bluuebunny/crossref_metadata_2025 huggingface dataset:
IOT EMPOWERMENT IN SMART GRID TO ENHANCE EFFICIENCY, RELIABILITY, AND SECURITY THROUGH INNOVATIVE APPLICATIONS
Authors: Ramachandran M. , Prabhakar G.
Published: June 2024

The evolution of the Smart Grid, coupled with the Internet of Things (IoT) technologies, has opened new avenues for enhancing power system efficiency, reliability, and sustainability. This abstract explores three critical applications of IoT in the Smart Grid: Automatic Power Factor Correction (APFC) using Arduino, IoT-based Underground Cable Fault Detector, and Power Theft Detection and Billing utilizing IoT capabilities. Automatic Power Factor Correction (APFC) using Arduino is a dynamic solution to optimize power quality in the grid. By employing IoT-enabled sensors and controllers, the APFC system continuously monitors the power factor of electrical loads and robotically adjusts the reactive power compensation to keep a near unity power factor. This results in reduced energy losses, increased energy efficiency, and improved utilization of electrical assets. The IoT-based Underground Cable Fault Detector addresses the challenges associated with identifying and locating faults in underground power distribution cables. Leveraging advanced sensor technologies, the detector system can pinpoint the exact location of cable faults in real-time, minimizing downtime and service disruptions. Furthermore, with remote monitoring and alerts, maintenance crews can respond swiftly, resulting in improved grid reliability and reduced repair costs. Power Theft Detection and Billing using IoT introduces an innovative approach to tackle the pressing issue of electricity theft, which poses a significant financial burden on utilities. By integrating smart meters and IoT devices, the system can detect abnormal energy consumption patterns and unauthorized tampering with electricity meters. The gathered data is then analyzed to identify potential theft instances, allowing utilities to take appropriate actions, such as issuing accurate bills and implementing penalties. These applications present promising benefits to the Smart Grid; however, their successful deployment relies on addressing certain challenges. Ensuring the security and privacy of data transmitted across IoT networks is paramount to safeguarding sensitive grid information. Additionally, interoperability and standardization of IoT devices are critical to facilitating seamless integration and communication within the grid ecosystem. IoT applications in the Smart Grid offer transformative solutions to enhance power system performance and operational efficiency. Automatic Power Factor Correction, Underground Cable Fault Detection, and Power Theft Detection and Billing demonstrate the potential of IoT technologies to revolutionize the energy sector. By adopting these advancements, utilities can optimize energy utilization, reduce downtime, mitigate revenue losses, and pave the way for a more resilient, sustainable, and intelligent power grid infrastructure
POPULATION DYNAMICS: COMPARATIVE ANALYSIS OF MATHEMATICAL MODELS AND MACHINE LEARNING TECHNIQUES FOR PREDICTING FUTURE POPULATION GROWTH
Authors: K J Sheena , Badge Jyoti
Published: June 2024

The global population is increasing at a very fast rate, and it is likely to increase another two billion by 2050. India has also seen a prominent increase in demographical numbers across the states. India has already surpassed China in the Population this year. Keeping in view of the current situation, population dynamics has a high scope and importance. It deals with changes in population growth rates, age structures, distribution of people and these factors are closely linked to national and global development challenges and their solutions. Many population growth models have been developed in the past by demographers and scientists to study and predict the future population. Exponential, Logistic and Fibonacci population models are few among them. Fibonacci models are based on Fibonacci numbers in Mathematics and its research study was based on Rabbit population. Later it is generalized and extended to human population. Exponential model created a significant place among the population models and predicted that the world population will increase exponentially. Contradicting to this, Logistic population model said that the population can grow either increasing or decreasing based on the carrying capacity- a new term introduced by Verhulst. Recently, machine learning techniques are introduced to predict the population growth and it gives a more approximate and reliable predictions as compared to differential equation based mathematical techniques. This chapter goes deeply into modeling the human population growth of Fibonacci, Exponential and Logistic population models, and machine learning techniques. The data set is collected from 2011 census of 5 major Indian states, analyzed, compared, and predicted the future population till 2031 using the machine learning techniques and Mathematical population models. Among the machine learning techniques, Random Forest method has been used here to predict the population
NEED FOR GUIDANCE AND COUNSELLING SERVICES IN CHILD CARE INSTITUTIONS IN INDIA: A SYSTEMATIC REVIEW
Authors: Seshadri K Sunita , Dhanoa Dr. Simplejit Kaur
Published: June 2024

