Miracle-dz/UniFAR-FTUs huggingface dataset:
Divided and united: perceptions of athlete activism at the ESPYS

Abstract The purpose of this study was to examine the framing and re-framing of activism efforts enacted by LeBron James, Dwayne Wade, Chris Paul, and Carmelo Anthony during the 2016 ESPYS through the theoretical lens of critical race theory. Specifically, comments made to three posts on ESPN’s Facebook page pertaining to these calls for activism were analyzed. Qualitative coding of 10,658 comments led to the discovery of four primary themes including (a) discussing race; (b) law enforcement accountability; (c) realities of violence; and (d) debating crime. While the athletes (i.e. the messengers) engaging in activism received attention via Facebook comments, users focused significant attention on the messages being disseminated. Ultimately, this social media discourse illuminated the complex nature of race relations in the United States today, highlighting the persistence of deeply ingrained cultural stereotypes and beliefs that are often left unshaken by athlete activism.
Fast evaluation of t-norms for fuzzy association rules mining

The aim of this paper is to present a bitwise approach on evaluation of fuzzy t-norms. T-norms are functions that generalize the notion of conjunction, and as such play an important role in fuzzy association rule mining process. Efficient algorithms for batch evaluation of the most common t-norms is proposed that minimizes computation time as well as memory space requirements at the cost of user-adjustable loss of precision of the membership degrees.
A Subpopulation of Neurons in the Medial Prefrontal Cortex Encodes Emotional Learning with Burst and Frequency Codes through a Dopamine D4 Receptor-Dependent Basolateral Amygdala Input

The basolateral nucleus of the amygdala (BLA) and medial prefrontal cortex (mPFC) are involved importantly in the processing and encoding of emotionally salient learned associations. Here, we examined the possible role of the mPFC in the acquisition and encoding of emotional associative learning at the behavioral and single-neuron level. A subpopulation of neurons in the mPFC that received monosynaptic and orthodromic inputs from the BLA demonstrated strong associative responding to odors paired previously with footshock by increasing spontaneous activity and bursting activity. This occurred specifically in response to postconditioning presentations of the footshock-paired odors but not to odors presented in the absence of footshock. In contrast, mPFC neurons that failed to respond to BLA stimulation showed no associative responding. Systemic or intra-mPFC blockade of dopamine (DA) D4 receptors prevented this emotional associative learning in neurons of the mPFC and blocked the expression of olfactory conditioned fear. These results demonstrate that individual neurons in the mPFC that receive a functional input from the BLA actively encode emotional learning and that this process depends on DA D4 receptor stimulation in the mPFC.
Homology modeling suggests a functional role for parallel amino acid substitutions between bee and butterfly red- and green-sensitive opsins.

Homology modeling is the process by which a protein sequence is threaded through the known atomic coordinates of a three-dimensional (3D) crystal structure, and the potential energy of the modeled molecule is minimized by adjusting the angle, orientation, and dis-tances between constituent amino acids. Tools that au-tomate this process are now available on the World Wide Web (Guex and Peitsch 1997), along with a database of empirically derived structural models (i.e., Protein Data Bank). These resources allow the theoretical modeling of many more structures than are currently available from experimental studies. Opsins are good candidate genes for homology modeling because of the availability of a high-resolution crystal structure of bovine rhodopsin (Palczewski et al. 2000) and the existence of phys-iological data for a number of naturally occurring spectral variants. Opsins are the protein component of the visual pigments and are members of the G protein–cou-pled receptor family, characterized by seven membrane-spanning alpha helices. The opsin protein is covalently attached to a light-sensitive chromophore, which in bovine rhodopsin is 11- cis -retinal and in bees and butterﬂies is either 11- cis -retinal or 11- cis -3-hydroxyretinal (Smith and Goldsmith 1990). The transmembrane domains of opsin form a binding pocket around the chromophore, and speciﬁc amino acids in the binding pocket modulate the absorption spectrum maximum that is most likely to trigger the chromophore’s isomerization and activation of the opsin protein. Vertebrate red- and green-sensitive
Landau's inequalities for tournament scores and a short proof of a theorem on transitive sub‐tournaments

