Miracle-dz/UniFAR-FTUs huggingface dataset:
Health sensing by wearable sensors and mobile phones: A survey

With the global trend of population aging in industrialized countries, efficient information and communication technologies (ICT) for aiding elders or patients' healthcare have attracted great research attentions. Among these technologies, health state sensing by wearable sensors and mobile phones is an important foundation. It monitors the real-time body states; stores, or sends the result to remote family members or doctors. In this way, it can either help people to pay more attention to the overlooked phenomenon, such as the clue of dangerous disease, or help people to issue panic alert when emergency happens. There are many critical issues in health sensing. First, the sensors must be non-intrusive to people's comfort and safety, while providing good accuracy. At the same time, because of being worn by people, numerous noises posed by body motions must be efficiently processed for reducing false alarming. At last, different health or decease signals generally require different sensing technologies and instrument. To tease out the technology advantages that address these challenges and diversities, this paper presented a survey on the state of the art of health sensing technologies using body sensor networks and mobile phones. It classify related works by their application goals, including i) fall detection, ii) gait analyzing, iii) activity qualification, iv) heart state sensing, and v) sleep sensing. It also conducts summary and comparison of related sensing systems and algorithms, to reveal the development lines in each subarea.
Genetic Programming for Feature Discovery and Image Discrimination

We apply Genetic Programming (GP) to the development of a processing tree for the classification of features extracted from images: measurements from a set of input nodes are weighted and combined through linear and nonlinear operations to form an output response. No constraints are placed upon size, shape, or order of processing within the network. This network is used to classify feature vectors extracted from IR imagery into target/nontarget categories using a database of 2000 training samples. Performance is tested against a separate database of 7000 samples. This represents a significant scaling up from the problems to which GP has been applied to date. Two experiments are performed: in the first set, we input classical "statistical" image features and minimize misclassification of target and non-target samples. In the second set of experiments, GP is allowed to form it's own feature set from primitive intensity measurements. For purposes of comparison, the same training and test sets are used to train two other adaptive classifier systems, the binary tree classifier and the Backpropagation neural network. The GP network achieves higher performance with reduced computational requirements. The contributions of GP "schemata," or subtrees, to the performance of generated trees are examined. Genetic Programming for Feature Discovery and Image Discrimination 1
A network motif based approach for classifying online social networks

Complex networks facilitate the understanding of natural and man-made processes and are classified based on the concepts they model: biological, technological, social or semantic. The relevant subgraphs in these networks, called network motifs, are demonstrated to show core aspects of network functionality. They are used to classify complex networks based on that functionality. We propose a novel approach of classifying complex networks based on their topological aspects using motifs. We define the classifiers for regular, random, small-world and scale-free topologies, as well as apply this classification on empirical networks. The study brings a new perspective on how we can classify and differentiate online social networks like Facebook, Twitter and Google Plus based on the distribution of network motifs over the fundamental network topology classes.
Early Childhood Preservice Teachers' Use of Verbal and Non-Verbal Guidance Strategies Across Classroom Contexts

Observations of preservice teachers often lack information about specific strategies they use when guiding children's behavior. This study investigated how preservice teachers used verbal and non-verbal behavior modification techniques within structured and transition classroom contexts. Using an on-the-mark 20-second observe and 10-second record method, eleven preservice teachers were observed in classrooms for two morning hours. A repeated measures MANOVA revealed two significant two-way interactions, which included types of modification techniques and types of contexts (Wilks's λ = .38, F(2, 9) = 7.37, p . 05, Cohen's f = . 88) and types of communication skills and types of contexts (Wilks's λ = .64, F(1, 10) = 5.53, p . 05, Cohen's f = . 74). Implications for future research and practice include more focused observations of preservice teachers and children's responses to various verbal and non-verbal strategies along with more education about how to use positive guidance strategies in real-life classroom situations.
Chromatin Remodeling Factors Isw2 and Ino80 Regulate Checkpoint Activity and Chromatin Structure in S Phase

When cells undergo replication stress, proper checkpoint activation and deactivation are critical for genomic stability and cell survival and therefore must be highly regulated. Although mechanisms of checkpoint activation are well studied, mechanisms of checkpoint deactivation are far less understood. Previously, we reported that chromatin remodeling factors Isw2 and Ino80 attenuate the S-phase checkpoint activity in Saccharomyces cerevisiae, especially during recovery from hydroxyurea. In this study, we found that Isw2 and Ino80 have a more pronounced role in attenuating checkpoint activity during late S phase in the presence of methyl methanesulfonate (MMS). We therefore screened for checkpoint factors required for Isw2 and Ino80 checkpoint attenuation in the presence of MMS. Here we demonstrate that Isw2 and Ino80 antagonize checkpoint activators and attenuate checkpoint activity in S phase in MMS either through a currently unknown pathway or through RPA. Unexpectedly, we found that Isw2 and Ino80 increase chromatin accessibility around replicating regions in the presence of MMS through a novel mechanism. Furthermore, through growth assays, we provide additional evidence that Isw2 and Ino80 partially counteract checkpoint activators specifically in the presence of MMS. Based on these results, we propose that Isw2 and Ino80 attenuate S-phase checkpoint activity through a novel mechanism.
Multi – Armed Bandit for Pricing

