SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Temporal Tile Shaping for spectral gap filling in audio transform coding in EVS

At low bitrates, next generation audio coders apply waveform preserving transform coding only for the perceptually most relevant parts of the signal. The resulting spectral gaps are filled in the decoder through techniques like Intelligent Gap Filling (IGF). IGF is currently being standardized in MPEG-H 3D-Audio and also in 3GPP Enhanced Voice Service (EVS). In IGF processing, spectral tiles are copied from a spectral source location into a target location and subsequently adapted by parameter steered post-processing to best match relevant properties of the original signal. Important properties include the spectral and temporal envelope. Since IGF operates on Modified Discrete Cosine Transform (MDCT) spectra of rather long time blocks, temporal envelope shaping is not trivial. In this paper, Temporal Tile Shaping (TTS) is presented. TTS is based on linear prediction in the MDCT domain for shaping the temporal structure of the gap filling signal in the target tiles with sub-block granularity. A listening test demonstrates the advantage of the proposed method.
Multi-Modal optical imaging platform for biology

With the progress of biological investigation, there comes a strong wish or need for imaging biological samples with multi-modality and on different scales.  To meet this need, this project will develop a multi-modal 3D optical imaging platform that images on the multi-scale, from tissues to molecules, by integrating optical coherence tomography (OCT), stimulated emission depletion microscopy (STED), and fluorescence correlation spectroscopy (FCS).  Incorporation of structured illumination, adaptive optics and focused engineering will improve spatial resolution, imaging depth, and molecular concentration sensitivity.  The investigated technique will be tested and applied to biology investigation, including but not limited to, tissue and cell recovery in the Zebrafish (as a model organism) after laser damage.  The multi-scale structural and functional image, as well as the dynamics on the protein level provided by this investigation, will potentially reveal tissue and cell recovery mechanisms, and in the long run contribute to the cure of disease along with understanding the mechanisms of tissue damage.  This project will advance the state-of-the-art in optical imaging, and create new links between basic research and biological and clinical applications.
Living Values Education Model in Learning and Extracurricular Activities to Construct the Students' Character

School is a place to construct the students’ character through various activities such as learning and extracurricular activities. These activities should be based on living values so that they are easily internalized and performed to construct the students’ character. The study uses research and development design. The first year of study is a development and validation stage of living values education model. Data collection technique uses observation, interview, documentation study and focus group discussion. Data analysis technique uses interactive model. The subjects of study are the students, teachers and headmasters of two junior high school and two senior high school in Bandung, Indonesia. The findings of study show that: 1) the living values education model in learning activity is the integration of living values into material, method, media, learning source and assessment. The integration of living values education into learning is conducted by contextual learning strategies (problem-based learning and work-based learning) with living values learning in pre, whilst and post activities (value reflection); 2) the living values education model in extracurricular activities of boy scout is conducted through general activity, outbound/character activity, competition, and camping. Living values are constructed through learning and extracurricular activity such as discipline, cooperative, solidarity, tolerance, care, togetherness, bravery, responsibility, compactness, entrepreneurship, creativity, independence, honesty, social skill and competence. Keyword: living values education, learning, extracurricular activity, boy scout, and character
Spectral efficiency performance of small-aperture terminals in NGSO satellite links

A non-geostationary orbit (NGSO) satellite system is currently being introduced by O3b Networks and this has generated interest in high-data rate services using NGSO satellites. In this paper the spectral efficiency performance of a general NGSO link is analyzed when it is used with small-aperture earth terminals. This analysis is applicable to a general NGSO satellite system operating in the Ka-band. This analysis takes into consideration the pertinent International Telecommunications Union (ITU) Radio Regulations (RR) emission constraints that allow NGSO systems to coexist with GSO systems. It is shown that the spectral efficiency available from small-aperture satellite links depends on the location of the earth terminal: higher latitudes and smaller differences between the longitudes of the earth terminal and the satellite give higher spectral efficiency levels.
Characteristics of atmospheric mercury deposition and size-fractionated particulate mercury in urban Nanjing, China

