Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating the Links between Sociodemographic Factors and the Acceptance of Unethical Behavior: A Survey in Finland

In this study we analyze how certain socio-demographic factors such as gender, age and income level are related to the acceptance of unethical behavior in Finland. For the purpose of this study, we adopt Muncy and Vitell’s (1992) Consumer Ethics Scale. Based on our analyses and the sample of 976 Finns, our main findings are as follows: Finnish consumers have relatively high ethical standards. In particular, Finnish consumers are very strict when it comes to the illegal activities. According to our results, respondents aged 65 years and over are strictest when it comes to the ethical perceptions. Our results also indicate that females are stricter with their ethical perceptions than the males. In addition, our study reveals that university graduates and those with upper secondary level are more willing to accept unethical behavior than their less educated counterparts. However, based on our results, income level is not as strongly associated with consumer ethical beliefs. These findings contribute to current theories of consumer research and consumer ethics. Furthermore, to our knowledge, our study was the first attempt to explore the consumer ethics among the whole population of Finland and across various socio-demographic groups.
The Universally Conserved Prokaryotic GTPases

SUMMARY Members of the large superclass of P-loop GTPases share a core domain with a conserved three-dimensional structure. In eukaryotes, these proteins are implicated in various crucial cellular processes, including translation, membrane trafficking, cell cycle progression, and membrane signaling. As targets of mutation and toxins, GTPases are involved in the pathogenesis of cancer and infectious diseases. In prokaryotes also, it is hard to overestimate the importance of GTPases in cell physiology. Numerous papers have shed new light on the role of bacterial GTPases in cell cycle regulation, ribosome assembly, the stress response, and other cellular processes. Moreover, bacterial GTPases have been identified as high-potential drug targets. A key paper published over 2 decades ago stated that, “It may never again be possible to capture [GTPases] in a family portrait” (H. R. Bourne, D. A. Sanders, and F. McCormick, Nature 348:125-132, 1990) and indeed, the last 20 years have seen a tremendous increase in publications on the subject. Sequence analysis identified 13 bacterial GTPases that are conserved in at least 75% of all bacterial species. We here provide an overview of these 13 protein subfamilies, covering their cellular functions as well as cellular localization and expression levels, three-dimensional structures, biochemical properties, and gene organization. Conserved roles in eukaryotic homologs will be discussed as well. A comprehensive overview summarizing current knowledge on prokaryotic GTPases will aid in further elucidating the function of these important proteins.
Chiral perturbation theory for staggered sea quarks and Ginsparg-Wilson valence quarks

We study lattice QCD with staggered sea and Ginsparg-Wilson valence quarks. The Symanzik effective action for this mixed lattice theory, including the lattice spacing contributions of $\mathcal{O}({a}^{2})$, is derived. Using this effective theory we construct the leading-order chiral Lagrangian. The masses and decay constants of pseudoscalars containing two Ginsparg-Wilson valence quarks are computed at one-loop order.
Microgrid energy management system using fuzzy logic control

A microgrid is a small-scale grid designed to provide power to local communities and be able to connect or disconnect from the main grid, is studied. Considering solar panel and wind turbine as generators, the load is assimilated to a residential demand. The aim of this paper is the regulation of the energy management for a regular day in summer via intelligent control. The command approach used for fuzzy logic rules, considering electricity prices, renewable production, load demand as parameters. Furthermore, the command rules are developed in order to ensure a reliable grid taking into account the financial aspect to decide the load modification's level. We show the theoretical and simulation results in this paper.
Removal of Gaussian noise with non-uniform total variation partition