Children admitted to Child Care Institutions (CCIs) have certain deficiencies that Counsellors and Social Workers need to address in unique ways. Such children can only be expected to appreciate their peculiar skills and assess their strengths and limitations through appropriate counselling. It also gives them the confidence and courage to assimilate into Institutions from different social backgrounds. Further, as per the United Nations Global Compact article, children are the most vulnerable in society; they are dependent and have less control over their lives. Some children are more marginalised and neglected than others because of their Psycho-social problems. The systematic review in this paper aims to assess the need for counselling services in CCIs in India, to find the existing social adjustments of children in CCIs, and to identify the gap in counselling services in CCIs. The Juvenile Justice Act of 2015 mandates that institutions should be the last resort for any child. Lack of parental supervision and support makes children susceptible. Therefore, Child Care Institutions and Observation Homes are places wherein children in need of care and protection and conflict with the law are kept (J.J Act,2015). It is observed that children staying in CCIs exhibit poor social adjustments, poor emotional stability, and behavioural problems (Micheal,2018). Further, due to the lack of love, affection, and untrained staff of the CCIs, the children do not want to stay in CCIs, resulting in trafficking nexus, drug and substance abuse addiction, and antisocial behaviours. Due to a lack of a stimulating environment, intellectual and perceptual competencies were also low among children staying in the institutions
BASEL NORMS AND INDIAN BANKING SECTOR
Authors: Chandra Dr. Saurabh , Sharma Ms. Simran
Published: June 2024

The impact of globalisation and deregulation brought sweeping changes in the banking sector across countries. New vistas opened for augmenting revenues of banks, increased competition in the wake of new products, new processes and technological progress exposed banking to higher risks. The setting up of the Basel Committee on Banking Supervision (BCBS) in 1975 was a significant contribution of the BIS towards international harmonisation of supervisory standards. The BCBS contributed to supervisory standards through issuance of ‘best practices’ papers. Although these standards are not legally binding, they have made substantial impact on banking supervision, in general, and bank capital regulation, in particular. Robust risk management and strong capital position have come to be recognised to be crucial to ensuring safety and soundness of individual banking organisations as also for fostering stability in the financial system. The Basel Core Principles provide a framework of minimum standards for sound supervisory practices. The principles emphasise capital adequacy and risk management process as one of the significant prudential regulation and requirements. The paper aims to research how Indian banks' risk attitudes and capital have been affected by Basel norms. It also aims to analyse the status of implementation of Basel norms by banks in India
MARKET LINKAGES AND PATHWAY TOWARDS COMMERCIALIZATION FOR EMPOWERING TRIBAL WOMEN OF NORTHEAST STATES
Authors: Bhattacharje Dr. Mahua , Mehta Dr. Shivani , Singh Ms Pragya
Published: June 2024

The dearth of enabling environment is responsible for the sluggish growth of commercial livestock farming in Northeast India. To resolve this grave problem the study proposes three broad areas of intervention; a) Capacity enrichment in digital platforms, entrepreneurship, and credit market; b) Skill development on specialized local value-added products and c) Institutional involvement with the Public Private Partnership as a likely model for sustainable growth. The study suggests capacity enhancement programs based on gap analysis with due consideration to the socio-cultural background. Furthermore, outcome-driven programs are to be designed based on the broad area of interest of identified beneficiaries. Digitization, Processing and Packaging, Waste management, Biosecurity measures, Entrepreneurship and Financial literacy are identified gaps for increasing market participation through forward and backward market linkages. The sector's profitability depends on efficient backward linkages through aggregators operating in the B2B model. Changing consumer choices on one hand and the limitations of producers to meet the benchmark by quality and standards, have resulted in opening out the large scope of online trading agents. Recent initiatives in forming FPO/cluster in rural areas can sustain when it is aligned with the market profitable model. It requires support to new ventures working on food, fodder, and veterinary services for efficient backward linkages and managerial efficiency
HOW CAN WE BALANCE BETWEEN MATERIALISTIC AND SPIRITUALISTIC ASPECTS IN OUR LIFE – SOME VIVID THOUGHTS OF SRI SRI THAKUR ANUKUL CHANDRA AND SWAMI VIVEKANANDA
Authors: Bhattacharya Dr. Abhijit , Das Dr. Sujit
Published: June 2024

Always there is a conflict between the champions of materialistic and spiritualistic people. In the 17th century mathematician Rene’ Descartes created- Cartesian split, which essentially established the division between mind and the body as well as matter and spirit. Out of which body and matter could be studied by science but the other domain i.e. mind or spirit was to be known through religion. Swami Vivekananda one of the pioneer of Rama Krishna order told that a spiritual person sees that a divine consciousness creates the world, while the materialist feels that matter is the fundamental reality. Spirituality seeks happiness with in internal world, whereas materialism seeks happiness outside in materialistic world. Spirituality teaches us to aspire for a better life, a more illumined life, while materialism express us to desire more material goods and wealth. Idealism argues the exact opposite of materialism: that the foundation of reality consists only of what is mental, such as the mind, spirit, reason and will. For sublimation, adjustment and redirections of passions (otherwise called complexes). Sri Sri Thakur Anukul Chandra also has given three simple steps for human beings- Jajan(Self reformation and expansion), Jaajan (Nurturing of the environment), Istavriti(Love offering) by following these, a man can experience a hygienic life with full of satisfaction
IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON HUMAN SOCIETY
Authors: Mahato Fulchand
Published: June 2024

