Miracle-dz/UniFAR-FTUs huggingface dataset:
Paraoxonase as a Risk Marker for Cardiovascular Disease: Facts and Hypotheses

Abstract Paraoxonase (PON1) is a Ca2+-dependent enzyme whose mechanism of action is incompletely elucidated. PON1 was originally found to be responsible for the hydrolysis of paraoxon, a catabolite of the insecticide parathion, but this enzyme is equally able to hydrolyze other substrates such as phenyl acetate. PON1 exhibits two sequence polymorphisms, Arg →Gln 192 and Met →Leu 55, respectively, of which the former is responsible for the distinct catalytic activity of the two corresponding allozymes against paraoxon. The PON1 gene is a member of a family of at least three related genes. Although the physiologic substrate of PON1 is unknown, a protective role against the oxidative degradation of serum lipoproteins has been attributed to this enzyme. Indeed, PON1 is a component of a spectrum of circulating high density lipoprotein particles and can hydrolyze oxidized phospholipids and cholesteryl ester hydroperoxides. Studies have been conducted to evaluate the possible “protective” role of PON, and especially the influence of the Arg→Gln 192 polymorphism, in coronary artery disease. Results from these investigations are conflicting, and recent data suggest a complex pattern with influences from other polymorphisms in either the PON1 and/or the PON2 and PON3 genes, or even another region of the gene cluster. A number of related factors, which include the heterogeneity of the high density lipoprotein particles incorporating PON(s), the metabolism of associated apolipoproteins such as apoJ/clusterin, the respective roles of PON(s) and other high density lipoprotein-associated enzymes such as platelet-activating-factor acetyl-hydrolase and lecithin-cholesterol acyltransferase, modifications of high density lipoprotein composition and activity under acute-phase conditions, the dietary and environmental regulation of PON(s), and the actual in situ availability of PON in the atherosclerotic artery wall, must equally be taken into account.
Milk-induced hypoalgesia in human newborns.

OBJECTIVE To determine whether milk and its components reduce crying in newborns during and after blood collection for phenylketonuria evaluation. METHODOLOGY Seventy-two normal newborns ingested 2 mL of milk (Similac), Ross Special Formula, fat, protein, lactose, sucrose, or water for the 2 minutes preceding blood collection via heel lance. Crying duration during and for the 3 minutes after the procedure was determined by scorers who were blind to the ingestive substance. RESULTS Sucrose and Similac each reduced crying during the blood collection procedure. Sucrose, fat, protein, and Ross Special Formula were effective during the 3-minute recovery period. Neither water nor lactose were effective during or after blood collection. CONCLUSION Milk and some of its components are antinociceptive in human newborns. Based on previous studies, reduced crying during and after painful stimulation may be mediated through endogenous opioids. These findings are of potential clinical significance: natural protective mechanisms, normally engaged during suckling, may safely and noninvasively be activated to reduce newborn crying to painful stimulation.
Graphene: Fine-Grained IO Management for Graph Computing

As graphs continue to grow, external memory graph processing systems serve as a promising alternative to inmemory solutions for low cost and high scalability. Unfortunately, not only does this approach require considerable efforts in programming and IO management, but its performance also lags behind, in some cases by an order of magnitude. In this work, we strive to achieve an ambitious goal of achieving ease of programming and high IO performance (as in-memory processing) while maintaining graph data on disks (as external memory processing). To this end, we have designed and developed Graphene that consists of four new techniques: an IO request centric programming model, bitmap based asynchronous IO, direct hugepage support, and data and workload balancing. The evaluation shows that Graphene can not only run several times faster than several external-memory processing systems, but also performs comparably with in-memory processing on large graphs.
A randomised, double-blind study in adults with major depressive disorder with an inadequate response to a single course of selective serotonin reuptake inhibitor or serotonin–noradrenaline reuptake inhibitor treatment switched to vortioxetine or agomelatine

