bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Molecular Structure Elucidation: MultiModalTransformer for both simulated and experimental spectra
Authors: Priessner Martin , Lewis Richard , Janet Jon Paul , Lemurell Isak , Johansson Magnus , Goodman Jonathan , Tomberg Anna
Published: November 2024

We present MultiModalTransformer (MMT), a novel deep learning architecture that directly predicts molecular structures from diverse spectroscopic data (1H-NMR, 13C-NMR, HSQC, COSY, IR, and mass spectrometry (MS). Utilizing a modified Transformer model with attention mechanisms, the MMT simultaneously processes multiple data modalities to focus on the most relevant spectral features. Our approach demonstrates significant advancements in automated structure determination, achieving up to 94% correct identifications for real experimental samples despite being trained solely on simulated spectra. To address the challenges of vast chemical space and limited experimental data we introduce an innovative improvement cycle that allows MMT to adapt to new chemical spaces. The model's robustness is evidenced by its ability to maintain substantial predictive power even when starting with slightly incorrect molecular structures, identifying 56% of experimental molecules correctly from modified initial guesses. MMT provides explainable predictions through token-based analysis, offering insights into its decision-making process. We also present a user-friendly GUI that integrates the full improvement cycle workflow, facilitating practical application in chemistry laboratories. By leveraging diverse spectral inputs and adaptive learning techniques, MMT represents a significant step towards fully automated structure elucidation, potentially accelerating drug discovery and natural product research while demonstrating that comprehensive chemical space coverage in training data is more critical than precise spectral accuracy.
Analýza využitia pozemných rádionavigačných zariadení v civilnom letectve
Authors:   University of Žilina, Kontra Leo , Chodelka Frederik
Published: November 2024

The goal of this article is to showchase the different possibilities and ways to execute instrument navigation in civil aviation. Two general types of navigational aids and systems are presented, which are, on one hand the conventional, ground-based radionavigational aids and on the other hand, the more modern, satellite based systems. Differneces between them are explained together with their advantages and disadvantages. The current situation in this area is analysed, especially in Slovakia with its surrounding countries, and the changes in procedures that occur in time are noted. The next way of evolution in the future is also indicated based on commenced processes as well as the current legislation concerning this area. In the end readers of this article are given a brief introduction into this problematic containing the current trends of evolution.
Identifikácia rušenia GNSS signálu na letiskách
Authors:   University of Žilina, Paraska Michal , Novák Andrej
Published: November 2024

In this thesis, the interference of GNSS signals at airports was studied, identifying the main types of interference and their sources. Through a thorough analysis and reevaluation of experimental setups, effective detection methods and mitigation strategies were established. The findings emphasize the significant impact of interference on safety and operational efficiency in aviation. It is recommended to enhance signal integrity with advanced monitoring systems and to work with aviation regulatory authorities to update existing frameworks, ensuring reliable GNSS functionality in an increasingly congested environment.
Changes in the total phenolic contents, chlorogenic acid, and caffeine of coffee
cups regarding different brewing methods
Authors: Anh-Dao L.-T. , Chi-Thien T. , Nhut-Truong N. , Tu-Chi T. , Minh-Huy D. , Thanh-Nho N. , Cong-Hau M.
Published: November 2024

Coffee is among the most popular beverages consumed worldwide due to its taste, flavor,
and alertness effects on drinkers. Besides, caffeine and chlorogenic acid are known as
featured compounds of coffee, and there are various phenolic compounds, that
demonstrate many benefits for human health. However, the concentrations of those
compounds ingested into the human body are greatly dependent on how coffee infusions
are prepared. The extraction efficiency of phenolic compounds, caffeine, and chlorogenic
acid in the Arabica and Robusta coffee obtained from the light, medium, and dark roasting
levels, using the hot brew (at 50°C and 90°C) and cold brew methods was studied. The
total phenolic contents (TPCs) were measured by the Folin-Ciocalteu assay, while the first
-order derivative spectrophotometry was used to determine the caffeine and chlorogenic
acid. Generally, light-roasted Robusta had the highest caffeine (2.10±0.017% w/w),
chlorogenic acid (5.63±0.011% w/w), and TPCs (45.5±0.9 mg GAE/g). For brewing
experiments, 10 g of coffee was brewed (100 mL of water) for different extraction times.
The results show that hot brewing at 90°C was the most efficient method for extracting the
TPCs and chlorogenic acid, while cold brewing was better for extracting caffeine.
Extraction efficiency increased with longer extraction times, especially for the light
roasting level.
Factors Influencing Cryptocurrency Adoption Among Citizens of Selangor
Authors: Hong Yeap Sheng , Kassim Aza Azlina Md
Published: November 2024

