Miracle-dz/UniFAR-FTUs huggingface dataset:
Antineoplastic Activities of Functionalized Gd@C82 Nanomaterials via Targeting Tumor Vasculature

It is certain that tumor vasculature plays a crucial role in tumor growth and metastasis with unique physiological features. Up to date, rational design of tumor therapeutics targeting tumor blood vessels has become a consensus strategy. However, the current small molecular anti-vascular drugs are always accompanied by toxicity or side effects. It is still necessary to develop novel medication with high efficacy and low toxicity. Gadofullerene (Gd@C82), a novel star material, has been exploited in many different biomedical fields after functionalized. Specially, the highly efficient antitumor effects of functionalized Gd@C82 were explored extensively by suppressing tumor angiogenesis or cutting off the existing tumor vasculature under radiofrequency (RF) irradiation. And studies demonstrated that no detectable toxicity was observed with functionalized Gd@C82 usage. This paper gives an overview of the antineoplastic activities of functionalized Gd@C82 nanomaterials via targeting tumor vasculature.
Optimizing the Cement Compressive Strength Prediction by Applying Coupled Linear Models

This study is aiming to search the optimum settings of two kinds of dynamic linear models predicting cement typical strength and afterwards to couple them to achieve optimality. The modeling is based on physical and chemical characteristics and on the early strength of the Portland cement types studied. More than 3000 sets of industrial results were used for this purpose. Models parameters are calculated using a moving past period of length TD and are tested in a future period of length TF. The moving period characterizing the dynamical models attempts to assure that changes in the process are taken into account during the parameters calculation. Among the models the coupled one is noticeably superior as regards the mean square residual error. The implementation of these methods in the daily quality control is an essential factor of quality improvement by maintaining a low variance of typical strength. Key-Words: Strength, Model, Cement, Dynamic, Prediction, Quality Control
THE WEAK FORM EFFICIENT MARKET HYPOTHESIS IN THE NIGERIAN STOCK MARKET : AN EMPIRICAL

The study empirically examined the presence of weak form efficiency in the Nigerian stock market using time series data, 1985-2014. The data used to conduct this research is the All Share Index (ASI) converted to stock market returns. Time series econometrics techniques were conducted for the analysis. The study reveals that the large differences between the Mean and Standard deviation of the variables in the descriptive statistics suggest that the stock market is highly risky. The study shows that in the recent period, 2011 to 2014, it is found that stock returns are normally distributed. The results of the test of serial independence or randomness as obtained from Runs ADF tests show that in periods 1985 to 1992, 1993 to 1999, 2000 to 2010 and the whole period 1985 to 2014, the Nigerian stock market is dependent and not random thus inefficient, which indicate that investor can predict the markets returns. However, stock returns for period 2011 to 2014, market follow random walk, so investor cannot predict the market returns in the period. Finally, the result shows that previous stock market return has 15% positive relationship, and 0.23 0.23% predictive powers. Thus the study concluded that the NSE was not efficient in the weak form between 1985 and 2010, however, it has become efficient from 2011 up to 2014.
Occlusion of lateral aneurysm in common carotid artery of rabbits with flow-diverting stent

Objective: To assess the feasibility of flow-diverting stent in the treatment of lateral aneurysm models in common carotid artery of rabbit. Methods: Ten rabbits were included in our study. Six of nine successful experimental aneurysms were treated with flow-diverting stents, the other three aneurysms were untreated as controls. Angiography was performed immediately and 28 days after the procedure. Aneurysm and stented arteries were removed with animal alive for histopathological examination. Results: Before stent placement angiography of the common artery showed round saccular side-wall aneurysms and complex pattern of flow. Immediately after stent placement the aneurysms were still visible and the stented common carotid arteries remained patent, but the time for the contrast agent in the aneurysm was longer, the complex pattern of flow disappeared. 28 days after stent placement the aneurysms were no longer visible and the stented common carotid arteries remained widely patent. All controlled aneurysms and common carotid arteries have been patent and unchanged for 28 days. Histological analysis indicated that all treated aneurismal pouches were almost filled with thrombus as well as fibrotic reactive scar tissue. Stent wires were found to be located within the vessel wall and encased by an extension of the tunica intima. The endothelium was almost mature at 28 days, and various degrees of degenerate cells were seen under the transmission electron microscopy. Conclusions: The occlusion of lateral aneurysm in common carotid artery of rabbit with flow-diverting stent is safe and effective.
The association and clinical predictive value of resting heart rate and hypertension on cardiovascular autonomic neuropathy in general population

