Miracle-dz/UniFAR-FTUs huggingface dataset:
Diabetes diagnosis with intelligent optimization based support vector machines

Artificial Intelligence is one of the most important scientific fields that can be applied effectively in different real world problems and has been shaping our future for a long time. While there are various types of problems in which it is applied, medical diagnosis is one of the most remarkable one among them. Moving from the explanations, objective of this study is to realize diabetes diagnosis by using intelligent optimization based Support Vector Machines (SVM). In this context, five ones of today’s recent intelligent optimization algorithms were used for optimizing a non-linear SVM, which is using a Gaussian-RBF kernel function. Obtained findings showed that hybrid systems formed with different algorithms show different-level success but in general, good level accurate results can be achieved via intelligent optimization-SVM approach. Hereby, the study also confirms that this followed approach has a significant potential for Artificial Intelligence based diagnosis.
THE STRENGTH OF COMPLEMENTARITY OF E-LEARNING AND SERIOUS GAME

The digital revolution seems to be endless, it accelerates for well over a decade with the innovation of new terminals and virtual worlds, social networking, Web 2.0, cloud computing. Digital workspaces extend widely nowadays and new sciences appear, notably digital learning is a technological revolution that impacts learning and training: E-learning, Serious Games, MOOC, and Mobile Learning . although practices evolve, e -learning and serious games are still equivocal approaches and we still hear questions relating to it. In this article we identify the cataclysm leads by the two solutions serious game and e learning and deduce the major impacts on the field of learning and training, identifying the strengths of each one of them in order to obtain accurate information that will deepen reflections on the passage to digital learning and the emblem of the competition and complementarity between e-learning and serious games
J 21 . 2 ASSESSMENT OF EXTREME WEATHER EVETNS ALONG THE COASTAL AREAS OF THAILAND

Coastal zones are among the most important natural resources, providing human with many essential goods and services. The foundations of prosperity and prominence for most of global cities lie in low-lying areas near coastlines and the mounts of major rivers, which served as conduits for commerce and socio-economic development. As Thailand has an intensive coastline for more than 2,600 km. on the Gulf of Thailand and on the Andaman Sea, enhanced understanding how extreme rainfall events impact this vulnerable system is of paramount importance for country development. In this study, high-quality daily rainfall data from stations located along the coasts during 1965-2006 were analyzed. A set of core extreme indices recommended by the WMOCCL/CLIVAR Expert Team for Climate Change Detection Monitoring and Indices (ETCCDMI) were calculated by measuring different aspects of rainfall extreme characteristics such as wetness and dryness conditions, frequency and intensity events. Results indicated notable changes in different patterns of extreme rainfall characteristics in each coastal side of Thailand. Along the Gulf of Thailand coast, changes in extreme rainfall events were characterized by more intense daily rainfall associated with overall increases in very wet day and heavy rainfalls. These changes towards wetter condition and increases in magnitude and frequency of more intense rainfall events were consistent with the prolonged strengthening of the north-east monsoon which governs the region during October to February. While, there were overall decreases in total rainfall accompanied by coherent dryness condition and reduction of heavy rainfall along the Andaman coastal areas. Our findings indicated that both coastal sides of Thailand will be exposed to increasing risks of different extreme rainfall-driven disasters. Anticipated impacts including increases in inland flash flood, more frequent coastal flooding, coastal erosion and severe water shortage would introduce devastating pressures, and intensify other existing stresses to urban, industry, environment and socio-economic development in the coastal areas. Therefore, vulnerability and risk assessment are needed to shed more light how to cope with and adapt to such adverse impacts of current and future changes.
A 1.2–6 Gb/s, 4.2 pJ/bit Clock & Data Recovery circuit with high jitter tolerance in 0.14μm CMOS

