bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Machining Parameters on Micro-Burrs Formation of Aluminium Puncher using High-Speed Machining Process
Authors: Mohd Saifuldin Mohd Mokhtar  , Ahmad Razlan Yusoff  , M. Sobron Yamin Lubis
Published: April 2024

Micro-burrs are small protrusions or imperfections that can form on the surface of a machined part during the machining process, which may lead to reduced product quality, decreased performance, and increased wear and tear. The formation of micro-burrs on the puncher can adversely affect the accuracy and surface finish of replicated microchannel parts in secondary processes like hot embossing. The objective of this study is to investigate the effect of machining parameters on micro-burr formation in the Y-type Al6061-T6 microchannel puncher. The machining parameters include spindle speed, feed rate, and depth of cut in twenty experimental works designed using the Central Composite Design (CCD) approach for machining with uncoated solid carbide end milling tools. Results indicate that the top micro-burr formation in the Y-type Al6061-T6 microchannel puncher is significantly influenced by feed rates compared to spindle speed and depth of cut. The minimum burr width occurs at a feed rate of 30 mm/min, while maximum burr values are observed at 150 mm/min. The best parameter combination identified in this study is a spindle speed of 14000 r/min, a feed rate of 90 mm/min, and a moderate depth of cut of 50 μm. This knowledge can be applied to selecting appropriate cutting parameters when planning microchannel puncher fabrication using a high-speed machining process to achieve precision and minimize burr formation.
Cure Behaviour and Tensile Properties of Pineapple Leaf Fibre Reinforced Natural Rubber Composites
Authors: Yeo Yi Xuan  , Mohd Ridzuan Mohd Jamir  , Mohd Shukry Abdul Majid  , Mohd Shihabudin Ismail  , Ferriawan Yudhanto  , Normahira Mamat  , Fauziah Mat
Published: April 2024

Short natural fibres replace synthetic fibres as filler in natural rubber (NR) as they are environmentally beneficial and sustainable. This study investigates the cure behaviour and tensile properties of pineapple leaf fibre (PALF) reinforced NR composites at various fibre contents. The fibre contents are varied at 0, 10, 20 and 30 parts per hundred rubber (phr). PALF reinforced NR composites are prepared using a two-roll mill. Surface morphology of tensile fractured specimens is examined using scanning electron microscopy (SEM). The results demonstrated that the optimum cure time decreases significantly with greater fibre content. The hardness value increases gradually with increasing filler content. The stress-strain graphs show an increasing trend in stress at higher fibre content particularly at low strain regions. On the contrary, the tensile strength reduces when the fibre content is increased up to 30 phr. SEM analysis reveals that the fibre-matrix adhesion is considerably poor due to the fibre pullout phenomenon observed. It is indicated that higher fibre content could be possibly reinforced to NR to achieve high deformation stress at incredibly low strain regions.
Engineering Properties of Cement-Paste with Polypropylene and Carbon Fibres
Authors: Anand Ryan Thurairajah  , Ahmad Nurfaidhi Rizalman  , Eliezer Nevall Anthony  , McRoyce Donovan Dagul  , Rosalam Sarbatly
Published: April 2024

Concrete has strong compressive strength, but it is brittle and vulnerable to tension-induced failure. To address the issue, this research investigated the effect of the addition of fibre on the engineering properties of cement paste. There were two fibres examined in this study, which include polypropylene fibre (PF) and carbon fibre (CF). The engineering properties that were studied include flowability, hardened density, compressive strength, and flexural strength at 7, 28, and 56 days. The results indicated that the addition of fibre had only subtle effects on workability, attributed to a judiciously chosen low-volume fraction of fibres. Notably, a consistent increase in hardened density, compressive strength, and flexural strength was observed over the curing period, driven by ongoing hydration processes. Therefore, it can be concluded that the incorporation of PF and CF significantly improved cement paste engineering properties, outperforming the control specimen in hardened density, compressive strength, and flexural strength.
On Edge Crowd Traffic Counting System using Deep Learning on Jetson Nano for Smart Retail Environment
Authors: Muhammad Hafizuddin Mohd Razif  , Ahmad Puad Ismail  , Syahrul Afzal Che Abdullah  , Mohd Affandi Shafie  , Iza Sazanita Isa  , Siti Noraini Sulaiman  , Zainal Hisham Che Soh
Published: March 2024

Most supermarket don’t have a crowd traffic counting systems to track and counting customer entering their shop lot. In practise, these methods are useful for businesses in managing customer flow and optimize staffing and marketing efforts. Furthermore, the information can be used to estimate the popularity of the shop with relation to people entering the shop lot. The information also useful for the shop owner in determining the renting value. Therefore, the paper presents a system for tracking and counting people in a retail store using on the edge device, a Jetson Nano board. The comparison of the performance of two algorithms for people detecting of YOLOv5 and MobileNet-SSD are used in this work, YOLOv5 is a state-of-the-art object detection model that is known for its accuracy, but it is computationally intensive and may not be suitable for running on resource-constrained devices such as the Jetson Nano. MobileNet-SSD is a lightweight object detection model that is designed to run efficiently on mobile devices and embedded systems. Next is to track people using SORT, SORT is a real-time multi-object tracking algorithm that is based on the Kalman filter and the Hungarian algorithm. The results show that YOLOv5 was able to achieve the highest accuracy in detecting and counting people, but it was slower than the other two algorithms. MobileNet-SSD was the fastest algorithm, but it had lower accuracy compared to YOLOv5. In conclusion, the choice of algorithm will depend on the trade-off between accuracy and computational resources, and SORT is a good option for real-time people counting on resource-constrained devices.
The Role of Silica Nanofluid as a Plugging Agent for Enhanced Oil Recovery – Experimental Approach
Authors: Al Muhannad Al Omairi  , Girma Tadesse Chala
Published: April 2024

