Published: September 2024

Mit dem Ausbau seiner Werke bereitet sich Tiefkühlpizza-Produzent Freiberger auf neue Exportmärkte vor. Ein Ziel ist Osteuropa. Randsortimente passen nicht mehr in die neue Strategie.
Tante Enso rechnet mit Profit
Authors: Klug Denise
Published: September 2024

Die hybriden Smart Stores von Tante Enso sollen dieses Jahr schwarze Zahlen schreiben. Möglich machen soll das ein ausgefallenes Geschäftsmodell.
Robotik in der Logistik erfordert individuelle Lösungen
Authors: Sobbe Carola
Published: September 2024

Themen wie Automation und KI werden neben Nachhaltigkeit für die Handelslogistik immer relevanter, um wettbewerbsfähig zu bleiben. Neben vielen Chancen gibt es erhebliche Herausforderungen. Das zeigt eine Studie des EHI Retail Institute.
Fluch und Segen
Authors: Hillemeyer Judit
Published: September 2024

Der Klimawandel ist in Bayern angekommen. Hitze, Spätfrost und Hochwasser machen der Lebensmittelbranche zu schaffen. Die Regierung investiert in Klimaschutz und eine resiliente Landwirtschaft.
Bayerische Schmankerl im Fokus
Authors: Hillemeyer Judit
Published: September 2024

Zimmermann ist nicht nur ein klassischer Fleischwarenproduzent. Jetzt kooperiert er mit Andechser bei Bio-Teigwaren. Das Öko-Sortiment wird weiter ausgebaut.
Alles unter Dach und Fach
Authors: Hillemeyer Judit
Published: September 2024

In einem Neubau bündeln zwei Käsespezialisten ihre Prozesse. Die neuen Räume und moderne Techniken eröffnen nachhaltige Verpackungsmethoden.
Landwirte arbeiten sicherer
Authors: Vetter Bernhard
Published: September 2024

Frankfurt a.M. Während Arbeits- und Wegeunfälle im Zuständigkeitsbereich der SVLFG zuletzt dem allgemeinen Trend folgend gesunken sind, gab es aber wieder mehr Todesfälle.
Wie recyceltes Wasser den Anbau von Kulturen verändert
Authors: Schmidt Robin
Published: September 2024

GIFHORN/BERLIN. Ein hydroponisches Anbausystem, in dem Pflanzen in Gefäßen ohne Erde über eine Nährlösung versorgt werden und mit wenig Wasser auskommen – diese Lösung kennt man unter anderem vom Inhouse Farming. Ein Landwirtschaftsbetrieb in Gifhorn will beim Einsatz dieses Wassers einen neuen Weg einschlagen.
Konstruktionselemente: Sicherheit und Produktivität auf dem Radar
Authors:   Markus Locke
Published: September 2024

Nicht trennende Schutzeinrichtungenwerden vor allem zur Bereichsabsicherungeingesetzt. Aus gutem Grund:Produktionsnahe Bereiche bleibenfrei zugängig. Das Bedien- undWartungspersonal kann so sicher undohne Barrieren in Produktionsprozesseeingreifen. Dabei sorgenSchutzeinrichtungen für die Sicherheit.Zu den berührungslos wirkendenSchutzeinrichtungen gehören auchsichere Radarsysteme. Doch wann kommtdieser Sensortyp in Frage und welcheVorteile bietet er? Einer der internationalführenden Anbieter für die sichereAutomation gibt Antworten.
Konstruktionselemente: Keine Chance für Funken
Authors:   Andre Jerke
Published: September 2024

Elektrostatische Entladungen können inProduktionsumgebungen zur Beschädigung odergar Zerstörung von emp ndlichen elektronischenBauteilen oder Geräten führen. Mit ESD-Bedienteilenvon Kipp sind Arbeitsplätze bis zur kleinstenKomponente normgerecht ausgerüstet.
Antriebstechnik: Coole Performance
Authors:   Markus Finselberger
Published: September 2024

