Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Hepatitis B Virus Intrahepatic Covalently Closed Circular DNA and Serum Viral Markers in Treatment-Naive Patients with Acute and Chronic HBV Infection

Background This study aimed to investigate the relationships of intrahepatic cccDNA with serum HBsAg and with HBV DNA in treatment-naive patients throughout acute and chronic HBV infection. Methods A total of 120 patients who had a liver biopsy were enrolled, including 19 with acute hepatitis B (AHB), and 101 patients with chronic HBV infection (CHB) of whom were 10 in immune-tolerant (IT) phase, 59 in immune-clearance (IC) phase, 8 in low-replicative (LR) phase, and 24 in HBeAg-negative hepatitis (ENH) phase. Intrahepatic cccDNA, serum HBsAg and serum HBV DNA levels were comparatively analyzed. Results The median intrahepatic cccDNA levels were 0.18 4.80, 3.81, 0.22 and 0.97 copies/cell for patients with AHB, CHB-IT, CHB-IC, CHB-LR, and CHB-ENH, respectively. In AHB patients, intrahepatic cccDNA was positively correlated with serum HBsAg (r = 0.665, P = 0.003), as well as serum HBV DNA (r = 0.536, P = 0.022). In CHB patients, intrahepatic cccDNA was positively correlated with serum HBsAg in the IC phase (r = 0.392, P = 0.005), and with serum HBV DNA in the IC phase (r = 0.301, P = 0.036) and ENH phase (r = 0.588, P = 0.013). HBV replicative efficiency, defined as the ratio of serum HBV DNA to intrahepatic cccDNA, was obviously lower in AHB and CHB-LR patients than in CHB-IT, CHB-IC and CHB-ENH patients (0.70 and 0.53 vs. 1.12, 1.09 and 0.99, P<0.001, values were logarithmic transformed for analysis). In CHB-IC patients, HBV replicative efficiency was positively correlated with histological activity index of liver inflammation (r = 0.308, P = 0.009). Conclusion Serum HBsAg and HBV DNA levels may reflect the amount of active intrahepatic cccDNA in treatment-naive AHB and CHB-IC patients. Reduced intrahepatic cccDNA and HBV replicative efficiency may imply effective immune control of HBV infection.
Academic Cyberloafing: A Study of Perceptual and Behavioral Differences on In-Class Cyberloafing Among Undergraduate Students

Reid M. Knight, ACADEMIC CYBERLOAFING: A STUDY OF PERCEPTUAL AND BEHAVIORAL DIFFERENCES ON IN-CLASS CYBERLOAFING AMONG UNDERGRADUATE STUDENTS (Under the direction of Dr. John Cope) Department of Psychology, April 2017 The purpose of this study was to observe if any significant correlations exist between demographic characteristics and cyberloafing attitudes, as well as cyberloafing behaviors among undergraduate students. No significant correlations were found in regards to age. Significant results were found in regards to gender (women cyberloafed significantly more than men), as well as perceptions of societal norms (the more students perceived cyberloafing as a societal norm, the more likely they were to view cyberloafing as acceptable). Theoretical implications of these results are discussed. ACADEMIC CYBERLOAFING: A STUDY OF PERCEPTUAL AND BEHAVIORAL DIFFERENCES ON IN-CLASS CYBERLOAFING AMONG UNDERGRADUATE
Birefringence measurement of cornea and anterior segment by office-based polarization-sensitive optical coherence tomography

We present a case series of cornea and anterior segment disorders investigated by an office-based polarization-sensitive optical coherence tomography (PS-OCT). Blebs of glaucoma patients treated by trabeculectomy, and corneas of keratoconus and keratoplasty patients were measured by PS-OCT. Birefringence formations in trabeculectomy bleb were measured in 1 control eye and 3 eyes of trabeculectomy model rabbits. Polarization insensitive scattering OCT and the depth-resolved birefringence were measured simultaneously by PS-OCT. Abnormal birefringence was observed in keratoconus cases with advanced thinning and with a rupture of Descemet’s membrane. The graft-host interface of the keratoplasty case showed abnormal birefringence. The appearance of abnormal birefringence in the cornea was likely to be an indication of cross-linking of collagen fibrils. The measurement of rabbit showed abnormal birefringence in the scarring eyes. Wide regions of strong birefringence were observed in the eyes of trabeculectomy patients who had high intraocular pressure. Visualization of scarring in bleb by PS-OCT may be useful for the planning of secondary surgery. PS-OCT showed promising for the study and diagnosis diseases related to abnormal fibrous tissues of the cornea and anterior eye segment.
An improved method of image retrieval with relevance feedback using random walks