Many enhanced oil recovery techniques have been adopted in oil production to recover as much oil as possible. However, enhanced oil recovery techniques are complex and costly. Therefore, nanofluids have been modified in the laboratory to be consistent with reservoir fluids and rocks while also being environmentally benign. This study aims to investigate the role of silica nanofluid in plugging the high permeable zones after oil is recovered from the reservoir to divert pressure to the low permeable zone for enhanced oil production from the low permeable zones. A digital gas permeameter (DGP-300-B) was used to determine the permeability of the core by injecting nitrogen gas. In addition, a DHP-100-M Digital Helium Porosimeter was used to determine bulk volume, grain volume, and grain density porosity. The experiment was conducted with different percentages of silicon dioxide nanoparticles to observe the effect of plugging in each stage. Results show that a 52% reduction in core permeability was observed when using 0.5wt.% of silica nanoparticles, a 72% reduction in core permeability when using 1wt.% of silica nanoparticles and a 94% reduction in core permeability when using 2wt.% of silica nanoparticles.
Pensar a metrópole : trajetórias, transições e controvérsias
Authors: Costa Marco Aurélio
Published: April 2024

No texto, é feita uma breve recapitulação da evolução das Regiões Metropolitanas (RMs) e são destacadas características importantes de diferentes fases desse desenvolvimento. Em seguida, são exploradas as transições, especialmente as mudanças climáticas e a transformação digital, que ampliam e requalificam problemas estruturais e a exclusão no urbanismo brasileiro e nas áreas metropolitanas. Por fim, diante das incertezas sobre o futuro das RMs no país, são apresentadas algumas controvérsias para ajudar na elaboração de soluções e estratégias que possam transformar os desafios desse período de transições em oportunidades para promover uma agenda de reforma urbana e metropolitana, visando a redução das desigualdades socioespaciais nas RMs brasileiras.
A Emergência da questão metropolitana : introdução da metrópole no planejamento urbano brasileiro
Authors: Ferreira Junior Carlos Henrique Carvalho , Funari Armando Palermo
Published: April 2024

O capítulo aborda a rápida urbanização brasileira entre as décadas de 1930 e 1970, com ênfase nas capitais como Rio de Janeiro e São Paulo, que se tornaram metrópoles com mais de 5 milhões de habitantes, ampliando o conceito de metrópole. O Instituto Brasileiro de Geografia e Estatística (IBGE) e outras instituições foram fundamentais para identificar e nomear a questão urbana metropolitana, impulsionando a necessidade de políticas públicas específicas para lidar com os desafios metropolitanos. O capítulo está dividido em cinco seções, iniciando com a criação do IBGE e outras entidades dedicadas à análise de dados, seguido pelo crescimento econômico e populacional das capitais, o surgimento da questão metropolitana, as proposições para tratá-la como política pública e estratégia de desenvolvimento urbano, e finalmente, elementos que uma nova política nacional de desenvolvimento urbano pode recuperar dessa experiência pregressa, considerando as instituições democráticas e as relações interfederativas.
Impacto das ações do BNDES sobre emprego e produtividade da economia
Authors: Morais Rafael , De Negri João Alberto , Mattos Ludmilla
Published: April 2024

O Banco Nacional de Desenvolvimento Econômico e Social (BNDES) tem como principal objetivo o financiamento de longo prazo e investimento em todos os segmentos da economia brasileira. É através do BNDES que os recursos do Fundo de Amparo ao Trabalhador (FAT) Constitucional são distribuídos na sociedade em projetos de fomento ao desenvolvimento, visando gerar e manter empregos conforme o objetivo do fundo determinado na Constituição.
Navigating the Clinical Landscape of Severe Acute Malnutrition in India’s Pediatric Demographic
Authors: Nazir Parol Nazaf , Padman Sachin , Reddy I. Venugopal
Published: March 2024

Background: The consequences of malnutrition are increases in childhood death and future adult disability, including diet-related non-communicable diseases (NCDs), as well as enormous economic and human capital costs. According to UNICEF, one in three malnourished children in the world is Indian. It is estimated that reducing malnutrition could add some 3% to India’s GDP.4 Combating child malnutrition is of great public health importance to the future economic development and social well-being of countries, but there is very minimal information on the clinical profile and outcome of SAM.  Objectives: To study the Clinical Profile and Outcome of Severe Acute Malnutrition in children aged between 6 and 59 months.  Methodology: An Observational hospital-based time bound study includes 60 children of 6 to 59 months age satisfying inclusion criteria admitted in BCHI and Chigateri District Hospital. The children were classified according to WHO guidelines and managed according to standard WHO case management protocol and re-evaluation were done on a daily basis during the course of hospital stay. The outcome was assessed in term of improvement, number of days of hospitalization, residual problems at discharges, left against medical advice and number of deaths.  Results: Nearly all the subjects presented with visible wasting with eight for age <-3SD and MUAC, 11.5 cm. Half of the study population had incomplete immunization. Acute GE and ARI, anemia were the most common comorbidities and severe dehydration was the most complication seen. Majority i.e., 75 (75.8%) were discharged with target weight, 20 (20.2%) were discharged without reaching target weight and 4 (4%) were defaulters.  Interpretation & Conclusion: The study concluded that effective community-based program for early detection and treatment, most children with SAM can be cared for by their mothers and families at home while NRCs are reserved for children with SAM and medical complications.
A Smart Academic Advisor Model for Undergraduate Students
Authors: Saied El-Sayed Amer Mohamed
Published: March 2024