Eine möglichst geringe Motorerwärmung ist das A und O beim Betrieb vonHochgeschwindigkeitsmotoren, die unter anderem in Turboverdichternund Schwungmassenspeichern einen wichtigen Beitrag zur Energiewendeleisten. Frequenzumrichter der Produktserie SD4x von Sieb & Meyerreduzieren umrichterbedingte Motorverluste auf ein Minimum.
Status of Malaria in the African Continent - Data Mining Insights from Heterogeneous, but Interrelated Data Sources
Authors: Muchira Ken , Sabbineni Hemalatha , Bollarapu John Moses , Hasan Kamrul
Published: September 2024

Malaria is a life-threatening mosquito-borne infectious disease, mainly caused by the plasmodium parasites. African continent still suffers the most from this disease for many reasons such as poverty, lack of awareness, lack of investments, insufficient infrastructure and precaution measures, weak policy as well as management, and improper diagnosis practices. In this research, we have performed extensive malaria data analysis for several African countries for the period 2000- 2020, and were able to extract some key insights for actionable insights. Our analysis shows that, overall, the continent has reduced the malaria infection rate from 37% to 25% (and associated death rates from 0.15% to 0.05%) in the last twenty years - a big achievement indeed. Unfortunately, some countries couldn’t follow this trend, leading the progress and the development curve to be stalled or constant and sometimes even negative for the last few years. These rates are still higher when we compare them to other parts of the world. We were also able to make some concrete associations with finances, associated investments, and the malaria diagnostics methodologies, adopted and practiced by certain countries. The overall healthcare spending (as a share of the Gross Domestic Product (GDP)) in Africa is way below the global healthcare spending as reported (5.6% vs 8.5%) in 2000 and (5.18% vs 9.8%) in 2019 by the World Health Organization (WHO). More alarming is, due to healthcare cuts, in recent years many countries switched from the more orthodox and effective microscopy diagnostics tests to comparatively cheaper and less effective Rapid Diagnostic Tests (RDTs) leading to severe consequences. We have made some concrete recommendations to combat malaria and to reduce infection and associated mortality rates.
An Insight into the Immune System and its Mathematical Models Relating to Cyber Defense Systems
Authors: Sneps-Sneppe Manfred , Pjanova Dace , Marinaki Maksims
Published: September 2024

The article has two goals: to attract the interest of mathematicians to immunology and to look for ideas for Cyber Defense Systems considering the human immune system as a highly sophisticated defense system against any dangers. An overview of the role of lymphocytes in the immune system (IS), the main IS models, and a few tips for IS mathematical modeling are given. As a future work in immunology, melanoma is considered, and relating to cyber defense the experience of the U.S. Army Cyber Command is mentioned.
Demystifying Technology Adoption through Implementation of a Multilevel Technology Acceptance Management Model
Authors: Busolo Gilbert , Nderu Lawrence , Ogada Kennedy
Published: September 2024

Successful data driven decision making in any organization is anchored on the tenets of knowledge as a strategic resource. Successful adoption of a technological intervention to harness this pivotal resource is key. Institutions leverage on technology for prudent data management to drive knowledge management (KM) initiatives towards quality service delivery. These initiatives provide the overall strategy for managing data resources through making available knowledge organization tools and techniques while enabling regular updates. Some of the benefits derived from positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of an e-commerce operating environment. Timely, focused and successful adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes a multilevel technology acceptance management model. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. To validate the model, a descriptive survey was conducted sampling ICT personnel in the Kenyan Public Sector. A regression analysis framework was adopted to determine the statistical relationship between the dependent (technology acceptance) and independent (human, technological and environmental) variables. Results indicate that technology acceptance in the Kenyan public sector is significantly predicted by human variables (p=.00<05; LL=0.325; UL=0.416); technological variables (p=.00<05; LL=0.259; UL=0.362) and environmental variables (p=.00<05; LL=0.282; UL=0.402). Based on the findings, it is deduced that the proposed multilevel technology acceptance model is validated. The findings also provide sufficient evidence to reject the null hypothesis that the multilevel knowledge management acceptance model is insignificant to successful technological intervention implementation. The study therefore concludes that the multilevel knowledge management acceptance model is of crucial importance to successful technological intervention implementation. The study recommends a multilevel technology deployment process at 3 key levels. The first level ought to address any gaps in the identified human-related factors, while the second level in the deployment process involves providing an enabling environment for adoption of the intervention. The third level entails the actual deployment of the technological intervention with a focus on key features of the technologies involved. This model will be vital in driving early technology acceptance prediction and timely deployment of mitigation measures to deploy technological interventions successfully.
A Virtual Reality Training Simulation to Assist in High-Fidelity Baseball Batting using Oculus Quest 2 and Unity Engine
Authors: C. Xu Brian , Gehr Robert
Published: September 2024

