Miracle-dz/UniFAR-FTUs huggingface dataset:
Opinion Detection by Combining Machine Learning & Linguistic Tools

paper presents our work in the Multilingual Opinion Analysis Task (MOAT) done during the NTCIR-8 evaluation campaign. We suggested a probabilistic model derived from Muller's method (1) that allows us to determine and weight terms (isolated words, bigram of words, noun phrases, etc.) belonging to a given category (or subset of the corpus) compared to the rest of the corpus. Based on these terms and their weights, we have adopted the logistic regression method in order to define the most probable category for each input sentence. Our participation was strongly motivated by the objective to suggest an approach on the polarity subtask of the MOAT with a minimal linguistic component with a possibility to have its performance improved by natural language specific tools. Thus, for the English language, we have adopted a combination of both machine learning approach (Z score and logistic regression) and a polarity dictionary (linguistic component). For the traditional Chinese and Japanese languages however, our current system is limited to a machine learning scheme.
Assuming Facts Are Expressed More Than Once

Distant supervision (DS) is a method for training sentence-level information extraction models using only an unlabeled corpus and a knowledge base (KB). Fundamental to many DS approaches is the assumption that KB facts are expressed at least once (EALO) in the text corpus. Often, however, KB facts are actually expressed in the corpus many times, in which cases EALO-based systems underuse the available training data. To address this problem, we introduce the “expressed at least α percent” (EALA) assumption, which asserts that expressions of KB facts account for up to α% of the corresponding mentions. We show that for the same level of precision as the EALO approach, the EALA approach achieves up to 66% higher recall on category recognition and 53% higher recall on relation recognition.
“There’s a difference between Black people and n******”: A cultural contracts exploration of interracial communication barriers

Fear, prejudice, and racism create communication barriers between Black and White individuals which complicates interracial communication (Hopson, 2011). This qualitative, interpretive analysis is framed by cultural contracts theory (Jackson, 2002, 2009) and informed by 31 interviews with White participants as co-researchers. Thematic analysis (Braun & Clark, 2006; Owen, 1984) revealed White interviewees held ready-to-sign cultural contracts about Black community members, with no room for (re)negotiation. Specifically, interview narratives exposed the follow dominant group members’ fears: having an affinity for or against particular types of Black people; fearing predominantly Black geographic locations; preferring not to be the only White person in the room; the belief that Black people are responsible for White’s pejorative ascriptions about them, and the claim that Black people hinder themselves.
Novel Range-Free Localization Based on Multidimensional Support Vector Regression Trained in the Primal Space

A novel range-free localization algorithm based on the multidimensional support vector regression (MSVR) is proposed in this paper. The range-free localization problem is formulated as a multidimensional regression problem, and a new MSVR training method is proposed to solve the regression problem. Unlike standard support vector regression, the proposed MSVR allows multiple outputs and localizes the sensors without resorting to multilateration. The training of the MSVR is formulated directly in primal space and it can be solved in two ways. First, it is formulated as a second-order cone programming and trained by convex optimization. Second, its own training method is developed based on the Newton-Raphson method. A simulation is conducted for both isotropic and anisotropic networks, and the proposed method exhibits excellent and robust performance in both isotropic and anisotropic networks.
Gait identification using cumulants of accelerometer data

This paper describes gait identification using cumulants of accelerometer data. Accelerometer data of three different walking speeds for each subject (normal, slow and fast) was acquired by a cell phone placed on the person's hip. Data analysis was based on gait cycles that were detected first. Cumulants of order from 1 to 4 with lags from 0 to 10 for second, third and fourth order cumulants were calculated from the cycles and used as feature vectors for classification which was accomplished by support vector machines (SVM). Six healthy young subjects participated in the experiment. According to their gait classification the average recognition rate was 93.1%. A similarity measure for discerning different walking types of the same subject was also introduced using principal component analysis (PCA).
Broad-band HBT BPSK and IQ modulator MMICs and millimeter-wave vector signal characterization