Ao and Hanson, and Guiduli, Gyárfás, Thomassé and Weidl independently, proved the following result: For any tournament score sequence S = (s1, s2, … ,sn) with s1≤s2 ≤ … ≤ sn, there exists a tournament T on vertex set {1,2, …, n} such that the score of each vertex i is si and the sub‐tournaments of T on both the even and the odd indexed vertices are transitive in the given order; that is, i dominates j whenever i > j and i ≡ j (mod 2). In this note, we give a much shorter proof of the result. In the course of doing so, we show that the score sequence of a tournament satisfies a set of inequalities which are individually stronger than the well‐known set of inequalities of Landau, but collectively the two sets of inequalities are equivalent. © 2001 John Wiley & Sons, Inc. J Graph Theory 38: 244–254, 2001
Chelerythrine chloride induces apoptosis in renal cancer HEK-293 and SW-839 cell lines

Previous studies have demonstrated that the benzo[c]phenanthridine alkaloid chelerythrine chloride (CC) has inhibitory effects on various tumors. However, the anticancer activity of CC and its underlying mechanisms have not been elucidated in renal cancer cells. The present study examined the effects of CC on growth inhibition and apoptosis of renal cancer cells in vitro and in vivo. Flow cytometry and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assays revealed that CC markedly suppressed the growth of HEK-293 and human renal cancer SW-839 cells in a time- and dose-dependent manner. The xenograft mouse model, which was performed in nude mice, exhibited a reduced tumor growth following CC treatment. In addition, the present study revealed that CC significantly decreased the phosphorylation of extracellular signal-regulated kinase (ERK) and Akt, which was accompanied by upregulation of p53, B-cell lymphoma 2 (Bcl-2)-associated X protein, cleaved caspase-3 and cleaved poly (adenosine diphosphate-ribose) polymerase (PARP), and downregulation of Bcl-2, caspase-3 and PARP. Furthermore, the use of PD98059, a specific mitogen-activated protein kinase kinase inhibitor, potentiated the proapoptotic effects of CC, which indicated that CC may induce apoptosis in renal cancer cells partly via inhibition of ERK activity. Overall, the results of the present study demonstrated that CC may be developed as a potential anticancer treatment for patients with renal cancer.
Meta-Analyses in Survey Methodology: A Systematic Review

Effect size. In a meta-analysis, quantitative estimates of the results are presented in the form of effect sizes, which present the results of each primary study on a common scale to describe the size, direction, and variability of findings (Card 2012; Cumming 2013). The effect sizes can represent any relationship between two variables, such as the impact of a medical treatment on the risk of infection (Borenstein et al. 2009).
How common are the “common” neurologic disorders?

Objective: To estimate the current incidence and prevalence in the United States of 12 neurologic disorders. Methods: We summarize the strongest evidence available, using data from the United States or from other developed countries when US data were insufficient. Results: For some disorders, prevalence is a better descriptor of impact; for others, incidence is preferable. Per 1,000 children, estimated prevalence was 5.8 for autism spectrum disorder and 2.4 for cerebral palsy; for Tourette syndrome, the data were insufficient. In the general population, per 1,000, the 1-year prevalence for migraine was 121, 7.1 for epilepsy, and 0.9 for multiple sclerosis. Among the elderly, the prevalence of Alzheimer disease was 67 and that of Parkinson disease was 9.5. For diseases best described by annual incidence per 100,000, the rate for stroke was 183, 101 for major traumatic brain injury, 4.5 for spinal cord injury, and 1.6 for ALS. Conclusions: Using the best available data, our survey of a limited number of disorders shows that the burden of neurologic illness affects many millions of people in the United States.
Dynamic block coding for image filtration in medical applications

