Miracle-dz/UniFAR-FTUs huggingface dataset:
Dissolve Detection Based Shot Identification Using Singular Value Decomposition

Today, with the availability of large amount of video files, searching for videos with desired content is becoming a tedious task. The viewers require better control over the video data and for this reason the video browsing and indexing applications are being developed. These applications are required to segment the video into shots in the initial step. Shot boundary detection for shots separated by abrupt changes has been successful to a large extent, but detecting shot boundaries with gradual transitions in between, has been very challenging. In this paper, we propose a dual stage divide-and-merge approach to detect shots joined by dissolve type transitions. In the first stage we declare the video frames to be of either dissolve type or non-dissolve type. Later, we iteratively combine the sequences of non-dissolve frames that constitute the different shots. For experimental purpose, we have used the videos downloaded from the free video sharing website YouTube. The experimental results prove that the proposed technique is indeed effective.
Resveratrol Does Not Influence Metabolic Risk Markers Related to Cardiovascular Health in Overweight and Slightly Obese Subjects: A Randomized, Placebo-Controlled Crossover Trial

Background In vitro and animal studies have shown positive effects of resveratrol on lipid and lipoprotein metabolism, but human studies specifically designed to examine these effects are lacking. Objective The primary outcome parameter of this study in overweight and slightly obese subjects was the effect of resveratrol on apoA-I concentrations. Secondary outcome parameters were effects on other markers of lipid and lipoprotein metabolism, glucose metabolism, and markers for inflammation and endothelial function. Design This randomized, placebo-controlled crossover study was conducted in 45 overweight and slightly obese men (n = 25) and women (n = 20) with a mean age of 61 ± 7 years. Subjects received in random order resveratrol (150 mg per day) or placebo capsules for 4 weeks, separated by a 4-week wash-out period. Fasting blood samples were collected at baseline and at the end of each intervention period. Results Compliance was excellent as indicated by capsule count and changes in resveratrol and dihydroresveratrol concentrations. No difference between resveratrol and placebo was found in any of the fasting serum or plasma metabolic risk markers (mean ± SD for differences between day 28 values of resveratrol vs. placebo: apoA-I; 0.00 ± 0.12 g/L (P = 0.791), apoB100; -0.01 ± 0.11 g/L (P = 0.545), HDL cholesterol; 0.00 ± 0.09 mmol/L (P = 0.721), LDL cholesterol -0.03 ± 0.57 mmol/L (P = 0.718), triacylglycerol; 0.10 ± 0.54 mmol/L (P = 0.687), glucose; -0.08 ± 0.28 mmol/L (P = 0.064), insulin; -0.3 ± 2.5 mU/L (P = 0.516)). Also, no effects on plasma markers for inflammation and endothelial function were observed. No adverse events related to resveratrol intake were observed. Conclusion 150 mg of daily resveratrol intake for 4 weeks does not change metabolic risk markers related to cardiovascular health in overweight and slightly obese men and women. Effects on glucose metabolism warrant further study. Trial Registration ClinicalTrials.gov NCT01364961
An Optimal Similarity Measure for Collaborative Filtering Using Firefly Algorithm

Recommender Systems (RS) provide personalized recommendation according to the user need by analyzing behavior of users and gathering their information . One of the algorithms used in recommender systems is user-based Collaborative Filtering (CF) method. The idea is that if users have similar preferences in the past, they will probably have similar preferences in the future . The important part of collaborative filtering algorithms is allocated to determine similarity between objects. Similarities between objects are classified to user-based similarity and item-based similarity. The most popular used similarity metrics in recommender systems are Pearson correlation coefficient, Spearman rank correlation, and Cosine similarity measure. Until now, little computation has been made for optimal similarity in collaborative filtering by researchers. For this reason, in this research, we propose an optimal similarity measure via a simple linear combination of values and ratio of ratings for user-based collaborative filtering by the use of Firefly algorithm; and we compare our experimental results with Pearson traditional similarity measure and optimal similarity measure based on genetic algorithm. Experimental results on real datasets show that proposed method not only improves recommendation accuracy significantly but also increases quality of prediction and recommendation performance.
Concatenative Synthesis of Expressive Saxophone Performance

In this paper we present a systematic approach to applying expressive performance models to non-expressive score transcriptions and synthesizing the results by means of concatenative synthesis. Expressive performance models are built from score transcriptions and recorded performances by means of decision tree rule induction, and those models are used both to transform inexpressive input scores and to guide the concatenative synthesizer unit selection.
High-throughput screen identifies disulfiram as a potential therapeutic for triple-negative breast cancer cells

