Miracle-dz/UniFAR-FTUs huggingface dataset:
Generation of reporter cell lines by genome editing to probe p53 activity

The p53 protein is defined as a sequence-specific transcription factor and functions as a tumor suppressor protein. The p53 protein is involved in diverse cellular processes which are important for controlling cell cycle arrest and apoptosis. The regulation of p53 is governed by an autoregulatory negative feedback loop between p53 and MDM2. Mutations in the TP53 gene and defects in the regulation of p53 are mostly associated with tumor initiation, invasion, and metastasis. Therefore, restoration of p53 functions to target cancer cell viability has been used for cancer therapy. Genome editing techniques have been used as an effective method to correct mutations, to integrate a gene of interest, and to knock out genes. We generated reporter cell lines by using genome editing methods to probe the transcriptional activation of p53. We showed that TALEN induced genome editing is an effective method to integrate a reporter gene into a targeted safe harbor site. We investigated the effects of various compounds on the transcriptional activity of p53 by using these reporter cell lines and found that some of these compounds increased the transcriptional activity of p53. We also analyzed the effects of the compounds on cell viability in either the presence or absence of p53 and we showed that these compounds caused cell death independent of p53. Additionally, we identified that all compounds stabilized the p53 protein in HCT 116 p53 WT cells. We showed that this stabilization was because of damage-induced post-translational modification of p53. Lastly, we showed that these compounds did not block the interaction between MDM2 and p53. In summary, we developed and tested screening tools to identify modifiers of p53.
Balanced Ant Colony Optmization Algorithm for Job Scheduling in Grid Computing

Abstract—Grid computing is a novel technology for building high speed computing environment in which heterogeneous, distributed and dynamically available resources are integrated. However, in Grid environment, it is a big challenge to design an efficient scheduler and its implementation. It aims to find a suitable allocation of resources for each job. In the natural environment, the ants have a tremendous ability to team up to find an optimal path to food resources. An ant algorithm simulates the behavior of ants. In this paper, we propose a Balanced Ant Colony Optimization (BACO) algorithm for job scheduling in the Grid environment. The main contributions of our work are to balance the entire system load while trying to minimize the makespan of a given set of jobs. Compared with the other job scheduling algorithms, BACO can outperform them according to the experimental results.
An Adaptive Wind-Driven Optimization Algorithm for Extracting the Parameters of a Single-Diode PV Cell Model

This paper presents a new methodology to extract the unknown parameters of a single-diode photovoltaic (PV) cell model. The first contribution of this paper is the development and implementation of a new version of the wind-driven optimization algorithm, called an adaptive wind-driven optimization (AWDO) algorithm. The advantages of the AWDO algorithm are: 1) accurate extraction of the global values of the optimized PV parameters in changing weather conditions, which is achieved by building solutions from random operations; and 2) capability of handling the given complex multi-modal and multi-dimensional optimization problems. The second contribution is the identification of a generalization model to generalize the extracted parameters of a single-diode PV cell model. That provides an ability of the proposed methodology to work with any I–V characteristic curve of PV cells and at any weather condition on a 15-min basis. To validate the proposed methodology, it has been tested for 1307 I–V characteristic curves of a PV module at various weather conditions on a 15-min basis. Additionally, its accuracy and computational efficiency are verified and compared with five well-known existing extraction methods: Villalva's model, particle swarm optimization, biogeography-based optimization, Gang's model, and bacterial foraging optimization by both simulation and outdoor measurements. The results show that the AWDO algorithm can provide the extracted five parameters with an acceptable range of accuracy and faster than the aforementioned models. Therefore, the proposed methodology (AWDO based on Chenlo's model) can be confidently recommended as a reliable, feasible, valuable, and fast optimization algorithm for parameter extraction of a single-diode PV cell model.
DeepReco: Deep Learning Based Health Recommender System Using Collaborative Filtering

