Miracle-dz/UniFAR-FTUs huggingface dataset:
A wireless MIMO CPM system with blind signal separation for incoherent demodulation

A multiple-input multiple-output (MIMO) wireless transmission system with continuous phase modulation (CPM) is considered. A novel MIMO CPM receiver with incoherent modulation is presented. The incoherent demodulation of CPM allows an uncomplicated handling of a frequency offset compared to coherent approaches requiring exact knowledge of the carrier frequency. Blind signal separation (BSS) is applied in the proposed MIMO CPM receiver to separate the signals without any knowledge of the MIMO channel. The BSS permits the demodulation of each separated signal by an incoherent CPM demodulator. For bandwidth efficient transmission partial response CPM and non-binary modulation is applied. The applicability of the proposed system is verified by simulation results.
Junctional adhesion molecules (JAMs): more molecules with dual functions?

Junctional adhesion molecules (JAMs) are members of an immunoglobulin subfamily expressed by leukocytes and platelets as well as by epithelial and endothelial cells, in which they localize to cell-cell contacts and are specifically enriched at tight junctions. The recent identification of extracellular ligands and intracellular binding proteins for JAMs suggests two functions for JAMs. JAMs associate through their extracellular domains with the leukocyte β2 integrins LFA-1 and Mac-1 as well as with the β1 integrin α4β1. All three integrins are involved in the regulation of leukocyte-endothelial cell interactions. Through their cytoplasmic domains, JAMs directly associate with various tight junction-associated proteins including ZO-1, AF-6, MUPP1 and the cell polarity protein PAR-3. PAR-3 is part of a ternary protein complex that contains PAR-3, atypical protein kinase C and PAR-6. This complex is highly conserved through evolution and is involved in the regulation of cell polarity in organisms from Caenorhabditis elegans and Drosophila to vertebrates. These findings point to dual functions for JAMs: they appear to regulate both leukocyte/platelet/endothelial cell interactions in the immune system and tight junction formation in epithelial and endothelial cells during the acquisition of cell polarity.
Bridging the Gap: Cross-border Integration in the Slovak–Hungarian Borderland around Štúrovo–Esztergom

ABSTRACT One of the main narratives of border studies in recent years has been that cross-border interactions rarely result in a thorough integration, with the border remaining a strong dividing line. While not questioning that grand narrative as a whole, this article contributes to nuancing the picture. Through the four analytical lenses proposed by Brunet-Jailly (2005. Theorizing Borders: An Interdisciplinary Perspective. Geopolitics 10, no. 4: 633–649) we investigated the Slovak-Hungarian borderland around Štúrovo and Esztergom, where substantial developments towards a thorough integration of the two sides have actually taken place. The empirical material is based on personal interviews with 26 local elites, statistical data, field observations, etc. Two dimensions emerge as particularly important behind this integration. One is related to market forces: a long-lasting severe economic situation including high unemployment on the rather agriculture-dominated Slovakian side has pushed thousands to daily commute to work on the industrially oriented Hungarian side, where demand for labor has been high. The other key dimension is related to the local cross-border culture, where shared identities and common languages on both sides have led to intensive cultural and educational exchange. These developments were also facilitated by the policy activities of multiple levels of government and the local political clout. Our case contradicts the now common idea that increasing cross-border integration coincides with decreasing cross-border mobility.
Idiosyncratic Risk and the Business Cycle: A Likelihood Perspective

This paper asks whether uninsurable idiosyncratic income risk aects aggregate consumption over the business cycle. I explore this question using an incomplete markets business cycle model in which the extent of idiosyncratic risk varies over the business cycle in line with recent empirical ndings. I present a method for estimating general equilibrium incomplete markets models with rich household heterogeneity using likelihood-based methods. I use the estimated model to construct a counterfactual series for aggregate consumption under complete markets. The results show that time-varying idiosyncratic risk has substantial eects
Graunulocyte‐Macrophage Colony Stimulating Factor (GM‐CSF) and Macrophage Colony Stimulating Factor (CSF‐1) Synergize to Stimulate Progenitor Cells With High Proliferative Potential