The undergraduate enrollment rate is rapidly increasing. Many students want advice on their journey to graduation. The students are unfamiliar with the major sheets and academic timetable of the university where they have enrolled. Thus, a model that handles the advising process for students who are unclear about how to choose their courses must be designed. This study provides a model for an academic adviser who may help students navigate their university experience. The model recommends a list of courses to the student depending on his current study level and categorizes the major sheet's courses by difficulty, which varies from easy to challenging based on previous exam results. Lastly, with so many students, the suggested model can assist in automating the advising process without requiring a lot of work.
Machine Learning-Based Predictive Analysis on Electronic Billing Machines to Value Added Tax Revenues Growth
Authors: Mazimpaka Patrick , Michael Sanja
Published: March 2024

This paper explores the application of predictive analysis in assessing the impact of Electronic Billing Machines (EBMs) on Value Added Tax (VAT) revenue growth in Rwanda. EBMs represent a significant innovation in VAT revenue collection, yet negative taxpayer perceptions and a lack of understanding impede their full potential. Without predictive analysis, accurately projecting the growth in VAT revenues due to EBM implementation remains a challenge for the Rwanda Revenue Authority. Using machine learning techniques and historical data obtained from Rwanda Revenue Authority Annual reports, this research aims to develop a predictive system capable of forecasting the influence of EBMs on VAT revenue growth. Employing a descriptive survey design approach, secondary data analysis was conducted to gather information on VAT taxpayers, EBM users, VAT revenues, and other relevant variables. The study reveals a notable increase in EBM adoption among VAT payers over a six-year period, indicating successful governmental efforts. Time series analysis demonstrates a positive correlation between EBM usage and significant increases in both VAT and total tax revenues. The Seasonal Autoregressive Integrated Moving Average (SARIMA) model, specifically an ARIMA (1, 0, 0) model, is identified as suitable for forecasting VAT revenue growth due to its balance between accuracy and simplicity. The developed predictive system provides highly accurate forecasts of VAT revenue growth, facilitating informed fiscal policymaking and enhancing financial stability and revenue collection in Rwanda.
Development of an Arduino-Integrated Wireless Inter-Vehicle Communication Infrastructure for Enhanced Traffic Safety and Efficiency
Authors: Venugopalan K Vishnu , V Abhijit
Published: March 2024

This project addresses the escalating challenges of road traffic management by proposing a sophisticated vehicle-to-vehicle (V2V) communication system based on Arduino technology. The growing congestion and safety concerns demand innovative solutions to facilitate real-time information exchange among vehicles. Our objective is to design and implement a robust V2V communication infrastructure utilizing Arduino microcontrollers and wireless modules. By establishing seamless communication channels between vehicles, we aim to enhance road safety, optimize traffic flow, and reduce accidents. This abstract outlines the problem statement of inadequate communication systems in current traffic management and presents our proposed solution to mitigate these issues through Arduino-enabled V2V communication.
Master Card and Visa Fraud Detection Using Random Forest Algorithm
Authors: Sree L.Vindhya , Nandini M. Geetha , Lakshmi N. Sree , Vasarao P. Srinu
Published: March 2024

Extortion is a with determination ambiguous activity projected to give the criminal an illegal increase or to deny a right to a victim. Extortion take in the misleading depiction of realities, whether by deliberately keeping considerable data or giving fake proclamations to one more party for the particular reason for acquire something that might not have been given without the double dealing. Frequently, the offender of extortion knows about data that the expected victim isn't, permitting the perpetrator to delude the person in enquiry. On a primary level, the being or association committing misrepresentation is exploiting data irregularity; in particular, the asset cost of checking on and confirming that data can be adequately huge to make a deterrent to put capital into misrepresentation counteraction completely. we take the one of the extortion i.e Mastercard misrepresentation. Mastercard extortion is a inclusive terms for caricature committed utilizing an installment card, for example, a Visa or charge card. The reason might be to get labor and products or to make installment to another record, which is constrained by a crook. The Installment Card Industry Information Security Standard (PCI DSS) is the information security standard made to assist monetary establishments with handling card installments safely and diminish card extortion. For Mastercard misrepresentation recognition we are utilizing the machine inclining models of calculated relapse, arbitrary woodland, and choice trees are assessed for recognizing fake Visa exchanges. Irregular backwoods is the most appropriate model for anticipating fake exchanges. Adjusting a dataset guarantees that the model doesn't incline toward the larger part class exclusively.
Green Warehouses: The Benefits, Challenges and Strategies of Industrial Building Decarbonization
Authors: Korra Chaitanya , Sadhana V. Akshita
Published: March 2024