Despite the efforts to reduce the so-called semantic gap between the user's perception of image similarity and the feature-based representation of images, the interaction with the user remains fundamental to improve performances of content-based image retrieval (CBIR) systems. It is fact that the effectiveness of a CBIR system strongly depends on the set of visual features and the `metric' used to model the user's perception of image similarity. Random walks for CBIR with relevance feedback (RF) introduced by Samuel Rota Bulo[1] is a relatively complete retrieval system. However, it does not take into account the importance of each dimension characteristic and image spatial relations when using the random walk. In this paper, the problem is solved by two strategies: firstly, feature weighting using Laplacian Score, which is one of the classical approaches to implement RF, and secondly, K-NN connecting to Random walk, which uses the K-NN of relative and non-relevant images during RF to improve the efficiency of random walk. The performances of the proposed method have been compared with different recent relevance feedback mechanisms. Reported results have shown the superiority of the proposed method.
Novel Nitrobenzazolo[3,2-a]quinolinium Salts Induce Cell Death through a Mechanism Involving DNA Damage, Cell Cycle Changes, and Mitochondrial Permeabilization

This study reports the capacity of three nitro substituted benzazolo[3,2-a]quinolinium salts NBQs: NBQ 95 (NSC-763304), NBQ 38 (NSC 763305), and NBQ 97 (NSC-763306) as potential antitumor agents. NBQ’s are unnatural alkaloids possessing a positive charge that could facilitate interaction with cell organelles. The anticancer activities of these compounds were evaluated through the National Cancer Institute (NCI) 60 cell line screening which represents diverse histologies. The screening was performed at 10 µM on all cell lines. Results from the NCI screening indicated cytotoxicity activity on six cell lines. In order to explore a possible mechanism of action, a detailed biological activity study of NBQ 95 and NBQ 38 was performed on A431 human epidermoid carcinoma cells to determine an apoptotic pathway involving, cell cycle changes, DNA fragmentation, mutations, mitochondrial membrane permeabilization and caspases activation. DNA fragmentation, cell cycle effects, mutagenesis, mitochondrial permeabilization and activation of caspases were determined by fluorimetry and differential imaging. Our data showed that A431 growth was inhibited with an average IC50 of 30 µM. In terms of the mechanism, these compounds interacted with DNA causing fragmentation and cell cycle arrest at sub G0/G1 stage. Mutagenesis was higher for NBQ 38 and moderate for NBQ 95 Mitochon-drial permeabilization was observed with NBQ 38 and slightly for NBQ 95. Both compounds caused activation of Caspases 3 and 7 suggesting an apoptotic cell death pathway through an intrinsic mechanism. This study reports evidence of the toxicity of these novel compounds with overlapping structural and mechanistic similarities to ellipticine, a known anti-tumor compound.
Economic and Demographic Change: A Synthesis of Models, Findings, and Perspectives

Building upon recent Barro models that account for the impacts of various economic and political factors conditioning the pace of economic growth, we evaluate the merits of alternative specifications that expose the impacts of demographic change. For a sample of 89 countries, we arrive at the qualified judgment that rapid population growth exerted a fairly strong, adverse impact, on the pace of economic growth over the period 1960-1995. The positive impacts of density, size, and labor force entry were swamped by the costs of rearing children and maintaining an enlarged youth-dependency age structure.
Phonological working memory and language development: What are the measures and what do they measure?