Department of Microbiology, Uniformed Services University of the Health Sciences, Bethesda, Maryland The ability to expand a population of bone marrow progenitors capable of forming macrophage colonies of high proliferative potential (HPP‐CFC) was achieved using a culture system and signal requirements not previously shown to support the growth of HPP‐CFC. Using bone marrow cells from untreated animals (not 5‐FU‐treated), culture conditions designed primarily for the detection of GM‐CFC or M‐CFC progenitors, and a more stringent criteria for HPP‐CFC colony size (≥ 2 mm diameter), HPP‐CFC progenitor expansion was demonstrated following simultaneous addition of rGM‐CSF and CSF‐1 to bone marrow cultures. Examination of the sequence and temporal requirements for rGM‐CSF and CSF‐1 addition necessary for the development of HPP‐CFC‐like colonies revealed that addition of the second factor could be delayed for up to 5 days and still result in the development of significant numbers of HPP‐CFC colonies. Based on a comparison with human spleen cell conditioned medium (HSCM) and interleukin 1 (rIL 1), as sources of “synergistic activity” (SA) for the development of HPP‐CFC‐like colonies in combination with CSF‐1, the combination of GM‐CSF and CSF‐1 appears to represent a novel pathway for stimulating the expansion of HPP‐CFC progenitors with high proliferative potential.
REASSESSING THE ROLE OF SUGAR IN THE ETIOLOGY OF HEART DISEASE

The roles of animal fat and sweeteners (mono-and disaccharides) in acute myo-cardial infarction and other ischemic heart disease are examined through multi-country statistical associations between the dietary components and the heart disease mortality rates for 1986 for males and females aged 35-74 in 33 countries. For both acute myocardial infarction and other ischemic heart disease, it is found that dietary animal fat is the primary dietary macronutrient risk factor for mortality among males, with some contribution from sweeteners, while sweeteners are found to be the primary dietary macronutrient risk factor for females. Similar results are found for time-variations of coronary heart disease in Spain, 1965-1990. The likely mechanism linking sweeteners to heart disease is that it raises serum triglycerides and, hence, very low density lipoprotein levels. Similar results were reported in the 1960s, but only for males. While these results appear to be robust, others may want to reexamine these findings through other approaches. Objectives It is widely accepted that consumption of animal fat is a risk factor for coronary heart disease (CHD). 1-4 A perusal of the 1960s literature indicates that there is also a link between dietary sugars and heart disease, although this fact is overlooked in the more recent literature. Yudkin 5 seems to have made the first multi-country link between sugar and coronary heart disease, but could not exclude animal fat from also having a role. In the 1960s, he strengthened the case for sugar. 6,7 Osancová et al. 8 showed that sugar consumption correlated better than fat consumption with cardiovascular disease mortality in Czechoslovakia. Others 9-11 showed that dietary sucrose increased total serum cholesterol levels, while complex carbohydrates could lower serum cholesterol. 10 Sucrose was shown to be associated with increased serum cholesterol or lipoprotein compared with vegetables and legumes (0.1 for a 0.10-0.14 exchange of calories) 12 or purified wheat (up to 0.14 for a 0.15 exchange of calories). 13 In addition, Macdonald 14 showed that women aged 54-68 years had an average 30 mg higher serum cholesterol after being fed diets containing 7.5 g/kg of body weight of sucrose compared to purified wheat starch for 25 days. Keys 15 strongly attacked Yudkin' s claim that dietary sucrose was a major factor in the development of coronary heart disease, pointing out that some countries with high sugar consumption and low CHD incidence were omitted, that dietary fat and sugar are highly correlated, and that …
Lee-Vortex Formation in Free-Slip Stratified Flow over Ridges. Part I: Comparison of Weakly Nonlinear Inviscid Theory and Fully Nonlinear Viscous Simulations