As urban areas expand and e-commerce continues its upward trajectory, the environmental impact of industrial spaces, especially warehouses, has garnered focused attention. This study explores the imperative to tackle significant carbon emissions from these key components of global logistics and distribution chains. The process of making industrial warehouses more eco-friendly is identified as a vital step towards reducing the effects of climate change, improving energy utilization, and advancing eco-friendly industrial methods. The paper thoroughly investigates the advantages of adopting green initiatives for warehouses, such as diminished ecological footprints, energy conservation, and adherence to dynamic regulatory demands. It also addresses the obstacles in this journey, including the economic implications of adopting sustainable technologies, challenges posed by existing infrastructure and laws, and the necessity for cooperation among all parties involved. The document concludes by proposing actionable strategies and practices for decarbonizing industrial warehouse facilities, underscoring the importance of cutting-edge technologies, supportive policies, and eco-conscious design approaches in leading the industrial sector towards environmental stewardship. This exploration seeks to enrich discussions on sustainable city development and the essential role that reducing industrial carbon footprints plays in the broader climate action agenda.
Investigation of Life Satisfaction Levels in Adults in Terms of Some Variables: North Cyprus Example
Authors: ALICI Bedriye , KILIÇ Mehmet Yaşar , ÇOBAN Gizem Sebahat
Published: April 2024

Life satisfaction, which reflects an individual's level of satisfaction with life, their psychological well-being, and their sense of happiness, represents the cognitive dimension of subjective well-being. Life satisfaction entails a cognitive process that involves subjective evaluations of one's own life. Well-being, a concept that guides the policies of nations, has been the subject of extensive research as a holistic concept encompassing life satisfaction. Understanding and examining the life satisfaction of Turkish Cypriots are important for enhancing individuals' quality of life, providing psychological support, and advancing societies toward a healthier and happier future. This study aims to investigate the levels of life satisfaction among Turkish Cypriot adults in relation to select variables and metaphorical perceptions. The data were collected from 191 volunteers through a simple random sampling method. Content analysis was performed on the responses to open-ended questions about life satisfaction. The results indicated that participants' life satisfaction levels were moderate (M=4.77, SD=.81). The participants generated 62 metaphors to describe life satisfaction, with the most commonly used metaphor being "happiness." Additional findings from the study are presented in the results section. The results of this study are discussed within the context of relevant literature in the discussion section.
A New Tidal Stream Discovered in Gaia DR3
Authors: Tian Hao , Liu Chao , Luo Changqing , Xue Xiang-Xiang , Yang Yujiao
Published: April 2024

Thanks to the precise astrometric measurements of proper motions by the Gaia mission, a new tidal stellar stream has been discovered in the northern hemisphere. The distribution of star count shows that the stream is approximately 80° long and 1.°70 wide. Observations of 21 member stars, including 14 RR Lyrae stars, indicate that the stream has an eccentric and retrograde orbit with e = 0.58. The low metallicity, high total energy, and large angular momentum suggest that it is associated with the merging event Sequoia. This discovery suggests the possibility of finding more substructures with high eccentricity orbits, even in the inner halo.
COMAP Early Science. VIII. A Joint Stacking Analysis with eBOSS Quasars
Authors: Dunne Delaney A. , Cleary Kieran A. , Breysse Patrick C. , Chung Dongwoo T. , Ihle Håvard T. , Bond J. Richard , Eriksen Hans Kristian , Gundersen Joshua Ott , Keating Laura C. , Kim Junhan , Lunde Jonas Gahr Sturtzel , Murray Norman , Padmanabhan Hamsa , Philip Liju , Stutzer Nils-Ole , Tolgay Doğa , Wehus Ingunn Katherine , Church Sarah E. , Gaier Todd , Harris Andrew I. , Hobbs Richard , Lamb James W. , Lawrence Charles R. , Readhead Anthony C. S. , Woody David P.
Published: April 2024

We present a new upper limit on the cosmic molecular gas density at z = 2.4–3.4 obtained using the first year of observations from the CO Mapping Array Project (COMAP). COMAP data cubes are stacked on the 3D positions of 243 quasars selected from the Extended Baryon Oscillation Spectroscopic Survey (eBOSS) catalog, yielding a 95% upper limit for flux from CO(1–0) line emission of 0.129 Jy km s−1. Depending on the balance of the emission between the quasar host and its environment, this value can be interpreted as an average CO line luminosity

L

CO

′

of eBOSS quasars of ≤1.26 × 1011 K km pc2 s−1, or an average molecular gas density

ρ

H

2

in regions of the Universe containing a quasar of ≤1.52 × 108
M
⊙ cMpc−3. The

L

CO

′

upper limit falls among CO line luminosities obtained from individually targeted quasars in the COMAP redshift range, and the

ρ

H

2

value is comparable to upper limits obtained from other line intensity mapping (LIM) surveys and their joint analyses. Further, we forecast the values obtainable with the COMAP/eBOSS stack after the full 5 yr COMAP Pathfinder survey. We predict that a detection is probable with this method, depending on the CO properties of the quasar sample. Based on the achieved sensitivity, we believe that this technique of stacking LIM data on the positions of traditional galaxy or quasar catalogs is extremely promising, both as a technique for investigating large galaxy catalogs efficiently at high redshift and as a technique for bolstering the sensitivity of LIM experiments, even with a fraction of their total expected survey data.
Double Power-law Formation by Sequential Particle Acceleration
Authors: Guidoni S. E. , DeVore C. R. , Karpen J. T. , Alaoui M.
Published: April 2024