Purpose: Technological advancements and the increase in public interest in digital financial solutions have led to the rise of the cryptocurrency market. This is because cryptocurrencies are offering several advantages compared to traditional banking. However, cryptocurrency adoption among Selangor’s citizens remains low and leads to missed economic prospects. Thus, this study aims to investigate the key factors influencing the adoption of cryptocurrencies among Selangor’s citizens.
Design/Methodology/Approach: This study employs a quantitative approach using surveys to gather insights from 300 Selangor citizens. This study will utilize convenience sampling techniques to administer questionnaires to 300 selected respondents from Selangor. Data analysis will be conducted using SPSS to provide in-depth statistical insights on the adoption patterns and motivations.
Findings: This study is expected to reveal performance expectancy, effort expectancy, social influence and facilitating conditions are significant drivers of cryptocurrency adoption. Findings of this study will suggest that the perceived benefits, ease of use, social dynamics surrounding cryptocurrency use, and resource availability have a stronger impact on adoption decisions.
Implications/Originality/Value: This study suggests that in order to encourage cryptocurrency adoption in Selangor, the Malaysian government's efforts should focus on raising awareness on cryptocurrency benefits and addressing social influences. Improving facilitating conditions and reducing the perceived complexity of cryptocurrency usage are also significant for promoting wider adoption.
DOUBLE ELZAKI DECOMPOSITION METHOD FOR SOLVING PDES ARISING DURING LIQUID DROP FORMATIONS
Authors: Singh Inderdeep , Kaur Parvinder
Published: November 2024

Partial differential equations are essential to every branch of science and engineering. They are regarded as the fundamental components of the majority of mathematical and physical simulations with practical uses. Numerous partial differential equations may be useful in the description of a physical phenomenon that could help in a deeper comprehension of its behaviour. The importance of PDEs has drawn more attention in recent years, which motivates researchers to solve these equations analytically and numerically. In this study, we propose a new hybrid technique for solving partial differential equations arising during liquid drop formations. The proposed hybrid technique is the combustion of double Elzaki transform and the classical Adomian decomposition method. To illustrate the simplicity and accuracy of the proposed scheme, some experimental work has been carried out.
DYNAMICS OF REINFORCED CONCRETE SLAB OF PEDESTRIAN BRIDGE WITH RIGID REINFORCEMENT
Authors: Alekseytsev Anatoly , Kvočak Vincent , Popov Dmitry , Al Ali Mohamad
Published: November 2024

The article is devoted to the actual problem of studying the dynamic response of bent plate structures with reinforcement represented by rigid metal profiles. Such structures can be used in pedestrian bridges or other span structures. A finite element model is built by using the example of a pedestrian bridge slab with reinforcement in the form of steel T-shape profiles. Deformations of concrete, reinforcement, and rigid reinforcement bars are described by a system of solid and shell finite elements, that take into consideration modern models of physical, geometric, and structural nonlinearity. The dynamic impact is modeled at low speed in two variants. The first is a blast load is applied in the middle of the span according to a symmetrical scheme, and the second pursuant to an asymmetric scheme. The structural and inertial damping of vibrations of the damaged system is taken into account. In this case, an implicit integration method is used. The time variation of the dynamic load implies a residual mass of the impacting body that vibrates with the slab structure after the onset of impact. The bond between concrete and stiff rebar is evaluated by the level of cohesion stresses in the vicinity of the profile with maximum strains. The finite element model is verified with a full-scale experiment in which a slab with rigid reinforcement is built and tested. Numerical studies have shown that asymmetrical loading can have a more negative effect on the structure than symmetrical loading, with structure deflections varying by up to 42%. As a result, the effectiveness of experimental theoretical modeling of the dynamics of such structures is shown, which can be used for both typical and individual designs.
PATTERN SYNTHESIS USING RANDOM ARRAY ELEMENT WEIGHTS
Authors: Ramya K , Raju G. S. N , Sunny Dayal P. A.
Published: November 2024

It is well known that methods of pattern synthesis reported in the open literature are mostly conventional. The methods include either standard distribution, empirical techniques, or analytical techniques. Every method has its own advantages and disadvantages regarding the overall pattern structure. The pattern structure is characterized by the main lobe and the side lobe behavior in the case of the sum pattern. On the other hand, difference patterns are the patterns characterized by the two different lobes and side lobe structures. Sequentially generating sum and difference patterns is advantageous in IFF radar applications. To simplify the design procedure and improve the pattern characteristics, an attempt is made to use random weights as amplitude excitation. Interestingly, useful results are obtained. The sum and difference are designed using the random approach and are presented in the sinθ domain for the arrays of dipoles and microstrip elements. The results are helpful for the array design depending on the applications and user requirements.
SOLVING 2D MATHEMATICAL MODELS ARISING IN APPLIED SCIENCES WITH CAPUTO DERIVATIVES VIA HYBRID HPM
Authors: Singh Inderdeep , Kumari Umesh
Published: November 2024

This paper presents a novel approach for solving 2D mathematical models arising in applied sciences, specifically focusing on 2-dimensional time-fractional order Klein-Gordon (TFKGE) and sine-Gordon equations (TFSGE) using the Sumudu transform-homotopy perturbation method (STHPM). The amalgamation of the Sumudu transform with the homotopy perturbation method provides an effective analytical technique for tackling these time-fractional order partial differential equations. The solutions obtained illustrate the precision and efficiency of the method, offering valuable insights for modelling complex physical systems. In this study, we also solve the same numerical problems using the variational iteration method and perform a comparative analysis of the results. This study advances the application of fractional calculus methods to challenging problems in theoretical and applied physics.
DEVELOPMENT AND EVALUATION OF A VERSATILE CONTROL SYSTEM IN AN ADAPTABLE MULTI-LEGGED ROBOT USING A MODIFIED PEAUCELLIER-LIPKIN MECHANISM
Authors: Rajesh Papatla , Rajendra Rega , Gangadhara Rao Ponugoti
Published: November 2024