In this paper, a highly parallelized Clock & Data Recovery (CDR) architecture with phase feedback at the bit rate is presented. This parallel CDR features demultiplexing directly at the input, which reduces circuit speed requirements and enables extensive use of standard CMOS logic which only draws dynamic power, resulting in excellent power efficiency over a wide range of speeds: power consumption is below 4.6 pJ/bit between 2.4 and 6 Gbit/s. Parallel CDRs have limited loop bandwidth and jitter tolerance due to latency in the phase-feedback loop. Our architecture solves this problem by applying feedback at the bit rate, resulting in jitter tolerance beyond 4.3 UI at 1 MHz.
Examining manual and semi-automated methods of analysing MOOC data for computing education

We examine a semi-automated approach to the analysis of data from MOOC discussion forums. Previous research had analysed a sample of discussion forum data and developed a manual analysis framework, however this process can be very time consuming, especially given the class size of some online courses. Therefore it is important to investigate appropriate and automated analysis techniques to improve timeliness of analysis and to reveal the topics that emerge from a semi-automated process. An analysis of a data set from a coding MOOC in 2015 using the automated Structural Topic Modeling (STM) technique in R is described and contrasted against a manual analysis conducted on a segment of data from the same course in 2014. The types of analyses available and the relevance to computing education research is highlighted, with a focus on providing a discussion of the contrasting capabilities of each approach. The aim is to enable computing education researchers to assess the relevance of these techniques for further work.
Lending to a farmer : a comparative analysis of frames banks use to interpret agriculture

The financial sector is an environment where certain knowledge, values, and visions persist. These categories shape the perception of agriculture in general and influence services financial sector will provide to farmers. The paper analyses frames bankers adapt to interpret agricultural process and to interact with farmers. It compares evidence from four countries and raises two research questions. First, what differences can be observed between the different countries in terms of how banks interpret farmers? Second, how the claims about farming shape the services banks provide to farmers. Both agriculture in general and the dairy cattle sector in particular are considered.
Improvement in Weighted Page Rank Algorithm using Efficiency and Precision

Weighted Page Rank (WPR) algorithm is an extension to the standard Page Rank algorithm of Google. WPR assigns larger rank values to more important pages considering both inlinks and outgoing links of the web pages and assigns weight to both of them. WPR resolves the core problem of rank sink present in Page Rank algorithm. In this paper we have proposed the improvement in existing WPR algorithm using its two parameters efficiency and precision. Both these parameters discuss the performance of the proposed Weighted Page Rank algorithm using wampserver 2.4, MATLAB R2013A The Math Work Inc. and My Sql database 5.0. New improved WPR hold efficiency above average and also significant improved relevancy. As a result, improved relevancy results in higher precision.
Low Complexity Design of Ripple Carry and Brent–Kung Adders in QCA

The design of adders on quantum dot cellular automata (QCA) has been of recent interest. While few designs exist, investigations on reduction of QCA primitives (majority gates and inverters) for various adders are limited. In this paper, we present a number of new results on majority logic. We use these results to present efficient QCA designs for the ripple carry adder (RCA) and various prefix adders. We derive bounds on the number of majority gates for -bit RCA and -bit Brent-Kung, Kogge-Stone, Ladner-Fischer, and Han-Carlson adders. We further show that the Brent-Kung adder has lower delay than the best existing adder designs as well as other prefix adders. In addition, signal integrity and robustness studies show that the proposed Brent-Kung adder is fairly well-suited to changes in time-related parameters as well as temperature. Detailed simulations using QCADesigner are presented.
Quadratic Model for Reference Based Image Filtering

We introduce a reference-based filtering method that transforms the local color distribution of each image patch. In the method, the color of a reference image is transformed so as to get close to a noisy input image by patch-wise color transformation. Our filter formula can be regarded as a generalized version of the reference-based filtering approaches including our previous method [1] and the guided filter [2], and it realizes more flexible transformations. Additionally, we apply our filter to a multiple exposure image integration problem in which we use a flash/no-flash image pair to acquire a dark scene and perform denoising of the no-flash image deteriorated with sensor noise. Our method is especially useful for the acquisition of dark scenes without losing the contrast of images. Simulations with actual noisy images show the validity of the proposed method.
Military Strategies for Samhandling in Unforeseen Situations – A Historical Perspective

