Miracle-dz/UniFAR-FTUs huggingface dataset:
Emerging psychiatric syndromes associated with anti-voltage-gated potassium channel antibodies

Antibodies against the Voltage Gated Potassium Channel (VGKC) were first recognised in patients with encephalitis in 2001 (1), and the seminal paper describing the clinical phenotype and treatment responsiveness in 13 patients in 2004 (3). These initial case descriptions were of a progressive neuropsychiatric syndrome with abnormalities of mood, sleep and cognition recognised alongside the neurological symptoms of seizures, and autonomic instability. The clinical syndromes associated with VGKC antibodies have broadened considerably over the last 10 years, with multiple cases of more restricted presentations ‘formes fruste’ associated with VGKC antibodies being described. Our aim is to review the association between VGKC antibodies and isolated psychiatric presentations – with a focus on cognitive impairment, mood disorders and psychosis.
An improved method for extracting matrix elements from lattice three-point functions

The extraction of matrix elements from baryon three-point functions is complicated by the fact that the signal-to-noise drops rapidly as a function of time. Using a previously discussed method to improve the signal-to-noise for lattice two-point functions, we use this technique to do so for lattice three-point functions, using electromagnetic form factors for the nucleon and Delta as an example.
Estimating the minimum antiretroviral adherence required for plasma HIV-1 RNA viral load suppression among people living with HIV who use unregulated drugs

Objectives: Owing to advances in antiretroviral therapy (ART), we re-examined minimum ART adherence levels necessary to achieve sustained HIV-1 viral load (VL) suppression among people with HIV who use drugs (PHIV-PWUD). Design and methods: We used data from ACCESS, a community-recruited prospective cohort of PHIV-PWUD in Vancouver, Canada. We calculated adherence using the proportion of days of ART dispensed in the year before each VL measurement. We used generalized linear mixed-effects models to identify adherence- and ART regimen-related correlates of VL suppression (<200 copies/ml). We employed probit regression models and generated dose–response curves to estimate the minimum adherence level needed to produce VL suppression in 90% of measures, stratified by regimen and calendar-year. Results: Among 837 ART-exposed PHIV-PWUD recruited between 1996 and 2017, the overall estimated adherence level necessary to achieve 90% VL suppression was 93% (95% confidence interval [CI]: 90–96). This differed by regimen: 69% (95% CI: 45–92) for integrase inhibitor (INSTI)-, 96% (95% CI: 92–100) for boosted protease inhibitor (bPI)-, and 98% (95% CI: 91–100) for non-nucleoside reverse transcriptase inhibitor-based regimens. In multivariable analysis, INSTI-based regimens were positively associated with VL suppression (vs. bPIs), while un-boosted PIs and other regimens were negatively associated. We observed a decreasing temporal trend of estimated adherence necessary for 90% VL suppression, dropping to 64% (95% CI: 50–77) during 2016–2017. Conclusion: Although high levels of ART adherence were necessary to achieve consistent VL suppression, the minimum necessary adherence levels decreased over time. Overall, INSTI-based regimens performed the best, suggesting that they should be preferentially prescribed to PHIV-PWUD.
Cumulative Prospect Theory in Option Valuation and Portfolio Management

This thesis deals with different models for decision-making under risk in financial applications, mainly models that incorporate irrational human behavior. First of all, traditional expected utility theory is considered. Hereafter, two models that incorporate irrational human behavior are discussed and compared: prospect theory and cumulative prospect theory. Next, these models are applied to option pricing. The influence of various levels of sentiment on the option price is investigated and the prices are compared with Black-Scholes prices. Also, a sensitivity analysis is done in order to investigate the influence of the prospect parameters on the option price. Furthermore, the different models discussed are applied to portfolio management for which the optimal wealth profiles are analyzed and compared. Moreover, a data analysis with a portfolio of stocks of different indices is done in which it is investigated whether the parameter estimates used for prospect sentiment are applicable to financial data. Finally, a hedge test under prospect sentiment is performed in order to investigate whether a delta-hedge leads to sufficient results in case of asset price paths under prospect sentiment.
Automated Program Transformation for Improving Software Quality