Abstract The formation of lee wakes and vortices is explored in the context of stratified flow with uniform basic-state wind and stability past elongated free-slip ridges. The theory of inviscid flow past a ridge of small nondimensional height ϵ is revisited using a weakly nonlinear semianalytic model to compute flow fields through O(ϵ2). Consistent with previous work, the weakly nonlinear solutions show an O(ϵ2) couplet of vertical vorticity above the lee slope of the appropriate sense to describe the observed circulation in lee vortices. Nonetheless, the actual O(ϵ2) flow fields are found to be inconsistent with the developing lee-vortex structures observed in previous nonlinear numerical experiments. Lee-vortex formation must therefore depend significantly on finite-amplitude and/or dissipative effects not described by the weakly nonlinear inviscid model. The weakly nonlinear results are compared to fully nonlinear numerical simulations of wake formation in viscous and thermally diffusive laminar flow.
Prevalence and predictors of food insecurity among low-income households in Los Angeles County

Abstract Objectives: To assess the prevalence and identify the predictors of food insecurity among households in Los Angeles County with incomes below 300% of the federal poverty level. Methods: The Six-Item Short Form of the US Department of Agriculture's Household Food Security Scale was used as part of a 1999 county-wide, population-based, telephone survey. Results: The prevalence of food insecurity was 24.4% and was inversely associated with household income. Other independent predictors of food insecurity included the presence of children in the household (odds ratio (OR) 1.7, 95% confidence interval (CI) 1.2–2.3) and a history of homelessness in the past five years (OR 5.6, 95% CI 3.4–9.4). Conclusion: Food insecurity is a significant public health problem among low–income households in Los Angeles County. Food assistance programmes should focus efforts on households living in and near poverty, those with children, and those with a history of homelessness.
Advertising Fraud

Over the last decade, online advertising has become a major component of the Web, leading to large annual revenues (e.g., $26.04 billion in US in 2010 [4]). Internet advertising is a very successful form of advertising as it provides an easy and effective way for advertisements to be targeted to individual users’ interests. Unfortunately, fraudsters were able to exploit several vulnerabilities of the online advertising model and started abusing the system in order to make a profit out of it. These attacks are illegal only in a few countries and states (e.g., click fraud is a felony covered by Penal Code 502 in California and the computer misuse act in the UK). In most of the cases, the fraudsters instead violate terms of service of online advertising networks (e.g., in Nigeria where there is no law against this type of cybercrime and in India, where companies even advertised in national newspapers looking for people willing to use computers to click on ads, with no repercussions from authorities). In this chapter, we aim to provide a better understanding of vulnerabilities of online advertising systems, the well-known attacks, and possible countermeasures. We first address the online advertising system model and discuss different revenue models for it. We explain vulnerabilities of these models and classify the identified attacks into four main types: click fraud, malvertising, inflight modification of ad traffic, and adware. For each type of attack, we address how fraudsters can make profit from the existing advertising system. We discuss in more detail some of the attacks reported in practice. Finally, we address the possible countermeasures to each of the attacks. 1.1. 1 Advertising on the Internet Online advertising is a form of marketing that relies on the Internet to deliver marketing messages to the targeted users. Internet advertisement typically comprises a short text, an image, or an animation embedded into a Web page. The purpose of an ad is generally to capture a user’s attention and persuade him to purchase or to consume a particular product or a service and, consequently, to increase the revenue of the advertiser. Advertisers pay for their ads to appear online, thus online advertising has become the major business model for monetizing online content. In contrast to other types of media (e.g., television or radio), online advertisements are not limited to an audience at a given time or a geographic location. An additional benefit is that online advertising allows for the customization of advertisements, thus increasing the probability that a user is interested in the advertised products and services. Hence, many advertisers, realizing the opportunities of online advertising, invest significant budgets into this form of advertising. Consequently, for many of the websites that users visit, a number of advertisements appear together with the content of a Web page. Now let us look at how online advertisements are embedded into the content of Web pages, which techniques are used to tailor ads to users’ interests and the main revenue models in online advertising.
Evaluation of Alcohol Screening, Brief Intervention, and Referral to Treatment (SBIRT) Training for Social Workers

