bluuebunny/crossref_metadata_2025 huggingface dataset:
Macroscopic handedness inversion of terbium coordination polymers achieved by doping homochiral ligand analogues
Authors: Wang Chang-Yu , Jia Jia-Ge , Weng Guo-Guo , Qin Ming-Feng , Xu Kui , Zheng Li-Min
Published: September 2023

Macroscopic chirality of right-handed Tb(R-cyampH)3·3H2O superhelices can be inversed by controlling the doping ratio of homochiral ligand analogue R-XpempH2 (X = H, F, Cl, Br), where pempH2 can introduce new weak interactions into the system.
Mechanical deformation affects the counterion condensation in highly-swollen polyelectrolyte hydrogels
Authors: Rafique Muzaffar , Erbaş Aykut
Published: September 2023

Counterion condensation around the stretched chains of a highly swollen polyelectrolyte hydrogel exhibits a non-monotonic behavior under deformation.
A novel dual-function SERS-based identification strategy for preliminary screening and accurate diagnosis of circulating tumor cells
Authors: Zhang Dinghu , Lin Jie , Xu Yanping , Wu Xiaoxia , Xu Xiawei , Xie Yujiao , Pan Ting , He Yiwei , Luo Jun , Zhang Zhewei , Fan LinYin , Li Shunxiang , Chen Tianxiang , Wu Aiguo , Shao Guoliang
Published: September 2023

Fe3O4–Au complex SERS bioprobe could effectively capture the TNBC and endow the tumor cells with remarkable SERS signals. Detection sensitivity and specificity of CTCs could be intelligently switched according to identification purposes.
Dementia and Hearing Aid Use and Cessation: A National Study
Authors: Powell Danielle S. , Garcia Morales Emmanuel E. , Oh Esther , Deal Jennifer A. , Samus Quincy M. , Wolff Jennifer L. , Reed Nicholas S.
Published: September 2023

Purpose:

The current standard for management of hearing loss in the United States involves the use of a hearing aid. Anecdotal evidence suggests that the use of a hearing aid may be less effective in the context of dementia, though national data on use and cessation are not described.

Method:

This longitudinal analysis of the National Health and Aging Trends Study followed participants who self-reported hearing aid use to estimate risk of hearing aid cessation over 9 years. We examine whether hearing aid cessation differs by dementia status using generalized estimating equations logistic regression accounting for loss to follow-up. Supplemental analyses were undertaken to examine the contribution of caregiving and environmental factors on hearing aid cessation.

Results:

Of 1,310 older adults who reported hearing loss (25% 80–84 years, 51% women, 74% White), 22% with dementia and 57% baseline hearing aid use. Dementia increased likelihood of ceasing hearing aid use during the first year after adoption (
OR
= 2.07, 95% CI [1.33, 3.23],
p
interaction = .11). In later years, older adults with either a previous or recent diagnosis of dementia had a 95% higher odds of hearing aid cessation (
OR
= 1.95, 95% CI [1.31, 2.90]), a decrease in odds with respect to the first year after adoption, when compared to participants without dementia, after adjusting for demographic, health, and economic factors. Economic and social factors that may influence care demands (more caregivers, income-to-poverty ratio, and additional insurance) increased likelihood for cessation for those with dementia.

Conclusions:

Older adults with (vs. without) dementia are more likely to cease hearing aid use over time, most notably during the first year after adoption. Strategies to support hearing ability, such as self-management or care partner education, may improve communication for those living with co-occurring hearing loss and dementia.
An Investigation of Barriers and Enablers for Genetics in Speech-Language Pathology Explored Through a Case Study of Childhood Apraxia of Speech
Authors: Lauretta Mariana L. , Jarmolowicz Anna , Amor David J. , Best Stephanie , Morgan Angela T.
Published: September 2023

Purpose:

Advancements in genetic testing and analysis have allowed improved identification of the genetic basis of childhood apraxia of speech, a rare speech presentation. This study aimed to understand speech-language pathologists' (SLPs') consideration of incorporation of genetics in clinical practice using a theory-informed qualitative approach.

Method:

Semistructured interviews were conducted with 12 pediatric SLPs using a behavior change theory (Theoretical Domains Framework [TDF]) within a case study describing a child with complex co-occurring features, including childhood apraxia of speech. Interviews focused on three stages of the patient journey (prereferral, referral, and postreferral). Interviews were analyzed to identify barriers and enablers to considering incorporation of genetics in current clinical practice. Barriers and enablers were grouped and mapped onto a contextually relevant TDF-coded analysis framework.

Results:

Barriers were identified across several TDF domains, through all stages of the patient journey. Lack of confidence, relevance, and level of experience were most common prereferral, and connection to and awareness of genetics services and contextual factors were barriers in the referral stage. Perception of professional role, knowledge, and beliefs about effects on families were barriers postreferral. Associated enablers were also identified, including seeing value in genetic diagnosis, support from other health care professionals, supervision, and relationships with genetics services.