Objective: The purpose of this study was to explore the extent of associations of cardiovascular autonomic (CAN) with hypertension (HT) and resting heart rate (HR), and to evaluate the predictive value of HT combined with HR on CAN in a large sample derived from a Chinese population. Methods: We conducted a large-scale, crosssectional study among 2092 subjects. CA function was measured by using short-time heart rate variable test. CAN was diagnosed on at least two abnormal CA function tests. The associations of CAN with HT and resting HR were assessed by a multivariate logistic regression (MLR) analysis. The area under the receiver-operating characteristic curve was used to evaluate the predictive performances of both factors. Results: A tendency toward increased CAN prevalence with increasing resting HR was reported (P for trend < 0.001). MLR analysis showed that HT and resting HR were very significantly and independently associated with CAN (β = 0.439 for HT and β = 0.946 for HR, P < 0.001 for both). Resting HR and it combined HT (HT-HR) strongly predicted CAN (AUC = 0.719, 95% CI: 0.690-0.748, P < 0.001 for resting HR and AUC = 0.743 95% CI: 0.715-0.770, P < 0.001 for HT-HR). Conclusion: Our findings signify that, in the general Chinese population, HT and resting HR had a high value in predicting CAN.
How Much Does Formula vs. Chaining Matter for a Cost-of-Living Index? The CPI-U vs. the C-CPI-U

A large economics literature has debated the best formula to estimate a cost-ofliving index (COLI). This study shows that formula does not matter for many purposes for an index chained at a monthly frequency once chain drift has been removed. Spurious chain drift is removed with a new method revealing the large majority of the difference between the CPI-U and the C-CPI-U (a COLI) is due to the CPI-U weights effectively chaining at the biennial frequency, rather than the difference in formula assumptions. This suffi ciently justifies the C-CPI-U and similar chained indexes while also showing their assumptions are not critical. (C43, C82, E31)
Application of Augmented Reality Technology for Anesthesiology Major

Clinical teaching of anesthesiology occupies a very important position in the training of medical students, and it is of great significance for training high-quality anesthesiologists. The training of anesthesiologists requires a rich knowledge framework, a large number of case teachings, and many practices. And then, it can cultivate a qualified anesthesiologist. In this paper, taking augmented reality technology as a starting point, the use of the teaching method of multimedia technology combine the real medical scene with virtual assistant technology, which provides a perfect application system for medical students, hoping to train excellent anesthesiologists. Keywords—clinical anesthesia; teaching; augmented reality technology; facial recognition
The relationship between land surface temperature and local climate zone classification : A case study of the canton Geneva , Switzerland

In recent years, urbanization is widely turning into a vital issue due to its impacts on urban climate. It results in many critical problems, such as climate change, air and water pollution, and mainly a well-known phenomenon called Urban Heat Island (UHI), which is defined as the difference of temperature between urban and its surrounding rural areas. The objective of this study is to explore the land surface temperature (LST) differences between urban and rural areas and its relationship with surface characteristics. Accordingly, Landsat8 images were used to obtain a LST map as well as a Local Climate Zone (LCZ) classification map. LCZ is a standard climate-based classification system, which divides the areas according to a surface’s physical and thermal properties. Statistical and spatial analysis were used to explore the autocorrelation between LST and LCZ, and the results illustrate that the highly urbanized areas are associated with the highest LST, and areas with dense trees with lowest LST. Interestingly open urban areas with trees around them showed less LST compared to areas with low plants, which can be interpreted in the sense that the effect of trees in cooling strategies is stronger compared to low plants (grass for instance); however, further investigation is required.
Neural network model in digital prediction of geometric parameters for relative position of the aircraft engine parts

The quality of aircraft and rocket engines depends primarily on the geometric accuracy of assembly units and parts. Mathematical models implemented in the form of computer models are used to predict quality indicators (in particular, assembly parameters). Direct modeling of the conjugation process using numerical conjugation and finite-element models of assemblies requires significant computational resources and is often accompanied by problems convergence of solutions. In order to solve the above problems, it is possible to use neural network models describing the main regularities of the pairing process based on the accumulated results. The work presents a neural network model for predicting assembly parameters of the parts based on the use of actual surfaces of the parts obtained as a result of mathematical modeling. Assembly on conical surfaces is considered. A convolutional neural network was used to predict assembly parameters.
The development and support of geometric and spatial concepts in preschool- and kindergarten-aged children

The purpose of the literature review is to discuss the development of geometric and spatial concepts in preschooland kindergarten-aged children. This development can be seen through the children's mental and manual rotation, as well as children's experiences with spatial reasoning. The factors that influence these concepts, such as spatial talk and spatial play are also examined. This review identifies ways that teachers can support the development of geometric and spatial concepts in the classroom, such as exposure to materials, pedagogy, interventions, and their own professional development. The conclusion of this literature review synthesizes the evidence, discusses recommendations, and provides planning for future research.
Cyber Terrorist Detection by using Integration of Krill Herd and Simulated Annealing Algorithms