Often, people’s busy schedules and lack of equipment make it difficult for them to get solid baseball training hours [1]. This paper seeks to remedy this issue by investigating the efficacy of a virtual baseball training solution [2]. The solution proposed in this paper involves developing a virtual reality baseball simulation aimed to accurately simulate an environment where baseball hitting can be trained in a context that does not require access to expensive baseball equipment or a huge time commitment. The baseball training solution was successfully made in the Unity game engine and deployed to the virtual reality Meta Quest 2 platform. One primary feature of this solution is the pitching mechanism where pitches are thrown to the player accurately [3]. Another feature of this solution is the ability to translate the player’s movements in real life to the player’s movements in the simulation. The solution was tested in the following experiments: one to test the improvements of player’s skills, and one to test the entertainment levels of different age groups. After collecting data, we found that players did improve from our solution, and that little kids/older adults enjoyed our solution more than teens and those in their 20s. Based on the results of the data, we believe that further research in baseball training solutions that utilize virtual simulations would be worthwhile. Future methodologies may improve upon fidelity and accessibility.
A Novel Framework for Monitoring Parkinson's Disease Progression through Video Analysis and Machine Learning
Authors: Zhou Caroline , Revilla Ivan
Published: September 2024

Parkinson's disease (PD) is a progressive neurological disorder that necessitates continuous and accurate monitoring for effective management [4]. We propose an innovative system that leverages video analysis and machine learning to predict clinical scores for PD patients. Our system includes a mobile application for recording and uploading videos, a cloud-based server for processing the data, and a machine learning model for analyzing the videos [5]. Key technologies employed include Flutter for the mobile app, Firebase for data storage and authentication, and advanced machine learning models such as Bayesian Ridge and Random Forest regression [6]. Challenges such as variability in video quality and limited dataset diversity were addressed through robust preprocessing techniques and plans to expand the dataset to include more diverse participants. Our experiments demonstrated that Bayesian Ridge and Random Forest regression models achieved high prediction accuracy for clinical scores. The results highlight the system's potential for providing a reliable and user-friendly method for monitoring PD. This comprehensive approach promises significant improvements in patient care and disease management, making it a valuable tool for both patients and healthcare providers.
A Smart Medications Recording and Medical Progress Tracking Mobile Platform using Artificial Intelligence and Machine Learning
Authors: Mao Yujia , Tran Khoa
Published: September 2024

This application aims to provide users comprehensive information about different medications through a user-friendly and straightforward interface. The journey begins with a splash screen, followed by a login screen. Users can access detailed drug information, including names, images, and uses upon logging in. New users can sign up via Firebase Authentication. The application features an AI that analyzes user behavior and common medication usage patterns using TensorFlow and Python. The AI detects drug labels, saving the data on a server through Cloud Firebase for easy access. The app has also been tested and highlighted the app's effectiveness in providing accurate drug information and timely notifications across continents, with Asia (77%), Europe (82%), and the Americas (79%) in detecting drug information from pictures, with 99% with timely notifications. For this application, we took data reliability, usability, and AI accuracy into consideration. The application required ample reliable data, a user-friendly interface, and an accurate and precise AI.
Enhancing Amateur Photography: A Deep Learning Mobile Application for Real-Time Aesthetic feedback
Authors: Zhan Tian , Ansah Austin Amakye
Published: September 2024