Non-uniform Partition (NUP) and Total Variation (TV) are both effective Gaussian denoising algorithms than many other common denoising algorithms, but some defects are still existing in them thus reducing their denoising performance. In this paper, a novel Gaussian denoising algorithm based on NUP and TV is proposed. TV is a global denoising algorithm which uses the same parameters and criteria to remove noise no matter it is a smooth or complex region, so its texture detail recovering ability is not strong. Square effect is the main problem in NUP denoising. In this proposed algorithm, TV and NUP are combined together so that TV denoising can be applied to the partitions with different complexity. And by applying the Interpolation Relaxation technique, the square effect in NUP is improved. The experimental results show that the proposed algorithm owns better denoising performance than the original NUP and TV denoising algorithm.
Adaptive Environmental Source Localization and Tracking with Unknown Permittivity and Path Loss Coefficients †

Accurate signal-source and signal-reflector target localization tasks via mobile sensory units and wireless sensor networks (WSNs), including those for environmental monitoring via sensory UAVs, require precise knowledge of specific signal propagation properties of the environment, which are permittivity and path loss coefficients for the electromagnetic signal case. Thus, accurate estimation of these coefficients has significant importance for the accuracy of location estimates. In this paper, we propose a geometric cooperative technique to instantaneously estimate such coefficients, with details provided for received signal strength (RSS) and time-of-flight (TOF)-based range sensors. The proposed technique is integrated to a recursive least squares (RLS)-based adaptive localization scheme and an adaptive motion control law, to construct adaptive target localization and adaptive target tracking algorithms, respectively, that are robust to uncertainties in aforementioned environmental signal propagation coefficients. The efficiency of the proposed adaptive localization and tracking techniques are both mathematically analysed and verified via simulation experiments.
Pushing manipulation by humanoid considering two-kinds of ZMPs

This paper discusses the pushing manipulation of an object by a humanoid robot. For such a pushing task, we show that there are two kinds of ZMPs, i.e., the conventional "Zero Moment Point (ZMP)" considering all sources of the force/moment acting in the foot supporting area, and the "Generalized Zero Moment Point (GZMP)" which is an generalization of ZMP for a humanoid robot whose hands do not contact with an object. We first obtain the stable region of the GZMP on the floor. Moreover, since the difference between these two ZMPs corresponds to the magnitude of contact force applied by the hands, we propose the pushing manipulation by a humanoid robot by modifying the desired ZMP trajectory for a humanoid. The effectiveness of the proposed method is confirmed by simulation results.
The Girl and the Game: A History of Women’s Sport in Canada

Hall, Professor Emeritus in the Faculty of Physical Education and Recreation at the University of Alberta, has brought a lifetime of interest in women’s sport to one well organized historical survey. She is well acquainted with the standard themes and periodization established by Canadian women’s historians, and basically wraps her story of women’s sport around these. So chapters range from the “New Women” of the turn of the nineteenth century, through various milestones—such as both world wars—in the twentieth century.
Performance Evaluation of Anchor-based Range-based Localization Systems in Wireless Sensor Networks

ABSTRACT In the current scenario location estimation is a very challenging field in case of WSN, as the utility is very high in the WSN application with respect to various aspects. So, a simulation based survey is carried out in this paper using three mostly used range based techniques likely RSSI, TOA & AOA, where the nodes are assumed to be static at the time of computation of their respective locations and some reference nodes are also considered for helping the location calculation, whose coordinates are known prior to the computation and is stored in the sensor nodes database. General Terms Wireless Sensor Networks, Location Estimation, Simulation, Survey. Keywords Location Estimation, Range Based, Anchor Based, RSSI, TOA, AOA anchor based & range based, set up in a common environment 1. INTRODUCTION Determining the location of a mobile device (cellular phone, user, sensor nodes/motes, and autonomous robots) is a fundamental problem in mobile computing. Being aware of the location of a device could either improve the performance of a communication network, or it could also be used to implement services relying on location information e.g. Location Based Services [1] etc. Wireless location services provide personalized services to mobile users based on their current location. The promise of new wireless location services heavily relies on accurate & efficient location detection
Modulation of Telomeres in Alternative Lengthening of Telomeres Type I Like Human Cells by the Expression of Werner Protein and Telomerase