Social work education is well positioned for workforce development initiatives that prepare practitioners to use Screening, Brief Intervention, and Referral to Treatment (SBIRT) with people at risk for alcohol use disorders. This article presents preliminary process and outcome evaluation data from the first year of a three-year grant which suggests that the training is acceptable and results in significant changes in trainees’ knowledge, attitudes, and self-perceived SBIRT skills. Training was embedded within the curricula of an urban school of social work, which includes a Bachelor of Social Work (BSW) program and a single-concentration clinical Master of Social Work (MSW). Trainees included social work students (n = 134) and field instructors (n = 38). More than 90% of students were very satisfied or satisfied with the training, and 100% of field instructors rated the training as excellent or good. Students demonstrated significant changes from pre- to posttraining in substance use knowledge, confidence in SBIRT skills, and attitudes about integrating SBIRT into practice. Field instructors reported increased confidence in screening. Integrating SBIRT training into social work curriculum is a promising method of developing a workforce that can effectively prevent and alleviate alcohol misuse.
Efficient Search (RES) for One-Hop Destination over Wireless Sensor Network

The revolution of wireless sensors networks (WSNs) has highly augmented the expectations of people to get the work done efficiently, but there is little bit impediment to deal with deployed nodes in WSNs. The nature of used routing and medium access control (MAC) protocols in WSNs is completely different from wireless adhoc network protocols. Sensor nodes do not have enough capability to synchronize with robust way, in resulting causes of longer delay and waste of energy. In this paper, we deploy efficientenergy consuming sensors and to find one hop robust and efficient destination search in WSNs. We firstly deploy BT (Bluetooth enabled) sensors, which offer passive and active sensing capability to save energy. This work is a continuation of previous published work in [2]. The BT node is supported with efficient searchmethodss. The main objective of this contribution is to control different types of objects from remote places using cellular phone. To validate our proposed methodology,simulation is done with network simulator (ns2) to examine the behavior of WSNs. Based on simulation results, we claim that our approach saves 62% energy spent for finding best one- hop destination as compared with existing techniques.
Emotional intelligence in front-line/back-office employee relationships

Purpose This paper aims to undertake a simultaneous assessment of interdependence in the behaviours of front-line and back-office employees and their joint effect on customer-related organisational performance. It also tests for a moderating influence of the emotional intelligence of front-line salespeople and back-office employees. Design/methodology/approach The sample comprises 105 front-line sales employees and 77 back-office employees. The customer-related organisational performance data come from a UK business-to-business (B2B) electronics company. With these triadic data, this study uses partial least squares to estimate the measurement and structural models. Findings Salespeople’s customer orientation directly affects customer-related organisational performance; the relationship is moderated by salespeople’s emotional intelligence. The emotional intelligence of salespeople also directly affects the customer-directed citizenship behaviour of back-office employees. Furthermore, the emotional intelligence of back-office staff moderates the link between the emotional intelligence of salespeople and back-office staff citizenship behaviour. Back-office staff citizenship behaviour, in turn, affects customer-related organisational performance. Originality/value The emotions deployed by employees in interactions with customers clearly shape customers’ perceptions of service quality, as well as employee-level performance outcomes. However, prior literature lacks insights into the simultaneous effects of front-line and back-office employee behaviour, especially in B2B settings. This paper addresses these research gaps by investigating triadic relationships – among back-office employees, front-line employees and customer outcomes – in a B2B setting, where they are of particular managerial interest.
Stepmother and Stepson Relationship Within the Shona People, Zimbabwe

