Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative performance analysis of machine learning models for breast cancer diagnosis

- Breast cancer tumor is one the tumor discussed, researched and thought over by many recent time philosopher for it malignant and benign nature through manual and natural language methods. Due to the severity of tumor and increasing rate medical science has accepted this challenge and tried to diagnose it on early stage. Manual methods are not giving the results for mammographic images and statistical reviews for treatment. This study tends to evaluate the performance of seven machine learning classification models such as: Artificial Neural Network (NN), Bayes Network (BN), k-Nearest Neighbors Algorithm (KNN), Decision Tree (DT), Random Forest (RF), Logistic Regression (LR) and Support Vector Machine (SVM) are used to diagnose breast cancer symptoms. The accuracy for the prediction of breast cancer has remained the disputed research area. Many authors previously have worked and found the flaws in natural language, and learning models of classification for breast cancer. Study debates on the accuracy and efficiency of machine learning models by comparing all seven methods using AUC values, K-Fold Cross Validation and F-measure metric. Study used F measure values, cross validation values and AUC (ROC) values for interpreting the results of performance measurement of all seven classification methods, results acquired suggested that all seven methods are better and efficient as compare to the manual methods of diagnosing the breast cancer and Random Forest as the highly recommended and most appropriate methods to yield the perfect results in AUC and Cross
In Vitro Prediction for Salt Tolerance in Wheat

Callus of three salt tolerant wheat genotypes and their hybrids was obtained from mature embryos on MS medium supplemented with different NaCl concentrations. Growth rate of callus decreased as the salinity levels were increased in the culture medium. There were highly significant differences among the tested genotypes and their hybrids in response to salt stress in callus growth rate. The results showed that callus growth rate and plant regeneration of hybrids were less decreased as salt concentration was increased compared with that of parents. Sakha-69 and hybrid (Sakha-69x Giza–157) were the most tolerant and scored high percentage in plant regeneration. Free proline content increased parallel to the increase of salinity. The results prove that the genetic differences in wheat salt tolerance could be tested early in vitro and the more the genotype is able to produce proline under the stress conditions, the more it will tolerate salinity.
Anterior cingulate cortex disconnectivity in high-risk offspring of bipolar patients: a preliminary DTI study

Correspondence: Mert Besenek, Dokuz Eylül University, School of Medicine, Department of Child and Adolescent Psychiatry, İzmir Turkey Phone: +90 464 213 04 91 E-mail: mbesenek1989@gmail.com Received: April 15, 2019; Revised: May 13, 2019; Accepted: June 13, 2019 ABSTRACT Objective: Given the shortage of studies done in this field, our aim was to distinguish offspring of bipolar parents between symptomatic and asymptomatic, then to compare neuroimaging findings between groups, thus assessing the early biomarker potential of neuroimaging techniques. Method: In this case-controlled study, we compared an asymptomatic high-risk group and a symptomatic high-risk group with a healthy control group. Diffusion tensor imaging (DTI) with region of interest (ROI) was used to analyze mean diffusivity (MD) and fractional anisotropy (FA) values in the superior longitudinal fasciculus (SLF) of the frontal cortex, the genu and splenium of the corpus callosum (CC), the cingulum bundle of the anterior cingulate cortex (CB-aCC), and the uncinate fasciculus (UF). Results: No differences were found between groups for FA and MD in the CC, SLF, and UF, but MD of the CB-aCC was significantly higher in the AHR and SHR groups than in healthy controls. Higher MD values found in the aCC of the high-risk groups may represent cellular damage in that region, regardless of symptomatic status. Conclusion: Results from this study may suggest candidates that could contribute to the neural underpinnings of a bipolar prodromal phase. Further longitudinal studies with larger sample sizes are needed to map the association of neural development and bipolar disorder-related psychopathology in at-risk youth.
Do Physicians' Online Activities Impact Outpatient Visits? An Examination of Online Health Communities