Spectral double power laws are common in solar high-energy phenomena such as flares and interplanetary energetic-electron events. However, the physical mechanism that produces the changes in power-law index within a single spectrum is unclear. We developed a fully analytical method of forming single power-law spectra from sequential acceleration of particles orbiting inside and hopping between simulated large-scale magnetic islands formed by flare reconnection. Here, we extend the analytical method to the formation of double power-law spectra by assuming sequential acceleration in two successive regions with different acceleration and particle-transport rates. The resulting spectral distribution is continuous and smooth, with a flattening at low energies, two power-law regions at mid-energies, and a steep rollover at high energies. The model provides analytical expressions for the spectral indices, all energy breaks, and normalization constants as functions of just three physical parameters of each acceleration region: (1) the energy gain in each accelerator, (2) the percentage of particles transferred between accelerators, and (3) the number of accelerators visited. One of the most salient predictions of our work is that the spectral index at high (low) energies is determined by the parameters of the first “seed” (second) acceleration region. By constructing the spectral distribution through an iterative analytical process, the evolution toward a double power law is easily characterized and explained. Our analytical model provides tools to interpret space- and ground-based observations from RHESSI, FOXSI, NuSTAR, Solar Orbiter/STIX, EOVSA, and future high-energy missions.
A Study of the Merging Dwarf Galaxy VCC322
Authors: Zhang Lan-Yue , Zhao Yinghe , Zhang Hong-Xin
Published: April 2024

Galaxy interactions and mergers can enhance or reduce star formation, but a complete understanding of the involved processes is still lacking. The effect of dwarf galaxy mergers is even less clear than their massive counterpart. We present a study on a dwarf merger remnant in the Virgo cluster, VCC322, which might form a triple system with VCC334 and VCC319. We identify a prominent long and straight tail-like substructure that has a size comparable to its host galaxy VCC322. By comparing the color–color (g − r versus r − H) distribution with simple stellar population models, we infer that the metallicity and stellar age of this tail are Z
⋆ ∼ 0.02 Z
⊙ and t
⋆ ∼ 10 Gyr, respectively. In VCC319, we find a sign of isophotal twisting. This suggests that VCC319 may be subject to tidal interaction. An analysis of the Sloan Digital Sky Survey optical spectra of VCC322 indicates mass- and light-weighted ages of about 109.8 yr and 107.5 yr, respectively, indicating an ongoing star formation activity. However, the star formation in VCC322 seems suppressed when compared to other star-forming dwarfs of comparable stellar masses. Our finding of shock excitation of optical emission lines indicates that interaction-induced shock may contribute to the heating of cold gas and suppression of star formation.
Rotational Study of 5:3 and 7:4 Resonant Objects within the Main Classical Trans-Neptunian Belt
Authors: Thirouin Audrey , Sheppard Scott S.
Published: April 2024

The 5:3 and 7:4 mean motion resonances of Neptune are at 42.3 and 43.7 au, respectively, and overlap with objects in the classical trans-Neptunian belt (Kuiper Belt). We report the complete/partial lightcurves of 13 and 14 trans-Neptunian objects (TNOs) in the 5:3 and 7:4 resonances, respectively. We report a most likely contact binary in the 7:4 resonance, 2013 FR28, with a periodicity of 13.97 ± 0.04 hr and a lightcurve amplitude of 0.94 ± 0.02 mag. With a V-/U-shaped lightcurve, 2013 FR28 has one of the largest well-sampled TNO amplitudes observed with ground-based observations, comparable to the well-determined contact binary 2001 QG298. 2013 FR28 has a mass ratio q ∼ 1 with a density ρ ∼ 1 g cm−3. We find several objects with large amplitudes and classify 2004 SC60, 2006 CJ69, and 2013 BN82 as likely contact binaries and 2001 QF331, 2003 YW179, and 2015 FP345 as likely elongated objects. We observe the 17:9 resonant or classical object 2003 SP317 that we classify as a likely contact binary. A lower estimate of 10%–50% and 20%–55% for the fraction of (nearly) equal-sized contact binaries is calculated in the 5:3 and 7:4 resonances, respectively. Surface colors of 2004 SC60, 2013 BN82, 2014 OL394, and 2015 FP345 have been obtained. Including these colors with ones from the literature reveals that elongated objects and contact binaries share the same ultrared surface color, except Manwë–Thorondor and 2004 SC60. Not only are the colors of the 7:4 and 5:3 TNOs similar to the cold classicals, but we demonstrate that the rotational properties of the 5:3 and 7:4 resonants are similar to those of the cold classicals, inferring a clear link between these subpopulations.
Effects of riboflavin on hyperalgesia and serum glutamine-to-glutamate ratio in rats with painful diabetic neuropathy
Authors: Hristov Milen , Sabit Zafer , Kirilov Tsvetomir , Bakalov Dimitar , Tzoneva Rumiana , Apostolova Sonia , Georgieva Irina , Andreeva-Gateva Pavlina
Published: April 2024