Triple-negative breast cancer (TNBC) represents an aggressive subtype, for which radiation and chemotherapy are the only options. Here we describe the identification of disulfiram, an FDA-approved drug used to treat alcoholism, as well as the related compound thiram, as the most potent growth inhibitors following high-throughput screens of 3185 compounds against multiple TNBC cell lines. The average IC50 for disulfiram was ~300 nM. Drug affinity responsive target stability (DARTS) analysis identified IQ motif-containing factors IQGAP1 and MYH9 as direct binding targets of disulfiram. Indeed, knockdown of these factors reduced, though did not completely abolish, cell growth. Combination treatment with 4 different drugs commonly used to treat TNBC revealed that disulfiram synergizes most effectively with doxorubicin to inhibit cell growth of TNBC cells. Disulfiram and doxorubicin cooperated to induce cell death as well as cellular senescence, and targeted the ESA+/CD24-/low/CD44+ cancer stem cell population. Our results suggest that disulfiram may be repurposed to treat TNBC in combination with doxorubicin.
Graph-based model for lexical category acquisition

We present a novel approach for discovering word categories, sets of words sharing a significant aspect of distributional context. We determine symmetric similarity of word pair, lexical category is then created based on graph-partitioning method. We train our model on a corpus of child-directed speech from CHILDES and show that the model successful learns word categories. Furthermore, a number of different measures have been proposed for evaluating computational models of category acquisition. In this paper, we propose a new measure that meets three criteria: informativeness, diversity and purity.
Marker-less AR system based on line segment feature

We propose a method of marker-less AR which uses line segment feature. Estimating camera poses is important part of AR system. In most of conventional marker-less AR system, feature point matching between a model and its image is required for the camera pose estimation. However, a sufficient number of correspondence points is not always detected to estimate accurate camera poses. To solve this problem, we propose the use of line segments feature that can possibly be detected even when only a few feature points can be detected. In this paper, we propose a marker-less AR system that uses line segment features for camera pose estimation. In this system, we propose a novel descriptor of the line segment feature for achieving fast computation of the camera pose estimation. We also construct a database which contains a k-d tree of line feature and 3D line segment position for finding 2D-3D line segment correspondences from input image and the database, so that we can estimate the camera pose and perform AR. We demonstrated that our proposed method can estimate the camera pose and provide robust marker-less AR in the situation where point matching method fails.
Speech enhancement to overcome the effect of near-end noise in mobile phones using psychoacoustics

In mobile phones, perceived quality of speech signal deteriorates significantly in the presence of near-end/surrounding noise as it arrives at the near-end listener's ears. There is a need to improve the intelligibility and quality of the received speech signal in noisy environments by developing speech enhancement algorithms. Paper focuses on the impact of near-end noises on signal degradation. Gain adjustment process employing psychoacoustic has been adopted to improve the intelligibility and quality of the speech signal in the noisy environments by automatically enhancing the speech signals when the noise dominates. Intelligibility and quality of enhanced speech signal are measured using SII and PESQ. Experimental results show intelligibility and quality improvement of speech signal with the proposed method over the unprocessed far-end speech signal. Approach is more efficient in overcoming the degradation of speech signals in presence of near-end noise.
Concomitant Radiotherapy and Chemotherapy for High-Risk Nonmelanoma Skin Carcinomas of the Head and Neck

Background. To report on the use and feasibility of a multimodality approach using concomitant radiotherapy and chemotherapy in patients with high-risk nonmelanoma skin carcinoma (NMSC) of the head and neck. Methods. Records of patients with NMSC of the head and neck who received concomitant CRT at the University of North Carolina between 2001 and 2007 were reviewed. Results. Fifteen identified patients had at least one of the following high-risk factors: T4 disease (93%), unresectability (60%), regional nodal involvement (40%), and/or recurrence (47%). Ten patients were treated in the definitive setting and five in the postoperative setting. Platinum based chemotherapy was given in 14 (93%) patients. Ten of fifteen (67%) patients completed all planned chemotherapy treatments, and thirteen patients (87%) completed at least 80% of planned chemotherapy. Mild radiation dermatitis occurred in all patients and reached grade 3 in 13% of patients. No patients experienced grade 4 or 5 toxicity. With a median followup of 31 months in surviving patients, the 2-year actuarial locoregional control and relapse-free survival were 79% and 49%, respectively. Conclusions. Definitive or postoperative chemoradiotherapy for patients with locally advanced or regionally metastasized NMSC of the head and neck appears feasible with acceptable toxicities and favorable locoregional control.
Fun with ChromaKey and MATLAB Automatic person segmentation in webcam video for ChromaKey application

