Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning-Based Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT

Edge computing provides a promising paradigm to support the implementation of Industrial Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited machine-type devices (MTDs) to powerful edge servers. However, the performance gain of edge computing may be severely compromised due to limited spectrum resources, capacity-constrained batteries, and context unawareness. In this article, we consider the optimization of channel selection that is critical for efficient and reliable task delivery. We aim at maximizing the long-term throughput subject to long-term constraints of energy budget and service reliability. We propose a learning-based channel selection framework with service reliability awareness, energy awareness, backlog awareness, and conflict awareness, by leveraging the combined power of machine learning, Lyapunov optimization, and matching theory. We provide rigorous theoretical analysis, and prove that the proposed framework can achieve guaranteed performance with a bounded deviation from the optimal performance with global state information (GSI) based on only local and causal information. Finally, simulations are conducted under both single-MTD and multi-MTD scenarios to verify the effectiveness and reliability of the proposed framework.
Pre-service teacher’s acceptance and use of a synchronous and collaborative online tool to support teaching and learning at a private higher educational institute

New and emerging technologies continue to disrupt the teaching and learning processes and these new innovations are not always easily accepted. In this study, the researchers employed Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) in order to identify the factors that influencing the use and acceptance of a digital emerging technology called the VIA App at a private higher education institution in South Africa. VIA App is a wireless presentation and synchronous collaboration application affording multiple users access to shared content that can be review a quantitative descriptive approach wed and amended in real-time during the learning process. This qualitative study made use of a questionnaire to teste six of the UTAUT2 constructs to determine acceptance using a 5-point Likert scale. Results indicate constructs such as performance expectancy significantly influence the use and acceptance of VIA app. In addition, findings suggest that effort expectancy, social influence, facilitating conditions, hedonic motivation and habit partially influence the use of the VIA App during teaching and learning. Pre-service teachers’ gender was also found to be significant determinant to the overall acceptance and use of the synchronous and collaborative VIA App.
Electric Vehicle Powertrain and Fuzzy Control Multi-Objective Optimization, Considering Dual Hybrid Energy Storage Systems

The hybrid energy storage system (HESS), which is composed of battery and ultracapacitor, is established to enhance the performance of an electric vehicle (EV). Moreover, several studies highlight the gains of split the traction power demand among electric motors (EMs) with different characteristics and drivetrain configurations, allowing these to operate at higher efficiency. In this paper, we unite the advantages of the multi EM drive train with the HESS power split and propose a novel two HESS system, in which each HESS is in charge of one of the drivetrain configurations (front and rear system). The EV is driven by two in-wheel EM at the front wheels and a single EM assembled with a differential transmission that moves the rear wheels. In this paper, a multiobjective optimization, based on a genetic algorithm (GA), is formulated to minimize the HESS sizing and maximize the driving range of the vehicle. Also employing the fuzzy control, this strategy is responsible to split the power between the front and rear wheels systems in a more reasonable way to satisfy the demands of better performance. The complete strategy has been developed under the FTP-75 (urban), HWFET (highway) and the US06 (high speed and required acceleration) driving cycles using the MATLAB/Simulink software environment. As compared to a similar EV with a single HESS system, the proposed dual-HESS configuration was able to improve the driving range in 145.15 km also decreasing 23.93% of the HESS mass.
The effect of service innovation on customer behavioral intention in the Taiwanese insurance sector: the role of word of mouth and corporate social responsibility

Purpose Service innovation has been one of the essential elements to meet the customers’ requirements, but few studies discuss service innovation regarding behavioral intention in the insurance industry. This paper aims to investigate the effects of service innovation on customer behavioral intention and examines the role of word-of-mouth (WOM) and corporate social responsibility (CSR). Design/methodology/approach This paper used a survey to assess consumer behavioral intention regarding service innovation activities from life insurance. Questionnaires were administered to consumers who have purchased life insurance in Taiwan and the survey questions were tested through factor analysis. An analysis of multiple and hierarchical regression was performed to test the hypotheses. Findings The empirical results demonstrate that life insurance service innovation has a significantly positive influence on WOM and behavioral intention. Additionally, WOM has a partially mediating effect between service innovation and behavioral intention. Furthermore, the study indicates that CSR has a moderating effect on the relationship between service innovation and behavioral intentions. Originality/value Considering the uniqueness of this study in the context of Taiwan, the research draws on signaling theory as the framework to explore service innovation and the impact of social responsibility on consumer behavioral intentions in the Taiwanese insurance industry. Additionally, the results can be considered a service marketing strategy and are applicable to the financial service industry in some developing Asian countries
Simultaneous measurement of local densities of atomic oxygen and ozone in pure oxygen pulsed barrier discharge under atmospheric pressure