In line with the recent trend in comparative analysis of different populations (see Friedmann & Rusou, 2015, as an example), Pierce, Genesee, Delcenserie, and Morgan (2017) present a comprehensive review of different language outcomes in populations that have received qualitatively and quantitatively different input during the first year of life, from enriched stimuli in bilingual situations to no stimuli at all in the case of children with profound hearing impairment. The claims derived from these data deserve some comment, however, and need some caveats about the measures used, which I will provide in the following with a brief discussion of complementing research and the presentation of some new data derived from the Bilingual Language Development (BiLaD) Project, a recent French/German collaboration studying bilingual populations with and without specific language impairment (SLI).
Phase-Locked Loop with Leakage and Power / Ground Noise Compensation in 32 nm Technology

This paper presents two novel compensation circuits for leakage current and power supply noise (PSN) in phase locked loop (PLL) using a nanometer CMOS technology. The leakage compensation circuit reduces the leakage current of the charge pump circuit and the PSN compensation circuit decreases the effect of power supply variation on the output frequency of VCO. The PLL design is based on a 32nm predictive CMOS technology and uses a 0.9 V power supply voltage. The simulation results show that the proposed PLL achieves 88% jitter reduction at 440 MHz output frequency compared to the PLL without leakage compensator and its output frequency drift is little to 20% power supply voltage variations. The PLL has an output frequency range of 40 M~725 MHz with a multipli-cation range of 11023, and the RMS and peak-to-peak jitter are 5psec and 42.7 psec, respectively.
Syntactic Matching of Trajectories for Ambient Intelligence Applications

In this paper we propose a novel approach for syntactic description and matching of object trajectories in digital video, suitable for classification and recognition purposes. Trajectories are first segmented by detecting the meaningful discontinuities in time and space, and are successively expressed through an ad-hoc syntax. A suitable metric is then proposed, which allows determining the similarity among trajectories, based on the so-called inexact or approximate matching. The metric mimics the algorithms used in bio-informatics to match DNA sequences, and returns a score, which allows identifying the analogies among different trajectories on both global and local basis. The tool can therefore be adopted for the analysis, classification, and learning of motion patterns, in activity detection or behavioral understanding.
Fisher vectors with cascaded normalization for paralinguistic analysis

Computational Paralinguistics has several unresolved issues, one of which is coping with large variability due to speakers, spoken content and corpora. In this paper, we address the variability compensation issue by proposing a novel method composed of i) Fisher vector encoding of low level descriptors extracted from the signal, ii) speaker z-normalization applied after speaker clustering iii) non-linear normalization of features and iv) classification based on Kernel Extreme Learning Machines and Partial Least Squares regression. For experimental validation, we apply the proposed method on INTERSPEECH 2015 Computational Paralinguistics Challenge (ComParE 2015), Eating Condition sub-challenge, which is a seven-class classification task. In our preliminary experiments, the proposed method achieves an Unweighted Average Recall (UAR) score of 83.1%, outperforming the challenge test set baseline UAR (65.9%) by a large margin.
Rhythmic complexity and predictive coding: a novel approach to modeling rhythm and meter perception in music

Musical rhythm, consisting of apparently abstract intervals of accented temporal events, has a remarkable capacity to move our minds and bodies. How does the cognitive system enable our experiences of rhythmically complex music? In this paper, we describe some common forms of rhythmic complexity in music and propose the theory of predictive coding (PC) as a framework for understanding how rhythm and rhythmic complexity are processed in the brain. We also consider why we feel so compelled by rhythmic tension in music. First, we consider theories of rhythm and meter perception, which provide hierarchical and computational approaches to modeling. Second, we present the theory of PC, which posits a hierarchical organization of brain responses reflecting fundamental, survival-related mechanisms associated with predicting future events. According to this theory, perception and learning is manifested through the brain’s Bayesian minimization of the error between the input to the brain and the brain’s prior expectations. Third, we develop a PC model of musical rhythm, in which rhythm perception is conceptualized as an interaction between what is heard (“rhythm”) and the brain’s anticipatory structuring of music (“meter”). Finally, we review empirical studies of the neural and behavioral effects of syncopation, polyrhythm and groove, and propose how these studies can be seen as special cases of the PC theory. We argue that musical rhythm exploits the brain’s general principles of prediction and propose that pleasure and desire for sensorimotor synchronization from musical rhythm may be a result of such mechanisms.
COOL: An object-based language for parallel programming