The present work in bio-inspired robotics explores the design and implementation of a novel-legged robotic system featuring a modified Peaucellier-Lipkin mechanism with three control points for a single degree of freedom. The emphasis is placed on the robot’s adaptability to various walking gaits in different environments. The paper delves into the robot’s design, construction, and control system, which includes the application of PID control for enhanced stability and efficiency in mimicking biological locomotion. The primary aim is to demonstrate a robot capable of adjusting its form and function for diverse operational challenges, enhancing robotic mobility. The design also addresses repeatability issues, ensuring consistent performance across various tasks and conditions, contributing to the robot’s reliability and practical applicability in real-world scenarios.
ESTIMATION OF ONE-AND-FIVE DIMENSIONAL SURVIVAL FUNCTIONS FOR CATEGORICAL DATA USING ENTROPY
Authors: Neamah Alsaedi Hasanain Jalil
Published: November 2024

Life tables are used in many fields in demographic and health research They represent an important indicator of death in society. There are two types of life tables; complete life tables are based on the age at death based on single-age categories and are obtained using a comprehensive survey method. The second type is the abbreviated life tables which are based on the age at death of five-year age groups and are obtained by the sample survey method. In this research, the survival function was estimated for the data obtained from the Central Statistical Organization, social and Economic Survey of the Family in Iraq (IHSES II) using parametric methods (the principle of Maximizing Entropy method (POME), and maximum likelihood method (MLE)), as well as the use of A non-parametric approach, the kernel smoothing method (KS), the compared between the estimation methods using (RMSE) and (MAPE). One of the most important conclusions was the emergence of a preference for the (POME) method for the five-age groups, but in the case of the single-age groups, the (KS) method is the best.
An in-depth analysis of antimicrobial prescription quality in 10 non-university hospitals, in southwest Germany, 2021
Authors: Först Gesche , Giesen Roland , Fink Geertje , Sehlbrede Matthias , Wimmesberger Nicole , Allen Rebekka , Meyer Kerstin , Müller Sabine , Niese Hanna , Polk Sina , Reistle Barbara , Schuhmacher Carolin , von Ameln-Meyerhofer Andreas , Winter Kim , Wirth Dave , Kern Winfried V , Farin-Glattacker Erik , Rieg Siegbert ,   the ID ROLL OUT Study group
Published: November 2024

Background

Non-university hospitals are the major provider of inpatient care in Germany, serving 89% of acute care hospital beds. Although surveillance data on antimicrobial use in hospitals are widely available, data on prescription quality are rare.

Aim

We aimed to provide an in-depth analysis of antimicrobial prescribing patterns and quality in southwest German non-university hospitals.

Methods

During 2021, we performed three point prevalence surveys (PPS) in 10 non-university hospitals, representing ca 10% of hospital beds in the federal state of Baden-Württemberg (11 million inhabitants). Demographic and clinical information were collected. We assessed the overall performance of 14 validated process quality indicators (QI) covering infection diagnostics, antimicrobial therapy and documentation.

Results

Of 8,560 patients analysed, 2,861 (33%) received at least one antimicrobial. Most (2,789, 80%) antimicrobial prescriptions were for therapeutic indications. Most frequently prescribed agents were beta-lactam/beta-lactamase inhibitors (1,120, 40%) in therapeutic and cefuroxime (269, 37%) in prophylactic indications. According to the World Health Organization’s Access, Watch, Reserve classification, the Access-to-Watch ratio was 0.73. Overall adherence to QIs was low and varied substantially (27–93%), with documentation, possible streamlining and switching to oral therapy exhibiting the lowest fulfilment rates (< 50%).

Conclusion

The results indicate a need to improve antimicrobial prescribing quality in non-university hospitals. The high prevalence of antimicrobial use in our setting underlines the demand for sustainable antimicrobial stewardship programmes in this sector. Our QI-based PPS approach can be used to identify key targets for future antimicrobial stewardship interventions. The results indicate a need for further legislation on antimicrobial stewardship.
Assessment of soy leghemoglobin produced from genetically modified Komagataella phaffii, under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐NL‐2019‐162)
Authors:   EFSA Panel on Genetically Modified Organisms (GMO), Casacuberta Josep , Barro Francisco , Braeuning Albert , Cubas Pilar , de Maagd Ruud , Epstein Michelle M. , Frenzel Thomas , Gallois Jean‐Luc , Koning Frits , Messéan Antoine , Moreno F. Javier , Nogué Fabien , Savoini Giovanni , Schulman Alan H. , Tebbe Christoph , Veromann Eve , Gennaro Andrea , Gil Gonzalez Aina Belen , Gómez Ruiz José Ángel , Goumperis Tilemachos , Kagkli Dafni Maria , Lenzi Paolo , Lewandowska Aleksandra , Piffanelli Pietro , Schoonjans Reinhilde
Published: November 2024