Conclusions:

Results of this qualitative study highlight barriers and enablers to incorporating genetics into speech-language pathology clinical practice. These findings will assist in the development of theory-informed implementation strategies to support SLPs into the future.

Supplemental Material:

https://doi.org/10.23641/asha.24112800
A review of design frameworks for human‐cyber‐physical systems moving from industry 4 to 5
Authors: van‐Lopik Katherine , Hayward Steven , Grant Rebecca , McGirr Laura , Goodall Paul , Jin Yan , Price Mark , West Andrew A. , Conway Paul P.
Published: September 2023

Within the Industry 4.0 landscape, humans collaborate with cyber and physical elements to form human‐cyber‐physical systems (HCPS). These environments are increasingly complex and challenging workspaces due to increasing levels of automation and data availability. An effective system design requires suitable frameworks that consider human activities and needs whilst supporting overall system efficacy. Although several reviews of frameworks for technology were identified, none of these focused on the human in the system (moving towards Industry 5). The critical literature review presented provides a summary of HCPS frameworks, maps the considerations for a human in HCPS, and provides insight for future framework and system development. The challenges, recommendations, and areas for further research are discussed.
Robust multi‐objective model predictive control for constrained nonlinear systems with disturbances
Authors: Wu Jie , Xue Jingyuan , Liu Fei
Published: September 2023

This work develops a new robust multi‐objective model predictive control (MoMPC) strategy for constrained non‐linear systems with bounded disturbances. The multiple objectives are always contradictory, and the presence of disturbances may result in the violation of state constraints and instability of the controlled system. Firstly, the conflict between multiple objectives is reconciled by minimizing the distance of the cost function vector to the vector of independently minimised objectives obtained by solving a set of steady‐state optimisation problems. Then the contractive state set, which takes into account the effect of disturbances on system states, is constructed to guarantee the robust satisfaction of state constraints. Finally, a stability constraint updated online by solving an auxiliary optimization problem is established to ensure the robust stability of the system under MoMPC. An isothermal chemical reactor system is employed to verify the effectiveness of the controller proposed here.
A holistic human activity recognition optimisation using AI techniques
Authors: Li Zhenghui , Liu Yushi , Liu Bo , Le Kernec Julien , Yang Shufan
Published: September 2023

Building on previous radar‐based human activity recognition (HAR), we expand the micro‐Doppler signature to 6 domains and exploit each domain with a set of handcrafted features derived from the literature and our patents. An adaptive thresholding method to isolate the region of interest is employed, which is then applied in other domains. To reduce the computational burden and accelerate the convergence to an optimal solution for classification accuracy, a holistic approach to HAR optimisation is proposed using a surrogate model‐assisted differential evolutionary algorithm (SADEA‐I) to jointly optimise signal processing, adaptive thresholding and classification parameters for HAR. Two distinct classification models are evaluated with holistic optimisation: SADEA‐I with support vector machine classifiers (SVM) and SADEA‐I with AlexNet. They achieve an accuracy of 89.41% and 93.54%, respectively. This is an improvement of ∼11.3% for SVM and ∼2.7% for AlexNet when compared to the performance without SADEA‐I. The effectiveness of our holistic approach is validated using the University of Glasgow human radar signatures dataset. This proof of concept is significant for dimensionality reduction and computational efficiency when facing a multiplication of radar representation domains/feature spaces and transmitting/receiving channels that could be individually tuned in modern radar systems.
A novel system to control and forecast QoX performance in IoT‐based monitoring platforms
Authors: Martinez‐Caro Jose‐Manuel , Tasic Igor , Cano Maria‐Dolores
Published: September 2023

Communication architectures based on the Internet of Things (IoT) are increasingly frequent. Commonly, these solutions are used to carry out control and monitoring activities. It is easy to find cases for manufacturing, prediction maintenance, Smart Cities, etc., where sensors are deployed to capture data that is sent to the cloud through edge devices or gateways. Then that data is processed to provide useful information and perform additional actions if required. As crucial as deploying these monitoring solutions is to verify their operation. In this article, we propose a novel warning method to monitor the performance of IoT‐based systems. The proposal is based on a holistic quality model called Quality of X (QoX). QoX refers to the use of a variety of metrics to measure system performance at different quality dimensions. These quality dimensions are data (Quality of Data, QoD), information (Quality of Information, QoI), users' experience (Quality of user Experience, QoE), and cost (Quality Cost, QC). In addition to showing the IoT system performance in terms of QoX in real‐time, our proposal includes (i) a forecasting model for independent estimation of QoX applying Deep Learning (DL), specifically using a Long Short‐Term Memory (LSTM) and time series, and (ii) the warning system. In light of our results, our proposal shows a better capacity to forecast quality drops in the IoT‐based monitoring system than other solutions from the related literature.
Assessment of the CRD approximation for the observer’s frame RIII redistribution matrix
Authors: Riva Simone , Guerreiro Nuno , Janett Gioele , Rossinelli Diego , Benedusi Pietro , Krause Rolf , Belluzzi Luca
Published: September 2023

Context. Approximated forms of the RII and RIII redistribution matrices are frequently applied to simplify the numerical solution of the radiative transfer problem for polarized radiation, taking partial frequency redistribution (PRD) effects into account. A widely used approximation for RIII is to consider its expression under the assumption of complete frequency redistribution (CRD) in the observer’s frame (RIII−CRD). The adequacy of this approximation for modeling the intensity profiles has been firmly established. By contrast, its suitability for modeling scattering polarization signals has only been analyzed in a few studies, considering simplified settings.