Effectively using shared-memory multiprocessors requires substantial programming effort. We present the programming language COOL (Concurrent Object-Oriented Language), which was designed to exploit coarse-grained parallelism at the task level in shared-memory multiprocessors. COOL's primary design goals are efficiency and expressiveness. By efficiency we mean that the language constructs should be efficient to implement and a program should not have to pay for features it does not use. By expressiveness, we imply that the program should flexibly support different concurrency patterns, thereby allowing various decompositions of a problem. COOL emphasizes the integration of concurrency and synchronization with data abstraction to ease the task of creating modular and efficient parallel programs. It is an extension of C++, which was chosen because it supports abstract data type definitions and is widely used. <<ETX>>
Robotic voltammetry with carbon nanotube-based sensors: a superb blend for convenient high-quality antimicrobial trace analysis

A new automated pharmacoanalytical technique for convenient quantification of redox-active antibiotics has been established by combining the benefits of a carbon nanotube (CNT) sensor modification with electrocatalytic activity for analyte detection with the merits of a robotic electrochemical device that is capable of sequential nonmanual sample measurements in 24-well microtiter plates. Norfloxacin (NFX) and ciprofloxacin (CFX), two standard fluoroquinolone antibiotics, were used in automated calibration measurements by differential pulse voltammetry (DPV) and accomplished were linear ranges of 1–10 μM and 2–100 μM for NFX and CFX, respectively. The lowest detectable levels were estimated to be 0.3±0.1 μM (n=7) for NFX and 1.6±0.1 μM (n=7) for CFX. In standard solutions or tablet samples of known content, both analytes could be quantified with the robotic DPV microtiter plate assay, with recoveries within ±4% of 100%. And recoveries were as good when NFX was evaluated in human serum samples with added NFX. The use of simple instrumentation, convenience in execution, and high effectiveness in analyte quantitation suggest the merger between automated microtiter plate voltammetry and CNT-supported electrochemical drug detection as a novel methodology for antibiotic testing in pharmaceutical and clinical research and quality control laboratories.
Evidence for the Distinctness of Embarrassment, Shame, and Guilt: A Study of Recalled Antecedents and Facial Expressions of Emotion

Following proposals regarding the criteria for differentiating emotions, the current investigation examined whether the antecedents and facial expressions of embarrassment, shame, and guilt are distinct. In Study 1, participants wrote down events that had caused them to feel embarrassment, shame, and guilt. Coding of these events revealed that embarrassment was associated with transgressions of conventions that govern public interactions, shame with the failure to meet important personal standards, and guilt with actions that harm others or violate duties. Study 2 determined whether these three emotions are distinct in another domain of emotion-namely, facial expression. Observers were presented with slides of 14 different facial expressions, including those of embarrassment, shame, and candidates of guilt (self-contempt, sympathy, and pain). Observers accurately identified the expressions of embarrassment and shame, but did not reliably label any expression as guilt.
ConceptDoppler: a weather tracker for internet censorship

The text of this paper has passed across many Internet routers on its way to the reader, but some routers will not pass it along unfettered because of censored words it contains. We present two sets of results: 1) Internet measurements of keyword filtering by the Great “Firewall” of China (GFC); and 2) initial results of using latent semantic analysis as an efficient way to reproduce a blacklist of censored words via probing. Our Internet measurements suggest that the GFC’s keyword filtering is more a panopticon than a firewall, i.e., it need not block every illicit word, but only enough to promote self-censorship. China’s largest ISP, ChinaNET, performed 83.3% of all filtering of our probes, and 99.1% of all filtering that occurred at the first hop past the Chinese border. Filtering occurred beyond the third hop for 11.8% of our probes, and there were sometimes as many as 13 hops past the border to a filtering router. Approximately 28.3% of the Chinese hosts we sent probes to were reachable along paths that were not filtered at all. While more tests are needed to provide a definitive picture of the GFC’s implementation, our results disprove the notion that GFC keyword filtering is a firewall strictly at the border of China’s Internet. While evading a firewall a single time defeats its purpose, it would be necessary to evade a panopticon almost every time. Thus, in lieu of evasion, we propose ConceptDoppler, an architecture for maintaining a censorship “weather report” about what keywords are filtered over time. Probing with potentially filtered keywords is arduous due to the GFC’s complexity and can be invasive if not done efficiently. Just as an understanding of the mixing of gases preceded effective weather reporting, understanding of the relationship between keywords and concepts is essential for tracking Internet censorship. We show that LSA can effectively pare down a corpus of text and cluster filtered keywords for efficient probing, present 122 keywords we discovered by probing, and underscore the need for tracking and studying censorship blacklists by discovering some surprising blacklisted keywords such as l�‡ (conversion rate), �„K— (Mein Kampf), and ýE0(NfT�� (International geological scientific federation (Beijing)).
Neurobiology 230. Visual Object Recognition Lecture 1: Introduction to Visual Recognition