Atomic oxygen and ozone are essential reactive species in plasma oxidation processes. Pure oxygen discharge is preferable to produce atomic oxygen and ozone while a difficulty in measuring their local densities exists. The ozone density is typically measured by UV absorption, but its resolution is insufficient for measuring the local ozone density in filamentary discharges. The atomic oxygen density can be measured by two-photon absorption laser-induced fluorescence (TALIF) method. However, ozone interference from the in situ atomic oxygen production due to ozone fragmentation by the incident UV light disturbs the TALIF measurement of the discharge-originated atomic oxygen. Therefore, compensation for ozone interference is necessary in atomic oxygen measurements. In this study, we propose a method to separate ozone interference from the discharge-originated atomic oxygen signal by focusing on different TALIF signal dependence on the laser intensity between atomic oxygen density and ozone density. By changing the laser intensity in the TALIF measurement, we separate the signal of atomic oxygen density from that of ozone interference. Under a short-gapped pulsed barrier discharge at a 3.1 mJ discharge energy, the gas temperature and the local densities of the atomic oxygen and ozone in the observed volume are estimated to be approximately 380 K, 3.8–11.3 , and 3.4 , respectively. This estimated atomic oxygen density is consistent with the absolute atomic oxygen density calibrated by the Xe-TALIF measurement. This consistency indicates that our method is applicable for absolute density measurements of atomic oxygen using ozone as the calibration reference.
Study on new method for evaluating reservoir formation pressure by wellhead pressure

Formation pressure is an essential parameter for calculating the dynamic geological reserves, evaluating the development effect of oil and gas fields, conducting the daily dynamic analysis of oil and gas Wells and predicting the dynamic of oil and gas fields. Generally, the calculation of reservoir average formation pressure is to use the pressure in the infinite formation to solve the formation pressure. This paper presents a new method for calculating the pressure at any point of one source and one sink by using wellhead pressure. This method has been well applied in the Saertu-Putaohua industrial area.
Effects of agricultural and urban land cover on New Zealand’s estuarine water quality

ABSTRACT National-scale analyses of land cover effects on water quality can aid in directing environmental policy. We compiled a coastal water quality database for New Zealand comprising 320 estuarine and coastal sites with records between 2013 and 2018. Previous literature had shown strong effects of agricultural and urban land cover on the quality of New Zealand’s rivers, so we examined their effects on estuaries, while controlling for marine dilution and freshwater flushing. Sites with greater freshwater influence had higher nutrient and faecal indicator bacteria concentrations, and turbidity, indicating that open coast and estuarine water quality is reduced predominantly via flows from the land. Nitrate, ammonium, total and dissolved reactive phosphorus, and water column chlorophyll-a concentrations were greater in estuaries with higher urban land cover and total phosphorus concentrations were greater with higher agricultural land cover. There was a marginally significant increase in turbidity as agricultural land cover increased. This is the first national-scale compilation and analysis of New Zealand coastal water quality data, and the first national analysis of land cover effects on water quality in New Zealand estuaries.
Deterring Rebels: Political Persuasion and Manipulation in the 'Divergent' Trilogy Films

El objetivo de este artículo es analizar las estrategias y recursos de persuasión y manipulación que se emplean en la propaganda política de las películas de la trilogía Divergente. Mención especial recibe la segunda, Insurgente, pues el estallido de la guerra entre las diversas facciones políticas e ideológicas es caldo de cultivo de estrategias políticas manipulativas para persuadir a la población y atraerla hacia un lado u otro con el propósito de ganar. Con estas premisas, el discurso político sirve tanto para disuadir a los Divergentes rebeldes que amenazan el sistema establecido como para controlar a las masas de las diferentes facciones. Para el estudio sigo los parámetros de diferentes marcos teóricos, como el análisis crítico del discurso político, la Teoría de la Valoración –centrándome en la actitud– y los fenómenos de polarización y legitimación. Los resultados permiten observar cómo los agentes políticos de la película consiguen influir en la población que escucha sus discursos repletos de medios retóricos, subjetividad para presentar situaciones, objetos o personas de manera positiva o negativa según los intereses y conveniencia del emisor, y diferentes tipos de poder.
Computation Offloading Scheduling for Periodic Tasks in Mobile Edge Computing

