Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving classifications for cardiac autonomic neuropathy using multi-level ensemble classifiers and feature selection based on random forest

This paper is devoted to empirical investigation of novel multi-level ensemble meta classifiers for the detection and monitoring of progression of cardiac autonomic neuropathy, CAN, in diabetes patients. Our experiments relied on an extensive database and concentrated on ensembles of ensembles, or multi-level meta classifiers, for the classification of cardiac autonomic neuropathy progression. First, we carried out a thorough investigation comparing the performance of various base classifiers for several known sets of the most essential features in this database and determined that Random Forest significantly and consistently outperforms all other base classifiers in this new application. Second, we used feature selection and ranking implemented in Random Forest. It was able to identify a new set of features, which has turned out better than all other sets considered for this large and well-known database previously. Random Forest remained the very best classifier for the new set of features too. Third, we investigated meta classifiers and new multi-level meta classifiers based on Random Forest, which have improved its performance. The results obtained show that novel multi-level meta classifiers achieved further improvement and obtained new outcomes that are significantly better compared with the outcomes published in the literature previously for cardiac autonomic neuropathy.
Activities and Academic Achievement

A quantitative scale of preferences for activities (APAS) which differentiates between high and low achievers as measured by GPA, was developed and validated. Mean APAS scale scores for high and low achievers were significantly different (p < .001). Intercorrelation between APAS scores, high school rank, CEEB-Verbal scores, CEEB-Mathematics scores, and GPA of college freshmen showed that the APAS scale predicts GPA (r = .35) almost as well as the CEEB-Verbal test (r = .36) and better than the CEEB-Mathematics test (r = .13). Computation of a multiple-regression equation pointed to the usefulness of the APAS scale in prediction.
An Evaluation of a Group Program for Men Who Batter

This article describes a research study which evaluated a group service for men who batter. Change was evaluated both by self report and as interpreted from the Hemler Scale of Social Functioning. It was demonstrated that male batterers who entered into the group treatment process showed significant change with respect to human social functioning and in the cessation of physical violence towards their partners. Although the personal journey along which a batterer takes responsibility for his actions and finds appropriate coping mechanisms is intensely individual, this study adds to the literature which confirms that a supportive group experience can facilitate this process.
New Skills for Workers

Critiques the visions of management gurus in comparison to the measures which they offer to “deliver” them. Argues that organization development requires a qualitatively different look at workers and work going beyond behavioural prescription. Presents the concept of the new skills mix supported by arguments that integrate and develop more systematic analyses informed by frames of reference often regarded as mutually exclusive – this leads to a critical examination of proactivity and empowerment.
Current status of PET/CT in the diagnosis and follow up of lymphomas

Lymphomas are a heterogeneous group of malignancies that have a distinct biological behavior according to the subtype and degree of differentiation. Adequate staging, which has a direct impact on prognosis, is essential to properly plan therapy. Structural cross-sectional imaging, such as computed tomography, has been the standard imaging tool to stage and monitor patients with lymphoma. However, molecular imaging such as positron emission tomography has shown complementary diagnostic and prognostic values. This review discusses the current value of positron emission tomography imaging using 2-[fluorine-18]fluoro-2-deoxy-d-glucose in staging, restaging, monitoring and detecting relapse in Hodgkin's and non-Hodgkin lymphoma.
Analysis of the codon usage pattern in Middle East Respiratory Syndrome Coronavirus

Middle East Respiratory Syndrome Coronavirus (MERS-CoV), which first broken out in Jeddah in 2012, causes a severe acute respiratory illness with a high mortality rate. To better understand the molecular characteristics of isolated MERS-CoV genomes, we first analysed the codon usage pattern of the zoonotic MERS-CoV strains comprehensively to gain an insight into the mechanism of cross-species transmission. We found that MERS human/camel isolates showed a low codon usage bias. Both mutation and nature selection pressure have contributed to this low codon usage bias, with the former being the main determining factor. We also observed that gene function, evolution time and the different host species of the virus all contributed to the bias of MERS-CoV, to some extent. Additionally, the codon usage pattern of MERS-CoV isolates is different from other related Nidovirales viruses isolated from bats and hedgehogs. In the future, more epidemiological surveys are required to examine the factors that resulted in the emergence and outbreak of this virus.
Malaria Impairs T Cell Clustering and Immune Priming despite Normal Signal 1 from Dendritic Cells

