Miracle-dz/UniFAR-FTUs huggingface dataset:
Backscatter MAC protocol for future Internet of Things networks

Backscatter wireless communication (BWC) is a promising research area for the low power Internet of Things (IoT) devices. A substantial number of research works have been conducted in this area to increase the range of BWC. Along with physical layer achievements in BWC, an efficient medium access control (MAC) protocol is mandatory to attain the optimal benefit. In this paper, a novel MAC protocol is proposed to support BWC in a Wi-Fi network, where the AP and the Wi-Fi clients are capable of in-band full-duplex (IBFD) transmission, but the wireless tags (WTags) are half-duplex capable. In this MAC protocol, the AP suppresses the uplink transmission of the corresponding Wi-Fi client while transmitting the downlink data to support the BWC. Some new control frames have been introduced to facilitate this task. A mathematical analysis of this proposed MAC is presented here together with an evaluation of its performance. The mean overhead time is observed as 121 μs with the downlink utilization factor of 80%. The average throughput of the network decreases as the number of WTag increases. This average throughput is observed as 63.5 Mbps and 59 Mbps (with 30 WTags and 30 Wi-Fi clients) for the data delivery frequency of two times/WTag and eight times/WTag respectively.
Assessing sustainable food behaviours of national park visitors: domestic/on vocation linkages, and their implications for park policies

This study compares the “at-home” and “while travelling” sustainable food practices of national park visitors in the US Intermountain West through an in-person survey. Results show that tourist's sustainable food practices do not carry over into their national park experience. Specifically, they shop for and consume fewer local foods and participate in fewer food-related activities when travelling, such as farmers' market and local farm visits. When divided into groups of low, medium and high sustainable food practices at home, the medium and high-level groups exhibited a significant reduction in sustainable food practices while travelling. This likely stems from poor promotion of local foods and food related events, lack of linkages between the tourism and food industries, as well as limited recognition of local food labelling schemes and interest in local culture by visitors. These results imply that local foods and culinary experiences do not currently play an essential role in national park experiences in the US Intermountain West. It raises important questions. Is there a link between sustainability practices at home and when on vacation? Should national park managements widen their environmental remits by becoming involved in local food production and promotional practices?
Export growth slowdown and currency crisis: the Malaysian experience

A slowdown in export growth occurred in all East Asian economies that were affected by the Asian currency crisis. Misaligned exchange rates have been widely cited as a cause of the slowdown. In the Malaysian context at least a vulnerability to the downturn in the electronic cycle could also be a major factor leading to poor export performance. Using the US/yen dollar rate as a proxy for exchange rate misalignment and US total new orders for electronics as a proxy for global electronics demand, cointegration analysis was used to establish the likely causes of a slowdown in Malaysia's export performance. Empirical results suggest that a unique long-run relationship exists between all three variables. The policy implications of these results including exchange rate monitoring and export diversification are discussed in the conclusion.
Hedonic Prices for Fish: Tuna Prices in Hawaii

Over the past two decades, the marketing of fish has recognized the importance of quality. Yet empirical analysis of market transactions could give us little insight into the value of different qualities of fish because market data are typically aggregated. We exploit a dataset on the auction price of tuna sold in Hawaii to estimate a hedonic model. The model provides empirical estimates of price increments due to species, quality of the fish such as size or fat content, method of handling, and market conditions. The empirical results are also used to estimate price flexibilities for landings in Hawaii.
Like, share, vote

This report explores the potential for social media to support efforts to get out the vote. Overview Across Europe, low voter turnout in European and national elections is a growing concern. Many citizens are disengaged from the political process, threatening the health of our democracies. At the same time, the increasingly prominent role that social media plays in our lives and its function as a new digital public space offers new opportunities to reengage non-voters. This report explores the potential for social media to support efforts to get out the vote. It lays out which groups need to be the focus of voter mobilisation efforts, and makes the case for using social media campaigning as a core part of our voter mobilisation efforts. The research draws on a series of social media voter mobilisation workshops run by Demos with small third sector organisations in six target countries across Europe, as well as expert interviews, literature review and social media analysis. Having affirmed the need for and utility of social media voter turnout efforts, Like, Share, Vote establishes key principles and techniques for a successful social media campaign: how to listen to the digital discourse of your audience, how to use quizzes and interactive approaches, how to micro-target specific groups and how to coordinate offline events with online campaigns. This report concludes that, with more of our social and political lives taking place online than ever before, failing to use social media to reinvigorate our democracy would be a real missed opportunity.
Parental functioning improves the developmental quotient of pediatric liver transplant recipients

