Miracle-dz/UniFAR-FTUs huggingface dataset:
Continuous body and hand gesture recognition for natural human-computer interaction

Intelligent gesture recognition systems open a new era of natural human-computer interaction: Gesturing is instinctive and a skill we all have, so it requires little or no thought, leaving the focus on the task itself, as it should be, not on the interaction modality. We present a new approach to gesture recognition that attends to both body and hands, and interprets gestures continuously from an unsegmented and unbounded input stream. This article describes the whole procedure of continuous body and hand gesture recognition, from the signal acquisition to processing, to the interpretation of the processed signals. Our system takes a vision-based approach, tracking body and hands using a single stereo camera. Body postures are reconstructed in 3D space using a generative model-based approach with a particle filter, combining both static and dynamic attributes of motion as the input feature to make tracking robust to self-occlusion. The reconstructed body postures guide searching for hands. Hand shapes are classified into one of several canonical hand shapes using an appearance-based approach with a multiclass support vector machine. Finally, the extracted body and hand features are combined and used as the input feature for gesture recognition. We consider our task as an online sequence labeling and segmentation problem. A latent-dynamic conditional random field is used with a temporal sliding window to perform the task continuously. We augment this with a novel technique called multilayered filtering, which performs filtering both on the input layer and the prediction layer. Filtering on the input layer allows capturing long-range temporal dependencies and reducing input signal noise; filtering on the prediction layer allows taking weighted votes of multiple overlapping prediction results as well as reducing estimation noise. We tested our system in a scenario of real-world gestural interaction using the NATOPS dataset, an official vocabulary of aircraft handling gestures. Our experimental results show that: (1) the use of both static and dynamic attributes of motion in body tracking allows statistically significant improvement of the recognition performance over using static attributes of motion alone; and (2) the multilayered filtering statistically significantly improves recognition performance over the nonfiltering method. We also show that, on a set of twenty-four NATOPS gestures, our system achieves a recognition accuracy of 75.37%.
A simple technique for morphological measurement of cerebral arterial circle variations using public domain software (Osiris)

This article describes a straightforward method to measure the dimensions and identify morphological variations in the cerebral arterial circle using the general-purpose software program Osiris. This user-friendly and portable program displays, manipulates, and analyzes medical digital images, and it has the capability to determine morphometric properties of selected blood vessels (or other anatomical structures) in humans and animals. To ascertain morphometric variations in the cerebral arterial circle, 132 brains of recently deceased fetuses, infants, and adults were dissected. The dissection procedure was first digitized, and then the dimensions were measured with Osiris software. Measurements of each vessel's length and external diameters were used to identify and classify morphological variations in the cerebral arterial circle. The most commonly observed anatomical variations were uni- and bilateral hypoplasia of the posterior communicating artery. This study demonstrates that public domain software can be used to measure and classify cerebral arterial circle vessels. This method could be extended to examine other anatomical regions or to study other animals. Additionally, knowledge of variations within the circle could be applied clinically to enhance diagnostic and treatment specificity.
Regulation of Male Rat Copulatory Behavior by Preoptic Incertohypothalamic Dopamine Neurons'

of male rat copulatory behavior by preoptic incertohypothalamic dopamine neurons. BRAIN RES BULL 20(3) 323-331, 1988. -The role of dopaminergic terminals in the medial preoptic area (MPO) in the regulation of male rat copulatory behavior was investigated. A 6-hydroxydopamine (6OHDA) injection into the MPO of animals pretreated with desipramine resulted in a small (23%) depletion of DA, and no impairment of copulatory activity. Further depletion of catecholamines with alpha-methyl p-tyrosine (AMPT) produced several deficits in the copulatory behavior of 6-OHDA-treated males, at a dose of AMPT that did not adversely affect copulation prior to 6-OHDA administration. The dose-related effects of intracranial apomotphine (APO) injections were also altered by 6-OHDA injections into the MPO. The inhibition previously found with 0.2 pg of APO into the lateral ventricle of normal males was abolished by 6-OHDA treatment. A facilitation of copulatory behavior was observed following the injection of 0.2 pg of APO into the MPO of 6-OHDA-treated animals, whereas this treatment did not affect the copulatory behavior of intact animals. Finally, inhibitory effects observed following an injection of 0.1 pg of APO into the MPO of normal males were blocked by 6-OHDA administration. The relative roles of presynaptic autoreceptors and postsynaptic DA receptors in the MPO in mediating the dose-related effects of APO on copulatory behavior are discussed. Sexual behavior Incertohypothalamic Dopamine Medial preoptic area Autoreceptors 6Hydroxydopamine Apomorphine Alpha-methyl p-tyrosine CLINICAL observations have long suggested that do-paminergic drugs have a facilitative effect on sexual responses of men. For example, I-DOPA treatment has been reported to increase libido of Parkinson's disease patients [6,11], and to increase the incidence and degree of penile erection in sexually impotent men [7]. Similarly, apomor-phine (APO), a dopamine (DA) receptor agonist, was reported to induce penile erection in alcoholics [45,46]. These clinical findings were based on self-report measures. However , more convincing evidence of a dopaminergic influence in sexual responses is found in recent reports that systemic administration of APO induced penile erection in normal [34] and impotent men [35], as measured by strain gauges attached to the penis. Dopaminergic facilitation of sexual function in male rats has also been reported (for more detail see review in [9]). Briefly, the systemic administration of DA agonists reduced the number of intromissions prior to ejaculation, and decreased ejaculation latency [ 12, 24, 40, 511. A central neural site of action was suggested since these effects were not affected by domperidone [24], a …
Simple computational technique to quantify nuclear shape asymmetry