The medical service on online health communities (OHCs) has created an additional touch point whereby physicians can interact with patients and extends physicians’ service from hospitals to the online environment. As the supplement and improvement of physicians’ diagnosis and treatment services, online consultation services can make full use of physicians’ spare time. Despite heated debates about the pros and cons of the online services to the traditional services in the hospitals, little empirical work has been conducted to examine it. We seek to understand and measure the impacts of physicians’ various activities online on their outpatient visits in the hospitals. By collecting a panel dataset from an OHC and a hospital in China, we find that participation in the OHCs leads to an increase in outpatient visits. We provide insights for physicians about how to increase patient visits in the emerging era of the Internet medical.
VIRTUAL REALITY IN PARETIC UPPER LIMB REHABILITATION OF STROKE PATIENTS

STRESZCZENIE Wstęp Udar mózgu jest ważną jednostką chorobową ze względu na liczne zachorowania i dużą śmiertelność wśród pacjentów. Wciąż poszukuje się nowych rozwiązań w procesie leczenia, w tym też nowych sposobów rehabilitacji. Wykazano, że w celu poprawy funkcji sensomotorycznych, utraconych na skutek udaru mózgu, korzystne jest wprowadzenie, do tradycyjnej rehabilitacji, innowacyjnej technologii komputerowej, zwanej terapią wirtualną bądź wirtualną rzeczywistością (VR). Cel Celem niniejszej pracy jest ocena efektywności wirtualnej rzeczywistości w leczeniu usprawniającym niedowładnej kończyny górnej u chorych po udarze mózgu. Materiał i metody Autorzy dokonali analizy doniesień naukowych, dotyczących rehabilitacji kończyny górnej u chorych po udarze mózgu, opublikowanych w PUBMED od początku 2014 do połowy 2017r. Wyniki Po przeanalizowaniu dostępnych prac stwierdzono, że znacząca większość wyników (32 z 35 prac) wykazała pozytywne działanie metod rehabilitacji przy użyciu VR w procesie usprawniania po udarze mózgu. Wnioski Możliwości rehabilitacji w oparciu o VR u pacjentów po udarze mózgu nie są jeszcze dostatecznie poznane. Zdaniem autorów istnieje konieczność prowadzenia dalszych badań z wykorzystaniem ustandaryzowanych protokołów tak aby grupy pacjentów były duże, jak najbardziej homogenne a zastosowane technologie umożliwiały porównanie między ośrodkami badawczymi. Pozwoli to na rzetelne potwierdzenie skuteczności klinicznej VR w rehabilitacji.
GaitID-2-SquatID: Deep transfer learning for human kinematics

In the quest for more secure and varied methods of human identification, researchers have already found noteworthy results using bipedal gait analysis through accelerometric data. Using a gaittrained model, we show that transfer learning can successfully transverse different kinematic modalities and sensor modalities at the same time. Not only did the model transfer successfully from the domain of bipedal gait to the domain of bodyweight squats, but it also crossed sensor domains. The gait model was originally trained on data from smartphone sensors while the squat data was collected from from inertial measurement unit (IMU) sensors. With 92% top-1 accuracy, the model classifies humans remarkably well based on their squat motions using IMU sensors and requiring only a small amount of data.
International Acquisition and Competitiveness

International competitiveness is a major national policy issue, but little work has been done on a firm level. We examine whether a firm’s international competitiveness is assisted by international acquisitions using a comprehensive sample of international acquisitions by US firms. Consistent with resource theory but not agency theory, we find that international acquisitions enhance the competitiveness of acquirers compared to a control sample of no acquisition. The resources and capabilities of acquirers and their complementarity with those of target firms are important for the success of international acquisitions. The results are robust with regard to different measures of competitiveness and benchmarks as well as the endogeneity of acquisition decisions. These results help resolve the apparent M&A paradox concerning value destruction.
UNDERSTANDING INDONESIA’S CITY-LEVEL CONSUMER PRICE FORMATION: IMPLICATIONS FOR PRICE STABILITY

