Miracle-dz/UniFAR-FTUs huggingface dataset:
Language recognition system using language branch discriminative information

This paper presents our study of using language branch discriminative information effectively for language recognition. Language branch variability (LBV) method based on factor analysis techniques is proposed. In LBV method, language branch variability factor is obtained by concatenating low-dimensional factors in the language branch variability spaces. Language models are trained within language branches and between languages. Experiments on NIST 2011 Language Recognition Evaluation (LRE) 30s, 10s and 03s tasks show the proposed LBV method provides stable improvement compared to the state-of-art total variability (TV) approach. In 30-second task, it gains relative improvement by 14.6% in equal error rate (EER) and 12.9% in minimum decision cost value (minDCF), and in new metrics of NIST 2011 LRE, it leads to relative improvement of 7.2%-17.7%.
Hallucinating Face in the DCT Domain

In this paper, we propose a novel learning-based face hallucination framework built in the DCT domain, which can produce a high-resolution face image from a single low-resolution one. The problem is formulated as inferring the DCT coefficients in frequency domain instead of estimating pixel intensities in spatial domain. Our study shows that DC coefficients can be estimated fairly accurately by simple interpolation-based methods. AC coefficients, which contain the information of local features of face image, cannot be estimated well using interpolation. A simple but effective learning-based inference model is proposed to infer the ac coefficients. Experiments have been conducted to demonstrate the effectiveness of the proposed method in producing high quality hallucinated face images.
201o International Conference on Computer and Communication Technologies in Agriculture Engineering Online Diagnosis of Brick Interior Fault Based on Dynamic Fuzzy Cluster Analysis

A method to online detect and diagnose brick interior different types of faults was proposed based on striking sound. Applied spectrum analysis to striking sound signals of bricks, picked out characteristic frequencies of every spectrum to form a data matrix, then applied fuzzy cluster analysis to get classification, next computed corresponding average similarity to every cluster, judged bricks fault type by comparing them when online detection. Experiment results show that the method is effective.
Profiles of the clinical sample of the children on the Trauma Symptom Checklist for Children (TSCC)

Ljestvica simptoma traume kod djece (Trauma Symptom Checklist for Children – TSCC) je mjera samoiskaza o posttraumatskoj patnji i boli, te s njom povezanoj simptomatologiji. Namijenjena je procjenjivanju djece koja su proživjela traumatske događaje, ukljucujuci i tjelesno i spolno zlostavljanje u djetinjstvu, viktimizaciju od strane vrsnjaka (npr. tjelesne ili spolne napade), velike gubitke, svjedocenje nasilju nad drugima i prirodne katastrofe. Cijela TSCC lista sastoji se od 54 cestice, među kojima su i one koje cine dvije pod-ljestvice valjanosti (odgovori koji umanjuju i odgovori koji preuvelicavaju simptome) ; sest klinickih pod-ljestvica: anksioznost, depresija, ljutnja, posttraumatski stres, disocijacija, zaokupljenost spolnoscu, te osam kriticnih cestica. Klinicki uzorak (N=794) ukljucivao je djecu s razlicitim vrstama traumatskih iskustava, ispitanu TSCC-om u Poliklinici za zastitu djece grada Zagreba. Napravljeni su profili za pojedine vrste trauma: smrt majke, smrt oca, smrt roditelja, traumatski događaj, tjelesno zlostavljanje, emocionalno zlostavljanje, svjedocenje nasilju u obitelji, vrsnjacko nasilje. Svi profili su imali nekoliko zajednickih karakteristika. Najistaknutija je ta da je na svim profilima povisena ljestvica Posttraumatskog stresa, koja mjeri klasicne posttraumatske simptome, koji ukljucuju intruzivne, nametljive misli, osjete i sjecanja na bolne događaje ; nocne more ; strahove od muskaraca ili žena ; kognitivno izbjegavanje negativnih misli i sjecanja.
One-dimensional N 2 gas inside single-walled carbon nanotubes

The unexpected presence of a linear arrangement of co-axially oriented N2 molecules inside aligned single-walled carbon nanotubes is revealed by high resolution near-edge x-ray absorption spectroscopy. The encapsulated N2 molecules exhibit free stretching vibrations with a long electronic lifetime of the x-ray-excited anti-bonding π⋆ states. Molecular dynamics simulations confirm that narrow-diameter nanotubes (d< 1 nm) are crucial for stabilizing the linear arrangement of aligned N2 molecules.
Temporally Selective Processing of Communication Signals by Auditory Midbrain 1 Neurons 2 3 4

