Miracle-dz/UniFAR-FTUs huggingface dataset:
Everyday negotiations of in/securities and risks: an ethnographic study amongst Czech- and Slovak-speaking migrants in Glasgow

The post-accession migration to the UK from the eight Central and Eastern European countries that joined the European Union in 2004 has attracted a significant amount of attention in public discourse as well as from scholars and policy-makers. On the one hand, these migrants are praised for their contributions to the local or national economy, for their work ethic and self-reliance as mostly young and well-educated labour migrants; on the other hand, post-enlargement migration is depicted as a threat to local public services and the British welfare system, or to British society more generally. Our knowledge about the 'new European migrants' in the UK, however, is limited in so far as the existing literature tends to adopt these interests and perspectives of the 'host society' or analyse migrants' experiences through an ethnic lens. Based on ethnographic fieldwork conducted over a twelve-month period, this thesis provides an empirically-grounded, contextually rich and theoretically informed understanding of how Czech- and Slovak-speaking migrants who arrived in Glasgow after 2004 negotiate insecurities and risks and build social security in their everyday lives in the city. The thesis offers novel insights and contributes to existing theoretical, methodological, and empirical research on the nexus of (post-accession) migration, social security, and risk. Methodologically, by focusing on a language-based group across ethnic, national, and cultural boundaries and by analytically probing the heterogeneity of the research group, the study challenges simplistic generalisations and the uncritical adoption of ethnocentric concepts and ideas. Each of the empirically-driven chapters develops both the theoretical and empirical argument in its own right, exploring, for example, the various processes through which a 'risk population' was produced in the field; my informants' notion of zkancelovali with regard to state-provided support in Glasgow; the significance of past experiences and everyday knowledges in negotiations of risk and in/securities; or the notion of 'exploring potentialities of care' in Glasgow and beyond. Theoretically, the thesis fruitfully integrates socio-cultural concepts of risk with an anthropological reconceptualisation of social security and refines these in relation to migrants' lived experiences. Overall, this ethnographic study argues for the value of shifting our gaze from a sole focus on migrants as research objects to wider processes and contexts in which migrants' specific meaning-making activities and everyday practices of negotiating in/securities and risks are situated and embedded.
Comparison of Monolithic Optical Frequency Comb Generators Based on Passively Mode-Locked Lasers for Continuous Wave mm-Wave and Sub-THz Generation

In this paper, two different Passive Mode-Locked Laser Diodes (PMLLD) structures, a Fabry-Perot cavity and a ring cavity laser are characterized and evaluated as monolithic Optical Frequency Comb Generators (OFCG) for CW sub-THz generation. An extensive characterization of the devices under study is carried out based on an automated measurement system that systematically evaluates the dynamic characteristics of the devices, focusing on the figures of merit that define the optimum performance of a pulsed laser source when considered as an OFCG. Sub-THz signals generated with both devices at 60 GHz and 90 GHz are presented and analyzed in terms of electrical linewidth to compare such components for mm-Wave and sub-THz photonic generation. This work offers a systematic comparison of PMLLD devices for OFCG operation and provides reference information of the performance of two different device topologies that can be used for the implementation of photonic integrated sub-THz CW generation.
Fast semi-supervised classification based on bisecting clustering

In this paper, we propose a fast semi-supervised learning algorithm based on the bisecting clustering. The key idea of the proposed algorithm is dividing data into two sub clusters each time by using bisecting clustering and parts of the features of the data. The time complexity of the algorithm is nearly linear to the data size. Numerical comparisons with several existing methods for the UCI datasets and benchmark datasets verify the effectiveness of our method.
Robust tests of association for multilocus haplotypes in nuclear families

