Miracle-dz/UniFAR-FTUs huggingface dataset:
A Receiver-Initiated Big Slot Scheduling MAC Protocol for Reducing Collision in Wireless Sensor Networks

Two basic requirements in designing a MAC protocol for industrial wireless sensor networks (IWSNs) include the timeliness and the reliability of data transmission. For the former, the protocols in general rely on the use of TDMA. For the latter, they have to take into account various interfering factors existent in environment. One approach uses CSMA/CA in data transmission in which a sender acquires a channel using some control messages before sending data and then the receiver replies with an acknowledgement message for the successful reception, while guaranteeing the timeless of data transmission using TDMA. Since the size of control message is relatively big when considering the small size of data in WSNs, it is desirable to reduce the number of control messages. Thus, a receiver-initiated data transmission method is proposed to reduce the number of control messages as well as the number of competing nodes. Since the receiver-initiated approach works well when data transmission can be predicted, it is applied to the BigMAC protocol that uses a level-order transmission in a tree topology. Simulation results indicate that the proposed technique contributes to improving reliability clearly and reducing one round of data gathering time, leading to the reduced energy consumption.
The Putative Nucleic Acid Helicase Sen1p Is Required for Formation and Stability of Termini and for Maximal Rates of Synthesis and Levels of Accumulation of Small Nucleolar RNAs inSaccharomyces cerevisiae

ABSTRACT Sen1p from Saccharomyces cerevisiae is a nucleic acid helicase related to DEAD box RNA helicases and type I DNA helicases. The temperature-sensitive sen1-1 mutation located in the helicase motif alters the accumulation of pre-tRNAs, pre-rRNAs, and some small nuclear RNAs. In this report, we show that cells carryingsen1-1 exhibit altered accumulation of several small nucleolar RNAs (snoRNAs) immediately upon temperature shift. Using Northern blotting, RNase H cleavage, primer extension, and base compositional analysis, we detected three forms of the snoRNA snR13 in wild-type cells: an abundant TMG-capped 124-nucleotide (nt) mature form (snR13F) and two less abundant RNAs, including a heterogeneous population of ∼1,400-nt 3′-extended forms (snR13R) and a 108-nt 5′-truncated form (snR13T) that is missing 16 nt at the 5′ end. A subpopulation of snR13R contains the same 5′ truncation. Newly synthesized snR13R RNA accumulates with time at the expense of snR13F following temperature shift of sen1-1 cells, suggesting a possible precursor-product relationship. snR13R and snR13T both increase in abundance at the restrictive temperature, indicating that Sen1p stabilizes the 5′ end and promotes maturation of the 3′ end. snR13F contains canonical C and D boxes common to many snoRNAs. The 5′ end of snR13T and the 3′ end of snR13F reside within C2U4 sequences that immediately flank the C and D boxes. A mutation in the 5′ C2U4 repeat causes underaccumulation of snR13F, whereas mutations in the 3′ C2U4 repeat cause the accumulation of two novel RNAs that migrate in the 500-nt range. At the restrictive temperature, double mutants carrying sen1-1 and mutations in the 3′ C2U4 repeat show reduced accumulation of the novel RNAs and increased accumulation of snR13R RNA, indicating that Sen1p and the 3′ C2U4 sequence act in a common pathway to facilitate 3′ end formation. Based on these findings, we propose that Sen1p and the C2U4 repeats that flank the C and D boxes promote maturation of the 3′ terminus and stability of the 5′ terminus and are required for maximal rates of synthesis and levels of accumulation of mature snR13F.
NOWCASTING OF RAINFALL BASED ON EXTRAPOLATION AND EVOLUTION ALGORITHMS. PRELIMINARY RESULTS