The primary goal of this project is to implement a MATLAB toolbox for video conferencing application of Chroma Key for single user webcam. This toolbox combines background subtraction methods [3][4] with motion segmentation via optical flow [7][5] to segment out the user in a foreground image and superimpose this foreground unto a user-desired background image. In this report, the overall algorithm for segmentation is described, with a description of the background subtraction techniques implemented, as well as the optical flow algorithms used. Finally, the algorithm is tested and results and improvements are described. Keywords-component; background subtration; motion detection;optical flow; chroma key; MATLAB;
Modeling of Oxygen-Inhibited Free Radical Photopolymerization in a PDMS Microfluidic Device

Free-radical photopolymerization performed within PDMS microfluidic devices is now used for a variety of applications. We propose, through model and experiment, that atmospheric oxygen diffusing in through the porous PDMS is responsible for the presence, under UV light, of a thin, un-cross-linked film of oligomer abutting the walls of an all-PDMS device. After the advent of light exposure, an induction time τi is required before the oxygen present in the oligomer is depleted, and cross-linking reactions can begin. A polymerized structure then grows from the center of the device outward, increasing sharply in height with time and leaving only a thin un-cross-linked film of thickness, δi,c, close to the walls where oxygen can penetrate. Under suitable simplification of the reaction−diffusion model developed, scaling relationships were obtained for τi (∼Da−1) and δi,c (∼Da−1/2) as a function of a Damkohler number, Da. The relationships were successfully verified by comparison with both the full solution and .
Progressive Meshes for Large Models of Arbitrary Topology

Recent advances in 3D scanning have made it feasible to generate highly detailed models containing hundreds of millions of triangles. One popular approach for rendering complex models is to use varying levels of detail (LOD). In particular, the progressive mesh (PM) has proven to be an effective data structure for representing meshes with LOD control. However, progressive meshes can be time consuming to generate, and the model being processed must fit entirely into main memory during simplification and rendering. When models contain hundreds of millions of faces, these issues can make it unreasonable to use PMs. We describe a system for generating and rendering progressive meshes for large models of arbitrary topology. By using hierarchical simplification and various optimizations (when creating a PM), and by using partial array loading (when rendering a PM), we are able to create and view progressive mesh representations of large models. In addition to describing the details of our system, we present the limitations of our current implementation, and we demonstrate some promising results.
The Relationship of Parental Mental Health and Dietary Pattern With Adolescent Mental Health

Background Today, ensuring people’s health and well-being has become a concern for societies. Health status results from an interaction of an individuals’ various psychological, social, and physical aspects. Objectives This study aims to investigate the relationship of parental mental health and dietary pattern with adolescent mental health. Patients and Methods In this study, 250 high school students in Shiraz were selected using random cluster sampling. The samples were analyzed using the Food Frequency Questionnaire (FFQ) and the General Health Questionnaire (GHQ-28). Results According to the findings, parental mental health explains 22% of the variance in children’s mental health, so that in simultaneous regression, physical dimensions, anxiety, social functioning, and depression predicted 13%, 24%, 11%, and 24% of the variance of criterion variables, respectively. No significant relationship was observed between dietary pattern and adolescent mental health dimensions. There was a significant negative relationship only between depression and vegetable intake. Moreover, fruit (r = 0.15, P < 0.05) and vegetable (r = 0.16, P < 0.05) intake had a significant relationship with parental mental health dimensions. Conclusions Parents’ mental health and their psychological characteristics can be related to children’s mental health and affect their dietary intake patterns.
A Survey on Virtual Network Embedding in Cloud Computing Centers

Bridging virtualized environments with physical environments, virtual network plays an important role in Cloud Computing infrastructures. How to allocate physical resources for virtual nodes/links to construct virtual network is known as Virtual Network Embedding (VNE) problem. It is a crucial issue that draws wide attention. This paper surveys existing VNE methods and algorithms and how they work under different application scenarios. First, a survey of differ- ent VNE objective metrics is presented; then several VNE algorithms are presented and categorized; finally, the perfor- mance of different VNE solutions are compared and discussed.
Exploration of Pedestrian Head Injuries—Collision Parameter Relationships through a Combination of Retrospective Analysis and Finite Element Method