36 Perception of the temporal structure of acoustic signals contributes critically to vocal 37 signaling. In the aquatic clawed frog Xenopus laevis, calls differ primarily in the 38 temporal parameter of click rate, which conveys sexual identity and reproductive state. 39 We show here that an ensemble of auditory neurons in the laminar nucleus of the torus 40 semicircularis (TS) of X. laevis specialize in encoding vocalization click rates. We 41 recorded single TS units while pure tones, natural calls, and synthetic clicks were 42 presented directly to the tympanum via a vibration stimulation probe. Synthesized click 43 rates ranged from 4 to 50 Hz, the rate at which the clicks begin to overlap. Frequency 44 selectivity and temporal processing were characterized using response-intensity curves, 45 temporal discharge patterns, and autocorrelations of reduplicated responses to click 46 trains. Characteristic frequencies ranged from 140 to 3250 Hz, with minimum thresholds 47 of -90 dB re 1 mm/s at 500 Hz and -76 dB at 1100 Hz near the dominant frequency of 48 female clicks. Unlike units in the auditory nerve and dorsal medullary nucleus, most 49 toral units respond selectively to the behaviorally relevant temporal feature of the rate of 50 clicks in calls. The majority of neurons (85%) were selective for click rates and this 51 selectivity remained unchanged over sound levels 10 to 20 dB above threshold. Selective 52 neurons give phasic, tonic, or adapting responses to tone bursts and click trains. Some 53 algorithms that could compute temporally selective receptive fields are described. 54
Re-examining Scheduling and Communication in Parallel Programs

Modern MPPs and NOWs have evolved in ways that affect both the scheduling of parallel applications as well as the communication layer. The presence of a full operating systems upon each processor as well as the need to support interactive users substantially alter the traditional environment. Parallel applications may no longer be executing in the dedicated environment that fast communication layers, such as Active Messages, assume. In this paper we present a simulation-based study of the effects of a non-dedicated environment on parallel applications and investigate one method for reducing the resulting performance impact. Our results quantify the performance impact of the size of the flow-control window on parallel applications. We investigate increasing the size of this window to ameliorate the effect of various scheduling disturbances. Our results show that additional buffering in the communication layer significantly improves performance in the presence of large scheduling irregularities (e.g., those that occur when parallel applications are locally scheduled) but has a detrimental effect with smaller disturbances (e.g., quantum skew, daemon activity, and interactive users).
Word and Symbol Spotting Using Spatial Organization of Local Descriptors

In this paper we present a method to spot both text and graphical symbols in a collection of images of wiring diagrams. Word spotting and symbol spotting methods tend to use the most discriminative features to describe the objects to be located. This fact makes that one can not tackle with textual and symbolic information at the same time. We propose a spotting architecture able to index both words and symbols, inspired in off-the-shelf object recognition architectures. Keypoints are extracted from a document image and a local descriptor is computed at each of these points of interest. The spatial organization of these descriptors validate the hypothesis to find an object (text or symbol) in a certain location and under a certain pose.
Towards Optimal Community Detection: From Trees to General Weighted Networks

Many networks including the Internet, social networks, and biological relations are found to be naturally divided into communities of densely connected nodes, known as community structure. Since Newman’s suggestion of using modularity as a measure to qualify the goodness of community structures, many eﬃcient methods to maximize modularity have been proposed but without optimality guarantees . In this paper, we study exact and theoretically near-optimal algorithms for maximizing modularity. In the ﬁrst part, we investigate the complexity and approximability of the problem on tree graphs. Somewhat surprisingly, the problem is still NP-complete on trees. We then provide a polynomial time algorithm for uniform-weighted trees, a pseudo-polynomial time algorithm and a PTAS for trees with arbitrary weights. In the second part, we propose sparse metric , a set of linear programming formulations for general graphs. By exploiting the graph connectivity structure, sparse metrics helps to reduce substantially the number of constraints, thus, vastly improve the running time for solving linear programming and integer programming. As a result, networks of thousands of vertices can be solved in minutes while the current largest instance solved with mathematical programming has less than 250 vertices.
A mix-down assistant interface with reuse of examples

Mix-down (track down) occurs at the final stage of commercial music production. Selecting effectors for each sound track and setting the parameters of each effecter balances the sound from each track in stereo (mix-down design). The mix-down process greatly influences the final sound quality. Recently, professional mixing tasks have been done on digital audio workstations, i.e., software on PCs. In this sense, amateur musicians have entered the realm of professional production. However, it is difficult for mix-down beginners to obtain the design they want. One rational way of assisting mix-down is by using examples. In this paper we propose a mix-down assistance interface that copies an existing mix-down design to the given music, and describe its functions, evaluations and possibilities.
Polymorphic Fractional Permission Inference

