bluuebunny/crossref_metadata_2025 huggingface dataset:
DETERMINANTS OF FIRM PROFITABILITY: EMPIRICAL EVIDENCE FROM JORDAN’S SERVICE SECTOR
Authors: Aldboush Hassan Hamad , Almasria Nashat Ali , Ferdous Marah
Published: September 2023

This paper examines the financial factors affecting profitability across the listed Jordanian service companies. Insufficient attention has been paid to the influence of profitability specifically revealed by financial indicators. This study adopts the firm effect model. The investigation is established on panel data from 2015 to 2020, based on annual company reports. Regression was used to test the study hypotheses. The research sample is collected from the 46 public service firms listed. The profitability of Jordan’s service firms is measured by three proxies, including, Return on Equity (ROE), Earnings Per Share (EPS) and Return on Assets (ROA). The results reveal that firm size and liquidity positively and significantly impact profitability. Conversely, the findings verify that company efficiency and market power have no significant impact on profitability. Moreover, among Jordan’s service firms’ financial indicators, the findings confirm that neither firm nor sales growth have a significant influence on profitability, while sustainable growth rate has a positive, significant effect on profitability. The firm effects are higher for ROE than ROA and EPS. The study provides beneficial insights for managers and investors by providing effective policies designed to improve profitability. The results also provide shareholders with statistics that will ensure the profitability of companies operating in developing countries, such as Jordan.
RESEARCH ON THE PHYSICAL AND CHEMICAL PROPERTIES OF SEWAGE TREATMENT SLUDGE BIOCHAR AND ITS PREPARATION FOR WASTEWATER
Authors: Paulionytė Judita , Vaiškūnaitė Rasa
Published: September 2023

Treatment and recycling of sludge waste have developed into a research focus in recent years. Today, nutrient recovery from wastewater and sludge has received much attention from regulators, academia, industry, and the general public. Institutions and governments around the globe are now seeking innovation to implement a “circular economy” for sewage sludge usage. The development of cost-effective and environmentally friendly disposal processes is necessary to meet political demands. In developing countries, common approaches to the treatment such as incineration and landfilling, cause unwanted secondary pollution. The study aims to determine sewage sludge biochar’s physical and chemical properties and its preparation for wastewater treatment. The chosen chemical properties of sewage sludge biochar were electrical conductivity (EC), total organic carbon (%) content, physical properties were volatile solids, ash content, and also conducted phosphorus leaching experiment. It was determined that by increasing the pyrolysis temperature, the electrical conductivity (from 665 µS/cm to 277 µS/cm) and total organic carbon (from 29.03% to 17.25%) measurements decreased. By increasing the pyrolysis temperature, the ash content (from 50.07% to 69.45%), and volatile solids (from 53.61% to 74.55%) measurements increased.
A Nondetection of Iron in the First High-resolution Emission Study of the Lava Planet 55 Cnc e
Authors: Rasmussen Kaitlin C. , Currie Miles H. , Hagee Celeste , van Buchem Christiaan , Malik Matej , Savel Arjun B , Brogi Matteo , Rauscher Emily , Meadows Victoria , Mansfield Megan , Kempton Eliza M.-R. , Desert Jean-Michel , Wardenier Joost P. , Pino Lorenzo , Line Michael , Parmentier Vivien , Seifahrt Andreas , Kasper David , Brady Madison , Bean Jacob L.
Published: September 2023

Close-in lava planets represent an extreme example of terrestrial worlds, but their high temperatures may allow us to probe a diversity of crustal compositions. The brightest and most well-studied of these objects is 55 Cancri e, a nearby super-Earth with a remarkably short 17 hr orbit. However, despite numerous studies, debate remains about the existence and composition of its atmosphere. We present upper limits on the atmospheric pressure of 55 Cnc e derived from high-resolution time-series spectra taken with Gemini-N/MAROON-X. Our results are consistent with current crustal evaporation models for this planet which predict a thin ∼100 mbar atmosphere. We conclude that, if a mineral atmosphere is present on 55 Cnc e, the atmospheric pressure is below 100 mbar.
Detection Possibility of Continuous Gravitational Waves from Rotating Magnetized Neutron Stars
Authors: Das Mayusree , Mukhopadhyay Banibrata
Published: September 2023