Previous studies have explored the antinociceptive effects of riboflavin (vitamin B2) across various experimental models. However, there remains a gap in the literature regarding its potential to alleviate neuropathic pain in diabetes. This study aims to investigate the effects of riboflavin on hyperalgesia and serum glutamine-to-glutamate ratio in rats with painful diabetic neuropathy. In fasted rats, a model of painful diabetic neuropathy was induced through intraperitoneal injection of streptozotocin. In the fifth week post-injection, diabetic rats experiencing neuropathic pain were administered daily doses of riboflavin (25 or 50 mg), dissolved in their drinking water, for a duration of two weeks. Results demonstrate that riboflavin significantly reduced mechanical and cold-induced hyperalgesia in diabetic rats compared to controls. Formalin-induced hyperalgesia was alleviated by riboflavin in the second phase. Additionally, riboflavin supplementation increased the serum glutamine-to-glutamate ratio in these animals. These findings highlight the therapeutic potential of riboflavin in managing neuropathic pain associated with diabetes.
The explicit formula and parity for some generalized Euler functions
Authors: Yang Shichun , Liao Qunying , Du Shan , Wang Huili
Published: April 2024

Utilizing elementary methods and techniques, the explicit formula for the generalized Euler function $ \varphi_{e}(n)(e = 8, 12) $ has been developed. Additionally, a sufficient and necessary condition for $ \varphi_{8}(n) $ or $ \varphi_{12}(n) $ to be odd has been obtained, respectively.
Geometry of tubular surfaces and their focal surfaces in Euclidean 3-space
Authors: Khalifa Saad M. , Yüksel Nural , Oğraş Nurdan , Alghamdi Fatemah , Abdel-Salam A. A.
Published: April 2024

In this study, we examined the focal surfaces of tubular surfaces in Euclidean 3-space $ E^{3} $. We achieved some significant results for these surfaces in accordance with the modified orthogonal frame. Additionally, we proposed a few geometric invariants that illustrated the geometric characteristics of these surfaces, such as flat, minimal, Weingarten, and linear-Weingarten surfaces, using the traditional methods of differential geometry. Additionally, the asymptotic and geodesic curves of these surfaces have been researched. At last, we presented an example as an instance of use to validate our theoretical findings.
A brief review on stability investigations of numerical methods for systems of stochastic differential equations
Authors: Schurz Henri
Published: April 2024

A modest review on stability investigations of numerical methods for systems of Itô-interpreted stochastic differential equations (SDEs) driven by $ m $-dimensional Wiener processes $ W = (W^1, W^2, ..., W^m) $ is presented in $ \mathbb{R}^d $. Since the problem of relevance of 1D test equations for multidimensional numerical methods has not completely been solved so far, we suggest to use the Krein-Perron-Frobenius theory of positive operators on positive cones of $ \mathbb{R}^{d \times d} $, instead of classic stability functions with values in $ \mathbb{C}^1 $, which is only relevant for the very restricted case of "simultaneously diagonalizable" SDEs. Our main focus is put on the concept of asymptotic mean square and almost sure (a.s.) stability for systems with state-dependent noise (multiplicative case), and the concept of exact preservation of asymptotic probabilistic quantities for systems with state-independent noise (additive case). The asymptotic exactness of midpoint methods with any equidistant step size $ h $ is worked out in order to underline their superiority within the class of all drift-implicit, classic theta methods for multidimensional, bilinear systems of SDEs. Balanced implicit methods with appropriate weights can also provide a.s. exact, asymptotically stable numerical methods for pure diffusions. The review on numerical stability is based on "major breakthroughs" of research for systems of SDEs over the last 35 years, with emphasis on applicability to all dimensions $ d \ge 1 $.
La controverse en vallées vaudoises : débats savants ou lutte antiprotestante ?
Authors: Krumenacker Yves
Published: March 2024

Si les controverses dans les vallées vaudoises sont très nombreuses, elles ont laissé peu de traces : elles n’ont qu’assez rarement donné lieu à la publication de comptes rendus et beaucoup semblent plus proches des empoignades que des débats savants. C’est donc une autre image des controverses que nous offre cette région généralement peu étudiée dans ses liens avec le royaume de France. Si elles ont peu d’intérêt théologique, ces controverses sont comme des armes légères parmi d’autres d’une guerre civile qui ne s’est pas vraiment arrêtée tout au long du XVIIe siècle et qui sont donc occultées par des mécanismes de coercition plus efficaces. Si les protestants français jouissent d’une certaine sécurité pendant les deux premiers tiers du XVIIe siècle grâce à l’édit de Nantes qui peut favoriser la tenue de controverses encadrées, ceux du Piémont subissent plusieurs décrets d’expulsion, de terribles massacres ont lieu en 1655 et en 1686, le protestantisme est interdit en Savoie, comme il l’est en France depuis l’édit de Fontainebleau. Dans ce contexte de guerre, de volonté de supprimer le culte réformé dès que l’opportunité se présente, les disputes s’apparentent la plupart du temps non à de vrais débats, mais à des agressions et des provocations, ce qui peut expliquer que les ministres protestants hésitent à répondre, et encore plus à publier leurs réponses, sauf s’ils estiment qu’ils doivent riposter à des calomnies ou à des bulletins mensongers de victoires catholiques. S’ils sont quelques-uns à écrire des livres contre les catholiques, ce n’est qu’assez rarement et dans le cadre de controverses en bonne et due forme. Ces cas s’accompagnent d’autres pratiques d’écriture destinées, elles aussi à conforter les vaudois dans l’assurance qu’ils représentent la vraie Église. C’est ainsi qu’un grand nombre d’histoires des vaudois sont publiées qui, toutes, montrent leur origine apostolique et le maintien d’un christianisme pur dans les vallées : outre celles de Perrin, Gilles et Léger, abondamment utilisées dans cet article, il faut ajouter l’Histoire de la glorieuse rentrée des Vaudois dans leurs vallées d’Henri Arnaud (1710), ainsi que plusieurs écrits anonymes portant sur des épisodes précis, généralement des massacres.
Percepção e imaginação na estética sartriana
Authors: Quintiliano Pereira Deise
Published: April 2024