Aims. In this work, we aim to quantitatively assess the impact and the range of validity of the RIII−CRD approximation in the modeling of scattering polarization.

Methods. We first present an analytic comparison between RIII and RIII−CRD. We then compare the results of radiative transfer calculations, out of local thermodynamic equilibrium, performed with RIII and RIII−CRD in realistic one-dimensional atmospheric models. We focus on the chromospheric Ca I line at 4227 Å and on the photospheric Sr I line at 4607 Å.

Results. The RIII−CRD approximation provides accurate results for the Ca I 4227 Å line. Only when velocities are included can some appreciable discrepancies be found, especially for lines of sight close to the disk center. The approximation performs well also for the Sr I 4607 Å line, especially in the absence of magnetic fields or when a micro-turbulent field is included. However, some appreciable errors appear when deterministic magnetic fields or bulk velocities are considered.

Conclusions. Our results show that the RIII−CRD approximation is suited for the PRD modeling of the scattering polarization signals of strong chromospheric lines, both in the core and wings. With a few minor exceptions, this approximation is also suitable for photospheric lines, although PRD effects generally play a minor role in their modeling.
Dust attenuation law in JWST galaxies at z ∼ 7–8
Authors: Markov V. , Gallerani S. , Pallottini A. , Sommovigo L. , Carniani S. , Ferrara A. , Parlanti E. , Di Mascia F.
Published: September 2023

Context. Understanding the wavelength dependence of dust attenuation is vital for inferring the properties of galaxies from their spectral energy distribution (SED) fitting. The dust attenuation curves in star-forming galaxies depend on the complex interplay between the intrinsic physical dust properties and dust-to-star geometry. Due to the lack of observational constraints at high redshift, dust attenuation and extinction laws measured in the local Universe (e.g., the Calzetti attenuation law and the Small Magellanic Cloud and Milky Way extinction laws) have been employed to describe the dust attenuation at early epochs.

Aims. We exploit the high sensitivity and spectral resolution of the James Webb Space Telescope (JWST) to constrain dust attenuation laws in z ∼ 7–8 galaxies. Our goals are to: i) check whether dust attenuation curves at high-z differ from the ones measured in the local Universe and ii) quantify the dependence of the inferred galaxy properties on the assumed dust attenuation law.

Methods. We developed a modified version of the SED fitting code BAGPIPES by including a detailed dust attenuation curve parameterization. We applied our method to the JWST Near Infrared Spectrograph (NIRSpec) spectra in the ∼0.6–5.3 µm range to probe the nebular line (Hα, Hβ, Hγ, [O II] λ3727, [O III] λλ4959, 5007, [Ne III] λ3869) and continuum emissions of three star-forming galaxies at z = 7–8. Dust attenuation parameters and global galaxy properties are derived from the fit to the data.

Results. We find that the attenuation curves of the analyzed high-z galaxies differ from local templates. One out of the three galaxies shows a characteristic 2175Å bump, typically associated with the presence of small carbonaceous dust grains such as polycyclic aromatic hydrocarbons (PAHs). This is among the first pieces of evidence suggesting the presence of PAHs in early galaxies. Galaxy properties such as the stellar mass (M*) and star formation rate (SFR) inferred from the SED fitting are affected by the assumed attenuation curve (with deviations of up to ∼0.35 dex), however, the adopted star formation history plays the dominant role (up to ∼0.4 dex for the same galaxy properties).

Conclusions. Our results highlight the importance of accounting for the potential diversity among dust attenuation laws when analyzing the spectra of high-z galaxies, whose dust properties and dust-to-star geometry are still poorly understood. The application of our method to a larger sample of galaxies observed with JWST can provide important insights into the properties of dust and galaxies in the early Universe.
Robotic Processes Automation to Improve Business Process Automation: A Systematic Literature Reviews
Authors: Gunawan Ali
Published: September 2023

Technological developments have been very fast since 2000 until now, and there are many information system applications in all corners of the world. Now, many services to customers or the public are provided by companies, from small to enterprise software, and many institutions already use the platform— digital services to serve customers and society. Industry 4.0 is the fourth industrial revolution since 2010, where technology and accelerated processes have used automation and are accelerating. This technology is Robotic Process Automation (R.P.A) which could automate many organizational business processes and use Artificial Intelligence (AI) algorithms and techniques. Complementarity makes it possible to increase the accuracy, efficiency, effectiveness, and implementation of automation processes in business processes, in recognition, classification, forecasting, and process optimization. This study aims to provide research information on the application of R.P.A related to AI, which can contribute to improving organizational processes related to Industry 4.0. Researchers found that automation with R.P.A has been widely applied in various industries, various implementations of R.P.A Technology have been carried out, and many publishers have published on this topic.
Fusion of pretrained CNN models for cat breed classification: A comparative study
Authors: Hamdi Emmanuel Brandon , Sunaryo Jayson Adrian , Prasetyo Simeon Yuda
Published: September 2023

