Miracle-dz/UniFAR-FTUs huggingface dataset:
Daily life patients Sentiment Analysis model based on well-encoded embedding vocabulary for related-medication text

Millions of health-related messages and fresh communications can reveal important public health issues. New Drugs, Diseases, Adverse Drug Reactions (ADRs) keep appearing on social media in new Unicode versions. In particular, generative Model for both Sentiment analysis (SA) and Naturel Language Understanding (NLU) requires medical human labeled data or making use of resources for weak supervision that operates with the ignorance and the inability to define related-medication targets, and results in inaccurate sentiment prediction performance. The frequent use of informal medical language, nonstandard format and abbreviation forms, as well as typos in social media messages has to be taken into account. We probe the transition-based approach between patients language used in social media messages and formal medical language used in the descriptions of medical concepts in a standard ontology[21] to be formal input of our neural network model. At this end, we propose daily life patients Sentiment Analysis model based on hybrid embedding vocabulary for related-medication text under distributed dependency, and concepts translation methodology by incorporating medical knowledge from social media and real life medical science systems. The proposed neural network layers is shared between medical concept Normalization model and sentiment prediction model in order to understand and leverage related-sentiment information behind conceptualized features in Multiple context. The experiments were performed on various real world scenarios where limited resources in this case.
Semantic Role Labeling for Opinion Target Extraction from Chinese Social Network

Social network is a good resource to collect public opinions considering the diversity and variety in fashion, especially user generated content (UGC). Extracting the opinions from UGC can be the base of commercial policy, so how to extract the opinions correctly is an important problem. However, there are two problems: Are the opinions really talking about the target entities? Or the amount of opinions is enough for network volume analysis? In this study, we combine rule-based method and Semantic Role Labeling (SRL) to detect the opinion target (OTD) from UGC. In SRL task, we design a neural network model to extract the opinion words. Considering gradient vanish problem, we use highway connection to control the percentage of data. To improve the performance of SRL, we use additional features to help model learn the features between verb and other phrases. Finally, we design a rule to filter the result of SRL for OTD task. The experimental results show that our SRL model obtains 71% F1, and our method on OTD task obtains 73% precision which outperforms LTP. This research can be the basis of hot topic prediction for sponsors and helps them to decide marketing strategies
Soziale Netzwerke und Persönlichkeit

Zusammenfassung Soziale Netzwerke stellen eine wichtige Ressource über den gesamten menschlichen Lebensverlauf dar und sind altersassoziierten und kulturell bedingten Veränderungen unterworfen. Sie stehen darüber hinaus in enger Wechselwirkung mit den individuellen Besonderheiten, d. h. der Persönlichkeit, der sozialen Akteure. In diesem Beitrag werden diese Wechselwirkungen im Kontext von Partnerschaft, Freundschaft und Verwandtschaft beschrieben und deren zugrundeliegende psychologische Prozesse dargelegt. Darüber hinaus wird argumentiert, dass mit dem fortschreitenden gesellschaftlichen Wandel die Bedeutung der Persönlichkeit für die Gestaltung sozialer Beziehungen zunehmen wird. Implikationen dieser psychologischen und gesellschaftlichen Dynamik für die Praxis der Rehabilitation und Prävention werden diskutiert.
NEW GROWTH AGENDA

The report and associated papers outline a strategy that could seize the opportunity provided by the country’s successful macroeconomic stabilization to boost growth to 7 percent a year, nearly double its current rate of 3-4 percent. Serbia is well-positioned to turn itself into a fast-growing, sophisticated, modern economy, that, driven by its private sector, catches up rapidly with peers in Central and Eastern Europe and converges with the EU. With an ambitious new growth strategy, this vision of Serbia is entirely within reach.
Self-Organizing-Maps based Sensor Fusion Algorithm for Quadrocopter Hover Control