In today’s digital world healthcare is one core area of the medical domain. A healthcare system is required to analyze a large amount of patient data which helps to derive insights and assist the prediction of diseases. This system should be intelligent in order to predict a health condition by analyzing a patient’s lifestyle, physical health records and social activities. The health recommender system (HRS) is becoming an important platform for healthcare services. In this context, health intelligent systems have become indispensable tools in decision making processes in the healthcare sector. Their main objective is to ensure the availability of the valuable information at the right time by ensuring information quality, trustworthiness, authentication and privacy concerns. As people use social networks to understand their health condition, so the health recommender system is very important to derive outcomes such as recommending diagnoses, health insurance, clinical pathway-based treatment methods and alternative medicines based on the patient’s health profile. Recent research which targets the utilization of large volumes of medical data while combining multimodal data from disparate sources is discussed which reduces the workload and cost in health care. In the healthcare sector, big data analytics using recommender systems have an important role in terms of decision-making processes with respect to a patient’s health. This paper gives a proposed intelligent HRS using Restricted Boltzmann Machine (RBM)-Convolutional Neural Network (CNN) deep learning method, which provides an insight into how big data analytics can be used for the implementation of an effective health recommender engine, and illustrates an opportunity for the health care industry to transition from a traditional scenario to a more personalized paradigm in a tele-health environment. By considering Root Square Mean Error (RSME) and Mean Absolute Error (MAE) values, the proposed deep learning method (RBM-CNN) presents fewer errors compared to other approaches.
Effects of waterlogging stress on plant-pathogen interaction between Fusarium poae and wheat/ barley

Waterlogging stress is one of the abiotic factors which causes damage to crops affecting yield components and grain quality of wheat and barley. On the other hand, Fusarium poae is one of the most common Fusarium species isolated from wheat and barley. The aim of this study was to evaluate the effects of waterlogging and F. poae on disease parameters, yield components and grain quality of durum and bread wheat and barley. The experiment was carried out using pots under greenhouse conditions. Four treatments were applied: control/control (W0F0), control/F. poae (W0F1), waterlogging/control (W1F0) and waterlogging/F. poae (W1F1). The results showed that incidence, severity and FHB index of F. poae were higher in W0F1 compared to W1F1 suggesting that waterlogging treatment would be generating no favorable conditions for fungal growth. Therefore, yield components and grain composition and quality were significantly affected by the Fusarium presence and waterlogging treatment which could induce changes in parameters mainly related to the industrial quality of wheat and barley. These results highlight the behavior of wheat and barley under the combination of abiotic and biotic stress.
Grundlagen der Regelungstechnik : Analyse und Entwurf linearer und einfacher nichtlinearer Regelungen sowie diskreter Steuerungen

Aus den Besprechungen: "Dieses Werk mit betontem Lehrbuchcharakter ist fur Studierende der verschiedensten ingenieurwissenschaftlichen Fachrichtungen geschrieben worden. Auf wissenschaftlicher Basis ermoglicht es, sich anschaulich und praxisorientiert in die Prinzipien und methodischen Grundlagen der Regelungstechnik einzuarbeiten. " #"Messen und Prufen#. ". ". Die Abhandlung ist in jeder Beziehung voll gelungen. Nach Absicht des Autors hat sie betonten Lernbuchcharakter. Dem dienen auch 65 geschickt gewahlte Beispiele mit guten Bildern, die zum praxisnahen Selbststudium animieren. Insofern kann das Buch allen Studenten der Ingenieurwissenschaften und daruber hinaus allen, die an der Regelungstechnik Interesse zeigen, sei es zur Einarbeitung oder zur Wiederholung, uneingeschrankt empfohlen werden. " #"Regelungstechnik#""
Mise en oeuvre de nouveaux matériaux d’assemblage dans les modules multipuces de puissance (MCM)