Using the Consumer Price Index (CPI) data of 82 Indonesian cities, we propose the hypothesis of heterogeneity in the cities’ contribution to the aggregate Indonesian CPI. Using a price discovery model fitted to monthly data, we discover that (1) of the 23 cities in the province of Sumatera, five contribute 44% and nine contribute 66.7% to price changes, and (2) of the 26 cities in Java, four alone contribute 41.6% to price changes. Even in smaller provinces, such as Bali and Nusa Tenggara, one city alone dominates the change in aggregate CPI. From these results, we draw implications for maintaining price stability.
The Longitudinal Effects of Social Sharing on Physical Health

A key strategy to combat sedentary lifestyle is to encourage fitness exercises. Traditional wellness and lifestyle management programs focus on inducing health awareness and providing fitness activity support. The growing pervasive use of smartphones allows individualized and cost-effective digital wellness programs to be administrated through mobile fitness apps. Drawing on the self-promotion literature, this paper elucidates the effects of mobile fitness app on health outcomes. Specifically, this study examines a social feature of mobile fitness app usage social sharing. The results of our longitudinal field experiment reveal strong evidence that mobile fitness apps help improve health outcomes. Furthermore, compared the absence of social sharing, social sharing leads to lower body fatness, however the effects of social sharing diminish over time.
Internet Celebrity Endorsement: How Internet Celebrities Bring Referral Traffic to E-commerce Sites?

Endorsement marketing has been widely used to generate consumer attention, interest, and purchase behaviors among targeted audience of celebrities. Internet celebrities who become famous by means of the Internet are more dependent on strategy intimacy to appeal to their followers. Limited studies have addressed the new business models in Internet celebrities economy: content advertising and online retailing. Our study aims to examine how Internet celebrity endorsement influencing the consumers’ clickon behaviors and purchase behaviors in the context of e-commerce business. Results suggest that content marketing using Internet celebrity endorsement exhibit a significant role in bringing referral traffic to e-commerce sites but less helpful to boost sales. The impact of Internet celebrity endorsement on consumers’ click-on decisions is U-shaped, but the role of Internet celebrities as online retailers will “shape-flip” such relationship to a negative linear relation. Therefore, Internet celebrity endorsement provides effective ways to bring referral traffic to e-commerce sites.
The Importance of Value Chains for Euro Area Trade: A Time Series Perspective

This paper analyses intra- and extra-euro area (EA) trade flows for the five largest EA countries in order to gauge the importance of value chains. We bridge findings from input-output table analysis with a time series approach. Evidence of value chains is found for all trade patterns and is most pronounced within the EA. Imports from EA and RoW are not only domestically absorbed, but also re-exported. Exports to EA depend on demand in both the importing country and the rest of the world (RoW), indicating the importance of re-exports to RoW. Demand factors play a large role in all trade patterns.
Progress in Transition Modeling and Control

We have recently conducted a direct numerical simulation (DNS) study of a transient channel flow following a sudden increase of flow rate of an initially turbulent flow to investigate the response of turbulence [1]. In this work, we have shown that a low-Reynolds-number turbulent flow can undergo a process of transition that resembles the laminar-turbulent transition. In response to the rapid increase of flow rate, the flow does not progressively evolve from the initial turbulent structure to a new one, but undergoes a process involving three distinct phases (pre-transition, transition and fully turbulence) that are equivalent to the three regions of the boundary layer bypass transition, namely, the buffeted laminar flow, the intermittent flow and the fully turbulent flow regions. This transient channel flow represents an alternative bypass transition scenario to the free-stream turbulence (FST) induced transition, whereby the initial flow serving as the disturbances is a low-Reynolds-number turbulent wall shear flow with preexisting streaky structures. A thin boundary layer of high strain rate is formed adjacent to the wall following the rapid increase of flow rate, which grows into the core of the flow with time providing the main reasons for further changes of the flow. The pre-existing turbulent structures act as background perturbations to this boundary layer, much like the role the free stream turbulence plays in a bypass transition. These turbulent structures are modulated by the time-developing boundary layer and stretched to produce elongated streaks of high and low streamwise velocities, which remain stable in the pretransitional period. At this stage, the axial fluctuating velocity increases steadily but the other two components remain effectively unchanged. In the transitional phase, localised turbulent spots are being generated which are distributed randomly in space. Such turbulent spots grow longitudinally as well as in the spanwise direction, merging with each other and eventually occupying the entire wall surfaces when the transition completes and the flow becomes fully turbulent. In the study reported in [1], only one case was considered, whereby the initial and the final Reynolds numbers ( , where is the bulk velocity of the flow and the half channel height) were 2800 and 7400 respectively. The ramp period was very short (t*=0.22) and the flow variation can be viewed as a step change ( , where Ub1 is the bulk velocity of the final flow at . In the proposed presentation, we will report further studies on the effect of the initial and final Reynolds numbers on the characteristics of the response of turbulence. We also consider ‘slowly’ increased acceleration whereby the ramp period is varied from Δt*=0.24 to 96. [1] S. He and M. Seddighi (2013) Turbulence in transient channel flow, Journal of Fluid Mechanics, 715, 60-102. Fig. 1 Flow structures (Green: u’=+0.12; Blue: u’=-0.12; λ2=-0.5) Fig. 2 Effect of acceleration rate Fig. 3 Effect of initial Reynolds number t*  w * 0 25 50 75 100 0.005 0.01 0.015 0.02
Does Monetary Incentive Increase Microfinance Lending? An Empirical Study of Matching Gift Programs on Kiva