This randomised, double‐blind, 12‐week study compared efficacy and tolerability of flexible‐dose treatment with vortioxetine (10–20 mg/day) versus agomelatine (25–50 mg/day) in major depressive disorder patients with inadequate response to selective serotonin reuptake inhibitor (SSRI)/serotonin–noradrenaline reuptake inhibitor (SNRI) monotherapy.
Timing of fat and liquid sugar intake alters substrate oxidation and food efficiency in male Wistar rats

In addition to the amount of ingested calories, both timing of food intake and meal composition are determinants of body weight gain. However, at present, it is unknown if the inappropriate timing of diet components is responsible for body weight gain. In the present study, we therefore studied a time-dependent effect of the diet composition on energy homeostasis. Male Wistar rats were subjected to chow ad libitum (chow group) or a choice diet with saturated fat, a 30% sugar solution, chow and tap water. The choice diet was provided either with all components ad libitum (AL), with ad libitum access to chow, tap water and a 30% sugar solution, but with access to saturated fat only during the light period (LF), or with ad libitum access to chow, tap water and saturated fat, but access to a 30% sugar solution only during the light period (LS). Caloric intake and body weight gain were monitored during 31 days. Energy expenditure was measured in the third week in calorimetric cages. All rats on a choice diet showed hyperphagia and gained more body weight compared to the chow group. Within the choice diet groups, rats on the LS diet were most food efficient (i.e. gained most body weight per ingested calorie) and showed a lower respiratory exchange ratio (RER) with an anti-phasic pattern, whereas no differences in locomotor activity or heat production were found. Collectively these data indicate that the timing of the diet composition affects food efficiency, most likely due to a shifted oxidation pattern, which can predispose for obesity. Further studies are underway to assess putative mechanisms involved in this dysregulation.
Using Magnetic Regulators for the Optimization of Universal Ballasts

Nowadays, there are few commercial types of ballasts that are able to control fluorescent lamps with different power ratings. One of the main issues is how to get optimum operation for each lamp in this condition. This paper tries to demonstrate how to accomplish this objective using a magnetic regulator, i.e., using a variable inductor. This variable inductor is controlled by a dc current delivered by a forward converter directly supplied from the ballast dc bus voltage. This control current allows changing the resonant tank and adapting it to the working parameters imposed by each lamp, ensuring near-resonance working conditions. Design criteria and practical verifications are included to confirm this new technique. Theoretical predictions are verified with the experimental results for three TLD Philips fluorescent lamps, from 18 to 58 W.
Cerebrospinal Fluid Biomarker Candidates for Parkinsonian Disorders

The Parkinsonian disorders are a large group of neurodegenerative diseases including idiopathic Parkinson’s disease (PD) and atypical Parkinsonian disorders (APD), such as multiple system atrophy, progressive supranuclear palsy, corticobasal degeneration, and dementia with Lewy bodies. The etiology of these disorders is not known although it is considered to be a combination of genetic and environmental factors. One of the greatest obstacles for developing efficacious disease-modifying treatment strategies is the lack of biomarkers. Reliable biomarkers are needed for early and accurate diagnosis, to measure disease progression, and response to therapy. In this review several of the most promising cerebrospinal biomarker candidates are discussed. Alpha-synuclein seems to be intimately involved in the pathogenesis of synucleinopathies and its levels can be measured in the cerebrospinal fluid and in plasma. In a similar way, tau protein accumulation seems to be involved in the pathogenesis of tauopathies. Urate, a potent antioxidant, seems to be associated to the risk of developing PD and with its progression. Neurofilament light chain levels are increased in APD compared with PD and healthy controls. The new “omics” techniques are potent tools offering new insights in the patho-etiology of these disorders. Some of the difficulties encountered in developing biomarkers are discussed together with future perspectives.
Modeling and optimizing the frictional behavior of woven fabrics in climatic conditions using response surface methodology

