Miracle-dz/UniFAR-FTUs huggingface dataset:
The Comprehensive Disposition Effect: Evidence from Real Estate Market

This study examines the existence and influence of the disposition effect, evaluates a priori argument and the evidence from the real estate market indicating the effect of investor sentiment on sale prices. Based upon a unique dataset providing the complete histories of actual transactions in the real estate market in Taiwan, we perform an in-depth investigation of whether the market participants can see through the bias; that is, whether homeowners exhibit a bias known as the disposition effect, the tendency to sell investment that are held for a profit at a faster rate then investments held for a loss. We find that the disposition effect is a common phenomenon independent of homeowner gender. Comparing different kinds of homeowners and transaction characteristics reveals that experienced homeowners and housing transactions in larger size exhibit significantly weaker disposition effect. However, these potential cognitive biases on the part of investors still cause housing sale prices to deviate from their fundamental values.
Description of a novel Janus kinase 3 P132A mutation in acute megakaryoblastic leukemia and demonstration of previously reported Janus kinase 3 mutations in normal subjects

Gain-of-function (GOF) mutations of Janus kinase 2 (JAK2) are frequently seen in myeloproliferative disorders (MPDs). Meanwhile, JAK3 activating substitutions have been found in a few megakaryocytic cell lines and in primary myeloid leukemia (AMKL). Here, we sought to discover novel leukemogenetic mutations in de novo acute myeloid leukemia of non-Down syndrome (N-DS) by DNA sequencing. A total of 191 normal Caucasian individuals were studied to define single nucleotide polymorphisms (SNPs) within the JH2 and JH6 domains. Although known activating substitutions were observed in rare cases of acute myeloid leukemia (AML) (V722I [2/134] or P132T [1/119]), all samples were wild-type (WT) for the oncogenic A572V (119/119). Interestingly, a novel homozygous mutation (P132A) was discovered in a patient with acute megakaryoblastic leukemia and in vivo studies demonstrated that its ectopic expression was oncogenic in a mouse xenotransplant model. This study defines a novel JAK3 mutation among patients with N-DS AML and demonstrates that normal individuals can also display germline JAK3 substitutions, previously proven to have oncogenic properties, in vitro and in vivo. The discovery of these substitutions in normal donors encourages future studies to define new risk factors among patients with MPDs.
Law and the Postmodern Mind: Essays on Psychoanalysis and Jurisprudence

David Gray Carlson and Peter Goodrich argue that the postmodern legal mind can be characterized as having shifted the focus of legal analysis away from the modernist understanding of law as a system that is unitary and separate from other aspects of culture and society. In exploring the various "other dimensions" of law, scholars have developed alternative species of legal analysis and recognized the existence of different forms of law. Carlson and Goodrich assert that the postmodern legal mind introduced a series of "minor jurisprudences" or partial forms of legal knowledge, which both compete with and subvert the modernist conception of a unitary system of law. In doing so scholars from a variety of disciplines pursue the implications of applying the insights of their disciplines to law. Carlson and Goodrich have assembled in this volume essays from some of our leading thinkers that address what is arguably one of the most fundamental of interdisciplinary encounters, that of psychoanalysis and law.While psychoanalytic interpretations of law are by no means a novelty within common law jurisprudence, the extent and possibilities of the terrain opened up by psychoanalysis have yet to be extensively addressed. The intentional subject and "reasonable man" of law are disassembled in psychoanalysis to reveal a chaotic and irrational libidinal subject, a sexual being, a body and its drives. The focus of the present collection of essays is upon desire as an inner law, upon love as an interior idiom of legality, and represents a signficant and at times surprising development of the psychoanalytic analysis of legality.These essays should appeal to scholars in law and in psychology.The contributors are Drucilla Cornell, Jacques Derrida, Peter Goodrich, Pierre Legendre, Alain Pottage, Michel Rosenfeld, Renata Salecl, Jeanne L. Schroeder, Anton Schutz, Henry Staten, and Slavoj Zizek.David Gray Carlson is Professor of Law, Benjamin Cardozo School of Law, Yeshiva University. Peter Goodrich is Professor of Law, University of London and University of California, Los Angeles.
Sentiment Analysis and Opinion Mining

Sentiment analysis and opinion mining is the field of study that analyses people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for
An Optimized Hybrid SVPWM Strategy Based on Multiple Division of Active Vector Time (MDAVT)