The simulation of human intelligence in computer systems and machines is referred to as artificial intelligence (AI). It has an impact on more than just our daily activities and interactions; it also has an affect on our self-perception. This article seeks to define artificial intelligence (AI) and investigate its revolutionary implications on industry, society, and the economy in the twenty-first century. AI exists in numerous forms at the moment, and its modern incarnations have both significant beneficial and harmful effects on human society
Pengaruh Dampak Internet Sosial Media Terhadap Proses Kegiatan Belajar Siswa
Authors: Zaenul Mukhlisin Iis
Published: June 2024

Media sosial merupakan alat komunikasi atau informasi yang memungkinkan penggunanya melakukan percakapan, berbagi informasi, dan mengungkapkan ide. Namun bagi sebagian pelajar, terutama yang tidak menyalahgunakan media sosial untuk keperluan pembelajaran, media sosial justru memberikan ancaman yang sangat menakutkan. Media sosial mempunyai dampak yang sangat besar bagi siswa untuk menunjang keberhasilan belajarnya. Hasil belajar adalah hasil belajar yang dicapai setelah mengikuti suatu proses kegiatan pembelajaran. Hasil belajar juga dapat dinyatakan dalam bentuk angka atau nilai. Diperlukan usaha yang maksimal untuk mencapai hasil belajar. Lebih jauh lagi, kegiatan belajar mengajar memerlukan suatu proses pengelolaan dan pengorganisasian lingkungan sekitar siswa untuk mendorong mereka berkembang dan melaksanakan proses belajar. Peran orang tua dan guru di sekolah sangat diharapkan untuk membantu siswa membatasi penggunaan media sosial. Tujuan penulis menuliskan ini adalah untuk mengetahui pengaruh: (1) prestasi belajar; (2) media sosial; (3) dampak negatif dan dampak positif; (4) peran guru di sekolah terhadap dampak penggunaan media sosial.
Analisis Dampak Penggunaan Smartphone Terhadap Mata Pelajaran Produktif Dalam Pembahasan VPN Server Kelas XI TKJ SMK Al Bannaa Dukupuntang
Authors: Rohyati
Published: June 2024

Smartphone merupakan alat elektronik yang canggih dan berkembang pesat pada saat sekarang ini. Smartphone digunakan oleh kalangan masyarakat terutama pada kalangan pelajar. Dengan adanya Smartphone didalamnya terdapat fasilitas koneksi internet, maka peserta didik dapat memanfaatkannya untuk mengakses berbagai macam informasi atau referensi yang berhubungan dengan pelajaran. Menurut Mayasari (2012) smartphone merupakan pengembangan diri telpone seluler yang kemudian ditambahkan fitur dan fsilitas lainnya sehingga menjadi telepon yang cerdas. Menurut Tamsir (2021:5) Teknologi tunneling VPN bertanggung jawab untuk mengelola dan menyediakan konektivitas point-to-point dari sumber menuju tujuan. Penelitian ini mengunakan pendekatan kualitatif dengan metode deskriptif. Teknik pengumpulan data pada penelitian ini adalah dengan cara observasi partisipatif, wawancara mendalam, dan studi dokumentasi. Hasil Penelitian ini adalah (1) Anak kelas 11 TKJ SMK Al Bannaa Dukupuntang yang berjumlah 18 sudah mempunyai hadphone masing-masing. (2) Anak kelas 11 TKJ SMK Al Bannaa Dukupuntang tidak semuanya dapat memanfaatkan hadphone dalam kegiatan pembelajaran produktif dalam pembahasan VPN dan ada beberapa anak yang dapat memanfaatkan hadphonenya untuk kegiatan pembelajaran produktif dalam pembahasan VPN Server. Sehingga ada anak yang tidak paham terhadap materi VPN Server dan ada juga anak yang sudah paham materi VPN Server.
Analysis of the Causes of Audit Delay in IDX30 Companies on the Indonesia Stock Exchange (IDX)
Authors: Amalia Shinta , Hermawan Hermawan
Published: June 2024

The publication of financial statements has been regulated by the Indonesia Stock Exchange (IDX) and is a company obligation. Although there are regulations regarding the maximum time for the publication of audited financial statements, many companies still delay submitting these financial statements. A similar situation also occurs with companies classified under the IDX30 on the Indonesia Stock Exchange (IDX). This study explores whether the sector, profitability, and profit and loss of the company influence audit delay in IDX30 companies. This study uses a quantitative approach and purposive sampling technique for sample selection. The study population includes 30 IDX30 companies listed on the Indonesia Stock Exchange from 2018-2022. The study results indicate that the sector, profit and loss, and company profitability positively influence audit delay in IDX30 companies.
Factors affecting customer experience in using digital banking, study in Vietnam
Authors:   Banking Academy of Vietnam, Pham Thu Thuy , Pham Van Khanh ,   Bank for Investment and Development of Vietnam
Published: June 2024