Abstract
Genetically modified Komagataella phaffii strain MXY0541 was developed to produce soy leghemoglobin by introducing the LGB2 coding sequence encoding leghemoglobin from soybean (Glycine max). The molecular characterisation data and bioinformatic analyses do not raise any safety concerns. The safety of soy leghemoglobin as a food additive has already been assessed by the EFSA FAF Panel (EFSA‐Q‐2022‐00031). The GMO Panel does not identify safety concerns regarding the toxicity and allergenicity of soy leghemoglobin protein as expressed in K. phaffii, and finds no evidence that the genetic modification would change its overall allergenicity. The GMO Panel concludes that the LegH Prep derived from genetically modified K. phaffii strain MXY0541 is safe for human consumption with regard to the effects of the genetic modification. No environmental impact from the use of this product is expected regarding the recombinant DNA sequences possibly remaining in the product. The GMO Panel concludes that LegH Prep from genetically modified K. phaffii strain MXY0541 is safe with respect to potential effects on human health and the environment at the proposed use and use level as far as the impact of the genetic modification is concerned. The overall conclusion is that the genetic modification does not lead to safety issues.
IMPACT OF CSR IN INDIAN SOCIETY
Authors: Shaikh Mohammed Sameer
Published: November 2024

In today’s era, there is significance to CSR, provided in the society and there are some firm boundaries that have been extended. Corporate Social Responsibility is not a trend, whereas it is considered as a commerce imperative which some Indian companies are starting to consider and engaging with it in some way. The study has focused on the impact of CSR on healthcare in Indian society. The study has highlighted the top healthcare projects in India by CSR. The research study also has focused on the impact of CSR on education in Indian society. The study has also highlighted the top education projects funded in India by CSR. Study has highlighted the benefits and drawbacks of CSR (Corporate Social Responsibilities). For the study qualitative and quantitative data was used and data has been collected by questionnaire method and this research study has collected sample of 100 respondents, 100 respondents from Mumbai region only. It was observed that CSR has impacted Indian Society.
THE IMPACT OF CORPORATE SOCIAL RESPONSIBILITY ON THE COMPETITIVENESS OF SMALL SCALE INDUSTRIES
Authors: Shaikh Mohammed Sameer
Published: November 2024

Earning profits is a common phenomenon of each and every business unit in industry. The foremost goal of any company in any industry is to earn maximize returns with minimal investment in the industry. Companies in any industry have many social obligations to be fulfilled as they have drawn maximum resources from the society. Hence Corporate Social Responsibility has become the catchphrase of millennium across the entire world and the corporate world and even the government must take care of it. The study has focused on the impact of CSR on small scale industries. The study has explored the reasons that motivate small scale industries to involve in corporate social responsibility activities. The study has also highlighted the top healthcare and education projects by CSR. Study has highlighted the benefits and drawbacks of Corporate Social Responsibilities (CSR). For the study qualitative and quantitative data was used and data has been collected by questionnaire method and this research study has collected sample of 100 respondents, 100 respondents from Mumbai region only. It was observed that Corporate Social Responsibility has impact on the competitiveness of small scale industries.
ENSURING FOOD SECURITY: INDIAN KNOWLEDGE SYSTEM AND LOCAL INNOVATION
Authors: Singh Avantika
Published: November 2024

The studies of NITI Ayog (2016), which highlight a discrepancy between the nutritional situation in India and the expanding Indian economy, show how unstable the health matrix is in India. Complementing the same worry, FAO (2018) underlines in its report "The State of Food Security and Nutrition in the World" India's perilous health situation. According to the assessment, almost 15% of the Indian population is undernourished and suspiciously anaemic. Considering the substantial challenges to food security in India, it is essential to recognize the potential for mediation via small-scale interventions aimed at alleviating hunger and malnutrition by enhancing food accessibility. These customs frequently originate from our robust traditional framework rooted on the principle of trusteeship. The study contends that public policy on the provision of delivery services to the local populations should draw insights from these local innovations, which offer valuable resources for addressing governance challenges. This paper examines Anaj Bank, a locally devised plan to solve food security gaps. Offering a rapid response in contrast to centralized food systems, it describes the significant deliberate interventions of the bank that can help consumption smoothing during food-deficient lean seasons and act as a first line of defense against food security shocks.
A thesaurus in focus: A media review of https://www.thesaurus.com/
Authors: Topal Ibrahim Halil
Published: November 2024

