bluuebunny/crossref_metadata_2025 huggingface dataset:
What does the Building Safety Act mean for small projects?
Authors: Hayes Patrick
Published: August 2024

IStructE Technical Director, Patrick Hayes, sets out the key changes that the Building Safety Act has brought for structural engineers working on small projects in the UK.
Slow Deep Breathing terhadap Perubahan Tekanan Darah pada Lansia Penderita Hipertensi di Dusun Batu Bagus Desa Suntalangu Kecamatan Suela
Authors: Kartika Sulistia , Ikhwani Dina Alfiana
Published: August 2024

Tujuan: Studi kasus ini bertujuan untuk mengetahui pengaruh Slow Deep Breathing terhadap perubahan tekanan darah pada lansia penderita hipertensi melalui pendekatan asuhan keperawatan lansia.
Metode: Jenis penelitian ini merupakan penelitian deskriptif dengan menggunakan pendekatan metode studi kasus. Asuhan keperawatan diberikan selama 3 hari dengan pemberian intervensi terapi Slow Deep Breathing dilakukan 1 kali sehari pada pagi hari sebelum melakukan kegiatan dan setelah sholat dengan durasi 15 menit.
Hasil: Intervensi dalam asuhan keperawatan menunjukkan sebelum dilakukan terapi Slow Deep Breathing tekanan darah Ny. I 180/100 mmHg dan setelah tiga kali intervensi tekanan darah menurun menjadi 130/80 mmHg.
Kesimpulan: Dari studi kasus ini adalah Terapi Slow Deep Breathing dapat menurunkan tekanan darah.
Penerapan Pemberian Jus Belimbing (Avverhoa Carambola) terhadap Penurunan Tekanan Darah pada Lansia Penderita Hipertensi di Dusun Batu Basong II, Desa Suntalangu, Kecamatan Suela
Authors: Mardiana Mardiana , Ikhwani Dina Alfiana
Published: August 2024

Tujuan: Studi kasus ini bertujuan untuk mengetahui “penerapan pemberian jus belimbing (Avverhoa carambola) terhadap penurunan tekanan darah pada lansia penderita hipertensi di desa suntalangu dusun Batu basong II kecamatan Suela”.
Metode: Desain penelitian ini adalah deskriptif dengan menggunakan metode pendekatan studi kasus.
Hasil: Dari hasil implementasi yang sudah dilakukan peneliti pada Ny. S, evaluasi akhir didapatkan data bahwa tekanan darah pada klien dapat menurun setelah diberikan jus belimbing selama 3 hari berturut-turut 1 kali dalam sehari dengan dosis 200 ml.
Kesimpulan: Disimpulkan bahwa penerapan pemberian jus belimbing dapat menurunkan tekanan darah pada lansia.
Uji Aktivitas Antioksidan Seduhan Bunga Telang (Clitoria ternatea L) Dengan Metode DPPH
Authors: Ramdan Siti Rahmah Kurnia
Published: August 2024

ABSTRAK
 
Pendahuluan: Bunga telang (Clitoria ternatea L.) merupakan tanaman yang memiliki pigmen ungu yang mencolok. Warna ungu dari tanaman ini disebabkan karena adanya kandungan antosianin yang dikenal aktivitas antioksidaanya yang sangat baik.  Minuman sari bunga telang dapat dibuat dengan cara penyeduhan pada suhu tertentu. Aktivitas antioksidan dari dekokta bunga telang dapat diketahui dengan berbagai metode diantaranya menggunakan  metode DPPH (2.2 diphenyl-1-picrylhydrazil).
Tujuan: Tujuan dari penelitian ini untuk mengetahui aktivitas antioksidan seduhan bunga telang dengan aquades pada suhu 50oC dengan menggunakan metode DPPH.
Metode: Penelitian ini dilakukan dengan membuat dekokta bunga telang pada suhu 50oC dengan mengukur daya hambatnya terhadap senyawa DPPH sebagai radikal bebas yang ditunjukkan oleh nilai absorbansi dari hasil rekasi dibandingkan dengan larutan kontrol dengan menggunakan Spektrofotometri UV-Vis pada panjang gelombang 400-800 nm.
Hasil: Hasil penelitian ini berupa nilai absorbansi dan persen penghambatan dekokta bunga telang terhadap senyawa DPPH, aktivitas antioksidan ditunjukkan oleh nilai IC50 yaitu konsentrasi yang yang mampu menghambat 50% radikal bebas.  Dari hasil penelitian diperoleh bahwa aktivitas antioksidan dekokta bunga telang pada suhu 50oC memiliki aktivitas sedang.
Kesimpulan: Dari data penelitian dapat disimpulkan bahwa dekokta bunga telang memiliki aktivitas antioksidan sedang yang sangat baik untuk dimanfaatkan sebagai minuman kesehatan.
Marketing social para minimizar daños ambientales, utilizando las 4P
Authors: Baso Soriano Enia Edith , Matthews Rosalyn
Published: August 2024