Most of the firms now agree that creating strong customer experience is becoming the most prioritized activity to attract and endure customers (Lemon, 2016). In previous research, the notion of customer experience is commonly mixed with customer satisfaction, customer loyalty, service quality and other related concepts. The study focusses on the root character istics that distinguish customer experience from other related concepts, which is the customer journey with pre-purchase, purchase, and post purchase stages. Applied in digital banking services with a survey of 215 retail customers in Vietnam, using structure equation modeling, the find ings show that all brand experience, registration experience, “ease of use” experience, “perceived value” experience, security experience significantly and positively impact customer experience. The finding is also potentially robust for other emerging markets with fierce competition and rapid digital transformation in the banking sector.
Earnings management and dividend policy of listed firms in the Ho Chi Minh City stock exchange
Authors:   Banking Academy of Vietnam, Le Thi Ngoc Anh , Nguyen Duc Hieu , Nguyen Huyen Trang , Nguyen Ngoc Phuong Linh , Le Thi Thu Ha
Published: June 2024

Prior studies show that paying dividends limits private control benefits available to managers, which may restrict agency problems and the possibilities of managers manipulating earnings. This paper examines whether dividend policy has an impact on earnings management on a sample of listed firms on the Ho Chi Minh Stock Exchange in the period from 2012 to 2022. We use different proxies of earnings management, including accrual based and real earnings management. The results show that dividend paying firms have a lower level of earnings management than non-dividend paying firms. Besides, book-to-market equity ratio, firm size, leverage, return on assets, number of years listed and free cash flow also have impacts on earnings management. Our results are consistent when using different estimation methods, including OLS, fixed effects, random effects, GLS and GMM regressions with STATA 14. We offer some solutions for the government, the firms and investors to better ensure and understand the quality of firms’ financial reporting.
Insider trading and its effects on stock price in Vietnam
Authors:   Foreign Trade University, Nguyen Thi Hoa Hong , Cao Dinh Kien
Published: June 2024

The paper examines the effect of insider trading on stock prices of non-financial companies listed on the Vietnam stock market in the period of 2010-2019. Using event study methodology, the empirical results show that there are abnormal returns surrounding announcements of trading activities of insiders in Vietnam. More specifically, there are positive abnormal returns when buying announcements of insiders and there are negative abnormal returns when selling announcements of insiders. In addition, the study also shows factors affecting positively the abnormal returns around announcements of insider trading events, such as dividend per share, return on assets, insiders who are member of the Board of Directors and the number of insider trading stocks.
The impact of financial technology, financial inclusion and the level of financial development on income inequality in countries around the world
Authors:   Banking Academy of Vietnam, Phạm Tiến Mạnh , Nguyễn Ngọc Hà
Published: June 2024

This research uses data from 157 countries in the period 2011-2022, divided into developed, developing and underdeveloped country groups, to find out the relationship between financial technology , financial inclusion and the level of financial development to income inequality in these country groups. This research uses panel data with three estimation models OLS, FEM and REM, then use F test, Breusch-Pagan Lagrangian and Hausman test to select the appropriate model. To check the robustness of the model, the research performed the Wald and Wooldridge tests, and finally adjusted the GLS model if defects existed Research results show that, in developed countries, income inequality is strongly affected by the level of financial development, financial technology and financial inclusion. For the group of developing countries, financial development, saving at financial institutions significantly impact on income inequality. Meanwhile, in underdeveloped countries, there are two factors of financial inclusion including the proportion of people with accounts at financial institutions and the proportion of people borrowing from official financial institutions significantly influence on income inequality.
IS ROMANIA PREPARED FOR THE NATIONAL BIOECONOMY STRATEGY?
Authors:   Institute of Agricultural Economics, Romanian Academy, Bucharest, Romania, VOICILAŞ Dan Marius
Published: June 2024

The purpose of the paper is to present the level of development of the bioeconomy in Romania showing how well Romania is prepared to have a national bioeconomy strategy. Based on the analysis, results and documents of the BIOEAST Initiative and the BIOEASTsUP Project, the study underlines the main characteristics, needs, opportunities, and challenges of the country, in a regional and EU context. The results show what Romania achieved in the last years, which are the obstacles and the benefits of changes in its national strategies. It is highlighted that, the opportunity to develop a national bioeconomy strategy in accordance with EU regulations should not be lost, so that EU funds for this purpose in 2021-2027 financial period can be accessed.
INTEGRAL CAPITALIZATION OF HEMP OILS IN ACCORDANCE WITH CIRCULAR BIO ECONOMY PRINCIPLES
Authors:   Bioterra University of Bucharest, Romania, VLĂSCEANU Gabriela , PETCULESCU Nicole ,   Institute of Agricultural Economics, Romanian Academy, Bucharest, Romania, APETREI Andrei ,   S.C. Alcos Bioprod SRL, Samurcași, Dâmbovița County, Romania, TOMA Camelia ,   Institute of Agricultural Economics, Romanian Academy, Bucharest, Romania
Published: June 2024