This master’s thesis presents research into the possibilities of biologically-inspired sensor fusion for a quadrotor based on the Self-Organizing Map algorithm. A series of different approaches help clarify the importance of correlated input data and the integration of temporal aspects into the Self-Organizing Map (SOM) algorithm. One approach in particular, the vector-quantized temporal associative memory (VQTAM), combines two important aspects: sensor fusion by association and a temporal perspective. On the basis of VQTAM, the fusion of sensor data recorded from the AR.Drone is successfully attempted. A variation of the algorithm is shown to produce estimates comparable to the on-board Kalman filter of the AR.Drone. The experiments are supported by ground truth data recorded using a 3-D tracking system.
DISCRETE LOGARITHMS AND THEIR EQUIDISTRIBUTION

Let p be a prime number. We identify Fp with the set Z/pZ = {0, 1, . , p−1}. Let g be a primitive root modulo p. For x ∈ Fp\{0}, the discrete logarithm problem requires finding the least nonnegative integer n such that g ≡ x mod p. Because g is a primitive root, such an n exists, and it lies in the interval [0, p−1). In the sequel, we write n = logg x = log x, and we call n the discrete logarithm of x to the base g. Discrete logarithms, of considerable importance in cryptography (see Diffie and Hellman [3]), should exhibit various types of random behavior. Here, we answer a question raised by Cobeli [2] concerning the discrete logarithm along arithmetic progressions. To be precise, consider integers a ≥ 0, d > 0, andN > 0, and define J = {a+ d, . , a+Nd} ⊂ [1, p− 1]. (1) We show that, for fixed g, r ≥ 2, the tuples (
Forest Nursery Pests: Damping-off

Damping-off is a historical term that refers to the decay of germinating seeds and the stems of young seedlings (Figure 1A). It is also one of the oldest nursery problems—damping-off is the only disease discussed in detail in the classic nursery manual Nursery Practice on the National Forests (Tillotson 1917). Damping-off was considered “the most serious difficulty encountered in raising coniferous seedlings”, and was the subject of one of the first comprehensive nursery pathology studies (Hartley and Pierce 1917). This early research revealed that lowering the pH of nursery soils helped to reduce damping-off losses, which at that time involved applying sulfuric acid directly to the seedbeds—a technique that would be frowned-upon today (Figure 1B).
Vitamin Eの発達薬理学的研究 第1報Vitamin Eの胎仔におよぼす影響に関する研究

1) This study was undertaken to ascertain the difference between, the control group (0.75mg/day/rat) and experimental groups (7.5 and 75mg/day/rat) regarding the effect of vitamin E. 2) Mother's body wt. was remarkably decreased in the 75mg/day/rat-group. Pregnancy rate was slightly lower in the 7.5mg/day/rat-group and was 50% in the 75mg/day/rat-group. 3) Implantation condition of pregnant mothers was slightly less in the experimental group. 4) Slight ossification retardation in fetus of occipital bone and sternebrae was generally observed in the experimental group. 5) Abnormalities in appearance and skeleton were not observed. 6) Effect of vitamin E on the fetus was induced in the 75mg/day/rat-group, but abnormalities in appearance were not observed.
Repeat Ectopic Pregnancy in Ipsilateral Fallopian tube after Laparoscopic Corneal Resection for an Interstitial Pregnancy: Case report and Literature Review