Psychomotor development in pediatric liver transplant (LT) recipients depends on several factors. Our aim was to evaluate the importance of parental involvement and family dynamics on psychomotor development by assessing (i) children and parents individually, (ii) the parent–child relationship, and (iii) the correlation between parental functioning and patient outcome, all before and after LT. Age‐appropriate scales were used before and after LT. Twenty‐one patients, 19 mothers, and 16 fathers were evaluated. Developmental quotient (DQ): No subjects scored in the “very good” range. The proportion of children with deficits increased from LT to two yr: 17.6% vs. 28.6%. Subjects 0–2 yr were more likely to have normal DQ at transplant (66.7% vs. 50% for older children). Abnormal DQ was more prevalent two yr post‐LT in children older at LT (p = 0.02). The mother–child relationship was normal in 59% of families pre‐LT and in 67% at two yr. The relationship was more favorable when the child received a transplant as an infant (p = 0.014 at 12 months post‐LT). Normal DQ was associated with higher maternal global functioning score pre‐LT (p = 0.03). Paternal performance scores were higher than maternal scores. Children transplanted after two yr of age suffer greater long‐term deficits than those transplanted as infants.
The effect of firm maturity on corporate social responsibility (CSR): do older firms invest more in CSR?

ABSTRACT Motivated by the literature on corporate life cycles, we explore the effect of firm maturity on corporate social responsibility (CSR). Our results based on over 26 000 observations across 21 years reveal that more mature firms invest significantly more in CSR. Furthermore, we find that the effect of firm maturity is not uniform across different categories of CSR. As firms get older, they become much more responsible in terms of diversity and environmental awareness, whereas the effect of firm ageing is much weaker in terms of human rights and product safety. Our study is the first to link corporate life cycles to CSR.
Predictive accuracy of three field methods for estimating relative body fatness of nonobese and obese women.

Three methods of body composition assessment were used to estimate percent body fat (%BF) in nonobese (n = 77) and obese (n = 71) women, 20-72 yrs of age. Skinfolds (SKF), bioelectrical impedance (BIA), and near-infrared interactance (NIR) methods were compared to criterion-derived %BF from hydrostatic weighing (%BFHW). Nonobese subjects had < 30% BFHW and obese subjects had > or = 30% BFHW. The Jackson, Pollock, and Ward SKF equation and the manufacturer's equations for BIA (Valhalla) and NIR (Futrex-5000) were used. For nonobese women there were no significant differences between mean %BFHW and %BFSKF, %BFBIA, and %BFNIR. The rs and SEEs were 0.65 and 3.4% BF for SKF, 0.61 and 3.6% BF for BIA, and 0.58 and 3.7% BF for NIR for nonobese subjects. For obese women, mean %BFHW was significantly underestimated by the SKF, BIA, and NIR methods. The rs and SEEs for the obese group were 0.59 and 3.4% BF for SKF, 0.56 and 3.5% BF for BIA, and 0.36 and 3.9% BF for NIR. The total errors of the equations ranged from 5.6 to 8.0% BF in the obese group. It is concluded that all three field methods accurately estimate %BF for nonobese women; however, none of the methods is suitable for estimating %BF for obese women.
Performance analysis of MANET using elliptic curve cryptosystem

In this work various elliptic curve are compared and evaluated based on their operations i.e. Addition and Doubling. Out of these elliptic curves classical weierstrass and jacobian elliptic curves are selected to implement in MANETs (Mobile Ad Hoc Networks) and further network performance is analyzed to calculate efficient processing unit in a partially distributed key management environment. To manipulate the efficient processing unit various fast processing algorithms are selected and compared. Performance of these algorithms are evaluated in MANET using AODV (Ad-Hoc On Demand Distance Vector), DSDV(Destination Sequenced Distance Vector) and DSR(Dynamic Source Routing) protocols for small to medium scale networks. Results are compared to find the best routing and computational algorithm.
Causes of shear sensitivity of the toxic dinoflagellate Protoceratium reticulatum

