Miracle-dz/UniFAR-FTUs huggingface dataset:
Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori

Human activity recognition (HAR) using smartphone sensors has attracted great attention due to its wide range of applications. A standard solution for HAR is to first generate some features defined based on domain knowledge (handcrafted features) and then to train an activity classification model based on these features. Very recently, deep learning with automatic feature learning from raw sensory data has also achieved great performance for HAR task. We believe that both the handcrafted features and the learned features may convey some unique information that can complement each other for HAR. In this article, we first propose a feature fusion framework to combine handcrafted features with automatically learned features by a deep algorithm for HAR. Then, taking the regular dynamics of human behavior into consideration, we develop a maximum full a posteriori algorithm to further enhance the performance of HAR. Our extensive experimental results show the proposed approach can achieve superior performance comparing with the state-of-the-art methodologies across both a public data set and a self-collected data set.
Action Recognition by Dissimilarity Measures for Hidden Markov Models

Hidden Markov models (HMMs) are known to be powerful tools to capture the dynamics of a human action, by providing a sufficient level of abstraction to recognise what two video sequences, depicting actions of the same kind, have in common. Yet, existing approaches tend to neglect the richness of this description as they simply evaluate the likelihood of a new sequence with respect to the learnt models. We present an action recognition algorithm based on a dissimilarity measure in the probabilistic space of HMMs. Unlike other measures, the metric we adopt makes it possible to compute relative distances by simply considering those from a common reference model. This considerably speeds up the evaluation process and allows for a description of the metric data by points in a Euclidean space (which has as many dimensions as the features), to be classified by a SVM. With state-of-the-art features the proposed algorithm shows full accuracy on the Weizmann dataset and performances comparable to those of the best published algorithms on the KTH dataset.
Predicting Choices and Timings of Phoneme Categorization with a Perceptual Decision Model of Phonemic Processing

Predicting Choices and Timings of Phoneme Categorization with a Perceptual Decision Model of Phonemic Processing JinYoung Kim Brain and Cognitive Sciences The Graduate School Seoul National University Despite crucial roles of pre-lexical units in speech perception, modeling efforts so far have been heavily focused on information processing at lexical or post-lexical stages, impeding the mechanistic investigation of speech perception. Given this dearth of frameworks for studying pre-lexical units, the current study proposes a system-level neural model for phoneme classification. A lynchpin idea behind the proposed model is that the brain represents phonemes as probabilistic quantities, likelihoods. With this idea, our model bridges three well-known canonical computations in the brain – sensory encoding, likelihood decoding and evidence accumulation along a cascade hierarchy of neural processing towards generating inputs to a next stage of speech perception. At the initial stage, sensory neurons with different tuning curves for physical properties relevant to phoneme discrimination compute individual likelihoods for the presence of those properties. Phoneme neurons at the following stage compute likelihoods for specific phonemes by summing the outputs of those sensory encoding neurons with weighting curves tuned for their preferred phonemes. At the final stage, evidenceaccumulation neurons compute and accumulate over time evidence to reach a discrete phoneme classification by integrating outputs of phoneme neurons in a task-optimal
CURRENT STATUS OF THE SANTA CRUZ ISLAND FOX (UROCYON LITTORALIS SANTACRUZAE)

Santa Cruz Island fox (Urocyon littoralis santacruzae) populations declined precipitously in the last decade. To assist fox recovery, removal of predatory golden eagles (Aquila chrysaetos) and feral pigs (Sus scrofa) is underway. We report on the current status of the fox based on trapping and radiotelemetry over six seasons (summer: May–October, winter: November–April) beginning winter 2000. We captured 173 foxes 590 times in 6,766 trap nights and radiocollared 58 foxes. Most estimates of abundance were approximately steady throughout the study period, including minimum number known alive (approx. 70– 80 foxes) and mark-recapture estimates of abundance (approx. 105–128 according to the best model), although trap success declined sharply (83% in the Central Valley). Trap success varied spatially, with relatively more foxes captured in the Central Valley than elsewhere. Annual non-pup survival tended to increase in summer and winter 2002 relative to the previous year based on telemetry data (80% vs. 59%, P = 0.17). Annual pup survival averaged 62% throughout the study, but substantial uncertainty accompanied this estimate. The ratio of pups to non-pups captured in summer averaged 0.45. Similarly, birth rate estimates based on lactation rates and numbers of pups weaned was 0.34 for yearlings and 0.45 for adults. Although we could not detect spatial differences in reproduction, foxes in the Central Valley were heavier than foxes elsewhere, and age distributions showed relatively more pups there, both suggestive of higher reproductive rates. Current vital rates yielded a simple deterministic growth rate estimate of λ = 1.00, consistent with a stabilizing population. Although many demographic parameters had considerable uncertainty due to small sample sizes inherent to rare populations, most results supported the conclusion that the population is small but approximately stable, survival is steady or increasing, and the Central Valley is providing the highest quality habitat.
Electro-magnetic tracker-based fusion for image-guided TRUS prostate biopsy