En los últimos años, se ha observado un creciente interés por integrar las ciencias sociales en iniciativas ambientales a través del marketing, con un enfoque en facilitar y estimular los intercambios de valor. Con los avances que se han realizado desde la perspectiva del marketing empresarial para desarrollar modelos que influyan en los comportamientos humanos perjudiciales para el medio ambiente, el marketing social ambiental emerge como un componente esencial en la búsqueda de estos objetivos. Para definir el uso del marketing social en la mitigación de los daños ambientales utilizando las 4P, se llevó a cabo un estudio documental que examinó cómo se aplican las teorías del marketing social, así como las 4P identificadas por Wood, en investigaciones y campañas reales relacionadas con el medio ambiente. Los resultados revelaron el potencial para desarrollar programas efectivos y sostenibles que fomenten cambios positivos en la sociedad y el medio ambiente. Entre los resultados se destacó la importancia de la promoción continua para sostener los cambios de comportamiento a largo plazo, concluyendo que el reposicionamiento del marketing social representa una oportunidad real para abordar de manera más efectiva los desafíos ambientales, promoviendo comportamientos sostenibles y contribuyendo a la protección del medio ambiente.
Influence of Organizational Culture And Job Satisfaction On Employee Performance With Job Stressas A Mediating Variable In The Employment Bpjsbranch Office In Medan Raya
Authors: Nasution Rizky Ira Silvia , B Mesra
Published: August 2024

This study aims to look at the Effect of Organizational Culture and Job Satisfaction on Employee Performance with Job Stress as a Mediating Variable at BPJS Employment Branch Office Se-Medan Raya. This type of research uses quantitative methods, this research was conducted at the BPJS Ketenagakerjaan Branch Office in Greater Medan, the population used was 80 employees consisting of 20 personnel from Medan Kota, 20 personnel from North Medan, 20 personnel from Tanjung Morawa and 20 personnel from Binjai. The sample used is all the population of 80 employees with saturated samples being the sample technique. The data source used is primary data source and data collection by distributing questionnaires. This research model uses phat analysis and the measuring tool is the smart PLS version 3.3.3 application. The results of this study are as follows: Organizational culture has a positive and significant effect on employee performance with an original sample value of 0.285 and p values of 0.045. Organizational culture has a positive and significant effect on Job Stress with an original sample value of 0.628 and P values of 0.000. Job satisfaction has a positive and significant effect on employee performance with an original sample value of 0.492 and p values of 0.000. Job satisfaction has a positive and significant effect on Job Stress with an original sample value of 0.281 and p values of 0.007. Job Stress has a positive and insignificant effect on employee performance with an original sample value of 0.191 and p values of 0.149. Organizational culture has a positive and insignificant effect on employee performance through work stress indirectly with the original sample result of 0.120 and p values 0.165. Job satisfaction has a positive and insignificant effect on employee performance through job stress with an original sample value of 0.054 and p values of 0.234.
https://jppres.com/jppres/pdf/vol13/jppres24.2022_13.1.58.pdf
Authors: Triadisti Nita , Elya Berna , Hanafi Muhammad , Hashim Najihah Mohd
Published: August 2024

Context: Uncaria sclerophylla (W.Hunter) Roxb., a traditional antidiabetic drug for Kalimantan people, has never been scientifically reported as an antidiabetic agent, especially in dipeptidyl peptidase-4 (DPP-4) inhibition and as an antioxidant. Aims: To identify the leaf's extract most active chromatographic fraction in DPP-4 inhibition and as an antioxidant and determine the compounds contained. Methods: Extraction was carried out using the four-grade maceration method, fractionation used column chromatography techniques, and bioassay used spectrofluorometric principles. Compound profiling was performed using liquid chromatography combined with electrospray ionization and quadrupole time-of-flight mass spectrometry (UPLC-ESI-QToF-MS/MS), and molecular docking was used to investigate interactions between major compounds and DPP-4. Results: This study highlights the potential of methanol leaf extract as an antidiabetic agent with a DPP-4 inhibition mechanism (IC50: 79.67 ± 2.95 µg/mL) and antioxidant mechanism with EC50 value of 9.50 ± 0.319 µg/mL (FRAP method) and 9.94 ± 0.1572 µg/mL (DPPH method). The methanol extract of the leaves has been proven to produce the best chromatographic fraction (FMet5) as a DPP-4 enzyme inhibitor agent, with an IC50 value of 50.71 ± 1.22 µg/mL, and as an antioxidant, with an EC50 value of 8.89 ± 0.1701 µg/mL (FRAP method) and 6.07 ± 0.125 µg/mL (DPPH method). UPLC-ESI-QToF-MS/MS profiling of the compounds in FMet5 revealed the presence of various alkaloid and flavonoid compounds like dehydrosilybin, 19-epi-3-isoajmalicine, procyanidin A2, cinchonain I b, maokonine, and cuscohygrine. Conclusions: Extracts and chromatographic fractions derived from the leaves of U. sclerophylla have potent antioxidant and DPP-4 inhibitory properties, indicating their potential as an antidiabetic agent with DPP-4 inhibition and antioxidant mechanisms.
Exploring the Use of Rice Husk Ash in Concrete: Benefits and Applications
Authors: Jain Ritesh , Khattra Satinder Kar
Published: August 2024