The alternative lengthening of telomeres (ALT) is a recombination-based mechanism of telomere maintenance activated in 5–20% of human cancers. In Saccharomyces cerevisiae, survivors that arise after inactivation of telomerase can be classified as type I or type II ALT. In type I, telomeres have a tandem array structure, with each subunit consisting of a subtelomeric Y′ element and short telomere sequence. Telomeres in type II have only long telomere repeats and require Sgs1, the S. cerevisiae RecQ family helicase. We previously described the first human ALT cell line, AG11395, that has a telomere structure similar to type I ALT yeast cells. This cell line lacks the activity of the Werner syndrome protein, a human RecQ helicase. The telomeres in this cell line consist of tandem repeats containing SV40 DNA, including the origin of replication, and telomere sequence. We investigated the role of the SV40 origin of replication and the effects of Werner protein and telomerase on telomere structure and maintenance in AG11395 cells. We report that the expression of Werner protein facilitates the transition in human cells of ALT type I like telomeres to type II like telomeres in some aspects. These findings have implications for the diagnosis and treatment of cancer.
Accelerating gesture recognition algorithm using coarse grained reconfigurable architectures

The gesture recognition algorithms have been widely used to realize the human-computer interaction in multimedia applications, but still have limitation of integration due to the computation overhead. For this reason, this paper proposes an acceleration method for the hand gesture recognition algorithm using CGRA. The proposed algorithm enables software pipelining and vectorization for the SRP architecture, which exploits both the instruction level parallelism and data level parallelism. Therefore, the proposed optimization method improves the utilization of the hardware resources in SRP and effectively accelerates the performance of the gesture recognition algorithm, achieving maximum speedup of 10.97.
Influence of long-range disorder on electron motion in two dimensions

We consider a two-dimensional electron gas with long range disorder. Assuming that time reversal symmetry is broken either by an external magnetic field or, as in the case of a delta-correlated random magnetic field, by the disorder itself, we derive a supermatrix $\sigma $-model. As an intermediate step, we provide a microscopic derivation of the ballistic $\sigma$-model, and find that certain corrections to its usual form may become important. We then integrate out degrees of freedom corresponding to short length scales to derive a low-energy supermatrix $\sigma $-model. We find an extra term in the free energy that couples to the correlator of local currents. Use of a proper ultraviolet regularisation procedure that preserves gauge invariance indicates that the contribution of the extra term seems finally to become irrelevant. Within the scope of our analyis, we therefore do not find any deviation of the scaling behaviour of the delta-correlated random magnetic field model from that of the conventional unitary ensemble. We then generalize the discussion to include models of even longer-ranged disorder, plus short-range disorder. When the disorder is sufficiently long-ranged that the local currents become delta-correlated, a new term appears in the free energy that does give rise to logarithmic corrections to the conductivity. A renormalisation group analysis of the free energy yields a scaling form for the diffusion coefficient which contains both a positive correction, that represents classical superdiffusion, and a negative correction, which is the usual weak localization correction. The fact that both corrections are of the same order and opposite sign leads to the interesting possibility of a quantum phase transition at weak disorder in two dimensions, tuned by the relative disorder strengths.
Using Visual Analogue Scales in eHealth: Non-Response Effects in a Lifestyle Intervention

Background Visual analogue scales (VASs) have been shown to be valid measurement instruments and a better alternative to Likert-type scales in Internet-based research, both empirically and theoretically [1,2]. Upsides include more differentiated responses, better measurement level, and less error. Their feasibility and properties in the context of eHealth, however, have not been examined so far. Objective The present study examined VASs in the context of a lifestyle study conducted online, measuring the impact of VASs on distributional properties and non-response. Method A sample of 446 participants with a mean age of 52.4 years (standard deviation (SD) = 12.1) took part in the study. The study was carried out as a randomized controlled trial, aimed at supporting participants over 8 weeks with an additional follow-up measurement. In addition to the randomized questionnaire, participants were further randomly assigned to either a Likert-type or VAS response scale version of the measures. Results Results showed that SDs were lower for items answered via VASs, 2P (Y ≥ 47 | n=55, P=.5) < . 001. Means did not differ across versions. Participants in the VAS version showed lower dropout rates than participants in the Likert version, odds ratio = 0.75, 90% CI (0.58-0.98), P=. 04. Number of missing values did not differ between questionnaire versions. Conclusions The VAS is shown to be a valid instrument in the eHealth context, offering advantages over Likert-type scales. The results of the study provide further support for the use of VASs in Internet-based research, extending the scope to senior samples in the health context. Trial Registration Clinicaltrials.gov NCT01909349; https://clinicaltrials.gov/ct2/show/NCT01909349 (Archived by WebCite at http://www.webcitation.org/6h88sLw2Y)
Local Representation of 3D Free-Form Contours for Pose Estimation

