Miracle-dz/UniFAR-FTUs huggingface dataset:
An improved clustering for action recognition in online video

A new method for human action recognition in online video sequences using Latent Dirichlet Markov Clustering (LDMC) is proposed. Video sequences are represented by a novel “bag-of-words” representation, and each frame corresponds to a “word”. LDMC builds on Hidden Markov Models (HMMs) and Latent Dirichlet Allocation, and it overcome their low recognition rate, robustness and high computational complexity. A collapsed Gibbs sampler is designed for offline learning with unlabeled training data, and a new approximation to online Bayesian inference is formulated to enable human action recognition in new online video sequence in real-time. The strength of this model is demonstrated by unsupervised learning of human action categories and detecting salient actions in one complex and crowded public scenes.
Development of 4-DOF manipulator using mechanical impedance adjuster

The objective of our study is to realize passive impedance of the robot joint by mechanical elements (MIA), and to develop an anthropomorphic multiple DOF manipulator using this mechanism. This mechanism has the advantage of a conventional method of force control in realizing high compliance. This paper presents the development of the 4-DOF MIA ARM which is an upper arm of the manipulator. This paper also describes the experimental evaluation of the 4-DOF MIA manipulator by means of step responses and circular trajectory. The experimental results show that the 4-DOF MIA ARM has high performance not only in force control but also in motion control.
Adaptive Load-Balancing Scheme through Wireless SDN-Based Association Control

As the popularity of mobile applications, Wi-Fi has become one of the major access methods for many users. When a large amount of users move in public places together, such as classrooms or meeting rooms, severe load imbalance of Wi-Fi Access Points (APs) and unfair bandwidth allocation are likely to occur consequently. Software Defined Networking (SDN) is a new networking paradigm which allows the network administrators to write programs for controlling the behaviors of network devices. In this paper, we propose an adaptive load balancing scheme through association control in wireless software defined network. The proposed scheme consists of an event detection mechanism and an adaptive load balancing algorithm on controller. In our algorithm, controller can derive an optimal association solution based on the traffic load and number of users on each AP. To observe the effects of population distribution and user mobility, we propose a simulation model to investigate the performance in terms of average AP load, user bandwidth and user throughput. Our simulation results show that our scheme has better performance than other three methods and performs better in imbalanced environment.
Low frequency of germline mutations in the RET proto‐oncogene in patients with apparently sporadic medullary thyroid carcinoma

BACKGROUND AND OBJECTIVES Medullary thyroid carcinoma (MTC) occurs both sporadically and In the autosomal domlnantly inherited multiple endocrine neoplasia (MEN) type 2 syndromes. The distinction between true sporadic MTC and a new mutation familial case is important for future clinical managment of both the patient and family. The susceptibility gene for MEN 2 is theRET proto‐oncogene. Systematic analysis for germ‐line mutations of theRET proto‐oncogene was performed in a series of 67 patients with apparently sporadic MTC to determine whether they were true sporadic cases or unsuspected de novo MEN 2 cases.
Uni-Detect: A Unified Approach to Automated Error Detection in Tables

Data errors are ubiquitous in tables. Extensive research in this area has resulted in a rich variety of techniques, each often targeting a specific type of errors, e.g., numeric outliers, constraint violations, etc. While these diverse techniques clearly improve data quality, it places a significant burden on humans to configure these techniques with suitable rules and parameters for each data set. For example, an expert is expected to define suitable functional-dependencies between column pairs, or tune appropriate thresholds for outlier-detection algorithms, all of which are specific to one individual data set. As a result, users today often hire experts to cleanse only their high-value data sets. We propose \sj, a unified framework to automatically detect diverse types of errors. Our approach employs a novel "what-if'' analysis that performs local data perturbations to reason about data abnormality, leveraging classical hypothesis-tests on a large corpus of tables. We test \sj on a wide variety of tables including Wikipedia tables, and make surprising discoveries of thousands of FD violations, numeric outliers, spelling mistakes, etc., with better accuracy than existing algorithms specifically designed for each type of errors. For example, for spelling mistakes, \sj outperforms the state-of-the-art spell-checker from a commercial search engine.
High Qm×K2t intrinsically switchable BST thin film bulk acoustic resonators