There are both economical and practical benefits to employing industrial and agricultural wastes in addition to more traditional building materials, despite the fact that their use has historically led to issues with pollution and waste management. Since the manufacture of one ton of ordinary Portland cement (OPC) produces nearly one ton of CO2, the demand for cement has surged in the last several decades, posing a serious ecological threat. The cement and building industries are linked to serious air pollution and harm to human health. As a result, governments and environmentalists have mandated the use of more environmentally friendly supplemental cementing materials in order to strictly regulate emission rates. Massive amounts of rice husk are harvested as a by-product material from the rice plant. The wastes have cheap transportation costs because they are typically easily accessible locally and have no commercial use. The woody coating that envelops the kernel or grain is called rice husk ash (RHA), and it is composed of two interlocking portions. Husk is a byproduct of yielding grain since it has to be manually removed by threshing or milling after rice is harvested. Wastes from the rice business, such as rice husks, are usually disposed of in the open, harming the environment and providing no economic advantages. Research on the application of rice husk ash (RHA) in concrete is crucial due to its potential to enhance concrete properties and reduce environmental impact. The potential of RHA for waste management and the construction industry is demonstrated by a thorough examination of the potential benefits and applications of rice husk ash in concrete, supporting research studies as well as practical applications in building and environmental projects.
Daya Tarik Pesan Kelangkaan dan Kompetisi Konsumen: Peran Gaya Hidup dalam Keputusan Pembelian Pakaian Pria di Ego Brother Kupang
Authors: Mona Handly Bernadus Biku , Goetha Selfiana , Fallo Apryanus
Published: August 2024

This study aims to analyze the influence of scarcity messages, consumer competition, and self-concept, mediated by lifestyle, on the purchasing decisions of men's clothing at Ego Brothers, Kupang City. This research uses a quantitative method with SMART PLS analysis tools and involves 114 respondents selected using the accidental sampling technique. Data was collected through a questionnaire in the form of a Google Form with a Likert scale. The results of the study show that: Scarcity messages do not significantly affect lifestyle and purchasing decisions. Consumer competition significantly influences lifestyle and purchasing decisions. Self-concept significantly affects lifestyle but not purchasing decisions. Lifestyle significantly influences purchasing decisions. Lifestyle mediates the influence of consumer competition and self-concept on purchasing decisions but does not mediate the effect of scarcity messages on purchasing decisions. This research provides new insights into the role of lifestyle as a mediator in purchasing decisions and the importance of consumer competition and self-concept in influencing lifestyle and purchasing decisions of men's clothing at Ego Brothers, Kupang City.
SAUL KRIPKE 80 ANOS
Authors: Dutra Crysman
Published: August 2024

Em 2020, mais precisamente em novembro de 2020, o renomado filósofo estadunidense Saul Aaron Kripke completou 80 anos. Dotado de vasta erudição, de um rigor genial e uma profundidade didática excepcional, Kripke é um dos maiores filósofos da atualidade, e isso fica explícito ao longo dessas palestras. Essa breve e superficial exposição visa apenas elucidar sumariamente alguns pontos revolucionários presentes em Naming and Necessity. Esse artigo entrou em estágio embrionário pouco antes das autoridades de saúde anunciarem o início da pandemia de COVID-19, com Kripke entre nós. Infelizmente, ele nos deixou em setembro de 2022, aos 81 anos. Esse artigo, portanto, investiga o pensamento de Saul Kripke, com foco em sua crítica às concepções descritivistas da filosofia da linguagem de Bertrand Russell e Frege. Exploraremos a introdução de Kripke à lógica modal e a análise do conceito de designador rígido. A importância da teoria causal da referência no escopo da concepção de Kripke será elucidada, destacando os resultados de sua metafísica modal para a epistemologia e a metafísica, particularmente em relação aos conceitos de necessidade e a priori, superando as ideias de Hume e Kant.
LEGALIDADE DA INJUSTIÇA NOS CASOS MOSTRADOS PELO DOCUMENTÁRIO “NEGLIGÊNCIA DE QUEM?”
Authors: Sanches Matheus Pereira
Published: August 2024

Enrique Dussel, analisa a dominação na América Latina e propõe uma nova ética baseada na libertação e na práxis "analética". Diante do documentário, “Negligência de quem?” objetiva-se definir Legalidade da Injustiça, apresentar os Guarani- Kaiowá, e os casos documentados e apresentados pelo documentário, bem como analisar a partir do conceito de legalidade da injustiça em Enrique Dussel, os casos de afastamento compulsório de crianças Guarani e Kaiowá de suas mães, na reserva indígena de Dourados, Mato Grosso do Sul.
Das Wissen digitaler Artefakte | Plädoyer für eine materialitätssensible Soziale Arbeit
Authors: Weber Joshua , Rink Konstantin
Published: August 2024

Soziale Arbeit ist auf vielfältige Weise mit digitalen Artefakten verflochten, in denen Wissen anzutreffen ist. Durch sozio-technische Konzeptualisierungen des Mensch-Technik-Verhältnisses und den performativen Charakter digitaler Artefakte zeigt sich dieses Wissen als ko-konstitutiv für das fachliche Handeln. Dieser Aspekt der (digitalen) Materialität ist bislang im Diskurs der Sozialen Arbeit unterbelichtet. Der Beitrag geht daher der Frage nach, was digitale Artefakte „wissen“, wie dieses Wissen einer Reflexion zugänglich gemacht werden kann und worin der Mehrwert für die Soziale Arbeit als Disziplin besteht.
Adsorption Isotherm Modeling in Corrosion Inhibition Studies
Authors: Obaike Adejo Sylvester , Uzah Timothy , Akuhwa James
Published: August 2024

