Miracle-dz/UniFAR-FTUs huggingface dataset:
DTA Hunter System: A new statistic-based framework of predicting future demand for taxi drivers

The ever-growing popularity of taxi services in modern cities creates the demand for making taxi activities more efficient. Specifically, the main aims are reducing the cruising time of taxi when drivers hunt for new passengers and maximize potential profit for the next trip, which attracts many interest of researchers. However, most research use historical GPS tracks without considering 1) the data of current day, especially a few last hours from the current time and 2) completely ignore the road-passengers (traditional passengers who hail taxi on road), which account for a large portion of taxi demand in reality. To overcome such drawbacks, we propose DTA hunter system, incorporating such information into a statistical model by vectorizing historical data and probability equations respectively. The final aim of the model is that given a taxi information (current location & time), it will suggest k parking places and optimal paths to get there that maximize the probability of picking up new passengers and the expected distance of next trip. We evaluate the model with taxi services dataset of Vietnam VinaSun Taxi Company in 4 weeks (from 18/10/2015 to 14/11/2015) and the result of our model (the probability of picking up new passengers in the future) is better than the daily behavior of taxi drivers in reality.
Performance prediction using support vector machine for the configuration of optimization algorithms

The aim of this paper is to propose a machine learning approach for predicting the performance of each configuration of optimization algorithms. Our approach consists of advocating making the decision of finding the most suitable configuration on a per-instance analysis based on a supervised machine learning model. That is, it consists of building a support vector machine (SVM) model to predict the performance of each configuration on each instance and then to select the adapted setting depending on the instance. Furthermore, feature selection has been used as a pre-processing step to select the relevant features in order to enhance the predictive capacity of SVM. The experiment consists of predicting algorithm performance metrics for two well known optimization problems using SVM in its continuous and binary form depending on the metric of each problem.
Multiple Faces of Preferential Market Access: Their Causes and Consequences

This paper suggests an integrated approach to study selection into and consequences of five modes of preferential economic integration agreements (PEIAs): goods trade agreements (GTAs), services trade agreements (STAs), double taxation treaties (DTTs), bilateral investment treaties (BITs), and currency unions as well as currency pegs (CUAs). A detailed descriptive analysis reveals typical integration patterns, with DTTs and BITs often being first steps towards deeper integration. We consider the effects of PEIAs on bilateral goods trade, services trade, and FDI and provide conclusive evidence that single and combined PEIAs are associated with positive effects not only on single outcome but typically on all outcomes. Investment liberalization through DTTs and BITs seems to be particularly beneficial since concluding them alone or in any combination with other agreements encourages goods trade even more than the liberalization of goods trade per se.
Oxygenation and release of inflammatory mediators after off‐pump compared with after on‐pump coronary artery bypass surgery

Background: In a previous study, we showed that oxygenation was impaired for up to 5 day after conventional coronary artery bypass grafting (CABG). As cardiopulmonary bypass (CPB) may have a detrimental effect on pulmonary function, we hypothesized that coronary revascularization grafting without the use of CPB (OPCAB) would affect post‐operative oxygenation and release of inflammatory mediators less compared with CABG.
Beat-to-Beat Hemodynamic Monitoring During Electroconvulsive Therapy

Objectives: Rapid parasympathetic and sympathetic hemodynamic effects during electroconvulsive therapy (ECT) may pose vulnerable patients to significant risk for cardiovascular complications. Here, we evaluated the clinical feasibility of noninvasive beat-to-beat arterial blood pressure (BP) measurements in patients undergoing ECT. Methods: Beat-to-beat hemodynamic effects were measured with a noninvasive BP monitor in 24 individual patients undergoing ECT during general anesthesia. Heart rate, systolic (SBP), and diastolic BP (DBP) as well as cardiac output (CO) were measured continuously. A significant increase in pulse rate and/or BP was treated with intermittent administration of esmolol and ketanserin. Data are presented as mean ± SD. Results: The ECT stimulus induced a transient drop in BP and pulse rate, followed by a sharp rise in both parameters. The parasympathetic phase lasted 17 ± 9 seconds and was characterized by a drop in heart rate from 89 ± 15 to 42 ± 24 beats per minute, in SBP from 143 ± 22 to 91 ± 31 mm Hg, in DBP from 82 ± 13 to 54 ± 22 mm Hg, and in CO from 5.7 ± 2.3 to 1.4 ± 1.0 L/min, respectively. During the subsequent sympathetic phase, the heart rate increased to 125 ± 26 beats per minute, the SBP to 192 ± 33 mm Hg, the DBP to 113 ± 21 mm Hg, and the CO to 7.4 ± 4.3 L/min. The time interval between the lowest and highest SBP was 60 ± 48 seconds. Conclusions: Noninvasive beat-to-beat BP measurements are feasible during ECT and may be used to guide rapid therapeutic interventions during ECT-induced hemodynamic effects.
CpG ODN can re-direct the Th bias of established Th2 immune responses in adult and young mice.