This paper is about the study of Multi–Armed Bandit (MAB) approaches for pricing applications, where a seller needs to identify the selling price for a particular kind of item that maximizes her/his profit without knowing the buyer demand. We propose modifications to the popular Upper Confidence Bound (UCB) bandit algorithm exploiting two peculiarities of pricing applications: 1) as the selling price increases it is rational to assume that the probability for the item to be sold decreases; 2) since usually people compare prices from different sellers and track price changes over time before buying (specially for online purchases), the number of times that a certain kind of item is purchased is only a small fraction of the number of times that its price is visualized by potential buyers. Leveraging on these assumptions, we consider refinements of the concentration inequality used in the UCB1 algorithm, that result to be significantly tighter than the original one, specially in the early learning stages when only a few samples are available. We provide empirical evidence on the effectiveness of the proposed variations in speeding up the learning process of UCB1 in pricing applications.
Clinical Significance of Incident Hypokalemia and Hyperkalemia in Treated Hypertensive Patients in the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial

Concerns exist that diuretic-induced changes in serum potassium may have adverse effects in hypertensive patients. The Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial, a large practice-based clinical trial, made it possible to examine consequences of observed changes in potassium during care in conventional practice settings. Normokalemic participants randomized to chlorthalidone (C) versus amlodipine or lisinopril as a first-step drug were stratified by year-1 potassium. Postyear-1 outcomes among hypokalemics (potassium, <3.5 mmol/L) and hyperkalemics (potassium, >5.4 mmol/L) were compared with normokalemics (potassium, 3.5–5.4 mmol/L). Year-1 hypokalemia incidence was 6.8%; incidence in C (12.9%) differed from amlodipine (2.1%; P<0.001) and lisinopril (1.0%; P<0.01). Hyperkalemia incidence (2.0%) was greater in lisinopril (3.6%) than in C (1.2%; P<0.01) or amlodipine (1.9%; P<0.01). Coronary heart disease occurred in 8.1% with hypokalemia, 8.0% with normokalemia, and 11.1% with hyperkalemia. Overall, mortality was higher in hypokalemics than in normokalemics (Cox hazard ratio, 1.21 [95% CI, 1.02–1.44]) with statistically significant (interaction, P<0.01) disparity in hazard ratios for the 3 treatment arms (hazard ratios, C=1.21, amlodipine=1.60, lisinopril=3.82). Hyperkalemia was associated with increased risk of combined cardiovascular disease (hazard ratio, 1.58 [95% CI, 1.15–2.18]) without significant treatment interactions. In conventional practice settings, the uncommon appearance of hyperkalemia was associated with increased cardiovascular disease risk. Hypokalemia was associated with increased mortality; however, the statistically significant heterogeneity in hazard ratios across treatment groups strongly suggests that the observed increase in mortality is unrelated to the specific effects of C. Thus, for most patients, concerns about potassium levels should not influence the clinician's decision about initiating hypertension treatment with low-moderate doses of thiazide diuretics (12.5–25.0 mg of C).
Binge Eating Disorder

In 1994, binge eating disorder (BED) was introduced as a disorder requiring further study in the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV). It is now listed as a distinct eating disorder in the DSM-5, along with bulimia nervosa and anorexia nervosa. This article summarizes the information currently available on BED, so social workers will be knowledgeable as they work with clients with obesity, BED, and other eating disorders. Diagnostic criteria for BED are reviewed, as well as changes in the criteria since the diagnosis was first introduced. Prevalence estimates, available assessment instruments, and comorbidity are discussed. An overview of the systematic reviews and meta-analyses that have examined the treatment of clients meeting the criteria for BED is presented, and, finally, questions and issues that have been suggested for future research are offered.
Early onset familial Alzheimer’s disease