Metals and their alloys are useful structural materials in construction and building industry, due to their peculiar properties. The applications of metals and alloys are, however, bedeviled by corrosion problems. Among the many corrosion preventing methods available, the use of inhibitors stands out, of which their action of inhibitors in corrosion mitigation is through a number of ways, of which adsorption process is one. The knowledge of adsorption process can assist in understanding the mechanism of isotherm. Determination of isotherm best fit has been a subject of intensive debate. Two key parameters commonly employed for such determination are regression coefficient, R2, and free energy, ΔGads value. Many authors have argued the inadequacy of these parameters for the determination. In this chapter, we provide a good insight into how to resolve ambiguity associated with isotherms best fit for adsorption of corrosion inhibitors unto.
Technological Advance and the Future of Business Education
Authors: Hyeung Kang Jae
Published: August 2024

The technological advance gave us many benefits. In the meantime, many of the tasks performed by humans are rapidly replaced by the machines. This change provides several cost benefits to the companies, but we cannot ignore the adverse effects. We need to know which aspects of our jobs will be replaced by automation and which aspects will still require human knowledge and skills. In addition, COVID pandemic has negatively affected the university education in terms of limited in-person classes, operational challenges, and enrollment issues. These challenges urge the business schools to revisit their existing education models and change their curriculums and campus programs to survive. This book chapter aims to discuss how business education should be changed in accordance with the external environmental challenges driven by the technological advance and COVID pandemic. Business schools should provide new educational curriculums and new degrees to meet the fast-changing market demands and technological advances. However, some criticize the value of business education as they observe emerging institutions and educational platforms that teach people to acquire new skills faster and more efficiently than the current educational programs provided by universities. Given these environmental changes, business schools should contemplate what should be changed and what should be kept to maintain the core values of business education.
Physics-informed neural network: principles and applications
Authors: Son Seho , Jeong Jinho , Jeong Dayeon , ho Sun Kyung , Oh Ki-Yong
Published: August 2024

This chapter delves into the fascinating characteristics of physics-informed neural networks (PINNs) by outlining their fundamental principles, including their mathematical foundations and structures. PINNs are designed by incorporating governing physical equations into the loss function as constraints, which helps to ensure precise output predictions even in areas with limited or no data. This chapter presents various strategies to apply PINNs to complex systems, thereby addressing the shortcomings of conventional PINNs. Additionally, multiphysics-informed neural networks (MPINNs) are introduced, with a special emphasis on complex mechatronic systems. The effectiveness of the MPINN framework is illustrated through examples such as an electric motor and a lithium-ion battery, demonstrating accurate and efficient multidimensional predictions for mechatronic systems despite limited data availability. These applications underscore the potential of MPINNs to mitigate data scarcity challenges in various industries.
Simulation-Based Economic Modeling of Hydraulic Fracturing for Enhanced Geothermal System
Authors: Porlles Jerjes , Afari Samuel , Jabbari Hadi
Published: August 2024

Enhanced geothermal systems (EGS) are energy sources that support the effort of the geothermal industry toward net-zero targets if adequate and comprehensive studies on the extraction of heat from geothermal reservoirs are applied. Considering a very low permeability, the EGS must be stimulated to extract energy from the deep and hot geothermal reservoir. Implementing EGS is based on shear stimulation of natural fractures by injecting water to induce slip-on self-propping. As a result, hydraulic fracturing is viewed as unnecessary or ineffective to extract hot water; in addition, the use of packers to enable multiple stages is considered technically infeasible because EGS wells are completed open-hole to maximize connectivity to natural fractures, and reliable open-hole packers are not available at high temperatures. Nonetheless, the oil and gas industry has improved stimulation performance in the past two decades, and EGS has not adopted this technological improvement. This section of the book evaluates the stimulation by hydraulic fracturing technically and economically, considering the generation of new fracture sets rather than stimulating natural fractures. The result of this research shows that an optimal EGS model design, including different forms of horizontal length, well spacing, and types of proppants, will improve economic performance.
Tourism Cohabiting with a Pandemic: Lessons from the COVID-19 (2020–2023)
Authors: A. Grenier Alain
Published: August 2024

The pandemic caused by the striking transmission of COVID-19 in early 2020 decimated the population by attacking the most vulnerable—those with chronic health problems and the elderly: one of tourism’s most important clientele. Before the authorities had the tools to treat and protect the population from this virus, unprecedented sanitary measures were imposed in most countries of the world, restricting freedom of movement—the core of the tourism experience. If no economic sector was spared, tourism was among the hardest hit. As a luxury product, tourism was the first sector to suffer the repercussions of political, economic, environmental and health crises. Economic downturns usually result in layoffs and loss of revenues. The COVID-19 crisis also led to the partial “destructuring” of the tourism industries. In those circumstances, the challenge was to maintain just enough tourism activity to save the enterprises and services involved while preventing the spread of the disease any further. The crisis exposed the fragility of the tourism industry’s capability to adapt and cope with a sanitary crisis. Based on experiences identified in the literature during the pandemic, this study proposes an overview of the adaptation strategies deployed by the tourism industries. The study aims to pinpoint resilient avenues for dealing with future health crises.
Curriculum, Research and Teaching: Modes of Human Development
Authors: Ghani Fouzia , Aizzan Malik Muhammad
Published: August 2024