The present paper makes a review of the current industrial hemp uses, given the biological, ecological, technological, sociological and economic properties of its cultivation and capitalisation. The whole plant can be processed with zero waste. The oils from the organic hemp plant, with a complex composition, being non-toxic and processed by modern technologies, can be used as raw materials for the manufacture of phyto-medicines and food supplements or for cosmetics products, according to the bio-circular economy principles. In our case study, such oils produced in an organic processing facility are analysed. The chromatographic analysis showed a balanced ratio of unsaturated fatty acids (omega6 / omega3). After processing the aerial part of the hemp plant (herba) to obtain CBD (cannabinoid) oil, the remains are used as the plant base for the production of bio-compost, and after the cold pressing of seeds, the resulting parts are dried and ground. The resulting powder, which represents a rich source of quality, easily digestible proteins, can be used in the bio-economic circuit for obtaining premixes (for human and veterinary use), bakery products, protein bars and various functional foods.
THE USEFULNESS OF BRANDING IN AGRICULTURAL MARKETING
Authors:   Institute of Agricultural Economics, Romanian Academy, Bucharest, Romania, MUNTEANU Claudiu-Cătălin
Published: June 2024

The post-pandemic landscape has ushered in significant changes in food and agricultural markets, with a call from policymakers for proactive transformation towards a climate-neutral, digital, and inclusive food sector. Despite policy recommendations, market trends are primarily shaped by consumer behaviour, and many consumers remain hesitant to embrace circular economy practices and sustainability paradigms. Thus, policymakers must consider consumer preferences and willingness to change consumption patterns. In this context, branding emerges as a crucial tool in agricultural marketing, capable of influencing consumer preferences and promoting agricultural products, contributing to the sector's overall success. A traditional view of agricultural marketing involves the logistics of moving products from farms to consumers. However, in this evolving landscape, branding transcends mere logos and slogans, encompassing the holistic image, reputation, and perception of agricultural products. This article explores the role of branding within the agricultural supply chain and delves into the importance of branding by examining strategies and case studies in agricultural markets. It also underscores the challenges in agricultural branding while offering potential solutions.
ROMANIAN VEGETABLES – A TRADE BALANCE ANALYSIS
Authors:   Institute of Agricultural Economics, Romanian Academy, Bucharest, Romania, GAVRILESCU Camelia
Published: June 2024

In the post-accession period, along with the repositioning of various crops and expansion of cereals and oilseeds production, areas under vegetables and potatoes and their respective productions decreased. Nevertheless, demand increased in quantities, as well as in quality and diversity, and the result was a significant increase in imports. The present paper makes a detailed analysis of the main trends of trade flows in vegetables and potatoes, in terms of values, quantities, prices, directions and composition. The results show a significant increase in the share of imports in the availabilities of agri-food products for consumption, along with an increase of trade deficit for almost all kinds of vegetables.
Fractional Quadratic Deceleration Parameter (FQDP): Observational and Theoretical Perspectives
Authors:   Department of Mathematics, Sant Longowal Institute of Engineering and Technology,
Longowal-148106, Punjab, India, MISHRA R. K. , JAIN NAVYA ,   Department of Mathematics, Sant Longowal Institute of Engineering and Technology,
Longowal-148106, Punjab, India
Published: June 2024

This study explore the dynamics of cosmic expansion through a detailed exploration of a novel form of the deceleration parameter, denoted as q =
α(t
2−1)
t
2+1 ,
within the framework of f(R,T) gravity theory. This study employs both observational
and theoretical approaches to unveil the intricate interplay of cosmic forces and phenomena that have a profound influence on the ever-evolving universe. The primary objective
of this investigation is to gain a deeper understanding of the expanding dynamics, particularly the transition from deceleration to acceleration. The findings of this paper shed
light on the presence of a phase transition and an initial singularity, while remaining
consistent with the ΛCDM model. Moreover, this study serves as a foundation for further exploration within the f(R,T) gravity framework, providing fresh insights into the
cosmos and offering a profound comprehension of the universe’s dynamic evolution.
A "Green" Approach for Phenol Removal from Synthetic Water, by Peroxidase Extracted from Cabbage Leaf Waste
Authors:   Faculty of Technology, University of Nis, Bulevar Oslobodjenja 124, 1600 Leskovac, Serbia, SAVIĆ S. , PETROVIĆ S. ,   Faculty of Technology, University of Nis, Bulevar Oslobodjenja 124, 1600 Leskovac, Serbia, MITROVIC J. ,   Faculty of Technology, University of Nis, Bulevar Oslobodjenja 124, 1600 Leskovac, Serbia, GLISIC S. ,   Academy of Vocational Studies Southern Serbia, Leskovac, Serbia, BARBINTA-PATRASCU M.-E. ,   Faculty of Physics, University of Bucharest, 405 Atomistilor Street,
PO Box MG-11, Bucharest-Magurele, 077125, Romania
Published: June 2024