The purpose of this chapter is twofold. Firstly, a rather paradoxical situation will be discussed. Even though most military practitioners seem to agree on the characteristics of war, two almost diametrically-opposed norms for how to samhandle have arisen: a centralized one and a decentralized one. We argue that the decentralized approach, called Auftragstaktik, is the most effective. In the second part of the chapter we discuss the pedagogical challenge of educating personnel to thrive in a decentralized organization, which must operate effectively in unforeseen and threatening environments. Based on the teachings of Moltke the Elder (1800– 1891) and the much more recent writings of Torgersen, Steiro and Saeverot (2015), we argue that a crucial step in educating for the unforeseen is to give the students the opportunity to solve new problems by themselves, gaining experience that is, as far as possible, self-generated and thereby becoming more aware and confident in dealing with new situations.
Throughput Improvement of a Range-aware WiFi network by Minimizing Signal Interference

In the smart-phone era, many WiFi devices around us need higher throughput and larger signal coverage which also generate unwanted signal interference among the devices. Signal interference is inevitable problem because of the broadcast nature of wireless transmissions. However, the interference could be minimized by reducing signal coverage of nearby wireless devices. But, smaller signal coverage means low transmission power and low data throughput. In the paper, we analyze the relationship among signal strength, coverage and interference of WiFi networks, and as a tradeoff between transmission power and data throughput, we propose a rangeaware WiFi network scheme which controls transmission power according to locations and RSSI of WiFi devices. We analyze the efficiency of the proposed scheme by simulation. Keywordssignal interference; range-aware; data throughput; WiFi network,;signal coverage
Perceived Barriers to Help Seeking for Psychosis among Secondary School Students in Lagos , Nigeria

Aim: To assess the barriers to help seeking for psychosis among adolescent students in Lagos Nigeria. Study Design and Methodology: Using a cross-sectional study design, 156 adolescent students attending a public co-educational secondary school in Lagos, south-West Nigeria completed a vignette-based questionnaire which assessed barriers to help-seeking for psychosis. The vignette depicted an adolescent with psychosis (schizophrenia). Results: The mean age of the participating students was 15.9 (±1.1) years and 49% were males. The most frequently reported barrier to help-seeking was stigma (42.5%). Others included illnessOriginal Research Article Adeosun et al.; BJESBS, 9(2): 153-160, 2015; Article no.BJESBS. 2015.135 154 related barriers (23.0%), disapproval by friends/families (15.8%), negative perceptions about treatment (9.4%), preference for spiritual cure (7.2%), financial constraints (7.2%), and ‘not knowing what to do’ (5.8%). Conclusion: Potentially modifiable barriers especially stigma, disapproval by social network and misperceptions about treatment hinder help-seeking for psychosis among the studied adolescents.
The Future of Classification in Wheelchair Sports: Can Data Science and Technological Advancement Offer an Alternative Point of View?

PURPOSE Classification is a defining factor for competition in wheelchair sports, but it is a delicate and time-consuming process with often questionable validity. New inertial sensor-based measurement methods applied in match play and field tests allow for more precise and objective estimates of the impairment effect on wheelchair-mobility performance. The aim of the present research was to evaluate whether these measures could offer an alternative point of view for classification. METHODS Six standard wheelchair-mobility performance outcomes of different classification groups were measured in match play (n = 29), as well as best possible performance in a field test (n = 47). RESULTS In match results, a clear relationship between classification and performance level is shown, with increased performance outcomes in each adjacent higher-classification group. Three outcomes differed significantly between the low- and mid-classified groups, and 1, between the mid- and high-classified groups. In best performance (field test), there was a split between the low- and mid-classified groups (5 out of 6 outcomes differed significantly) but hardly any difference between the mid- and high-classified groups. This observed split was confirmed by cluster analysis, revealing the existence of only 2 performance-based clusters. CONCLUSIONS The use of inertial sensor technology to obtain objective measures of wheelchair-mobility performance, combined with a standardized field test, produced alternative views for evidence-based classification. The results of this approach provide arguments for a reduced number of classes in wheelchair basketball. Future use of inertial sensors in match play and field testing could enhance evaluation of classification guidelines, as well as individual athlete performance.
Total Variation Minimization with Finite Elements: Convergence and Iterative Solution