Forecasts from nowcasting models are increasingly becoming a crucial input to the rainfall-runoff models. A basic approach to the nowcast generation is based on extrapolation (advection) of current precipitation field. The main limitation of such nowcasting is the rapid decrease in accuracy with forecasting lead time, due to dynamical evolution of precipitation, especially when convection appears, therefore recent studies are focused on taking into account also the evolution of precipitation. According to subject literature, the conceptual cell lifecycle models are not sufficient to significantly increase forecast accuracy, thus at present new approaches based on autoregressive models are investigated. This paper presents the SNAR (Spectral Nowcasting with Autoregression) nowcasting model developed at IMGW-PIB. The aim of the present research is to improve the nowcasting reliability, and to extend the lead time. The model proposes two innovative solutions: (i) decomposition of precipitation field to layers associated with their spatial scale, (ii) forecasting based on autoregressive model. The paper gives an overview of algorithms used in the SNAR model and provides preliminary results.
Spatial Patterns and Temperature Predictions of Tuna Fatty Acids: Tracing Essential Nutrients and Changes in Primary Producers

Fatty acids are among the least understood nutrients in marine environments, despite their profile as key energy components of food webs and that they are essential to all life forms. Presented here is a novel approach to predict the spatial-temporal distributions of fatty acids in marine resources using generalized additive mixed models. Fatty acid tracers (FAT) of key primary producers, nutritional condition indices and concentrations of two essential long-chain (≥C20) omega-3 fatty acids (EFA) measured in muscle of albacore tuna, Thunnus alalunga, sampled in the south-west Pacific Ocean were response variables. Predictive variables were: location, time, sea surface temperature (SST) and chlorophyll-a (Chla), and phytoplankton biomass at time of catch and curved fork length. The best model fit for all fatty acid parameters included fish length and SST. The first oceanographic contour maps of EFA and FAT (FATscapes) were produced and demonstrated clear geographical gradients in the study region. Predicted changes in all fatty acid parameters reflected shifts in the size-structure of dominant primary producers. Model projections show that the supply and availability of EFA are likely to be negatively affected by increases in SST especially in temperate waters where a 12% reduction in both total fatty acid content and EFA proportions are predicted. Such changes will have large implications for the availability of energy and associated health benefits to high-order consumers. Results convey new concerns on impacts of projected climate change on fish-derived EFA in marine systems.
Control Scheme of Multi Level Cascaded H-Bridge STATCOM

This paper presents a control scheme of cascaded H-bridge STATCOM in three-phase power systems. Cascaded H-bridge STATCOM has merits in point of switching losses, output harmonics, and the number of circuit components. But every H-bridge cell has isolated dc capacitors. So the balancing problem of capacitor voltages exists. Since STATCOM is often requested to operate under asymmetrical condition by power system faults, capacitor voltage balancing between phase clusters is particularly important. Solving this problem, a technique using zerosequence voltage and negative-sequence current is proposed.By this scheme, the STATCOM is allowed to operate under asymmetrical conditions by power system faults. The validity is examined by digital simulation under one line and two-lines fault circuit condition. IndexTerms: Capacitor voltage balancing, cascaded Hbridge, multilevel converter, negative-sequence current, STATCOM, zerosequence voltage.
The Influence of the Framework and Extraframework Content on the High Pressure Behavior of the GIS Type Zeolites: The Case of Amicite

This paper reports a study, performed by in-situ synchrotron X-ray Powder Diffraction, of the high pressure behavior of the natural zeolite amicite [K4Na4(Al8Si8O32)·10H2O], the GIS-type phase with ordered (Si, Al) and (Na, K) distribution. The experiments were carried out up to 8.13(5) GPa in methanol:ethanol:water = 16:3:1 (m.e.w.) and 8.68(5) GPa in silicone oil (s.o.). The crystal structure refinements of the patterns collected in m.e. w. were performed up to 4.71(5) GPa, while for the patterns collected in s.o. only the unit cell parameters were determined as a function of pressure. The observed framework deformation mechanism—similar to that reported for the other studied phases with GIS topology—is essentially driven by the distortion of the “double crankshaft” chains and the consequent changed shape of the 8-ring channels. The pressure-induced over-hydration observed in the experiment performed in aqueous medium occurs without unit cell volume expansion, and is substantially reversible. A comparison is made with the high pressure behavior of the other GIS-type phases, and the strong influence on compressibility of the chemical composition of both framework and extraframework species is discussed.
Silver-Containing Hydroxyapatite Coating Reduces Biofilm Formation by Methicillin-Resistant Staphylococcus aureus In Vitro and In Vivo