Capturing aesthetically pleasing photographs can be challenging for amateur photographers due to the complexity of factors such as lighting, composition, and contrast. To address this issue, we propose a mobile application powered by deep learning models and regression analysis. This application analyzes real-time image frames using a pre-trained MobileNet backbone and a custom classification layer [8]. By leveraging the Aesthetics and Attributes database, the app calculates an aesthetic score for each photograph, providing instant feedback to users. Challenges encountered during development, including interfacing with machine learning models and implementing camera functionalities, are addressed. Through experiments, we evaluate different training approaches and compare our methodology with existing research. Our solution aims to empower users to capture high-quality photographs by assisting them in understanding and applying fundamental principles of photography.
Implementing Fuzzy Logic in Natural Language Processing in Pharma Supply Chain
Authors: Choudhury Abhik
Published: September 2024

Fuzzy logic provides a framework for dealing with uncertainty and imprecision, making it particularly useful in natural language processing (NLP) applications. A critical subset of fuzzy logic is fuzzy search, which enhances search capabilities by allowing approximate matches rather than requiring exact ones. This paper explores the integration of fuzzy search techniques within the context of wholesale pharma distribution, a field that demands high accuracy in data retrieval due to its impact on public health and safety.We investigate two distinct case studies where each demonstrates specific fuzzy search techniques tailored to address unique challenges in data retrieval. Through a Python code implementation, we illustrate how these techniques can be practically applied to improve the accuracy and efficiency of searches within large datasets common in wholesale pharma distribution environments. Our findings underscore the potential of fuzzy logic as a transformative tool for enhancing information retrieval systems.By providing practical insights and technical guidance, this research aims to empower stakeholders in the pharmaceutical industry to leverage fuzzy search techniques effectively, ultimately contributing to better data management practices and improved decision-making processes.
Unveiling the Potential of Artificial Intelligence in Next-Gen Software Product Line - A Vision Paper
Authors: Chemingui Houssem
Published: September 2024

In this vision paper, we thoroughly explore the potential of integrating artificial intelligence (AI) solutions into software product lines (SPLs) to overcome challenges like scalability and complexity. By harnessing AI's machine learning and automation capabilities, SPLs can significantly enhance feature selection, variability management, and customization. We uncover foundational concepts, expected benefits, and future research directions for AI-driven SPLs, including scalable machine learning, adaptive variability management, real-time adaptation and personalized customization. Our aim is to stimulate innovation and foster discussion in the software engineering community, driving towards more efficient, adaptable, and user-friendly software systems. The integration of AI into SPLs represents a fundamental shift in software development, promising improvements in productivity, quality, and user satisfaction.
Cyber Risk Assessment for Cyber-physical Systems: A Review of Methodologies and Recommendations for Improved Assessment Effectiveness
Authors: AlHarmali Asila , Ali Saqib , Aman Waqas , Hussain Omar
Published: September 2024

Cyber-Physical Systems (CPS) integrate physical and embedded systems with information and communication technology systems, monitoring and controlling physical processes with minimal human intervention. The connection to information and communication technology exposes CPS to cyber risks. It is crucial to assess these risks to manage them effectively. This paper reviews scholarly contributions to cyber risk assessment for CPS, analyzing how the assessment approaches were evaluated and investigating to what extent they meet the requirements of effective risk assessment. We identify gaps limiting the effectiveness of the assessment and recommend real-time learning from cybersecurity incidents. Our review covers twenty-eight papers published between 2014 and 2023, selected based on a three-step search. Our findings show that the reviewed cyber risk assessment methodologies revealed limited effectiveness due to multiple factors. These findings provide a foundation for further research to explore and address other factors impacting the quality of cyber risk assessment in CPS.
Enhancing Restaurant Management: A User-Friendly App for Improved Scheduling, Communication, and Operational Efficiency
Authors: Liu Fenghao , Liu Jiatong , Mirzaee Soroush
Published: September 2024