Cat is one of the most popular domestic animals that human has domesticated for a long time, since then, there have been many breeds that can be difficult to identify with each breed having different health issues and care requirement, to resolve this problem we used Convolutional Neural Network (CNN) a widely used artificial intelligence deep learning model that has been used in many image classification problem, in this study we explored 11 different types of CNN-Based model architecture to be used in a fusion-based technique and fine-tune the model to further increase its performance, our results show that fusion model is a promising technique in classifying cat breeds that outperforms all of the individual CNN- Based model architecture with the 3 fusion model having an accuracy of 0.9053, precision of 0.9075, recall of 0.9053, and F1 score of 0.9016, additionally, fine-tuning only shows a small effect in increasing the fusion model performance.
Understanding The Net Benefit of Using a Food Delivery Application: Post Application of Platform Fee
Authors: Sundjaja Arta Moro , Wangsa Andrean
Published: September 2023

This research is conducted to find the factors that affect repurchase intentions in food delivery service applications. The methods used to gather data in this research are questionnaires, interviews, and literature studies, while methods used to analyze data would be the SEM-PLS using the SmartPLS 3.0 software and with the framework “The information systems success model” created by Delone and McLean. Three hundred forty-five responses from the questionnaire were tested for validity and reliability, and the results show that the research data were valid. Based on the results, it is found that some of the variables show significant and insignificant effects. The variables quality information – use of the application, service quality – user satisfaction, system quality – use of the application, system quality – user satisfaction, use of application – net benefit, use of application – user satisfaction, and user satisfaction – net benefit has a significant outcome proofing that these relations between variables have a huge effect on repurchase intention. However, on the other hand, the relationship of variables quality information – user satisfaction, and service quality – use of application does not show a significant effect on their relation between variables.
The Influence of Technology to Hand Writing Chinese Character Ability
Authors: Ying Yi , Chandra Mei Rianto , Susilo Putri Mustika , Juniana
Published: September 2023

Nowadays students mostly used a pinyin input method to study Chinese, which had adverse effects on their Chinese character writing skills. The research method using qualitative method, where the researcher gave two types of tasks to 58 students, some of whom used the pinyin input method and some who did not. According to the findings, there are 67.25% of the students (38 out of 58) making errors when writing by hand. These errors included 47.44% of errors related to similarities between Chinese characters, which could be categorized into three types: word formation similarities (5%), character component similarities (15.25%), and single letter similarities (27.11%). Additionally, 25% of the errors were sound equation errors, such as “�” as “_f” (“shì”). Furthermore, 27% of the errors were related to the formation of new Chinese characters. When the students used the pinyin input method, the percentage of errors decreased significantly to 25.86%, most of the errors made using this method were due to word selection errors (60%) and vowel errors (40%). The research suggests that using the pinyin input method may have a negative impact on students’ motivation to write Chinese characters, which, in turn, can affect their handwriting skills.
Point of view from multiple perceptions about Metaverse ecosystem
Authors: Millahibrahim Rebecca , Kerin  , Hendratno Setiani Putri
Published: September 2023

The Metaverse has experienced rapid growth in recent years. In 2021, interest in Metaverse skyrocketed. The term “metaverse” refers to a computer-generated world that blends the physical and digital realms and allows users to engage with virtual characters on the internet, trading, or even investing. However, there is limited research about the Metaverse ecosystem, whether its development or the measurement for the digital assets—especially NFTSs and Cryptos. Therefore, researchers perform a qualitative method using a semi-structured interview method and thematic analysis method. The interviews are conducted with individuals who play interactive games or holders of NFTs, Crypto, or any digital assets or expertise. Thirty respondents participated in this research. According to participants’ perception, since there are no specific accounting standards related to this, the accounting treatment and the valuation of these assets are adjusted to the existing standards depending on the intention or the purpose of the holder or entity towards the asset. Apart from that, most participants agree that the development of the Metaverse is also still constrained, it requires the right solution so that Metaverse can become a platform that the public can expect as it should be.
The Significance Influence of Pancasila Education and Religion Education on the Formation of Pancasila Student Profile by Hybrid Learning
Authors: Benawa Arcadius , Sihombing Adison Adrianus
Published: September 2023