L’introduction des composants grand gap dans le domaine de l’electronique de puissance requiert une optimisation de son environnement (packaging). En effet, les temperatures auxquelles peuvent etre utilises ce type de composants sont bien souvent plus grandes que celles supportables par le reste du module. De nouvelles techniques d’assemblage sont a l’etude et notamment certaines a base de frittage d’argent. Ces procedes presentent l’avantage de realiser l’assemblage a une temperature moderee (similaire a celle d’une brasure), mais toutefois inferieure a celle de fusion de l’argent. La temperature de fusion du joint d’attache reste celle du materiau massif (plus de 900°C pour l’argent). Cette technique permet donc de realiser des attaches pouvant fonctionner a tres haute temperature. Ce travail de these a porte sur la mise en oeuvre d’une attache de puce par frittage d’argent. Apres une etude des parametres du procede permettant d’obtenir la meilleure tenue mecanique (cisaillement), nous avons mis en evidence l’effet preponderant de la finition des pieces a joindre. Lorsque la finition du substrat est de l’argent, aucun probleme d’interface n’est observe et les assemblages sont fiables a t0 et en vieillissement. Generalement, la finition standard pour l’electronique de puissance est constituee d’une couche de nickel et d’or. Pour cette finition, le mecanisme semble different selon l’epaisseur d’or presente sur le substrat ainsi que l’atmosphere utilisee pour le traitement thermique ou encore la charge appliquee. Globalement, plus l’epaisseur d’or est importante, moindre est l’accroche. Ce comportement semble fortement lie a la diffusion extremement rapide de l’argent en surface de l’or (et dans l’or). Cette diffusion a pour consequence la formation d’une couche de solution solide or-argent. Cette couche a pour source de matiere les grains d’argent qui permettent l’adherence du joint d’argent fritte sur le substrat. Lorsque le volume d’or disponible pour la formation de cette couche est grand, la croissance de celle-ci est favorisee (en termes de surface et d’epaisseur). Cette croissance engendre une consommation des « piliers » d’argent et donc un affaiblissement de l’attache. L’application de pression semble augmenter fortement la concentration de piliers et ameliore les resultats, tandis que sous azote, la diffusion de l’argent en surface de l’or semble inhibee, permettant l’obtention de bons resultats (a t0 et apres cyclage). Ces resultats ont ete mis en pratique pour la realisation de plusieurs prototypes, dont l’un a ete teste electriquement et ce de facon fonctionnelle a plus de 300°C.
TREC Incident Streams: Finding Actionable Information on Social Media

The Text Retrieval Conference (TREC) Incident Streams track is a new initiative that aims to mature social media-based emergency response technology. This initiative advances the state of the art in this area through an evaluation challenge, which attracts researchers and developers from across the globe. The 2018 edition of the track provides a standardized evaluation methodology, an ontology of emergency-relevant social media information types, proposes a scale for information criticality, and releases a dataset containing fifteen test events and approximately 20,000 labeled tweets. Analysis of this dataset reveals a significant amount of actionable information on social media during emergencies (> 10%). While this data is valuable for emergency response efforts, analysis of the 39 state-of-the-art systems demonstrate a performance gap in identifying this data. We therefore find the current state-of-the-art is insufficient for emergency responders’ requirements, particularly for rare actionable information for which there is little prior training data available.
Stochastic Spacecraft Trajectory Optimization With the Consideration of Chance Constraints

This brief investigates a computational framework based on optimal control for addressing the problem of stochastic trajectory optimization with the consideration of chance constraints. This design employs a discretization technique to parameterize uncertain variables and create the trajectory ensemble. Subsequently, the resulting discretized version of the problem is solved by applying standard optimal control solvers. In order to provide reliable gradient information to the optimization algorithm, a smooth and differentiable chance-constraint approximation method is proposed to replace the original probability constraints. The established methodology is implemented to explore the optimal trajectories for a spacecraft entry flight planning scenario with noise-perturbed dynamics and probabilistic constraints. Simulation results and comparative studies demonstrate that the present chance-constraint handling strategy can outperform other existing approaches analyzed in this brief, and this computational framework can produce reliable and less conservative solutions for the chance-constrained stochastic spacecraft trajectory planning problem.
Glycemic Variability: Looking Beyond the A1C

In Brief Hyperglycemia in diabetes is known to be associated with both micro- and macrovascular complications. However, multiple studies have raised the question of whether variation in glucose levels, in addition to average glucose, might be a risk factor for these complications. This article summarizes the available data on glycemic variability and how they might contribute to complications in both type 1 and type 2 diabetes.
13 th Pacific-Rim Real Estate Society Conference Fremantle , Western Australia , 21 to 24 January 2007 An Investigation into the Responsiveness of LPT Returns and their Attributes