Many applications, software, websites, and online dictionaries have been introduced thanks to the advent of computer- and mobile-assisted technologies. Recent technological advancements have resulted in more targeted apps (e.g., BoldVoice for pronunciation) or reference tools (Etymonline.com for an etymology dictionary) for language learning and practice. One such tool is Thesaurus.com, an online thesaurus freely accessible through mobile devices and computers. Given the significance of synonyms and antonyms for vocabulary learning and the problems English as a foreign language learners have with these lexical subfields, this media review evaluated the aforementioned online thesaurus. The results indicated potential pedagogical opportunities and several areas of improvement. The review concludes with suggestions for further research to corroborate the findings.
Assessment of lake Markakol’s physical and chemical condition with consideration of eutrofication
Authors:   Institute of Geography and Water Safety, Pushkin st., 99, Almaty, 050010, Kazakhstan, Madibekov Azamat , Ismukhanova Laura ,   Institute of Geography and Water Safety, Pushkin st., 99, Almaty, 050010, Kazakhstan, Zhadi Askhat ,   Institute of Geography and Water Safety, Pushkin st., 99, Almaty, 050010, Kazakhstan, Sultanbekova Botakoz ,   Institute of Geography and Water Safety, Pushkin st., 99, Almaty, 050010, Kazakhstan, Zhumatayev Serik ,   Institute of Geography and Water Safety, Pushkin st., 99, Almaty, 050010, Kazakhstan, Karimov Alibek ,   Fesenkov Astrophysical Institute, Observatory, 23, Almaty, 050020, Kazakhstan, Fokin Sergei ,   Markakol State Nature Reserve, Kurchum district, Urunhaika village, Kazakhstan
Published: November 2024

The study was conducted in 2023 and comprised a comparative assessment of the state of Lake Markakol’s aquatic ecosystems in surface and bottom water strata. The analysis of bottom water temperatures showed correlation between this parameter and dissolved oxygen concentrations, indicating that pollution caused by organic impurities leads to lake eutrophication, in turn, pro-pelling the extinction of aquatic life. Although the main water physicochemical parameters of Markakol Lake correspond to the oligotrophic type, the shifts in dissolved oxygen and phos-phate content, as well as growth of aquatic vegetation indicate its transition to the mesotrophic type. Higher phosphate content in water is a consequence of pollution disturbing the biological balance, as well as stimulating the reservoir’s eutrophication and increased biological productivity, i.e. algal bloom. In addition, phosphate ions serve an informative indicator of Hazard Class 3 (organoleptically hazardous) anthropogenic pollution. Based on the correlation factor (r), two statistical models were considered for the target lake: 1) Water Pollution: nutri-ent concentrations depending on surface and bottom water temperatures (Model 1); and 2) changes in Water Pollution Indices (biogenic, heavy metals, mean) because of air temperature growth due to global warming of 0.25°C/decade (Model 2).
A Didactic Analysis of Bayesian Statistics: Can It Be Applied to School Mathematics?
Authors:   The Korea Society Of Educational Studies In Mathematics, Tak Byungjoo , Cho Jinwoo , Han Sooyun
Published: November 2024

This study aims to explore the pedagogical significance of Bayesian statistics, which is increasingly recognized for its practical value in modern society, and to further explore avenues for its application in school mathematics. As part of the didactic analysis, the study attempts historico-genetic, mathematical, and philosophical analyses of Bayesian statistics. In addition, it examines previous studies applying Bayesian perspectives in tasks for elementary and middle school students to identify considerations for teaching Bayesian statistics in school mathematics. The results show that the core ideas of Bayesian statistics lie in the updating of probabilities by data and the consistency of belief updating rules, which follows from defining probability as a subjective measure of belief. Moreover, it is confirmed that these ideas can be informally understood at the elementary and middle school levels by visually representing changes in sample space in contexts, such as risk, which can be linked to predictions in everyday life.
Mathematical Meaning-Making of Angles among Elementary Students in a Geometry Teaching-Learning Environment Utilizing Robots: Focus on Assemblage and Gesture-Diagramming
Authors:   The Korea Society Of Educational Studies In Mathematics, Kim Youngin , Seo Yumin , Lee Kyeong-Hwa
Published: November 2024

This study was conducted to explore how elementary students form mathematical meanings for angles within a geometry learning environment utilizing robots. Employing the inclusive materialism perspective, it focused on the assemblage and students’ gesture-diagramming to analyze the process of mathematical meaning-making. The results indicate that students refined the static perspective of angles through gesture-diagramming that realizes the possible, aligned with the direction the robot was facing and formed the dynamic perspective of angles through gesture-diagramming that actualizes the virtual, aligned with the robot's total rotational movement in polygons. These findings illustrate teaching and learning cases that can form diverse perspectives on angles and highlight the potential of robots as significant semiotic resources in mathematics education.
The role of the motivational component of learning in improving the quality of education
Authors: Khabibulina M.M. , Shamilov M.D.
Published: November 2024

The article discusses the motivation of students as a guarantee of quality medical education. To improve the quality of education, it is necessary to improve the methods and forms of teaching and management of educational and cognitive activities, an integrated approach is needed, including the impact on three components: motivational, cognitive and managerial. It is extremely important to influence the motivational component of educational activity, while special attention should be paid not only to external, but also internal motives of educational activity. The ability to influence the system of personal motives and, consequently, the quality of education is an important component of pedagogical skill
About food, water and proper nutrition for nurses. Specialist’s view
Authors: Batsmanova R.A.
Published: November 2024

What is the importance of water in our lives, how to fix your diet, and what should a nurse consider doing when packing their lunch for work? We will learn the rules of making a portion plate for breakfast, lunch, and dinner according to an active lifestyle.
Histórias de Lauro Müller para Crianças
Authors: Bett Joana
Published: November 2024

Nesse livro, dividido em cinco capítulos, resolvi trazer quatro contos que usam como personagens principais animais da fauna nativa da região da Serra do Rio do Rastro. Cada conto traz uma história individual sobre um determinado momento de Lauro Müller e os capítulos seguem uma linha temporal, de forma a se complementarem.
O último capítulo utiliza também um animal local, que surge como narrador num formato de texto descritivo, tratando sobre o ECOMUSEU SERRA DORIO DO RASTRO com um desfecho mais atual e interativo. Espero que este livro, como representação da realização de um sonho, seja o primeiro de muitos livros infantis que virão, que estimule sua leitura e também a vontade de correr atrás daquilo que você mais almeja, além de conhecer um pouquinho mais sobre a história dessa terra com tanto para contar.