With the rapid development and progress of science and technology, there is almost no place where a hybrid learning system cannot be implemented, namely onsite or face-to-face learning and online learning via zoom meetings or Google meet or other online media, and it is no exception for Tri Mulya Junior High School at Cigugur, Kuningan, West Java, Indonesia. Therefore, this research can be carried out with the main objective to find out how significant the influence of Pancasila Education and Religion Education, in this case the Sundanese Wiwitan Religion, are on the formation of Pancasila student profile, which now is being promoted by the Ministry of Education and Culture of the Republic of Indonesia? This simple study was designed using a quantitative method by distributing questionnaires to 35 students who are the total number of the students at Tri Mulya Junior High School . From the data obtained, after being processed with the SPSS 22 software program, it was found that Pancasila Education and Religion Education had a very significant influence on the Formation of Pancasila Student Profile for the students at Tri Mulya Junior High School, Cigugur, Kuningan, West Java, Indonesia.
Modifying Theory of Reasoned Action to Determine Online Mutual Fund Investor Behavior
Authors: Sari Rini Kurnia , Hartono Angelika , Susanto Riovaldi
Published: September 2023

Market penetration for mutual fund investments is still very low compared to other investment instruments such as deposits, gold, property, stocks, and peer-to-peer lending. Thus, the opportunity for mutual fund investment to develop in Indonesia is still very large. This study was conducted to determine what factors influence the behavior of online mutual fund investors by modifying the theory of reason action. The factors used to measure the behavior of online mutual fund investors are investor attitudes, subjective norms, financial literacy, financial performance, and investment intentions. The survey was conducted online to respondents from various regions in Indonesia. Sampling of 1117 respondents using the purposive sampling method. The results showed that partially investor attitudes, subjective norms, financial literacy, financial performance have a positive and significant effect on investment intentions. Investment intention as a mediating variable has a positive and significant relationship to consumer behavior. The results of this study are expected to be used by mutual fund sellers who are expected to be able to implement effective marketing strategies that can increase their managed funds and increase the number of online mutual fund customers in Indonesia, as well as increase the attractiveness of these mutual funds.
Smart Mechanical Ventilation and Artificial Lighting Implementation in the Restroom for Energy Efficiency
Authors: Pramono Andi , Primadani Tiara Ika Widia , Febriantono M. Aldiki
Published: September 2023

The window is one of the most important aspects of a building. It aims to obtain good lighting and meet the requirements for Indoor Air Quality. A restroom is a place where most surfaces are wet, and it causes the relative humidity to become high. As a result, lighting must be considered in this space. The men’s toilet on the second floor of the Bina Nusantara University campus in Malang is the subject of this research. Interviews with building operators, cleaners and firsthand surveys of the location were also undertaken. The author used the results of interviews to help specify the ventilation system. The author utilizes a lux meter to measure the lighting layout. According to the findings, this toilet uses mechanical ventilation in the form of an exhaust fan. On the other hand, this area employs downlights that meet lighting standards in terms of brightness and color temperature selection in the artificial lighting system. In the current situation, there is a shortage of energy efficiency. As a result, this study offers a method for preserving electrical energy. This study uses an Arduino Mega and several sensors to help automate the operation of these electrical devices.
Understanding herding behavior among Indonesian stock market investors
Authors: Trisno Brian , Vidayana
Published: September 2023

This paper examined the factors that affect investor herd behavior. Herd behavior bias is a well- known phenomenon in financial markets in which individuals blindly follow the investing decisions of others without understanding the fundamental principles of investment. While extensive research has explored herd behavior in financial markets, there remains a significant research gap in understanding herding behavior at the level of individual investors. Previous studies have primarily focused on herding behavior within market contexts, neglecting the examination of specific factors that influence herding behavior among individual investors. Using a sample of 217 Indonesian investors this study investigates the factors that influence herding behavior. The findings showed that stock influencer credibility had a significant positive impact on herd behavior bias, suggesting that investors with high trust in stock influencers were likely to follow the herd. Financial literacy also had a significant negative impact on herd behavior bias, indicating that investors with higher financial knowledge are less likely to herd. However, financial literacy was found to have a significance towards herding behavior when mediated through risk perception. Lastly, risk perception had a significant positive impact on herd behavior bias, indicating that investors with higher risk perception are more likely to follow the herd. This study contributes to the existing literature by enhancing our understanding of herd behavior dynamics among investors, specifically at the individual level. By exploring the factors that influence herding behavior, it provides valuable insights into the mechanisms that drive this bias. The findings highlight the importance of targeted financial education programs and regulatory measures to address herding behavior bias among Indonesian investors, focusing on enhancing financial literacy and reducing risk perception.
The Impact of Environmental Performance on Environmental Disclosure, moderated by Company Characteristics
Authors: Nur Triasesiarta , Panggabean Rosinta Ria
Published: September 2023

Sustainability issues have increased the need for stakeholders toward environmental information disclosure. Environmental information is pivotal for stakeholders to assess a firm’s environmental performance. A firm’s environmental performance significantly influences a firm’s environmental properly. This study examines the influence of a firm’s environmental performance on Firm environmental disclosure, moderated by the firm’s characteristics. The study involved fifty listed firms on Indonesia Stock Exchange (IDX) and PROPER participants (Company Performance Rating Program in Environmental Management) from 2017 to 2020. The firm’s characteristics in this study refer to size, profitability, and leverage. The estimated Generalized least square panel regression test indicated that firm environmental performance significantly explains the variance of environmental disclosure. The influence of firm environmental performance on firm environmental disclosure is significantly moderated by profitability and firm size.
Mapping of E-Entrepreneurship Research: Bibliometric Review
Authors: Purnomo Agung , Afia Nur , Rosyidah Elsa , Maulana Fairuz Iqbal , Sugiantoro Annisa Dina Shalsabilla
Published: September 2023