The Australian listed property sector has experienced substantial growth over the past decade. Relative to international property markets, Australia has the highest percentage of listed real estate and the highest proportion that makes up the total equity market in the world, hence, making it an important component of domestic financial markets. This study employs the Stone (1974) two factor asset pricing model to investigate the sensitivity of Listed Property Trust (LPT) returns to market and interest rate returns from 2000 to 2005, and the characteristics (namely, management structure, specialisation and the degree of financial leverage) that may be driving these sensitivities. Our results indicate an increase in the market risk profile of LPTs, suggesting an erosion of the defensive benefits of LPTs against stockmarket volatilities. The study also finds that the degree of financial leverage has a positive and significant impact on the level of market and interest rate risk for LPTs. There is also some evidence that the level of diversification across different property types in fact reduces market risk. 13 Pacific-Rim Real Estate Society Conference Ratcliffe and Dimovski
Comparison of CT Enterography with MR Enterography, and Utility of MRI Severity Index, in Crohn’s disease: A Retrospective Analysis

Background: CT (CTE) and MR (MRE) enterography have not compared in Crohn’s disease (CD) in Indian setting. Recently MRI severity index has been developed for objective assessment of inflammatory activity in CD. Aim: To compare CTE with MRE in CD with respect to diagnostic yield and impact on management and evaluate the utility of MRI severity index in CD. Methods: Records of 29 patients (median age 43 years, range 18 - 70 and standard deviation 15.36;15 female) with CD who underwent CTE and MRE using standard protocols were retrospectively analyzed. Inflammatory activity, stricture detection and costs were compared. The co-relation between clinical activity, biochemical markers (fecal calprotectin, serum C-reactive protein), and the MRI severity index was studied. Results: Fourteen patients had clinically active disease, 15 were in clinical remission. In patients with active clinical disease, MRE identified 14 percent more cases with abnormal imaging findings compared to CTE. Small bowel involvement was detected in 5 patients on CTE, 10 on MRE (p=0.133). Ileocolonic involvement was seen in 15 patients on CTE and 19 on MRE (p=0.28). Stricture was detected in 2 patients on CTE and 9 on MRE (p=0.01). In 17 patients, clinical management was altered based on abnormal MRE findings, giving 58.6% absolute increased yield of MRE over CTE. There was significant correlation between MRI severity index and disease activity (r=0.70, p<0.0001) and fecal calprotectin (r=0.52; p<0.003), but not CRP (r=0.03; p<0.1). Average cost for CTE was Rupees 9214 (INR) and 12121 INR for MRE. Conclusion: MRE was better than CTE in diagnosing stricture in CD. The MRI severity index correlated with clinical activity and fecal calprotectin.
NKEPHALIN RELEASE PROMOTES HOMEOSTATIC INCREASES IN ONSTITUTIVELY ACTIVE MU OPIOID RECEPTORS DURING ORPHINE WITHDRAWAL

bstract—We previously demonstrated that naloxone adminstration produces a robust conditioned place aversion (CPA) n opiate-naive rodents by blocking the action of enkephalins t opioid receptors (MORs). The aversive response to nalxone is potentiated by prior exposure to morphine. Morhine-induced MOR constitutive activity is hypothesized to nderlie this enhanced effect of naloxone, an inverse agonist t the MOR. We sought additional evidence for the role of onstitutively active MORs in this morphine-induced enancement using the pro-enkephalin knockout (pENK / ) ouse, which is devoid of naloxone CPA in the morphineaive state. Naloxone, but not the neutral antagonist, 6aloxol, produced CPA and physical withdrawal signs in ENK / mice when administered 2 h, but not 20 h, after orphine administration. Naloxone-precipitated physical ithdrawal signs were attenuated in the pENK / mice relaive to wild-type (WT) animals. In both WT and pENK / mice, aloxone-precipitated withdrawal jumping was greatest when aloxone was administered 2 h after morphine treatment and iminished at 3 h, in agreement with previous estimates of he time course for morphine-induced MOR constitutive acivity in vitro. However, naloxone regained an ability to preipitate physical withdrawal in the WT, but not the pENK / ice when administered 4.5 h after morphine administration. aken together, the data suggest that a compensatory inrease in enkephalin release during spontaneous morphine ithdrawal promotes a second period of MOR constitutive ctivity in WT mice that is responsible for the enhanced aloxone aversion observed in such animals even when nalxone is administered 20 h after morphine. The endogenous nkephalin system and MOR constitutive activity may thereore play vital roles in hedonic homeostatic dysregulation ollowing chronic opiate administration. © 2007 Published by lsevier Ltd on behalf of IBRO.
A Simple, Model-Independent Analysis of Reasons for Non-Fulfillment of the Declared Inflation Target