A percepção é a maneira como interagimos com o mundo exterior. É a nossa capacidade de receber informações sensoriais do ambiente, como ver, ouvir, tocar e cheirar. Através da percepção, experimentamos o mundo e seus objetos como eles são em sua materialidade. A imaginação, por outro lado, é a capacidade de criar representações mentais e de ir além das informações sensoriais diretas, nos permitindo conceber o que não está presente, recriar o passado, ou até mesmo antecipar o futuro. Baseados na interpretação sartriana segundo a qual há uma tensão dinâmica entre percepção e imaginação, nosso objetivo é problematizar a distinção rígida entre esses dois conceitos, reconhecendo que essa dinâmica desempenha um papel central em nossa experiência existencial e que a relação entre esses dois elementos não é dicotômica, mas sim uma interação constante que enriquece nossa compreensão do mundo e de nossa própria existência.
Convergence Strategies for Green Computing and Sustainable Development
Authors: Saxena Arti , Gupta Kapil , Pala Sasmita
Published: April 2024

This chapter outlines the journey that intertwines solar energy and artificial intelligence (AI), focusing on optimizing solar energy generation within India's dynamic landscape. Solar energy is abundant—its variability demands creative solutions to turn unpredictability into efficiency. In this context, as technology advances, AI emerges as a valuable tool capable of understanding complex weather patterns, forecasting energy generation, and dynamically adjusting solar panel setups. This study navigates the synergy between AI and solar energy in India. Each section sheds light on different aspects of AI's transformative potential, detailing methods, applications, and concrete results. As the chapter unravels the intricate connection between these two domains, it not only uncovers a more intelligent approach to energy generation, but also catches a glimpse of a future where renewable resources thrive in harmony with technological innovation.
Green Technologies, Reducing Carbon Footprints, and Maximizing Energy Efficiency With Emerging Innovations
Authors: Pitchai R. , Tiwari Suresh , Viji C. , Kistan A. , Puviarasi R , Gokul S.
Published: April 2024

This chapter explores the complex issue of sustainable computing, focusing on its environmental implications. It outlines the principles of green computing, the carbon footprint associated with technology, and the role of data centers in minimizing it. The chapter also highlights the importance of energy efficiency in computing, highlighting the growing energy consumption in IT and outlines strategies for achieving it. It also discusses the role of emerging technologies like renewable energy, IoT, smart grids, quantum computing, and sustainable algorithms in promoting sustainability. The chapter also highlights the role of software solutions in sustainable computing, including green software development practices, virtualization, cloud computing, and power management software. The chapter discusses the practical application of sustainable computing in organizations, highlighting challenges, ethical considerations, and a roadmap for the future of sustainable computing, enriched with case studies.
Edge AI in Cloud Computing for Sustainable Development
Authors: Dhibar Kunal , Maji Prasenjit , Mondal Hemanta Kumar , Parbat Gayatree
Published: April 2024

This chapter explores the integration of applied artificial intelligence (AI), machine learning (ML), and edge computing in cloud environments, with a focus on leveraging these technologies for sustainable development. The first part of the thesis investigates the enhancement of cloud computing through the application of AI and ML techniques. The second part delves into the emerging paradigm of Edge AI in cloud computing, which examines the integration of AI and ML capabilities at the network edge to enable real-time analysis and decision-making. The thesis highlights the importance of sustainable development in cloud computing, emphasizing the need for energy-efficient and environmentally conscious solutions. Through comprehensive experimentation and analysis, this research contributes valuable insights into the development of sustainable cloud architectures and strategies. The findings provide a roadmap for organizations and researchers to leverage the synergistic potential of AI, ML, and edge computing, driving advancements in cloud technology for sustainable development.
Cloud Security Based on Data Fragmentation and Improved Encryption for Optimal Performance
Authors: Gupta Anuj Kumar
Published: April 2024

In the adoption of cloud computing technology, the data security of customer data is prime research these days. The user gets access of the cloud resources that are hosted over the internet that can be hijacked by the attacker. In one example, the access of the virtual machine (VM) as a dedicated resource is given to the end user by the CSP; and when the end user is accessing these resources through an internet-connected PC, there is a possibility of security violation by the attacker, who can take full control of the data. Most of the intrusion detection and prevention system implemented over the cloud infrastructures is rule-based and therefore are only capable to detect the known threats. This research work addressed the security problem by a) selection of optimal data security algorithm, and b) data fragmentation and distribution of data blocks over the multiple cloud nodes that make it difficult to guess about the actual data and its location.
Secure Communication Protocols for Cloud and IoT
Authors: Goel Pawan Kumar
Published: April 2024