In recent decades, several neutron stars (NSs), particularly pulsars, with masses of M > 2 M
⊙ have been observed. On the other hand, the existence of massive white dwarfs, even violating the Chandrasekhar mass limit, was inferred from the peak luminosities of Type Ia supernovae. Hence, there is a generic question of the origin of massive compact objects. Here we explore the existence of massive, magnetized, rotating NSs with the soft and steep equations of state by solving axisymmetric stationary stellar equilibria in general relativity. For our purposes, we consider the Einstein equation solver for stellar structure XNS code. Such rotating NSs with magnetic fields and rotation axes misaligned, and hence a nonzero obliquity angle, can emit continuous gravitational waves (GWs), which can be detected by upcoming detectors, e.g., the Einstein Telescope, etc. We discuss the decay of the magnetic field, angular velocity, and obliquity angle with time due to angular momentum extraction by GWs and dipole radiation, which determine the timescales related to the GW emission. Further, in the Alfvén timescale, a differentially rotating, massive proto-NS rapidly settles into a uniformly rotating, less massive NS due to magnetic braking and viscosity. These explorations suggest that detecting massive NSs is challenging and sets a timescale for detection. We calculate the signal-to-noise ratio of GW emission, which confirms that any detector cannot detect them immediately, but that they are detectable by the Einstein Telescope and Cosmic Explorer over months of integration time, leading to direct detection of NSs.
Water Absorption in the Transmission Spectrum of the Water World Candidate GJ 9827 d
Authors: Roy Pierre-Alexis , Benneke Björn , Piaulet Caroline , Gully-Santiago Michael A. , Crossfield Ian J. M. , Morley Caroline V. , Kreidberg Laura , Mikal-Evans Thomas , Brande Jonathan , Delisle Simon , Greene Thomas P. , Hardegree-Ullman Kevin K. , Barman Travis , Christiansen Jessie L. , Dragomir Diana , Fortney Jonathan J. , Howard Andrew W. , Kosiarek Molly R. , Lothringer Joshua D.
Published: September 2023

Recent work on the characterization of small exoplanets has allowed us to accumulate growing evidence that sub-Neptunes with radii greater than ∼2.5 R
⊕ often host H2/He-dominated atmospheres both from measurements of their low bulk densities and from direct detections of their low mean molecular mass atmospheres. However, the smaller sub-Neptunes in the 1.5–2.2 R
⊕ size regime are much less understood and often have bulk densities that can be explained either by the H2/He-rich scenario or by a volatile-dominated composition known as the “water world” scenario. Here we report the detection of water vapor in the transmission spectrum of the 1.96 ± 0.08 R
⊕ sub-Neptune GJ 9827 d obtained with the Hubble Space Telescope (HST). We observe 11 HST Wide Field Camera 3 transits of GJ 9827 d and find an absorption feature at 1.4 μm in its transit spectrum, which is best explained (at 3.39σ) by the presence of water in GJ 9827 d’s atmosphere. We further show that this feature cannot be caused by unocculted starspots during the transits by combining an analysis of the K2 photometry and transit light source effect retrievals. We reveal that the water absorption feature can be similarly well explained by a small amount of water vapor in a cloudy H2/He atmosphere or a water vapor envelope on GJ 9827 d. Given that recent studies have inferred an important mass-loss rate (>0.5 M
⊕ Gyr−1) for GJ 9827 d, making it unlikely to retain a H-dominated envelope, our findings highlight GJ 9827 d as a promising water world candidate that could host a volatile-dominated atmosphere. This water detection also makes GJ 9827 d the smallest exoplanet with an atmospheric molecular detection to date.
Luminous Radio Emission from the Superluminous Supernova 2017ens at 3.3 yr after Explosion
Authors: Margutti Raffaella , Bright J. S. , Matthews D. J. , Coppejans D. L. , Alexander K. D. , Berger E. , Bietenholz M. , Chornock R. , DeMarchi L. , Drout M. R. , Eftekhari T. , Jacobson-Galán W. V. , Laskar T. , Milisavljevic D. , Murase K. , Nicholl M. , Omand C. M. B. , Stroh M. , Terreran G. , VanderLey B. A.
Published: September 2023

We present the results from a multiyear radio campaign of the superluminous supernova (SLSN) SN 2017ens, which yielded the earliest radio detection of an SLSN to date at the age of ∼3.3 yr after explosion. SN 2017ens was not detected at radio frequencies in the first ∼300 days but reached L

ν
≈ 1028 erg s−1 cm−2 Hz−1 at ν ∼ 6 GHz, ∼1250 days post explosion. Interpreting the radio observations in the context of synchrotron radiation from the supernova shock interaction with the circumstellar medium (CSM), we infer an effective mass-loss rate

M

̇

≈

10

−
4

M

☉

yr

−
1

at r ∼ 1017 cm from the explosion’s site, for a wind speed of v

w
= 50–60 km s−1 as measured from optical spectra. These findings are consistent with the spectroscopic metamorphosis of SN 2017ens from hydrogen poor to hydrogen rich ∼190 days after explosion reported by Chen et al. SN 2017ens is thus an addition to the sample of hydrogen-poor massive progenitors that explode shortly after having lost their hydrogen envelope. The inferred circumstellar densities, implying a CSM mass up to ∼0.5 M
☉, and low velocity of the ejection suggest that binary interactions (in the form of common-envelope evolution and subsequent envelope ejection) play a role in shaping the evolution of the stellar progenitors of SLSNe in the ≲500 yr preceding core collapse.
NGDEEP Epoch 1: The Faint End of the Luminosity Function at z ∼ 9–12 from Ultradeep JWST Imaging
Authors: Leung Gene C. K. , Bagley Micaela B. , Finkelstein Steven L. , Ferguson Henry C. , Koekemoer Anton M. , Pérez-González Pablo G. , Morales Alexa , Kocevski Dale D. , Yang 杨 Guang 光 , Somerville Rachel S. , Wilkins Stephen M. , Yung L. Y. Aaron , Fujimoto Seiji , Larson Rebecca L. , Papovich Casey , Pirzkal Nor , Berg Danielle A. , Lotz Jennifer M. , Castellano Marco , Chávez Ortiz Óscar A. , Cheng Yingjie , Dickinson Mark , Giavalisco Mauro , Hathi Nimish P. , Hutchison Taylor A. , Jung Intae , Kartaltepe Jeyhan S. , Natarajan Priyamvada , Rothberg Barry
Published: September 2023

