Miracle-dz/UniFAR-FTUs huggingface dataset:
Internet Banking Technology Acceptance Model: A Focus on Hofstede Cultural Dimensions

By rapidly increasing in penetration rate of Internet banking, exploring the factors which can influence Internet banking adoption is important. Although based on the prior studies, security is the most important items in terms of online transaction, culture and beliefs can be effective factors too. The purpose of this study is exploring the role of culture in technology acceptance; therefore, the technology acceptance model (Davis, 1989) and Hofstede cultural dimensions (power distance, uncertainly avoidance, and individualism/collectivism) are used to draw framework of this study. More than twenty countries from five continents in Malaysia participated in this study. So as to develop hypothesis a table with twelve cells is designed based on the Hofstede scores for each country according to its cultural dimensions. Three ways analysis of variances is used to analyze the data. Findings of this study declared that Hofstede cultural dimensions (PDI, IND/CLV and UAI) can affect technology acceptance model items (usefulness, ease of use, subjective norm and perceived behavioral control) in different levels. This study proves the needs of cross-cultural when TAM wants work on wide range of cultures, besides, developing TAM constructs to be fit it with different cultures are recommendation of this study. Unique findings of this study can be used as a guideline for managers in multinational countries in order to upgrade or implement a new technology based on corporate culture.
Reconfiguring Cell Selection in 4G/5G Networks

In cellular networks, cell selection plays a critical role in providing and maintaining ubiquitous radio access. It follows standardized procedures with operator-specific polices pre-configured by tunable parameters. These parameters specify the criteria to determine whether and how to select new serving cell(s), thus impacting access quality and user experience. Recent studies reveal that today’s cell selection fails to offer good performance as it can. This is because it is configured for seamless connectivity, and thus performance is offered at "best effort". In this work, we attempt to re-configure these parameters by taking performance into consideration. We first conduct a measurement study in one big city in the US to demonstrate that reconfiguration indeed helps improve the overall performance, without compromising connectivity. This implies that 4G/5G networks are capable of offering better performance but such potentials are under-utilized in practice. We further explore proactive reconfiguration to prevent such unnecessary performance losses. We examine technical challenges, factors and even limitations to reconfigure cell selection in a standard-compatible manner, and finally devise a simple reconfiguration algorithm based on profiling and heuristic searching to efficiently pursue promising performance gains. The evaluation over AT&T and T-Mobile in two US cities has validated its effectiveness. Performance gains outweigh losses. Reconfiguration boosts data speed in more than 30% of instances, which exceeds the ratio of losses by at least 16%; The median speed gain is at least 89.1% (up to 217 fold).
Metamaterial applications in RFID

In this article, we discuss various requirements of antenna design for passive radio frequency identification (RFID) tags, we outline a generic design process and show how RFID tags loaded with a metamaterial slab are able to increase the read range and to decouple the tag with the tagged objects. © 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 2745–2748, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24728
Enhancing seismic risk mitigation decisions: a motivational approach

Implementing seismic risk mitigation is a major challenge in many earthquake-prone regions, despite the availability of a significant number of risk reduction measures such as technical design solutions and regulatory frameworks that include building codes, policies and regulations necessary to facilitate successful risk reduction activities. However, building owners have been found unwilling to retrofit their earthquake-prone buildings. The objective of this research is to investigate how to enhance buildings owners’ earthquake hazard preparedness decisions by adopting a motivational approach in order to reduce their vulnerability to earthquake risks. A multiple case studies approach was adopted and interviews conducted with the various stakeholders involved in seismic adjustments decisions. Significant intrinsic and extrinsic interventions such as intensifying and promoting the use of critical awareness motivators, financial and property market-based incentives necessary to enhance building owners’ decisions were revealed from the analysis of the qualitative data. These revealed intrinsic and extrinsic interventions offer plausible explanations regarding how human motivational orientation can be used to influence disaster preparedness decisions by increasing the salience of seismic risk issues.
Comparison of wind turbine component damage computed by linear and fully non-linear fatigue methodologies

In the first case, fatigue damage is computed by a non-linear approach through direct Rain Flow Counts of mechanical stress cycles and application of the Palmgren-Miner rule. Mechanical stress cycles are computed directly in time domain by an aeroelastic wind turbine model which incorporates structural components in terms of Finite Element models which are partially condensed to Super Elements. In the second case, fatigue damage is computed by a linear spectral fatigue method, where the applied process excitations are described by Power Spectrum Density matrices of loads which are extracted from the transient analysis results of the aero-elastic wind turbine model.
Survey of the Relationship between humans needs levels and their level entrepreneurship (A case study: Marand city)