Frictional characteristics of woven fabrics can determine smoothness and softness values of textiles. In this paper, we have studied the influence of factors such as temperature, relative humidity, fabric structure, type of fiber material, and direction of motion on roughness properties of fabric surface using response surface method (RSM). For this purpose, woven fabrics with plain, rib2/2, twill2/2, twill1/3, twill3/1, twill1/7, and twill7/1 were produced with polyester warp yarn and two different weft yarns (cotton and polyester). Then, a statistical model (RSM) was used for the experimental plan (with these variables) to determine the runs of experiment (or selected points). Next, the frictional forces measurement was carried out on the fabrics in those directions. The experimental results showed that fabric-to-fabric friction (static frictional resistance, kinetic frictional resistance, and smoothness of woven fabrics) is highly sensitive to factors like relative humidity, fabric structure, type of fiber material, and direction of motion while temperature factor (in the range 0–50°C) has no sensitive effect on frictional parameters.
Induction of Hypertension and Peripheral Inflammation by Reduction of Extracellular Superoxide Dismutase in the Central Nervous System

The circumventricular organs (CVOs) lack a well-formed blood-brain barrier and produce superoxide in response to angiotensin II and other hypertensive stimuli. This increase in central superoxide has been implicated in the regulation of blood pressure. The extracellular superoxide dismutase (SOD3) is highly expressed in cells associated with CVOs and particularly with tanycytes lining this region. To understand the role of SOD3 in the CVOs in blood pressure regulation, we performed intracerebroventricular injection an adenovirus encoding Cre-recombinase (5×108 particles per milliliter) in mice with loxP sites flanking the SOD3 coding region (SOD3loxp/loxp mice). An adenovirus encoding red-fluorescent protein was injected as a control. Deletion of CVO SOD3 increased baseline blood pressure modestly and markedly augmented the hypertensive response to low-dose angiotensin II (140 ng/kg per day), whereas intracerebroventricular injection of adenovirus encoding red-fluorescent protein had minimal effects on these parameters. Adenovirus encoding Cre-recombinase–treated mice exhibited increased sympathetic modulation of heart rate and blood pressure variability, increased vascular superoxide production, and T-cell activation as characterized by increased circulating CD69+/CD3+ cells. Deletion of CVO SOD3 also markedly increased vascular T-cell and leukocyte infiltration caused by angiotensin II. We conclude that SOD3 in the CVO plays a critical role in the regulation of blood pressure, and its loss promotes T-cell activation and vascular inflammation, in part by modulating sympathetic outflow. These findings provide insight into how central signals produce vascular inflammation in response to hypertensive stimuli, such as angiotensin II.
Speaker adaptive model based on Boltzmann machine for non-parallel training in voice conversion

In this paper, we present a voice conversion (VC) method that does not use any parallel data while training the model. VC is a technique where only speaker specific information in source speech is converted while keeping the phonological information unchanged. Most of the existing VC methods rely on parallel data-pairs of speech data from the source and target speakers uttering the same sentences. However, the use of parallel data in training causes several problems; 1) the data used for the training is limited to the pre-defined sentences, 2) the trained model is only applied to the speaker pair used in the training, and 3) mismatch in alignment may happen. Although it is, thus, fairy preferable in VC not to use parallel data, a non-parallel approach is considered difficult to learn. In our approach, we realize the non-parallel training based on speaker-adaptive training (SAT). Speech signals are represented using a probabilistic model based on the Boltzmann machine that defines phonological information and speaker-related information explicitly. Speaker-independent (SI) and speaker-dependent (SD) parameters are simultaneously trained using SAT. In conversion stage, a given speech signal is decomposed into phonological and speaker-related information, the speaker-related information is replaced with that of the desired speaker, and then a voice-converted speech is obtained by mixing the two. Our experimental results showed that our approach unfortunately fell short of the popular conventional GMM-based method that used parallel data, but outperformed the conventional non-parallel approach.
Temporal Analysis of Measured LOS Massive MIMO Channels with Mobility