Although there are a variety of studies in IS field exploring funding behavior on crowdfunding and online microfinance platforms, the literature about how external monetary incentive will influence the crowdfunding behavior is very scarce. In this research, we utilize a “match day” event on Kiva to study how matching gift programs, as one of the most important tools of monetary incentives in crowdfunding, will affect the matched loans and unmatched loans. We find that matching gift programs benefit both matched and unmatched loans. Besides, we also find that the higher intensity of matching among competitor of the loan will induce lenders making higher contributions. The result indicates that matching gift programs have a positive spillover effect for unmatched loans, which support the use of matching gift programs on prosocial lending websites to increase overall funding.
Slowly Unfolding Disasters

We develop a model that endogenously generates slowly unfolding disasters not only in the macroeconomy, but also in financial markets. In our model, investors cannot exactly distinguish whether the economy is experiencing a mild/temporary downturn or is on the verge of a severe/prolonged disaster. Due to imperfect information, disaster periods are not fully identified by investors ex ante at the onset, but ex post using the peak-to-trough approach as in the data. Bayesian learning induces equity prices to gradually react to persistent consumption declines in periods of disasters. We show that modeling realistic equity dynamics during disasters is crucial to explaining the VIX, variance risk premium, and risk premia on put-protected portfolios, addressing the shortcomings and criticisms of traditional disaster risk models.
Commencement of Electronic Trading: Impact on Liquidity, Price Discovery and Market Efficiency-Australian Evidence from Sydney Futures Exchange

Using mixture of distributions hypothesis, we evaluate the liquidity of the Sydney Futures Exchange with an analysis of ‘at the money’ share price index (SPI) call options and SPI futures contracts after the introduction of electronic trading on 15 November 1999. The results show that during the proximate period up to beginning August 2000 ‘at the money’ SPI options were more liquid in times of high volatility after the SFE became automated. But the SPI futures are less liquid in times of medium to low market volatility after the automation. An examination of the price discovery process before and after automation was also incorporated into this study in testing market efficiency. Under this assumption the trading prices in the Australian Stock Exchange (ASX) and Sydney Futures Exchange (SFE) should have a long-run cointegrating relationship. The results confirm a cointegrating relationship between the two markets before and after the introduction of electronic trading supporting the semi-strong market efficiency. Our findings also indicate presence of a bi-directional lead–lag relationship between the SPI futures price and the All Ordinaries Index price before and after the introduction of electronic trading. This suggests that the electronic trading structure does not seem to greatly enhance the price discovery price of the SFE.
What Drives the Concentration of Households’ Investments in Bank Bonds?