This paper presents a new advanced bus-clamped space vector pulsewidth modulation (SVPWM) technique to reduce line current harmonic distortion as well as switching loss. The proposed sequence introduces multiple division of active vector time (MDAVT) in a subcycle. An analysis of optimal subdivision of active vector dwell time is presented. Existing bus-clamping pulsewidth modulation techniques use double-switching clamping sequences, which use only one zero state and apply an active vector twice in a subcycle. The proposed MDAVT-based SVPWM technique presents a hybrid SVPWM technique. The additional switching is added when the fundamental voltage crosses zero. The switching patterns for the other two phases are not changed. The harmonic performance and switching loss characteristics of the proposed hybrid SVPWM techniques over the existing SVPWM is verified with experimental results on a 415-V, 2.2-kW induction motor drive.
Primary hydatid cyst of the posterior cervical triangle

Hydatid cysts in the cervical region are extremely rare. We report herein a case with a hydatid cyst that was primarily located in the posterior cervical triangle without any pulmonary or hepatic involvement. A hydatid cyst of the neck should be considered in the differential diagnosis of lesions in the cervical region, in endemic areas, so as to avoid any dangerous complications such as contamination and a fatal anaphylactic reaction.
Enhancing Quality of Education: A Case Study on an International Islamic
 School

Private secondary schools that want to gain competitive edge need to search for effective and creative ways to attract, retain and foster stronger relationships with students. The decision of selecting a school by the parents for their kids is based on a multitude of factors that differ from one society to another depending on its culture, economic status, religion and others. The objective of the present research is to identify and prioritize the factors that can enhance the quality of education in an international Islamic school located in Kuala Lumpur from the perspective of parents. The researchers employed both qualitative and quantitative approaches for data collection. The qualitative data were collected through interviewing 10 parents whose kids are currently enrolled in the school, while the quantitative data were collected through a questionnaire survey based on the Analytic Hierarchy Process (AHP). A thematic analysis and AHP were used for analysing the qualitative and quantitative data, respectively. Findings from the thematic analysis resulted in 19 factors; however, only 8 factors with higher frequency were selected to represent the factors expected to enhance the quality of education. The AHP analysis resulted in prioritizing these 8 factors according to parents' judgements. The results show that the Islamic environment represents the most desired factor, followed by quality of teachers and school discipline.
Homology modeling by the ICM method

Five models have been built by the ICM method for the Comparative Modeling section of the Meeting on the Critical Assessment of Techniques for Protein Structure Prediction. The targets have homologous proteins with known three‐dimensional structure with sequence identity ranging from 25 to 77%. After alignment of the target sequence with the related three‐dimensional structure, the modeling procedure consists of two subproblems: side‐chain prediction and loop prediction. The ICM method approaches these problems with the following steps: (1) a starting model is created based on the homologous structure with the conserved portion fixed and the noncon‐served portion having standard covalent geometry and free torsion angles; (2) the Biased Probability Monte Carlo (BPMC) procedure is applied to search the subspaces of either all the nonconservative side‐chain torsion angles or torsion angles in a loop backbone and surrounding side chains. A special algorithm was designed to generate low‐energy loop deformations. The BPMC procedure globally optimizes the energy function consisting of ECEPP/3 and solvation energy terms. Comparison of the predictions with the NMR or crystallographic solutions reveals a high proportion of correctly predicted side chains. The loops were not correctly predicted because imprinted distortions of the backbone increased the energy of the near‐native conformation and thus made the solution unrecognizable. Interestingly, the energy terms were found to be reliable and the sampling of conformational space sufficient. The implications of this finding for the strategies of future comparative modeling are discussed. © 1995 Wiley‐Liss, Inc.
Cross-Layer Design of Adaptive Multirate Wireless Networks Using Truncated HARQ

To provide heterogeneous quality-of-service (QoS) guarantees to applications, most wireless communications standards combine the error-correcting capability of hybrid automatic repeat request (HARQ) protocols at the data link control layer with the adaptation ability of adaptive modulation and coding (AMC) strategies at the physical layer. In this paper, a novel cross-layer multidimensional discrete-time Markov chain (DTMC)-based queuing model is developed to jointly exploit the capabilities of HARQ and AMC. The analytical DTMC-based model, which generalizes and extends previous results on this topic, stems from a comprehensive consideration of packet multimedia traffic sources modeled as discrete-batch Markovian arrival processes, finite queue-length systems, truncated HARQ protocols, AMC strategies, and a wireless channel first-order 2-D Markov model that relies on the amplitude and rate of change of the fading envelope. Based on the stationary state probability distribution of this multidimensional DTMC, closed-form analytical expressions for performance metrics such as throughput, average packet delay, and packet loss rate, which were caused either by buffer overflow or by exceeding the maximum number of allowed retransmissions, are derived. Furthermore, the proposed analytical framework is used to formulate multidimensional and simplified 2-D constrained optimization problems aiming at maximizing the system throughput under prescribed QoS constraints. Computer simulation results are carried out to verify the validity of the proposed analytical model and to quantify the performance gain due to cross-layer optimization and the use of truncated HARQ protocols.
Deep learning driven multimodal fusion for automated deception detection