The first measured results for massive multiple-input, multiple-output (MIMO) performance in a line-of-sight (LOS) scenario with moderate mobility are presented, with 8 users served by a 100 antenna base Station (BS) at 3.7 GHz. When such a large number of channels dynamically change, the inherent propagation and processing delay has a critical relationship with the rate of change, as the use of outdated channel information can result in severe detection and precoding inaccuracies. For the downlink (DL) in particular, a time division duplex (TDD) configuration synonymous with massive MIMO deployments could mean only the uplink (UL) is usable in extreme cases. Therefore, it is of great interest to investigate the impact of mobility on massive MIMO performance and consider ways to combat the potential limitations. In a mobile scenario with moving cars and pedestrians, the correlation of the MIMO channel vector over time is inspected for vehicles moving up to 29km/h. For a 100 antenna system, it is found that the channel state information (CSI) update rate requirement may increase by 7 times when compared to an 8 antenna system, whilst the power control update rate could be decreased by at least 5 times relative to a single antenna system.
A Survey of Machine Learning Based Approaches for Parkinson Disease Prediction

— Parkinson disease (PD) is a universal public health problem of massive measurement. Machine learning based method is used to classify between healthy people and people with Parkinson’s disease (PD). This paper presents a comprehensive review for the prediction of Parkinson disease buy using machine learning based approaches. The brief introduction of various computational intelligence techniques based approaches used for the prediction of Parkinson diseases are presented . This paper also presents the summary of results obtained by various researchers available in literature to predict the Parkinson diseases.
A genetic screen in zebrafish identifies the mutants vps18, nf2 and foie gras as models of liver disease

Hepatomegaly is a sign of many liver disorders. To identify zebrafish mutants to serve as models for hepatic pathologies, we screened for hepatomegaly at day 5 of embryogenesis in 297 zebrafish lines bearing mutations in genes that are essential for embryonic development. Seven mutants were identified, and three have phenotypes resembling different liver diseases. Mutation of the class C vacuolar protein sorting gene vps18 results in hepatomegaly associated with large, vesicle-filled hepatocytes, which we attribute to the failure of endosomal-lysosomal trafficking. Additionally, these mutants develop defects in the bile canaliculi and have marked biliary paucity, suggesting that vps18 also functions to traffic vesicles to the hepatocyte apical membrane and may play a role in the development of the intrahepatic biliary tree. Similar findings have been reported for individuals with arthrogryposis-renal dysfunction-cholestasis (ARC) syndrome, which is due to mutation of another class C vps gene. A second mutant, resulting from disruption of the tumor suppressor gene nf2, develops extrahepatic choledochal cysts in the common bile duct, suggesting that this gene regulates division of biliary cells during development and that nf2 may play a role in the hyperplastic tendencies observed in biliary cells in individuals with choledochal cysts. The third mutant is in the novel gene foie gras, which develops large, lipid-filled hepatocytes, resembling those in individuals with fatty liver disease. These mutants illustrate the utility of zebrafish as a model for studying liver development and disease, and provide valuable tools for investigating the molecular pathogenesis of congenital biliary disorders and fatty liver disease.
Configuration bitstream compression for dynamically reconfigurable FPGAs

Field programmable gate arrays (FPGAs) holds the possibility of dynamic reconfiguration. The key advantages of dynamic reconfiguration are the ability to rapidly adapt to dynamic changes and better utilization of the programmable hardware resources for multiple applications. However, with the advent of multi-million gate equivalent FPGAs, configuration time is increasingly becoming a concern. High reconfiguration cost can potentially wipe out any gains from dynamic reconfiguration. One solution to alleviate this problem is to exploit the high levels of redundancy in the configuration bitstream by compression. In this paper, we propose a novel configuration compression technique that exploits redundancies both within a configuration's bitstream as well as between bitstreams of multiple configurations. By maximizing reuse, our results show that the proposed technique performs 26.5-75.8% better than the previously proposed techniques. To the best of our knowledge, ours is the first work that performs inter-configuration compression.
Age at onset and the outcomes of schizophrenia: A systematic review and meta‐analysis