Abstract. A comprehensive measurement study of mercury wet deposition and size-fractionated particulate mercury (HgP) concurrent with meteorological variables was conducted from June 2011 to February 2012 to evaluate the characteristics of mercury deposition and particulate mercury in urban Nanjing, China. The volume-weighted mean (VWM) concentration of mercury in rainwater was 52.9 ng L−1 with a range of 46.3–63.6 ng L−1. The wet deposition per unit area was averaged 56.5 μg m−2 over 9 months, which was lower than that in most Chinese cities, but much higher than annual deposition in urban North America and Japan. The wet deposition flux exhibited obvious seasonal variation strongly linked with the amount of precipitation. Wet deposition in summer contributed more than 80% to the total amount. A part of contribution to wet deposition of mercury from anthropogenic sources was evidenced by the association between wet deposition and sulfates, as well as nitrates in rainwater. The ions correlated most significantly with mercury were formate, calcium, and potassium, which suggested that natural sources including vegetation and resuspended soil should be considered as an important factor to affect the wet deposition of mercury in Nanjing. The average HgP concentration was 1.10 ± 0.57 ng m−3. A distinct seasonal distribution of HgP concentrations was found to be higher in winter as a result of an increase in the PM10 concentration. Overall, more than half of the HgP existed in the particle size range less than 2.1 μm. The highest concentration of HgP in coarse particles was observed in summer, while HgP in fine particles dominated in fall and winter. The size distribution of averaged mercury content in particulates was bimodal, with two peaks in the bins of &lt; 0.7 μm and 4.7–5.8 μm. Dry deposition per unit area of HgP was estimated to be 47.2 μg m−2 using meteorological conditions and a size-resolved particle dry deposition model. This was 16.5% less than mercury wet deposition. Compared to HgP in fine particles, HgP in coarse particles contributed more to the total dry deposition due to higher deposition velocities. Negative correlation between precipitation and the HgP concentration reflected the effect of scavenging of HgP by precipitation.
Phase decomposition and ordering in Ni-11.3at.% Ti studied with atom probe tomography

The decomposition behavior of Ni-rich Ni-Ti was reassessed using Tomographic Atom Probe (TAP) and Laser Assisted Wide Angle Tomographic Atom Probe. Single crystalline specimens of Ni-11.3 at.% Ti were investigated, the states selected from the decomposition path were the metastable γ″ and γ' states introduced on the basis of small-angle neutron scattering (SANS) and the two-phase model for evaluation. The composition values of the precipitates in these states could not be confirmed by APT data as the interface of the ordered precipitates may not be neglected. The present results rather suggest to apply a three-phase model for the interpretation of SANS measurements, in which the width of the interface remains nearly unchanged and the L12 structure close to 3:1 stoichiometry is maintained in the core of the precipitates from the γ″ to the γ' state.
Impact of aroma and aroma interactions on sweet flavor perception in juices and soft beverages

In efforts to help consumers improve their health by reducing their consumption of sugar, salt and fat (Europea 2006/1924/EU), the European Commission recently set new standards for the formulation, production, labeling and advertising of fruit juices (Europea 2012/12/EU). Similar regulations are expected soon for soft drinks. Soft drinks have begun to suffer a poor public image because of their high content of sugar or sugar substitutes, which the beverage industry uses to counteract or mask undesirable flavors. It may be possible to avoid the need to add sugar to fruit juices and soft drinks if we can identify aroma compounds that help the consumer perceive a drink as sweet. Understanding the interaction between aromas allow act on sweetness perceived by the consumer and get drinks with less sugar added.

The purpose of the work is to identify aroma compounds responsible for the sensory properties of fruit beverages and analyze how they may affect taste perception (sweet, acid and bitter). Fruit juices and soft drinks will be analyzed in order to characterize the main compounds involved in the perception of aroma as fruity, floral, green and sweet. Close attention will be paid to the chirality of identified compounds in order to study structure-aroma relationships (chemosensory approach). The ability of aroma compounds to interact in influencing taste will also be studied in order to identify synergistic or suppression effects. Moreover, perceptual interactions between aroma and taste will be studied using specific taste compounds. 

The innovation of the proposed study lies in applying sensory-guided multidimensional chromatographic techniques to beverages, which are complex mixtures of aroma and taste compounds. Aroma compounds will be identified using multidimensional gas chromatography coupled to mass spectrometry and olfactometry (MDGC-MS-O). Odor-odor interactions will be studied using olfactoscanning, in which a GC-O is coupled to an olfactometer.
Study on Evaluation of Voltage Sag Exposed Areas in Large Scale Complex Distribution Network

With the development of modern network technology, user demand for power quality is increasing day by day. The paper studies on evaluation of voltage sag exposed areas (VSEA) based on main feeder zone method in large scale complex distribution network (DN), which provides analysis basis for feasibility analysis of suffering from voltage sag effects on sensitive load. According to the structure of DN, the theory of the main feeder zone is to partition the network into independent sub networks and coordinate with the others by the contact line. The zoning principle for each partition is that the size should be equal and the number of contact lines can't be too much. When calculating and analyzing the DN, each partition does it independently and parallelly. After that, relevant parameters of the coordination are sent to a coordination server. Then, it calculates relevant parameters of the coordination and sends them to each partition. Short-circuit calculation is the key step in the analysis of VSEA. On the basis of partitioning, short-circuit calculation for VSEA in DN is divided into two parts. One is that when fault point is located in medium voltage power network and another is that when the fault point is located in a single feeder. Experiments have been made on an IEEE 33 test case and a 500 feeders system and the effectiveness of the algorithm is verified.
Service Process Model to Support Mass Personalized Requirement