Dinoflagellates have proven extremely difficult to culture because they are inhibited by low‐level shear forces. Specific growth rate of the toxic dinoflagellate Protoceratium reticulatum was greatly decreased compared with static control culture by intermittent exposure to a turbulent hydrodynamic environment with a bulk average shear rate that was as low as 0.3 s−1. Hydrodynamic forces appeared to induce the production of reactive oxygen species (ROS) within the cells and this caused peroxidation of cellular lipids and ultimately cell damage. Exposure to damaging levels of shear rate correlated with the elevated level of lipoperoxides in the cells, but ROS levels measured directly by flow cytometry did not correlate with shear induced cell damage. This was apparently because the measured level of ROS could not distinguish between the ROS that are normally generated by photosynthesis and the additional ROS produced as a consequence of hydrodynamic shear forces. Continuously subjecting the cells to a bulk average shear rate value of about 0.3 s−1 for 24‐h caused an elevation in the levels of chlorophyll a, peridinin and dinoxanthin, as the cells apparently attempted to counter the damaging effects of shear fields by producing pigments that are potential antioxidants. In static culture, limitation of carbon dioxide produced a small but measureable increase in ROS. The addition of ascorbic acid (0.1 mM) to the culture medium resulted in a significant protective effect on lipid peroxidation, allowing cells to grow under damaging levels of shear rates. This confirmed the use of antioxidant additives as an efficient strategy to counter the damaging effects of turbulence in photobioreactors where shear sensitive dinoflagellates are cultivated. © 2009 American Institute of Chemical Engineers Biotechnol. Prog. , 2009
From machine learning to knowledge discovery: Survey of preprocessing and postprocessing

Knowledge Discovery in Databases (KDD) has become a very attractive discipline both for research and industry within last few years. Its goal is to extract pieces of knowledge or `patterns' from usually very large databases. It portrays a robust sequence of procedures or steps that have to be carried out to derive reasonable and understandable results. One of its components symbolizes an inductive process that induces the above pieces of knowledge; usually it is Machine Learning (ML). However, most of the machine learning algorithms require perfect data in a reasonable format. Therefore, some preprocessing routines as well as postprocessing ones should fill the entire chain of data processing. This paper overviews and discusses the knowledge discovery process and its methodology as a series of several steps which include machine learning, preprocessing of data, and postprocessing of the results induced.
Entrepreneurship, risk and income distribution in Adam Smith

Abstract The treatment of functional income distribution in classical economics has commonly been interpreted in terms of a tripartite distinction between the roles of, and the returns to, labour, capital and land, with the classical income distribution theories explaining the determination of rates of wages, profits and rents. Is there then any distinct role for entrepreneurship in the classical approach to distribution and prices? Is it absent from those theories, or subsumed under other economic functions? How is entrepreneur remuneration understood, if theorised at all? These questions are addressed in relation to the political economy of Adam Smith in particular.
Development of a Trigger Tool to Identify Adverse Drug Events in Elderly Patients With Multimorbidity

Supplemental digital content is available in the text. Purpose Elderly patients with multimorbidity are especially vulnerable to adverse drug events (ADEs) and had high prevalence rates. Identifying ADEs is essential for enabling timely interventions that can mitigate the adverse events detected and for developing targeted strategies to prevent their occurrence as well as to monitor implementation. The aim of this study was to develop a set with appropriate triggers for detecting potential ADEs in elderly patients with multimorbidity. Methods A modified Delphi methodology was used to reach consensus. Existing triggers for detecting ADEs in adult patients were identified from a literature search in several databases (EMBASE, MEDLINE, Web of Science, Centre for Reviews and Dissemination, and Cochrane Library) and from Institute for Healthcare Improvement published lists. Twelve experts in patient/medication safety or in chronic diseases scored candidate triggers for appropriateness according to 3 criteria (evidence, usefulness for elderly patients, and feasibility of implementation in clinical practice). Results Seventy-two triggers were initially selected to be evaluated. The final set includes a total of 51 triggers for which the panelists who completed the 2 rounds of evaluation reached agreement. These triggers were organized into 5 modules: 11 as care module triggers, 10 as antidotes/treatment, 11 medication concentrations, 18 abnormal laboratory values, and 1 as emergency department trigger. Conclusions A set of triggers for detecting ADEs in elderly patients with multimorbidity have been developed, following the consensus of a panel of experts. Subsequent validation in clinical practice is needed to confirm the accuracy and efficiency of these triggers for this population.
Optical sensing for on-chip digital microfluidics

A digital microfluidic architecture is introduced for micron-scale localized fluid actuation and in in-situ optical sensing. Contemporary device integration challenges related to localization and device scalability are overcome through the introduction of a bi-layered digital microfluidic multiplexer. Trinary inputs are applied through differential combinations of voltage signals between upper (column) electrodes and lower (row) electrodes. The ultimate layout provides increased scalability for massively parallel microfluidic actuation applications with a minimal number of inputs. The on-chip sensing technique employed here incorporates a microlens in a folded-cavity arrangement (fabricated by a new voltage-tuned polymer electro-dispensing technique). Such a geometry heightens the sensitivity between the optical probe and fluid refractive properties and allows the device to probe the refractive index of the internal fluid. This optical refractometry sensing technique is merged with the actuation capabilities of the digital microfluidic multiplexer on a single lab-on-a-chip device.
Outcome after kidney transplantation in children with thrombotic risk factors