The aim of this study was to analyse the effect of age at onset on the long‐term clinical, social and global outcomes of schizophrenia through a systematic review and a meta‐analysis. Original studies were searched from Web of Science, PsycINFO, Pubmed and Scopus, as well as manually. Naturalistic studies with at least a 2‐year follow‐up were included. Of the 3509 search results, 81 articles fulfilled the inclusion criteria. The meta‐analysis was performed in Stata as a random‐effect analysis with correlation coefficients between age at onset and the outcomes (categorized into remission, relapse, hospitalization, positive symptoms, negative symptoms, total symptoms, general clinical outcome, employment, social/occupational functioning and global outcome). There was a statistically significant (P < .05) correlation between younger age at onset and more hospitalizations (number of studies, n = 9; correlation, r = 0.17; 95% confidence interval, CI 0.09–0.25), more negative symptoms (n = 7; r = 0.14; 95% CI 0.01–0.27), more relapses (n = 3; r = 0.11; 95% CI 0.02–0.20), poorer social/occupational functioning (n = 12; r = 0.15; 95% CI 0.05–0.25) and poorer global outcome (n = 13; r = 0.14; 95% CI 0.07–0.22). Other relationships were not significant. This was the first systematic review of the effects of age at onset on the long‐term outcomes of schizophrenia. The results show that age at onset has a small, but significant impact on some of the outcomes of schizophrenia.
CpG Oligodeoxynucleotides Act as Adjuvants that Switch on T Helper 1 (Th1) Immunity

Synthetic oligodeoxynucleotides (ODN) that contain unmethylated CpG motifs (CpG ODN) induce macrophages to secrete IL-12, which induces interferon (IFN)-γ secretion by natural killer (NK) cells. Since these cytokines can induce T helper 1 (Th1) differentiation, we examined the effects of coadministered CpG ODN on the differentiation of Th responses to hen egg lysozyme (HEL). In both BALB/c (Th2-biased) and B10.D2 (Th1-biased) mice, immunization with HEL in incomplete Freund's adjuvant (IFA) resulted in Th2-dominated immune responses characterized by HEL-specific secretion of IL-5 but not IFN-γ. In contrast, immunization with IFA-HEL plus CpG ODN switched the immune response to a Th1-dominated cytokine pattern, with high levels of HEL-specific IFN-γ secretion and decreased HEL-specific IL-5 production. IFA-HEL plus CpG ODN also induced anti-HEL IgG2a (a Th1-associated isotype), which was not induced by IFA-HEL alone. Control non–CpG ODN did not induce IFN-γ or IgG2a, excepting lesser increases in B10.D2 (Th1-biased) mice. Thus, CpG ODN provide a signal to switch on Th1-dominated responses to coadministered antigen and are potential adjuvants for human vaccines to elicit protective Th1 immunity.
Non-flat audiograms in sensorineural hearing loss and speech perception

OBJECTIVE: The audibility thresholds for the sound frequency of 137 upward- and downward-sloping audiograms showing sensorineural hearing loss were selected and analyzed in conjunction with speech recognition thresholds obtained from individuals seen at a public otolaryngology clinic to determine which frequencies in slope audiograms best represent speech recognition thresholds. METHOD: The linear regression model and mean square error were used to determine the associations between the threshold values. RESULT: The mean square error identified larger errors when using thresholds of 500, 1000, and 2000 Hz than when using audibility thresholds of 500, 1000, 2000, and 4000 Hz. The linear regression model showed a higher correlation (91%) between the audiogram thresholds for frequencies of 500, 1000, 2000, and 4000 Hz than for the frequencies of 500, 1000, and 2000 Hz (88%). CONCLUSION: Frequencies of 500, 1000, 2000, and 4000 Hz were the most significant in predicting the speech recognition threshold.
The Chinese Abacus method: can we use it for digital arithmetic?

This paper discusses how to apply the approach used in the Chinese Abacus to implement digital arithmetic. Firstly, we examine the representations and the basic techniques used in the Chinese Abacus; then, we propose an MOS realization of the basic functions required; finally, we discuss a novel 12 bit full adder based on the Chinese Abacus method. Simulations of 0.5 /spl mu/m CMOS realizations showed that a parallel solution can run at 200 MHz while a pipeline realization can achieve 1 GHz of clock frequency. The complexity of the circuit is quite limited; thus, the use of the Chinese Abacus approach results in a competitive technique with respect to conventional methodologies.