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A Taxonomy of Environmental Strategies

The antecedents of the broadly accepted ISO 14001 certification of the Environmental Management System are used as a base for the segmentation of the environmental strategies on certified companies. A survey conducted on a sample of sites certified, located in Brazil, was submitted to factor analysis, where four constructs were identified as antecedents: market requirements, environmental responsibilities, process improvement, reward expectancy. Those four constructs were submitted to cluster analysis, where three clusters where identified, and validated with discriminate analysis. The three strategies identified were: holistic, utilitarian, and altruistic. The characteristics of the companies on those thee strategies are described.
Automated Multi-Stage Compression of Neural Networks

Low-rank tensor approximations are very promising for compression of deep neural networks. We propose a new simple and efficient iterative approach, which alternates low-rank factorization with smart rank selection and fine-tuning. We demonstrate the efficiency of our method comparing to non-iterative ones. Our approach improves the compression rate while maintaining the accuracy for a variety of tasks.
BIOCHEMICAL AND MOLECULAR IDENTIFICATION OF SIX MAIZE INBRED LINES

The present investigation was done to define the identity of six maize inbred lines using SDS-PAGE protein analysis and some isozymes variability, DNA fingerprinting detected by inter simple sequence repeat (ISSR)-PCR molecular markers. Protein electrophoresis revealed that total number of bands ranged from 12 in the inbred line Sids 1108 to 4 in inbred line Sids 1157 and inbred line Sids 63. Three common bands were found in all tested inbred lines. Two inbred lines; Sids 7 and Sids 1108 showed specific bands which could be used to distinguish them from the others. In addition, bands of two isozymes systems, peroxidase (Prx) and esterase (EST) were determined for the six maize inbred lines based on polyacrylamide gel electrophoresis. The number of bands and Rf values could be used to identify these inbred lines. Eleveen anchored ISSR primers were used for fingerprinting of the six maize inbred lines and obtained 73 scorable bands, 42 of them were polymorphic (58 %). Sids 7 produced two bands with two primers (ISSR 1and ISSR 10). Sids 34 produced three bands with three primers (ISSR 1, ISSR 9 and ISSR 11). Sids 1159 produced three bands with three primers (ISSR 2, ISSR3 and ISSR 8). Sids 1108 produced two bands with two primers (ISSR 6 and ISSR 7). Sids 1157 have one band marker with primer ISSR 11. Also, Sids 63 has one band marker with primer ISSR 3. Existing genetic differences between inbred lines are important from the point of view of the breeder to take advantage in maize improvement programs.
Increased α2‐ but similar β‐adrenergic receptor activities in subcutaneous gluteal adipocytes from females compared with males

Abstract. α 2 and β‐adrenergic binding and action were studied in subcutaneous adipocytes from the gluteal region in females and males. The β‐selective antagonist [3H]dihydroalprenolol and the α2‐selective antagonist [3H]yohimbine were used to identify the β‐ and the α2‐receptor, respectively. The biological effects mediated by these receptors were determined by measuring the glycerol release induced by isoproterenol (β‐receptor agonist) and by clonidine (α2‐receptor agonist). The study consisted of health volunteers (eighteen females and fifteen males). Compared to men the α2‐receptor binding was increased by 73% (P < 0·01) in adipocytes from females. From Scatchard analysis it was determined that the increased binding was due to an increased receptor number (438 v. 262 fmol mg‐1 protein, P < 0·001) with unaltered Kd (1·18 v. 1·35 nmol l‐1, P > 0·05). This increased α2‐receptor binding in female and adipocytes was associated with a significantly increased sensitivity (P < 0·05) and maximal antilipolytic effect of clonidine (P < 0·05). The β‐receptor binding was similar in adipocytes from females and males. However, isoproterenol was significantly more lipolytic in female adipocytes (P < 0·01). Since the combination of theophylline and adenosine deaminase also was significantly more lipolytic in female adipocytes the enhanced effect of isoproterenol then seemed to be due to mechanisms not directly related to the hormone‐β‐receptor binding. Finally, the mixed β‐ and α2‐receptor agonist, adrenaline showed biphasic effects on lipolysis, with stimulatory effect at low concentrations (< 500 nmol l‐1) and pronounced inhibitory effect at higher concentrations (> 1 μmol l‐1). However, at low concentrations of adrenaline the lipolytic effect was significantly reduced in female gluteal adipocytes (P < 0·05), whereas the inhibitory effect was similar between females and males. It is concluded that female gluteal adipocytes possessed more α2‐adrenergic receptors than male adipocytes. This increased binding was accompanied by enhanced antilipolytic effect of clonidine and reduced lipolytic effect of low concentrations of adrenaline. Thus, it is suggested that the increased α2‐receptors in female gluteal adipocytes might be related to the enhanced tendency for females to accumlate fat in this region.
Analysis on Noise Requirements of RF Front-End Circuits for Spin Qubit Readout