This paper presents a technique to detect cyber terrorists suspected activities over the net by integrating the Krill Herd and Simulated Annealing algorithms. Three new level of categorizations, including low, high, and interleave have been introduced in this paper to optimize the accuracy rate. Two thousand datasets had been used for training and testing with 10-fold cross validation for this research and the simulations were performed using Matlab®. Based on the conducted experiment, this technique produced 73.01% accuracy rate for the interleave level; thus, outperforming the benchmark work. The findings can be used as a guidance and baseline work for other researchers with the same interest in this area.
A VORTICITY , ENSTROPHY , MASS AND ENERGY CONSERVING DISCRETIZATION FOR INCOMPRESSIBLE EULER EQUATIONS

This system models the flow of an inviscid, incompressible fluid with constant density. It is widely known that under the hood this system is rich in geometric structures [1]. This richness cannot be ignored while discretizing the equations because of its connection with secundary conservation laws, i.e. enstrophy and kinetic energy. It is therefore important that the numerical scheme is compatible with these structures, that is to mimic them. The connection between physics and geometry is not unique to the motion of a perfect fluid but it can be found in any physical system [2, 3]. An extended review for the importance of preserving physical invariants for fluid flows can be found in [4]. A review of the framework used on this work can be found in [5].
Text Mining Methods Applied to Insurance Company Customer Calls: A Case Study

The purpose of this case study is to develop a process for a U.S. personal lines insurance company to improve its customer service, make call center operations more efficient, and reduce costs by analyzing customer calls. Text mining methods such as topic modeling and sentiment analysis are used to study approximately 10,000 nonclaim customer calls from 2016. Results show the most frequent topics of calls and how customer sentiment differs between topics, which will allow the company to adjust its customer service accordingly.
Standing Postural Control during Twin Pregnancy : Case Study

Background: Alterations in anatomical and physiological conditions during pregnancy expose women to changes in balance control, which may be further exacerbated with a twin pregnancy. The purpose of the current study was to describe the changes in postural stability during twin pregnancy. Methods: Evaluation of postural control in static standing of one participant with a twin pregnancy was carried out,by using a Tetrax device measuring stabilometry in eyes open and closed conditions. A non pregnant control was used measure retest variability. Scores of Falling Index, General Stability, weight distribution pattern and center of pressure's path were measured during each month of pregnancy and twice following delivery for the pregnant participant, and during three assessments – one each month, for the control participant. Results: The Falling Index score rose mainly during the third trimester with the change larger than the variability shown with retesting, and didnot return to baseline even three months after delivery. In addition, the location of center of pressure moved in accordance with the changes of the fetuses’ weight. Conclusion: As postural balance strategy changes, particularly in the third trimester, and does not recover in the following few months after delivery, particular caution should be taken to prevent falling during these periods. Further research comparing singleton to multiple pregnancies should be conducted.
Design and dSpace interfacing of current fed high gain dc to dc boost converter for low voltage applications

In this paper a current fed interleaved DC - DC boost converter which has an isolated topology and used for high voltage step up is proposed. A basic DC to DC boost converter converts uncontrolled DC voltage into controlled DC voltage of higher magnitude. Whereas this topology has the advantages of lower input current ripple, lesser output voltage, lesser stress on switches, faster transient response, improved reliability and much lesser electromagnetic emission over the conventional DC to DC boost converter. Most important benefit of this interleaved DC to DC boost converter is much higher efficiency. The input current is divided into two paths, substantially ohmic loss (I2R) and inductor ac loss gets reduced and finally the system achieves much higher efficiency. With recent mandates on energy saving interleaved DC to DC boost converter may be used as a very powerful tool to maintain good power density keeping the input current manageable. Higher efficiency also allows higher switching frequency and as a result the topology becomes more compact and cost friendly. The proposed topology boosts 48v DC to 200 V DC. Switching frequency is 100 kHz and PSIM 9.1 Platform has been used for the simulation.
Working Paper Series Fiscal reaction function and fiscal fatigue : evidence for the euro area

This paper estimates a fiscal reaction function (FRF) framework for euro area countries and derives a novel approach to measure fiscal fatigue. As in previous studies, we find evidence that euro area sovereigns abide, on average, by (weak) sustainability constraints. The primary balance improves by about 0.03–0.05 for every 1 percentage point increase in the debt-to-GDP ratio after controlling for other relevant factors. The positive reaction of primary surpluses to higher debt strengthened over the crisis. Based on this framework, we propose a simple, practical measure of fiscal fatigue that can be used to assess the capacity of sovereigns to maintain primary surpluses over extended periods of time. This measure can be derived by comparing simulated primary balance paths in the context of debt sustainability analyses with countries’ track-record, adjusted for the change in debt with the estimated fiscal reaction coefficient. The evidence of fiscal fatigue in non-linear FRF specifications is weaker for our euro area sample. JEL: H60, E62, F41, C33
A New Record to the Flora of Saudi Arabia: Ipomoea carneaJacq., Convolvulaceae