The numerical solution of a convex minimization problem involving the nonsmooth total variation norm is analyzed. Consistent finite element discretizations that avoid regularizations lead to simple convergence proofs in the case of piecewise affine, globally continuous finite elements. For the approximation with piecewise constant finite elements it is proved that convergence to the exact solution cannot be expected in general. The iterative solution is based on a regularized $L^2$ flow of the energy functional, and convergence of the iteration to a stationary point is proved under a moderate constraint on the time-step size. The extension of the techniques to an energy functional that involves a negative order term is discussed. Numerical experiments that illustrate the theoretical results are presented.
Reductions of Hilbert's tenth problem

Hilbert's tenth problem is to find an algorithm for determining whether or not a diophantine equation possesses solutions. A diophantine predicate (of positive integers) is defined to be one of the form where P is a polynomial with integral coefficients (positive, negative, or zero). Previous work has considered the variables as ranging over nonnegative integers; but we shall find it more useful here to restrict the range to positive integers, no essential change being thereby introduced. It is clear that the recursive unsolvability of Hilbert's tenth problem would follow if one could show that some non-recursive predicate were diophantine. In particular, it would suffice to show that every recursively enumerable predicate is diophantine. Actually, it would suffice to prove far less.
Diagnosis and Treatment of a Red, Swollen Eye

Unilateral eye swelling, redness, and pain may represent a diagnostic challenge to many clinicians. The differential diagnosis is broad and includes both nonemergent and emergent diagnoses. While the emergent diagnoses must be made and treatment initiated immediately, the nonemergent differential also includes life- and vision-threatening entities. The diagnosis of idiopathic orbital inflammatory syndrome (IOIS) is characterized by acute-onset, typically unilateral periorbital swelling, chemosis, and proptosis. It can be differentiated from other entities by radiologic findings and rapid response to corticosteroids; however, it is often a diagnosis of exclusion. We report a case-based discussion including distinguishing features, diagnostic modalities, and treatment of similar entities involving periorbital/orbital edema and conjunctival injection complicated by a past medical history of breast cancer.
The role of cattle as hosts of Glossina longipennisat Galana Ranch, south‐eastern Kenya

Abstract. Glossina longipenniswere recorded visiting and engorging on cattle in an enclosure and on a single ox in a crush using transparent electrocuting nets in an incomplete ring. Of the total flies caught, 3–6% of males and 5–6% of females in the total catches were engorged (a feeding success rate of up to 16.6% and 12.6%, respectively, depending on assumptions made about the proportion which had an opportunity to feed). Direct observation of tsetse from an observation pit showed 57% landing on the front legs, 13% on the hind legs, and 11 % on the belly of the host. The largest number of bloodmeals was taken from the front legs, although only 14% of landings there terminated in feeding; a higher proportion of the flies alighting on the hind legs and flank succeeded in feeding (28% and 21% respectively). Glossina longipenniswere attracted to targets baited with ox odour from an underground pit in a dose‐dependent manner. Odour of humans was much less attractive to G.longipennisthan that of oxen (for equivalent biomass). Analysis of bloodmeal samples from tsetse caught in two sites on die ranch showed that G.longipennispreferentially feeds on suids, bovids and hippopotamus.
Direct synthesis of transmission line low-/ high-pass filters with series stubs