Genetic epidemiology relies heavily on tests of association between genetic variants and disease outcomes or quantitative traits. Associations imply either that a genetic variant has a direct causal influence on the trait, or that the variant is a marker that is physically close on a chromosome to a causal variant. Despite the popularity of association tests, there is a wide and sometimes confusing variety of available methods, owing partly to the nature of genetic data. For example, different methods are available for discrete or quantitative traits, to deal with missing genotypic data, and to analyse family-based designs or samples of unrelated subjects. One consequence of this situation is that it is difficult to combine samples from different studies into a pooled analysis, without resorting to meta-analysis approaches. Furthermore, different methods often carry different assumptions about the data. It is desirable to have a general approach for studying genetic association that includes the widest range of study designs with the fewest number of assumptions. Here I propose a general and flexible model for genetic association, motivated by the problem of uncertain multilocus haplotypes in nuclear families. Family-based designs, consisting of a proband, its two parents and some number of full siblings, are popular because they control for population stratification and provide well-matched controls (Cardon and Palmer 2003). A haplotype is a set of variants observed along the same chromosome, and is useful in association studies because it carries more information than a single locus, potentially giving greater power to detect association. However, haplotypes are usually not directly observed: it is more common to observe genotypic data at the individual loci, which gives the set of alleles carried by a subject but gives no information on how the alleles are jointly allocated to the two chromosomes. Uncertain haplotypes are a form of missing data, and methods are available to deal with the uncertainty, either by some forms of weighted analysis (eg. Zaykin et al. 2002, Dudbridge 2003) or by using missing-data likelihood methods (eg. Clayton 1999, Epstein and Satten 2003). Here I focus on the missing-data likelihood approach in a generalised linear model, which offers a flexible method for testing a wide range of hypotheses together with a natural way to include additional covariates. Previous applications of these models to uncertain haplotypes have all required, at some point, some assumption of independence for the chromosomes within a family. Here I propose a model that allows testing of uncertain-haplotype and missing-genotype data under much more general conditions. The main result is a linear model based on additive effects of haplotypes that includes nuisance parameters for homozygosity in parents and offspring.
Chapter 9 HUMAN IMPACTS ON LAND COVER AND PANDA HABITAT IN WOLONG NATURE RESERVE Linking Ecological , Socioeconomic , Demographic , and Behavioral Data

Understanding patterns, processes, and consequences of land-cover change requires close linkages among various ecological, socioeconomic, demographic, and behavioral data. In this chapter, we present an interdisciplinary study of human impacts on land cover and panda habitat in Wolong Nature Reserve (China). Wolong is one of the largest reserves (200,000 ha) designated for giant panda conservation, but it also includes more than 4,000 local residents whose activities have a substantial impact People and the Environment on panda habitat. We have developed a conceptual framework that outlines the rationale for the linkage of varlous data. Our household and community surveys were linked with remote sensing and geographic information systems at three stages: data collect~on, data analysis, and systems modeling and simulation. The integration of various sources of data offers useful insight into the underlying mechanisms behind changes in land cover and panda habitat and allows us to project future ecological and demographic changes under different policy scenarios.
The Need for Interagency Collaboration for Children with Emotional and Behavioral Disabilities and Their Families

Children and youth with emotional and behavioral disabilities often have multiple needs that can require the simultaneous involvement of several child-serving agencies (e.g., child welfare, special education, juvenile justice, and mental health). Unfortunately, disparate definitions and eligibility criteria that are used to identify these disabilities have prevented agencies from collaborating or even communicating about the children with whom they work, resulting in a pervasive lack of coordination among service providers. During the past 15 years, however, there has been an increase in the number of multiagency, community-based programs for children and youth with emotional and behavioral disabilities, sometimes referred to as “systems of care. ” In this paper, information about commonly used federal definitions of emotional and behavioral disabilities and a description of how variance in definitions and eligibility criteria contributes to the inability of agencies to work together to meet the needs of children and families are presented. Additionally, methods for developing community-level, interagency eligibility criteria for serving children who have needs that cross agency boundaries are addressed. Finally, a recently created system of care, the Dawn Project, located in Marion County, Indiana, is described.
Accountability, Strategy, and International Nongovernmental Organizations