Reflection-type binary phase-shift keying and in-phase and quadrature modulator monolithic microwave integrated circuits (MMICs) are reported in this paper. These MMICs are fabricated by 1-/spl mu/m HBT process and evaluated successfully under vector signal characterization. A cold-mode HBT device model with varying bias conditions is proposed, which is suitable for millimeter-wave circuit design and simulation. The analysis and design equations of imbalance effects for the reflection-type modulators are also presented. These MMICs demonstrate measured error vector magnitude of less than 12%, a carrier rejection of better than 15 dB, and an adjacent channel power ratio of better than -21 dBc from 50 to 110 GHz.
Development Accounting: Conceptually Flawed and Inconsistent with Empirical Evidence

Development accounting depends on two simplifying assumptions, that economies can be represented by a common aggregate production function and that aggregate factors of production are paid their social marginal products. An aggregate production function can explain income across countries, but the mathematics of the aggregate production function and the empirical evidence both indicate that aggregate factors are paid a small fraction of their social marginal products. As a consequence, development accounting underestimates the income differences due to human capital and overestimates the differences due to TFP. This error cannot be corrected because human capital’s social marginal product is not observable.
Comparison of impedance at the microelectrode-saline and microelectrode-culture medium interface

The impedance characteristics of gold-plated indium-tin-oxide microelectrodes immersed in culture medium (MEM) are described and compared with the impedance characteristics observed when those microelectrodes are immersed in isotonic saline. For microelectrode areas of approximately 100 mu m/sup 2/, applied voltage levels of 5, 50 and 100 mV, and for frequencies of from 100 Hz to 10 kHz the resistance, capacitance, capacitive reactance, and total impedance are given as a function of frequency both in culture medium and in saline. The results, which hold for current densities ranging from 0.45 to 700 pA/ mu /sup 2/, are compared. Also given are the alpha and K values determining the frequency characteristics of the interface resistance and capacitance in medium and in saline. <<ETX>>
A Case-Based approach to Software Component Retrieval

A major problem concerning the reusability of software is the retrieval of software components. Different approaches, ranging from automatic indexing methods to knowledge-based systems, have been followed to solve this problem. In this paper we present three prototypes which implement different methods of component indexing. From these prototypes we propose a hybrid system that uses CBR as primary approach but taking advantage of IR methods to facilitate the access to the adequate components.
Chick myotendinous antigen. I. A monoclonal antibody as a marker for tendon and muscle morphogenesis

Extracellular matrix components are likely to be involved in the interaction of muscle with nonmuscle cells during morphogenesis and in adult skeletal muscle. With the aim of identifying relevant molecules, we generated monoclonal antibodies that react with the endomysium, i.e., the extracellular matrix on the surface of single muscle fibers. Antibody M1, which is described here, specifically labeled the endomysium of chick anterior latissimus dorsi muscle (but neither the perimysium nor, with the exception of blood vessels and perineurium, the epimysium ). Endomysium labeling was restricted to proximal and distal portions of muscle fibers near their insertion points to tendon, but absent from medial regions of the muscle. Myotendinous junctions and tendon fascicles were intensely labeled by M1 antibody. In chick embryos, " myotendinous antigen" (as we tentatively call the epitope recognized by M1 antibody) appeared first in the perichondrium of vertebrae and limb cartilage elements, from where it gradually extended to the premuscle masses. Around day 6, tendon primordia were clearly labeled. The other structures labeled by M1 antibody in chick embryos were developing smooth muscle tissues, especially aorta, gizzard, and lung buds. In general, tissues labeled with M1 antibody appeared to be a subset of the ones accumulating fibronectin. In cell cultures, M1 antibody binds to fuzzy, fibrillar material on the substrate and cell surfaces of living fibroblast and myogenic cells, which confirms an extracellular location of the antigenic site. The appearance of myotendinous antigen during limb morphogenesis and its distribution in adult muscle and tendon are compatible with the idea that it might be involved in attaching muscle fibers to tendon fascicles. Its biochemical characterization is described in the accompanying paper ( Chiquet , M., and D. Fambrough , 1984, J. Cell Biol. 98:1937-1946).
When the Sun Prickles Your Nose: An EEG Study Identifying Neural Bases of Photic Sneezing