Currently, radio frequency (RF) measurement setups for semiconductor qubits are implemented with high performance discrete devices operating at cryogenic temperatures, and the output signals are detected by room temperature instruments. This is impractical for a real quantum processor, and integrated circuits (ICs) should be designed for spin qubit readout in a practical quantum computer, to ensure system reliability and compactness. To guide the system-level IC design, we analyze in this work noise specifications of RF front-end circuits for qubit readout, mainly focusing on noise figure (NF) of the lownoise-amplifier (LNA) and phase noise (PN) of the voltage-controlled-oscillator (VCO). RF reflectometry and RF dispersive gate sensing (DGS) are two main spin qubit readout techniques, both of which should detect weak reflected signals as low as -135 dBm and distinguish <1% amplitude or phase variation, which results in high sensitivity and low noise requirements for the readout circuits, to achieve the high measurement fidelity. For the analysis, we model the RF reflectometry and RF-DGS as demodulators respectively of the on-off keying (OOK) signal and phase modulated (PM) signal from qubits. From this, we provide a first estimation of the required NF and PN for a given fidelity and readout bandwidth, as well as an insight into the relationship between phase resolution of RF-DGS and performance degradation due to PN of the VCO. We then review some state-of-the-art CMOS LNA and VCO topologies, which can be utilized in the spin qubit readout ICs to satisfy the specifications.
BLOOD PARAMETERS OF NELLORE STEERS FED A HIGH CONCENTRATE DIET IN TWO RESTRICTED FEEDING REGIMES FOLLOWED BY AD

Blood parameters of 18 Nellore steers submitted to high concentrate diet in two sequential feeding regimes (phase 1: restriction and phase 2: ad libitum feeding) were evaluated. In the first phase, steers were fed for 56 days three intake levels of dry matter (ad libitum, 75 g dry matter (DM)/kg metabolic body weight (BW0.75) or 60 g DM/kg BW0.75. In the second phase, from the 57th day on feed, animals fed 60 g DM/kg BW0.75 and 75 g DM/kg BW0.75 were fed ad libitum until the 136th day. In the 8th, 27th, 55th (first phase), 71st, 84th, 112th and 132nd (second phase) day of experimental period, blood samples were collected and insulin-like growth factor I (IGF-I), triiodothyronine (T3), thyroxine (T4), glucose, plasma ureic nitrogen (PUN) and total protein (TP) were determined. In the first phase IGF-I, T4, glucose and total protein concentration was not different among treatments (P>0.05) and there was no interaction between treatment and time (P>0.05). There was an interaction among treatments and time on T3 and plasma ureic nitrogen (P<0.01). In the second phase IGF-I, T3, T4, glucose and total protein concentration was not different among treatments and there was no interaction between treatment and time (P>0.05). For plasma ureic nitrogen concentration there was an interaction among treatments and time (P=0.02). Lower levels of diet intake can be used to improve animal performance in feedlot.
University of Groningen Weather perceptions, holidays satisfaction and perceived attractiveness of domestic vacationing in The Netherlands Jeuring,

Despite variable and relatively cool summer weather, domestic vacations in countries around the North Sea are an important type of tourism. However, relations between weather and domestic tourism in this region remain understudied. A quantitative research (n 1⁄4 326) among domestic camping tourists in The Netherlands explores perceived personal significance of the weather, operationalized as Weather Salience (WxS), and its relation with attractiveness of domestic vacationing, adaptive touristic behavior and perceived differences between home and destination. Results show that WxS relates positively to attitudes toward domestic tourism and to holiday satisfaction. While higher levels of WxS enhance feelings of being away from home due to the weather, lower WxS increases indifference about holiday weather. Weather differences between home and destination are perceived but depend on region, accommodation type and WxS levels. Implications for (domestic) tourism climatology research are discussed and potential lessons for stakeholders employing tourism activities in temperate climates are
DESIGN AND IMPLEMENTATION OF A NEW ROUTING SIMULATOR

In this paper, we present the design and implementation of a new QoS Routing Simulator (QRS) . Based on the core of a public routing simulator – MaRS ** , we have developed QRS by designing and implementing new QoS-related components, i. e. , resource reservation (RSVP), resource management (RM), QoS routing algorithms, traffic scheduling and real-time traffic workload. QRS allows users to configure the parameters of a QoS guaranteed network, where the dynamics of QoS routing algorithms as well as traffic management algorithms can be investigated. We also present some simulation results obtained by using QRS.
Pediatric Dental Education Improves Interprofessional Healthcare Students’ Clinical Competence in Children’s Oral Health Assessment