Software bugs are not going away. Millions of dollars and thousands of developer-hours are spent finding bugs, debugging the root cause, writing a patch, and reviewing fixes. Automated techniques like static analysis and dynamic fuzz testing have a proven track record for cutting costs and improving software quality. More recently, advances in automated program repair have matured and see nascent adoption in industry. Despite the value of these approaches, automated techniques do not come for free: they must approximate, both theoretically and in the interest of practicality. For example, static analyzers suffer false positives, and automatically produced patches may be insufficiently precise to fix a bug. Such limitations continue to impose substantial human effort amid the benefits of automation. Software development activities revolve around changing code. Thus, performing and reasoning about program change has extensive bearing on the effectiveness of automated techniques. From this perspective, we develop new automated techniques for changing programs to improve analysis behavior, and, correspondingly, use automated reasoning and analysis to specialize program changes for automated program repair. We present the first evidence that automated program transformation, program analysis, and program repair are interrelated and cooperative. We first show that automated program transformation leads to higher quality static analysis (by reducing false positives) and dynamic fuzz testing (by reducing duplicate bug reports). We then show how high-quality static analyses can feed into and enable automated program repair, and how automated repair can circle back to further improve static analysis (e.g., by revealing more true positive bugs). The thesis is that automated syntactic and semantic search and application of program transformations enables efficient, scalable, and unassisted techniques for improving the effectiveness of existing program analyses and end-to-end repair of real-world programs. We show that these techniques are effective compared to current approaches in the respective domains of static analysis, dynamic fuzz testing, and program repair. We demonstrate relevance and real-world applicability by evaluating on large, popular, and active projects across multiple languages. Our vision for this work is that new capabilities and techniques for automated program transformation foster effective ways to automate burdensome human effort and reasoning incurred by limitations in program analysis and repair.
5 A study of timing stability of Black Widow pulsars

We study the timing stability of three black widow pulsars, both in terms of long-term variation as well as shorter-term changes in their orbital parameters. The erratic timing behaviour and radio eclipses of the ﬁrst two black widow pulsar systems discovered (PSRs B1957 − 20 and J2051+0827) was assumed to be repre-sentative for this class of pulsars. With several new black widow systems added to this population in the last decade, there are now several systems known that do not show the typical orbital timing variations or radio eclipses. We present timing solutions using 7 − 8 yrs of observations, using data from four of the European Pulsar Timing Array telescopes for PSRs J0023+0923, J2214+3000 and J2234+0944, and conﬁrm that these pulsars do not show any signiﬁcant variations over our observing time span, both in terms of secular or orbital parameters. Our results from the long-term timing of these pulsars provide several new or improved parameters compared to earlier work. We discuss our results regarding the stability of these pulsars, and the stability of the class of black widow pulsars in general, in context of the binary parameters, and discuss the potential of the Roche lobe ﬁlling factor of the companion star being an indicator of stability of these systems.
Understanding and applying human grasping to artificial manipulators

Though a small part of the body, the human hand is complex and remarkably versatile and multipurpose. Much work has gone into understanding the hand, such as understanding the physical capabilities of the human hand, how humans develop manipulation skills throughout the lifespan, how people translate task requirements into grasping strategy, and so on. Despite that, human manipulation is still not well understood. For example, how many grasps or manipulation actions do people use in daily life? How often and under what circumstances do people use both hands simultaneously instead of one? A better understanding of how humans grasp can improve our ability to control robotic hands, which are still far behind human hands in dexterity. In our work we have used a variety of methods to observe how humans grasp and manipulate in natural, everyday settings. We have used photos taken throughout a normal day; high-framerate video in a specific setting (that of a convenience store); and cameras and motion capture systems in the context of a controlled experiment involving transporting a bowl from one location to another. In these studies we found that a single grasp pose can be used for a variety of actions, were able to observe the grasping process in detail, and found that minimizing body rotation plays a large role in the use of one hand vs. two in transport tasks. We propose applications of some of the main findings of these studies to the goal of improving the success of grasping performed by robotic hands and virtual characters. In particular, we propose using the detailed grasping behavior found in the high-framerate video to create a simple soft hand capable of executing several ways of turning precision grasps into power grasps. This work thus presents the results and insights from investigations of human manipulation and lays out ways in which those insights can be used to improve the capabilities of artificial manipulators.
Towards Data-Efficient Machine Learning