An automatic golf ball dispenser includes a loading assembly, a base, and a delivery assembly. The loading assembly includes a bowl and a supply tube. The volume of the bowl is structured to hold a large quantity of golf balls. The bowl is sized to snugly fit into the supply tube. The base includes a platform, a tee, and a projection. The loading assembly is rigidly connected to the base, but may be quickly removed. A tee is fastened to the platform at the opposite end thereof. The delivery assembly comprises a delivery tube, a loading interface, a stop, and a plug. The loading interface is fastened to the first end of the delivery tube. The first end of the delivery assembly is pivotally connected to the loading assembly at substantially the second end thereof. A stop is fastened to the bottom of the delivery tube at the first end thereof. When the delivery tube is swung downward, a ball falls through a first cutout of the delivery tube and rolls to a second cutout of the delivery tube. The ball falls through the second cutout and rests on the tee. The delivery assembly then retracts to an upright position. The delivery tube may be actuated in a semi-automatic or fully automatic mode.
A theoretical understanding of the literature on student voice in the science classroom

Abstract Background: Incorporating student voice into the science classroom has the potential to positively impact science teaching and learning. However, students are rarely consulted on school and classroom matters. This literature review examines the effects of including student voice in the science classroom. Purpose: The purpose of this literature review was to explore the research on student voice in the science classroom. This review includes research from a variety of science education sources and was gathered and analyzed using a systematic literature review process. Design and methods: I examined articles from a variety of educational journals. I used three key terms as my primary search terms: student voice, student perceptions, and student perspectives. The primary search terms were used in conjunction with qualifiers that included science education, science curriculum, student emergent curriculum, student centered curriculum, and science. In order to be included in the literature review, articles needed to be published in peer-reviewed, academic journals, contain clearly defined methods (including quantitative, qualitative, or mixed methods), include research conducted in K through 12 classrooms, include the term ‘student voice’, and focus specifically on science. I included articles from a variety of science classrooms including general middle school science, science-specific after-school programs, secondary science classrooms in a variety of countries, and physics, biology, and aerospace classrooms. No restrictions were placed on the country in which the research was conducted or on the date of the research. Conclusions: The results of the literature review process uncovered several themes within the literature on student voice. Student voice research is situated within two main theoretical perspectives, critical theory and social constructivism, which I used as the main themes to structure my findings. I also identified subcategories under each main theme to further structure the results. Under critical theory, I identified three subcategories: determining classroom topics, developing science agency, and forming identities. Under social constructivism, I discovered four subcategories: forming identities, incorporating prior knowledge and experience, communicating interest in topics and classroom activities, and improving student–teacher relationship. The research supports that allowing students a voice in the classroom can lead them to feel empowered, able to construct their own meaning and value in science, demonstrate increased engagement and achievement, and become more motivated. I conclude students should be allowed a voice in the science classroom and to continue to ignore these voices would be a disservice to students and educators alike.
Designing mobile health technology for bipolar disorder: a field trial of the monarca system

An increasing number of pervasive healthcare systems are being designed, that allow people to monitor and get feedback on their health and wellness. To address the challenges of self-management of mental illnesses, we have developed the MONARCA system - a personal monitoring system for bipolar patients. We conducted a 14 week field trial in which 12 patients used the system, and we report findings focusing on their experiences. The results were positive; compared to using paper-based forms, the adherence to self-assessment improved; the system was considered very easy to use; and the perceived usefulness of the system was high. Based on this study, the paper discusses three HCI questions related to the design of personal health technologies; how to design for disease awareness and self-treatment, how to ensure adherence to personal health technologies, and the roles of different types of technology platforms.
Trust and Trustworthiness in a Sequential Bargaining Game

We use a two-person extensive form bargaining game to examine individual's trusting and reciprocal behavior and how those relate to their scores on a trust survey. In keeping with prior research, we find that the 'self-interested' outcome is rejected by a majority of individuals. People who score high on the trust survey are both trusting and are also trustworthy, in that they reciprocate others' trust. But, people with low trust scores often exhibit trust but are not trustworthy. These 'inconsistent trusters' seem to be interested in exploiting the trust and trustworthiness of others in increasing their own payoff.
A real-time kernel for wireless sensor networks employed in rescue scenarios

In rescue scenarios, real-time requirements are one key issue when using wireless sensor networks (WSNs) for tracking and monitoring of rescue forces. If a node detects an alarm condition, the alarm message must be delivered to the base station in time. To guarantee the timely delivery the whole system architecture has to fulfill real-time requirements. There are only a few real-time architectures which can be used for sensor networks. These architectures are too generic to comply with the other requirements of a WSN architecture, like RAM usage and energy awareness.
JCat: a novel tool to adapt codon usage of a target gene to its potential expression host