We present a robust sample of very high redshift galaxy candidates from the first epoch of JWST/NIRCam imaging from the Next Generation Deep Extragalactic Exploratory Public (NGDEEP) survey. The NGDEEP NIRCam imaging, spanning 9.7 arcmin2 in the Hubble Ultra Deep Field Parallel Field 2, reaches m = 30.4 (5σ, point-source, 2″ diameter apertures corrected to total) in F277W, making it the deepest public JWST GO imaging data set to date. We describe our detailed data reduction process of the six-filter broadband JWST/NIRCam imaging, incorporating custom corrections for systematic effects to produce high-quality calibrated images. Using robust photometric redshift selection criteria, we identify a sample of 38 z ≳ 9 galaxy candidates. These objects span a redshift range of z = 8.5–15.8 and apparent magnitudes of m
F277W = 27–30.5 AB mag, reaching ∼1.5 mag deeper than previous public JWST imaging surveys. We calculate the rest-frame ultraviolet luminosity function at z ∼ 9 and 11 and present a new measurement of the luminosity function faint-end slope at z ∼ 11. We find a faint-end slope of α = −2.5 ± 0.4 and −2.2 ± 0.2 at z ∼ 9 and 11, respectively. This is consistent with no significant evolution in the faint-end slope and number density from z = 9 to 11. Comparing our results with theoretical predictions, we find that some models produce better agreement at the faint end than the bright end. These results will help to constrain how stellar feedback impacts star formation at these early epochs.
Change of Spectral Properties of Magnetic Field Fluctuations across Different Types of Interplanetary Shocks
Authors: Park Byeongseon , Pitňa Alexander , Šafránková Jana , Němeček Zdeněk , Krupařová Oksana , Krupař Vratislav , Zhao Lingling , Silwal Ashok
Published: September 2023

The interaction between interplanetary (IP) shocks and the solar wind has been studied in the past for the understanding of energy dissipation mechanisms within collisionless plasmas. Compared to the study of fast shocks, other types of IP shocks, including slow mode shocks (i.e., fast forward, fast reverse, slow forward, and slow reverse shocks) remained largely unnoticed. We analyze magnetic field fluctuations observed by the Wind spacecraft from 1995 to 2021 upstream and downstream of the IP shocks using a continuous wavelet transform. The evolution of spectral indices in the ion inertial and transition ranges and the changes in distributions of characteristic ion length scales with respect to the spectral break and proton beta are presented. We found that spectral indices in both inertial and transition ranges and the characteristic length scale distributions are statistically conserved across three types of IP shocks, suggesting that mechanisms associated with the energy dissipation are unaffected by the shocks. The results obtained for the transition range of fast reverse shocks show a larger difference between upstream and downstream plasmas and this will be further studied.
Bargaining power, product differentiation, and currency patterns in intra-BRICS trade
Authors: Gnidchenko Andrey
Published: September 2023

The paper aims to model the currency structure of intra-BRICS trade using readily available data at the product-country level. The research is motivated by the existence of data availability problem that has arisen because the Bank of Russia does not publish data on invoicing currencies in a detailed breakdown by currency and partner. It involves the two factors that require only trade data: the index of trading partners’ bargaining power and the degree of product quality differentiation. First, I link the hypothetical model share of trade invoiced in the producer currency to the ratio of the bargaining powers of exporter and importer countries by logistic curves with different parameters; assuming that trade in homogeneous products with low quality differentiation is invoiced in vehicle currencies, I then compare the model structure of Russia’s intra-BRICS trade with the aggregated data, and choose the parameters of the logistic curve that provide the best fit. I use CEPII BACI database for 2019. The results show that the actual and the model invoicing currency structures for Russia’s intra-BRICS trade are very close for exports but differ for imports, which highlights the role of the importer’s foreign exchange reserves currency structure. The model share of Chinese renminbi in total intra-BRICS trade is about 47% and the model share of vehicle currencies is estimated at 38%. The long-term potential share of Chinese renminbi in total intra-BRICS trade may exceed 80% that makes it the strongest candidate for substituting vehicle currencies in intra-BRICS trade.
Entre cris et chuchotements : d’une intimitéà l’autre dans une psychothérapie psychanalytiquede groupe d’enfants à la latence
Authors: Laroche-Joubert Mathilde , Riand Raphaël
Published: September 2023

La notion d’intimité parcourt différents champs théoriques et différents temps du développement psychique. Dans le cadre d’une thérapie psychanalytique de groupe d’enfants en âge de latence, les auteurs s’intéressent à la construction de l’espace psychique groupal à travers la constitution de son intimité. À partir d’une situation clinique, ils abordent l’évolution de la nature et des limites de cette intimité, soumise à la modification du cadre imposée par la pandémie et le confinement, tant du point de vue du groupe que des thérapeutes. L’importance du passage des cris, dans le premier temps du groupe, aux chuchotements dans le temps de confinement illustrera les changements de modalités de partage de l’intimité.
Le « Carrefour de savoirs » comme espace d’expérimentation pour la recherche collaborative
Authors: Lelubre Marjorie , Moriau Jacques , Parazelli Michel
Published: September 2023