In this paper we present a new representation for 3D free-form contours in the conformal geometric algebra G4, 1. This new representation allows to extract local geometrical feature information which is used to solve the correspondence problem for pose estimation applications. Under perspective projection, local features are extracted from a projected contour segment and compared with image features obtained from the monogenic signal. We tested our approach using synthetical and real data for several pose estimation algorithms
Crossing borders: family migration strategies and routes from Burma to the US

ABSTRACT Over the last 35 years, the US has been the top recipient country for refugee resettlement. Despite political ambivalence about refugee admittance and their integration into America’s sociocultural fabric, little is known in refugee literature about how receiving countries’ refugee and asylum policies structure refugee migratory processes and flows from countries of origin. Based on 21 in-depth interviews and group discussions with Chin-Burmese families, this paper traces migratory strategies and routes from Northern Burma to the US by examining the role of class, family dynamics, cross-border connections and social capital in migratory decision-making for irregular border-crossings and endurance as transit migrants. Additionally, I analyse the critical functions of intermediary social actors and institutions, particularly faith and community-based organisations, for gaining entry to destination countries. I show that examining Chin refugees’ agency and pre-migratory motives demonstrates the heterogeneity of the refugee population, justifying Chimamanda Adichie’s claim that ‘nobody is just a refugee’.
Depression and anxiety in the reindeer-herding Sami population of Sweden

Objectives. The objective of this study was to investigate symptoms and predicting factors of depression and anxiety among reindeer-herding Sami in Sweden. Study design. A total of 319 reindeer-herding Sami (168 men, 151 women) were compared with urban and rural reference populations comprising 1,393 persons (662 men, 731 women). Methods. A cross-sectional questionnaire study on mental health, which included the Hospital Anxiety and Depression Scale (HADS). Data were analysed with regard to population, gender, age group, education and work-related stress. Results. The Sami population disclosed higher mean values for both depression and anxiety than the reference groups, with Sami men reporting the highest rates. Work-related stress was associated with anxiety and depression in the Sami group. Conclusions. By comparing Sami men and women with reference groups of men and women living in urban and rural areas in northern Sweden, this study identified that reindeer-herding Sami men require special attention with regard to mental health problems.
Frequency Control using Cooperative Demand Response through Accumulated Energy

This paper proposes a hierarchical control archi- tecture for engaging demand into providing primary frequency response services. The proposed architecture relies on the use of information about accumulated energy for the aggregation of de- mand capabilities and dissagregation of demand responsibilities. Since the accumulated energy has a distinct additive property, the aggregation/disaggregation of demand becomes straightforward. Additional unique features of the proposed architecture are that it: i) includes the information of inflexible load in the aggregated demand, ii) allows for intuitive cooperation between load aggregators. Conditions for stability under cooperating load aggregators are derived. Finally, simulations are carried out on the IEEE 39-bus system to illustrate the proposed concepts of aggregation, disaggregation and cooperation.
A model for geographical variation in health and total life expectancy