Induction of an appropriate immune response is essential for successful immunization. For example, Th1 type immune responses are necessary for the control of intracellular infections whereas Th2 type responses are more useful for the control of extracellular infections. Immunostimulatory CpG ODN (oligonucleotides containing unmethylated cytosine and guanine dinucleotides in specific base contexts) act as potent adjuvants and have been shown to induce Th1 type immune responses with a number of different antigens. This study investigates the effect of CpG ODN on the Th bias of immune responses generated against the hepatitis B major surface antigen (HBsAg) in adult (6-8 weeks old) and young (<1 week old) BALB/c mice. It also investigates the potential of CpG DNA to reverse a pre-established Th2 response generated as an adult or as a neonate, following re-exposure to HBsAg in adult life. Both adult and young mice immunized with HBsAg/CpG ODN had a Th1 biased immune response (strong cytotoxic T-lymphocyte (CTL) induction, IgG2a>>IgG1). In contrast, mice immunized with HBsAg/alum had a Th2 type immune response (poor CTL, IgG1>>IgG2a). More importantly, when animals were immunized with HBsAg/alum and boosted with HBsAg/CpG ODN, the CpG ODN were able to re-direct the Th2 response pre-established by alum, whereas the animals receiving the primary immunization with HBsAg/CpG ODN and later boosted with HBsAg/alum maintained their Th1 bias, even after the boost with alum. These data suggest that CpG ODN have the ability to augment both humoral and cell mediated immune responses and override the Th2 bias created by alum, even in very young animals, which are known to have a Th2 biased immune system.
Outcome uncertainty, reference-dependent preferences and live game attendance.

We develop a consumer choice model of live attendance at a sporting event with reference-dependent preferences. The predictions of the model motivate the “uncertainty of outcome hypothesis” (UOH) as well as fan’s desire to see upsets and to simply see the home team win games, depending on the importance of the reference-dependent preferences and loss aversion. A critical review of previous empirical tests of the UOH reveals significant support for models with reference-dependent preferences, but less support for the UOH. New empirical evidence from Major League Baseball supports the loss aversion version of the model.
Heart Rate and Cardiac Rhythm Relationships With Bisoprolol Benefit in Chronic Heart Failure in CIBIS II Trial

Background —&bgr;-Blockade–induced benefit in heart failure (HF) could be related to baseline heart rate and treatment-induced heart rate reduction, but no such relationships have been demonstrated. Methods and Results —In CIBIS II, we studied the relationships between baseline heart rate (BHR), heart rate changes at 2 months (HRC), nature of cardiac rhythm (sinus rhythm or atrial fibrillation), and outcomes (mortality and hospitalization for HF). Multivariate analysis of CIBIS II showed that in addition to &bgr;-blocker treatment, BHR and HRC were both significantly related to survival and hospitalization for worsening HF, the lowest BHR and the greatest HRC being associated with best survival and reduction of hospital admissions. No interaction between the 3 variables was observed, meaning that on one hand, HRC-related improvement in survival was similar at all levels of BHR, and on the other hand, bisoprolol-induced benefit over placebo for survival was observed to a similar extent at any level of both BHR and HRC. Bisoprolol reduced mortality in patients with sinus rhythm (relative risk 0.58, P <0.001) but not in patients with atrial fibrillation (relative risk 1.16, P =NS). A similar result was observed for cardiovascular mortality and hospitalization for HF worsening. Conclusions —BHR and HRC are significantly related to prognosis in heart failure. &bgr;-Blockade with bisoprolol further improves survival at any level of BHR and HRC and to a similar extent. The benefit of bisoprolol is questionable, however, in patients with atrial fibrillation.
Predicting Cross-National Levels of Social Trust: Global Pattern or Nordic Exceptionalism?