The nucleus of an eukaryotic cell is a membrane‐bound organelle containing a major part of the cellular genome. Nuclear shape is controlled by forces generated in the cytoskeleton, nuclear envelope and matrix of the nucleus and may change when the balance of these forces is disturbed. In certain cases, such changes may be indicative of cell pathology. Nuclear shape feature is being commonly addressed in both experimental research and diagnostics; nevertheless its symmetry‐related aspects receive little attention. This article introduces a technique allowing to estimate nuclear shape asymmetry in digital images captured from cyto‐ or histological preparations. Implemented in a software package, this technique quantifies the asymmetry using two scenarios. The first one presumes the identification of nuclear pixels laying outside the largest inscribed circle. According to the second scenario, the algorithm searches for nuclear pixels lacking pixel‐partners symmetric with respect to the nuclear area's centroid. In both cases, the proportion of “asymmetric” pixels is used to estimate the feature of interest. The technique was validated on images of cell nuclei having distinctive shape phenotypes. A conclusion was made that shape asymmetry feature may be useful accessory to the toolbox of nuclear morphometry. © 2014 International Society for Advancement of Cytometry
Adaptive NKG2C+ NK Cell Response and the Risk of Cytomegalovirus Infection in Kidney Transplant Recipients

CMV infection in kidney transplant recipients (KTRs) has been associated with an increased risk for graft loss and reduced host survival. CMV promotes persistent expansions of NK cells expressing the CD94/NKG2C receptor. The NKG2C (KLRC2) gene is frequently deleted, and copy number influences the adaptive response of NKG2C+ NK cells. The distribution of NKG2C+ NK cells and NKG2C genotypes (NKG2C+/+, NKG2C+/del, NKG2Cdel/del) were studied in cross-sectional (n = 253) and prospective (n = 122) KTR cohorts. Assessment of CMV viremia was restricted to symptomatic cases in the retrospective study, but was regularly monitored in the prospective cohort. Overall, the proportions of NKG2C+ NK cells were significantly higher in KTRs who had suffered posttransplant symptomatic CMV infection in the cross-sectional study. Yet, along the prospective follow-up (3, 6, 12, and 24 mo), posttransplant NKG2C+ NK cell expansions were not observed in every patient with detectable viremia who received preemptive antiviral therapy, suggesting that the adaptive NK cell response may be inversely related with the degree of CMV control. Remarkably, the incidence of posttransplant viremia was reduced among cases with high pretransplant levels of NKG2C+ NK cells. The NKG2C genotype distribution was comparable in KTR and healthy controls, and greater proportions of NKG2C+ cells were detected in NKG2C+/+ than in NKG2C+/del patients. Yet, a trend toward increased NKG2C+/del and reduced NKG2C+/+ frequencies associated with symptomatic infection was appreciated in both cohorts. Altogether, our results indirectly support that adaptive NKG2C+ NK cells are involved in the control of CMV in KTRs.
The role of diet and nutrition on mental health and wellbeing

Mental, neurological and substance-use disorders presently represent the greatest global burden of disease. Likewise, depression and other psychopathologies are elevated risk comorbidities of other health hazards, such as obesity. Nutrition has been implicated in behaviour, mood and in the pathology and treatment of mental illness. In this brief editorial, we aim to set the scale of the problem in context and overview advances and recent evidence linking nutrition to psychological outcomes. The purpose of the 2016 Nutrition Society Winter Meeting, ‘Diet, nutrition and mental health and wellbeing’ was to review where the evidence is strong, where there are unmet needs for research and to draw together the communities working in this area to share their findings. The papers presented demonstrated clear advancements that are being made in this field. The meeting illustrated compelling support for nutrition as a modifiable risk factor. The present research in the field and evidence presented at the 2016 Nutrition Society Winter Meeting lead us to postulate that even interventions with relatively modest effect sizes may plausibly and significantly curtail the disease burden of mental and neurological disease by food- and nutrient-based approaches.
Production of zebrafish offspring from cultured spermatogonial stem cells