Biofilm-producing bacteria are the principal causes of infections associated with orthopaedic implants. We previously reported that silver-containing hydroxyapatite (Ag-HA) coatings exhibit high antibacterial activity against methicillin-resistant Staphylococcus aureus (MRSA). In the present study, we evaluated the effects of Ag-HA coating of implant surfaces on biofilm formation. Titanium disks (14-mm diameter, 1-mm thickness), one surface of which was coated with HA or 0.5%–3.0% Ag-HA with a thermal spraying technique, were used. In vitro, the disks were inoculated with an MRSA suspension containing 4 × 105 CFU and incubated for 1-2 weeks. In vivo, MRSA-inoculated HA and 3% Ag-HA disks (8.8–10.0 × 108 CFU) were implanted subcutaneously on the back of rats for 1–7 days. All disks were subsequently stained with a biofilm dye and observed under a fluorescence microscope, and biofilm coverage rates (BCRs) were calculated. The BCRs on the Ag-HA coating were significantly lower than those on the HA coating at all time points in vitro (p < 0.05). Similar results were observed in vivo (p < 0.001) without argyria. Ag-HA coating reduced biofilm formation by MRSA in vitro and in vivo; therefore, Ag-HA coating might be effective for reducing implant-associated infections.
Numerical Analysis and Comparison of the Algorithms of Image Foreground Extraction

Foreground extraction is widely used in pattern recognition, movie and arts, etc. And the most important part of Foreground extraction is detecting the image edge. By detecting the image edge, we can build the models to extract foreground from the image through region, pixel or color. This paper begin with the analysis and evaluation of several typical algorithms of edge detection operator, and then the mixture Gaussian model which based on the foreground and background colors basic model is given to balance the insufficient of two models. Next we get matrix E(x) from the mixture Gaussian model, and then realize foreground extraction by maximum flow minimum cut algorithm cutting. Finally as the parameter's change, the extracted effect is analyzed.
Combination Varenicline/Bupropion Treatment in an Adaptive Smoking Cessation Paradigm

Objective— To assess the efficacy and safety of combination varenicline/bupropion sustained-release (SR) treatment for smokers who are unlikely to achieve abstinence using nicotine patch treatment based on an assessment of initial smoking reduction prior to the quit date. Method— A randomized double-blind, parallel group, adaptive treatment trial identified 222 cigarette smokers showing ≤50% reduction in smoking after 1 week of nicotine patch treatment. Smokers were randomized to receive 12 weeks of varenicline/bupropion treatment vs. varenicline plus placebo. The primary outcome was continuous smoking abstinence at weeks 8–11 after the target quit date. Results— Combination varenicline/bupropion treatment increased the abstinence rate relative to varenicline: 39.8% vs. 25.9% (odds ratio, 1.89; 95% CI, 1.07–3.35; P=0.029). Male smokers showed a greater effect of combination treatment than female smokers: 50.9% vs. 19.6% for males (odds ratio, 4.26; 95% CI, 1.73–10.49; P=0.002), and 29.3% vs . 30.6% for females (odds ratio, 0.94; 95% CI, 0.43–2.05; P=0.87). Highly dependent smokers also showed a greater effect than smokers with lower levels of dependence: 44.4% vs. 18.6% for highly dependent smokers (odds ratio, 3.51, 95%CI, 1.64–7.51, P=0.001), and 31.7% vs. 39.5% for smokers with a lower level of dependence (odds ratio, 0.71, 95% CI, 0.28–1.80, P=0.47). Both treatments were well tolerated. than varenicline alone for male smokers or for smokers with a high degree of dependence who did not show a sufficient initial response to pre-quit nicotine patch treatment. Trial Registration— ClinicalTrials.gov identifier: NCT01303861
Modal Descriptions for Recognition and Tracking

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Communication problems in global software development: spotlight on a new field of investigation