La recherche collaborative invite à repenser les processus de production des connaissances, en offrant une place à part entière aux « non-chercheurs » et ainsi œuvrer pour plus de justice cognitive. Posture éthique et épistémologique forte qui reste complexe à mettre en œuvre en pratique, notamment pour que ce qui concerne les questions méthodologiques. À cet égard, le Carrefour de savoirs, format déployé dans le cadre du 9 e  congrès de l’AIFRIS, en juillet 2022 à Bruxelles, apparaît comme un espace d’expérimentation à partir duquel éprouver ces principes. Par le biais d’une analyse critique du Carrefour de savoirs mis en place par l’équipe du Crebis lors de ce congrès, il s’agit d’analyser en quoi ce dispositif est porteur d’enseignements pour la mise en œuvre de la recherche collaborative en général.
L’expérience écologique est-elle soluble dans le système éducatif français ?
Authors: Decamp André , Jasienski Morgan
Published: September 2023

Compte tenu de son imbrication avec l’éducation au développement durable, l’axe de l’écologie a pris, depuis une dizaine d’années, une place prépondérante sur le plan politique, culturel, social et éducatif. Mais, bien que cette éducation au développement durable soit intégrée depuis 2004 à toutes les sphères de l’enseignement, elle s’inscrit dans un référentiel des bonnes pratiques peu réceptif au savoir expérientiel et empirique.L’objectif de notre article est de démontrer qu’il existe une « activité empêchée » entre le savoir expérientiel et le savoir éducatif, et que le système éducatif français est pris en étau entre ces deux référentiels. Notre article propose de revisiter des éléments de réflexion autour du Travail Social Vert (TSV) et du mouvement d’éducation populaire et son état d’esprit, qui pourraient faire le lien entre savoir expérientiel et savoir académique.
En quoi « la théorie de la résonnance » peut-elle enrichir le cadre conceptuel du travail social à l’encontre de l’écologie ?
Authors: Mechkar Mohammed
Published: September 2023

Le propos de cette contribution est une réflexion sur les apports de la théorie de la résonnance susceptible d’enrichir le cadre conceptuel comme les pratiques professionnelles dans les interrelations travail social/écologie. Hartmut Rosa, qui se présente lui-même dans la ligné de l’École de Francfort, opère un renouvellement sans précédent dans la pensée sociologique. Son plaidoyer pour une sociologie de la relation au monde, met au centre de ses préoccupations et des sciences humaines et sociales en général la question de l’urgence écologique.
L’animation socioculturelle au service des projetsenvironnementaux des communes vaudoises
Authors: Müller Bellinda , Pittet Loana , Krayenbühl Romane
Published: September 2023

Face à l’impératif écologique, comment le travail social peut-il contribuer au processus de transition durable sur des territoires cantonaux et communaux, tout en favorisant une justice sociale ? Cet article restitue les enjeux d’un projet mis en œuvre par des étudiantes suisses en animation socioculturelle, dans le Canton de Vaud, dans le cadre d’un dispositif de développement de projet mis au concours par leur université d’arts et de sciences appliquées.
Energy minimizing solutions to slightly subcritical elliptic problems on nonconvex polygonal domains
Authors: Choi Woocheol
Published: September 2023

In this paper we are concerned with the Lane-Emden-Fowler equation

   \begin{document}$ \begin{equation*} \left\{\begin{array}{rll}-\Delta u & = u^{\frac{n+2}{n-2}- \varepsilon}& {\rm{in}}\; \Omega, \\ u&>0& {\rm{in}}\; \Omega, \\ u& = 0& {\rm{on}}\; \partial \Omega, \end{array} \right. \end{equation*} $\end{document}

where $ \Omega \subset \mathbb{R}^n $ ($ n \geq 3 $) is a nonconvex polygonal domain and $ \varepsilon > 0 $. We study the asymptotic behavior of minimal energy solutions as $ \varepsilon > 0 $ goes to zero. A main part is to show that the solution is uniformly bounded near the boundary with respect to $ \varepsilon > 0 $. The moving plane method is difficult to apply for the nonconvex polygonal domain. To get around this difficulty, we derive a contradiction after assuming that the solution blows up near the boundary by using the Pohozaev identity and the Green's function.
Analysis of the solvability and stability of the operator-valued Fredholm integral equation in Hölder space
Authors: Bhujel Manalisha , Hazarika Bipan , Panda Sumati Kumari , Chalishajar Dimplekumar
Published: September 2023