Background: Three causative genes have been identified for autosomal dominant AD. Objective: To determine the proportion of patients with early onset AD with a positive family history accounted for by mutations in these genes. Methods: A mutational analysis of the amyloid precursor protein (APP), presenilin 1 (PSEN1), and presenilin 2 (PSEN2) genes was performed in 31 probands with probable or definite AD from UK families with an age at onset (AAO) <61 years. Results: The mean AAO was 46.9 years (median 45 years; range 33 to 60 years). The majority of patients (23 of 31; 74%) fulfilled recognized criteria for autosomal dominant inheritance. In 17 (55%) probands the authors identified eight novel PSEN1 sequence variants and eight recognized pathogenic mutations. In 4 (13%) probands the authors identified one novel APP sequence variant (H677R) and two recognized mutations. Thus in this series 21 of 31 (68%) probands were associated with a sequence variant in APP or PSEN1. Nine of the 11 (82%) probands with neuropathologically confirmed AD who additionally fulfilled recognized criteria for autosomal dominant inheritance were associated with a sequence variant in APP or PSEN1. The 10 patients in whom the authors were unable to identify a mutation in APP, PSEN1, or PSEN2 were older than the probands with sequence variants (55.4 vs 44.7 years: p = 0.001). Conclusions: Sequence variants in APP and PSEN1 accounted for the majority of neuropathologically confirmed autosomal dominant early onset AD; no mutations in PSEN2 were detected. There may be a further genetic factor involved in the etiology of autosomal dominant early onset AD.
Antecedents of early career stage mentoring among Chinese employees

This study examined the mediating influence of protege-initiated mentoring relationships on the relationship between personality and situational characteristics and mentoring received. Data were obtained from Hong Kong Chinese graduate employees (N=184) in their early career stage. Results of the regression analysis showed that protege-initiated mentoring relationships mediated the relationship between the personality (extraversion) but not the situational (individual development culture and opportunities for interactions on the job) characteristics and mentoring received. In other words, extraversion was indirectly related to mentoring received through protege-initiated mentoring relationships but individual development culture and opportunities for interactions on the job were directly related to mentoring received. Additionally, opportunities for interactions on the job indirectly influenced mentoring received through protege-initiated mentoring relationships. Limitations of the study, implications of the findings and directions for future research are discussed. Copyright © 1999 John Wiley & Sons, Ltd.
Relative contributions of burst and tonic responses to the receptive field properties of lateral geniculate neurons in the cat.

1. In an anesthetized, paralyzed in vivo preparation, we recorded extracellular responses of 61 geniculate neurons (2 W, 25 X, 33 Y, and 1 mixed) to drifting sine-wave gratings of various spatial frequency, temporal frequency, and contrast. Our goal was to study the differential contributions to these visual responses of bursting caused by voltage dependent, low-threshold (LT) Ca2+ spikes and of purely tonic responses unrelated to LT spikes. Cells responding with LT spikes are said to be in the burst firing mode and those responding in a purely tonic fashion to be in the relay or tonic firing mode. We separated the total visual response into LT burst and tonic components by use of the empirical criteria set forth in our intracellular study described in the previous paper (Lu et al. 1992). A response component was considered to be an LT burst if its action potentials displayed interspike intervals < or = 4 ms and if the first spike in the burst episode occurred after a silent period of > or = 100 ms (or > or = 50 ms when the neuron responds to visual stimuli at temporal rates > or = 8 Hz). All other activity is considered to be part of the tonic response. 2. In addition to LT bursts, we recognized another type of burst response, the high-threshold (HT) burst. These also have clusters of action potentials with interspike intervals < or = 4 ms. However, HT bursts, unlike LT bursts, lack a preburst silent period. HT bursts are part of the tonic response component and merely reflect the gradual decrease in interspike intervals that occurs as the cell becomes more depolarized and thus more responsive. Thus interspike interval is a necessary but insufficient criterion to identify LT bursts. 3. Visually evoked LT bursts were recorded among W, X, and Y cells. When evoked, LT bursts occurred in phase with drifting sine-wave grating stimuli at a rate never exceeding one per stimulus cycle. In response to individual cycles of the visual stimulus, LT bursts could comprise the total response, a tonic component could comprise the total response, or an LT burst and tonic component could be mixed. When a stimulus evoked a mixture of LT bursts and tonic response components, LT bursts were always the first response. 4. Of the 61 cells tested with grating stimuli, 47 exhibited LT bursts and 14 did not. Those that did exhibited varying amounts of burstiness. (ABSTRACT TRUNCATED AT 400 WORDS)
Interrater reliability of hand-held dynamometry.