Overall, this app was created to solve the challenges of restaurant management [1]. We designed it to be simple and user-friendly for both managers and employees. Key features include secure authentication using Firebase, a weekly scheduling tool for managers, and an emergency contact feature to quickly find available employees [2]. Employees can manage their availability with a week-view calendar. The app's functionalities support check in check out updates for attendance and shift management, improving overall communication and coordination within the restaurant. To test its effectiveness, we surveyed managers and employees who used the app, receiving mostly positive feedback. Future updates will add direct messaging and inventory calculations within the app to incorporate more core features to the app. This app effectively boosts productivity and reduces miscommunication in restaurants, addressing common scheduling challenges and providing an solution. By focusing on enhancing communication and operational efficiency, our app aims to improve the restaurant management experience and efficiency.
A User-Friendly and AI-Based Mobile Application to Assist in Trip Planning using Large Language Models
Authors: Gou Ka Ling , He Tongchen
Published: September 2024

This paper introduces the Utrip app, explaining various functions and the codes involved in this app. We solved problems like music recommendations and AI chatbox, making sure that they ran without getting errors [1]. So, the user can use it to enhance their travel experience. One of the problems that we encounter is that the GPT model we used does not naturally return a JSON format for our app to read [2]. Therefore, we need to engineer our prompt to specifically ask for a response in a designated JSON format, and parse the response string to convert it to JSON. In our experiment, we tested out the rate of error while using different prompt formats for the GPT model [3]. We found out that the prompt that specifies a JSON format in English words is the best. We also compared our app to ones made by others. Our app allows users to create their own travel plans, and the AI chatbox provides suitable suggestions based on real-time scenarios.
The Concept of Agri-Tourism and the Traditional Farming in Manipur
Authors: Rubita Irengbam
Published: September 2024

Any agriculturally based operation or activity that brings visitors to a farm may be termed as Agritourism. It has different definitions in different parts of the world, and sometimes refers specifically to farm stays. It includes a wide variety of activities, including buying products direct from a farm stand, picking fruit, feeding fish and animals, or staying at a farm stay, similar to home stay[i]. Agricultural tourism is an excellent opportunity for many people to experience and learn about a lifestyle that is quite different than their own, often times in beautiful, peaceful, rustic settings. It is a type of tourism that has seen a boost in popularity within recent years. It includes a set of economic and social activities that occur and link travel with the products, services, and experiences of agriculture.
Լեզվի և նորմի փոփոխության կանխադրույթներն ըստ Ա. Այտընյանի «քննական քերականության» / Hypotheses for Language and Norm Change in A. Aitynyan’s “Critical Grammar"
Authors: Aghajanyan Zarik
Published: September 2024

Arsen Aytynyan was a prominent figure in Armenian philological science during the 19th century. As a linguist and philosopher, he greatly influenced Armenian scientific thought of his time. Human thinking and communication shape the "form" and "type" of language. The Armenian language, in turn, reflects the intellectual, material, and moral state of the Armenian nation. In his work, Aytynyan examines the state of the Armenian language during his era, contrasting the dead ancient Armenian language with the modern Armenian language, which he saw as lifeless. He emphasizes key aspects of linguistic research, such as the standardization of language, changes in language norms, language development, and the language policy.
Նկարագրական պատկերները Լեվոն Բաշալյանի գեղարվեստական արձակում / Descriptive Images in Levon Bashalyan's Literary Fiction
Authors: Andreasyan Tamara
Published: September 2024