Human Development talks of equality for all humans and argues in favor of inclusive development. There are various modes through which it can be achieved. The UN while acknowledging the significance of Human development formulated 17 Sustainable Development Goals (SDGs). Out of the 17, the 4th SDG that deals with the quality of education is one goal that is somehow relevant to all the other 16 SDGs. Quality education is a result of the mix of good curriculum, research, and teaching. These traits ensure the good quality of education in fact these three traits can even be used as a metric to ascertain the quality of education. These traits contribute toward ensuring quality education. The example of SNC elucidates that the above three traits remain to be the mainstay any good educational system and structural limitations are the biggest hurdle in ensuring quality education. Also, the curriculum should be progressive in nature so that it remains able to absorb and reflect all the academic developments. The standards of teaching also require conducive work environment and better wages to augment the teaching quality. In conclusion, education is integral to human development but structural and resource limitations in ensuring quality education.
Perspective Chapter: 5G Support the Chinese Healthcare 4.0
Authors: El Maaiden Ezzouhra
Published: August 2024

New upcoming network technologies (5G) will be the backbone of future healthcare, allowing the internet of things, intelligent pharmaceutical production, and customized treatment. In this essay, I will describe how 5G may vary from past generations of network technologies (3G and 4G), address new healthcare applications, and demonstrate how these technologies may allow the development of new healthcare delivery systems in China. Demonstrate how linked medicine can improve imaging, diagnosis, and treatment to improve the quality of care provided to patients. Soon, individuals and companies will create a more complete connection with their digital gadgets, allowing them access to superior healthcare in real-time and at a reasonable cost. 5G will not significantly alter computer equipment, but it will usher in an age in which real-time healthcare is the norm rather than the exception. This will bring patients closer than ever before to the futuristic notion of digital inclusion.
Enhancing Total Productive Maintenance Strategy for Improved Productivity and Performance
Authors: Yifter Meles Tamrat , Mengistu Worku Alebachew , Gzate Ayalew Yewondwosen , Ewnetu Belay Mequanent
Published: August 2024

This study aims to enhance total productive maintenance (TPM) in the pipe industry, specifically within a factory in the Amhara region. The objective is to improve productivity and address challenges faced during TPM implementation. Through identifying obstacles, analyzing factors, and exploring strategies, this research provides insights and recommendations for optimizing maintenance practices. Findings emphasize the need for improved productivity and maintenance strategies, highlighting the importance of a team-based approach. The factory mainly focuses on breakdown and preventive maintenance, lacking a comprehensive TPM approach. The computed overall equipment effectiveness (OEE) stands at 38%, below the standard of 85%. To improve efficiency and reduce downtime, losses limiting equipment effectiveness have been addressed. A total productivity model has been developed, emphasizing the study’s significance in enhancing operational performance. Suggested solutions include implementing TPM pillars such as 6S, Autonomous Maintenance, Planned Maintenance, Focused Improvement, Training & Education, Quality Maintenance, Office TPM, and Safety, Health, and Environment, involving management, workers, and maintenance staff. Proposed solutions include training, empowering operators, improving maintenance strategies, and developing a comprehensive TPM implementation plan. Implementing these recommendations will eliminate breakdowns, increase productivity, and improve factory performance.
Medical Education Technology in Resource-Limited Settings
Authors: Francis Pebolo Pebalo , Jackline Ayikoru , Opwonya Maxwell , Otim Raymond , Bongomin Felix
Published: August 2024

The integration of information and communication technology (ICT) in medical education is crucial to meet the evolving needs of the global population and ensure competency among healthcare trainees. In low- and middle-income countries (LMICs), where resources are limited, leveraging advanced ICTs has the potential to revolutionize medical education by promoting student-centred learning through asynchronous and distributed access. The recent introduction of artificial intelligence (AI) = in medical education has transformed learning into a personalized experiences, virtual simulations, and real-time feedback. Our experience with use of simple technology in Uganda serves as a prime example of how innovative technologies are being utilized to enhance medical education in a LMICs setting. Our experience in the implementation of interactive displays in simulation training and the establishment of low-cost content production studio has significantly improved trainings and learnings. By integrating these technologies closer to the learning environment, students can access information before or after interacting with their teachers, engage in higher cognitive activities, and stimulate problem-solving skills. The success of these initiatives demonstrates their potential for adoption to elevate the quality of medical education in LMICs. Embracing ICT in medical training not only bridges educational gaps but also fosters inclusive and equitable access to resources in LMICs.
Spatial Modeling of Forest Attributes
Authors: Bennett Liam , Da Silva Camilla , Boisvert Jeff
Published: August 2024

Geostatistics is often applied to mining, petroleum, and environmental problems, but its workflows, algorithms, and principles can be of use in a wide array of other spatial modeling problems. Fields such as forestry and wildland fire research include many spatial problems, where the variables of interest are impractical or impossible to exhaustively measure but are sampled by point measurements and remotely sensed data. The fields of forestry and wildland fire are related. Many forest attributes are used to predict fire behavior to aid in community preparedness or response. The use of geostatistical modeling from traditional point measurements of forest test plots and domain-exhaustive remotely sensed data is explored. Finally, an outline of the modeling process for wildland fire applications is included with parallels to typical geostatistical modeling processes.
Attack Modeling and Security Analysis Using Machine Learning Algorithms Enabled with Augmented Reality and Virtual Reality
Authors: Mushtaq Momina ,   Shri Mata Vaishno Devi University/Electronics and Communication Engineering, Katra, 182320, India, Jha Rakesh Kumar , Sabraj Manish C. , Jain Shubha
Published: August 2024