Germ‐line stem cells have the potential to be a very powerful tool for modifying the genetic information of individual animals. As a first step to use spermatogonial stem cells (SSCs) to enable genetic modification, we here describe effective long‐term culture conditions for propagating zebrafish SSCs and for the production of offspring from these cultured SSCs after their differentiation into sperm in transplanted testicular cell aggregates. Dissociated testicular cells were cultured in specific medium with some modified supplements, including several mammalian growth factors. The spermatogonia actively proliferated and retained the expression of exogenous green fluorescent protein under the control of vas and sox17 promoters and also of promyelocytic leukemia zinc finger (Plzf), a marker of undifferentiated spermatogonia, after 1 month in culture. This is a longer period than the entire natural spermatogenic cycle (from SSCs to sperm). The use of subcutaneously grafted aggregates of these cultured spermatogonia and freshly dissociated testicular cells showed that these SSCs could undergo self‐renewal and differentiation into sperm. Artificial insemination of these grafted aggregates successfully produced offspring. This culture method will facilitate the identification of new factors for the maintenance of SSCs and enable the future enrichment of genetically modified SSCs that will produce offspring in zebrafish.
House Prices and Marital Stability * House Prices and Marital Stability

participants at Hunter College for comments and conversations that have improved this paper. We are responsible for any remaining errors. Abstract We investigate the effect of house price changes on MSA-level divorce rates using data for 1991-2010 from the Current Population Survey and the Federal Housing Finance Agency. Our findings suggest that changing house prices significantly affect divorce rates, and that these effects are asymmetric with respect to housing gains versus losses. In addition, we find differential effects for groups that are more likely to be homeowners versus renters. Some of this evidence is consistent with homeowners being locked into their homes by increased transactions costs in down markets.
A fast iterative algorithm for fisher discriminant using heterogeneous kernels

We propose a fast iterative classification algorithm for Kernel Fisher Discriminant (KFD) using heterogeneous kernel models. In contrast with the standard KFD that requires the user to predefine a kernel function, we incorporate the task of choosing an appropriate kernel into the optimization problem to be solved. The choice of kernel is defined as a linear combination of kernels belonging to a potentially large family of different positive semidefinite kernels. The complexity of our algorithm does not increase significantly with respect to the number of kernels on the kernel family. Experiments on several benchmark datasets demonstrate that generalization performance of the proposed algorithm is not significantly different from that achieved by the standard KFD in which the kernel parameters have been tuned using cross validation. We also present results on a real-life colon cancer dataset that demonstrate the efficiency of the proposed method.
Predicting Rising Follower Counts on Twitter Using Profile Information

When evaluating the cause of one's popularity on Twitter, one thing is considered to be the main driver: Many tweets. There is debate about the kind of tweet one should publish, but little beyond tweets. Of particular interest is the information provided by each Twitter user's profile page. One of the features are the given names on those profiles. Studies on psychology and economics identified correlations of the first name to, e.g., one's school marks or chances of getting a job interview in the US. Therefore, we are interested in the influence of those profile information on the follower count. We addressed this question by analyzing the profiles of about 6 Million Twitter users. All profiles are separated into three groups: Users that have a first name, English words, or neither of both in their name field. The assumption is that names and words influence the discoverability of a user and subsequently his/her follower count. We propose a classifier that labels users who will increase their follower count within a month by applying different models based on the user's group. The classifiers are evaluated with the area under the receiver operator curve score and achieves a score above 0.800.
Enabling Robust and Efficient Distributed Computation in Dynamic Peer-to-Peer Networks

Motivated by the need for designing efficient and robust fully-distributed computation in highly dynamic networks such as Peer-to-Peer (P2P) networks, we study distributed protocols for constructing and maintaining dynamic network topologies with good expansion properties. Our goal is to maintain a sparse (bounded degree) expander topology despite heavy churn (i.e., Nodes joining and leaving the network continuously over time). We assume that the churn is controlled by an adversary that has complete knowledge and control of what nodes join and leave and at what time and has unlimited computational power, but is oblivious to the random choices made by the algorithm. Our main contribution is a randomized distributed protocol that guarantees with high probability the maintenance of a constant degree graph with high expansion even under continuous high adversarial churn. Our protocol can tolerate a churn rate of up to O(n/polylog(n)) per round (where n is the stable network size). Our protocol is efficient, lightweight, and scalable, and it incurs only O(polylog(n)) overhead for topology maintenance: only polylogarithmic(in n) bits needs to be processed and sent by each node per round and any node's computation cost per round is also polylogarithmic. The given protocol is a fundamental ingredient that is needed for the design of efficient fully-distributed algorithms for solving fundamental distributed computing problems such as agreement, leader election, search, and storage in highly dynamic P2P networks and enables fast and scalable algorithms for these problems that can tolerate a large amount of churn.
The Early Transmission Dynamics of H1N1pdm Influenza in the United Kingdom