There are a very limited number of reports concerning the relationship between pedestrian head injuries and collision parameters through a combination of statistical analysis methods and finite element method (FEM). This study aims to explore the characteristics of pedestrian head injuries in car–pedestrian collisions at different parameters by using the two means above. A retrospective analysis of pedestrian head injuries was performed based on detailed investigation data of 61 car–pedestrian collision cases. The head damage assessment parameters (head injury criterion (HIC), peak stress on the skull, maximal principal strain for the brain) in car–pedestrian simulation experiments with four contact angles and three impact velocities were obtained by FEM. The characteristics of the pedestrian head injuries were discussed by comparing and analyzing the statistical analysis results and finite element analysis results. The statistical analysis results demonstrated a significant difference in skull fractures, contusion and laceration of brain and head injuries on the abbreviated injury scale (AIS)3+ was found at different velocities (p < 0.05) and angles (p < 0.05). The simulation results showed that, in pedestrian head-to-hood impacts, the values of head damage assessment parameters increased with impact velocities. At the same velocity, these values from the impact on the pedestrian’s back were successively greater than on the front or the side. Furthermore, head injury reconstruction and prediction results of two selected cases were consistent with the real injuries. Overall, it was further spelled out that, for shorter stature pedestrians, increased head impact velocity results in greater head injury severity in car–pedestrian collision, especially in pedestrian head-to-hood impacts. Under a back impact, the head has also been found to be at greater damage risk for shorter stature pedestrians, which may have implications on automotive design and pedestrian protection research if prevention and treatment of these injuries is to be prioritized over head injuries under a front or side impact.
Born to be free? Assessing the viability of releasing captive-bred wobbegongs to restock depleted populations

Large predatory fishes, such as sharks, play an important functional role within marine ecosystems. Restocking of depleted populations has been extensively studied for commercially or recreationally important teleost fish species; however, it has, to the best of our knowledge, never been successfully attempted and assessed on sharks. We evaluated whether fifteen captive-bred wobbegongs (Orectolobus maculatus) released into a small bay inhabited by wild sharks would survive and remain within a small ‘no-take’ marine reserve. The captive-bred sharks and twelve wild sharks were tagged with acoustic transmitters and their presence was monitored by an array of acoustic receivers. The detection rate of control tags was modelled against environmental variables to predict detection probabilities and account for days when environmental conditions hampered shark detections. The overall detection probability ranged from 28% to 38% and was most affected by wind direction. Wild wobbegongs showed clear seasonal patterns of attendance to the study site, with the highest probability of presence during the summer months. The captive-bred sharks did not display the same seasonal trend in occurrence. The age at which captive-bred sharks were released into the area affected residency periods. Four out of five adults remained in the area for up to three years post release, while all the juveniles permanently left the area within a year post-release. Three of the juveniles were detected on receivers up to 12 km from the study site. Therefore, if restocking of depleted populations of sharks is to be used as a conservation strategy, the age at which sharks are released must be considered.
AN ALMA SURVEY OF SUBMILLIMETER GALAXIES IN THE EXTENDED CHANDRA DEEP FIELD SOUTH: NEAR-INFRARED MORPHOLOGIES AND STELLAR SIZES

We analyze Hubble Space Telescope WFC3/H160-band observations of a sample of 48 Atacama Large Millimeter/submillimeter Array detected submillimeter galaxies (SMGs) in the Extended Chandra Deep Field South field, to study their stellar morphologies and sizes. We detect 79% ± 17% of the SMGs in the H160-band imaging with a median sensitivity of 27.8 mag, and most (80%) of the nondetections are SMGs with 870 μm fluxes of S870 < 3 mJy. With a surface brightness limit of μH ∼ 26 mag arcsec−2, we find that 82% ± 9% of the H160-band-detected SMGs at z = 1–3 appear to have disturbed morphologies, meaning they are visually classified as either irregulars or interacting systems, or both. By determining a Sérsic fit to the H160 surface brightness profiles, we derive a median Sérsic index of n = 1.2 ± 0.3 and a median half-light radius of re = 4.4 kpc for our SMGs at z = 1–3. We also find significant displacements between the positions of the H160 component and 870 μm emission in these systems, suggesting that the dusty starburst regions and less-obscured stellar distribution are not colocated. We find significant differences in the sizes and the Sérsic index between our z = 2–3 SMGs and z ∼ 2 quiescent galaxies, suggesting that a major transformation of the stellar light profile is needed in the quenching processes if SMGs are progenitors of the red-and-dead z ∼ 2 galaxies. Given the short-lived nature of SMGs, we postulate that the majority of the z = 2–3 SMGs with S870 ≳ 2 mJy are early/mid-stage major mergers.
EFFECT OF E-RECRUITMENT ON THE EFFECTIVENESS OF EMPLOYEE RECRUITMENT

This study aims to examine the effect of E-Recruitment on employee recruitment effectiveness. This research is a quantitative research, with a questionnaire as a method of data collection. Questionnaires were distributed to 300 respondents. The sampling technique uses purposive sampling, with the criteria of respondents is generation Z, born in 1995-2010. Data analysis tools use simple linear regression. The results of this study found that E-recruitment affects the effectiveness of employee recruitment. This shows that when a company uses technology, one of them is E-recruitment, then job seekers will be interested in using the facility. Thus, companies can obtain candidates with a very large number of workers and have the opportunity to get the best competent employees. Keywords : E-Recruitment, Effectiveness Of Employee, Generation Z