Augmented Reality (AR) and Virtual Reality (VR) are innovative technologies that are experiencing a widespread recognition. These technologies possess the capability to transform and redefine our interactions with the surrounding environment. However, as these technologies spread, they also introduce new security challenges. In this paper, we discuss the security challenges posed by Augmented reality and Virtual Reality, and propose a Machine Learning-based approach to address these challenges. We also discuss how Machine Learning can be used to detect and prevent attacks in Augmented reality and Virtual Reality. By leveraging the power of Machine Learning algorithms, we aim to bolster the security defences of Augmented reality and Virtual Reality systems. To accomplish this, we have conducted a comprehensive evaluation of various Machine Learning algorithms, meticulously analysing their performance and efficacy in enhancing security. Our results show that Machine Learning can be an effective way to improve the security of Augmented reality and virtual reality systems.
An Enhanced Process Scheduler Using Multi-Access Edge Computing in An IoT Network
Authors: S. Padmini M. ,   Department of Computer Science and Engineering, The National Institute of Engineering, Mysuru, India, Kuzhalvaimozhi S. , K. Bhuvan , R. Ramitha , M. Tanisha Machaiah
Published: August 2024

Multi-access edge computing has the ability to provide high bandwidth, and low latency, ensuring high efficiency in performing network operations and thus, it seems to be promising in the technical field. MEC allows processing and analysis of data at the network edges but it has finite number of resources which can be used. To overcome this restriction, a scheduling algorithm can be used by an orchestrator to deliver high quality services by choosing when and where each process should be executed. The scheduling algorithm must meet the expected outcome by utilizing lesser number of resources. This paper provides a scheduling algorithm containing two cooperative levels with an orchestrator layer acting at the center. The first level schedules local processes on the MEC servers and the next layer represents the orchestrator and allocates processes to nearby stations or cloud. Depending on latency and throughput, the processes are executed according to their priority. A resource optimization algorithm has also been proposed for extra performance. This offers a cost-efficient solution which provides good service availability. The proposed algorithm has a balanced wait time (Avg) and blocking percentage (Avg) of 2.37ms and 0.4 respectively. The blocking percentage is 1.65 times better than Shortest Job First Scheduling (SJFS) and 1.3 times better than Earliest Deadline First Scheduling (EDFS). The optimization algorithm can work on many kinds of network traffic models such as uniformly distributed and base stations with unbalanced loads.
Targeted Attacks Detection and Security Intruders Identification in the Cyber Space
Authors: Avkurova Zhadyra ,   Department of AI Technology, NAO Karaganda Industrial University, Temirtau, 101400, Republic Str 30, Kazakhstan, Gnatyuk Sergiy , Abduraimova Bayan , Makulov Kaiyrbek
Published: August 2024

The number of new cybersecurity threats and opportunities is increasing over time, as well as the amount of information that is generated, processed, stored and transmitted using ICTs. Particularly sensitive are the objects of critical infrastructure of the state, which include the mining industry, transport, telecommunications, the banking system, etc. From these positions, the development of systems for detecting attacks and identifying intruders (including the critical infrastructure of the state) is an important and relevant scientific task, which determined the tasks of this article. The paper identifies the main factors influencing the choice of the most effective method for calculating the importance coefficients to increase the objectivity and simplicity of expert assessment of security events in cyberspace. Also, a methodology for conducting an experimental study was developed, in which the goals and objectives of the experiment, input and output parameters, the hypothesis and research criteria, the sufficiency of experimental objects and the sequence of necessary actions were determined. The conducted experimental study confirmed the adequacy of the models proposed in the work, as well as the ability of the method and system created on their basis to detect targeted attacks and identify intruders in cyberspace at an early stage, which is not included in the functionality of modern intrusion detection and prevention systems.
Možnosti rekonstrukce stravy obyvatel Plzně v období pozdního středověku a novověku na základě analýzy stabilních izotopů uhlíku a dusíku
Authors: Orna Jiří , Šneberger Jiří , Kočí Dudková Veronika , Drtikolová Kaupová Sylva
Published: August 2024

Zvyšující se potenciál přírodovědných analýz rozšiřuje možnosti poznání složení stravy, které bylo dříve založeno především na vysoké výpovědní hodnotě ekofaktů. Proto byly k izotopovým analýzám vybrány soubory získané archeologickým výzkumem dvou plzeňských pohřebišť, a to pohřebiště u kostela sv. Bartoloměje na centrálním plzeňském náměstí a pohřebiště z lokality U Zvonu na východním historickém předměstí, kde stál měšťanský špitál se sakrální stavbou zasvěcenou sv. Máří Magdaleně. Výsledky provedených izotopových analýz byly porovnány s písemnými a archeologickými prameny. Řešeny byly také rozdíly ve stravě nejen mezi lokalitami, ale také s ohledem na historický vývoj města Plzně a také s ohledem na pohlaví a věk zkoumaných jedinců. Využita byla také metoda radiouhlíkového datování. Její provedení mělo umožnit získání dat k poznání chronologického vývoje zkoumaných lokalit.
Hroby s mincemi z archeologického výzkumu u kostela sv. Mikuláše ve Sloupnici
Authors: Vích David , Vondrová Hana
Published: August 2024

