Miracle-dz/UniFAR-FTUs huggingface dataset:
Association between Circulating Levels of C-reactive Protein and Positive and Negative Symptoms of Psychosis in Adolescents in a General Population Birth Cohort. Journal of Psychiatric Research.

Background: Schizophrenia is associated with elevated levels of circulating C-reactive protein (CRP) and other inflammatory markers, but it is unclear whether these associations extend to psychotic symptoms occurring in adolescence in the general population. A symptom-based approach may provide important clues for apparent trans-diagnostic effect of inflammation, which is also associated with depression and other psychiatric disorders. Methods: Based on data from 2421 participants from the Avon Longitudinal Study of Parents and Children birth cohort, we examined associations of serum CRP levels assessed around age 16 with ten positive and ten negative symptoms of psychosis assessed using questionnaires around age 17, using both individual symptoms and symptom dimension scores as outcomes. Regression models were adjusted for sex, body mass index, depressive symptoms, substance use, and other potential confounders. Results: Most prevalent positive symptoms were paranoid ideation (4.8%), visual (4.3%) and auditory (3.5%) hallucinations. Negative symptoms were more strongly correlated with concurrent depressive symptoms ( r = 0.51; P < 0.001) than positive symptoms ( r pb = 0.19; P < 0.001). The associations of CRP with positive and negative symptom dimension scores were similar. At individual symptom level, after adjusting for potential confounders including depressive symptoms, CRP was associated with auditory hallucinations (adjusted OR = 2.22; 95% CI, 1.04 – 4.76) and anhedonia (adjusted OR = 1.13; 95% CI, 1.02 – 1.26). Conclusions: Inflammation is associated with sub-clinical psychotic symptoms in young people in general population. Association of CRP with symptoms commonly shared between mood and psychotic disorders, such as auditory hallucinations and anhedonia, could be one explanation for the apparent trans-diagnostic effect of inflammation.
Technical Analysis Indexes in testing Efficincy of EKF Price Estimation in High Frequency Trading

-obtaining to the method with the least prediction error is one of the challenging issues of financial and investment markets analyzers. In high frequency trading strategies predicting the most accurate price of the securities is the only way to benefit from the markets. This paper presents a new approach to set the functional parameters of the Kalman filter, dynamically according to the market environment changing with respect to the technical analysis indexes, the parameter Q is measured by simple artificial neural network. And feed to the EKF algorithm to predict the next price for the securities. The method is experimented on the securities of the Iran stock exchange market to show its desirability in short-term prediction.
Long term prognostic implication of newly detected abnormal glucose tolerance among patients with stable cardiovascular disease: a population-based study CURRENT STATUS: POSTED

Background: To assess the association between fasting plasma glucose (FPG) and 2-h post challenge plasma glucose (2h-PCPG) as continuous or categorical variables with risk of recurrent cardiovascular disease (CVD) and incident diabetes among subjects with history of previous CVD. Methods: In a prospective population-based cohort, a total of 335 Iranians aged ≥30 years, with history of CVD and free of known diabetes were included. Prediabetes was defined as impaired fasting glucose (IFG) according to the criteria of the American Diabetes Association (ADA) [IFG-ADA; FPG: 5.6-6.9 mmol/L], the World Health Organization (WHO) expert group (IFG-WHO; FPG: 6.1-6.9 mmol/L) and impaired glucose tolerance [IGT: 2h-PCPG: 7.8-11.0 mmol/L]. Cox’s proportional hazard models adjusted for traditional risk factors were used to estimate the hazard ratio (HR) with 95% confidence interval (CI) of different glucose intolerance for outcomes of interest. Results: During a median follow-up of 15.8 (IQR, 10.7-16.5) years, 178 CVD (hard event including death, myocardial infarction and stroke=69) events occurred. Regarding FPG, only IFG-ADA was associated with significant higher risk of hard CVD in the fully adjusted model (HR, 1.73, 95% CI: 1.04-2.89). Moreover, newly diagnosed diabetes (FPG≥7 mmol/L) was an independent risk of CVD (2.11: 1.22-3.66). Focusing on 2h-PCPG, subjects with newly diagnosed diabetes (2h-PCPG ≥ 11.1 mmol/L) had moderately increased risk of hard coronary heart disease (2.02:0.91-4.47, P=0.08). The multivariate HRs (95% CI) associated with 1 SD increase in FPG and 2h-PCPG was 1.16 (1.01–1.33) and 1.19 (1.02–1.38) for CVD, respectively. Among population free of diabetes
Role of ISCU in development of mitochondrial myopathy