A high Q<inf>m</inf>×K<sup>2</sup><inf>t</inf> fundamental mode intrinsically switchable thin film bulk acoustic resonator (FBAR) based on Bao.sSro. sTiOa is designed and fabricated at 2 GHz. High Q<inf>m</inf>×K<sup>2</sup><inf>t</inf> BST FBARs are required for the design of low insertion loss switchable BAW filters. Measurement results for the BST FBAR show a resonator mechanical quality factor (Q<inf>m</inf>) of 360 with an electromechanical coupling coefficient (K<sup>2</sup><inf>t</inf>) of 8.6%. Q<inf>m</inf>×K<sup>2</sup><inf>t</inf> is 30.8, and to the best of authors' knowledge, it is the highest among the previously reported switchable BST resonators. The measured temperature coefficients of frequency (TCF) for the series and parallel resonance frequencies are −65 and −68 ppm/K, respectively.
Differential mRNA Expression of the Two Mineralocorticoid Receptor Splice Variants Within the Human Brain: Structure Analysis of their Different DNA Binding Domains

In human brain tissue, cortisol action, at basal concentrations, is mediated by the mineralocorticoid receptor (MR). An in‐frame insertion of 12 bp in the MR‐DNA‐binding domain due to alternative splice site usage between exons 3 and 4 results in an MR mRNA splice variant (MR+4) encoding a receptor protein with four additional amino acids compared to the wild‐type MR protein. To elucidate the questions of sex, age, and/or tissue dependent differences of the relative amount of the two mRNA subtypes, we examined 131 fresh human brain tissue samples from temporal and frontal lobe or hippocampus. One hundred and twenty samples were obtained from patients with epilepsy and 11 samples from patients with brain tumours. A small but signi®cant difference of the MR+4 mRNA splice variant proportions in cortex (9.5t0.8%) and subcortical white matter (6.6t0.7%) of the temporal lobe could be detected, indicating differential MR splice variant expression within these brain areas. Moreover, the splice variant ratios in samples of the temporal lobe cortex collected from patients with epilepsy differed from samples of patients with brain tumours. These data point to an altered expression of the MR splice variants in epilepsy, and strengthen the supposition of a tissue speci®c alternative splicing of the MR mRNA. The frequent occurence of the MR+4 transcript raises the question of its functional signi®cance. For this reason, an MR+4 DNA‐binding‐domain structure model was generated by computer‐based homology modelling based on the known glucocorticoid receptor structure. The data obtained revealed no distorting effect of the inserted four amino acids on the adjacent secondary structures, thereby suggesting that both zinc ®ngers retain their function. The resulting structure of the MR+4 model leads to the supposition that the receptor retains its function. Moreover, databank analysis with respect to this kind of steroid receptor variation and our own sequence data of the closely related progesterone receptor sustained the hypothesis that only corticosteroid receptors were affected by this alternative splicing event.
Tumor-secreted Hsp90 Subverts Polycomb Function to Drive Prostate Tumor Growth and Invasion*

Background: Extracellular Hsp90 (eHsp90) is implicated in cancer cell motility and invasion. Results: Tumor eHsp90 regulates ERK signaling, EZH2 expression, and histone methylation to facilitate prostate tumor growth and invasion. Conclusion: Newly characterized epigenetic functions of eHsp90 contribute to prostate tumorigenesis. Significance: Epigenetic modulation by eHsp90 may be a key facilitator in the transition of indolent to aggressive disease, highlighting a novel molecular effector of disease progression. Prostate cancer remains the second highest contributor to male cancer-related lethality. The transition of a subset of tumors from indolent to invasive disease is associated with a poor clinical outcome. Activation of the epithelial to mesenchymal transition (EMT) genetic program is a major risk factor for cancer progression. We recently reported that secreted extracellular Hsp90 (eHsp90) initiates EMT in prostate cancer cells, coincident with its enhanced expression in mesenchymal models. Our current work substantially extended these findings in defining a pathway linking eHsp90 signaling to EZH2 function, a methyltransferase of the Polycomb repressor complex. EZH2 is also implicated in EMT activation, and its up-regulation represents one of the most frequent epigenetic alterations during prostate cancer progression. We have now highlighted a novel epigenetic function for eHsp90 via its modulation of EZH2 expression and activity. Mechanistically, eHsp90 initiated sustained activation of MEK/ERK, a signal critical for facilitating EZH2 transcriptional up-regulation and recruitment to the E-cadherin promoter. We further demonstrated that an eHsp90-EZH2 pathway orchestrates an expanded repertoire of EMT-related events including Snail and Twist expression, tumor cell motility, and anoikis resistance. To evaluate the role of eHsp90 in vivo, eHsp90 secretion was stably enforced in a prostate cancer cell line resembling indolent disease. Remarkably, eHsp90 was sufficient to induce tumor growth, suppress E-cadherin, and initiate localized invasion, events that are exquisitely dependent upon EZH2 function. In summary, our findings illuminate a hitherto unknown epigenetic function for eHsp90 and support a model wherein tumor eHsp90 functions as a rheostat for EZH2 expression and activity to orchestrate mesenchymal properties and coincident aggressive behavior.
RSVP-TE: Extensions to RSVP for LSP Tunnels