We analyzed data on all laboratory-confirmed cases of H1N1pdm influenza in the UK to 10th June 2009 to estimate epidemiological characteristics. We estimated a mean incubation period of 2.05 days and serial interval of 2.5 days with infectivity peaking close to onset of symptoms. Transmission was initially sporadic but increased from mid-May in England and from early June in Scotland. We estimated 37% of transmission occurred in schools, 24% in households, 28% through travel abroad and the remainder in the wider community. Children under 16 were more susceptible to infection in the household (adjusted OR 5.80, 95% CI 2.99-11.82). Treatment with oseltamivir plus widespread use of prophylaxis significantly reduced transmission (estimated reduction 16%). Households not receiving oseltamivir within 3 days of symptom onset in the index case had significantly increased secondary attack rates (adjusted OR 3.42, 95% CI 1.51-8.55).
Rates of oxygen consumption and of anaerobic glycolysis in renal cortex and medulla of adult and new‐born rats and guinea‐pigs

1. Rates of oxygen uptake and of anaerobic glycolysis were estimated in slices from the renal cortex and medulla (a) of adult rats and guinea‐pigs, (b) of new‐born (1−, 5‐ and 21‐day‐old) rats and of guinea‐pigs of 1, 12, 21, 24 and 120 hr age.
Prostate Cancer Cells in Different Androgen Receptor Status Employ Different Leucine Transporters

Leucine stimulates cancer cell proliferation through the mTOR pathway, therefore, inhibiting leucine transporters may be a novel therapeutic target for cancer. L‐type amino acid transporter (LAT) 1, a Na+‐independent amino acid transporter, is highly expressed in many tumor cells. However, leucine transporter(s) in different stages of prostate cancer, particularly in the stages of castration resistance with androgen receptor (AR) expression, is unclear.
Tumor Priming Enhances Delivery and Efficacy of Nanomedicines

We have shown that high epithelial cell density is a major barrier to the distribution of protein-bound drugs in solid tumors, and tumor priming (expansion of interstitial space using an apoptosis-inducing pretreatment) can promote drug delivery. This study evaluated the optimal conditions of paclitaxel tumor priming (time window, particle size) and its effects on the delivery and efficacy of nanomedicines. Paclitaxel tumor priming was applied to mice bearing human xenograft tumors. The kinetics of paclitaxel-induced apoptosis was evaluated to identify the time window of tumor priming. The effects of tumor priming on the tumor delivery and interstitial dispersion of fluorescence-labeled nanoparticles of various sizes, the perfusion of tumor and normal tissues, the delivery of doxorubicin HCl liposomes to tumor and host tissues, and the antitumor activity and host toxicity were studied. Tumor priming by a single i.v. injection of paclitaxel induced apoptosis, expanded the interstitial space, vessel diameter and blood-perfused area, and promoted the delivery and interstitial dispersion of nanoparticles (100- and 200-nm diameter, administered 48 h after paclitaxel) in a tumor-selective manner. Tumor priming also enhanced the tumor delivery and antitumor activity of doxorubicin HCl liposomes (85 nm) without affecting the delivery to noncancerous host tissues or enhancing host toxicity. Tumor priming represents a potentially useful means to promote tumor-selective delivery and efficacy of nanomedicines. The current study will have significant impact on enhancing delivery and efficacy of nanomedicines and dosing regimen optimization of combination chemotherapy in the clinical setting.
Self-reports: How the questions shape the answers.

Self-reports of behaviors and attitudes are strongly influenced by features of the research instrument, including question wording, format, and context. Recent research has addressed the underlying cognitive and communicative processes, which are systematic and increasingly wellunderstood. I review what has been learned, focusing on issues of question comprehension, behavioral frequency reports, and the emergence of context effects in attitude measurement. The accumulating knowledge about the processes underlying self-reports promises to improve questionnaire design and data quality.
A Generic Framework for Handling Uncertain Data with Local Correlations

Data uncertainty is ubiquitous in many real-world applications such as sensor/RFID data analysis. In this paper, we investigate uncertain data that exhibit local correlations, that is, each uncertain object is only locally correlated with a small subset of data, while being independent of others. We propose a generic framework for dealing with this kind of uncertain and locally correlated data, in which we investigate a classical spatial query, nearest neighbor query, on uncertain data with local correlations (namely LC-PNN). Most importantly, to enable fast LC-PNN query processing, we propose a novel filtering technique via offline pre-computations to reduce the query search space. We demonstrate through extensive experiments the efficiency and effectiveness of our approaches.