Iron-sulfur (Fe-S) clusters are versatile cofactors involved in regulating multiple physiological activities, including energy generation through cellular respiration. Initially, the Fe-S clusters are assembled on a conserved scaffold protein ISCU in coordination with iron and sulfur donor proteins in human mitochondria. Loss of ISCU function leads to myopathy, characterized by muscle wasting and cardiac hypertrophy. In addition to homozygous ISCU mutation (g.7044G>C), compound heterozygous patients with severe myopathy have been identified to carry (c.149G>A) missense mutation converting glycine 50 residue to glutamate. However, the physiological defects and molecular mechanism associated with G50E mutation have not been elucidated. In this report, we uncover mechanistic insights concerning how the G50E ISCU mutation in humans leads to development of severe ISCU myopathy, using human cell line and yeast as the model systems. The biochemical results highlight that, G50E mutation results in compromised interaction with the sulfur donor NFS1 and J-protein HSCB protein, thus impairing the rate of Fe-S cluster synthesis. As a result, electron transport chain (ETC) complexes show significant reduction in their redox properties leading to loss of cellular respiration. Furthermore, the G50E mutant mitochondria display enhancement in iron level and reactive oxygen species (ROS), thereby causing oxidative stress leading to impairment in the mitochondrial functions. Thus, our findings provide compelling evidence that respiration defect due to impaired biogenesis of Fe-S clusters in myopathy patients, leads to manifestation of complex clinical symptoms. http://www.jbc. org/cgi/doi/10.1074/jbc.M113.526665 The latest version is at JBC Papers in Press. Published on February 26, 2014 as Manuscript M113.526665
A study to end-winding induced iron losses in high-speed electrical machines with concentrated windings

One potential problem associated with the high electrical frequency in high-speed electrical machines are additional iron losses near the end-windings. They are expected to be a significant part of the total iron loss. The reader is introduced to currently known methods to study high-frequency iron loss estimation and end-effects in laminated media. No suitable method is found. Therefore, an experimental approach is presented. A short-axial laminated stator core is exposed to high-frequency excitation fields generated by coils with normal and extended end-winding heights. The proposed experimental method is verified numerically with a simplified brute-force 3D finite element model. Significant less losses are measured and calculated for the extended end-winding case. Non-homogeneous material properties in the core also seems to influence the measured iron losses at higher frequencies. The results show that most of the high-frequency losses are induced in the stator end laminations near the end-winding. In addition, it is found that the traditional eddy-current model underestimates the modelled results significantly if a wrong peak magnetic flux density is used. With both the experimental and numerical approach, it is shown that the impact of high-frequency end-winding induced iron losses on the total core loss cannot be neglected in iron loss estimation methods for short axial high-speed electrical machines with concentrated windings.
HYBRID ‘A+AGPD+C’ MODEL: PHENOMENON THREE DIMENSIONAL FORM FOR ILLUSTRATION DRAWING PAINTING MANUALLY

— This study employed model process of line drawing painting manually using a hybrid context 'Art' and 'Architecture Graphic Presentation Drawing' and courseware (A + AGPD+C). Model process will propose in courseware prototype. This hybrid model was designed to assist difficulties in producing a quality visual object among undergraduate student. Interview, observation and imitation were used in the visualization process. The organization of Line Visual Art (LVA) was analyzed based on art elements: appearance, line, shape, form, texture and color in order to form three dimensional illustration line drawing objects manually (3DiLDom). The model process consists of the best technique drawing painting in (3DiLDOm) by Subject Matter Expert (SME) and mimesis Modeling. This study helps in the development of students’ drawing ability using line techniques. The courseware can be used by students, lecturers, and communities in improving their understanding of drawing and to work independently. This study contributes to the curriculum and pedagogy in the area of drawing model development; shifted from a Traditional Learning Approach (TDA) to a Self-Access Learning (SAL) to draw their manually drawing painting environment for student-centered teaching transformation.
Memory Circuit Design in Quaternary Logic