This study underlines the idea of valorizing vegetable waste in a
“green” approach for water bioremediation. In this research, the possibility of using
unpurified peroxidase obtained from cabbage leaf waste in the process of removing
phenol from aqueous solutions was examined. This biocatalyst exhibits catalytic
activity in a wide range of temperatures, pH values, and pollutant concentrations. The
efficiency of phenol removal was monitored spectrophotometrically, by measuring the
change in the residual amount of phenol in the reaction mixture. The influence of
peroxidase, phenol, hydrogen peroxide, and polyethylene glycol (PEG) concentrations,
as well as incubation time, temperature, pH value, and shaking rate on the efficiency of
the phenol removal process, was comprehensively evaluated. The results showed that
the use of raw, unpurified peroxidase from cabbage leaf waste can successfully replace
commercial peroxidase and thereby significantly reduce the procedure cost. In addition,
the presence of PEG as a peroxidase stabilizer showed little effect on the phenol
removal efficiency, indicating that the extracted crude peroxidase is stable even without
a commercial stabilizer, which could further cheapen the phenol removal process.
Tritium Content Determination in Titanium Tritide Targets from Romanian Decommissioned Nuclear Facilities
Authors:   “Horia Hulubei” National Institute for Physics and Nuclear Engineering, 30 Reactorului Street,
P.O. Box MG-6, 077125 Magurele, Romania, TUȚĂ C.S. , BUBUEANU G. G. ,   “Horia Hulubei” National Institute for Physics and Nuclear Engineering, 30 Reactorului Street,
P.O. Box MG-6, 077125 Magurele, Romania, TEODORESCU C. ,   “Horia Hulubei” National Institute for Physics and Nuclear Engineering, 30 Reactorului Street,
P.O. Box MG-6, 077125 Magurele, Romania, POSTOLACHE C. ,   “Horia Hulubei” National Institute for Physics and Nuclear Engineering, 30 Reactorului Street,
P.O. Box MG-6, 077125 Magurele, Romania, BARNA C. M. ,   “Horia Hulubei” National Institute for Physics and Nuclear Engineering, 30 Reactorului Street,
P.O. Box MG-6, 077125 Magurele, Romania, IOAN M.-R. ,   “Horia Hulubei” National Institute for Physics and Nuclear Engineering, 30 Reactorului Street,
P.O. Box MG-6, 077125 Magurele, Romania
Published: June 2024

The decommissioning or refurbishing processes of nuclear facilities
result in significant amounts of radioactive wastes. Radiological characterization is essential to ensure safe handling, transportation, and disposal of these wastes and includes
the assessment of the radioactivity levels and types of radioactive materials present in
the wastes. The present paper presents the tritium activity determination in used titanium tritide targets from different decommissioned nuclear facilities from Măgurele
Area – Romania. The determination of tritium content in tritiated targets involves the
use of the Total Combustion technique coupled with Liquid Scintillation Counting analysis of the resulting tritiated water. The tritiated testosterone controlled contaminated
titanium powder was used to determine the overall yield of the Total Combustion facility. The determined yields were then used to correct the experimental values obtained
during the process.
Some personal notes on the REF OA mandate for books
Authors: Eve Martin Paul
Published: June 2024

A few personal notes on the clamour around OA for books (written from the perspective of [an author of 10 books](https://eve.gd/books/) that are all openly accessible): 1. The REF mandate for books has been argued and trialed over an eight-year period, starting with the 2016 ‘Consultation on the second Research Excellence Framework’, published by the Higher Education Funding Council for England.
An artificial sugar beet for the eyes of Artificial Intelligence
Authors: Zauner Hans
Published: June 2024

Plant phenotyping – the science of gathering precise information and measurements on plants – has seen massive improvements recently, and the combination of sensor technology and AI methods will continue to change the way crops are assessed and improved. A new article in

GigaScience

demonstrates where this is going: Jonas Bömer and colleagues at the Institute of Sugar Beet Research (Göttingen) used
Harmful algal blooms (HAB) open issues: A review of ecological data challenges, factor analysis and prediction approaches using data-driven method
Authors: Rostam Nur Aqilah Paskhal , Ahamed Hassain Malim Nurul Hashimah , Azmee Nur Afzalina , Figueiredo Renato J. , Osman Mohd Azam , Abdullah Rosni
Published: June 2024

Ongoing research on the temporal and spatial distribution of algae ecological data has caused intricacies entailing incomprehensible data, model overfit, and inaccurate algal bloom prediction. Relevant scholars have integrated past historical data with machine learning (ML) and deep learning (DL) approaches to forecast the advent of harmful algal blooms (HAB) following successful data-driven techniques. As potential HAB outbreaks could be predicted through time-series forecasting (TSF) to gauge future events of interest, this research aimed to holistically review field-based complexities, influencing factors, and algal growth prediction trends and analyses with or without the time-series approach. It is deemed pivotal to examine algal growth factors for useful insights into the growth of algal blooms. Multiple open issues concerning indicator types and numbers, feature selection (FS) methods, ML and DL forms, and the time series-DL integration were duly highlighted. This algal growth prediction review corresponded to various (chronologically-sequenced) past studies with the algal ecology domain established as a reference directory. As a valuable resource for beginners to internalize the algae ecological informatics research patterns and scholars to optimize current prediction techniques, this study outlined the (i) aforementioned open issues with an end-to-end (E2E) evaluation process ranging from FS to predictive model performance and (ii) potential alternatives to bridge the literature gaps.
Exploring cybercrime history through a typology of computer mediated offences: Applying Islamic principles to promote good and prevent harm
Authors: Gilani Syed Raza Shah , Mujtaba Bahaudin Ghulam , Zahoor Shehla , AlMatrooshi Ali Mohammed
Published: June 2024