This paper develops a joint approach to life and health expectancy based on 2001 UK Census data for limiting long term illness and general health status, and on registered death occurrences in 2001. The model takes account of the interdependence of different outcomes (e.g. ill health and mortality) as well as spatial correlation in their patterns. A particular focus is on the proportionality assumption or ‘multiplicative model’ whereby separate age and area effects multiply to produce age-area mortality rates. Alternative non-proportional models are developed and shown to be more parsimonious as well as more appropriate to actual area-age interdependence. The application involves mortality and health status in the 33 London Boroughs.
Impact of BMI and the Metabolic Syndrome on the Risk of Diabetes in Middle-Aged Men

OBJECTIVE The existence of an obese subgroup with a healthy metabolic profile and low diabetes risk has been proposed; yet long-term data are lacking. We aimed to investigate associations between combinations of BMI categories and metabolic syndrome and risk of type 2 diabetes in middle-aged men. RESEARCH DESIGN AND METHODS At age 50, cardiovascular risk factors were assessed in 1,675 participants without diabetes in the community-based Uppsala Longitudinal Study of Adult Men (ULSAM) study. According to BMI/metabolic syndrome status, they were categorized as normal weight (BMI <25 kg/m2) without metabolic syndrome (National Cholesterol Education Program criteria, n = 853), normal weight with metabolic syndrome (n = 60), overweight (BMI 25–30 kg/m2) without metabolic syndrome (n = 557), overweight with metabolic syndrome (n = 117), obese (BMI >30 kg/m2) without metabolic syndrome (n = 28), and obese with metabolic syndrome (n = 60). We investigated the associations between BMI/metabolic syndrome categories at baseline and diabetes incidence. RESULTS After 20 years, 160 participants had developed diabetes. In logistic regression models adjusting for age, smoking, and physical activity, increased risks for diabetes were observed in the normal weight with metabolic syndrome (odds ratio 3.28 [95% CI] 1.38–7.81; P = 0.007), overweight without metabolic syndrome (3.49 [2.26–5.42]; P < 0.001), overweight with metabolic syndrome (7.77 [4.44–13.62]; P < 0.001), obese without metabolic syndrome (11.72 [4.88–28.16]; P < 0.001), and obese with metabolic syndrome (10.06 [5.19–19.51]; P < 0.001) categories compared with the normal weight without metabolic syndrome category. CONCLUSIONS Overweight or obese men without metabolic syndrome were at increased risk for diabetes. Our data provide further evidence that overweight and obesity in the absence of the metabolic syndrome should not be considered a harmless condition.
Influence of impulsiveness, suicidality, and serotonin genes on treatment outcomes in alcohol dependence - A preliminary report

Alcohol dependence is a chronic disease with persistent susceptibility to relapse. Most treated alcoholics, regardless of therapy applied, achieve only short-term periods of abstinence and then return to drinking. Research studies show that 35% of treated alcohol-dependent patients fail to maintain abstinence for even 2 weeks after the completed treatment program, and 58% relapse during the first 3 months [1]. Polich et al. [2] reported that over 80% of treated alcohol-dependMarcin Wojnar1,2, Kirk J. Brower2, Andrzej Jakubczyk1, Izabela Żmigrodzka1,2, Margit Burmeister3, Halina Matsumoto1, Elzbieta Woźny1, Elzbieta Śliwerska3, Andrea M. Hegedus2, Anna Klimkiewicz1, Anna Ślufarska1, Michal Lipinski1, Robert A. Zucker2: 1 Department of Psychiatry, Medical University of Warsaw, Nowowiejska 27, 00–665 Warsaw, Poland; 2 University of Michigan Department of Psychiatry and Addiction Research Center, Ann Arbor, USA; 3 Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, USA; Correspondence address: Marcin Wojnar, Andrzej Jakubczyk, Department of Psychiatry, Medical University of Warsaw, 27 Nowowiejska St., 00–665 Warsaw, Poland; E-mails: marcin@psych.waw. pl, and344@wp.pl; The support for this research was provided by Fogarty International Center/NIDA International Substance Abuse Research Program grant D43-TW05818 Influence of impulsiveness, suicidality, and serotonin genes on treatment outcomes in alcohol dependence – a preliminary report