E-entrepreneurship has gotten more attention. E-entrepreneurship is the harmonization of electronic business elements with entrepreneurial activities and the use of information technology in entrepreneurship. E-entrepreneurship roles have fundamentally altered economic growth, industrial progress, and societal sustainability. This study aims to map e-entrepreneurship research at the global level. To achieve this, 182 relevant international publications from 1995 to 2021 were mapped using bibliometric analysis with Scopus and VOSviewer. The results show an increasing trend and evolution of literature related to e-entrepreneurship. This research study indicates that Kollmann, T., and Universität Duisburg- Essen were the most productive individual researcher and research institutions in e-entrepreneurship. The most prolific researcher in the entrepreneurship area was usually from UK affiliates. The United States was a leading research country on e-entrepreneurship. This study proposes a conceptual framework from the IBEEE research theme for the e-entrepreneurship topic based on the keyword cluster categorization of innovation and policy, business, entrepreneurship, entrepreneurial process, and e-business. The IBEEE research theme can be used to develop e-entrepreneurship studies in the future.
The Impacts of English on Business Training: Financial Sector Employees’ Perceptions in Jakarta, Indonesia
Authors: Michael  , Moloney Martin James
Published: September 2023

English is widely used in many areas of life, including business. This condition of using English as a lingua franca also exists in Indonesia. Employees must be prepared to embrace the English language while doing business with overseas companies or employing expats. As a result, employees may find themselves in need of English language training. English employee training is becoming more popular, and more firms are beginning to give it to their employees. Despite its growing popularity, few studies have examined the outcomes and effectiveness of such staff training. This case study investigates employees’ perspectives on English for business training to deepen studies on this subject, particularly in the Indonesian context. This qualitative study used one-on-one interviews with 30 participants from three English for Business training programs to collect data. The findings revealed that English for Business training had a favorable impact on employees and their work performance. This research could help businesses give and facilitate more English training to help their staff grow.
The effect of promotion, expenditure budgeting, and consumptive behavior on Indonesians’ intention of using GoPay or ShopeePay
Authors: Tan Vionita , Renata Virginia Novtacia
Published: September 2023

Unavoidable technological advancements have resulted in new transaction solutions, one of which is the e-wallet. To avoid unnecessary expenses, the use of e-wallets should be accompanied by mental accounting knowledge. GoPay and ShopeePay are two popular e-wallets in Indonesia that will be examined in this study. Using prospect theory and the Technology Acceptance Model (TAM) as theoretical foundations, this study aims to determine the influence of three mental accounting characteristics, such as promotion, expenditure budgeting, and consumptive behavior, on the intention to use GoPay or ShopeePay. After distributing online questionnaires and collecting 291 responses, the data were tested using SmartPLS 3.2.9 software. According to the findings, promotion, expenditure budgeting, and consumptive behavior have a significant positive effect on the intention to use GoPay or ShopeePay. First, the greater the number of promotions offered, the greater the purchase intention through GoPay or ShopeePay. Second, people who budget their expenditure will frequently use GoPay or ShopeePay because they need to maintain their financial stability by using the provided features. Finally, consumptive behavior is motivated by social status or personal pleasure which increases the intention of using GoPay or ShopeePay because it is enjoyable.
Financial and digital literacy effects on digital investment decision mediated by perceived socio-economic status
Authors: Furinto Asnan , Tamara Dewi , Yenni  , Rahman Nia Janira
Published: September 2023

This research aimed to examine the effects of financial and digital literacy as a fundamental aspect that influence the decision in making digital investment which is mediated by perceived socio- economic status. Prior research of how socio-economic affects digital and financial literacy which influence investment decision making process has widely been discussed over the time. However, most studies were focused on ‘objective’ socio-economic status as a part of a measurable factor which affects literacy level. On the other hand, there is another key element that needs to be deepened further, that is ‘perceived’ socio- economic status. In addition, specific discussion on ‘digital’ investment decisions and how it is influenced by the perception of digital investors which correlated with digital and financial literacy factors are also still limited. The trend of digital investors has risen along with the growing financial technology market, especially for millennials. This study’s results will contribute to policy makers, digital investors, and especially for digital investment companies to formulate go-to-market strategy. This research used a convenient sampling and gathered data through an online questionnaire survey from 116 individual investors. Multiple regression using SmartPLS version 4.0 was applied to analyze the data and test the research model. The results show that financial literacy and digital literacy positively affects digital investment decision throughout perceived socio-economic status as a mediator that also has a positive impact to digital investment decision.
The U.S. Quantitative Easing Policy During the COVID-19 Pandemic and Its Influence on the Growing Number of Indonesian Retail Investors
Authors: Aswata Muhammad Ariq , Affandi Roseno Aji
Published: September 2023