Two raters performed hand-held dynamometer testing of six muscle groups of 30 patients to determine the interrater reliability of the procedure. The six muscle groups tested were the shoulder external rotators, elbow flexors, wrist extensors, hip flexors, knee extensors, and ankle dorsiflexors. The patients were of eight different diagnostic groups, with most having hemiparesis secondary to cerebrovascular accidents. We used Pearson product-moment correlations and t tests to compare the two raters' score. The correlation coefficients ranged from . 84 to . 94 (p less than .001). Only two muscle groups (ie, shoulder external rotators and wrist extensors) had mean scores that differed (p less than .05) between raters. Although the interrater reliability of the procedure was found to be good to high in the six muscle groups tested, the results of the t tests indicate that hand-held dynamometry should undergo further evaluation.
Scheduling heterogeneous processors isn't as easy as you think

We consider preemptive online scheduling algorithms to minimize the total weighted/unweighted flow time plus energy for speed-scalable heterogeneous multiprocessors. We show that the well-known priority scheduling algorithms Highest Density First, Weighted Shortest Elapsed Time First, and Weighted Late Arrival Processor Sharing, are not O(1)-speed O(1)-competitive for the objective of weighted flow even in the special case of fixed variable speed processors (aka the related machines setting). This illustrates that scheduling heterogeneous multiprocessors is a different, and algorithmically more challenging problem, than scheduling homogeneous multiprocessors. We then show that a variation of the non-clairvoyant algorithm Late Arrival Processor Sharing coupled with a non-obvious speed scaling algorithm is scalable for the objective of unweighted flow plus energy on speed-scalable multiprocessors. This is the first provably scalable non-clairvoyant algorithm on heterogeneous multi-processors, even in the related machines setting, for the objective of total (unweighted) flow time.
Expression of bone morphogenetic proteins in human osteosarcoma. Immunohistochemical detection with monoclonal antibody

Background. Bone morphogenetic proteins (BMP) induce ectopic bone formation in vivo and may play a role in normal bone development. In addition, bone morphogenetic activity, as measured in a bone‐forming assay in immunodeficient, athymic nu/nu mice, is present in a proportion of osteosarcomas; this activity, which may be mediated by BMP, is correlated with a poor prognosis.
Processes of cumulative adversity: childhood disadvantage and increased risk of heart attack across the life course.

OBJECTIVES This article examines how processes of cumulative adversity shape heart attack risk trajectories across the life course. METHODS Our sample includes 9,760 Health and Retirement Study respondents born between 1931 and 1941. Using self-reported retrospective measures of respondents' early background, we first identify three latent classes with differential exposure to childhood disadvantage. Intervening covariates associated with educational attainment, employment status, income attainment, marital history, and health behaviors are added to capture sequential processes of adversity. Final latent-class cluster models estimate the cumulative impact of these covariates on three different heart attack risk trajectories between 1992 and 2002: high, increasing, and low. RESULTS Early disadvantage and childhood illness have severe enduring effects and increase the risk for heart attack. Adult pathways, however, differentially influence trajectories of heart attack risk and mediate the effects of early disadvantage. DISCUSSION Findings suggest that future research should consider how processes of cumulative adversity initiated in childhood influence health outcomes in older ages.
Development of a Self‐Management Theory‐Guided Discharge Intervention for Parents of Hospitalized Children

BACKGROUND Parents of hospitalized children, especially parents of children with complex and chronic health conditions, report not being adequately prepared for self-management of their child's care at home after discharge. PROBLEM No theory-based discharge intervention exists to guide pediatric nurses' preparation of parents for discharge. PURPOSE To develop a theory-based conversation guide to optimize nurses' preparation of parents for discharge and self-management of their child at home following hospitalization. METHODS Two frameworks and one method influenced the development of the intervention: the Individual and Family Self-Management Theory, Tanner's Model of Clinical Judgment, and the Teach-Back method. A team of nurse scientists, nursing leaders, nurse administrators, and clinical nurses developed and field tested the electronic version of a nine-domain conversation guide for use in acute care pediatric hospitals. CONCLUSIONS The theory-based intervention operationalized self-management concepts, added components of nursing clinical judgment, and integrated the Teach-Back method. CLINICAL RELEVANCE Development of a theory-based intervention, the translation of theoretical knowledge to clinical innovation, is an important step toward testing the effectiveness of the theory in guiding clinical practice. Clinical nurses will establish the practice relevance through future use and refinement of the intervention.
Automatic generation of test case based on GATS algorithm

A kind of software test data automated generation method based on genetic algorithm and tabu search algorithm is proposed. Having both local search capabilities of tabu search algorithm and global search capability of genetic algorithm, this tabu genetic algorithm combines tabu search algorithm with genetic algorithm. The experiment results show that the tabu genetic algorithm with tabu search as mutation operator is effective on generating test cases and its optimizing performance is superior to the simple genetic algorithm.
Fisher vector encoded deep convolutional features for unconstrained face verification

We present a method to combine the Fisher vector representation and the Deep Convolutional Neural Network (DCNN) features to generate a rerpesentation, called the Fisher vector encoded DCNN (FV-DCNN) features, for unconstrained face verification. One of the key features of our method is that spatial and appearance information are simultaneously processed when learning the Gaussian mixture model to encode the DCNN features. Evaluations on two challenging verification datasets show that the proposed FV-DCNN method is able to capture the salient local features and also performs well when compared to many state-of-the-art face verification methods.