In this paper, the solvability of an operator-valued integral equation in Hölder spaces, i.e.,

   \begin{document}$ \begin{equation*} \label{fredholm} w(\zeta_1) = y(\zeta_1)+w(\zeta_1)\int_{\bf J}\kappa(\zeta_1, \varphi)(T_1w)(\varphi)d\varphi+z(\zeta_1)\int_{\bf J}h(\varphi, (T_2w)(\varphi))d\varphi, \end{equation*} $\end{document}

for $ \zeta_1\in{\bf J} = [0, 1], $ is studied by using Darbo's fixed point theorem (FPT). The process of the measure of noncompactness of the operators which constitute an intermediary of contraction and compact mappings can be explained with the help of Darbo's FPT. The greater effectiveness of Darbo's FPT due to its non-involvement of the compactness property gives a better scope when dealing with the Schauder FPT, where compactness is an essential property. To obtain a unique solution, we apply the Banach fixed point theorem and discuss the Hyers-Ulam stability of the integral equation. We also give some important examples to illustrate the existence and uniqueness of the results.
New regularization methods for convolutional kernel tensors
Authors: Guo Pei-Chang
Published: September 2023

Convolution is a very basic and important operation for convolutional neural networks. For neural network training, how to bound the convolutional layers is a currently popular research topic. Each convolutional layer is represented by a tensor, which corresponds to a structured transformation matrix. The objective is to ensure that the singular values of each transformation matrix are bounded around 1 by changing the entries of the tensor. We propose three new regularization terms for a convolutional kernel tensor and derive the gradient descent algorithm for each penalty function. Numerical examples are presented to demonstrate the effectiveness of the algorithms.
INTERPRETIVE STRUCTURAL MODELING FOR INVESTIGATING FACTORS AND THEIR RELATIONSHIPS INFLUENCING ON-SITE SORTING OF CONSTRUCTION WASTE
Authors: Yuan Hongping , Song Xiangnan , Liu Jing
Published: September 2023

On-site sorting of construction waste has been perceived as an effective measure for promoting sustainable construction. Previous studies have identified factors influencing the implementation of such construction waste sorting activities on-site. Most of them, however, focused on examining the factors from a single standpoint, disregarding the interrelationships between them. This paper seeks to investigate influential factors in implementing on-site construction waste sorting activities, with particular emphasis on their interactive relationships. Data was collected via semi-structured interviews with ten experienced professionals. The intricate interactive relationships among these factors were described and analyzed through the application of an Interpretive Structural Modeling approach and a Matriced’ Impacts Croises-Multipication Applique a Classement analysis. This yielded 13 principal factors that could be sorted into four categories: autonomous, dependent, linkage and driving—with six being considered as fundamental for successful on-site construction waste sorting; i.e., difficulty in sorting materials from mixed construction waste, limited space & environment at the site, low benefits from this activity, interference causing regular disruptions to site activities, immature recycled material market, and lack of government regulation support. In contrast to prior studies, the lack of manpower is no longer seen as being as critical an issue as before. Factors such as the difficulty in sorting materials from mixed construction waste, the limited benefit from on-site construction waste sorting, and the lack of government regulation support have become more critical. This study not only helps to identify the critical elements that affect on-site sorting of construction waste and their relationships, but also assists policymakers and practitioners in understanding the priority of measures needed to increase on-site sorting of construction waste.
A SYSTEMATIC REVIEW OF DIFFERENT TYPES OF ZERO ENERGY BUILDINGS RESEARCH OVER THE PAST 45 YEARS
Authors: Sabour M.R. , Abdolmaleki A.R. , Jafari M.A.
Published: September 2023

Numerous environmental issues have been addressed as a consequence of rapidly increasing global energy consumption. Building energy consumption has risen considerably in the last few decades. In recent years, the zero energy building (ZEB) concept has attained worldwide attention and is now commonly identified as the future criteria for building design. However, there is a lack of uniform definition in this field. This study combines bibliometric and visual analysis of Scopus database publications from 1977 to 2022 to investigate ZEB-related studies. Five topical clusters formed as a result of evaluating the co-occurrence network of the keywords. Finally, the most popular research trends were determined by investigating the overlay network. The scientific knowledge concerning zero energy buildings has been mapped by employing the results of this paper. In addition, they have been utilized to highlight future opportunities and gaps and illustrate the connections between various subject areas.
DUAL PERSPECTIVE DIAGNOSIS ON LOW CARBON CITY PERFORMANCE
Authors: Shen Liyin , Bao Haijun , Yang Yi , Yang Zhenchuan , Xu Xiangrui , Zhang Lingyu , Liao Shiju , Chen Ziwei
Published: September 2023

Developing low-carbon cities (LCC) is a strategic measure to mitigate climate change. This study proposes to diagnose LCC performance from a dual perspective in order to identify problematic areas for improvement. The dual perspective refers to management processes (including Plan, Do, Check, and Act) and low carbon city performance dimensions (namely, energy structure, economic development, production efficiency, urban population, water carbon sink, forest carbon sink, green space carbon sink, and low carbon technology). A diagnosis model has been introduced based on the dimension-process dual perspective. The model has been applied for diagnosing the LCC performance in four municipalities in China. It has been found that the performance in the economic development dimension is much better than in other LCC dimensions, and the performance in Plan and Do stages are better than that in other stages. This reflects the traditional practice in China where more attention and resources are often given to urban planning and implementation with less attention to checks and feedback. The findings from this study provide important references for both further research in the discipline and practical application in promoting LCC in other cities.
Electronic and Optical Properties of Quantum Nano-Structures
Authors: Hunagund Shivakumar
Published: September 2023