Ipomoea carneaJacq. (Family Convolvulaceae) form Jazan, Saudi Arabia is described as a new record species to the flora of Saudi Arabia. The farmers use it as ornamental and hedge plant along the edge of their farm. The rapid growth rate, spread, and adaptability from aquatic to xerophytic habitats indicate that this plant may potentially become an invasive species in the next decade in that area and may cause other ecological disaster. Besides causing problems as a pasture weed, I. carneais reported to be a toxic plant.
Encryption System with Indexing DNA Chromosomes Cryptographic Algorithm

DNA has a great cryptographic strength, its binding properties between nucleotides bases (A—T, C—G) offer the possibility to create self-assembly structures which are an efficient means of executing parallel molecular computations. Our work is based on the development of the new encryption system with indexing DNA chromosomes cryptographic algorithm using MATLAB Bioinformatics Toolbox. This toolbox offers support for developing DNA cryptographic operations and providing more secure cryptographic algorithms. The algorithm is based on the idea to use DNA chromosomes as one-timepad structures and index them in order to encrypt the plaintext message. Our work is based on the complexity of the development of the new encryption system with indexing DNA chromosomes cryptographic algorithm.
Quantum Description of Optical Devices Used in Interferometry

A quantum-mechanical description of the phase shifters, retarders, mirrors and beam splitters is given in the paper. The description is then applied on two types of states. On a coherent state, a classical-like state, and on a number state, hence the strict quantum state. The quantum description of a beam splitter can be found in the literature. However the description does not treat with the polarization concept. The paper is aimed to introduce quantum description of an arbitrary oriented retarder and give a description of a beam splitter which treats with the polarization.
PRELIMINARY RESULTS OF MVV AND CAEV SEROPREVALENCE IN ROMANIAN SHEEP AND GOATS

Maedi-Visna (MV) and Caprine Arthritis Encephalitis (CAE) are diseases of sheep and goats. They are caused by lentiviruses which belong to Retroviridae family. The usual way of contamination is the cohabitation of animals. Diseases are widespread in many countries as: Norway, France, Italy, Spain, USA, Panama, Cyprus, Greece, and Japan. The present paper aimed to present the MVV and CAEV antibodies seroprevalence in samples collected in different sheep and goats farms from Romania. There were collected blood samples from the following counties: ClujNapoca, Ilfov, Constanta, Galati, Giurgiu, Braila, Arges, Bacau, Dâmbovita, Ialomita, Suceava, Calarasi, Buzau, Vrancea, and Vaslui. In order to determine the presence of antibodies, the samples were analysed by indirect ELISA, using commercial kits. There were registered negative results in only four counties and the possible existence of viruses in farms cannot be excluded. In order to confirm and strengthen the preliminary results, we recommend to analyses the samples by molecular biology techniques. Also, national authorities could establish a program of surveillance and diagnosis at national level, able to provide a more complete picture of the SRLVs prevalence in each county.
Ongoing Research : Trust in Automation in the Context of Privacy

This extended abstract introduces the new research topic of trust in automation in the context of privacy. Since in the course of digitalization more and more user data are being captured, users value their privacy and at the same time feel desperate. To help users with navigating in this more complex environment we envision an automated system (called AlterEgo) to represent the users’ interests. In order to gain a meaningful user-system-interaction, the establishment of a trustful relationship is crucial. Therefore, we aim to investigate the role of trust in automation in the context of privacy in three sequential studies.
Do African Economies Grow Similarly?

Abstract This paper examines economic growth in 52 African countries for 1961–2016 and seeks to find if there is common growth. As all African countries have their particular features, concerning climate, harvest, industry, size, politics, and infrastructure, and more, it seems best to rely on a non-parametric method. Dynamic Time Warping is such a convenient method, also as it allows leads and lags across countries to vary over time, and as it can easily be incorporated into a clustering technique. Five clusters are found, two of which concern Equatorial Guinea and Botswana, and the three other clusters have common growth rates of about 0, 2 and 4 over more than five decades.
Psychology of Human Thought

Choice is ubiquitous, from small decisions such as whether to bring an umbrella to life-changing choices such as whether to get married. Making good decisions is a lifelong challenge. Psychologists have long been fascinated by the mechanisms that underlie human decision making. Why do different people make different decisions when offered the same choices? What are common decision making errors? Which choice option is the “best” and why? These questions are addressed in this chapter. We first outline models and theories of decision making, defining key concepts and terms. We then describe the psychological processes of decision makers and how these approaches can sometimes lead to systematic biases and fallacies. We touch on the related subject of judgment because of the close relationship with decision making in the literature.