This document describes the use of RSVP (Resource Reservation Protocol), including all the necessary extensions, to establish label-switched paths (LSPs) in MPLS (Multi-Protocol Label Switching). Since the flow along an LSP is completely identified by the label applied at the ingress node of the path, these paths may be treated as tunnels. A key application of LSP tunnels is traffic engineering with MPLS as specified in RFC 2702.
A NEW HIGH-INTENSITY ULTRASONIC TECHNOLOGY FOR FOOD DEHYDRATION

ABSTRACT At present, there is a growing interest in the field of dehydration for preserving food. Ultrasonic energy represents a means to obtain dehydration without affecting the food. This paper deals with an experimental study about the use of high-intensity ultrasound for vegetable dehydration by using a new power ultrasound generator and a procedure in which ultrasonic vibrations are applied in direct contact with the product and under a certain static pressure. The drying effect of this new process is compared with that obtained from forced-air drying assisted by air-bome ultrasonic radiation and from a conventional hol-air drying. The results show that by using the new technology and procedure it is possible to reduce dramatically the treatment time and it is relatively easy to reach a final moisture content in the samples less than 1%. In addition, the product qualities are well preserved, the sample rehydration is higher than 70% and, because of the high efficiency of the new ultrasonic system emp.
Association of HLA genes with clinical outcomes of ANCA-associated vasculitis.

BACKGROUND AND OBJECTIVES The HLA system plays a central role in the distinction between self antigens and non-self antigens. This study aimed to investigate the association between HLA genes and the outcomes of patients with ANCA-associated vasculitis (AAV). DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS This study recruited 152 consecutive Chinese patients with AAV. The predictive value of the HLA alleles for renal outcome, response to treatment, and all-cause mortality were analyzed. RESULTS The proportion of patients with treatment failure was significantly higher in DRB1*0405-positive patients than in DRB1*0405-negative patients (41.7% versus 12.9%; P=0.008; corrected P=0.02). After adjusting for the other potential predictors, DRB1*0405 was still an independent predictor for the poor response to treatment (hazard ratio [HR], 5.91; 95% confidence interval [95% CI], 1.23-28.52; P=0.03). Renal survival was significantly worse in patients with DRB1*0405 than those without DRB1*0405 (P<0.001; corrected P<0.001). After adjusting for the other potential predictors, DRB1*0405 was still an independent predictor for ESRD (HR, 5.50; 95% CI, 2.18-13.88; P<0.001). The probability of all-cause mortality in patients with DPB1*0402 was significantly higher than those without DPB1*0402 (P=0.02; corrected P=0.04). After adjusting for the other potential predictors, DPB1*0402 was still an independent predictor for all-cause mortality (HR, 2.52; 95% CI, 1.21-5.28; P=0.01). CONCLUSIONS In AAV patients, DRB1*0405 might be an independent risk factor for the poor response to treatment and the deterioration of renal function, whereas DPB1*0402 might be an independent risk factor for all-cause mortality.
PENGARUH SYARAT INTERAKSI SOSIAL GURU TERHADAP MOTIVASI BELAJAR SOSIOLOGI SISWA DI SMA NEGERI 1 MALLUSETASI KABUPATEN BARRU