Joana Bett
CHALLENGES AND OPPORTUNITIES IN IMPLEMENTING WEB 3.0 STRATEGIES
Authors: Melnyk Andriy
Published: November 2024

This article examines the problems and opportunities that organisations face in implementing a Web 3.0 strategy. It explores the decentralised and transparent characteristics of Web 3.0 technologies, including blockchain, smart contracts and decentralised apps (dApps), and their future impact on business operations. Methodology. The article applies a qualitative methodology using case studies of Fortune Global 500 companies to offer practical advice on Web 3.0 adoption, the obstacles they face and recommendations for overcoming these challenges. Results. Research shows that while the adoption of Web 3.0 offers significant promise for improving operational efficiency, transparency and customer trust, significant obstacles such as regulatory uncertainty, integration costs and technological complexity still need to be overcome. Overcoming industry-specific challenges and implementing customised solutions is crucial to the effective use of Web 3.0 technologies. Practical implications. The article offers practical solutions for businesses to effectively integrate Web 3.0 technologies, which will help increase operational efficiency, strengthen trust with consumers and open up new revenue opportunities through tokenisation and decentralised finance. Value/Originality. The article offers practical solutions for businesses to effectively integrate Web 3.0 technologies, which will help increase operational efficiency, strengthen trust with consumers and open up new revenue opportunities through tokenisation and decentralised finance.
Strategic marketing and consumer perception of dried fruit brands: The role of entrepreneurs in promoting dried fruit consumption in Bangladesh
Authors: Tazina Shams  , Tahrima Arafat  , Aminul Asraf
Published: November 2024

This research focuses on developing a comprehensive marketing strategy for a new dry fruit brand in Bangladesh. Dry fruits are gaining popularity globally due to their nutritional benefits and ease of storage, but the culture around their consumption remains limited in Bangladesh. This paper investigates consumer perceptions and preferences regarding dried fruits, identifying key market opportunities and challenges. Through a blend of primary data collected from consumers and secondary data from various publications, the research analyzes market trends and proposes strategic approaches to building brand awareness, fostering consumer loyalty, and increasing market share. The study also explores how new business can address consumer confusion related to sugar-infused dried fruits and position itself as a leader in the health-conscious snack segment.
Exploring Pure Consciousness: How Oxytocin Modulates the Neurobiology of Awareness
Authors: Shingo Ueda
Published: November 2024

Pure consciousness, often described as a state of heightened awareness or transcendence beyond ordinary perception, has long intrigued philosophers, neuroscientists, and psychologists alike. Recent advances in neuroendocrinology suggest that oxytocin, a hormone traditionally associated with social bonding, empathy, and trust, may play a significant role in modulating states of pure consciousness. This review explores the intersection between oxytocin and the neurobiology of awareness, investigating how the hormone influences various neural pathways and brain structures involved in consciousness. By examining current research on oxytocin’s effects on the prefrontal cortex, amygdala, and hippocampus—regions crucial for emotional regulation, memory, and self-awareness—we propose a model where oxytocin acts as a biochemical facilitator of deeper, more connected states of consciousness. Furthermore, we explore how oxytocin's role in social bonding may extend beyond interpersonal connections, fostering a sense of unity and interconnectedness often reported in higher states of consciousness. By bridging the neurochemical, psychological, and philosophical dimensions of consciousness, this review aims to provide a comprehensive understanding of oxytocin’s potential to shape human awareness, offering new insights into both the scientific and experiential dimensions of pure consciousness.
Economic and Environmental Assessment of Ammonia as a Sustainable Fuel for Tugboat Operations at the Port of Texas
Authors: Olasupo Adeola Baiyewunmi  , Oluwaseyi Gabriel Fapo  , Damilare Samuel Oyetunde
Published: November 2024

This study assesses the feasibility of ammonia as a sustainable alternative fuel for tugboat operations in the Port of Texas, a major U.S. maritime, oil and gas hub. Tugboats, while critical to port logistics, contribute significantly to localized air pollution and greenhouse gas emissions, impacting both environmental quality and public health in surrounding communities. Given the International Maritime Organization’s (IMO) goals to reduce carbon emissions by 40% by 2030 and 70% by 2050, exploring alternative fuels has become imperative. Ammonia, a carbon-free fuel, presents both opportunities and challenges. While ammonia combustion produces no direct CO₂ emissions, making it attractive from a decarbonization standpoint, its lower energy density results in higher fuel volumes and increased operational costs compared to marine fuel oil (MFO). This paper presents a comparative analysis based on real-world data, mathematical modeling, and emission trade-offs, examining the economic implications, environmental impact, and safety concerns of adopting ammonia as a tugboat fuel. Results indicate that while ammonia could enable significant CO₂ reductions, challenges related to fuel storage, cost, and infrastructure must be addressed. The findings suggest that with appropriate policy support and investment in handling infrastructure, ammonia can become a viable fuel option for sustainable maritime operations.
Strengthening fraud prevention in small businesses: An analysis of effective accounting and auditing practices
Authors: Elisha Oloruntobi Adeboye
Published: November 2024