Image noise effects were observed in various real time applications. In different critical analysis such as astronomical data analysis, metrological data analysis, medical data analysis, information's at finer level representation are more important. Finer information's, are basically condensed in a compressed image. To visualize these finer information's, image zooming are done, where images in zoom level reflects a blurriness in the visualization. This paper develops a new approach to image filtration process using dynamic block coding for image denoising and information preservation. The suggested approach is evaluated over medical images to validate its performances.
A NOVEL IMAGE CLASSIFICATION USING ORTHOGONAL FEATURE DISTRIBUTION MATRIX

: - The task of image classification has been studied in many ways using variety of features like shape, color, geometric, robust and etc. but the classification process uses only the features contained in more volume in a region but missing the features distributed throughout the image. We propose a new approach for image classification, using orthogonal feature distribution matrix. The orthogonal feature distribution matrix represents set of feature points around different axes of the image spectrum where there is ineligible volume of feature presents. The proposed method splits the axes into sixteen and at each axes, feature points are identified and the features of those points are converted into orthogonal feature distribution matrix. The OFDM (Orthogonal Feature Distribution Matrix) simplifies the process of classification, where it could be executed with least processing time and avoids missing values. In earlier approaches there are situations where the algorithm misses sheared features on classification, where as in our approach the features which gets sheared also will be obtained to produce more efficient classification. The proposed method has produced efficient classification both on time and space complexity with higher rate of classification accuracy.
A Mandarin e-Learning System Based on Web 2.0 and Speech Communication

Since 2005, the term Web 2.0 has gradually become a hot topic on the Internet. Users' participation is the core of Web 2.0. Open, shared, communication and growing-up together, as its primary characteristics, has been an inspiration to everyone. Contemporarily, the enthusiasm for Mandarin learning has been warming up for a long time. Aiming at continuously developing language, modern factors should constantly merge into the indigenous language. The fact means that it is considerably insufficient to only rely on webmasters or web coders to refreshing the learning materials. Web 2.0 can compensate for this pressing problem perfectly. All of learners, viewers, professors, who log in our website, without any restrictions on time and places, can express their perspective about how to advance Mandarin learning freely on the web pages. We justifiably believe Mandarin learning by integrating Web 2.0 and real-time pronunciation evaluation can become more and more effective and abstractive.
Unsupervised word sense disambiguation and rules extraction using non-aligned bilingual corpus

This paper presents a statistical word sense disambiguation with application in Portuguese-Chinese machine translation systems. Due to the limited availability of Portuguese-Chinese resources in the form of digital corpora and annotated Treebank, an unsupervised learning and a non-aligned bilingual corpus are applied. The proposed method first identifies words related to each of the ambiguous words based on their surrounding words and relative distance. A mathematical model is then applied in the identification of the most suitable sense of an ambiguous word in terms of the related words. All the senses discovered are converted into a set of rules and stored in the sense knowledge base for later use in disambiguation and translation process. Preliminary experiment results show an improvement of 6% in assigning correctly the corresponding translation over the baseline method.
Is neighborhood safety associated with depression symptoms, anxiety symptoms, and psychological distress among gay, bisexual, and other men who have sex with men?

ABSTRACT The purpose of this study was to examine associations between perceived neighborhood safety and mental health burdens among gay, bisexual, and other men who have sex with men (MSM) in Paris, France. Participants were recruited through a geosocial networking application (n = 580) and completed a web-based cross-sectional survey. Modified Poisson models were used to estimate risk ratios and 95% confidence intervals for the associations between perceived neighborhood safety and depression symptoms, anxiety symptoms, and psychological distress. Perceived lack of neighborhood safety was associated with depression symptoms, anxiety symptoms, and psychological distress in our sample of MSM.
Parabola-based face recognition and tracking

Several applications such as access control, behaviour observation and videoconferencing require a real-time method for face recognition and tracking. We propose to represent faces with parabola segments with an algorithm that allows us to fit parabola segments real-time to edge pixels. Parabola offer a good description for the many edges in the object, which is advantageous for several applications. We use parabola segments for face recognition and tracking, which is done with the parabola distance function, that matches parabola segments based on distance and intensity. We propose a global matching cost for face recognition and a technique to estimate motion vectors for face tracking by statistical analysis of the parabola distance function.
Intraorbital Solitary Fibrous Tumor Requiring Preoperative Embolization of Feeding Artery