A direct synthesis procedure is presented for the design of transmission line low-/high-pass filters with series stubs. The proposed prototype consists of a cascade of series stubs of electrical length uc alternating with uniform transmission lines of electrical length 2uc. An exact network synthesis technique is applied on the fully frequency-distributed transmission line filter structures. By short-circuiting these series stubs, a low-pass prototype can be established to synthesise the filters with both predictable in-band and out-of-band behaviours. Instead, if the series stubs are open-circuited, a quasi-high-pass or wide band-pass filter can be designed with specified frequency bandwidth and centre frequency. Based on the formulation of a transfer function, a set of closed-form design formula is derived so that the synthesis design can be carried out for the proposed filters with Chebyshev equal-ripple frequency responses in the concerned lowand high-pass bands. As design examples, two five-pole planar filters based on the lowand high-pass topologies are implemented by using hybrid slotline and coplanar-waveguide structures. After final optimisation is executed via full-wave electromagnetic software to take all the discontinuities into accounts, two designed filters are fabricated and measured to verify the proposed synthesis approach and confirm the theoretical predictions.
Synthetic double-stranded RNA polyinosinic-polycytidylic acid augments morphine-induced conditioned place preference in rats

Three experiments were performed to study the effects of immune challenge on the rewarding properties of opiates. Intraperitoneal injection of polyinosinic-polycytidylic acid (Poly I:C, 1 mg/kg) was used to trigger an immune challenge. Conditioned place preference (CPP) in rats trained with alternating subcutaneous injections of morphine (5 mg/kg) and saline was used to assess the rewarding effect of morphine. Poly I:C administered before CPP training had no effects on CPP acquisition. Poly I:C administered during CPP training enhanced CPP acquisition. Poly I:C administered after morphine-induced CPP acquisition retarded CPP extinction. These results show that the immune challenge by Poly I:C augmented morphine CPP in rats depending on the onset time of the challenge. The findings suggest that immune challenge may enhance the rewarding properties of opiates.
Achieving One Billion Key-Value Requests per Second on a Single Server

Distributed in-memory key-value stores (KVSs) have become a critical data-serving layer in cloud computing and big data infrastructure. Unfortunately, KVSs have demonstrated a gap between achieved and available performance, QoS, and energy efficiency on commodity platforms. Two research thrusts have focused on improving key-value performance: hardware-centric research has started to explore specialized platforms for KVSs, and software-centric research revisited the KVS application to address fundamental software bottlenecks. Unlike prior research focusing on hardware or software in isolation, the authors aimed to full-stack (software through hardware) architect high-performance and efficient KVS platforms. Their full-system characterization identifies the critical hardware/software ingredients for high-performance KVS systems and suggests optimizations to achieve record-setting performance and energy efficiency: 120~167 million requests per second (RPS) on a single commodity server. They propose a future many-core platform and via detailed simulations demonstrate the capability of achieving a billion RPS with a single server platform.
Image Processing by Bilateral Filtering Method

In this paper, we propose a new method to construct an edge-preserving filter which has very similar response to the Gaussian filter which is known as bilateral filter. Bilateral filter smoothens the image while preserving edges, by means of a nonlinear combination of nearby image values. It combines gray levels or colours based on both their geometric closeness and their photometric similarity and prefers near values to distant values in both domain and range. In contrast with filters that operate on the three bands of a colour image separately, a bilateral filter can enforce the perceptual metric underlying the CIE-Lab colour space and smooth colours and preserve edges in a way that is tuned to human perception. Also, in contrast with standard filtering, bilateral filtering produces no phantom colours along edges in colour images and reduces phantom colours where they appear in the original image. In this paper, we also introduced the image cartooning which is an application of bilateral filtering. Cartooning is one of the most extensively used procedures, be it a gaming world, animation or the entertainment industry.