The realist movement, which began in the 1880s in Western Armenian
literature, is characterized by its aim to depict life in its diversity. It turned to
smaller forms of prose, such as novellas, short stories, chronicles, essays, and
sketches. Among these, the sketch particularly stands out as a genre with
distinctive descriptive and observational content.
Levon Bashalyan is a keen observer. His focus ranges from the
secluded buildings of Constantinople and the lifestyles of wealthy families to
the passionate, dissolute nights of Paris and the silent, endless expanse of the
sea.
In nearly twenty short stories and novellas, along with a few travelogues
and memoirs, Bashalyan skillfully portrays Armenian life at the end of the
19th century. He explores the inner world of individuals, revealing their most
intense feelings and refined emotions. His use of descriptive techniques—
such as landscapes, portrait-like character sketches, and symbolic imagery—
serves as a means of artistic generalization. The writer succeeds in presenting
the era and its people in a comprehensive and insightful manner through
simple yet effective descriptions.
In Bashalyan's system of imagery, repetitions, comparisons, and
contrasts play a crucial role, providing significant context and depth to his
work.
Respuesta de Chenopodium ambrosioides L. al estrés por NaCl
Authors: Rosales Nieblas Ayenia C. , Ruiz Espinoza Francisco H. , Murillo-Amador Bernardo , Preciado Rangel Pablo , Hernández-Montiel Luis G. , Rivas García Tomás
Published: September 2024

En las zonas áridas, el estrés por salinidad es uno de los estreses abióticos más predominantes que causan pérdidas significativas en la producción agrícola. El objetivo del estudio fue evaluar las características morfo-fisiológicas de Chenopodium ambrosioides L. para determinar su tolerancia al estrés por NaCl. El diseño fue completamente al azar con cinco concentraciones de NaCl (0, 50, 100, 150 y 200 mM) con cuatro repeticiones por tratamiento de 15 plantas cada uno. Las variables morfométricas evaluadas fueron peso seco de parte aérea, peso seco de raíz, área foliar, longitud de masa y longitud total de raíz. Las variables fisiológicas evaluadas fueron tasa fotosintética, conductancia estomática, CO2 intercelular, tasa de transpiración, contenido relativo de agua, potencial hídrico y temperatura de la hoja. Los resultados mostraron que C. ambrosioides es una planta que tolera hasta 100 mM de NaCl en relación con el peso seco de parte aérea, longitud de masa y total de raíz. En relación con las variables fisiológicas, mostró capacidad para tolerar hasta 50 mM NaCl pues el contenido relativo de agua, tasa fotosintética, conductancia estomática y CO2 intercelular, disminuyeron a partir de 50 mM NaCl, mientras que, la tasa de transpiración se redujo a partir de los 150 mM NaCl.
Discurso en el acto de traspaso del cargo de rector
Authors: Cornejo Mario
Published: September 2024

No abstract available.
ECA Estudios Centroamericanos, Vol. 79, No. 776, 2024: 125-130.
Pengujian Kualitas Air Sumur Bor di Kelurahan Anaiwoi Dengan Menggunakan Parameter pH Dan TDS
Authors: Buttomi Masgode Muhammad , Puspaningtyas Retno , Rustan Fathur Rahman , Hidayat Arman , Prasetyo Bagus Eko , La Ola Mursalim Ninoy , La Ode Al Tafakur , Mansyur Mansyur , Purnama Haerul , Dirgantara Arya , Rembah Rina , Salu Sahrul Poalahi , Arif Arif , Syahrul Syahrul , Nurfasiha Nurfasiha , Hasriyanti Hasriyanti , Yatjong Isramyano , Dzakir La Ode , Kumalasari Rizki , Suwarto Suwarto
Published: September 2024

Water is a natural resource that is crucial for the survival of all living beings, including humans. The quality of water is an important factor that can have a significant impact on human health. To ensure the well-being of the community, water quality testing was conducted at 2 drilled wells that are being used by residents of Anaiwoi Village. Based on the water quality testing results, it was found that the pH value at point 1 was between 4,6-4,8, while at point 2, it was between 4.6 - 5.9. Unfortunately, the pH values at both points were below the Environmental Health Quality Standards. On the other hand, the Total Dissolved Solid (TDS) parameters at both points were found to be within the Environmental Health Quality Standards. This is because the TDS values obtained were less than 300 mg/L or less than 300 ppm.
Membangkitkan Minat Belajar Siswa Melalui Lomba Cerdas Cermat Sekolah Menengah Atas (SMA) di Kabupaten Seram Bagian Barat
Authors: Kahar Siti Rahmawati , Pieter Marsiline
Published: September 2024