Primary care and healthcare providers can facilitate children’s timely referral to a dental home. However, there are few studies of providers’ oral health knowledge and clinical skills. This study aims to improve future healthcare providers’ knowledge, confidence, attitude, and clinical competence in assessing children’s oral health. Sixty-five health professional students participated in a 10-week didactic and clinical curriculum on children’s oral health. Fifty students completed pre- and post-training questionnaires and were assessed in their knowledge, confidence, and attitude. Calibrated examiners graded students’ clinical skills on a 24-point grading criterion. Descriptive statistics, paired sample t-test, and Pearson correlation were used in data analyses. Students were in dentistry (46%), nursing (28%), medicine (22%), and pharmacy (3%). Students significantly improved in knowledge (t = −7.71, p < 0.001), confidence (t = −10.30, p = <0.001), and attitude (t = −4.24, p = <0.001). Students on average scored 83% on clinical competence, with the highest average for fluoride varnish application (96%) and lowest for providing anticipatory guidance (69%). There was a moderate correlation between improvement in knowledge and their clinical skills (r = 0.39, p = 0.010). Interprofessional education improves students’ knowledge, confidence, attitude, and clinical competence in assessing children’s oral health. Such education is necessary in guiding future providers to gain adequate competence in serving children’s oral health needs.
It investment decision-making: practical usability of a normative model

This study researches the practical usability of a multi-criteria decision analysis (MCDA) method for making IT-investment decisions. The practical usability of the ROAHP model is studied by presenting ROAHP to CIO’s and using a survey to collect their opinion on prerequisites for practical usability, strengths and weaknesses, and current routines of their organization that could benefit from ROAHP. To understand these opinions they are put in organizational context by profiling their organization’s strategic decision making process based on dominant paradigms in strategic decision making research. The study concludes that CIO’s recognize the potential of ROAHP but that it lacks usability. Furthermore, this study recommends future research to focus on the practical usability rather than validity of the method.
OTT_A_223221 8287..8299

*These authors contributed equally to this work Background: Inositol polyphosphate 4-phosphatase type II (INPP4B), a member of the PI3K/Akt signaling pathway, plays a vital role in the initiation and progression of cancers. However, its biological role in pancreatic cancer remains largely undiscovered. Our study aimed to investigate the effects of INPP4B on proliferation in pancreatic cancer and its clinical relevance. Materials and methods: INPP4B expression data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Clinicopathological and survival data were retrieved from the TCGA database. CCK8 and colony formation assays were performed to measure the proliferative capacity of pancreatic cancer. Tumor xenograft models were established to measure cancer proliferative abilities in vivo. Results: INPP4B was upregulated in pancreatic cancer tissue compared with normal tissue. INPP4B knockdown inhibited cell proliferation and promoted apoptosis in pancreatic cancer in vitro and in vivo. INPP4B knockdown also reduced AKT phosphorylation. Moreover, INPP4B was associated with poor overall and disease-free survival, with Cox regression analysis showing that INPP4B could serve as an independent prognostic marker. ROC curve analysis showed that INPP4B possessed moderate diagnostic value. Conclusion: Collectively, INPP4B is an oncogenic gene in pancreatic cancer and could serve as a potential diagnostic marker and an independent prognostic marker, suggesting that it could be a novel therapeutic target for pancreatic cancer.
Cancer and cardiovascular effects from exposure to combustion products

Complete oxidation of a hydrocarbon fuel would result in only water and carbon dioxide as combustion products. Combustion of even the simplest fuel, methane (over 90 % of natural gas), however, is a complicated chemical process, let alone combustion of the infinitely more complex solid fuels, coal and wood. Complete oxidation is never achieved even in the most advanced industrial scale boiler plants, which are built upon generations of engineering sciences, are equipped with advanced flue gas cleaning technologies, and employ professional operating teams using a network of sensors and automated feedback control systems.
Audio Hiding in Color Image Using SLT Schemes

As usage of internet grows in different applications around the world, many techniques were developed to guard an important data against from illegal access and modification from unauthorized users by embedding this data into visual media called host media. Audio hiding in an image is a challenge because of the large size of the audio signal. Some previous methods have been presented to reduce the data of the audio signal before embedding it in the cover image, however, these methods was at the cost of reducing the quality of the audio signal. In this paper, a Slantlet transform (SLT) based method is applied to obtain better performance in terms of audio quality. In addition, the data hiding scheme in the cover color image has been implemented using SLT matrix method. The simulation results prove that the proposed algorithm produce better performance in terms of audio quality and execution time in comparison with the existing DWT based schemes. Also, the proposed data hiding scheme takes good visual quality results and high data hiding capacity.