In the period 1998-2007, inflation very often deviated from inflation targets of the Czech National Bank, most of these deviations being in the direction of undershooting the targeted level. In this paper, a purely statistical, model-independent procedure is used to search for an answer to the question of whether this clear asymmetry in inflation target fulfillment can be explained more by an asymmetry in outside shock or an asymmetry of the Czech National Bankâ€™s monetary policy. Our results indicate that the latter explanation is statistically more persuading. For the period since 2002, moreover, it looks like the decisions of the Czech National Bankâ€™s Bank Board more or less sticked to the recommendations implicit in materials supplied by the Bankâ€™s forecasting team; the bias in this second period, at least, can therefore be ascribed to the Bankâ€˜s forecasting apparatus rather than preferences of the Bank Board as revealed in its monetary policy decisions.
Effects and Mechanisms of Tea and Its Bioactive Compounds for the Prevention and Treatment of Cardiovascular Diseases: An Updated Review

Cardiovascular diseases (CVDs) are critical global public health issues with high morbidity and mortality. Epidemiological studies have revealed that regular tea drinking is inversely associated with the risk of CVDs. Additionally, substantial in vitro and in vivo experimental studies have shown that tea and its bioactive compounds are effective in protecting against CVDs. The relevant mechanisms include reducing blood lipid, alleviating ischemia/reperfusion injury, inhibiting oxidative stress, enhancing endothelial function, attenuating inflammation, and protecting cardiomyocyte function. Moreover, some clinical trials also proved the protective role of tea against CVDs. In order to provide a better understanding of the relationship between tea and CVDs, this review summarizes the effects of tea and its bioactive compounds against CVDs and discusses potential mechanisms of action based on evidence from epidemiological, experimental, and clinical studies.
Controversies for Glucose Control Targets in Type 2 Diabetes: Exposing the Common Ground

Glycated hemoglobin targets have been given in guidelines for the last three decades, mostly without change at around 6.5–7.0% (47–53 mmol/mol). Personalization of such targets has also long been advocated, but often with little and inappropriate guidance. More recently some have suggested higher targets might be indicated, and more specifically lower targets avoided, even in those in whom they are easily attained without seeming burden or risk. Prospective data from randomized and observational studies, in people with type 2 diabetes and indeed those without diabetes, find cardiovascular and mortality risk are uniformly lowest at lower levels including into the normal range. In some studies with large populations, a high proportion of people are found to attain such levels, and the UK Prospective Diabetes Study (UKPDS) and more recent studies appear to confirm the importance of starting low and continuing long. Studies of cardiovascular events and mortality in people with diabetes will already factor in any effect of hypoglycemia, which therefore should not be double-counted in setting targets. Nevertheless, some factors should lead to modification of target levels, and these will include experience of hypoglycemia where therapy change and glucose monitoring cannot ameliorate it and sometimes prospectively in those at social or occupational risk. The fact that clinical experience will modify targets emphasizes that targets will not be stable over time but will change, for example, with occurrence of adverse events or perceptions of increase/decreased burden of therapy. The evidence suggests that glucose control takes 5 years or more to have any impact on vascular outcomes or mortality, so targets may also be higher in those with shorter life expectancy or higher health burden or simply reflect individual preferences. This article discusses the evidence behind these conclusions.