This article aims to investigate the relationship between employees needs level and their entrepreneurship. This study is descriptive correlation and applied. The statistical population consists of 1665 employees of industrial estates and production units in Marand city (Iran). The data were collected by interviews and author made questionnaire based on Maslow’s hierarchy of needs. Its validity in terms of professors and experts in this field has been confirmed. The validity of the questionnaire was confirmed by scholars view points and the reliability was obtained according to Cronbach's alpha. For analysis of the data SPSS software package was used. The research results suggest that there is a relationship among need to succeed, need to self-discovery, need to growth, livelihood needs, security needs and motivational needs and entrepreneurship levels, but there is no relationship between health needs and entrepreneurship levels.
Speaker anonymization solution for public voice-assistant interactions – Presentation of a Work in Progress Development

The use of voice assistants has rapidly grown in recent years. They can be found in millions of households. And a lot of effort has been made by researchers to improve the usage of these systems. One issue that remains open is the usage of voice assistants and recording of interactions for research purposes in public environments due to privacy concerns. Additionally, data collections, offering unconstrained, unscripted public interactions are quite rare and mainly only focus on transcribed content or have focused on private usage, short pre-deﬁned tasks, or spe-ciﬁc domains. The current paper presents an approach on how voice data recordings of user interactions with voice assistants in a public space can be recorded and processed in conformity with the GDPR.
Prevalence, Awareness, Treatment, and Control of Hypertension in the United Arab Emirates: A Systematic Review and Meta-Analysis

Background: Evidence for the prevalence, awareness, treatment, and control of hypertension in the United Arab Emirates (UAE) is limited. A systematic review and meta-analysis were conducted to summarize the existing knowledge regarding the prevalence, awareness, treatment, and control of hypertension in the UAE. Methods: We searched PubMed/MEDLINE, Embase, Scopus, and Google Scholar using prespecified medical subject handling (MeSH) terms and text words to identify the relevant published articles from 1 January 1995 to 31 August 2021. Population-based prospective observational studies conducted among healthy adult subjects living in the UAE and that defined hypertension using the guidelines-recommended blood pressure (BP) cut-offs ≥ 130/80 mmHg or ≥ 140/90 mmHg were considered. Results: Of 1038 studies, fifteen cross-sectional studies were included for data extraction involving 139,907 adults with a sample size ranging from 74 to 50,138 and with cases defined as blood pressure ≥ 140/90 mmHg. The pooled prevalence of hypertension was 31% (95% confidence interval (CI): 27–36), and a higher prevalence was observed in Dubai (37%, 95% CI: 28–45) than in the Abu Dhabi region (29%, 95% CI: 24–35) and in multicenter studies (24%, 95% CI: 14–33). The level of awareness was only 29% (95% CI: 17–42), 31% (95% CI: 18–44) for treatment, and 38% (95% CI: 19–57) had controlled BP (< 140/90 mmHg). Conclusion: This study revealed a high prevalence of hypertension with low awareness and suboptimal control of hypertension. Multifaceted approaches that include the systematic measurement of BP, raising awareness, and improving hypertension diagnoses and treatments are needed.
Data Center Cooling Efficiency With Simulation-Based Optimization

The efficient control of cooling for data centers is an issue of broad economic importance due to the significant energy consumption of data centers. Many solutions attempt to optimize the control of the cooling equipment with temperature, pressure, or airflow sensors. We propose a simulation-based approach to optimize the cooling energy consumption and show how this approach can be implemented with simple power-consumption models. We also provide a real-life case study to demonstrate how energy saving cooling setpoints can be found using calibrated simulations and smooth metamodels of the system.Copyright © 2015 by ASME
Identification of Digital Health Priorities for Palliative Care Research: Modified Delphi Study

Background Developments in digital health have the potential to transform the delivery of health and social care to help citizens manage their health. Currently, there is a lack of consensus about digital health research priorities in palliative care and a lack of theories about how these technologies might improve care outcomes. Therefore, it is important for health care leaders to identify innovations to ensure that an increasingly frail population has appropriate access to palliative care services. Consequently, it is important to articulate research priorities as the first step in determining how finite resources should be allocated to a field saturated with rapidly developing innovation. Objective The aim of this study is to identify research priority areas for digital health in palliative care. Methods We selected digital health trends, most relevant to palliative care, from a list of emerging trends reported by a leading institute of quantitative futurists. We conducted 2 rounds of the Delphi questionnaire, followed by a consensus meeting and public engagement workshop to establish a final consensus on research priorities for digital technology in palliative care. We used the views of public representatives to gain their perspectives on the agreed priorities. Results A total of 103 experts (representing 11 countries) participated in the first Delphi round. Of the 103 experts, 55 (53.3%) participated in the second round. The final consensus meetings were attended by 10.7% (11/103) of the experts. We identified 16 priority areas, which involved many applications of technologies, including care for patients and caregivers, self-management and reporting of diseases, education and training, communication, care coordination, and research methodology. We summarized the priority areas into eight topics: big data, mobile devices, telehealth and telemedicine, virtual reality, artificial intelligence, smart home, biotechnology, and digital legacy. Conclusions The priorities identified in this study represent a wide range of important emerging areas in the fields of digital health, personalized medicine, and data science. Human-centered design and robust governance systems should be considered in future research. It is important that the risks of using these technologies in palliative care are properly addressed to ensure that these tools are used meaningfully, wisely, and safely and do not cause unintentional harm.
On the Impact of priority-based MAC Layer Scheduling in 5G V2N multi-application Scenarios