— The most widely used semiconductor memory types are the Dynamic Random Access Memory [DRAM] and Static Random Access memory (SRAM). Competition among memory manufacturers drives the need to increase the storage capacity per chip and reduce the cost per bit. A technology that has not been successfully exploited commercially is the Multilevel DRAM [MLDRAM], which offers lower cost-per-bit without the expense of retooling the DRAM manufacturing process. MLDRAM differs from conventional DRAMs by storing more than one bit per storage cell. This paper proposes and analyses a new MLDRAM sensing scheme and also analyses SRAM single cell. The accuracy of the result is validated by means of Hspice simulations with 90nm and 50nm technology to explore the applicability of the results in deep submicron technologies.
Global Exploring SSP land-use dynamics using the IMAGE model: Regional and gridded scenarios of land-use change and land-based climate change mitigation

Projected increases in population, income and consumption rates are expected to lead to rising pressure on the land system. Ambitions to limit global warming to 2 °C or even 1.5 °C could also lead to additional pressures from land-based mitigation measures such as bioenergy production and a ﬀ orestation. To investigate these dy- namics, this paper describes ﬁ ve elaborations of the Shared Socio-economic Pathways (SSP) using the IMAGE 3.0 integrated assessment model framework to produce regional and gridded scenarios up to the year 2100. Additionally, land-based climate change mitigation is modelled aiming for long-term mitigation targets including 1.5 °C. Results show diverging global trends in agricultural land in the baseline scenarios ranging from an expansion of nearly 826 Mha in SSP3 to a decrease of more than 305 Mha in SSP1 for the period 2010 – 2050. Key drivers are population growth, changes in food consumption, and agricultural e ﬃ ciency. The largest changes take place in Sub-Saharan Africa in SSP3 and SSP4, predominantly due to high population growth. With low increases in agricultural e ﬃ ciency this leads to expansion of agricultural land and reduced food security. Land use also plays a crucial role in ambitious mitigation scenarios. First, agricultural emissions could form a substantial component of emissions that cannot be fully mitigated. Second, bioenergy and reforestation are crucial to create net negative emissions reducing emissions in SSP2 in 2050 by 8.7 Gt CO 2 /yr and 1.9 Gt CO 2 /yr, respectively (1.5 °C scenario compared to baseline). This is achieved by expansion of bioenergy area (516 Mha in 2050) and reforestation. Expansion of agriculture for food production is reduced due to REDD policy (290 Mha in 2050) a ﬀ ecting food security especially in Sub-Saharan Africa indicating an important trade-o ﬀ of land-based mitigation. This set of SSP land-use scenarios provides a comprehensive quanti ﬁ cation of interacting trends in the land system, both socio-economic and biophysical. By providing high resolution data, the scenario output can improve interactions between climate research and impact studies.
High­flavonoid intake induces cognitive improvement linked to changes in serum brain­derived neurotrophic factor: two randomised,controlled trials High­flavonoid induces cognitive