By the new century, the sheer complexity and number of reported cybercrime incidents had exposed major flaws in the cybersecurity infrastructure of industry giants, as well as governments. For example, there have been numerous attempts to intercept Google’s source code for the purposes of extracting confidential commercial data. National authorities were also slow to respond to the distribution of offensive images or copyrighted materials over the internet. While previous threats were mostly localized to certain computer systems, in particular countries, the emergence of the modern financial system has transformed digital crimes into a transnational phenomenon. In the intervening years, several companies, such as Lloyds in 2015, have been targets of financial hacking operations. The loss associated with cybercrime has been escalating annually, with figures indicating that costs borne by companies had quadrupled between the years of 2013 and 2015. The challenge has become worse in the recent years and artificial intelligence applications can create even more complexity and anxiety for professionals in every workplace. So, this trend of cybercrimes growing rapidly in the era of artificial intelligence is likely to affect developing and transnational economies, as more public and private sector banking institutions conduct their services online. Muslim countries must jointly collaborate, discuss, and link their spiritual principles to guard against, discourage, and prevent cybercrimes. Implications for Islamic nations along with their public and private sector leaders are explored in this manuscript.
Application of machine vision in drying process modeling of carrot slices
Authors: Basu Gourab , Dhalsamant Kshanaprava , Tripathy Punyadarshini Punam , Sharma Sonu
Published: June 2024

In this current research, the drying characteristics of carrot slices dried in a convective hot-air dryer are analyzed employing image analysis to determine the most significant factor. From the acquired images, nine parameters viz. redness (R), greenness (G), blueness (B), lightness (L), redness (a), yellowness (b), energy, entropy, and upper surface area of carrot slices were calculated using the algorithm developed in MATLAB 2015a. Boruta feature selection algorithm in the R console showed lightness, redness, and energy were the most significant features among calculated parameters. Additionally, single-layer feed-forward artificial neural network (ANN) architecture with three inputs (hot air temperature, thickness of slices, drying time), and outputs namely lightness, redness, and energy with one hidden layer was used to model input variables to that of responses. Multiple regression models are employed to optimize the drying condition by further assessing the behavior of response variables with hot air temperature and thickness of slices as inputs and lightness, redness, and energy as outputs. The lightness and redness of samples are found to be decreasing with an increase in temperature and a decrease in thickness. Whereas, the effect of these input parameters on energy, the measure of homogeneity of the product surface, is found to be reversed to that of the effect on lightness and redness. Lightness and redness are set to be highest, whereas energy was kept to be lowest. Convective hot air temperature of 60 ℃ and 7 mm thickness sample was found to provide the best quality product within the experiment range.
Revolutionizing Neurosurgery and Neurology: The transformative impact of artificial intelligence in healthcare
Authors: Hamam Habib
Published: June 2024

The integration of artificial intelligence (AI) has brought about a paradigm shift in the landscape of Neurosurgery and Neurology, revolutionizing various facets of healthcare. This article meticulously explores seven pivotal dimensions where AI has made a substantial impact, reshaping the contours of patient care, diagnostics, and treatment modalities. AI’s exceptional precision in deciphering intricate medical imaging data expedites accurate diagnoses of neurological conditions. Harnessing patient-specific data and genetic information, AI facilitates the formulation of highly personalized treatment plans, promising more efficacious therapeutic interventions. The deployment of AI-powered robotic systems in neurosurgical procedures not only ensures surgical precision but also introduces remote capabilities, mitigating the potential for human error. Machine learning models, a core component of AI, play a crucial role in predicting disease progression, optimizing resource allocation, and elevating the overall quality of patient care. Wearable devices integrated with AI provide continuous monitoring of neurological parameters, empowering early intervention strategies for chronic conditions. AI’s prowess extends to drug discovery by scrutinizing extensive datasets, offering the prospect of groundbreaking therapies for neurological disorders. The realm of patient engagement witnesses a transformative impact through AI-driven chatbots and virtual assistants, fostering increased adherence to treatment plans. Looking ahead, the horizon of AI in Neurosurgery and Neurology holds promises of heightened personalization, augmented decision-making, early intervention, and the emergence of innovative treatment modalities. This narrative is one of optimism and collaboration, depicting a synergistic partnership between AI and healthcare professionals to propel the field forward and significantly enhance the lives of individuals grappling with neurological challenges. This article provides an encompassing view of AI’s transformative influence in Neurosurgery and Neurology, highlighting its potential to redefine the landscape of patient care and outcomes.
Medical image classification using a quantified hazard ratio and a multilayer fuzzy approach
Authors: Akula Kishore Kumar , Akula Monica , Gegov Alexander
Published: June 2024