Humans ability to detect lies is no more accurate than chance according to the American Psychological Association. The state-of-the-art deception detection methods, such as deception detection stem from early theories and polygraph have proven to be unreliable. Recent advancement in deception detection includes the application of advanced data analysis and machine learning algorithms. This paper presents a novel deep learning driven multimodal fusion for automated deception detection, incorporating audio cues for the first time along with the visual and textual cues. The critical analysis and comparison of the proposed deep convolutional neural network (CNN) based approach with the state-of-the-art multimodal fusion methods have revealed significant performance improvement up to 96% as compared to the 82% prediction accuracy reported in the recent literature.
Collaborative Filtering Similarity Measures: Revisiting

This paper discussed the most commonly used similarity measures in Collaborative Filtering (CF) recommender system. In addition, the author introduced some recommendations related to CF system quality improvement which should be considered in the process of formulating similarity measure that may lead to alleviating the issue of data sparsity and some existing measures shortcomings. Generally, CF approach is one of the most widely used and most successful methods for the recommendation system, such as e-commerce. CF system introduced items to the user based on his/her previous ratings and the ratings of his/her neighbors. Therefore, the most important stage in CF system is locating the successful neighbor. Nevertheless, the sparsity of data is the major issue faced by the memory-based CF. The reason behind this is that many of the users rated a few number of items from the huge number of available items. This has encouraged many researchers to provide solutions. One of these solutions was by proposing or updating similarities measures take in considerations the global information preference, all ratings provided by users, the size of common ratings, and so on. In this work, the researcher discussed these measures alongside with their limitations. In addition, the researcher also listed some advices that are important in the process of locating successful neighbors, which may help researchers to improve the quality of CF system.
Identification of the inverse dynamics of robot manipulators with the structured kernel

The inverse dynamics model of robots is often the key for accurate control. Especially in the computed torque control, the nonlinearity and the friction can be compensated, leading to better performance. The inverse models, however, is not trivial. The traditional Euler-Lagrange model based on the rigid body assumption often underfits in the presence of frictions and requires tedious derivations; the learning-based model needs larger training data set, since the structure of the dynamics is not considered. To overcome the aforementioned issues, we propose a structured kernel to replace the rigid body model and combine it with the universal radial basis kernel by direct sum. The proposed structured kernel asymptotically has the same convergence rate as the traditional model, and is general regardless of the configuration of the robot. Therefore, no analytic derivation is needed. Together with the universal radial basis kernel, the proposed approach enjoys the advantages of both the conventional and the learning-based models. To verify the proposed method, the simulations are used to investigate the performance in terms of the prediction errors.
Relationships between Microbial Community Structure and Hydrochemistry in a Landfill Leachate-Polluted Aquifer

ABSTRACT Knowledge about the relationship between microbial community structure and hydrogeochemistry (e.g., pollution, redox and degradation processes) in landfill leachate-polluted aquifers is required to develop tools for predicting and monitoring natural attenuation. In this study analyses of pollutant and redox chemistry were conducted in parallel with culture-independent profiling of microbial communities present in a well-defined aquifer (Banisveld, The Netherlands). Degradation of organic contaminants occurred under iron-reducing conditions in the plume of pollution, while upstream of the landfill and above the plume denitrification was the dominant redox process. Beneath the plume iron reduction occurred. Numerical comparison of 16S ribosomal DNA (rDNA)-based denaturing gradient gel electrophoresis (DGGE) profiles of Bacteria andArchaea in 29 groundwater samples revealed a clear difference between the microbial community structures inside and outside the contaminant plume. A similar relationship was not evident in sediment samples. DGGE data were supported by sequencing cloned 16S rDNA. Upstream of the landfill members of the β subclass of the class Proteobacteria(β-proteobacteria) dominated. This group was not encountered beneath the landfill, where gram-positive bacteria dominated. Further downstream the contribution of gram-positive bacteria to the clone library decreased, while the contribution of δ-proteobacteria strongly increased and β-proteobacteria reappeared. The β-proteobacteria (Acidovorax,Rhodoferax) differed considerably from those found upstream (Gallionella, Azoarcus). Direct comparisons of cloned 16S rDNA with bands in DGGE profiles revealed that the data from each analysis were comparable. A relationship was observed between the dominant redox processes and the bacteria identified. In the iron-reducing plume members of the familyGeobacteraceae made a strong contribution to the microbial communities. Because the only known aromatic hydrocarbon-degrading, iron-reducing bacteria areGeobacter spp. , their occurrence in landfill leachate-contaminated aquifers deserves more detailed consideration.
Affect From Mere Perception: Illusory Contour Perception Feels Good