This analysis of variations in the level of generalized social trust (defined here as the belief that others will not deliberately or knowingly do us harm, if they can avoid it, and will look after our interests, if this is possible) in 60 nations of the world shows that trust is an integral part of a tight syndrome of social, political and economic conditions. High trust countries are characterized by ethnic homogeneity, Protestant religious traditions, good government, wealth (gross domestic product per capita), and income equality. This combination is most marked in the high trust Nordic countries but the same general pattern is found in the remaining 55 countries, albeit in a weaker form. Rural societies have comparatively low levels of generalized trust but large-scale urban societies do not. Cause and effect relations are impossible to specify exactly but ethnic homogeneity and Protestant traditions seem to have a direct impact on trust, and an indirect one through their consequences for good government, wealth and income equality. The importance of ethnic homogeneity also suggests that the difference between particularized and generalized trust may be one of degree rather than kind.
Demand Analysis of Fresh and Frozen Finfish and Shellfish in the United States

Household expenditures for at-home consumption on three species of shellfish and five species of finfish were analyzed. Factors explaining the variation of expenditures on seafood commodities were own price, household income, coupon value, household size, geographic region, urbanization, race, and seasonality. Own-price elasticities ranged from −0.45 (flounder/sole) to −1.13 (oysters). Expenditures on fishery products were more sensitive to changes in household size than to changes in household income. Cross-price effects of red meat and poultry were not statistically significant. For comparison purposes, estimates of own-price, income, and household size elasticities from the literature were made with this set of elasticities.
Portfolio Authorship as a Networked Activity

In this paper, the author uses data from a multi-site case study to demonstrate the utility of Engestrom's (1987) Cultural Historical Activity as an analytic and interpretive framework to investigate the complex act of portfolio creation as practiced in accreditation-seeking institutions. The data highlights how the portfolio task is influenced by tensions arising from the task and the surrounding network of activity. She argues that a sociocultural frame, such as CHAT, is a viable tool to help move portfolio research beyond the atheoretical experience reports prevalent in the existing body of portfolio literature.
CloudAR: A Cloud-based Framework for Mobile Augmented Reality

Computation capabilities of recent mobile devices enable natural feature processing for augmented reality (AR), but the scalability issues are still faced by mobile AR applications. In this paper, we propose CloudAR, a mobile AR framework utilizing the advantages of cloud and edge computing through task offloading. We design an innovative tracking system for mobile devices which provides lightweight tracking with 6 degree of freedom (6DoF) and hides the offloading latency from user»s perception. We also design a multi-object image retrieval pipeline that executes fast and accurate image recognition tasks on servers. Experiments are carried out to evaluate the performance of CloudAR. The mobile AR App built with CloudAR framework runs at 30 frames per second (FPS) on average with precise tracking of only 1~2 pixel errors and accurate image recognition of at least 97% accuracy.
Exploration of protein–protein interaction effects on α-2-macroglobulin in an inhibition of serine protease through gene expression and molecular simulations studies

In Prophenoloxidase (ProPO) cascade, two targets namely serine protease and α-2-macroglobulin are key regulators involved in the defense system of crustaceans. In biological systems, routine role of cell systems requires the understanding in protein–protein interactions through experimental and theoretical concepts, which might yield useful insights into the cellular responses. Response of cells to regulating the immune system is governed by the interactions-involved biomolecular simulations. Unfortunately, studies on the inhibitors (SP and α-2M) that negatively regulate the proPO system or melanization in penaeid shrimp are not yet available. In order to understand how these interactions change the proPO mechanism in Indian white shrimp Fenneropenaeus indicus was determined. In F. indicus, innate immune system is in a sensitive balance of intricate interactions; elucidating these interactions by the integration of in silico and in vitro has great potential. We have determined the expression of both the SP and α-2M enzymes in regulatory mechanism, which are analyzed through qRT-PCR, protein–protein docking, and simulation studies. From this work, we propose a novel approach for studying an organism at the systems level by integrating genome-wide computational analysis and the gene expression data.
Bistable interstitial-carbon-substitutional-carbon pair in silicon.

Identification de ce type de defaut dans le silicium irradie par des electrons. Dans les etats de charges negative et positive, la configuration stable du defaut implique une «molecule» carbone-silicium qui occupe un site de reseau unique pres d'un atome de carbone de substitution. Dans l'etat de charge neutre, le defaut rearrange ses liaisons afin que les atomes de carbone deviennent substitutionnels avec un atome de Si entre eux. Presentation de modeles microscopiques et de diagrammes de configuration pour ces 3 etats de charge
Real-time intrusion detection system using multi-agent system

The growth of network attacks has lengthened the intrusion detection system’s (IDS) processing time to detect these attacks. The demand for reducing the processing time has increased when dealing with real time IDS. Several methods were proposed, such as improving the algorithm, or improving the IDS’s architectural design; which includes distributed and parallel. However, this paper sought to present a Multi-agent System solution (MAS-IDS) to enhance the performance of IDS in order to reduce the analysis of the network’s traffic data processing time when detecting attacks. Numerous works of MAS improved the accuracy of IDS, however, only a few had focused on enhancing the processing time of IDS. The number of analysis agents that can be created in a system depends upon the size of traffic data and the availability of logical processors (cores) in the system, without affecting the performance of the hosts with less targeted time. The conducted experiments employed the dataset KDDCUP'99. The results illustrated that MAS-IDS had reduced up to 81% of the processing time in the analysis procedure when compared to traditional IDS with maintaining the same accuracy approximately.
Citizen Use of Citizen's Study: Repackaged Research Format as an Empowerment Tool