: An interstitial pregnancy accounts for only 1-2.5% of tubal pregnancies; however, the incidence of interstitial pregnancies is increasing as a result of artificial reproductive technology and the spread of sexually transmitted diseases such as Chlamydia tracomatis. Because of the difficulty of early diagnosis, the mortality rate of interstitial pregnancies is higher than that of other sites. We report a rare case of repeat ectopic pregnancy in the ipsilateral fallopian tube after laparoscopic wedge resection for an interstitial pregnancy. The patient is a 32-year-old gravida 1, para 0 woman. She suffered a left-sided interstitial pregnancy and underwent a left cornual wedge resection via laparoscopic surgery two years earlier. She presented at our hospital with the chief complaint of lower abdominal pain at 7 weeks of gestation; an ectopic pregnancy was suspected. We performed laparoscopic surgery and discovered that her left fallopian tube was swollen, which was indicative of a tubal pregnancy; therefore, we performed a left salpingectomy. The patient’s postoperative course was uneventful and she was discharged on postoperative day 5. Her serum hCG decreased, and pathology revealed products of conception in the fallopian tube. In view of this case, we recommend that a salpingectomy should be performed when interstitial pregnancy is found in order to avoid an ipsilateral tubal pregnancy.
COPD_A_205382 1119..1125

Department of Respiratory Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, People’s Republic of China Abstract: Chronic obstructive pulmonary disease (COPD) has become one of the major public health problems worldwide due to its high morbidity and mortality. Up until now, COPD is still under-diagnosed and under-treated, especially for mild or moderate patients. It is widely accepted that the majority of patients with COPD are in the early stages, yet this subpopulation is underestimated. In recent years, growing evidence indicates that substantial physiological and clinical abnormalities exist in patients with mild COPD compared with healthy controls. Furthermore, recent studies suggest that pharmacologic intervention in early COPD has the potential to alter clinical outcomes. The main objective of this review is to summarize recent research regarding the heterogeneous pathophysiology, clinical features, and treatment of mild and moderate COPD. We also discuss promising markers of disease progression, which may contribute to the development of precision medicine in early COPD.
Volatility Jump Risk in the Cross-Section of Stock Returns

Jumps in aggregate volatility has been established as an important factor affecting the volatility dynamic, the market index price, and the index option price. However, whether it affects the price of other assets is still an open question. This paper provides supportive evidence in the individual equity market. We use a VIX option portfolio to measure the volatility jump risk and test whether it is priced in the cross-section of stock returns. We find a significant negative risk premium associated with the volatility jump risk and it is robust after controlling for a bunch of systematic risk factors.
Potential Cycling Effects on Activities of Nickel-Mediated Benzyl Alcohol and Glycine Electrooxidation in Alkaline Solutions

Nickel electrodes under continuous potential cycling were applied for the electrooxidation of benzyl alcohol and glycine in KOH solutions, and their activities were measured and compared by cyclic voltammetry. It is shown that intrinsic activities of both reactions decrease with the increasing catalyst loadings, and a more significant decreasing trend was observed in glycine electrooxidation when compared to benzyl alcohol electrooxidation. These phenomena may be explained by an increasing of mass loading induced a decrease of the catalyst surface conductivity, structure changes of Ni(OH)2 from α-phase to β-phase, and the intercalation of glycine molecules into nickel hydroxide interlayers.
Logotype Detection in Streaming Multimedia Using Apache Storm

The massive amount of multimedia information currently available through the Internet requires efficient techniques to extract knowledge from data. Indeed, processing video information using real-time Big Data techniques is currently a challenge for the existing data processing frameworks. This paper proposes and evaluates different topologies for logotype detection in streaming multimedia implemented by means of open-source libraries and supported by the Apache Storm distributed realtime computation system. Different data movement strategies across the topologies are defined and evaluated. An experimental analysis that involves logotype detection in an excerpt of the Formula One Suzuka Japan Grand Prix 2015 is performed. The results indicate that logotype detection in videos can greatly benefit from the distributed computing capabilities offered by Apache Storm.
Hybrid Metaheuristic Optimization Approach: Theory and its Application

Mathematical optimization or mathematical programming is the selection of the best element from some set of available alternatives. Optimization problems of sorts arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries. In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations constitutes a large area of applied mathematics. More generally, optimization includes finding "best available" values of some objective function given a defined domain (or input), including a variety of different types of objective functions and different types of domains.
A General Theory of Sustained Growth with Co- Existing GPTs