This research aims to determine whether the quantitative easing policy issued by the United States government to boost the United States economy during the Covid-19 pandemic has impacted stock price volatility on the Indonesia Stock Exchange (IDX), which resulted in the increasing number of individuals (retail) investors on the Indonesia Stock Exchange increased. The quantitative easing policy taken by the United States government in 2020 to ease the economic burden during the COVID-19 pandemic made JCI volatility high, eventually affecting individual (retail) investors seeking opportunities in the high volatility of the Indonesian capital market. This research examines using the theory of Financial Structure power by Susan Strange and used publicly available data as secondary data and primary data taken through observations of the Indonesian stock market or JCI and interviews with experts to find whether the U.S. quantitative easing policy had an influence on the growing number of new retail investors in Indonesia during the COVID-19 pandemic. This research discovered that the U.S. quantitative easing policy had indirect influence on the growing number of new retail investors in Indonesia during the COVID-19 pandemic. For future research, economic standpoints and theories are needed to get better analysis for this topic.
Development and characterization of microsatellite markers for the tsetse speciesGlossina brevipalpisand preliminary population genetics analyses
Authors: Gstöttenmayer Fabian , Moyaba Percy , Rodriguez Montse , Mulandane Fernando C. , Mucache Hermógenes N. , Neves Luis , De Beer Chantel , Ravel Sophie , De Meeûs Thierry , Mach Robert L. , Vreysen Marc J. B. , Abd-Alla Adly M.M.
Published: September 2023

Tsetse flies, the vectors of African trypanosomes are of key medical and economic importance and one of the constraints for the development of Africa. Tsetse fly control is one of the most effective and sustainable strategies used for controlling the disease. Knowledge about population structure and level of gene flow between neighbouring populations of the target vector is of high importance to develop appropriate strategies for implementing effective management programmes. Microsatellites are commonly used to identify population structure and assess dispersal of the target populations and have been developed for several tsetse species but were lacking forGlossina brevipalpis. In this study, we screened the genome ofG. brevipalpisto search for suitable microsatellite markers and nine were found to be efficient enough to distinguish between different tsetse populations. The availability of these novel microsatellite loci will help to better understand the population biology ofG. brevipalpisand to assess the level of gene flow between different populations. Such information will help with the development of appropriate strategies to implement the sterile insect technique (SIT) in the framework of an area-wide integrated pest management (AW-IPM) approach to manage tsetse populations and ultimately address the trypanosomoses problem in these targeted areas.
On two variants of split graphs: 2-unipolar graph and k-probe-split graph
Authors: Grippo Luciano N. , Moyano Verónica A.
Published: September 2023

A graph is called split if its vertex set can be partitioned into a stable set and a clique. In this article, we studied two variants of split graphs. A graph G is polar if its vertex set can be partitioned into two sets A and B such that G[A] is a complete multipartite graph and G[B] is a disjoint union of complete graphs. A 2-unipolar graph is a polar graph G such that G[A] is a clique and G[B] is the disjoint union of complete graphs with at most two vertices. We present a minimal forbidden induced subgraph characterization for 2-unipolar graphs. In addition, we show that they can be represented as an intersection of substars of special cacti. Let G be a graph class, the G-width of a graph G is the minimum positive integer k such that there exist k independent sets N1, … , Nk such that a set F of nonedges of G, whose endpoints belong to some Ni with i = 1, … , k, can be added so that the resulting graph G′ belongs to G. We say that a graph G is k-probe-G if it has G-width at most k and when G is the class of split graphs it is denominated k-probe-split. We prove that deciding, given a graph G and a positive integer k, whether G is a h-probe-split graph for some h ≤ k is NP-complete. Besides, a characterization by minimal forbidden induced subgraphs for 2-probe-split cographs is presented.
Efficacy of a novel integrated biliary stent and nasobiliary catheter system for accidental tube deviation in biliary drainage
Authors: Yamaguchi Atsushi , Kato Naohiro , Sugata Syuhei , Hamada Takuro , Furuya Nao , Mizumoto Takeshi , Tamaru Yuzuru , Kusunoki Ryusaku , Kuwai Toshio , Kouno Hirotaka , Kohno Hiroshi
Published: September 2023

Background and study aims Endoscopic nasobiliary drainage is accompanied by a risk of accidental removal of the nasobiliary drainage (NBD) tube, especially through self-removal in elderly patients. We studied the usefulness of an integrated biliary stent and nasobiliary catheter system (UMIDAS NB stent) for biliary drainage in case of accidental NBD tube removal.

Patients and methods From April to November 2022, we placed a UMIDAS NB stent in 30 patients with acute cholangitis or obstructive jaundice. We evaluated the plastic stent (PS) position at the time of accidental stent removal and before the planned endoscopic procedure. In addition, we studied the ratio of successful biliary drainage and complications based on the usage of UMIDAS.