While it is widely recognized that communication plays a critical role in software development, it has been observed that problems of coordination may be generated when teammates in the field are working at a distance from one another. This paper presents an ongoing empirical study on ad hoc collaborative activities which occur in an industrial software engineering environment. We believe that a better understanding of these types of activities and their content will pave the way to further solutions designed to enhance communication, and thus improve both collaboration and coordination in virtual software development settings. We include details of our motivations for the study, followed by some methodological considerations, and, finally, some preliminary results which demonstrate not only the significance of our data, but also the relevance of our approach.
Application of two-stage fuzzy pattern recognition model in the optimization of headphones

Headphone selections have been traditionally depend on popularity and one's favorite. In contract, this paper presents a method that according to the parameters to select optimal headphone. The proposed method based on the theory of engineering variable fuzzy sets, selecting four main parameters of the headphone, established the characteristic index matrix, apply two-stage fuzzy pattern recognition model to the choice of optimal headphone. Propose a new method for headphone preferred, build up a fuzzy math model of headphone optimization.
HECT-E3 ligase ETC-1 regulates securin and cyclin B1 cytoplasmic abundance to promote timely anaphase during meiosis in C. elegans

The anaphase inhibitor securin plays a crucial role in regulating the timing of sister chromatid separation during mitosis. When sister chromatid pairs become bioriented, the E3 ligase anaphase promoting complex/cyclosome (APC/C) ubiquitylates securin for proteolysis, triggering sister chromatid separation. Securin is also implicated in regulating meiotic progression. Securin protein levels change sharply during cell cycle progression, enabling its timely action. To understand the mechanism underlying the tightly regulated dynamics of securin, we analyzed the subcellular localization of the securin IFY-1 during C. elegans development. IFY-1 was highly expressed in the cytoplasm of germ cells. The cytoplasmic level of IFY-1 declined immediately following meiosis I division and remained low during meiosis II and following mitoses. We identified a C. elegans homolog of another type of E3 ligase, UBE3C, designated ETC-1, as a regulator of the cytoplasmic IFY-1 level. RNAi-mediated depletion of ETC-1 stabilized IFY-1 and CYB-1 (cyclin B1) in post-meiosis I embryos. ETC-1 knockdown in a reduced APC function background caused an embryonic lethal phenotype. In vitro, ETC-1 ubiquitylates IFY-1 and CYB-1 in the presence of the E2 enzyme UBC-18, which functions in pharyngeal development. Genetic analysis revealed that UBC-18 plays a distinct role together with ETC-1 in regulating the cytoplasmic level of IFY-1 during meiosis. Our study reports a novel mechanism, mediated by ETC-1, that co-operates with APC/C to maintain the meiotic arrest required for proper cell cycle timing during reproduction.
Prototype-based class-specific nonlinear subspace learning for large-scale face verification

In this paper, we describe a face verification method which is based on non-linear class-specific discriminant subspace learning. We follow the Kernel Spectral Regression approach to this end and employ a prototype-based approximate kernel regression scheme in order to scale the method for large-scale nonlinear discriminant learning. Experiments on two publicly available facial image databases show the effectiveness of the proposed approach, since it scales well with the data size and outperforms related approaches.
Impact of Corporate Social Responsibility Attributions on Employees’ Creative Performance: The Mediating Role of Psychological Safety

This study contributes to the growing literature on individual-level outcomes of corporate social responsibility (CSR). Employing a sample of 339 subordinate–supervisor dyads, we explored the differential impact of CSR attributions on employees’ creative performance in the telecom industry. We also introduced and tested the role of psychological safety as a mediator underlying this relationship. The results indicate that although intrinsic CSR attributions are not directly related to creative performance, extrinsic CSR attributions have a significant negative effect on creative performance. We also found that psychological safety mediates the positive relationship between intrinsic CSR and creative performance and the negative relationship between extrinsic CSR and creative performance. Directions for future research and implications for practice are discussed.
Large Corpus-based Semantic Feature Extraction for Pronoun Coreference