A novel method for the adaptation of target gene codon usage to most sequenced prokaryotes and selected eukaryotic gene expression hosts was developed to improve heterologous protein production. In contrast to existing tools, JCat (Java Codon Adaptation Tool) does not require the manual definition of highly expressed genes and is, therefore, a very rapid and easy method. Further options of JCat for codon adaptation include the avoidance of unwanted cleavage sites for restriction enzymes and Rho-independent transcription terminators. The output of JCat is both graphically and as Codon Adaptation Index (CAI) values given for the pasted sequence and the newly adapted sequence. Additionally, a list of genes in FASTA-format can be uploaded to calculate CAI values. In one example, all genes of the genome of Caenorhabditis elegans were adapted to Escherichia coli codon usage and further optimized to avoid commonly used restriction sites. In a second example, the Pseudomonas aeruginosa exbD gene codon usage was adapted to E.coli codon usage with parallel avoidance of the same restriction sites. For both, the degree of introduced changes was documented and evaluated. JCat is integrated into the PRODORIC database that hosts all required information on the various organisms to fulfill the requested calculations. JCat is freely accessible at .
Collection and storage of human blood cells for mRNA expression profiling: a 15-month stability study.

Gene expression profiling is increasingly important in human health research and applications (1). Unfortunately, the human tissue samples required for this process, particularly those from healthy individuals, are not safely and easily available. Therefore, the use of peripheral blood mononuclear cells (PBMCs) as surrogate material for high-throughput analysis of gene expression is currently being explored. These cells are involved in a large variety of immune-related diseases, including infection and cancer. Moreover, in recent studies, characteristic sets of transcriptional changes in PBMCs were associated with physiologic or pathologic states (2)(3)(4). Thus, a PBMC transcriptome may be used as an individual’s health sensor, a concept referred to as the sentinel principle (5). In large multicenter studies, the reliable and reproducible detection of transcript concentrations from PBMCs requires standardization of blood sampling and an efficient method of conservation. Indeed, many preanalytical factors during collection, processing, and storage of blood specimens may affect RNA and its subsequent use as a biomarker (6). Although numerous technical and clinical aspects of blood sampling have been addressed (7)(8)(9), comprehensive data on the long-term storage and stability of RNA from PBMCs are needed. Here we report experiments performed over 15 months to test the preanalytical conditions involved in blood collection procedures and PBMC storage. Blood samples were collected from healthy donors into EDTA and sodium heparin tubes. RNA extractions were performed on isolated PBMCs stored at −80 °C up to 15 months in 4 different lysis buffers. Using spectrometry and real-time PCR, we compared the concentration, purity, integrity, and stability of the total RNA. We propose a quality-assured and controlled protocol of PBMC banking for further mRNA expression analysis. After informed consent was obtained from 12 unrelated adult volunteers, whole blood (10 mL) was collected by standardized venipuncture in …
Complexity of Networks

Network or graph structures are ubiquitous in the study of complex systems. Often, we are interested in complexity trends of these system as it evolves under some dynamic. An example might be looking at the complexity of a food web as species enter an ecosystem via migration or speciation, and leave via extinction. In this paper, a complexity measure of networks is proposed based on the {\em complexity is information content} paradigm. To apply this paradigm to any object, one must fix two things: a representation language, in which strings of symbols from some alphabet describe, or stand for the objects being considered; and a means of determining when two such descriptions refer to the same object. With these two things set, the information content of an object can be computed in principle from the number of equivalent descriptions describing a particular object. I propose a simple representation language for undirected graphs that can be encoded as a bitstring, and equivalence is a topological equivalence. I also present an algorithm for computing the complexity of an arbitrary undirected network.
DESIGN AND IMPLEMENTATION OF 128-BIT QUANTUM-DOT CELLULAR AUTOMATA ADDER

In this paper, a novel quantum-dot cellular automata (QCA) adder design is presented that decrease the number of QCA cells compared to previously report designs. The proposed one-bit QCA adder design is based on a new algorithm that requires only three majority gates and two inverters for the QCA addition. A novel 128-bit adder designed in QCA was implemented. It achieved speed performances higher than all the existing. QCA adders, with an area requirement comparable with the cheap RCA and CFA established. The novel adder operates in the RCA fashion, but it could propagate a carry signal through a number of cascaded MGs significantly lower than conventional RCA adders. In adding together, because of the adopted basic logic and layout strategy, the number of clock cycles required for completing the explanation was limited. As transistors reduce in size more and more of them can be accommodated in a single die, thus increasing chip computational capabilities. However, transistors cannot find much smaller than their current size. The quantum-dot cellular automata approach represents one of the possible solutions in overcome this physical limit, even though the design of logic modules in QCA is not forever straightforward.
Edition with Arabic mathematical notation

There are many examples of formula editors, also called equation editors. For example, WIRIS editor is a web based formula editor from Maths for More and is the first JavaScript editor to provide a rich user interface for the edition of the Arabic mathematical notation [4]. The Dadzilla MathML browser for Arabic mathematical presentation also includes a MathML editor [3]. It would not be fair not to mention Math Type editor or the Microsoft Equation Editor among others.