BACKGROUND: Recent clinical studies have indicated the beneﬁcial impact of dietary ﬂavonoid intake on human cognitive performance. Although the mechanisms that mediate such improvements are currently unclear, animal and human trial data suggest that changes in neurotrophin expression, and related signalling apparatus, may be involved. OBJECTIVE: To investigate the link between changes in serum brain-derived neurotrophic factor (BDNF) and changes in human cognitive performance following ﬂavonoid intake. METHODS: The relationship between serum levels of BDNF and age, gender, BMI, waist circumference, blood pressure and cognition at baseline, and following ﬂavonoid intake, was investigated in two distinct randomised, controlled clinical trials. Trial 1 was conducted in men and women (aged 26–70y; consuming an average of 3 portions of fruit and vegetables per day) and delivered high-ﬂavonoid (>15mg/100g) or low-ﬂavonoid (<5mg/100g) fruit and vegetables and increased intake by 2 portions every 6 weeks. The control arm was habitual diet over the same time frame. Trial 2 was conducted in an older males and female cohort (aged 62–75y) intervening with a high-ﬂavanol cocoa drink (494mg total ﬂavanols) and a low-ﬂavanol cocoa drink (23mg total ﬂavanols) for 12 weeks. RESULTS: Serum BDNF levels increased linearly to the age of 65, after which BDNF levels were found to decrease markedly. All other physiological and anthropometric measurements proved to not be signiﬁcantly associated with serum BDNF levels ( p >0.05), although higher levels in males compared to females almost achieved signiﬁcance ( p =0.056). At baseline, higher serum BDNF levels were associated with signiﬁcantly better global cognition scores, relative to individuals with lower serum levels. In addition, following intervention for 18 weeks, high-ﬂavonoid, but not low-ﬂavonoid, fruit and vegetableintakeinducedsigniﬁcantimprovementsincognitiveperformanceandincreasesinserumBDNFlevels( p =<0.001). Flavanol intervention for 12 weeks also resulted in signiﬁcant increases in serum BDNF ( p =<0.001), and such increases were correlated with improvements in global cognitive performance. CONCLUSION: Increasesinglobalcognitioninducedbyhighﬂavonoidfruitandvegetables,andcocoaﬂavanolswereparal-leled by concurrent changes in serum BDNF levels, suggesting a role for BDNF in ﬂavonoid-induced cognitive improvements. Furthermore, we provide further data suggesting that serum BDNF levels may represent a biomarker of cognitive function.
An autocrine CXCR3 activation-loop drives breast tumor cell migration and invasion through ERK and AKT signaling

Chemokine receptor signaling has a prominent role in breast cancer cell migration in the context of metastasis formation, but the roles of many receptor-ligand pairs in this process remain unclear. Here we determined the expression profile of chemokine receptors and their respective ligands in the metastatic mammary adenocarcinoma cell line MTLn3 by microarray gene expression profiling and semi-quantitative RT-PCR. CXCR3 and its ligands CXCL10 and CXCL11 were prominently expressed in MTLn3 cells. CXCR3 activation by CXCL10 and CXCL11 induced transient intracellular Ca 2+ mobilization. CXCL11 enhanced random cell migration and stimulated chemotaxis-driven cell invasion. CXCR3 activation by either CXCL10 or CXCL11 caused activation of both ERK and AKT. Pharmacological inhibition of MEK with U0126 or phosphoinositide-3 kinase with LY294002 inhibited the CXCL11-induced MTLn3 cell invasion. Finally, knock down of CXCR3 in MTLn3 cells inhibited cell migration into an artificial wound which was associated with reduced protrusion formation. Together, these data suggest that autocrine CXCR3 activation is important for MTLn3 tumor cell migration and invasion and a potentially important drug target to inhibit cell biological steps of breast cancer progression and metastasis.
Kondo scaling in the optical response of

Theoretical work on Kondo systems predicts universality in the scaling of observable quantities with the Kondo temperature, T K . Here we report infrared-frequency optical response measurements of the correlated system YbIn 1 − x Ag x Cu 4 . We observe that x -dependent variations in the frequency and strength of a low energy excitation are related to the x -dependent Kondo temperature. Comparison of the inferred trends with existing theory and a model calculation provides a framework in which to view these experimental results as scaling phenomena arising from local-moment/conduction electron hybridization.
Topics in Ω-Automata A Journey through Lassos, Algebra, Coalgebra and Expressions

In recent years, automata theory has been brought into the realm of category theory which allowed the generalisation of results and provided new perspectives. With the introduction of the Ω-automaton, an ω-automaton which arises as a coalgebra, there is a wide range of directions to explore. Unlike other types of ω-automata, Ω-automata are deterministic and their acceptance is local. Like deterministic finite automata, they can be minimised and as they are coalgebraic, we can use categorical techniques to study them. We investigate Ω-automata from multiple perspectives and introduce several new tools along the way. Lassos are studied in more depth giving rise to the Lasso Representation Lemma which specifies the exact relation between lassos and ultimately periodic words. We also partially establish the connection between Wilke algebras and Ω-automata, highlighting the relationship between language acceptance and language recognition. Using the already existing Myhill-Nerode theorem for ω-regular languages, we carry out a strengthening which gives a lower bound for Ω-automata based on the index of the Nerode congruence we define. Furthermore, we present a Brzozowski construction for Ω-automata using lasso expressions. This gives new insights into more effective ways of constructing Ω-automata and brings us closer to the question of size constraints. Finally, we discuss some minimisation procedures for Ω-automata, in particular the Brzozowski minimisation algorithm and an algorithm exploiting a dual equivalence.
HEALTH AND LABOUR PRODUCTIVITY IN NIGERIA: A MACROECONOMIC APPROACH