The automotive market's ongoing shift towards connected and automated vehicles has enabled a multitude of new use cases enabled by Cellular Vehicle-to-Everything (C-V2X) communications. With the hyperconnectivity enabled by 5G, many new applications utilize Vehicle-to-Network (V2N) communications to deliver services with many objectives such as infotainment, advanced driving, etc. These different applications come with different configurations and Quality-of-Service (QoS) requirements that should be satisfied by the network. A base station could use the scheduler on the Media Access Control (MAC) layer to divide the available radio resources among all connected vehicles to satisfy these various requirements. In this paper, we focus on such MAC layer schedulers located in 5G gNodeBs. The scheduler has to handle four different application types of several connected vehicles simultaneously, considering new data packets and Hybrid Automatic Repeat reQuest (HARQ) retransmissions. For the prioritization of the different parallel services, we consider different approaches which all determine a scheduling priority differently and compare its impact on the application layer performance via network simulation in a real traffic scenario. One main part of our study is to integrate the 5G QoS model into the simulator to be able to use standardized values from 3GPP specification as a scheduling priority. We use the OMNeT++ framework 5G-Sim-V2I/N for this investigation. We present a detailed study on the performance of each of the various prioritization approaches and suggest a path forward on how to optimize the scheduler performance.
Low power, high reliability magnetic flip-flop

A new design of a non-volatile magnetic flip-flop is presented. The use of a magnetic tunnel junction (MTJ) to store the information brings non-volatility to logic circuits and promises zero standby power. It is based on the thermally assisted switching (TAS) approach and the pre-charge sense amplifier. By using STMicroelectronics' CMOS 0.13um design kit and a precise TAS-MTJ compact model, transient functional simulations and Monte Carlo statistical analysis have been carried out to show, respectively, its low power and high reliability performances.
Radio detection of extensive air showers-Measurements of the properties of cosmic rays with the radio technique — past, present, future

Radio detection of extensive air showers is a flourish technique, attracting more and more interest to investigate the properties of high-energy cosmic rays. Past, present, and future developments are reviewed. 1 Historical remarks The idea of radio detection of extensive air showers started in the 1940s at Jodrell Bank [1]. Blackett and Lovell suggested detecting air showers by the means of the radar echoes from the trail of ionization left behind the shower front as it passes though the atmosphere. Experiments in 1946 used surplus military radars. They failed to detect air showers but instead, they found high-altitude trails of meteors. This work led to the development of radio astronomy at Jodrell Bank [2]. John Jelley suggested in 1958 that air showers itself may emit radiation at radio wavelengths [3]. In the 1960s Porter and Jelley built a small particle detector array and antennas at "Blackett’s field" at Jodrell Bank. The particle detectors were three trays of Geiger counters located on a 50 m triangle build by Trevor Weeks, later a pioneer in gamma-ray astronomy. The radio antenna was a 6λ×6λ array of dipoles operating at 44 MHz. This frequency was used throughout the day by BBC TV and was quiet at night time. First radio signals from air showers were recorded by Jelley and Porter around 1965 [4, 5]. Coincident pulses from the counters triggered an oscilloscope fitted with a recording camera. The radio signals from the antenna were delayed to allow for delays in the triggering system, filtered, amplified and the power measured before being displayed on the oscilloscope. Harold Allan’s group set up radio antennas, operating at frequencies of 32, 44, and 60 MHz at the Haverah Park air shower experiment from the University of Leeds in the late 1960s, see Fig. (1) (left). The right-hand panel of Fig. (1) shows Harold Allan lecturing at the 1st European Symposium on High Energy Interactions and Extensive Air Showers, Lodz, Poland in April 1968. The early work on the radio detection of air showers is summarized by Allan in an excellent review [6]. The review presented the lateral distribution of the electric field from the radio emission of air showers ν = 2 ( Ep 1017 eV ) ( sinα cos θ sin 45◦ cos 30◦ ) exp ( −r r0 ) ( ν 50 MHz )−1 μV/m/MHz, (1) e-mail: j.horandel@astro.ru. nl
Investigating the Role of Overparameterization While Solving the Pendulum with DeepONets