Using unique panel data on Italian households, the article examines the drivers of bank bond concentration for retail investors when consulting with bank financial advisors. The regression analysis based on the Fractional Response Model (FRM) shows three main results. First, familiarity tends to substantially increase investors’ portfolio exposure towards bank bonds. A similar effect, although to a lesser extent, is also observed for overconfidence. Second, investor attributes such as age, education and experience explain a small but significant variation in bank bond share. Third, weaker banks in terms of funding structure and profitability seem to exert substantial pressure on clients’ bond allocation through bank advisors. Overall, the research contributes to the understanding of the reasons why households disproportionally concentrate investments in bank bonds, casting doubt on the effectiveness of current investor protection policies.
MIND THE GAPS: THE CONFLICT AUGMENTED PHILLIPS CURVE AND THE SRAFFIAN SUPERMULTIPLIER

The paper discusses the theoretical basis of the impact of an increase in effective demand on the price level, rate of inflation and the acceleration of inflation, the distinction between demand and cost inflation and the associated tradeoffs (or lack of them) between output and inflation in the longer run. And we propose an alternative framework, making use of a simple version of the sraffian supermultiplier model in which core inflation is the result of a cost push, driven by incompatible claims over distribution. These claims depend on the relative bargaining power of firms and workers, which is affected by the unemployment rate, generating a conflict augmented (old) Phillips curve. In sharp contrast to the New Consensus macroeconomics and its single NAIRU, we find a permanent tradeoff between the rate of inflation and the rates of growth of output and productive capacity, and thus also between inflation and structural unemployment. 1 Paper presented at the Eastern Economic Association meeting, New York, March 1,2019. This version has benefitted from recent discussions with my colleagues Fabio Freitas and Ricardo Summa and comments by Mark Setterfield (as well as from correspondence with Tony Aspromourgos many years ago). Remaining errors and omissions are my own.
The Extent of Adopting Climate Smart Agriculture Technologies in Addressing Household Food Security in Makueni County, Kenya

Food insecurity is a concern for households and government. It destabilizes social, economic and political wellbeing. Despite Kenya’s government efforts in provision of incentives like climate smart subsidies to address food insecurity, Makueni County still experiences food deficit. This article endeavored to assess extent of adoption of climate smart agriculture technologies in addressing household food security. Findings revealed that climate smart agriculture technology accessed and practiced had low adoption on food security. Farmers were willing to adopt technology but cultural factors hindered its adoption. From findings, limited resources was the main constraints to CSA technologies adoption and extension services provision.
INTERPRETING RECONVICTION RATES

Detailed information is now available on reconviction rates of those released from prison or commencing community penalties in England and Wales between 1987 and 1993. Comparison of raw reconviction rates, without adjustment for differences in the characteristics of offenders, is inappropriate for monitoring underlying trends or comparing disposals. Approaches used to overcome these problems are discussed with reference to the recent results.
Revision 1 1 2 EXCALIBR to EXCELIBR and the Optical Orientation of Minerals : Correcting the Optical Orientation of 3 Clinoamphiboles . 4 5

9 10 The crystallographic orientation of C 2/m amphiboles has been depicted incorrectly since the 11 standardization of amphiboles in C 2/m. Texts citing the early optical work on amphiboles reference structures 12 drawn in the I 2/m cell, for which the optical orientation is correct. When C 2/m became the standard space group, 13 the optical orientation, (hkl), and crystallographic axes depicted in crystal form drawings were never revised. Using 14 the methods outlined by Gunter and Twamley (2001) combined X-ray and optical methods on single crystals of 15 amphiboles reveal the discrepancy between axes. In the correct orientation of a typical C 2/m amphibole, the 16 physical optical orientation should have never changed from its position outlined in the Tschermak setting as shown 17 in Ford and Dana (1932), however, the crystallographic axes and (hkl) should have changed to accommodate the 18 difference between the I 2/m cell and the C 2/m cell. This error may perpetuate a misunderstanding between the 19 crystallographic setting and optical orientation of clinoamphiboles, which is an important relationship for 20 orientation-dependent analytical methods. Enclosed in this study is the correction of crystallographic axes for crystal 21 form drawings for C 2/m amphiboles, along with an outline of methodology and updates to the spreadsheet 22 EXCELIBR. The methods applied in this study utilize relationships between crystallographic and optical vectors and 23 include an addendum to those presented by Gunter and Twamley (2001), which is applicable to arbitrary reference 24 positions on spindle stages. 25