Motivated by various delay sensitive applications, we address the problem of coordinating the offloading decisions of wireless devices that periodically generate computationally intensive tasks. We consider autonomous devices that aim at minimizing their own cost by choosing when to perform their tasks and whether or not to offload their tasks to an edge cloud through one of the multiple wireless links. We develop a game theoretical model of the problem, prove the existence of pure strategy Nash equilibria and propose a polynomial complexity algorithm for computing an equilibrium. Furthermore, we characterize the structure of the equilibria, and by providing an upper bound on the price of anarchy of the game we establish an asymptotically tight bound on the approximation ratio of the proposed algorithm. Our simulation results show that the proposed algorithm achieves significant performance gain compared to uncoordinated computation offloading at a computational complexity that is on average linear in the number of devices.
A Phenomenological Study of Customer Disvalue

In this paper we present the structure of “customer disvalue” phenomenon as the complementary concept for customer value. Authors, who are proponents of humanized marketing, rely on the lived-experience of customers as the primary source of data in order to grasp a first-hand understanding of the phenomenon that has been profoundly shadowed by objectivism of economics. The research is based on a descriptive phenomenological method as introduced by Paul Colaizzi. The findings of the study illustrate the distinct essence of customer disvalue experience that differentiates it from interconnected notions like cost, loss, and dissatisfaction. The authors discuss the origins of customer disvalue as a key issue, how it is generally overlooked in value models, and how its integration into marketing value theory offers it a greater depth and brings about a better understanding of customer behaviors.
Review of Quantitative Empirical Evaluations of Technology for People with Visual Impairments

Addressing the needs of visually impaired people is of continued interest in Human Computer Interaction (HCI) research. Yet, one of the major challenges facing researchers in this field continues to be how to design adequate quantitative empirical evaluation for these users in HCI. In this paper, we analyse a corpus of 178 papers on technologies designed for people with visual impairments, published since 1988, and including at least one quantitative empirical evaluation (243 evaluations in total). To inform future research in this area, we provide an overview, historic trends and a unified terminology to design and report quantitative empirical evaluations. We identify open issues and propose a set of guidelines to address them. Our analysis aims to facilitate and stimulate future research on this topic.
IMPORTANCE OF SELF-HELP AND MUTUAL ASSISTANCE AMONG MIGRANTS DURING NATURAL DISASTERS

In this study, we examine the factors that influence how migrants cope after a natural disaster. We surveyed two different samples of migrants: Filipinos living in Japan after the 2011 Great East Japan earthquake and tsunami and Filipinos living in New Zealand during the 2010/11 Christchurch earthquakes. We examine their risk perception and capability to manage risk on two levels: self-help and mutual assistance and we hypothesize that if migrants are proactive in information gathering and community involvement, they are more likely to be resilient, to self-help and to assist others. Survey responses were analysed using a multinomial logit model yielding results that show how socioeconomic factors affect migrant capability for self-help and mutual assistance and dependence on public or government assistance. Our results suggest that the migrants with the following characteristics are likely to be resilient: (1) long-staying, educated, and permanently employed; (2) engaged in communities, (3) share/discuss disaster risk-reduction (DRR) information; (4) those who have a lower perception of risks and less conscious of other’s needs are less likely to be resilient. On the other hand, testing for vulnerability, we find that the average probability of experiencing some serious damage is higher, for migrants: (1) without social or community involvement, (2) who are only somewhat conscious of the risks and needs of others, and (3) have no or few sources of information.
Comparison of Stage IV Colonic Carcinoma in Right Side to Left Side by Prognostic Markers like her-2-neu, p 53 and KRAS Mutation

s Backgrounds: Colorectal carcinomas vary considerably throughout the world, being one of the leading cancer sites in the developed countries. Colorectal cancer (CRC) is the third most commonly diagnosed cancer globally, accounting for 10.0% of all new cancer cases. Here, difference in expression of p53, Her-2-neu, K-RAS and prognosis along with survival of stage IV both right and left sided colon cancers were evaluated. Methods and Materials: One year retrospective study of stage IV carcinoma colon cases was studied in our institute; separated as right and left side colonic carcinoma. Immunohistochemistry of p53, Her-2-neu and KRAS mutation study by RT-PCR was done on their respective blocks and the results were compared; prognosis studied by follow up of the patients for 1 year. Results: A total of 512 histopathologically confirmed cases of colon carcinoma were screened and paraffin block of 15 cases of stage IV colon carcinoma elaborately studied by routine Haematoxylin & Eosin stain. Followed by IHC (P 53 and Her 2/Neu), RT PCR study (K ras mutation) were carried out. Among them 6 were right and rest 9 were left side colon carcinoma. Right sided cases constituted 3 adenocarcinoma NOS (p53, Her 2 neu positive) 2 mucin secreting adenocarcinoma (p53 positive her 2 neu negative) and 1 signet ring cell adenocarcinoma (p53 positive Her 2 neu negative). Left sided cases constituted 5 adenocarcinoma NOS( p53 positive Her 2 neu negative), 2 mucin secreting( p53 positive Her 2 neu negative) and 2 signet ring cell ( p53 , Her 2 /neu negative). K ras mutation was positive in 67% right sided and 40%left sided colonic cancers. Following up, 83% of right sided cancer patients were dead and 17% living whereas in left sided cancers, 67% were living responding well to chemotherapy. Conclusion: Anti-epidermal growth factor receptor monoclonal antibody treatment (targeted therapy), with cetuximab and panituzumab is more effective in left side colonic carcinoma than right side.
Role of Inflammation in Development of Atherosclerosis