The aim of this chapter is to develop an understanding of the electronic and optical properties of quantum well systems. These structures, which can be found in semiconductors, confine particles in one dimension and exhibit discrete energy levels that can be calculated using fundamental quantum mechanics. Quantum wells are formed by sandwiching a material like GaAs between two layers of a material with a wider bandgap like AlAs, and can be grown using techniques such as MBE or CVD. The electronic and optical properties of quantum wells can be modified by altering parameters such as potential and well widths. In this chapter, the authors will use the Schrödinger equation to solve for the energy levels of quantum wells and provide a quantum mechanical description of the properties of electrons in these systems. They will also use computer programs to investigate the effects of changing parameters such as potential and well widths on the properties of quantum wells.
Financial Literacy and Perceived Risk Attitudes as Drivers of Investment Intentions in the Digital Era
Authors: Tyagi Priyanka , Jain Ajay
Published: September 2023

Financial markets all over the world offer a wide range of financial products. Financial instruments such as equity, mutual funds, bonds, government securities, gold, fixed deposits, and many other options are available in financial markets to investors. The purpose of this research study is to analyze the influence of the independent factors of financial literacy and perceived risk attitudes on investment intentions. The population of the study is from the area of Delhi-NCR. Researchers used a descriptive research design and convenient sampling method in the current study. The data of 223 respondents was collected through an online survey via Google form link. The researchers used a PLS-SEM to analyze the research data. The results of the study indicated financial literacy and perceived risk attitudes have a significant impact on investment intentions.
Mobile Gamification Tools for Foreign Language Teaching in Higher Education
Authors: Demirbilek Muhammet
Published: September 2023

Gamification has gained popularity in recent decades as an effective approach to enhancing student engagement and motivation in various fields, including foreign language teaching. Mobile gamification tools have been identified as a promising avenue for incorporating game elements into language learning, as they enable students to access learning materials and participate in interactive activities anytime and anywhere. This chapter provides an overview of the literature on mobile gamification tools for foreign language teaching in higher education. The review focuses on the benefits and challenges of using mobile gamification tools in language learning, the types of tools available, and the factors that influence their effectiveness. In addition, the paper presents examples of successful implementations of mobile gamification tools in language classrooms and discusses the pedagogical implications of using these tools.
Predicting University Students' Mobile Learning Attitudes in Language Classrooms
Authors: Orhan Ali
Published: September 2023

This study aimed to examine the predictive role of digital literacy skills on mobile English learning attitudes. It was conducted with 135 university students studying in the school of foreign languages of a state university in Turkey, and the data were gathered using digital literacy scale and English mobile learning attitude scale. This study showed that university students' digital literacy skills and mobile English learning attitudes were high and their digital literacy skills have a moderate and positive relationship with their mobile English learning attitudes. Besides, it was concluded that university students' digital literacy skills significantly predicted their mobile English learning attitudes and they together explained 50% of the total variance on their mobile English learning attitudes. Also, university students' scores on the attitude subscale of the digital literacy scale presented the largest effect on their mobile English learning attitudes.
Game-Based Learning to Teach Executive Functions
Authors: Rodríguez-Ferrer José M. , Sánchez Rubén Camacho , García-Roca Anastasio , León Ana Manzano
Published: September 2023

This pilot study aimed to investigate the effectiveness of game-based learning in teaching executive functions (EF) to preservice teachers. Various games were employed as training tools to improve EF skills, and students' satisfaction and perceptions of the training were evaluated. The results revealed a highly positive response to the utilized methodology, highlighting its efficacy in stimulating students with special educational needs. Participants valued the adaptability of the games and considered the experience enjoyable and innovative. These findings emphasize the importance of providing future educators with practical exposure to active learning methodologies.
Analyzing Billionaire Databases Using Python
Authors: Rama Olsa
Published: September 2023

The network of billionaires could be analyzed through their data and information. Python has the capability of taking data and information from many sources and analyzing them from a single database. The idea of the report is to compare databases with all the billionaires in the world at different time frames. By collecting all the needed, such as personal information and integrable data, the program will output them in a table. The program takes datasets in the Comma Separated Values file and gives out the output through the Google Colab platform. The authors give importance to net worth and other publicly sensitive information that will be analyzed by the Python program. The purpose of analyzing billionaires around the world is to find similarities among countries with the potential for greater economic development.
Software Principles of 5G Coverage
Authors: Sinha Himanshu Kumar , Pradhan Devasis , Saurabh Abhishek , Kumar Anand
Published: September 2023

5G NR (new radio) coverage tool is a software-based solution that helps network planners and engineers to analyze and optimize the coverage of 5G networks. The tool uses advanced algorithms and models to predict the 5G signal propagation and coverage performance in different environments and scenarios. It takes into account various factors such as the frequency band, the antenna configuration, the terrain, the building materials, and the interference from other sources. It provides a detailed analysis of the signal strength, quality, and throughput in different locations, enabling network operators to identify areas with poor coverage and take appropriate measures to improve it. It also allows network planners to simulate different deployment scenarios and optimize the network design for maximum coverage and capacity. The tool provides real-time feedback and visualization of the coverage performance, allowing engineers to adjust the network parameters and antenna configurations on the fly.
Financial Fraud in the Age of FinTech
Authors: Pandiya Bhartrihari , Yadav Priyanka
Published: September 2023