Kostel sv. Mikuláše ve Sloupnici představuje ve své dochované podobě pozdně renesanční stavbu s mladšími přístavbami. Gotickou fázi, doloženou písemnými prameny, zatím stavebně historický průzkum neprokázal. Při záchranném archeologickém výzkumu vyvolaném statickými poruchami zdí byly prozkoumány pohřby, z nichž mnohé měly v oblasti rukou minci. Zvyk vkládání mincí do hrobů zde máme prokázán od 14. do 18. století.
Žena a Marie ve vybraných dílech Jaroslava Durycha
Authors: Březinová Klára
Published: August 2024

The paper deals with the concept of woman and Mary in selected prose works by Jaroslav Durych. It mainly includes works from the author's so-called girl cycle, but it does not focus solely on them. The thematic analysis reveals the interconnectedness of the motifs of woman and the Virgin Mary, the most important woman in the Christian religion. Durych's conception of Marian themes is not limited to internal or external characteristics. This study therefore seeks to encompass the most significant motifs associated with the figure of the Virgin Mary as understood in traditional Marian veneration (mother, virgin, co-redemptress, symbolism of flowers, colours and light).
Současná uměleckonaučná tvorba pro děti a mládež o umění
Authors: Kubeczková Olga
Published: August 2024

The current book production aimed at children and youth provides an expansive territory for non-fiction titles. Besides the extent of art methods, there is an extraordinarily immense topic spectrum approached from an original perspective presented by the titles. The study pays attention to the art topic, which is mediated by non-fiction books in a different intensity. The study focuses on various perspectives which make the art accessible for the youth, and on the creative approach based on the cooperation of words, images, graphics, and book type. Non-fiction books of art can be a good example of today's book media, which invites readers of different generations to share and encourages an inexperienced reader to enter the dialogue with the experienced one. The books encourage the interest in the creative process and inspiring activities of others by fostering a learning path and showing that the art is open to a reader for discovery and experience, even without his or her previous education.
Nacismus a okultismus : příběh, fakta a Akce Hess
Authors: Ševčík Jan
Published: August 2024

The aim of this article is to introduce the Czech reader to the issue of the relationship between National Socialism and occultism. In Western Europe, these relationships have been explored since the 1970s, when historians James Webb and Nicholas Goodric Clarke began to explore them. In the Czech environment, however, serious research on this topic is still relatively unknown and a minimum of scientists are devoted to it. Conversely, Popular culture and lovers of mysteries produce countless fantastic stories about Nazi wizards, secret societies controlling the NSDAP, or Nazi quests for the Holy Grail. This ensures a tabloid impression. But if we overcome this impression, we will find that the issue of the relationship between Nazism and occultism is a story about the rapid intellectual, religious and especially political development of the turn of the 19th and 20th centuries, when at other times marginal occult ideas and fantasies could influence the development of entire states. This text is therefore a basic summary of the information known so far about the relationship between National Socialism and occultism. It is processed in the form of a sampling method into the conclusions of research carried out so far and the resulting literature. In it, we observe the intermingling of German nationalism and occultism at the end of the 19th century, which leads to the emergence of a chauvinist and racist occult teaching, the so-called Ariosophy. Ariosophy spread through Austria-Hungary and the German Empire, becoming the political program of various occult and political organizations. In Bavaria, the main representative of Ariosophy is the Thule Society, and the Thule agitation among the workers gave rise to the DAP in 1919, and from 1920 to the NSDAP. The end of the text is devoted to the NSDAP's ambivalent relationship to the occult. Since 1941, the party faction opposing occultism was victorious and the great persecution of occultists begins. The text introduces the reader to Reinhard Heydrich’s order of June 4, 1941, which begins the persecution.
Response Surface Methodology Approach for Modeling and Performance Optimization of a PEM Fuel Cell
Authors: Chavan Sudarshan L
Published: August 2024

A Polymer Electrolyte Membrane (PEM) fuel cell is a popular green source of electrical energy and is often used in applications like electric vehicles due to its environmentally friendly operation. This type of fuel cell has a low operating temperature, light weight, and negligible emission of greenhouse gases. However, the PEM fuel cell is a complex multivariable system with a large number of input and output factors, and most of the input factors affect output factors directly or indirectly. As a result, it is conventionally quite difficult to determine which input factor has a major effect on a particular output factor. Statistical methods are very popular for finding the individual and interaction effects of input factors on output factors. In this paper, for the first time, a simple and realistic MATLAB SIMULINK model for a PEM fuel cell is presented to conduct various experimental tests. The developed MATLAB SIMULINK model and statistical design of experiments, Response Surface Methodology (RSM), are used to develop metamodels (mathematical models of the simulation model) for the PEM fuel cell to find the individual and interaction effects of various input factors on output factors. The developed metamodels can be used to find the region for optimum operation of the presented fuel cell. The metamodels are validated by conducting four different statistical tests. The optimum point of operation is presented by calculating stationary points from the metamodels.
Accurate Prediction of Bangla Text Article Categorization by Utilizing Novel Bangla Stemmer
Authors: Uddin Mahtab
Published: August 2024