Fraud poses a substantial threat to small businesses, with potentially devastating consequences due to their often-limited resources and lack of sophisticated fraud prevention measures. In the absence of adequate defenses, small businesses are particularly vulnerable to financial losses, operational disruption, and reputational harm. This article examines critical accounting and auditing practices that can strengthen fraud prevention efforts, focusing on practical strategies tailored to small business environments. Research indicates that nearly 5% of annual revenue is lost to fraud worldwide, with small businesses experiencing outsized impacts. By implementing robust internal controls, conducting regular audits, and embracing technology-driven solutions, these enterprises can significantly reduce fraud risks. The paper discusses specific types of fraud, such as asset misappropriation, financial statement fraud, and corruption, all of which are prevalent in small businesses and can often go undetected without structured preventative measures. Leveraging real-time monitoring, data analytics, and employee training, businesses can establish a proactive stance against fraud while fostering a culture of transparency and ethical behavior. Drawing on insights from major fraud studies and frameworks, including the COSO model and ACFE reports, this analysis provides small business owners and stakeholders with actionable recommendations for building resilient fraud prevention systems. This study underscores that with targeted resources and awareness, small businesses can achieve a higher degree of financial integrity and stability, positioning themselves for sustainable growth and trust within their communities.
Accounting conservatism mediates the relationship between corporate governance and equity capital costs
Authors: Shuvo kumar mallik
Published: November 2024

Purpose: This study examines the effect of corporate governance as proxied by institutional and managerial ownership and profitability on the cost of equity capital, both directly and indirectly, through accounting conservatism as a mediating variable. Design/Methodology/Approach: The population of this study was manufacturing companies listed on the Indonesia Stock Exchange in 2020–2022. The sample selection was carried out using the purposive sampling method, resulting in 230 data points and then tested using multiple linear regression. Findings: Institutional ownership and profitability were revealed to have a positive influence on accounting conservatism, while managerial ownership had no influence. Profitability and accounting conservatism exerted a negative effect on the cost of equity capital. However, institutional ownership generated a positive effect, but managerial ownership did not affect the cost of equity capital. Further test results uncovered that the impact of institutional ownership and profitability on the cost of equity capital was mediated by accounting conservatism. Research limitations/Implications: This research has limitations, including the relatively low adjusted R2 value. Proxies for corporate governance from ownership and board structure should be included in future studies Originality / value: The findings of this research enrich previous research regarding the economic consequences of corporate governance, profitability, and accounting conservatism in equity markets in developing countries, especially Indonesia.
AI-driven anomaly detection in cloud computing environments
Authors: Chukwuemeka Nwachukwu  , Kehinde Durodola-Tunde  , Chukwuebuka Akwiwu-Uzoma
Published: November 2024

The rapid adoption of cloud computing has changed the way businesses manage and store data, but it has also introduced new security challenges. One of the most pressing concerns in cloud environments is the detection of anomalies, which can signal potential security breaches, system failures, or performance issues. Traditional anomaly detection methods often fall short due to the complexity, scalability, and dynamic nature of cloud infrastructures. In recent years, Artificial Intelligence (AI)-driven anomaly detection techniques, particularly those leveraging machine learning and deep learning, have shown promise in overcoming these limitations. This paper reviews AI-driven approaches to anomaly detection in cloud computing environments, exploring their applications in enhancing cloud security, optimizing performance, and ensuring efficient resource management. The paper examines the strengths of various AI techniques, including supervised and unsupervised learning, deep learning, and hybrid models, highlighting their capacity to detect complex, previously unknown anomalies. Despite their advantages, implementing AI-based systems in cloud environments presents challenges, including data quality issues, scalability concerns, and computational resource requirements. Solutions such as federated learning and model optimization techniques are explored as methods to address these challenges. Furthermore, the paper discusses future research directions, including the integration of AI-driven anomaly detection with emerging technologies like blockchain and IoT, and the potential for advancements in self-supervised learning and explainable AI (XAI). This review concludes by emphasizing the critical role of AI in securing cloud infrastructures and the promising future of anomaly detection in the cloud computing landscape.
Detecting overfitting by examining residuals in autoregressive models
Authors: Mohammed M. Elnazali  , Aisha A. Salem  , Tarek A. Elghazali
Published: November 2024