Various writers have identified assorted sets of barriers that they consider to be most menacing to public sector productivity, often basing their choices on obstacles encountered in the particular productivity improvements efforts they are reporting. Individually, such lists are impressive: collectively, they are imposing. In this article, productivity barriers noted in a wide variety of public sector sources are compiled for purposes of reviewing the significance of each and considering their collective ability to thwart productivity gains. Although most barriers are applicable to all levels of government, some, such as those involving intergovernmental relations, have effects differing from one level to another. All are presented here from the perspective of local governments.
How Do Taxes Affect Investors' Stock Market Realizations? Evidence from Tax-Return Panel Data

This article provides direct evidence on the empirical importance of tax-reduction strategies. The authors' results indicate that relatively few investors trade securities to reduce their taxes and that tax-induced trading has little effect on stock prices. Their findings suggest that, holding all else constant, stock prices are likely to be insensitive to the difference between short- and long-term capital gains tax rates. Copyright 1994 by University of Chicago Press.
Band-gap engineered hot carrier tunnel transistors

Inter-band tunnel field effect transistors (TFETs) with a gate co ntrolled zener tunnel junction at the source are of interest because of its a bility to operate with sub-kT/q sub-t hreshold sl ope device ope ration over a specified gate bias range [1,2]. This allows TFETs to achieve, in principle, much higher ION-IOFF ratio over a given gate voltage swing compared to conventional MOSFETs, making them attractive for ultra-low power operation. We present here a study on the strong non-equilibrium character of the tunnel injected carrier population in the channel of the TFETs through detailed energy balance (EB) simulations [3,4] and its implication on TFET device design. We specifically show the following: (i) A large and highly inhomogeneous electric field at the source side tunnel junction at high gate voltages results in a non-equilibrium distribution of injected carriers in the TFET channel (ii) A novel source side heterojunction design en hances and sharpens t he source side electric field am plitude and shape resulting in greater carrier heating and band-to-band tunneling (BTBT) currents even at moderate gate voltages (iii) The energy relaxation p rocess o f t he injected carriers on both sides of t he tunnel barrier a re studied as a function of bias conditions and is a strong function of the 2-dimensional electric field profile in the TFET channel.
Naringenin‐responsive riboswitch‐based fluorescent biosensor module for Escherichia coli co‐cultures

The ability to design and construct combinatorial synthetic metabolic pathways has far exceeded our capacity for efficient screening and selection of the resulting microbial strains. The need for high‐throughput rapid screening techniques is of upmost importance for the future of synthetic biology and metabolic engineering. Here we describe the development of an RNA riboswitch‐based biosensor module with dual fluorescent reporters, and demonstrate a high‐throughput flow cytometry‐based screening method for identification of naringenin over producing Escherichia coli strains in co‐culture. Our efforts helped identify a number of key operating parameters that affect biosensor performance, including the selection of promoter and linker elements within the sensor‐actuator domain, and the effect of host strain, fermentation time, and growth medium on sensor dynamic range. The resulting biosensor demonstrates a high correlation between specific fluorescence of the biosensor strain and naringenin titer produced by the second member of the synthetic co‐culture system. This technique represents a novel application for synthetic microbial co‐cultures and can be expanded from naringenin to any metabolite if a suitable riboswitch is identified. The co‐culture technique presented here can be applied to a variety of target metabolites in combination with the SELEX approach for aptamer design. Due to the compartmentalization of the two genetic constructs responsible for production and detection into separate cells and application as independent modules of a synthetic microbial co‐culture we have subsequently reduced the need for re‐optimization of the producer module when the biosensor is replaced or removed. Biotechnol. Bioeng. 2017;114: 2235–2244. © 2017 Wiley Periodicals, Inc.
The Effects of Banking Mergers on Loan Contracts

This paper studies the effects of banking mergers on individual business borrowers. Using information on individual loan contracts between banks and companies, I analyze the effect of banking consolidation on banks' credit policies. I find that in-market mergers benefit borrowers if these mergers involve the acquisition of banks with small market shares. Interest rates charged by the consolidated banks decrease, but as the local market share of the acquired bank increases, the efficiency effect is offset by market power. Mergers have different distributional effects across borrowers. When banks become larger, they reduce the supply of loans to small borrowers. Copyright The American Finance Association 2002.