Deep learning works well when the problem is regular enough and there is abundant training data to adequately and in a representative way reflect all the regularity. As the ambition of researchers grows, problems with less regularity are being addressed, where more data is needed to achieve great performance. In addition, as researchers push the boundary of deep learning, state-of-the-art models become more and more data-hungry due to the growing capacity. Hence, data annotation is necessary to train deep learning models to perform well. However, data annotation is a costly process that requires a significant amount of work for each new task of interest. To tackle this difficulty, we present algorithms that can leverage other kinds of information to achieve a better performance given a certain amount of data. In this thesis, we show how to leverage several kinds of information including: (1) unlabeled data; (2) data from another domain; (3) prior knowledge. First, when unlabeled data of the domain of interest is available, semi-supervised learning can effectively improve the performance of deep learning models by regularizing the models to make consistent predictions for similar examples; Second, when data from another domain is available, transfer learning or domain adaptation can be applied to transfer general knowledge or task-specific knowledge learned from another domain to the domain of interest; Last, with prior knowledge, we can inject targeted inductive biases into the models and make use of external knowledge bases. With three possible directions, one might wonder what direction should be taken given a new task. To offer practical suggestions to researchers and practitioners, we analyze the effectiveness, the applicability and the engineering difficulty of each algorithm. Specifically, we present the performance of different algorithms on different problems and study whether different algorithms can be combined together for improved performance, analyze whether an algorithm can be applied to a broad range of tasks or is restricted to certain tasks and discuss the required engineering efforts for each algorithm.
OTT_A_249895 4339..4348

Department of Hematology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, People’s Republic of China Purpose: Risk stratification in patients with multiple myeloma (MM) remains a challenge. As clinicopathological characteristics have been demonstrated insufficient for exactly defining MM risk, and molecular biomarkers have become the focuses of interests. Prognostic predictions based on gene expression profiles (GEPs) have been the most accurate to this day. The purpose of our study was to construct a risk score based on stemness genes to evaluate the prognosis in MM. Materials and Methods: Bioinformatics studies by ingenuity pathway analyses in side population (SP) and non-SP (MP) cells of MM patients were performed. Firstly, co-expression network was built to confirm hub genes associated with the top five Kyoto Encyclopedia of Genes and Genomes pathways. Functional analyses of hub genes were used to confirm the biologic functions. Next, these selective genes were utilized for construction of prognostic model, and this model was validated in independent testing sets. Finally, five stemness genes (ROCK1, GSK3B, BRAF, MAPK1 and MAPK14) were used to build a MM side population 5 (MMSP5) gene model, which was demonstrated to be forcefully prognostic compared to usual clinical prognostic parameters by multivariate cox analysis. MM patients in MMSP5 low-risk group were significantly related to better prognosis than those in high-risk group in independent testing sets. Conclusion: Our study provided proof-of-concept that MMSP5 model can be adopted to evaluate recurrence risk and clinical outcome for MM. The MMSP5 model evaluated in different databases clearly indicated novel risk stratification for personalized anti-MM treatments.
Cabergoline versus Quinagolide for the Management of Macroprolactinoma and Erectile Dysfunction: A Randomized, Open-Label Study