Learning is an important process for the change of human behavior which covers something which is thought and done. The change of behavior occur. This is because it is started from one experience to the others, so it causes many changes.  Quiz competition is one of the efforts which is done to train students’ pendagogic ability. The lack of interest of students to study here raises considerable concerns so that an activity is held topromote the school through a community partnership program (PKM).PKM activity is implemented aims to attract student learning by way of conducting a quiz contest as a form of promotion. The quiz is a learning technique that is used to improve students' activity and learning outcomes through the contest. Participants of this event followed by 37 schools with one team consisting of 3 students. The quiz consists of 3 rounds namely preliminary round, semifinal round and final round. In the preliminary round obtained 5 groups which then matched to the semifinals. Furthermore, in the semifinal round obtained 3 groups who competed in the final round to win the champion candidate. The results for 1st place were achieved by SMA Negeri 16 SBB, the 2nd place was won by SMA PGRI 2 Kairatu, and 3rd place by SMA Negeri 2 Seram Barat. The result of this PKM activity is expected to attract students' interest in studying. The results of PKM activities are expected to attract students.
Pengembangan Instrumen Evaluasi Kurikulum Merdeka Jenjang SD
Authors: Isma Nastiti Maharani  , Niken Dani Safitri
Published: September 2024

Penerapan kurikulum merdeka di wilayah Kota Sukabumi menunjukkan respon positif dengan ditandainya sebanyak 70% SD sudah menerapkan kurmer. Tujuan penulisan artikel ini adalah untuk memaparkan bagaimana pelaksanaan evaluasi kurikulum merdeka yang dilakukan di sekolah dasar wilayah Kota Sukabumi pada tahun 2023. Tahapan dari evaluasi ini adalah melakukan pengembangan instrumen yang digunakan untuk mengevaluasi implementasi kurikulum merdeka jenjang SD di wilayah Kota Sukabumi dan sekitarnya kemudian melakukan penilaian berdasarkan hasil evaluasi. Metode penelitian menggunakan desain penelitian dan pengembangan. Hal yang dikembangkan adalah instrumen untuk mengevaluasi implementasi kurikulum merdeka pada jenjang SD di wilayah Kota Sukabumi dan sekitarnya. Prosedur evaluasi menggunakan model evaluasi CIPP. Instrumen ini terdiri dari komponen yaitu implementasi kurikulum merdeka 2022/2023, karakteristik kurikulum merdeka, rencana dan implementasi kurikulum merdeka, evaluasi program, struktur kurikulum merdeka dan modul ajar, penilaian intrakurikuler, asesmen nasional dan akses buku ajar. Hasil evaluasi kurikulum merdeka di tiga SD Wilayah Kota Sukabumi menunjukkan total persentase keseluruhan pelaksanaan komponen-komponen kurikulum merdeka sebesar 83,6%. Dari hasil evaluasi tersebut, terdapat komponen yang perlu ditingkatkan adalah komponen perencanaan berbasis data dalam pelaksanaan kurikulum merdeka.
Peramalan Akseptor Keluarga Berencana (KB) Baru Pada Kecamatan Air Batu Dengan Teknik Single Moving Average
Authors: Refina Kurnia Ramadanti  , Fauriatun Helmiah  , Sri Rezki Maulina Azmi
Published: September 2024