Traditional service process model is constructed for a single customer's personalized requirement.The service model can well satisfy the customer's requirement,however,when it comes to mass personalized requirements,the traditional way has to construct service models for each of the requirements.It not only leads to a sharp decrease in efficiency of the model construction,but also causes a great increase of the cost.For these reasons,the paper has proposed a Mass Personalized Service Process Model(MPSPM).The MPSPM first classifies personalized requirements by function,performance and value.And then on this basis,it makes a rule of the model based on the variable points so that minimum process models will be used to satisfy customers' personalized requirements in the service process.At last,the paper gives an example of the tourism service process model.Also,the paper develops a graphical modeling tool to test and verify the model.
Functional networks and cancer roles of the essential histone chaperone fact

Our knowledge of the mechanisms underlying cancer rapidly evolves. Diagnosis and treatment are improving, but cancer remains an urgent health burden. Whole-genome sequencing of cancers by the International Cancer Genome Consortium reveals that a key driving force in the etiology of cancer is the abnormal expression of chromatin regulators. The SilentFACT project focuses on an essential regulator of chromatin structure, the histone chaperone FACT. Recently identified small molecules disrupt normal FACT functions, and cancer cells stop growing when FACT levels are reduced. This reveals FACT as an anti-cancer target. We will apply potent cutting-edge genomics, quantitative proteomics and biochemical approaches to systematically dissect and validate the functional networks, novel interactors and chromatin targeting mechanisms of FACT. We will then subject the identified major interactors to a small molecule screen targeting FACT in human cancer cells. This will occur during secondments to the chemical biology platform of the Curie Institute in Paris and at an industrial partner. 

The SilentFACT project supports a Polish chromatin researcher for two years research and training at Munich University. Our timely research, training and communication aims, as well as exchanges with the international research community, will markedly advance the chromatin field, determine how this essential protein complex is involved in cancer and advance the therapeutic potential of FACT- targeted small molecules. SilentFACT will establish a solid basis for drug development, and advance the researcher’s leadership, networking and employability, helping to establish an independent research program at this exciting interface between basic chromatin science and translational medicine.
CHARACTERIZING A PHYSICAL CAPABILITY BY MOTION ANALYSIS

Motion Analysis is used to classify or rate human capability in a physical domain via a minimized movement and data collection protocol producing a discreet, overall figure of merit of the selected physical capability. The minimal protocol is determined by data mining of a more extensive movement and data collection. Protocols are relevant in medical, sports and occupational applications. Kinematic, kinetic, body type, Electromyography (EMG), Ground Reactive Force (GRF), demographic, and psychological data are encompassed. Resulting protocols are capable of transforming raw data representing specific human motions into an objective rating of a skill or capability related to those motions.
Hydrothermal processes of Alpine Tundra Lakes, Beiluhe Basin, Qinghai-Tibet Plateau

Abstract Most of the alpine tundra lakes, of average size 8,500 m 2 , are widely spread in the Beiluhe Basin on the Qing-Tibet Plateau, where ice-rich permafrost exists. Approximately 70% of the lakes are elliptical in shape and 15% are elongated. About 80% of the lakes are unfrozen to the bottom throughout the year while a larger portion of it, about 60%, may be underlain by taliks that penetrate permafrost. The BLH-A Lake, a representative lake with 2-m deep water in the region, has been observed for about four years (from 2006 to 2009). Ice starts to cover on the lake-surface after mid-October, and its thickness increases to 60 to 70 cm by the end of cold season. The ice cover then starts to melt in later April and melts completely around mid-May. The lake-surface temperatures change sinusoidally with the air temperatures, but lagging about half a month. The water warms with the increase of the water depth, and the maximum annual temperature appears at depth of 1.5 m with a value of 14.3 °C on July 30, 2007. The lake-bottom temperatures are not isothermal at different depths for most time of a year. It may be related to the variable climate, little snow, and intensive solar radiation. The mean annual lake-bottom temperatures are about 5.5 °C in the deep pool with 2 m deep water and 4.3 °C in the shallow nearshore zone with 1 m deep water. The warm lake-bottom causes considerable disturbance to the permafrost. Surveyed data show that there is no permafrost under the lake when the mean annual lake-bottom temperature is over 5 °C.
Clinical trial registries are of minimal use for identifying selective outcome and analysis reporting