Background: Pituitary prolactinomas are recognized cause of male sexual dysfunction and infertility. Dopamine agonists have been used with variable success rates in the management of prolactinomas. In this study we compared between cabergoline (CAB) and quinagolide (QIN), two selective dopamine agonists, in male patients with erectile dysfunction (ED) and macroprolactinomas. Methods: Thirty-nine male patients with macroprolactinomas, ED, and variable rates of infertility were recruited in the study. Twenty-one patients received CAB 0.5-1mg twice/week and 18 patients received QIN75-150µg once daily for 6 months. Tumor size, assessed by magnetic resonance imaging, and serumprolactin (PRL), gonadotrophic hormones (FSH, LH), and testosterone (TS) as well as erectile function and sperm characteristics were evaluated at study entry and after 3 and 6 months of treatments. Results: Both CAB and QIN achieved significant success in tumor shrinkage, decrease serum PRL, improve erectile functions core, elevation of serum TS, and improvement of sperm characteristics after 3 months with greater results after 6 months of treatment; however, CAB treatment was comparably more effective in promoting most of these improvements and was well tolerated than QIN. Conclusion: In conclusion, Both CAB and QIN showed significant success in the treatment of macro prolactinomas associated with ED in 39 male Egyptian patients. Large multicenter studies with longer duration would be more useful to consider limitations of data and their context in comparison with those of similar studies.
The decay of the chromosomally-encoded ccd toxin-antitoxin system in the E.

The origin and the evolution of toxin-antitoxin systems (TA) remain to be uncovered. TA are abundant in bacterial chromosomes and are thought to be part of the flexible genome that originates from horizontal gene transfer (HGT). To gain insight into TA evolution, we analysed the distribution of the chromosomally-encoded ccd O157 system in 395 natural isolates of E. coli . It was discovered in the E. coli O157:H7 strain in which it constitutes a genomic islet between 2 core genes ( folA and apaH ). Our study revealed that the folA-apaH intergenic region is plastic and subject to insertion of foreign DNA. It could either be composed (i) of a REP (r epetitive extragenic palindromic) sequence, (ii) of the ccd O157 system or subtle variants of it, (iii) of large DNA piece that contained a ccdA O157 antitoxin remnant in association with ORFs of unknown function or (iv) a variant of it containing an insertion sequence in the ccdA O157 remnant. Sequence analysis and functional tests of the ccd O157 variants revealed that 69% of the variants were composed of an active toxin and antitoxin, 29% of an active antitoxin and an inactive toxin, and in 2% of the cases both ORFs were inactive. Molecular evolution analysis showed that ccdB O157 is under neutral evolution, suggesting that this system is devoid of any biological role in the E. coli species. presence of arabinose. serial
Enhancement of Rotator Cuff Tendon-bone Healing with Graphene Oxide/PRP Composite Scaffold in a Rabbit Model: A Histological and Biomechanical Study

Background: Application of platelet-rich plasma (PRP) can improve tendon-bone healing (TBH) after rotator cuff surgical repair. Graphene Oxide (GO) is a steady, controlled, and sustained carrier. The purpose of this study is to determine whether GO/PRP Composite Scaffold enhances the TBH after RC surgical repair in a rabbit model.Methods: A full-thickness tear of the supraspinatus tendon was created and repaired in 36 adult male New Zealand rabbits. They were divided into three groups: Control group, PRP group, and GO/PRP Composite Scaffold group (GO group). The effect of GO/PRP Composite Scaffold on TBH was assessed using histological and biomechanical evaluations at 8 and 12 weeks postoperatively.Results: Histological analysis showed that greater continuity, better orientation, and more density of collagen fiber were detected in the GO group than PRP and Control groups at 8 and 12 weeks, respectively. Results of biomechanical evaluations showed that the load to failure and stiffness of the GO group were statistically higher than those of PRP and Control groups at both 8 and 12 weeks (P<0.05). Compared with 8 weeks in the GO group, there was no significant difference in load to failure at 12 weeks (P>0.05), while the stiffness at 12 weeks was higher than that at 8 weeks (P<0.05). Conclusions: These results demonstrated that GO/PRP Composite Scaffold enhanced the TBH following rotator cuff surgical repair in a rabbit model. The GO may be an effective carrier for PRP into repair sites.
Vitro2 Subunit mRNA and Respond to IL-12 In b Receptor Asthmatic Responses Express IL-12 T Cells from Human Allergen-Induced Late