Increased prominence and greater influence expose international nongovernmental development and environment organizations (INGOs) to increased demands for accountability from a wide variety of stakeholders, including donors, beneficiaries, staffs, and partners. This article focuses on developing the concept of INGO accountability, first as an abstract concept and then as a strategic idea with very different implications for different INGO strategies. The authors examine implications for INGOs that emphasize service delivery, capacity building, and policy influence. They propose that INGOs committed to service delivery may owe more accountability to donors and service regulators, capacity-building INGOs may be particularly obligated to clients whose capacities are being enhanced, and policy influence INGOs may be especially accountable to political constituencies and influence targets. INGOs that are expanding their activities to include new initiatives may need to reorganize their accountability systems to implement their strategies effectively.
A 28GHz Low-Phase-Noise CMOS VCO Using an Amplitude-Redistribution Technique

Increasing demands for multi-Gb/s data transmission make the mm-wave wireless communication systems more attractive. The VCO is an essential block in these systems. This paper describes an amplitude-redistribution technique which improves phase noise performance of mm-wave cross-coupled VCOs by controlling the distribution of voltage swings on the oscillator nodes. A 28GHz VCO, fabricated in a 0.13mum CMOS process, uses this technique and demonstrates low phase-noise performance of -112.9dBc/Hz at 1MHz offset.
An Effective Prediction of Cervical Cancer with Hybridization of K-Means with RFT Algorithms

The cervical cancer is the second-deadliest illness for women worldwide. Cervical cancer is hidden in women until it is advanced and incurable, thus numerous trials and research projects have been conducted to find it early. Due to the lack of appropriate datasets, accurate cervical cancer prediction has proven to be the most difficult and complex task in medical data mining. Numerous studies have been conducted to provide various methods that can fix issues and increase the accuracy of cervical cancer prognosis through photographs. As a result, researchers face a difficult and time-consuming procedure that necessitates a highly effective and complex algorithm that draws from a wide range of knowledge, experience, and methodologies. At first, the Cervical Cancer dataset is completely loaded, including its primary properties and the origin of the data. After a new method termed “whitening” is applied as pre-processing to the data set, the data mining algorithm RFT is used to clean up the data. After explaining why a combination of machine learning and data mining is necessary, the paper presents the proposed technique. The problem is solved, and the algorithm is defended as the most effective one for predicting cases of cervical cancer. The most effective prediction method is a hybrid of RFT and K-Means. To aid the researcher in drawing conclusions about the optimal algorithm to utilise for reliable prediction, several algorithms are constructed and their accuracy levels are projected using sensitivity, specificity, and F-Score as prediction factors.
Adaptive attitude control of the spherical drone on SO(3)

We propose an adaptive attitude control for a spherical drone, having one propeller and four control surfaces mounted on orthogonal discs. The attitude motions are produced due to deflections of the flaps, in the slip stream of the propeller induced airflow. A coordinate-free (geometric) control law is developed to eliminate configurational singularities in control design, thereby enhancing the agility of the drone. The control law is directly on the nonlinear manifold, i.e., SO(3), without any Euclidean parametrization. A dynamic compensator is incorporated into the geometric control law; this enables the system to adapt to the uncertain parameters while achieving the original control objective. Simulations of the proposed control law are presented and discussed.
A DVB-T2 receiver realization based on a software-defined radio concept

When DVB-T (Digital Video Broadcasting - Terrestrial) was introduced in the 1990s, it was impossible to foresee the upcoming demand for HDTV devices. Thus, a revision of this broadcasting standard, namely DVB-T2, was necessary. Recently finalized, this standard is targeting to high-definition television (HDTV). To pave the way to commercialization, an appropriate implementation concept and its corresponding validation are of utmost importance. Without a doubt, the most challenging requirements introduced by the DVB-T2 specification are an FFT (Fast Fourier Transform) size of up to 32k samples, 256-QAM (Quadrature Amplitude Modulation) and LDPC (Low-Density Parity-Check) coding with a block size of 64800 bits. Within this manuscript, the authors present a software-defined radio based realization of a demonstrator platform. This platform employs a combined DSP (Digital Signal Processor) and FPGA (Field-Programmable Gate Array) solution being capable of meeting these requirements.
Prediction of device temperatures in an electric vehicle battery charger system by analysis of device thermal cross-coupling