Interactions between antigen-presenting dendritic cells (DCs) and T cells are essential for the induction of an immune response. However, during malaria infection, DC function is compromised and immune responses against parasite and heterologous antigens are reduced. Here, we demonstrate that malaria infection or the parasite pigment hemozoin inhibits T cell and DC interactions both in vitro and in vivo, while signal 1 intensity remains unaltered. This altered cellular behaviour is associated with the suppression of DC costimulatory activity and functional T cell responses, potentially explaining why immunity is reduced during malaria infection.
Crustal deformation of the Yellowstone–Snake River Plain volcano-tectonic system: Campaign and continuous GPS observations, 1987–2004

[1] The Yellowstone–Snake River Plain tectonomagmatic province resulted from Late Tertiary volcanism in western North America, producing three large, caldera-forming eruptions at the Yellowstone Plateau in the last 2 Myr. To understand the kinematics and geodynamics of this volcanic system, the University of Utah conducted seven GPS campaigns at 140 sites between 1987 and 2003 and installed a network of 15 permanent stations. GPS deployments focused on the Yellowstone caldera, the Hebgen Lake and Teton faults, and the eastern Snake River Plain. The GPS data revealed periods of uplift and subsidence of the Yellowstone caldera at rates up to 15 mm/yr. From 1987 to 1995, the caldera subsided and contracted, implying volume loss. From 1995 to 2000, deformation shifted to inflation and extension northwest of the caldera. From 2000 to 2003, uplift continued to the northwest while caldera subsidence was renewed. The GPS observations also revealed extension across the Hebgen Lake fault and fault-normal contraction across the Teton fault. Deformation rates of the Yellowstone caldera and Hebgen Lake fault were converted to equivalent total moment rates, which exceeded historic seismic moment release and late Quaternary fault slip-derived moment release by an order of magnitude. The Yellowstone caldera deformation trends were superimposed on regional southwest extension of the Yellowstone Plateau at up to 4.3 ± 0.2 mm/yr, while the eastern Snake River Plain moved southwest as a slower rate at 2.1 ± 0.2 mm/yr. This southwest extension of the Yellowstone–Snake River Plain system merged into east-west extension of the Basin-Range province.
Effect of Various Loads on the Force-Time Characteristics of the Hang High Pull

Abstract Suchomel, TJ, Beckham, GK, and Wright, GA. Effect of various loads on the force-time characteristics of the hang high pull. J Strength Cond Res 29(5): 1295–1301, 2015—The purpose of this study was to investigate the effect of various loads on the force-time characteristics associated with peak power during the hang high pull (HHP). Fourteen athletic men (age: 21.6 ± 1.3 years; height: 179.3 ± 5.6 cm; body mass: 81.5 ± 8.7 kg; 1 repetition maximum [1RM] hang power clean [HPC]: 104.9 ± 15.1 kg) performed sets of the HHP at 30, 45, 65, and 80% of their 1RM HPC. Peak force, peak velocity, peak power, force at peak power, and velocity at peak power were compared between loads. Statistical differences in peak force (p = 0.001), peak velocity (p < 0.001), peak power (p = 0.015), force at peak power (p < 0.001), and velocity at peak power (p < 0.001) existed, with the greatest values for each variable occurring at 80, 30, 45, 80, and 30% 1RM HPC, respectively. Effect sizes between loads indicated that larger differences in velocity at peak power existed as compared with those displayed by force at peak power. It seems that differences in velocity may contribute to a greater extent to differences in peak power production as compared with force during the HHP. Further investigation of both force and velocity at peak power during weightlifting variations is necessary to provide insight on the contributing factors of power production. Specific load ranges should be prescribed to optimally train the variables associated with power development during the HHP.
The Effects of Age on Stroop Interference in Clinical vs. Healthy Groups of Children

The Effects of Age on Stroop Interference in Clinical vs. Healthy Groups of Children The Stroop task is widely used to assess attentional dysfunction due to a frontal or frontoparietal deficit and is also thought to be related to the maturation of the prefrontal cortex. The study aimed to prove the diagnostic usefulness of the Polish Names and Colors Interference Test (TINiK) in a clinical setting and to investigate the pattern of performance on four TINiK subtasks according to the type of brain damage (focal or diffuse) and age of the patients. A total of 107 subjects (62 female, 45 male) aged 11-18 were divided into two groups: children aged 10;4-14;6 and adolescents aged 14;7-17;10 within each diagnostic category: healthy (H - 35), heterogeneous focal brain damage (BD - 36) and cardiac arrhythmia (CA - 36). The number of correct responses in the 60s time limit was collected for each TINiK task. The H group significantly outperformed both clinical groups. The H and CA groups show improvement of performance systematically with age on all TINiK subtasks although at a different level. The BD group displayed merely non-significant developmental improvement especially among the adolescent group. A discriminant analysis using the four basic TINiK scores was able to significantly differentiate the BD from the H group (83.1%) and the BD from the CA group (74.6%), but less well the CA from the H group (63.9%). TINiK has acquired preliminary neuro-psychological validation in Polish children. Developmental improvement in interference control may be hampered by various neuropathological mechanisms which are yet to be identified.
Memory accuracy in the recall of emotions.