Results All 11 patients with accidental stent removal exhibited correct PS position in X-ray fluoroscopy. Of the 19 patients with planned NBD tube removal, three had complete PS migration into the common bile duct and three had incomplete migration (the duodenal side flap entered the bile duct). In summary, 80% (24/30) of PS were in the correct position, and all patients had successful biliary drainage and no complications.

Conclusions The UMIDAS NB stent might be useful for biliary drainage in patients with a high risk of NBD tube self-removal.
Impacts of Knee Arthroplasty on Activity Level and Knee Function in Young Patients: A Systematic Review
Authors: Williams Jonathan , Albuquerque II João B. de , Nuelle Clayton W. , Stannard James P. , Cook James L.
Published: September 2023

The annual demand for knee arthroplasty has been steadily rising, particularly in younger patients. The primary objective of this systematic review was to determine the impact of knee arthroplasties on knee function and activity levels in young (≤55 years) patients. A PubMed search from inception (1977) to March 2022 to identify eligible studies produced 640 peer-reviewed studies for consideration. A total of 18 studies including 4,186 knee arthroplasties in 3,200 patients (mean patient age at the time of surgery: 47.4 years, range: 18–55 years) were ultimately included for analysis. Mean final follow-up (FFU) duration was 5.8 years (range: 2–25.1 years). Mean FFU improvement in Knee Society Clinical Score was 48.0 (1,625 knees, range: 20.9–69.0), Knee Society Function Score was 37.4 (1,284 knees, range: 20–65). Mean FFU for the Tegner and Lysholm activity scale was 2.8 (4 studies, 548 knees, range: 0.7–4.2); University of California Los Angeles Physical Activity Questionnaire score was 2.8 (3 studies, 387 knees, range: 1.2–5); lower extremity activity scale was 1.84 (529 knees). The available evidence suggest that young patients typically realize sustained improvements in knee function compared to preoperative levels; however, these improvements do not typically translate into a return to desired activity levels or quality of life, and this patient population should expect a higher and earlier risk for revision than their older counterparts. Further research, including robust registry data, is needed to establish evidence-based indications, expectations, and prognoses for outcomes after knee arthroplasty in young and active patients.
Accuracy of Conventional Instrumentation is Dependent on Alignment Philosophy Using the Identical Surgical Technique in Total Knee Arthroplasty
Authors: Koutp Amir , Clar Clemens , Leitner Lukas , Fischerauer Stefan , Reinbacher Patrick , Leithner Andreas , Klasan Antonio , Sadoghi Patrick
Published: September 2023

The objective of this prospective study was to assess the precision of restoring the anatomical tibial obliquity, as measured by the medial proximal tibial angle (MPTA) on conventional X-rays, in relation to the surgical technique employed. Specifically, the study aimed to compare the accuracy of tibial obliquity restoration between kinematic alignment (KA) and conventional mechanical alignment (MA) in total knee arthroplasty (TKA). Two-hundred-and-sixty patients underwent either mechanically aligned TKA (n = 139) or kinematically aligned TKA (n = 121) using conventional instrumentation (CI). Pre- and postoperative X-rays were measured twice by two observers, with a 2-week interval. Inter- and intraclass correlations were calculated, and postoperative tibial obliquity was compared to the preoperative anatomy. In the group of 139 patients with mechanically aligned TKA, no cases with an MPTA deviation greater than 1 degree from 90 degrees were observed. Sixteen percent of the cases (n = 22) had a deviation of 0 to 1 degree. The remaining 84% of the cases (n = 117) had their MPTA of 90 degrees achieved. In the group of 121 patients with kinematically aligned TKA, no cases had a deviation greater than 1 degree compared with the preoperative MPTA. Thirty-one percent of the cases (n = 37) had a deviation of 0 to 1 degree with respect to preoperative MPTA. The remaining 69% of the cases (n = 84) had their tibial obliquity restored. Mechanically aligned TKA revealed statistically significant smaller deviations of accuracy compared to kinematically aligned TKA (p = 0.005). The inter- and intraclass correlations indicated substantial agreement of all measurements (intraclass correlation coefficient [ICC] < 0.90). Both mechanically aligned and kinematically aligned TKA demonstrated satisfactory outcomes in terms of restoring tibial obliquity or a neutral MPTA of 90 degrees using CI. However, MA showed superior results regarding precision compared to KA. When starting with kinematical alignment using CI, the surgeons should be aware that the learning curve according to accuracy differs to MA. It was a Prospective Level II study.
Management of Lateral Wall Insufficiency
Authors: Liu Sara W. , Lyford-Pike Sofia
Published: September 2023

Lateral wall insufficiency is a commonly encountered etiology of nasal obstruction, resulting from dynamic collapse at the level of the internal or external nasal valve. Various management strategies exist to strengthen the lateral wall or stent the nasal valves to relieve nasal obstruction, and range from noninvasive devices, minimally invasive implants, or surgical reconstructive techniques. Surgical options to address the nasal valves are selected based on each patient's anatomic findings, aesthetic and functional goals, and surgeon preference. This article describes the anatomy and physiology of the nasal sidewall and nasal valves and diagnosis of lateral wall insufficiency, and provides a framework for treatment options.