This study aimed to examine selective outcome reporting (SOR) and selective analysis reporting (SAR) in randomized controlled trials (RCTs) and to explore the usefulness of trial registries for identifying SOR and SAR.We selected one "index outcome" for each of three comparative effectiveness reviews (CERs) of pharmacotherapy and extracted data on this outcome from trial registries and from study publications.Among 50 RCTs published since 2005 and reporting the index outcome, only 50% were listed in registries; 90% of RCTs were assessed as having SOR or SAR. The index outcome in the registry was different from that in the publication in 75% of trials in two CERs, and not specified at all in the third. Reported outcomes and analyses were not consistent between the publication's methods section and the results section in 33% and 46% of the two CERs where the index outcome was a benefit. There were no statistically significant predictors of SOR and SAR in our small sample where some predictors lacked variability.The SOR and SAR were frequent in this pilot study, and the most common type of SOR was the publication of outcomes that were not pre-specified. Trial registries were of little use in identifying SOR and of no use in identifying SAR.
Clinical pharmacist review: A randomised controlled trial

To determine if medication review by a clinical pharmacist of older patients in the ED impacted on admission to hospital and other outcomes.A stratified, randomised controlled study comparing the intervention to current practice. A tertiary referral ED in New South Wales, Australia. Older people (>70 years) living at home who initially reported taking greater than five medications. Medication review by an experienced hospital pharmacist within the ED. Rate of admission, rate of readmission, length of stay and admission to an aged care facility at 4 months post presentation, and rate of general practitioner acceptance of pharmacist recommendations.The odds of admission decreased for those receiving the intervention (odds ratio [OR] = 0.68, 95% confidence interval [CI]: 0.53, 0.87; P = 0.002). There was no evidence that the intervention affected hospital length of stay for admitted patients (0.09 days change, 95% CI -0.08, 0.25; P = 0.31), the rate of re-presentation (0.08% change, 95% CI -0.12, 0.28; P = 0.44) or admission to an aged care facility. The odds of admission to an aged care facility increased with the Identification of Seniors at Risk score. General practitioners adopted 49% of pharmacists' recommendations.The presence of an experienced pharmacist in the ED reduced hospital admissions. Further study is required to determine longer term impacts of General Medical Practitioner acceptance of pharmacists' recommendations.
The Visual Turing Test for Scene Reconstruction

We present the first large scale system for capturing and rendering relight able scene reconstructions from massive unstructured photo collections taken under different illumination conditions and viewpoints. We combine photos taken from many sources, Flickr-Based ground-level imagery, oblique aerial views, and street view, to recover models that are significantly more complete and detailed than previously demonstrated. We demonstrate the ability to match both the viewpoint and illumination of arbitrary input photos, enabling a Visual Turing Test in which photo and rendering are viewed side-by-side and the observer has to guess which is which. While we cannot yet fool human perception, the gap is closing.
Economic Crisis, (Creative) Destruction, and the Current Urban Condition

This paper investigates the contemporary economic crisis, and explores crisis theories developed by Marx and Marxists alongside discourses surrounding human geography and the urban condition. Two positions currently dominate Marxist crisis theory: realization/overproduction and Law of the Tendential Fall in the Rate of Profit. Within human geography, however, scholars rarely discuss crisis theory in and of itself, and when they do, they tend to rely solely on the realization/overproduction approach popularized by David Harvey. This paper argues that both approaches aid a conceptualization of the current crisis while deepening our understanding of changing urban policies and landscapes. This paper also claims—in contrast to Keynesians' calls—that crises are “solved” by destruction and devaluation of capital, not an increase in effective demand. These debates, as of yet not thoroughly discussed in human geography, can provide us with new knowledge concerning the current crisis and contemporary urban policies.
Spectral analysis and identification of noises in quantum systems

In quantum information processing, knowledge of the noise in the system is crucial for high-precision manipulation and tomography of coherent quantum operations. Existing strategies for identifying this noise require the use of additional quantum devices or control pulses. We present a noise-identification method directly based on the system's non-Markovian response of an ensemble measurement to the noise. The noise spectrum is identified by reversing the response relationship in the frequency domain. For illustration, the method is applied to superconducting charge qubits, but it is equally applicable to any type of qubits. We find that the identification strategy recovers the well-known Fermi's golden rule under the lowest-order perturbation approximation, which corresponds to the Markovian limit when the measurement time is much longer than the noise correlation time. Beyond such approximation, it is possible to further improve the precision at the so-called optimal point by incorporating the transient response data in the non-Markovian regime. This method is verified with experimental data from coherent oscillations in a superconducting charge qubit.