Les auteurs etudient dans quelle mesure les sujets sont capables d'estimer correctement l'intensite et la frequence de leurs emotions positives ou negatives. On s'interesse egalement a determiner dans quelle mesure l'une de ces deux dimensions (intensite et frequence) peut biaiser le rappel de l'autre
Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies

The discovery of genes linked with a large array of diseases has been accelerated by genome-wide association studies (GWAS), in which genetic variants in different individuals are examined for relationship with a specified phenotype. Most GWAS analyses require modeling the association between single nucleotide polymorphisms (SNPs) and the outcome of interest as additive, dominant, or recessive. In general, this relationship is not known. The genotypes of a marker can be regarded as ordered categorical. An additive model assumes linearity, and approaches that categorize the data ignore order information, resulting in loss of power. Therefore, a method that only assumes a monotonic relationship between SNPs and the outcome of interest may be more robust and powerful than standard approaches. In this thesis, we explore the use of such a method using pharmacogenomics data from a clinical trial that randomized 1858 HIV-infected patients to one of four antiretroviral regimen combinations (tenofovir+efavirenz, tenofovir+atazanavir, abacavir+efaverinz, and abacavir+atazanavir). We are specifically interested in detecting SNPs that are associated with tenofovir clearance and creatinine clearance. We assess the performance of the new method versus the additive, dominant, and recessive models via simulation studies and real data analyses, and compare and contrast findings.
Fundamental limits of remote estimation of Markov processes under communication constraints

The fundamental limits of remote estimation of Markov processes under communication constraints are presented. The remote estimation system consists of a sensor and an estimator. The sensor observes a discrete-time Markov process, which is a symmetric countable state Markov source or a Gauss-Markov process. At each time, the sensor either transmits the current state of the Markov process or does not transmit at all. Communication is noiseless but costly. The estimator estimates the Markov process based on the transmitted observations. In such a system, there is a trade-off between communication cost and estimation accuracy. Two fundamental limits of this trade-off are characterized for infinite horizon discounted cost and average cost setups. First, when each transmission is costly, we characterize the minimum achievable cost of communication plus estimation error. Second, when there is a constraint on the average number of transmissions, we characterize the minimum achievable estimation error. Transmission and estimation strategies that achieve these fundamental limits are also identified.
DTW-Based Subsequence Similarity Search on AMD Heterogeneous Computing Platform

Subsequence similarity search is one of the most common subroutines in time series data mining algorithms. According to previous studies, Dynamic Time Warping (DTW) distance is the best distance measurement in many domains. However, the high computational complexity of DTW distance makes it a critical bottleneck in many subsequence similarity search applications. In some applications, the performance of software implementation still could not meet the high requirements of applications. Under the circumstance, some hardware implementations of DTW-based algorithms were proposed in the data mining community, using GPUs and FPGAs. In this paper, we propose a full system implementation for subsequence similarity search on AMD heterogeneous computing platform, including complete normalization pre-processing, two kinds of improved lower bound for pruning, and a novel segmented parallel DTW calculation process, which efficiently utilizes the capacity of CPU and GPU on the platform. Our work achieves one to two orders of magnitude speedup compared to software implementation and several times speedup to other GPU or FPGA implementations.
Complement fixation and tissue culture assays for mouse leukemia viruses.

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Summarizing and Mining Skewed Data Streams

Many applications generate massive data streams. Summarizing such massive data requires fast, small space algorithms to support post-hoc queries and mining. An important observation is that such streams are rarely uniform, and real data sources typically exhibit significant skewness. These are well modeled by Zipf distributions, which are characterized by a parameter, z, that captures the amount of skew. We present a data stream summary that can answer point queries with e accuracy and show that the space needed is only O(e−min{1,1/z}). This is the first o(1/e) space algorithm for this problem, and we show it is essentially tight for skewed distributions. We show that the same data structure can also estimate the L2 norm of the stream in o(1/e) space for z > 12 , another improvement over the existing Ω(1/e) methods. We support our theoretical results with an experimental study over a large variety of real and synthetic data. We show that significant skew is present in both textual and telecommunication data. Our methods give strong accuracy, significantly better than other methods, and behave exactly in line with their analytic bounds.
Impact of Work Experiences on Attitudes toward Sexual Harassment.