Abstract: Background: According to the data from the North American Pediatric Renal Transplant Cooperative Study (NAPRTCS), vascular thrombosis accounts for 11.6% of graft losses in pediatric renal transplantation. In adults, inherited and acquired thrombophilic risk factors, e.g. factor V Leiden mutation, have been associated with early graft loss and increased rejection episodes. Data on the impact of these factors on the outcome of children after renal transplantation are rare.
Listing Price, Time on Market, and Ultimate Selling Price: Causes and Effects of Listing Price Changes

Information about price changes during a home’s marketing period is typically missing from data used to investigate the listing price, selling price, and selling time relationship. This paper incorporates price revision information into the study of this relationship. Using a maximum‐likelihood probit model, we examine the determinants of list price changes and find evidence consistent with the theory of pricing behavior under demand uncertainty. Homes most likely to undergo list price changes are those with high initial markups and vacant homes, while homes with unusual features are the least likely to experience a price revision. We also explore the impact of missing price change information on estimating a representative model of house price and market time. Our results suggest that mispricing the home in the initial listing is costly to the seller in both time and money. Homes with large percentage changes in list price take longer to sell and ultimately sell at lower prices.
Technology Transfer, Merger and Joint Venture: A Comparative Welfare Analysis

We consider a framework where initially a foreign firm and a few domestic firms are competing in a homogenous product local market. The foreign firm has a lower marginal cost of production relative to the domestic firms. We study then possibility of a bilateral agreement between the foreign firm and a local firm on each of technology transfer, merger and joint venture. Given the optimal behavior of the foreign firm, the paper also examines welfare implica - tions of each such collaborative deal. Depending on cost asymmetry it is always profitable for the foreign firm to go for the one or the other deal. But the local government generally encourages new firm joint venture formation. The degree of cost asymmetry and the number of firms in the market play an impor - tant role in this analysis.
Investing in Hope: AIDS, Life Expectancy, and Human Capital Accumulation

A three period overlapping generations model is developed to investigate the impact of shorter life expectancy due to disease, on human capital investment decisions and income growth. This research is particularly relevant to Sub-Saharan Africa given the dramatic reduction in life expectancy due to HIV/AIDS and the potential lasting effects on growth. Our results indicate that as life expectancy shortens so does schooling inducing a lower growth rate of income. These relationships are even more pronounced for the African continent than for the rest of the world.
When Equality Trumps Reciprocity: Evidence from a Laboratory Experiment

Inequity aversion and reciprocity have been identified as two primary motivations underlying human decision making. However, because income and wealth inequality exist to some degree in all societies, these two key motivations can point to different decisions. In particular, when a beneficiary is less wealthy than a benefactor, a reciprocal action can lead to greater inequality. In this paper we report data from a trust game variant where trustees’ responses to kind intentions generate inequality in favor of investors. In relation to a standard trust game treatment where trustees’ responses reduce inequality, the proportion of non-reciprocal decisions is twice as large when reciprocity promotes inequality. Moreover, we find investors expect that this will be the case. Overall, although both motives clearly play a role, we found strong evidence for inequality aversion. Our results call attention to the potential importance of inequality in principal-agent relationships, and have important implications for designing policies aimed at promoting cooperation.
Unemployment and Crime: Is There a Connection?

A panel of Swedish counties over the years 1988-1999 is used to study the effects of unemployment on property crime rates. The period under study is characterized by turbulence in the labor market-the variation in unemployment rates was unprecedented in the latter part of the century. Hence, the data provide a unique opportunity to examine unemployment effects. According to the theory of economics of crime, increased unemployment rates lead to higher property crime rates. A fixed-effects model is estimated to investigate this hypothesis. The model includes time- and county-specific effects and a number of economic and socio-demographic variables to control for unobservables and covariates. The results show that unemployment had a positive and significant effect on some property crimes (burglary, car theft and bike theft). Copyright The editors of the "Scandinavian Journal of Economics", 2005 .
Is There Evidence Of A Wage Penalty To Female Part‐Time Employment In South Africa?

In this paper, we investigate female part-time employment in South Africa. Using household survey data for South Africa from 1995 to 2004, we show that women are over-represented in part-time employment, and that the growth in part-time work has been an important feature of the feminisation of the labour force. In contrast to many studies of part-time work in other countries, however, we find evidence of a significant wage premium to female part-time employment. The premium is robust also to fixed effects estimations using Labour Force Survey panel data from 2001 to 2004, where controlling for unobservable differences increases its size. The premium persists with different hourly thresholds defining part-time employment and when we account for possible reporting errors in hours worked.