Background Exposure to bright light such as sunlight elicits a sneeze or prickling sensation in about one of every four individuals. This study presents the first scientific examination of this phenomenon, called ‘the photic sneeze reflex’. Methodology and Principal Findings In the present experiment, ‘photic sneezers’ and controls were exposed to a standard checkerboard stimulus (block 1) and bright flashing lights (block 2) while their EEG (electro-encephalogram) was recorded. Remarkably, we found a generally enhanced excitability of the visual cortex (mainly in the cuneus) to visual stimuli in ‘photic sneezers’ compared with control subjects. In addition, a stronger prickling sensation in the nose of photic sneezers was found to be associated with activation in the insula and stronger activation in the secondary somatosensory cortex. Conclusion We propose that the photic sneeze phenomenon might be the consequence of higher sensitivity to visual stimuli in the visual cortex and of co-activation of somatosensory areas. The ‘photic sneeze reflex’ is therefore not a classical reflex that occurs only at a brainstem or spinal cord level but, in stark contrast to many theories, involves also specific cortical areas.
Pacific Asia Conference on Information Systems ( PACIS ) 7-15-2012 μ-Fractal Based Data Perturbation Algorithm For Privacy Protection

Many organizations publish anonymous medical data for sociology research, health research, education and other useful studies. Although attributes that clearly identify individuals, such as name and certain personal identity numbers are removed, the combination of some other information, like the date of birth, gender, post-code etc. can still be used to identify an individual. Existing data perturbation techniques are able to de-identify the data prior to publishing, but they suffer from making the process irreversible, so that the original data cannot be fully recovered. How to maintain the usability and utility of privacy-protected data as well as make the published data restorable for authorized users is a major issue. In this paper, we propose a novel robust data perturbation algorithm that can withstand brute force attacks, while the perturbed data pattern is indistinguishable from the original data pattern. A distinguishing feature of our data perturbation method is that, using fractal theory to derive perturbation vectors, it provides high privacy protection together with fully reversible data perturbation while maintaining maximal data utility. Experiments based on practical data confirm the desired operation of our data perturbation algorithm and its effectiveness. The results obtained from our experiments leads us to conclude that the proposed approach is able to computationally resist brute-force attacks as well as maintain the same data distribution type as that of original data.
Consumer Trust in Information Sources

Trust is essential to understanding public reaction to innovative issues. This research focuses on trust in information sources by explicating the construct of trust and testing a comprehensive model on several information sources about genetically modified foods. Results from a survey of 369 participants reveal the significance of projecting competence and the role of the environment in which a target public receives information. Perceptions of regulatory, social, business, and technical environments affect how likely individuals are to follow advice from institutions like the Food and Drug Administration and the news media. Future research should incorporate knowledge levels and personal relevance as variables likely to influence trusting relationships.
AI-KU at SemEval-2016 Task 11: Word Embeddings and Substring Features for Complex Word Identification

We investigate the usage of word embeddings, namely Glove and SCODE, along with substring features on Complex Word Identification task. We introduce two systems: the first system utilizes the word embeddings of the target word and its substrings as features while the other considers the context information by using the embeddings of the surrounding words as well. Although the proposed representations perform below the average with nonlinear models, we show that word embeddings with substring features is an effective representation choice when employed with linear classifiers.
Improving Serodiagnosis of Human and Canine Leishmaniasis with Recombinant Leishmania braziliensis Cathepsin L-like Protein and a Synthetic Peptide Containing Its Linear B-cell Epitope