Secure communication protocols are paramount in ensuring the integrity, confidentiality, and availability of data in the interconnected landscapes of cloud computing and the internet of things (IoT). This comprehensive review explores the significance of these protocols, beginning with an introduction to cloud computing, IoT, and the challenges they pose to security. The exploration of security threats in both ecosystems lays the foundation for in-depth discussions on communication protocols tailored for Cloud and IoT environments. The review provides an exhaustive analysis of communication protocols for cloud security, including TLS/SSL and IPsec, unraveling their strengths, weaknesses, and use cases. Transitioning to IoT, the exploration delves into protocols such as MQTT and CoAP, evaluating their suitability across diverse IoT scenarios. Integration challenges in Cloud and IoT environments, real-world case studies, and emerging technologies like blockchain further enrich the discussion. Looking to the future, trends such as zero trust architecture and edge computing are examined, along with the potential impact of blockchain on security. Practical recommendations for implementing secure communication protocols and best practices for ongoing security in Cloud and IoT systems are presented. The conclusion underscores the critical role of secure communication protocols in navigating the evolving digital landscape.
Enhancing Cloud and IoT Security
Authors: Babu C. V. Suresh , Pal Abhinaba , Vinith A. , Muralirajan Venkatraman , Gunasekaran Sriram
Published: April 2024

As the world becomes increasingly reliant on cloud computing and the internet of things (IoT), ensuring the security of sensitive data and access to cloud resources is paramount. This chapter focuses on innovative approaches to user authentication within the context of “security frameworks for cloud and IoT systems.” The proposed chapter discusses how IoT technology can be harnessed to develop a robust, multi-factor authentication system tailored to manage cloud computing interfaces. The chapter explores the vulnerabilities of traditional single-factor authentication methods, emphasizing the critical need for enhanced security measures. It highlights the integration of biometric authentication, secure communication protocols, and the use of IoT devices for secure user authentication. The chapter also covers topics like behavioral analytics, user-friendly interfaces, and compliance with data privacy regulations to create a comprehensive approach to enhancing security in cloud and IoT environments.
SISA En-Decryption Algorithm for Multilingual Data Privacy and Security in IoT
Authors: Kannan Sivasakthi , Thayammal Manju C. , Alphonse Sherly , Priyanga  , Abinaya S.
Published: April 2024

Because of worldwide integration, multilingual databases and document transfers are quite widespread, which raises the requirement for data security against hackers. Without regard to Unicode, the suggested SISA En-De-Cryption (SEDC) method is capable of encrypting any language. The multilingual data and documents in the devices are secured using the proposed SEDC method in this work. Because the proposed SEDC technique has no size or language restrictions on the key, it is substantially more secure than current encryption algorithms in the literature. The brute force attack is also decreased by this SEDC trait. The SEDC algorithm's design is so straightforward that it may be created in any computer language. The suggested SEDC algorithm may also be fused with several other technologies like cloud-based web applications, IoT, block chain etc. and can be utilized for data security in multiple areas like healthcare, smart agriculture and mobile communication etc. When compared to other existing algorithms, the suggested SEDC method performs better.
Artificial Intelligence and Criminal Law
Authors: El-Kady Ramy
Published: April 2024

The world is on the cusp of entering a new era of artificial intelligence, and it has become necessary to develop laws. Artificial intelligence is one of the most critical topics for criminal law jurists, given that there is a need to establish legal rules commensurate with the nature of this technology that is expected to prevail worldwide. The problem of the study is the lack of a legal framework that regulates the uses of artificial intelligence and shows the criminal rules that should be applied. The chapter aims to introduce the applications of artificial intelligence, its fields, advantages, and its expected impact during the next stage, highlighting the proposed rules of criminal law to regulate the use of artificial intelligence and discussing the appropriate penalties proposed to be applied. The study recommended the international community develop a global framework governing the use of artificial intelligence technologies, calling national legislators to set rules that regulate the use of artificial intelligence and determine appropriate penalties in case of misuse.
Harmonizing Accounting and Artificial Intelligence for the Sustainability of the Accounting Profession
Authors: Jaya I Made Laut Mertha , Ilahiyah Mar'a Elthaf
Published: April 2024

The sustainability of the accounting profession is starting to be questioned. Will it still exist, or will it be replaced by technology? This chapter will provide a literature review on the relationship between accounting and artificial intelligence and harmonize them to maintain the sustainability of the accounting profession in Indonesia. The authors conducted this literature review process using the bibliometric analysis method and described it by embedding several assumptions from various literature opinions. In the end, according to the authors' point of view, the accountant profession will not be completely displaced by technology, but the presence of technology will actually facilitate the work of accountants, so that all processes are carried out by system and not manually. This shorter way will produce more accurate, faster, and less workforce output. Meanwhile, the presence of technology can also reduce the need for human resources (accountants). Nevertheless, the emergence of technology also opens up opportunities for the accounting profession with new technology-related expertise, such as digital forensic accounting, environmental management accounting/green accountant, and information systems-based auditing. The green accountant is an accountant who performs green accounting practices. Therefore, the scope of accounting today is no longer limited to financial matters, but also includes social and environmental matters. This integration of financial, social, and environmental accounting is called green accounting.