Solitary fibrous tumors (SFTs) are derived from mesenchymal cells and commonly develop in thoracoabdominal organs; however, their occurrence in orbit is rare. The first-choice treatment is to surgically remove as much of the SFT as possible; however, if total removal is not achieved, the recurrence rate is high, resulting in poor prognosis. A 42-year-old man presented with painless right-sided proptosis and diplopia 4 years ago. Orbital computed tomography revealed a right extraconal mass medial to the optic nerve, measuring 25 mm. Magnetic resonance imaging demonstrated iso-signal intensity on T1- and T2-weighted imaging, including flow-void signals. During biopsy of the intraorbital mass, which was performed by ophthalmologists 3 years earlier, difficulty with hemostasis occurred due to massive hemorrhage from the mass. The mass grew to reach a maximal diameter of 33 mm, resulting in referral to the authors' department. Diagnostic cerebral angiography revealed a hypervascular orbital tumor with multiple feeding arteries. To control intraoperative bleeding, the patient underwent preoperative endovascular embolization. Subsequently, the tumor was completely removed using a combination of microsurgical craniotomy and endoscopic endonasal approach, without the occurrence of massive intraoperative hemorrhage from the tumor. Postoperatively, his clinical course was uneventful except for the remaining preoperative diplopia. The tumor was diagnosed histologically as SFT and has not recurred for 8 months since surgery. Preoperative intravascular embolization of branches of the ophthalmic artery can be performed safely, resulting in excellent control of intraoperative bleeding and facilitating complete removal of SFT without additional complications.
Smart home automation system for intrusion detection

In the area of home security and protection, vision-based home automation systems (HAS) play a significant role. In this paper, we present the design and implementation of a smart HAS with incorporated intrusion detection to minimize damages caused by burglary. In addition, the proposed HAS integrates a web server to home appliances in order to remotely access and control their status. Intrusion detection, on the other hand, uses Histogram of Oriented Gradients (HOG) feature descriptors and a Support Vector Machine (SVM) classifier for accurate human detection by smartly rejecting false alarms arising from pets. This system comprised of a simple architecture and requires no human intervention. It allows for prompt accessibility, efficient usage of electricity and provides user convenience.
Overhaul of ieee 802.11 modeling and simulation in ns-2

NS-2, with its IEEE 802.11 support, is a widely utilized simulation tool for wireless communications researchers. However, the current NS-2 distribution code has some significant shortcomings both in the overall architecture and the modeling details of the IEEE 802.11 MAC and PHY modules. This paper presents a completely revised architecture and design for these two modules. The resulting PHY is a full featured generic module able to support any single channel frame-based communications (i.e. it is also able to support non-IEEE 802.11 based MAC). The key features include cumulative SINR computation, preamble and PLCP header processing and capture, and frame body capture. The MAC accurately models the basic IEEE 802.11 CSMA/CA mechanism, as required for credible simulation studies. The newly designed MAC models transmission and reception coordination, backoff management and channel state monitoring in a structured and modular manner. In turn, the contributions of this paper make extending the MAC for protocol researches much easier and provide for a significantly higher level of simulation accuracy.
Model for memory-based music transcription and its Variational Bayes solution

The problem of memory based music transcription is considered and a probabilistic model for polyphonic music is proposed. Parameters of the model correspond to labels of the pre-recorded sounds and their amplitudes. Since exact estimation of the parameters is computationally prohibitive, we develop an approximate estimation algorithm using the Variational Bayes approximation. Results of the proposed algorithm are compared to alternative algorithms on piano recordings.
The SLOVAK NATIONAL CORpuS AND ITS CORpuS LINGuISTIC ReSOuRCeS