Text categorization involves assigning predefined category labels to an unlabeled document. With the exponential growth in the accessibility and availability of digital documents over the past decade, this field significantly attracted the scientific community that immensely demands rapid and accurate categorization of these documents. Relying on experts for manual classification is time-consuming and resource-intensive. Consequently, labeling unlabeled digital documents faster more accurately, and more efficiently is inescapable. One promising approach to addressing this demand is the use of machine learning algorithms. Training these algorithms on a large dataset of labeled texts lets them learn patterns and predicted unlabeled documents. This strategy might greatly expedite the categorizing process while retaining a substantial level of accuracy through leveraging artificial intelligence. These algorithms have also enhanced natural language processing techniques, making them more accurate at classifying unlabeled digital documents. In this study, we propose a novel machine-learning computational framework to address this challenge. Our framework incorporates a novel Bangla stemmer, which reduces words to their stems. We then employed TF-IDF for document vectorization, a statistical measure assessing word relevance for categorization purposes. Experimental results reveal that our framework significantly enhances prediction performance, achieving an impressive 95.3% prediction accuracy.
Clinical Applications of Nigella Sativa: A Review Article
Authors: Jawad Maryam Mohammed Hussein M. ,   Department of Basic Science, College of dentistry, Mustainsiriyah University, Baghdad, Iraq, Al-Sheikh Warqa,a Muhammed Shariff , Mohammed Husham Qassim , Al-fahham Ali A. ,   Department of Basic Science, Faculty of Dentistry, Al-Qadisyah University, Iraq,   Faculty of Nursing, University of Kufa, Iraq,   Faculty of Nursing, University of Kufa, Iraq
Published: August 2024

Black seed herb (Nigella sativa L.) is considered a nutraceutical herb, well-known among health-conscious individuals due to its wide range of benefits that attract curiosity not only from discerning individuals who value their health but also from scientific and pharmaceutical industries. It stands among those herbs which have been recently scrutinized for their anti-oxidative and anti-inflammatory abilities. The seeds of N. sativa have been attributed several pharmaceutical and biological properties. It has also been found to promote anti-cancer activity, neuroprotective effects, treating infertility, pulmonary protective activity, enhancing renal and hepatic functions, protection of digestive system, antihypertensive actions, metabolic acceleration, antidiabetic, anti-hyperlipidemic, increasing cell survival and immunomodulatory effects.
The Effect of Service Quality and Facilities on Inpatient Satisfaction at Malinau Regional General Hospital
Authors: Pagewang Esra , Muhtar Entang Adhy , Wahyudi Heri
Published: August 2024

This study aims to analyze how and to what extent the quality of service and facilities influence the satisfaction of inpatients at Malinau Hospital on the satisfaction of inpatients at Malinau Hospital, partially and simultaneously. The type of research used is a quantitative approach with a cross sectional study design with the aim of describing and analyzing whether there is a relationship between the independent variable and the dependent variable.  The population in this study, the number of inpatient visits from June to October 2023 was 1,152, with a research sample of 92 respondents. Data collection techniques used questionnaires, interviews and documentation studies. The data analysis technique uses SPSS version 25. The results of the research obtained a multiple linear regression equation Y = 5.119 + 0.064 significant impact on the satisfaction of inpatients at Malinau District Hospital. The simultaneous test (F test) shows that the quality of services and facilities have a significant effect on the satisfaction of inpatients at Malinau Hospital simultaneously. The partial coefficient of determination (R2) shows that the variables (X1), (X2) are able to explain the variable (Y) by 55.0%. Meanwhile, the remaining 45.0% is explained by other variables not identified in this study.
The effects of exclusive breastfeeding on child health in Chad: evidence from national representative survey data
Authors:   Pan African University Life and Earth Sciences Institute (Including Health and Agriculture), PAULESI, University of Ibadan, Ibadan, Oyo State 200284, Nigeria, Foba Habib Tchoubou , Bello Folasade Adenike ,   College of Medicine, University of Ibadan, Queen Elizabeth II Road, Agodi 200285, Ibadan, Nigeria, Adebanji Atinuke Olusola ,   College of Science, Kwame Nkrumah University of Science and Technology (KNUST), P. O. Box UP 1279, KNUST, Kumasi, Ghana
Published: August 2024

Exclusive Breastfeeding (EBF) for the first six months of life is recommended by the World Health Organization (WHO) to ensure the health of the infant, but there is still debate surrounding the subject in many African countries, including Chad. Non-exclusive breastfeeding in the first six months of life is responsible for 1.4 million deaths and 10% of the burden of disease in children under 5. This study aims to examine how EBF practice affects children's health in Chad. The data for this study is from the 2019 Multiple Indicator Cluster Survey (MICS 2019) for Chad, which covered a sample of 2229 children under six months of age. Binary logistic regression was employed to predict the effect of exclusive breastfeeding practices on both infant morbidities and nutritional adverse outcomes. The results showed that EBF was significantly associated with a reduced occurrence of diarrhea and fever: children who were exclusively breastfed were 33% and 24% less likely to suffer from diarrhea and fever, respectively, compared to those who were not exclusively breastfed. However, there was no significant association between EBF and the incidence of Acute Respiratory Infection (ARI) or the child's nutritional status. This suggests that EBF may be protective against these two common illnesses in young children, but further research is needed to determine if there is a definitive link between EBF and ARI or a child's nutritional status in Chad. Keywords: Exclusive Breastfeeding; Infant Morbidities; Adverse Nutrition; Chad