This study empirically examined the effects of health status on labour productivity for the period 2000Q1 to 2018Q4. In addition, the study examined the effect of macroeconomic variables on Nigerian labour productivity. Finally, the nature of relationship that exists among health status, macroeconomic variables and labour productivity was examined. The study proceeded by first testing for stationarity and co-integration of the variables used in the estimation process. Health status in this study is proxy by malaria cases, the proportion of undernourished Nigerians and life expectancy rate at birth. The macroeconomic variables considered in this study were secondary school enrolment rate and gross fixed capital formation. The vector auto-regression and the granger causality were used for the analysis. The empirical results attained showed that output per man has self-cumulative effect. Malaria cases constituted drag to labour productivity during the study period. Secondary school enrolment rate, the proportion of malnourished Nigerians and life expectancy rate at birth had no significant effect on output per worker. The study recommended that policies should be formulated to combat malaria in Nigeria, secondary school curriculum should be reviewed and efforts should be made to improve the life expectancy rate for Nigerians.
On the nature of bipolar sources in dense molecular clouds.

A unified interpretation is presented of bipolar sources associated with young stellar objects which are embedded in dense molecular clouds. It is suggested that such phenomena as optical and radio ''jets,'' high-proper-motion Herbig-Haro objects, separating broad-wing CO emission-line lobes, and cometary and bipolar nebulae, are linked through a basic outflow mechanism which is manifested on different scales. The outflow is assumed to originate in a spherically symmetric stellar wind which expands in a medium with anisotropic density and pressure distributions. The wind creates an interstellar bubble which elongates in the direction of the steepest external density gradient. The shape of the evacuated cavity is calculated explicitly for an energy-driven bubble and a power-law density distribution. It is shown that for density distributions which are likely to exist in protostellar environments, the expanding bubble could become unstable to the formation of de Laval nozzles which channel the flow into two oppositely directed, supersonic jets. The structure of nozzles and of jets is discussed in relation to various morphological features of bipolar sources. In particular, certain wave phenomena in jets, which could be induced by variations in the external pressure distribution, are applied to the interpretation of fan-shaped cometary nebulae and ofmore » certain stationary Herbig-Haro objects. Theoretical advantages of a directed-outflow model for bipolar sources are considered, and the reievance of molecular cloud jets to the study of jets in other astrophysicl environments is briefly outlined. « less
Identiﬁcation of an AU-rich Translational Enhancer within the Escherichia coli fepB Leader RNA (cid:1)

The fepB gene encodes a periplasmic binding protein that is essential for the uptake of ferric enterobactin by Escherichia coli . Its transcription is regulated in response to iron levels by the Fur repressor. The fepB transcript includes a 217-nucleotide leader sequence with several features suggestive of posttranscriptional regulation. To investigate the fepB leader for its contribution to fepB expression, deﬁned deletions and substitution mutations in the leader were characterized using fepB-phoA translational fusions. The fepB leader was found to be necessary for maximal fepB expression, primarily due to the inﬂuence of an AU-rich translational enhancer (TE) located 5 (cid:1) to the Shine-Dalgarno sequence. Deletions or substitutions within the TE sequence decreased fepB-phoA expression ﬁvefold. RNase protection and in vitro transcription-translation assays demonstrated that the TE augmented translational efﬁciency, as well as RNA levels. Moreover, primer extension inhibition assays showed that the TE increases ribosome binding. In contrast to the enhancing effect of the TE, the natural fepB GUG start codon decreased ribosome binding and reduced fepB expression 2.5-fold compared with the results obtained with leaders bearing an AUG initiation codon. Thus, the TE-GUG organization in fepB results in an intermediate level of expression compared to the level with AUG, with or without the TE. Furthermore, we found that the TE-GUG