Can affect be evoked by mere perception? Earlier work on processing fluency, which manipulated the dynamics of a running perceptual process, has shown that efficient processing can indeed trigger positive affect. The present work introduces a novel route by not manipulating the dynamics of an ongoing perceptual process, but by blocking or allowing the whole process in the first place. We used illusory contour perception as one very basic such process. In 5 experiments (total N = 422), participants briefly (⩽100 ms) viewed stimuli that either allowed illusory contour perception, so-called Kanizsa shapes, or proximally identical control shapes that did not allow for this process to occur. Self-reported preference ratings (Experiments 1, 2, and 4) and facial muscle activity (Experiment 3) showed that participants consistently preferred Kanizsa over these control shapes. Moreover, even within Kanizsa shapes, those that most likely instigated illusory contour perception (i.e., those with the highest support ratio) were liked the most (Experiment 5). At the same time, Kanizsa stimuli with high support ratios were objectively and subjectively the most complex, rendering a processing fluency explanation of this preference unlikely. These findings inform theorizing in perception about affective properties of early perceptual processes that are independent from perceptual fluency and research on affect about the importance of basic perception as a source of affectivity.
The Dutch Reformed Church, Mission Enthusiasts and Push and Pull of Empire

The various ways in which the British Empire acted as both a beacon and a repellent for Dutch Reformed Church (DRC) mission enthusiasts in the late 19th to early 20th centuries, are considered here. Focusing especially on Andrew Murray Jr, D.F. Malan and J.G. Strydom, but also with references to Johannes du Plessis and G.B.A. Gerdener, among others, the article illustrates the evolution of Afrikaner attitudes to Empire in this period. The Empire in question is primarily the British Empire, but this paper will make the case that the developing Afrikaner nationalism, in which some of these mission enthusiasts played leading roles, in some ways appropriated imperial aspirations, while simultaneously disavowing Empire in public discourse. The wider and more general relevance of this paper is that it sheds light on the allure of power, and how a minority in opposition to power might become contaminated, even captured, by that very power it seeks to oppose.
Isolation and Identification of the 3-Hydroxy-5-hydroxymethyl-pyridinium Compound as a Novel Advanced Glycation End Product on Glyceraldehyde-related Maillard Reaction

Glyceraldehyde (200 mM) and Nα-acetyllysine (100 mM) were incubated in 0.2 M sodium phosphate buffer (pH 7.4) at 37°C for a week. A major compound, glyceraldehyde-related Maillard reaction product, was purified from the reaction mixture using reverse phase (ODS)-HPLC. It was identified as 1-(5-acetylamino-5-carboxypentyl)-3-hydroxy-5-hydroxymethyl-pyridinium, named as GLAP (Glyceraldehyde derived Pyridinium compound), using NMR and MS analyses. It was suggested that GLAP as a novel advanced glycation end product (AGE) is one of the key compounds in the glyceraldehyde-related Maillard reaction.
Effects of methylphenidate on memory functions of adults with ADHD

ABSTRACT Neuropsychological research on adults with attention deficit hyperactivity disorder (ADHD) revealed considerable impairments in memory functions related to executive control. However, only limited evidence exists supporting the effects of pharmacological treatment using methylphenidate (MPH) on memory functions. The aim of the present study was, therefore, to explore the impact of MPH on various memory functions of adults with ADHD. Thirty-one adults with ADHD treated with MPH, 36 adults with ADHD not-treated with MPH, and 36 healthy individuals were assessed on several aspects of memory, including short-term memory, working memory, retrospective memory, prospective memory, and source memory. Multivariate statistical analyses were applied to compare memory functions between groups. Nonmedicated adults with ADHD showed considerable impairments in memory functions related to executive control. Adults with ADHD treated with MPH showed improved memory functions when compared to nonmedicated patients, but were still impaired when compared to healthy controls. The present study emphasized the severity of memory impairments of adults with ADHD. A pharmacological treatment with MPH appeared to improve memory, but does not normalize functioning. Additional treatment intervention (e.g., cognitive-behavioral therapy) is therefore necessary.