Penelitian ini bertujuan untuk mengetahui pengaruh syarat interaksi sosial guru dengan siswa terhadap motivasi belajar sosiologi siswa di SMAN 1 Mallusetasi. Jenis penelitian ini adalah deskriptif kuantitatif dengan pendekatan korelasi product moment dan regresi linear berganda. Populasi dalam penelitian ini adalah seluruh siswa kelas X dan seluruh siswa jurusan IPS di SMAN 1 Mallusetasi dan sampelnya adalah 15 % dari populasi yaitu sebesar 51 siswa. Dari hasil uji hipotesis diperoleh: (a) kontak sosial terhadap motivasi belajar sosiologi siswa diperoleh korelasi sebesar 0.430 menunjukkan bahwa hubungan antara kontak sosial terhadap dengan motivasi belajar sosiologi siswa berada pada kategori sedang dan mempunyai arah hubungan yang positif. Untuk hasil analisis uji t diperoleh nilai thitung > ttabel (2.331> 2.008) sehingga ada pengaruh positif dan signifikan kontak sosial guru terhadap motivasi belajar sosiologi siswa di SMAN 1 Mallusetasi. (b) Komunikasi sosial terhadap motivasi belajar sosiologi siswa diperoleh korelasi sebesar 0.721 menunjukkan bahwa hubungan antara komunikasi sosial terhadap dengan motivasi belajar sosiologi siswa berada pada kategori kuat dan mempunyai arah hubungan yang positif. Hasil analisis uji t diperoleh nilai thitung > ttabel (4.056 > 2.008 ) sehingga ada pengaruh positif dan signifikan komunikasi sosial guru terhadap motivasi belajar sosiologi siswa di SMAN 1 Mallusetasi. (c) Pengaruh syarat interaksi sosial guru terhadap motivasi belajar sosiologi siswa dimana nilai R square 0.647 berada pada kategori kuat dan mempunyai hubungan yang positif. Uji F diperoleh nilai F hitung > F tabel (24.065 > 3.190) sehingga ada pengaruh yang positif dan signifikan syarat interaksi sosial guru terhadap motivasi belajar sosiologi siswa di SMAN 1 Mallusetasi. Kata Kunci : Syarat Interaksi Sosial, Motivasi Belajar Sosiologi
Learning to identify core term of knowledge unit from short text

We present a new task of identifying core term (CT) of knowledge unit (KU) from text for knowledge management and service. Two kinds of approaches, including binary classification using naïve bayesian, decision tree, logistic regression and SVM, as well as competition learning based on pairwise classification, are investigated for this specific task, combined with presented rich feature set from position, token features to statistic and linguistic features. Experimental results show that simple classification method can effectively address this task with desirable performance at 82.7% KU accuracy. However, since the recognition of core term relies on the KU as an integer and all its inner terms, competition learning based on pairwise classification achieves better result at 89.6%. We also empirically show that all of the presented types of features are useful for our task, and the combination of position and linguistic features is essential for information extraction on short text.
Structure-function relationship is stronger with enhanced corneal compensation than with variable corneal compensation in scanning laser polarimetry.

PURPOSE To compare the structure-function relationship between peripapillary retinal nerve fiber layer (RNFL) retardation, measured with scanning laser polarimetry (SLP) with both enhanced and variable corneal compensation (ECC [enhanced corneal compensation] and VCC [variable corneal compensation], respectively; features of the GDx Nerve Fiber Analyzer; Carl Zeiss Meditec, Inc., Dublin, CA), and visual field (VF) sensitivity, measured with standard automated perimetry (SAP) in normal and glaucomatous eyes and the effect of marked atypical birefringence patterns (ABPs) on this relationship. METHODS Thirty-three healthy subjects, and 68 patients with primary open-angle glaucoma (POAG) took part in the study. ECC and VCC images were taken in one randomly selected eye of each subject. VF tests were also obtained in the same eyes. The structure-function relationship was assessed in six peripapillary sectors and their matching VF areas and was reassessed after eliminating eyes with marked ABPs. RESULTS Correlations (Spearman's correlation coefficients, r(s)) in the structure-function relationship were generally stronger in images taken with ECC than in those taken with VCC. With ECC, the relationship was significantly more curvilinear when VF sensitivity was expressed in the standard decibel scale and more linear when VF sensitivity was expressed in an antilog scale than with VCC. When eyes with marked ABP images were removed from the analysis, the structure-function relationship with VCC improved, and no statistically significantly differences were found in the relationships between VCC and ECC. CONCLUSIONS The structure-function relationship between RNFL retardation and SAP VF sensitivity was stronger in images obtained with the GDx ECC than with the GDx VCC (Carl Zeiss Meditec, Inc., Dublin, CA). ABPs, which appeared more markedly with VCC than with ECC, weakened the structure-function relationship.
Evaluation of the coherence between the control of the variability of the photoplethysmographic pulse amplitude and the heart rate variability Coherence in PPGAV and HRV