Semantic information is a very important factor in c o e e r e n r e s o u i o n The combination of large corpora and ‘deep’ analysis procedures has made it possible to acquire a range of semantic information and apply it to this task. In this paper, we generate two statistically-based semantic features from a large corpus and measure their influence on p r o n u n coreference. One is contextual compatibility, which decides if the antcedent can be used in the anaphor’s context; the other is role pair, which decides if the actions asserted of the antecedent and the anaphor are likely to apply to the same entity. We apply a semantic labeling system and a baseline coreference system to a large corpus to generate semantic patterns and convert them into features in a MaxEnt model. These features produce an absolute gain of 1.5% to 1.7% in resolution accuracy (a 6% reductin in e rrors). To understand the limitations of these features, we also extract patterns from the test corpus, use these patterns to train a coreference model, and examine some of the cases where coreference still fails. We also compare the performance of patterns extracted from semantic role labeling and syntax.
Method of determining training data for gesture recognition considering decay in gesture movements

Mobile phones and video game controllers using gesture recognition technologies enable easy and intuitive operations, such as those in drawing objects. Gesture recognition systems generally require several samples of training data before recognition takes place. However, recognition accuracy deteriorates as time passes since the trajectory of the gestures changes due to fatigue or forgetfulness. We investigated the change in gestures and fast found that several samples of gestures were not suitable for training data. Therefore, we propose two methods of finding appropriate data for training. We confirmed that the proposed methods found better training data than the conventional method from the viewpoints of the number of data collected and the accuracy of recognition.
PENGARUH PBL TERHADAP KEMAMPUAN BERPIKIR TINGKAT TINGGI SISWA KELAS V SD SE-GUGUS 01 KRETEK

Abstrak Penelitian bertujuan untuk mengetahui pengaruh model PBL terhadap kemampuan berpikir tingkat tinggi. Penelitian menggunakan pendekatan kuantitatif jenis quasi experiment dengan desain nonequivalent control group design. Variabel bebas adalah model PBL sedangkan variabel terikat adalah kemampuan berpikir tingkat tinggi. Populasi berjumlah 196 siswa. Sampel diambil dengan teknik purposive cluster random sampling sehingga diperoleh kelas VA SD 1 Kretek (kelompok eksperimen) dan kelas VA SD 2 Donotirto (kelompok kontrol) masing-masing 20 siswa. Teknik pengumpulan data menggunakan observasi dan tes. Instrumen divalidasi oleh expert judgement kemudian instrument tes diujicobakan dan pengujian dilakukan dengan analisis faktor. Teknik analisis data menggunakan analisis deskriptif dan statistik parametrik yang terdiri dari uji prasyarat (uji normalitas dan homogenitas) dan uji hipotesis (T-test). Data diolah dengan SPSS.20 for Windows dengan signifikansi 5%. Hasil penelitian menunjukkan ada pengaruh positif dan signifikan pada kemampuan berpikir tingkat tinggi siswa yang belajar menggunakan model PBL. Kata kunci: PBL, Kemampuan Berpikir Tingkat Tinggi Abstract The study was aimed at identifying the effect of the PBL model for higher order thinking skills. The study used quasi experimental type of quantitative approach with nonequivalent control group design. The independent variable of the study was PBL model, while the dependent variable was the higher order thinking skills. The populations of the study were 196 students. The samples were taken by using purposive cluster random sampling at class VA of SDN 1 Kretek (experimental group) and class VA of SDN 2 Donotirto (control group), each class had 20 students. The data were collected by doing observation and test. The instruments was validated by expert judgment and then the test instrument was tested using factor analysis. The data were analyzed using descriptive analysis and statistical parametric consisted of prerequisite test (normality and homogeneity test) and hypothesis test (T-test). The data were processed by SPSS.20 for Windows with a significance level of 5%. The results of the study showed a positive and significant effect on the higher order thinking skills of the students that learned using PBL model. Keywords: PBL, higher order thinking skills
An image compression and encryption scheme based on deep learning

Stacked Auto-Encoder (SAE) is a kind of deep learning algorithm for unsupervised learning. Which has multi layers that project the vector representation of input data into a lower vector space. These projection vectors are dense representations of the input data. As a result, SAE can be used for image compression. Using chaotic logistic map, the compression ones can further be encrypted. In this study, an application of image compression and encryption is suggested using SAE and chaotic logistic map. Experiments show that this application is feasible and effective. It can be used for image transmission and image protection on internet simultaneously.