The aim of this study is to see how overfitting can be detected using non-rigorous analysis of residuals. The well-known statistical packages was used to simulate data from stationary autoregressive models with Gaussian white noise with mean 0 and variance one. In order to see the effect of realization size on our findings, the sample size 50 was used as an example of small realization and the sample size 500 was used as an example of large realization. The method of maximum likelihood was used in the fitting of autoregressive models to the simulated data which is available in the statistical package R. Interesting and promising results were obtained. Our study seems to suggest that comparing estimates with their standard errors is the only reliable criterion in spotting or detecting overfitting. To make sure that the defect in the behavior of the residuals is due only to the over, we used only the same class of models in the simulation and the fitting.
Ensuring product authenticity and traceability with blockchain in supply chains
Authors: Adedamola Sobowale  , Richard Okon  , Godwin Nzeako  , Stephane Jean Christophe Zouo  , Jeremiah Olamijuwon  , Bamidele Michael Omowole  , Amarachi Queen Olufemi-Phillips
Published: November 2024

This review paper explores the efficacy of blockchain technology in enhancing product authenticity and traceability within supply chains. With the complexity of global supply chains increasing, the risk of counterfeit products and inefficiencies in tracking origins is escalating. This paper synthesizes existing literature to outline the current landscape of blockchain applications in supply chains, focusing on the decentralized and immutable capabilities of the technology that promise to revolutionize traditional practices. The core of the review involves a comprehensive analysis of documented implementations of blockchain in various industries, assessing their impact on enhancing transparency, reducing fraud, and improving overall supply chain integrity. We critically examine case studies and existing research to identify patterns of success and common challenges faced by organizations adopting blockchain solutions. Findings highlight that blockchain technology not only supports better traceability and authentication processes but also fosters a more transparent environment for transactions, significantly deterring the proliferation of counterfeit goods. Additionally, the review points out the technological and organizational hurdles in adopting blockchain, such as the need for standardization and the resistance to change in legacy systems. The paper concludes that blockchain technology holds substantial promise for addressing critical issues in supply chain management. However, achieving its full potential requires overcoming significant adoption challenges and fostering collaborative efforts for standardization across industries. This review calls for ongoing research into scalable blockchain applications and strategic partnerships to drive the technology's integration into mainstream supply chain operations.
Risk Factors of Chronic Kidney Disease in Indonesian Patients with Diabetes Mellitus
Authors: Zahra Asy Syifa Anwari , Simanjorang Chandrayani
Published: November 2024

Chronic Kidney Disease (CKD) is a public health problem with increasing prevalence and incidence. About 1 in 3 adults with Diabetes Mellitus (DM) has CKD. This study aims to determine the risk factors for Chronic Kidney Disease in Diabetes Mellitus (CKD-DM) patients in Indonesia. A cross-sectional study was conducted with secondary data, Indonesia Basic Health Research 2018. Data analysis was carried out univariate, bivariate, and multivariate. Also, spatial analysis was carried out to map the prevalence of cases. Among 14.932 samples, the prevalence of CKD-DM in Indonesia was 1.8%. Multivariate analysis results found that gender (aPR=3.24; 95%CI 3.182-3.306), every day smoker (aPR: 2.47; 95%CI 2.415 – 2.535), someday smoker (aPR=1.93; 95%CI 1.875 – 1.987), hypertension (aPR=1.56; 95%CI 1.540 – 1.591), pre elderly (aPR=1.13 95%CI 1.098 – 1.158), elderly (aPR=0.81; 95%CI 0.790 – 0.834), exercise (aPR =1.07; 95%CI 1.055 – 1.090), and obesity (aPR=0.90; 95%CI 0.891 – 0.924) have a significant relationship with the incidence of CKD-DM in Indonesia. This study found that gender is the dominant variable in the incidence of CKD-DM in Indonesia. It is desired that healthcare providers and program makers should recognize gender differences in the progression of CKD and conduct screening program for risk factors of CKD-DM.
Growth performance of white seabass (Lates calcarifer) cultivated using recirculation aquaculture system (RAS)
Authors: Sahusilawane Helena Afia , Metungun Jacomina , Fitrinawati Henny , Kilmanun Juliana Ester
Published: November 2024

White seabass (Lates calcarifer) is classified as a fishery commodity that has a high selling value with an easy cultivation method. However, water quality is an obstacle in the fish cultivation process. Therefore, it is necessary to implement an appropriate cultivation system, including a recirculation aquaculture system (RAS).  RAS is reuse of water that has been used through a filter so that fish with high growth and survival are obtained. The aim of the research was to analyze the growth performance of white seabass cultivated with RAS. The research was conducted at the Mariculture Laboratory of the Aquaculture Technology Study Program, Tual State Polytechnic of Fisheries in June to August 2024. The research was used a descriptive type with initial length measurements (4 and 5 cm) and was repeated 3 times. A total of 10 fish were kept in a hapa in a rearing tank and equipped with RAS using sand and charcoal filters. Growth performance were measured included body length, body weight, growth rate, and survival rate. The research results show that the RAS system determines the growth performance of white seabass. This is evidenced by the increasing average increase in length and body weight. At an initial length of 4 cm, the average increase was 6.5 cm and 4.25 g, while at an initial length of 5 cm it was 8.3 cm and 6.5 g. The average survival rate was 75% at an initial fish size of 4 cm and 86% at an initial fish size of 5 cm. Thus, the RAS system can be applied in white seabass cultivation.