In this paper we generalize the single-GPT growth model first developed for Lipsey and Carlaw (2006) and subsequently elaborated for Lipsey, Carlaw and Bekar (2005) to cover any number of GPTs. The model has three main sectors: a consumption goods sector that uses the results of applied research in its production function, an applied research sector that uses the GPTs invented by the pure research sector in its production function that is used to produce applied knowledge that is in turn used in the production of both consumption goods and pure knowledge, and a pure research sector that produces pure knowledge that occasionally results in the discovery of a new GPT. All three sectors also use the economy’s scarce resources in their production processes. The full potential of any new GPT diffuses to the applied research sector according to its own logistic diffusion process. In this model, there can be as many pure research activities, as many GPTs, as many applied R&D activities, and as many consumption goods as desired. Simulation of the model matches the accepted stylized growth facts and demonstrates the model’s potential for addressing important growth policy questions such as what is the appropriate mix between applied and pure R&D support for sustained long term economic growth.
Investigations on Novel Ternary Green Polymer Composite

In this study, the novel ternary green polymer composites of poly(l-lactic acid) (PLLA)/poly(ethylene adipate)/hexagonal boron nitride (PLLA/PEA/h-BN) were synthesized and prepared. The crystallization rate of the biodegradable polymer PLLA in the composite was significantly increased with the addition of PEA and functional h-BN. In ternary PLLA/PEA/h-BN composites, PEA can be used as a plasticizer, while h-BN is a functional nucleation agent for PLLA. The analysis of the isothermal crystallization kinetics by the Avrami equation shows that the rate constant k of the ternary PLLA/PEA/h-BN composite represents the highest value, indicating the highest crystallization in the ternary composite. Adding h-BN in the composite can further increase the k value and increase the crystallization rate. Polarized optical microscopy (POM) images reveal that h-BN is an effective nucleation agent that increases the nucleation density of composites. Analysis of wide-angle X-ray diffraction (WAXD) further confirmed that the crystalline structures of PLLA were unchanged by the addition of PEA and h-BN. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) images show that the h-BN particles are uniformly distributed in the composite. The distribution of h-BN having a particle size of a few hundred nm causes an effective nucleation effect and promotes the crystallization of the ternary composites.
Heritability and genetic gain of some morpho-physiological variables of durum wheat (Triticum turgidum var. durum).

The purpose of this work is to estimate genetic variability parameters and relationship among 11 agrophysiological traits studied on 18 experimental durum wheat and two checks under rainfed condition. The studied traits included the grain yield (YLD), plant height (PH), number of tiller per plant (NT), peduncle length (PL), flag length (FL), leaf dry weight (LDW), stem dry weight (STW), spike dry weight (SPW), spike height (SH), leaf area index (LAI), crop growth rate (CGR), relative growth rate (RGR), leaf area ratio (LAR) and net assimilation rate (NAR). Analysis of variance showed a significantly variation among genotypes for the characters PH, NT, PL, FL, LDW, STW, SPW, SH, LAR and NAR. High correlations were found among the PL, LDW, STW, SPW, LAR and NAR. Heritability estimates were high for PH, PL, LDW, STW and NAR. High genetic gains were observed for YLD, NT, PL, LDW, STW, SPW, LAR and NAR.
ALDH3B2 Polymorphism Is Associated with Colorectal Cancer Susceptibility

Colorectal cancer (CRC) is the 5th leading cancer in China. Alcohol consumption has been reported to be one of the risk factors of CRC. However, it remains unclear whether genetic variants of alcohol metabolic genes are associated with CRC risk. In this study, we tested the coding variants in the alcohol metabolic genes and the risk of CRC, by using 485 cases and 516 controls. A total of 16 germline coding variants in 10 alcohol metabolic genes were genotyped. We identified that rs3741178 in ALDH3B2 was significantly associated with CRC risk with odds ratio being 2.13 (95% CI: 1.24–3.68, P=0.0064). Further functional annotation suggested that this variant may damage the protein function of ALDH3B2. Our results suggested that ALDH3B2 in the alcohol metabolism pathway contributed to the development of CRC, which may contribute to the prevention of this disease in the future.
Determinants of Capital Structure: A Case of Life Insurance Sector of Pakistan