Fintech is a vast domain that includes a wide range of activities, from data security to financial service delivery, which helps companies automate their business operations and introduce the latest financial products and services. The problem of financial fraud has a significant impact on the finance sector and needs behavioral understanding from the perspective of both the fraudster and the consumer. The purpose of the chapter is to identify and analyze the various aspects of financial fraud in the age of Fintech and highlight the emerging research areas and trends. Co-occurrence and co-citation analyses were used to identify emerging trends and research directions related to fraud detection in Fintech research. The cluster analysis revealed five clusters which have been explained further. The research employs thematic clusters that identify fundamental, various themes based on their centrality and density. These themes and streams are intended to guide researchers, scholars, policymakers, and practitioners towards more precise, distinctive, and important areas of focus.
Financial Inclusion and Sustainable Development of Rug Weavers Through Innovative Traditional Practices of MANCHAHA Programme
Authors: Kumari Nisha , Kondala Mukesh
Published: September 2023

The Indian carpet industry, one of the country's most important sources of foreign exchange, is also well-known worldwide for its rich art and tradition. However, there is concern about innovation, financial inclusion, and sustainability. The current study explores the MANCHAHA initiative, a step taken by the Jaipur Rugs carpet industry toward sustainability, as well as its relevance and significance for other hand-craft or carpet industries. It also examines how it affects the financial inclusion of rug weavers. The single-case study method has been used in conjunction with the descriptive research design to conduct the study. The idea of innovation utilizing conventional methods is somewhat obsolete and underappreciated, but the company's MANCHAHA project disproved this preconceived notion.
A Decade of Sustainable FinTech Research
Authors: Kumar Sunil , Kotni V. V. Devi Prasad , Patra Sujit Kumar
Published: September 2023

Financial service firms are increasingly using financial technologies in order to offer bundle of financial services to the customers. In this process, the firms started adopting emerging technologies like AI, blockchain, bigdata, cloud computing, in their financial transactions and operations. The objective of this research is to provide bibliometrics such as top journals, top articles, most cited articles, most cited authors, top keywords, and so on related to sustainable finance research in order to provide future research directions to potential researchers. The appropriate articles, book chapters, conference papers, and reviews were identified from available sources using the search term “sustainable fintech” in the Scopus database, where 339 articles (as of 24-04-2023) from the years 2014 to 2023 were considered for bibliometric analysis using Vosviewer software. The study's future research paths will motivate researchers to conduct further research in the field of sustainable fintech.
Exploring Customer Feedback on Their Hotel Experiences in Vietnam
Authors: Nguyen Ha Thi Thu , Huong Thao Phan , Tram Anh Le Thi , Tran Thao Viet
Published: September 2023

Over the past twenty years, customer experience has attracted the attention of researchers and business executives. For the hotel service industry, understanding customer experience becomes a necessity, as it is one of the top goals for hotel survival. With the development of e-commerce and the globalized hotel industry, customers are easily shared on online booking sites, making hotel managers work harder to design a good customer experience management plan. This chapter proposes an approach to analyzing data from customers' online reviews with their experiences to understand their emotional and psychological states after using Vietnamese hotel services. The Python language is used for statistical analysis of these data, and the Vander library measures customers' positive and negative views after the hotel service experience. The results show that most customers are satisfied with Vietnamese hotel services, and less than 10% are dissatisfied with aspects such as staff, price, check-in, and location.
Research on Material Demand Forecasting Algorithm Based on Multi-Dimensional Feature Fusion
Authors: She Shi-Yao , Yuan Fang-Fang , Li Jun-Ke , Dai Hong-Wei
Published: September 2023

Material demand forecasting has a profound impact on the supply chain and is an important prerequisite for manufacturing enterprises to produce. In order to accurately predict the material demand of enterprises, this paper proposes a material demand forecasting algorithm based on multi-dimensional feature fusion (DFMF). Secondly, in order to obtain the spatial features, the vector representation of the relevant materials of a material is obtained through the attention mechanism. Then, the authors aggregate the relevant material representation and material vector representation of materials to obtain the final material vector representation through aggregation function. Then the final material vector representation under different time scales is used as input, and the prediction value of material demand is obtained by using BP neural network. Finally, experiments show that the model can effectively obtain multi-dimensional features of materials for prediction, and the prediction results have high accuracy.
A POI Recommendation Model for Intelligent Systems Using AT-LSTM in Location-Based Social Network Big Data
Authors: Lai Yiqiang , Zeng Xianfeng
Published: September 2023