Machine learning methods have made substantial advances in various aspects of physics. In particular multiple deep-learning methods have emerged as efﬁcient ways of numerically solving differential equations arising commonly in physics. DeepONets [22] are one of the most prominent ideas in this theme which entails an optimization over a space of inner-products of neural nets. In this work we study the training dynamics of DeepONets for solving the pendulum to bring to light some intriguing properties of it. We demonstrate that contrary to usual expectations, test error here has its ﬁrst local minima at the interpolation threshold i.e when model size ≈ training data size. Secondly, as opposed to the average end-point error, the best test error over iterations has better dependence on model size, as in it shows only a very mild double-descent. Lastly, we show evidence that triple-descent [1] is unlikely to occur for DeepONets.
Estimations of Fe–N2 Intrinsic Interaction Energies of Iron–Sulfur/Nitrogen–Carbon Sites: A Deeper Bonding Insight by EDA-NOCV Analysis of a Model Complex of the Nitrogenase Cofactor

The MoFe7S9C1– unit of the nitrogenase cofactor (FeMoco) attracts chemists and biochemists due to its unusual ability to bind aerial dinitrogen (N2) at ambient condition and catalytically convert it into ammonia (NH3). The mode of N2 binding and its reaction pathways are yet not clear. An important conclusion has been made based on the very recent synthesis and isolation of model Fe(I/0)-complexes with sulfur-donor ligands under the cleavage of one Fe–S bond followed by binding of N2 at the Fe(0) center. These complexes are structurally relevant to the nitrogenase cofactor (MoFe7S9C1–). Herein, we report the EDA-NOCV analyses and NICS calculations of the dinitrogen-bonded dianionic complex Fe0–N2 (1) (having a CAr ← Fe π-bond) and monoanionic complex FeI–N2 (2) (having a CAr–Fe σ-bond) to provide a deeper insight into the Fe–N2 interacting orbitals and corresponding pairwise interaction energies (EDA-NOCV = energy decomposition analysis coupled with natural orbital for chemical valence; NICS = nucleus-independent chemical shifts). The orbital interaction in the Fe–N2 bond is significantly larger than Coulombic interactions, with major pairwise contributions coming from d(Fe) orbitals to the empty π* orbitals of N2 (three Fe → N2). ΔEint values are in the range of −61 to −77 kcal mol–1. Very interestingly, NICS calculations have been carried out for the fragments before and after binding of the N2 molecule. The computed σ- and π-aromaticity values are attributed to the position of the Fe atoms, oxidation states of Fe centers, and Fe–C bond lengths of these two complexes.
Validation of the Preschool Reading Attitude Scale in Young Chinese Children: A Longitudinal Study

Abstract The present study validated the Preschool Reading Attitude Scale (PRAS) using a longitudinal sample of young Chinese children in Hong Kong (N = 197; age: mean [SD] = 52.38 [3.32] months at the first wave of assessment). Children were asked to rate their own attitudes toward reading in a Likert format with pictorial aids, and received individual assessments of literacy skills. Parents rated children’s interest in reading activities. The results showed that a two-factor model featuring institutional reading attitude and global reading attitude fitted the data the best. The two subscales demonstrated acceptable internal consistency reliabilities and satisfactory convergent correlations with parent-report child reading interest. In terms of the relation between attitudes and performance, child-reported institutional reading attitude was positively associated with receptive vocabulary and word reading concurrently and longitudinally. Moreover, this study provided evidence for the stability of the PRAS and weak measurement invariance across the two-year period. The results suggest that the PRAS is a reliable, valid, and developmentally suitable instrument.
The Administration of Probiotics in Extremely Low-Birth-Weight Infants and the Incidence of Necrotizing Enterocolitis and Mortality: A Systematic Review

Encouraging findings were previously demonstrated in a previous meta-analysis that analyzed the results of randomized controlled trials (RCTs) that investigated the potential favorable effects of probiotics administration in preterm infants to prevent necrotizing enterocolitis (NEC) and feeding intolerance. This evidence has only been linked to low birth-weight infants (<1000 g), while evidence regarding the impact of administration of these modalities for Extremely Low-Birth-Weight Infants (ELBW) infants is still controversial among the different studies in the literature. A systematic review was conducted to retrieve all the relevant randomized controlled trials in the literature that investigated the impact of probiotics administration on the different outcomes in ELBW infants, including the incidence of mortality and NEC. A thorough search was then conducted through the different databases to find the relevant articles.A total of 11 RCTs were included in the present systematic review. All articles were published between 2007 and 2021, with a total of 3225 ELBW infants were included in both the intervention and control groups across the different included trials. Our results indicate that the administration of these modalities does not have a significant impact on these outcomes. However, it has been reported that they enhance the growth rate, especially head growth circumference, which has been reported to be superior to the placebo effect. Further investigations for ELBW should be encouraged to furtherly validate these modalities, although no adverse events have been reported for their administration among trials in the current systematic review.