This paper presents a practical implementation of the measurement and use of thermal cross-coupling data. Thermal cross-coupling, the thermal transfer impedance between the heat generation of one power device and the temperature of another, is characterised using pseudo-random binary sequences for a typical H-bridge arrangement. Knowledge of the cross-coupling between each pair of devices allows temperature profiles to be predicted for arbitrary input power waveforms. The technique is verified by applying arbitrary power waveforms to all devices in the experimental arrangement and measuring the temperature response. Good agreement is shown between predicted and practical device temperature waveforms, demonstrating the viability of the technique.
Predictors of Mortality and Morbidity in Acute Ischemic Stroke

Ad dress for Cor res pon den ce/Ya z›fl ma Ad re si: Dürdane Aksoy MD, Gaziosmanpaşa University Medical Faculty, Department of Neurology, Tokat, Turkey Gsm: +90 542 815 33 13 E-pos ta: dbekar @yahoo.com Re cei ved/Ge liş ta ri hi: 23.08. 2011 Ac cep ted/Ka bul ta ri hi: 08.03. 2012 © Arc hi ves of Neu ropsy chi atry, pub lis hed by Ga le nos Pub lis hing / © Nö rop si ki yat ri Ar şi vi Der gi si, Ga le nos Ya yı ne vi ta ra f›n dan ba s›l m›fl t›r. ABS TRACT Objectives: Stroke, despite improvements in treatment is still a serious cause of mortality and morbidity. The most important prognostic factors of stroke are known as the neurological condition of the patient in first hours, the size of the lesion that imaging revealed, and the age. In this study, prognostic indicators such as erythrocyte sedimentation rate (ESR), folate, vitamin B12 (vit B12), mean corpuscular volume (MCV), white blood cell (WBC) count, hematocrit, glucose were investigated to help determining the course of the treatment. Method: In this retrospective study 272 ischemic stroke patients admitted to our emergency department and neurology clinic within the first 24 hours were included. Early laboratory findings were recorded. The patients were categorized into two groups as good and poor prognosis, based on their modified rankin scores at the time of hospital discharge. Patients’ ages, laboratory results, length of the hospitalization, and medical histories were compared. Results: Hypertension was found to be the highest ranked stroke risk factor among the patients. Statistically significant difference was detected on age, MCV, folic acid, WBC, and ESR between groups with good and poor prognosis. Logistic regression analysis revealed that advanced age, high MCV and low folate are associated with poor prognosis. Discussion: Advanced age is the most important predictor of poor outcome. High MCV and low folate levels are also contribute to the mortality and morbidity rates. Both parameters are related to hyperhomocysteinemia, which is one of the risk factors of stroke. Therefore, prospective studies investigating the effect of homocysteine, folic acid, vit B12, MCV on the prognosis of stroke are required. (Arc hi ves of Neu ropsy chi atry 2013; 50: 40-44)
Age-related differences in the initial usability of mobile device icons

Mobile devices offer much potential to support older adults (age 65+). However, older adults have been relatively slow to adopt mobile devices. Although much ongoing HCI research has examined usability problems to address this issue, little work has looked at whether existing graphical icons are harder to use for this population compared with younger adults. We conducted a qualitative exploratory study and a follow-up experimental study to determine which icon characteristics help initial icon usability for older adults. We found that our older participants did have more problems using existing mobile device icons, but that particular icon characteristics – semantically close meaning (i.e. natural, close link between depicted objects and associated function), familiar, labelled and concrete (i.e. those depicting real-world objects) – improved icon usability for them. We discuss how these findings can help icon designers to create mobile device icons that are more suited to the abilities and technology experience of older adults.
TvMP50 is an Immunogenic Metalloproteinase during Male Trichomoniasis*