IL-12 suppresses proallergic Th2-type cytokine production and induces Th1-type cytokine production by peripheral blood T cells from subjects with allergic disease. The objective of the present study was to examine the relevance of these ﬁndings to target organ T cell responses in human asthma. Bronchoalveolar lavage (BAL) and PBMC were collected from atopic asthmatics 24 h after ﬁberoptic allergen challenge of a segmental bronchus. BAL T cells and PBMC were cultured with allergen in the presence of recombinant IL-12 or IFN- g , and cytokines were measured in culture supernatants after 6 days. IL-5 production by BAL T cells and PBMC was inhibited by IL-12 and, to a lesser extent, by IFN- g . IL-12 also induced IFN- g production by BAL T cells and PBMC. The effects of IL-12 nor IFN- g on IL-5 production could not be reversed by neutralizing anti-IFN- g or anti-IL-12 mAbs, respectively. Thus, the effect of neither IL-12 nor IFN- g appeared to be mediated through induction of the other cytokine. In situ hybridization revealed that approximately one-third of BAL T cells expressed mRNA transcripts encoding the IL-12R b 2 subunit following allergen challenge. Thus, human T cells obtained from BAL during asthmatic late responses, like T cells in the peripheral circulation, remain susceptible to immunomodulation by IL-12. These ﬁndings raise the possibility that IL-12 may hold thera-peutic potential in allergic diseases such as asthma. The Journal of Immunology, 2000, 165: 2877–2885.
ISO Certified THE ROLE AND IMPORTANCE OF AN ELECTROCARDIOGRAM TO REFLECT THE POTASSIUM LEVEL IN DIABETIC KETOACIDOSIS PATIENTS

Diabetic ketoacidosis is a common cause of morbidity and mortality in the emergency department of Iraqi hospitals. Electrolyte disturbances are frequently accompanying diabetic ketoacidosis, specifically hyper and hypokalemia. Electrocardiography is an easy and available tool for early identification of these electrolyte disturbances. Aim of the study is to assess the role and importance of ECG monitor, which is a simple, quick, non-invasive and readily available tool in the diagnosis and confirmation of hypokalemia and hyperkalemia in patients with DKA in the Emergency Department. A cross-sectional study conducted in the Baghdad Teaching Hospital- Medical Complex Baghdad city /Emergency Department. The duration of the study was through six months from the 1st of January to the 30th of June 2019 on a sample of 88 DKA patients. Interpretation of the ECG was made by the supervisor, the researcher and the physicians in the emergency department. Results: Prevalence of hypokalemia among DKA patients was 75%. Significant ECG changes associated with hypokalemia among DKA patients were prolonged QT interval, flat T wave, U wave and ST depression. A highly significant association was observed between female gender DKA patients and hypokalemia (p<0.001). Mean random blood sugar of DKA patients with hypokalemia was significantly higher than the RBS mean of DKA patients with average K+ level (p<0.001). Mean blood PH of DKA patients with hypokalemia was significantly lower than blood PH mean of DKA patients with normal K+ level (p<0.001).
PARALLEL MRI?

: Cine cardiac MRI is generally accepted as the 'gold-standard' for functional myocardial assessment. It only took a few years after the development of commercial MRI systems for functional cardiac imaging to be developed, with ECG gated cine imaging first reported in 1988. The function of the GI tract is more complex to study compared to the heart. However, the idea of having a non-invasive tool to study the GI function that also allows the concurrent assessment of different aspects of this function has become more and more attractive in the gastroenterological field. This review summaries key literature of the last 5 years to describe the current status of MRI in respect to the evaluation of GI function, highlighting the gaps and challenges and the future prospects. As the clinical application of a new technique requires that its clinical utility is confirmed by demonstration of its ability to enable clinicians to make a diagnosis and/or predict the treatment response, this review also considers whether or not this has been achieved, and how MRI has been validated against techniques currently recognised as the gold standard in clinical practice.