Background The early and correct diagnosis of human leishmaniasis is essential for disease treatment. Another important step in the control of visceral leishmaniasis is the identification of infected dogs, which are the main domestic reservoir of L. infantum. Recombinant proteins and synthetic peptides based on Leishmania genes have emerged as valuable targets for serodiagnosis due to their increased sensitivity, specificity and potential for standardization. Cathepsin L-like genes are surface antigens that are secreted by amastigotes and have little similarity to host proteins, factors that enable this protein as a good target for serodiagnosis of the leishmaniasis. Methodology/Principal Findings We mapped a linear B-cell epitope within the Cathepsin L-like protein from L. braziliensis. A synthetic peptide containing the epitope and the recombinant protein was evaluated for serodiagnosis of human tegumentary and visceral leishmaniasis, as well as canine visceral leishmaniasis. Conclusions/Significance The recombinant protein performed best for human tegumentary and canine visceral leishmaniasis, with 96.30% and 89.33% accuracy, respectively. The synthetic peptide was the best to discriminate human visceral leishmaniasis, with 97.14% specificity, 94.55% sensitivity and 96.00% accuracy. Comparison with T. cruzi-infected humans and dogs suggests that the identified epitope is specific to Leishmania parasites, which minimizes the likelihood of cross-reactions.
Maximal strength and power characteristics in isometric and dynamic actions of the upper and lower extremities in middle-aged and older men

Muscle cross-sectional area of the quadriceps femoris (CSAQF), maximal isometric strength (handgrip test and unilateral knee extension/ ̄exion), the shape of isometric force±time curves, and power±load curves during concentric and stretch±shortening cycle (SSC) actions with loads ranging from 15 to 70% of one repetition maximum half-squat (1RMHS) and bench-press (1RMBP) were examined in 26 middle-aged men in the 40-year-old (M40) (mean age 42, range 35±46) and 21 elderly men in the 65-year-old age group (M65) (mean age 65, range 60±74). Maximal bilateral concentric (1RMHS and 1RMBP), unilateral knee extension (isometric; MIFKE and concentric; 1RMKE) strength and muscle CSA in M65 were lower (P < 0.001) than in M40. The individual values of the CSAQF correlated with the individual values of maximal concentric 1RMHS, 1RMKE and MIFKE in M65, while the corresponding correlations were lower in M40. The maximal MIFKE value per CSA of 4.54  0.7 N m cm in M40 was greater (P < 0.05±0.01) than that of 4.02  0.7 N m cm recorded in M65. The maximal rate of force development of the knee extensors and ̄exors in M65 was lower (P < 0.01±0.001) and the heights in squat and counter-movement jumps as much as 27±29% lower (P < 0.001) than those recorded in M40. M65 showed lower (P < 0.001) concentric power values for both upper and lower extremity performances than those recorded for M40. Maximal power output was maximized at the 30±45% loads for the upper extremity and at the 60±70% loads for the lower extremity extensors in both age groups. Muscle activation of the antagonists was signi®cantly higher (P < 0.01±0.001) during the isometric and dynamic knee extension actions in M65 than in M40. The present results support a general concept that parallel declines in muscle mass and maximal strength take place with increasing age, although loss of strength may vary in both lower and upper extremity muscles in relation to the type of action and that ageing may also lead to a decrease in voluntary neural drive to the muscles. Explosive strength and power seem to decrease with increasing age even more than maximal isometric strength in both actions but power was maximized at the 30±45% loads for the upper and at the 60±70% loads for the lower extremity action in both age groups. High antagonist muscle activity may limit the full movement ef®ciency depending on the type of muscle action, testing conditions and the velocity and/ or the time duration of the action, especially in the elderly.
Patterns of Support of Ethnic Violent Groups by Co-Ethnic Groups