The data used in the research reported here were collected with the support of a National Institute of Mental Health (NIMH) grant USPHS-MH-32606-01 to the second author. The authors gratefully acknowl.edge the assistance of Dale Berger, Pamela Cooper, and Allan Wicker in the preparation of this manuscript. We would also like to thank Gerald R. Salancik, Associate Editor of Administrative Science Quarterly, and the three anonymous ASQ reviewers for the contributions they made through the publication review process. The EEOC guidelines on sexual harassment place a great deal of importance on the recipient's evaluation of his or her experience. Research has consistently shown that women, more than men, consider sexual behavior at work to be sexual harassment. In this study, three theories are proposed to account for individuals' perceptions of sexual harassment. The first is that there is a basic difference between men and women in personal orientation toward sexual harassment and how they define it; the second is that differential sexual experiences at work account for differences in perceptions; and the third is that differences in perceptions are accounted for by gender-role "spillover" that is, when a job comes to be seen as primarily a man's or a woman's job the gender role spills over into the work role. Analysis of data from a representative sample of 1,232 working men and women in Los Angeles County showed some support for all three theories. The complementary contributions of the three theories and their implications for organizational behavior are discussed. *
The attitudes and friendship intentions of children in United Kingdom mainstream schools towards peers with physical or intellectual disabilities

This study investigated typically developing children's attitudes to physical and intellectual disabilities using the Peer Attitudes Toward the Handicapped Scale (PATHS). Participants were 202 children aged from 9 to 12 years in mainstream classes in the UK. The effect of knowledge about disabilities on attitudes was investigated by controlling whether children received a description of either a child with cerebral palsy or a child with Down syndrome before or after completing the PATHS. Children's friendship intentions towards the described child were also elicited. More positive attitudes toward intellectual disabilities were expressed by children provided with information about Down syndrome. More negative attitudes toward physical disability were expressed by children provided with information about cerebral palsy. This pattern was mostly attributable to the responses of girls who appeared to be more sensitive to the provision of information. Only children's attitudes to physical disability predicted friendship intentions.
Identification and Functional Characterization of P159L Mutation in HNF1B in a Family with Maturity-Onset Diabetes of the Young 5 (MODY5)

Mutation in HNF1B, the hepatocyte nuclear factor-1β (HNF-1β) gene, results in maturity-onset diabetes of the young (MODY) 5, which is characterized by gradual impairment of insulin secretion. However, the functional role of HNF-1β in insulin secretion and glucose metabolism is not fully understood. We identified a family with early-onset diabetes that fulfilled the criteria of MODY. Sanger sequencing revealed that a heterozygous P159L (CCT to CTT in codon 159 in the DNA-binding domain) mutation in HNF1B was segregated according to the affected status. To investigate the functional consequences of this HNF1B mutation, we generated a P159L HNF1B construct. The wild-type and mutant HNF1B constructs were transfected into COS-7 cells in the presence of the promoter sequence of human glucose transporter type 2 (GLUT2). The luciferase reporter assay revealed that P159L HNF1B had decreased transcriptional activity compared to wild-type (p < 0.05). Electrophoretic mobility shift assay showed reduced DNA binding activity of P159L HNF1B. In the MIN6 pancreatic β-cell line, overexpression of the P159L mutant was significantly associated with decreased mRNA levels of GLUT2 compared to wild-type (p < 0.05). However, INS expression was not different between the wild-type and mutant HNF1B constructs. These findings suggests that the impaired insulin secretion in this family with the P159L HNF1B mutation may be related to altered GLUT2 expression in β-cells rather than decreased insulin gene expression. In conclusion, we have identified a Korean family with an HNF1B mutation and characterized its effect on the pathogenesis of diabetes.
Social Relationships and Health Among Chinese Americans With Diabetes: Does Age Make a Difference?

This study examined whether social relationships were linked to health among Chinese Americans with diabetes, and whether age moderated these links given the norm of respect for the elderly. Chinese American immigrants with type 2 diabetes (n= 163) provided questionnaire and laboratory data. Relationships were assessed with diabetes family instrumental support, emotional support, and conflicts, as well as general support. Health was assessed with subjective health, depressive symptoms, and glucose regulation. When relationship predictors were examined simultaneously, more conflicts and less general support were associated with more depressive symptoms, after adjusting for covariates. More emotional support was associated with better glucose regulation only for midlife, not older, participants. Findings underscore cultural and life-stage considerations in studying social determinants of health.