The history of the Slovak lexical database and corpus is only 20 years old. There were theoretical works on the integral concept of the future corpus of the Slovak language and lexical database (namely by J. horecký, A. Jarošová), a theoretical computer model of the Slovak language (e. páleš, 1994), and the main work was a practical collection of texts in electronic form and their first linguistic analyses. This corpus of texts of the Slovak language was gradually made available from 1996 up to 2002 for internal use within the Ľ. Štúr Linguistic Institute of the Slovak Academy of Sciences. In its final phase, the 30-million-word corpus included mainly journalistic texts, various texts from professional proceedings and journals, and a small quantity of fiction. A specific part of the corpus consisted of electronic versions of the lexicographic productions of the Ľ. Štúr Institute of Linguistics of the Slovak Academy of Sciences. The first corpus / lexical database of the Slovak language was built solely for the purpose of creating a new dictionary of the Slovak language. Moreover, user demand for publicly accessible linguistic information began to increase throughout the late 1990s. The lexicographers required an increase
A General Test of Gaming Pascal Courty and

An important lesson from the incentive literature is that explicit incentives may elicit dysfunctional and unintended responses, also known as gaming responses. The existence of these responses, however, is difficult to demonstrate in practice because this behavior is typically hidden from the researcher. We present a simple model showing that one can identify gaming by estimating the correlation between a performance measure and the true goal of the organization before and after the measure has been activated. Our hypothesis is that gaming takes place if this correlation decreases with activation. Using data from a public sector organization, we find evidence consistent with our hypothesis. We draw implications for the selection of performance measures.
Age at menarche as a fitness trait: nonadditive genetic variance detected in a large twin sample.

The etiological role of genotype and environment in recalled age at menarche was examined using an unselected sample of 1,177 MZ and 711 DZ twin pairs aged 18 years and older. The correlation for onset of menarche between MZ twins was . 65 +/- . 03, and that for DZ pairs was . 18 +/- . 04, although these differed somewhat between four birth cohorts. Environmental factors were more important in the older cohorts (perhaps because of less reliable recall). Total genotypic variance (additive plus nonadditive) ranged from 61% in the oldest cohort to 68% in the youngest cohort. In the oldest birth cohort (born before 1939), there was evidence of greater influence of environmental factors on age at menarche in the second-born twin, although there was no other evidence in the data that birth trauma affected timing. The greater part of the genetic variance was nonadditive (dominance or epistasis), and this is typical of a fitness trait. It appears that genetic nonadditivity is in the decreasing direction, and this is consistent with selection for early menarche during human evolution. Breakdown of inbreeding depression as a possible explanation for the secular decline in age at menarche is discussed.
Acute Elevation of Plasma PLTP Activity Strongly Increases Pre-existing Atherosclerosis

Objective—A transgenic mouse model was generated that allows conditional expression of human PLTP, based on the tetracycline-responsive gene system, to study the effects of an acute increase in plasma PLTP activity as may occur in inflammation. Methods and Results—The effects of an acute elevation of plasma PLTP activity on the metabolism of apolipoprotein B–containing lipoproteins and on diet-induced pre-existing atherosclerosis were determined in mice displaying a humanized lipoprotein profile (low-density lipoprotein receptor knockout background). Induced expression of PLTP strongly increases plasma VLDL levels in LDL receptor knockout mice, whereas VLDL secretion is not affected. The elevation in plasma triglyceride levels is explained by a PLTP-dependent inhibition of VLDL catabolism, which is caused, at least partly, by a decreased lipoprotein lipase activity. Together with the decreased plasma HDL levels, the acutely increased PLTP expression results in a highly atherogenic lipoprotein profile. Induction of PLTP expression leads to a further increase in size of pre-existing atherosclerotic lesions, even on a chow diet. In addition, the lesions contain more macrophages and less collagen relative to controls, suggesting a less stable lesion phenotype. Conclusion—In conclusion, acute elevation of PLTP activity destabilizes atherosclerotic lesions and aggravates pre-existing atherosclerosis.