ABSTRACT It has been widely assumed that normally mothers relate well and are closer to their sons and girls are closer to their fathers. Indeed, it is true from a layman’s point of view. This article presents a Zimbabwean argument with regard to family relations, especially between either of the parents and the children. Precisely, the study focuses on the stepmother–stepson relationship, which in the majority of cases is defined by hostility, hatred, mistrust, and jealousy. An exploratory study to understand some of the causes of conflicts between stepsons and stepmothers was conducted within the Shona people of Zimbabwe through a triangulated approach of interviews with 70 stepfamily households and an intensive review of archival literature selected from sociological papers and media reports from 1980 to 2014. All the participants were purposefully selected, and the literature reviewed specifically focused on the cases of conflicts between the 2 parties and to some extent, their causes. To analyze the data and create key themes, a constant comparison method was applied. The study established that although there might be several reasons for the 2 parties’ conflicts, the most prominent, especially within the Shona people, include the following: inheritance of the traditional family title by the stepson while the stepmother fights to have it bestowed on her biological son, failure by each of them to recognize their respective roles and positions in the home, and jealousy.
Number ratios of young stellar objects in embedded clusters

Embedded clusters usually contain young stellar objects in different evolutionary stages. We investigate number ratios of objects in these classes in the star-forming regions ρ Ophiuchi, Serpens, Taurus, Chamaeleon I, NGC 7129, IC 1396A and IC 348. They are compared to the temporal evolution of young stars in numerical simulations of gravoturbulent fragmentation in order to constrain the models and to determine the evolutionary stage of the clusters. Serpens is the youngest and IC 348 the most evolved cluster, although the time when the observations are best represented by the models varies strongly depending on the model. We find an inverse correlation of the star formation efficiency (SFE) of the models with the Mach number. However, the observational SFE values cannot be reproduced by the current isothermal models. This argues for models that take into account protostellar feedback processes and/or the effects of magnetic fields.
Preparing, restructuring, and augmenting a French treebank:lexicalised parsers or coherent treebanks?

We present the Modified French Treebank (MFT), a completely revamped French Treebank, derived from the Paris 7 Treebank (P7T), which is cleaner, more coherent, has several transformed structures, and introduces new linguistic analyses. To determine the effect of these changes, we investigate how theMFT fares in statistical parsing. Probabilistic parsers trained on the MFT training set (currently 3800 trees) already perform better than their counterparts trained on five times the P7T data (18,548 trees), providing an extreme example of the importance of data quality over quantity in statistical parsing. Moreover, regression analysis on the learning curve of parsers trained on the MFT lead to the prediction that parsers trained on the full projected 18,548 tree MFT training set will far outscore their counterparts trained on the full P7T. These analyses also show how problematic data can lead to problematic conclusions–in particular, we find that lexicalisation in the probabilistic parsing of French is probably not as crucial as was once thought (Arun and Keller (2005)).
Front and Rear Vehicle Detection Using Hypothesis Generation and Verification

Vehicle detection in traffic scenes is an important issue in driver assistance systems and self-guided vehicles that includes two stages of Hypothesis Generation (HG) and Hypothesis Verification (HV). The both stages are important and challenging. In the first stage, potential vehicles are hypothesized and in the second stage, all hypotheses are verified and classified into vehicle and non-vehicle classes. In this paper, we present a method for detecting front and rear on-road vehicles without lane information and prior knowledge about the position of the road. In the HG stage, a three-step method including shadow, texture and symmetry clues is applied. In the HV stage, we extract Pyramid Histograms of Oriented Gradients (PHOG) features from a traffic image as basic features to detect vehicles. Principle Component Analysis (PCA) is applied to these PHOG feature vectors as a dimension reduction tool to obtain the PHOG-PCA vectors. Then, we use Genetic Algorithm (GA) and linear Support Vector Machine (SVM) to improve the performance and generalization of the PHOG-PCA features. Experimental results of the proposed HV stage showed good classification accuracy of more than 97% correct classification on realistic on-road vehicle dataset images and also it has better classification accuracy in comparison with other approaches.