We previously developed two AI-based medical automatic image classification tools using a multi-layer fuzzy approach (MFA and MCM) to convert image-based abnormality into a quantity. However, there is currently limited research on using diagnostic image assessment tools to statistically predict the hazard due to the disease. The present study introduces a novel approach that addresses a substantial research gap in the identification of hazard or risk associated with a disease using an automatically quantified image-based abnormality. The method employed to ascertain hazard in an image-based quantified abnormality was the cox proportional hazard (PH) model, a unique tool in medical research for identifying hazard related to covariates. MFA was first used to quantify the abnormality in CT scan images, and hazard plots were utilized to visually represent the hazard risk over time. Hazards corresponding to image-based abnormality were then computed for the variables, ‘gender,’ ‘age,’ and ‘smoking-status’. This integrated framework potentially minimizes false negatives, identifies patients with the highest mortality risk and facilitates timely initiation of treatment. By utilizing pre-existing patient images, this method could reduce the considerable costs associated with public health research and clinical trials. Furthermore, understanding the hazard posed by widespread global diseases like COVID-19 aids medical researchers in prompt decision-making regarding treatment and preventive measures.
The Effects of Community Involvement on Prevalence of Security Challenges in the Coastal Region of Tanzania
Authors: Hamisi Aisha , Ngusa Baraka
Published: June 2024

This study was conducted to establish the effects of community involvement on the prevalence of security challenges in the Coastal Region. This study was guided by the rational choice theory by Becker 1968. The study employed the quantitative approach and the descriptive research design with a sample of 136 respondents obtained using simple random sampling techniques. The validity of the questionnaire was ensured through critical reading by the research supervisor before the instrument was used in the field to collect data. An acceptable reliability test was revealed by the Cronbach’s Alpha of above 0.7 which was run through the SPSS. Data analysis for the first two research questions involved descriptive statistics in terms of frequencies, percentages, mean scores, and standard deviations. The last research question was analyzed through the Pearson Product Moment Correlational Coefficient to determine the relationship between the independent and dependent variables. Based on the findings and discussions of the study, the following conclusions were reached about factors influencing security challenges in the Coastal Region of Tanzania: The study concludes that security challenges exist in the Coast Region. The involvement of community members was limited to reporting security issues to relevant authorities without uncovering specific people who engaged in security issues. Therefore, the involvement of security agencies and community members was low. The community members' limited engagement and involvement in security agencies increased the prevalence of security challenges.
Influence of Fraud Triangle on Financial Statement Fraud with Financial Distress as an Intervening Variable
Authors: Nurfadilah Sri , Putra Wirmie Eka , Ridwan Muhammad
Published: June 2024

This study aims to determine the effect of the fraud triangle on financial statement fraud with financial distress as an intervening variable. The population of this study were all financial sector companies totaling 107 and then withdrawing samples using purposive sampling method, there were 42 companies that met the sample criteria. The results showed that pressure affects financial statement fraud, pressure affects financial distress, financial distress affects financial statement fraud, financial distress is able to mediate the relationship between pressure and financial statement fraud, Furthermore, opportunity and rationalization have no effect on financial statement fraud. Opportunity and rationalization have no effect on financial distress. Financial distress is unable to mediate the relationship between opportunity and rationalization with fraudulent financial statements.
Paul Freire’s Dialogic Pedagogy and Peace Education
Authors: Zhang Hua , Jiang Jindi , Li Jialin
Published: June 2024

Paul Freire’s dialogic pedagogy and peace education have not only had a profound impact in the education industry, but also resonated widely in a wider range of social fields. His dialogic pedagogy emphasizes equal dialogue, respect for diversity, and the establishment of shared learning spaces in the educational process, which coincides with the concept of peace education. In the practice of peace education, Freire’s dialogic pedagogy can provide an effective way of implementation. Through equal dialogue and shared learning spaces, learners can better understand the importance of peace, learn how to effectively resolve conflicts, and contribute to promoting social peace and development.
Research on Teaching Reform of Green Mining in Higher Vocational Colleges from the Perspective of Curriculum Ideology and Politics
Authors: Mu Chi
Published: June 2024

In the new period, it is an important task for higher vocational colleges to strengthen curriculum ideological and political construction and implement moral cultivation. In the teaching design of Green Mining of Mines” in higher vocational colleges, centering on “achieving the goal of comprehensive ecological management of mining areas” as the core element, assisted by the national spirit of perseverance and active striving and the attitude of seeking truth from facts and safety, in-depth thinking about the teaching reform path under the curriculum ideology and politics can promote the development of vocational education and realize the comprehensive and diversified development of students. This paper analyzes the connotation of curriculum ideology and politics, the necessity of integrating “Green mining” teaching into curriculum ideology and politics, and explores effective teaching reform measures combined with the current teaching situation.
Research on Marketing Teaching Reform in the Era of Computer Networking
Authors: Wang Xiangyu , Wang Han , Wang Xingyu
Published: June 2024

In the context of the era of computer networking, the development of marketing presents new characteristics, and puts forward new requirements for marketing talents. The article discusses the current situation of marketing development in the era of computer networking, analyzes the dilemma of marketing teaching reform in the era of computer networking, and finally explores the reform strategy of marketing teaching in the era of computer networking from the aspects of strengthening the application of technology, enriching the teaching methods, focusing on practical teaching and enriching the teaching resources in the hope that it will provide a useful reference for the reform of marketing teaching and improve the teaching of marketing. We hope to provide useful reference for the reform of marketing teaching, improve the efficiency of marketing teaching, and cultivate modern marketing talents.