Trichomonas vaginalis, a human urogenital tract parasite, is capable of surviving in the male microenvironment, despite of the presence of Zn2+. Concentrations > 1.6 mm of Zn2+ have a trichomonacidal effect; however, in the presence of ≤1.6 mm Zn2+, several trichomonad proteins are up- or down-regulated. Herein, we analyzed the proteome of a T. vaginalis male isolate (HGMN01) grown in the presence of Zn2+ and found 32 protein spots that were immunorecognized by male trichomoniasis patient serum. Using mass spectrometry (MS), the proteins were identified and compared with 23 spots that were immunorecognized in the proteome of a female isolate using the same serum. Interestingly, we found a 50-kDa metallopeptidase (TvMP50). Unexpectedly, this proteinase was immunodetected by the serum of male trichomoniasis patients but not by the female patient serum or sera from healthy men and women. We analyzed the T. vaginalis genome and localized the mp50 gene in locus TVAG_403460. Using an RT-PCR assay, we amplified a 1320-bp mp50 mRNA transcript that was expressed in the presence of Zn2+ in the HGMN01 and CNCD147 T. vaginalis isolates. According to a Western blot assay, native TvMP50 was differentially expressed in the presence of Zn2+. The TvMP50 proteolytic activity increased in the presence of Zn2+ in both isolates and was inhibited by EDTA but not by ptosyl-L-lysine chloromethyl ketone (TLCK), E64, leupeptin, or phenylmethane sulfonyl fluoride. Furthermore, the recombinant TvMP50 had proteolytic activity that was inhibited by EDTA. These data suggested that TvMP50 is immunogenic during male trichomoniasis, and Zn2+ induces its expression.
Binding Mode Analysis of Bacillus subtilis Obg with Ribosomal Protein L13 through Computational Docking Study

Introduction: GTPases known as translation factor play a vital role as ribosomal subunit assembly chaperone. The bacterial Obg proteins (-associated -binding protein) belong to the subfamily of P-loop GTPase proteins and now it is considered as one of the new target for antibacterial drug. The majority of bacterial Obgs have been commonly found to be associated with ribosome, implying that these proteins may play a fundamental role in ribosome assembly or maturation. In addition, one of the experimental evidences suggested that Bacillus subtilis Obg (BsObg) protein binds to the L13 ribosomal protein (BsL13) which is known to be one of the early assembly proteins of the 50S ribosomal subunit in Escherichia coli. In order to investigate binding mode between the BsObg and the BsL13, protein-protein docking simulation was carried out after generating 3D structure of the BsL13 structure using homology modeling method. Materials and Methods: Homology model structure of BsL13 was generated using the EcL13 crystal structure as a template. Protein-protein docking of BsObg protein with ribosomal protein BsL13 was performed by DOT, a macro-molecular docking software, in order to predict a reasonable binding mode. The solvated energy minimization calculation of the docked conformation was carried out to refine the structure. Results and Discussion: The possible binding conformation of BsL13 along with activated Obg fold in BsObg was predicted by computational docking study. The final structure is obtained from the solvated energy minimization. From the analysis, three important H-bond interactions between the Obg fold and the L13 were detected: Obg:Tyr27-L13:Glu32, Obg:Asn76-L13:Glu139, and Obg:Ala136-L13:Glu142. The interaction between the BsObg and BsL13 structures were also analyzed by electrostatic potential calculations to examine the interface surfaces. From the results, the key residues for hydrogen bonding and hydrophobic interaction between the two proteins were predicted. Conclusion and Prospects: In this study, we have focused on the binding mode of the BsObg protein with the ribosomal BsL13 protein. The interaction between the activated Obg and target protein was investigated with protein-protein docking calculations. The binding pattern can be further used as a base for structure-based drug design to find a novel antibacterial drug.