Most studies examine how homeland policies influence the host state and what role the homeland plays for diaspora. In this paper, I will examine the reasons and conditions for why ethnic groups do or do not support violent ethnic groups. This study tests how external threats impact the level of support within the same ethnic groups. I will examine the causal relationship between external pressure and non-cooperation through a structured, comparative study of Kurdish ethnic groups. INDEX WORDS: Cooperation, Group cooperation, Ethnic war, Ethnic secessionist movements, Separatist movements, Kurds, Violent Kurdish groups, External threat, and External pressure PATTERNS OF SUPPORT OF ETHNIC VIOLENT GROUPS BY CO-ETHNIC GROUPS
Two-Stage Verification Based on Watermarking for Electronic Passport

This paper provides a novel two-stage verification scheme based on watermarking for electronic passport. The watermarking includes the multimodal biometric feature of the passport owner and the parity check codes of multimodal feature. The first part is taken as the template to do field certification which confirms whether the person is the true passport holder. The parity check codes verify the integrity of the passport. ORL face database and PolyU palm print database are selected as the experimental subjects. Experimental results show the availability and anslysis the impact of different embedding capacity for the multimodal biometric recognition.
Evolutionary Study on System Dynamics Model of Organizational Inertia in KIBS

This is the pilot study of adopting system dynamics model and method to demonstrate the organizational inertia of knowledge-intensive business services in perspective of dynamic evolution. This study aims to establish the causal feedback constructs and the corresponding dynamic models. It reveals that the motivation of enlarging the dimensions of organizational inertia from the structural inertia is that empirical practice demands the relevant modeling foundations. KIBS are regarded as the main study object in virtue of more uncertainties and complicatedly ever-changing environment in the modern society. The dynamic evolutionary processes of organizational inertia are highlighted by several causal feedback loops to illustrate that inertia is a two-edged sword that it is positive if change consistency and vice versa.
Automatic camera placement for robot vision tasks

Remote sensors such as CCD cameras can be used for a variety of robot sensing tasks, but given restrictions on camera location and imaging geometry, task constraints, and visual occlusion it can be difficult to find viewing positions from which the task can be completed. The complexity of these constraints suggests that automated, quantitative methods of sensor placement are likely to be useful, particularly when the workspace is cluttered and a mobile robot-mounted sensor is being used to increase the sensible region, circumvent occlusions, and so forth. We describe a camera placement planner designed to produce heuristically good static viewing positions for a robot-mounted CCD camera in an experimental workcell. It can be configured to produce viewpoints for a variety of tasks such as workpiece location, inspection and modelling; feedback control by visual servoing; and task progress monitoring. The planner uses a novel probability-based global search technique to optimize a viewpoint evaluation function that heuristically combines task, camera, robot and environmental constraints. The main advances over previous work are the incorporation of kinematic accessibility and collision constraints in the viewpoint evaluation and the introduction of a search technique powerful enough to handle the resulting strong nonlinearities.
Deep-pipelined FPGA implementation of ellipse estimation for eye tracking

This paper presents a deep-pipelined FPGA implementation of real-time ellipse estimation for eye tracking. The system is constructed by the Starburst algorithm on a stream-oriented architecture and the RANSAC algorithm without any external memories. In particular, the paper presents comparative results between three different hypothesis generators for the RANSAC algorithm based on Cramer's rule, Gauss-Jordan elimination and LU decomposition. Comparison criteria include resource usage, throughput and energy consumption. The result shows that the three implementations have different characteristics and the optimal algorithm needs to be chosen depending on the amount of resources on FPGAs and required performance.
CoRankBayes: bayesian learning to rank under the co-training framework and its application in keyphrase extraction

Recently, learning to rank algorithms have become a popular and effective tool for ordering objects (e.g. terms) according to their degrees of importance. The contribution of this paper is that we propose a simple and fast learning to rank model RankBayes and embed it in the co-training framework. The detailed proof is given that Naïve Bayes algorithm can be used to implement a learning to rank model. To solve the problem of two-model inconsistency, an ingenious approach is put forward to rank all the phrases by making use of the labeled results of two RankBayes models. Experimental results show that the proposed approach is promising in solving ranking problems.