Current study investigates the impact of firm level characteristics on capital structure of life insurance companies of Pakistan. For this purpose, leverage is taken as dependent variable while profitability, size, growth, age, risk, tangibility of assets and liquidity are selected as independent variables. The result of OLS regression model indicates that size, profitability, risk, liquidity and age are important determinants of capital structure of life insurance companies.
Advances Power Efficiency of an Arithmetic Logic Unit through Size and Design

In this paper various Arithmetic Logic Unit (ALU) designs and their metrics are discussed. The metrics found were used to investigate any trends in size and power efficiency within each design. Chip size, number of bits (operands), and the power efficiency were the main metrics measured for the researched ALU designs. Many of the designs cited span over 14 years of research and provide significantly different approaches. The ALU design using Probabilistic Domain Transformation is one of the most abstract ALU designs discussed. Another design that uses a unique approach is the QCA full adder. Both designs offer a different perspective on ways to improve ALU design. Keywords— Arithmetic Logic Unit, operand, probabilistic, clock rate, floating point unit, ITRS, chip size, power efficiency
Towards SLA-driven Management of Cloud Infrastructures to Elastically Execute Scientific Applications

This paper summarizes the works towards a Service Oriented Architecture to abstract the execution of scientific applications under different programming models, with a special focus on High Throughput Computing. The platform features SLA-aware capabilities based on WSAgreements and the ability to deploy customized virtual infrastructures with support for different IaaS Cloud providers. The proposed architecture features both horizontal (scale in/scale out) and vertical (scale up/scale down) elasticity capabilities in order to automatically fit the virtual infrastructure to the dynamic computing requirements of scientific applications. An overview of the platform is described, together with the current implementation state and issues to be considered.
Progress report on Electrical Metrology at VSL ( 2017 – 2019 )

AC Josephson Within the JRP “QuADC” (started in 2016) VSL is working on the practical and theoretical aspects of quantum waveform metrology, including generation of arbitrary Josephson signals, the deviation problem of voltage leads at higher frequencies, a Josephson delta-sigma converter, voltage scaling and uncertainty calculations. The work has focused on the problem of measuring AC voltages up to 1 MHz, for which the length of the voltage leads in the cryoprobe is the major problem for obtaining low uncertainties. Impedance matching was proposed as a new solution and the practical details have been simulated, showing that uncertainties on the order of 10 ppm are within reach for frequencies up to 1 MHz [1]. Simulations have been performed using a simplified procedure as well; presently the theoretical predictions are being verified in real measurements, using an extra 50 Ω termination resistance close to the array and measuring the AC voltage using a semirigid coaxial cable.
Aronia (Chokeberry): an underutilized, highly nutraceutical plant

Only a small number of plants have been widely used regularly for food, fibers, shelter, industrial, cultural and medicinal purposes. The remaining plant diversity, terrestrial or marine, is underutilized. We summarize previous research done on the various aspects of North American native plant Aronia, which has many compounds in the berries and leaves that are potentially beneficial for human health. Berries can be processed into many value- added products giving a boost to the local economy. Micromorphological studies indicate three types of trichomes present on the leaves that are positive to diphenyl boric acid- β -ethylamino ester (DPBA) reaction suggesting presence of secondary metabolites. These features can help taxonomists to solve classification problems among various Aronia species and trichomes can be utilized for biotransformation studies. We conclude that Aronia berries and leaves are rich in total polyphenol and flavonoid content that enables the plant to register higher antioxidant activity in comparison to many other culinary herbs and medicinal plants in use. A systematic study covering agronomy, phytochemistry, product development and economic return potential is suggested based on a review of literature.