Heart rate variability (HRV) is an analysis tool through which is possible to analyze the autonomic nervous system (ANS) in its two sympathetic and parasympathetic pathways. Photoplethysmography (PPG) has been used to determine beat-to-beat blood volume changes in both arterial and surrounding tissues. In this work we used a characteristic of the pulsatile signal, mainly associated with the changes in the arterial diameters, the amplitude of the photoplethysmographic beat to beat pulse (PPGAV) and its corresponding association with the modification of the ANS activity. In this study participated a group of thirty volunteers (15M, 15F, 22.9±1.95 years). In order to stimulate the ANS we used the five minutes clinostatism to orthostatism maneuver by which we obtained the tachograms and the amplitudes of the PPG pulses. Later the frequency domain analysis was carried out by Statistica Software, determining the high and low frequency components for both maneuvers. To establish the linear relationship in the frequency domain, the spectral coherence function was used. The analysis of HRV and PPGAV in this group of volunteers revealed that there is a decrease in the PPG amplitude at the clinostatism / orthostatism postural change, suggesting an increase of the sympathetic activity towards the blood vessels, which causes vasoconstriction, thus reflecting a decrease in the value of the spectral coherence in response to the stimulus caused by the maneuver.
Formulation of tretinoin-loaded topical proniosomes for treatment of acne: in-vitro characterization, skin irritation test and comparative clinical study

Abstract Tretinoin (TRT) is a widely used retinoid for the topical treatment of acne, photo-aged skin, psoriasis and skin cancer which makes it a good candidate for topical formulation. Yet side effects, like redness, swelling, peeling, blistering and, erythema, in addition to its high lipophilicity make this challenging. Therefore, the aim of this study was the development of TRT-loaded proniosomes to improve the drug efficacy and to increase user acceptability and compliance by reducing its side effects. Nine formulae were prepared according to 32 factorial design and were evaluated for their morphology, vesicle size, entrapment efficiency (EE %), and% of drug released after 5 h. Hydrogel of the candidate formula, N8G (proniosomes prepared with 0.025% TRT, and Span60: cholesterol molar ratio of 3:1 and incorporated in 1% carbopol gel) was developed and evaluated for skin irritation test and clinical study in acne patients compared to marketed product. Candidate formula showed higher efficacy and very low irritation potential when compared to marketed product in human volunteers.
Refractive Index Dispersion of Organic–Inorganic Hybrid Halide Perovskite CH3NH3PbX3 (X═Cl, Br, I) Single Crystals

Optical dispersion properties are indispensable in the thorough design of modern perovskite‐based photonics devices. Based on inverse temperature crystallization (ITC) method, here, CH3NH3PbX3 (CH3NH3═MA, X═Cl, Br, I) bulk single crystals are grown from precursor solution. X‐ray patterns indicate that the perovskite crystals have good crystallinity. MAPbCl3, MAPbBr3, and MAPbI3 crystals are transparent above 427, 574, and 823 nm, respectively. Refractive indices of MAPbX3 crystals are measured with different wavelength at 24 °C and reduced dramatically with the wavelength increase. Sellmeier dispersion equation fitted by least squares can be used to calculate the refractive index above the absorption edges. Refractive indices rank in the order of MAPbI3 > MAPbBr3 > MAPbCl3 at the same wavelength. The halogen elements have great influence on refractive indices. These results play a vital role in studying MAPbX3 nonlinear optical properties as well as in further designing photoelectric devices.