Recent data suggest the involvement of dectin-1 in atherosclerosis through regulation of local reactive oxygen species production. The aim of the current study was to assess the effect of dectin-1 deficiency on atherosclerotic plaque development. Using immunohistochemistry dectin-1 expression was observed on foamy macrophages in atherosclerotic lesions in mice. Following lethal irradiation LDLR mice were reconstituted with bone marrow from either wild type or dectin-1 mice. After recovery, mice were fed a high fat diet for 9 weeks and atherosclerotic lesions were analyzed. Overall, we found no significant differences in plaque size or severity between the groups. Also no differences were observed in granulocyte or macrophage composition of the plaques or in the ability to produce reactive oxygen species by macrophages from both groups. Dectin-1 is dispensable for the development of atherosclerotic lesions in mice. Dectin-1 deficiency does not affect atherosclerosis development in mice 49
The Discrete Diamond-Alpha Imaginary Ellipse and Hyers–Ulam Stability

We introduce the imaginary diamond-alpha ellipse, which unifies and extends the left Hilger imaginary circle (forward, Delta case) and the right Hilger imaginary circle (backward, nabla case), for the discrete diamond-alpha derivative with constant step size. We then establish the Hyers–Ulam stability (HUS) of the firstorder linear complex constant coefficient discrete diamond-alpha derivative equation, proving that the imaginary diamond-alpha ellipse fails to have HUS, while inside and outside the ellipse the equation has HUS. In particular, for each parameter value not on the diamond-alpha ellipse, we determine explicitly the best (minimum) HUS constant in terms of the elliptical real part of the coefficient. AMS Subject Classifications: 30E10, 39A06, 39A30, 39A45.
Congenital cytomegalovirus infection: epidemiology, prediction, diagnosis, and emerging treatment options for symptomatic infants

ABSTRACT Introduction: Congenital cytomegalovirus (CMV) infection, long known as a disease of TORCH syndrome, is a CMV infection transmitted from the mother to the fetus via the placenta, and may or may not cause any symptoms. Particularly, symptomatic infants often develop neurological sequelae in their lives. The disease and economic burden associated with congenital CMV infection is substantial in children worldwide. Areas covered: This review described the epidemiology, prediction/prevention, diagnosis, and emerging treatment options of congenital CMV infection, highlighting the laboratory diagnostics using urine and saliva, and the benefits of antiviral therapy, especially based on the Japanese evidences. Authors used PubMed for the literature search. Expert opinion: The best, fastest, and most accurate diagnostic method for congenital CMV infection would be the real-time polymerase chain reaction using urine or saliva within 3 weeks of age. Antiviral therapies using intravenous ganciclovir or oral valganciclovir, which are started during the neonatal period, are effective in improving hearing outcomes in some symptomatic infants. Given that the antiviral drugs are currently off-labels worldwide due to their strict effect and safety concerns, obtaining informed consent from the parents is warranted before their use in infants with congenital CMV disease.
Potential for helium recovery and purification in Australia through membrane gas separation

ABSTRACT Helium is a non-renewable resource that is obtained from natural gas. The recent increase in the wholesale price of He has focused attention on exploiting low grade reservoirs. Cryogenic liquefaction for He recovery becomes increasing energy intensive as the feed He concentration decreases. Hence, alternative separation technologies are required and membrane gas separation has potential. Here, membranes are simulated for the recovery of He for a range of feed gas compositions. A cellulose acetate membrane is the focus, with simulations indicating that for a feed with less than 3 mol% He, a three-membrane stage cascade process is viable. The energy duty of the process increased with reduced He concentration, but this increase in energy duty is less than that observed for cryogenic liquefaction and below a feed concentration of 2.5 mol% He, the membrane process is energy competitive. Hence, membrane gas separation has potential for He recovery from natural gas.