Perkembangan program Keluarga Berencana saat ini bukan saja untuk menurunkan angka kelahiran, tetapi mewujudkan bonus demografi yang berkualitas. Peningkatan kualitas pelayanan kesehatan perlu dilakukan secara berkesinambungan. Maka peramalan Akseptor KB baru pada Kecamatan Air Batu dengan menerapkan metode Single Moving Average untuk mengantisipasi kenaikan pengguna keluarga berencana. Untuk itulah diperlukan peramalan (forecasting). Sehingga jumlah sarana harus sebanding dengan jumlah akseptor Keluarga Berencana (KB). Namun permasalahan yang terjadi adalah kesulitan dalam menentukan jumlah peserta baru Keluarga Berencana (KB). Adapun dengan peramalan yang digunakan adalah dengan metode single moving average menggunakan sejumlah data actual permintaan yang baru agar mendapatkan nilai ramalan untuk permintaan dimasa mendatang.  Dan data yang akan diramalkan adalah akseptor KB dengan jenis dan hasil MAPE seperti berikut, Spiral, Vasektomi, Tubektomi, Kondom, Implan, Suntuk dan Pil. Metode peramalan ini akan dirancang dan dibangun dengan menggunakan bahasa pemrogramman PHP dan database MySQL. Hasil perhitungan menggunakan metode single moving average didapat hasil peramalan terhadap akseptor KB baru dengan persentase angka tertinggi yaitu 16,77% yaitu dengan alat kontrasepsi KB IMP. Dari hasil perhitungan tersebut kan dituangkan kedalam sebuah sistem perangkat (software), sehingga untuk melakukan peramalan selanjutnya, dapat dilakukan dengan mudah dan lebih efektif.
Perancangan Sistem Informasi Rekam Medis Dalam Menunjang Pelaporan Morbidittas UGD dengan Metode V-Model
Authors: Lhokseumawe Rendy Maulana , Yuyun Yunengsih  , Yuda Syahidin
Published: September 2024

Penelitian ini bertujuan untuk merancang sistem informasi rekam medis guna mendukung pelaporan morbiditas di Unit Gawat Darurat (UGD) RS Lanud Sulaiman menggunakan metode V-Model. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan metode deskriptif melalui wawancara mendalam dan observasi langsung. Sistem informasi ini dirancang untuk meningkatkan efisiensi, efektivitas, dan kualitas layanan dengan menggantikan proses pencatatan manual yang menyebabkan keterlambatan pelaporan. Tahapan pengembangan meliputi analisis kebutuhan, desain sistem, implementasi, dan pengujian. Pada tahap analisis kebutuhan, dilakukan identifikasi terhadap kebutuhan sistem. Desain sistem mencakup pembuatan diagram alir data, diagram hubungan entitas, dan spesifikasi basis data. Implementasi dilakukan menggunakan Microsoft Visual Studio 2010, sedangkan pengujian sistem menggunakan teknik black box testing. Permasalahan yang ditemui menunjukkan bahwa pencatatan laporan secara manual menyebabkan keterlambatan dalam pelaporan.  Keunggulan sistem ini meliputi peningkatan kecepatan dan akurasi pelaporan, pengurangan kesalahan akibat pencatatan manual, dan kemudahan akses data rekam medis. Hasil penelitian menunjukkan bahwa sistem informasi rekam medis ini dapat meningkatkan kecepatan dan akurasi pelaporan morbiditas di UGD, sehingga mendukung peningkatan kualitas pelayanan di RS Lanud Sulaiman.
Analisis Dampak Parameter Debu PM10 di Udara terhadap Masyarakat di Desa Sangi-Sangi
Authors: Sapitri Asna Wulan , Sumarlin Sumarlin , Assiddieq Moch.
Published: September 2024

Air pollution is the entry or inclusion of a substance, energy, life or other component into the environment so as to change the normal air composition due to human activities or natural processes so that it can result in poor air quality and does not function as it should, Particulate Matter 10 (PM10) is one type of air pollution that can come from various sources including human activities and natural sources. Based on the results of the above research that the existence of mining operations has a positive impact and also a negative impact. The positive impact is the increase in income or the economy of the community obtained from mining, while the negative impact is that it causes damage to the environment and the emergence of air pollution due to mining activities and if exposed continuously to dust in the air can cause problems with human breathing. The concentration of PM10 was measured using the Air Quality Monitor tool. This study shows the results of measuring the concentration of PM10 of Sangi-sangi village in the mining area at the location of sample point one the highest concentration value is 30.17 μg/Nm3 which occurs at noon at 13.00-14.00, while the results of measuring the concentration of PM10. at the location of sample two the highest value of concentration results occurs in the afternoon at 13.00-14.00 has a concentration value of 29.17 μg/Nm3.