In location-based social networks (LBSN), users can check-in at points of interest (POI) to record their trips. POI recommendation is an important service provided by LBSN; it can help users quickly find POI of interest, and also help POI providers more comprehensively understand user preferences and improve service quality. This paper proposes a POI recommendation algorithm that is based on attention mechanism. The sequence characteristics and short-term preferences of historical data are captured through the attention mechanism module and long short-term memory network (LSTM), and the POI location prediction is carried out in combination with the user embedding characteristics, and a better prediction accuracy is obtained. These results simulated show that the proposed method can realize the reliable analysis of complex data sets, and its precision index remains above 0.1 and recall index remains above 0.08, and it can also alleviate the cold start problem and better meet the personalized needs of users.
An Intelligent Framework for Log Anomaly Detection Based on Log Template Extraction
Authors: Pan Lei , Zhu Huichang
Published: September 2023

Log anomaly detection holds great significance in computer systems and network security. A large amount of log data is generated in the background of various information systems and equipment, so automated methods are required to identify abnormal behavior that may indicate security threats or system malfunctions. The traditional anomaly detection methods usually rely on manual statistical discovery, or match by regular expression which are complex and time-consuming. To prevent system failures, minimize troubleshooting time, and reduce service interruptions, a log template-based anomaly detection method has been proposed in this context. This approach leverages log template extraction, log clustering, and classification technology to timely detect abnormal events within the information system. The effectiveness of this method has been thoroughly tested and compared against traditional log anomaly detection systems. The results demonstrate improvements in log analysis depth, event recognition accuracy, and overall efficiency.
New Selection Process for Retaining Walls Based on Life Cycle Assessment and Economic Concerns
Authors: Zbidi Hend , El Euch Khay Saloua
Published: September 2023

Earth-retaining walls (ERWs) are widely used structures in civil engineering, a field known for their substantial environmental impact. However, the current practice of selecting ERW types for a project often neglects environmental concerns. To address this issue, this study proposes a novel process to enhance the rationality of ERW selection. It involves assessing the performance of commonly used ERW types in terms of both environmental issues and economic considerations. The proposed process relies on calculating a total cost (TC), which incorporates the costs of two crucial environmental indicators: carbon dioxide (CO2) emissions and cumulative energy demand (CED), evaluated using life cycle assessment (LCA), in addition to considering the traditional construction cost of the ERW. By determining the TC for various retaining wall options, engineers can identify the optimal ERW type for a specific project. To validate the effectiveness of this environmental-economic approach, a case study was conducted comparing two ERW types: the conventional concrete-reinforced retaining wall (CRRW) and the geosynthetic-reinforced retaining wall (GRRW). The study evaluated structures constructed at four different heights, ranging from 3 m to 6 m. The results demonstrate that the GRRW is the optimal option, offering a lower TC than the equivalent wall conventionally built with reinforced concrete across all evaluated heights. However, the difference in TC between the two ERWs is more pronounced for taller walls. At a height of 3 m, the total cost ratio between the CRRW and the GRRW is moderate at 1.2, while it substantially increases to 2.5 at a height of 6 m. In conclusion, the proposed process was effectively applied to the case study, providing valuable insights into the assessment of earth-retaining structures from both environmental and economic perspectives. It can assist engineers in prioritizing and selecting the most sustainable and cost-effective ERW type for a specific project.
Cereal Based Beverages for Nutrition Security: An Integrative Review
Authors: Wickramaarachchi L. A. , Jayasinghe M. A. , Herath H. M. T.
Published: September 2023

Whole grains are processed in different ways to make diverse products that are considered as nutritious and healthier. Nutrition security ensures consistent access, availability, and affordability of foods and beverages that promote well-being of people. Cereals plays crucial role to secure global nutrition security. Cereal grains such as rice, wheat, maize, sorghum and buckwheat are rich in bioactive phytochemicals, in addition to being major staple crops and primary sources of energy and nourishment to human body. Bioactive phytochemicals such as phenols, flavonoids, carotenoids and tannins with potent antioxidant capacities, dietary fibres, resistant starch, and phytic acid, which highlight potential application in processing grains into functional beverages having health promoting functional properties. Despite the fact that a range of cereal grain-based beverages are manufactured across the world, they have received very lesser scientific recognition and technical attention. Grain-based functional beverages have been divided into several categories such as non fermented grain-based and grain-based milk substitutes, fermented non-alcoholic grain beverages. The aim of this review was to discuss the processing techniques, health benefits, problems and future prospects of cereal grain-based beverages which might be a potential new category of functional beverages demanding by food industry.
Novel Protein Ingredients in Aquafeed
Authors: Herath Sandamali Sakunthala
Published: September 2023

As the fastest-growing food producer in the world, aquaculture plays a crucial role in ensuring global food and nutritional security. Nearly 70% of the aquaculture production is represented by fed aquaculture, in which the provision of nutritionally balanced formulated aquafeed is compulsory. Fish meal and fish oil derived from wild-captured small-pelagic fish are major components of aquafeed. Unsustainability in wild-captured fish, escalating market demand, uncertainties in future supply and prices are forcing fish nutritionists to evaluate and utilize alternative novel ingredients for aquafeed. By-products of fishery and aquaculture, insect meals, food waste, macroalgae, and a variety of single-cell organisms have been identified as potential ingredients in future aquafeed and it will ensure the sustainability of fed aquaculture. This editorial note discusses the utilization of alternative novel protein ingredients in aquafeed to ensure an economically and environmentally sound future for the aquaculture industry.