BEWARE: These are only highly preliminary notes. In the future, they will become part of a textbook on " Visual Object Recognition ". In the meantime, please interpret with caution. Feedback is welcome at Why is vision difficult? Visual object recognition is essential for most everyday tasks. It is therefore not much of a strain to conceive that the expansion of visual cortex has played a significant role in the evolution of mammals and primates in particular. The evolution of enhanced algorithms for recognizing patterns based on visual input is likely to have yielded a significant increase in adaptive value through improvement in navigation, recognition of danger and food as well as social interactions. In contrast to tactile and to some extent even auditory inputs, visual signals provide information from far away and larger areas. While olfactory signals can also propagate long distances, the speed of propagation is significantly lower. The primate visual system excels at recognizing patterns. Even when those patterns change from one instantiation to another. Consider the simple line schems in Figure 1.1. It straightforward to recognize those handwritten symbols in spite of the fact that at the pixel level, they show considerable variation within each row. These drawings have only a few traces. The problem is far more complicated with real scenes and objects. Imagine the enormous variation that the visual system has be able to cope with to recognize a tiger camouflaged in the dense jungle.
Does body mass index (BMI) influence the Ankylosing Spondylitis Disease Activity Score in axial spondyloarthritis?

Objective Obesity is associated with elevated C reactive protein (CRP) levels. The Ankylosing Spondylitis Disease Activity Score (ASDAS) combines patient-reported outcomes (PROs) and CRP. We evaluated the effect of body mass index (BMI) on CRP and on ASDAS, and studied if ASDAS can be used in obese axial spondyloarthritis (axSpA) patients to assess disease activity. Methods Baseline data of patients with chronic back pain of short duration included in the SPondyloArthritis Caught Early (SPACE) cohort were used. Collected data included BMI and ASDAS. Patients were classified according to the ASAS axSpA classification criteria and BMI (overweight ≥25 and obese ≥30). Correlation and linear regression analyses were performed to assess the relation between BMI and ASDAS. Linear regression models were performed to assess if age or gender were effect modifiers in the relation between BMI and CRP, and between BMI and ASDAS. Results In total, 428 patients were analysed (n=168 axSpA; n=260 no-axSpA). The mean age was 31.1 years, 36.9% were male, 26.4% were overweight and 13.3% obese, median CRP was 3 mg/L and the mean ASDAS was 2.6. Gender was the only factor modifying the relationship between BMI and CRP as BMI had an influence on CRP only in females (β=0.35; p<0.001). Correlations between BMI and CRP or PROs were generally weak, and only significant for CRP in female patients. BMI was not related to ASDAS in axSpA patients. Conclusions ASDAS is not affected by BMI in axSpA patients. Therefore, based on our data it is not necessary to take BMI in consideration when assessing disease activity using ASDAS in axSpA patients.
Tipping and the Dynamics of Segregation

In a classic paper, Schelling (1971) showed that extreme segregation can arise from social interactions in white preferences: once the minority share in a neighborhood exceeds a critical "tipping point," all the whites leave. We use regression discontinuity methods and Census tract data from 1970 through 2000 to test for discontinuities in the dynamics of neighborhood racial composition. White population flows exhibit tipping-like behavior in most cities, with a distribution of tipping points ranging from 5% to 20% minority share. The estimated discontinuities are robust to controls for a wide variety of neighborhood characteristics, and are as strong in the suburbs as in tracts close to high-minority neighborhoods, ruling out the main alternative explanations for apparent tipping behavior. In contrast to white population flows, there is no systematic evidence that rents or housing prices exhibit non-linearities around the tipping point. Finally, we relate the location of the estimated tipping points in different cities to measures of the racial attitudes of whites, and find that cities with more tolerant whites have higher tipping points.