Miracle-dz/UniFAR-FTUs huggingface dataset:
Enabling Fog Computing over Delay/Disruption-Tolerant Networks

—Fog computing enables a multitude of resource- constrained end devices (e.g., sensors and actuators) to beneﬁt from the presence of fog nodes in their close vicinity, which can provide the required computing and storage facilities instead of relying on a distant cloud infrastructure. However, guaranteeing stable communication between end devices and fog nodes is often not trivial. Indeed, in some application scenarios such as mining operations, building sites, precision agriculture, and more, communication occurs over Challenged Networks e.g., because of the absence of a ﬁxed and reliable network infrastructure. This paper analyzes the applicability of Fog Computing in a real Industrial Internet of Things (IIoT) environment, providing an architecture that enables disruption-tolerant communication over challenged networks and evaluating the achieved performance on an open-source prototype implementation.
Tax Progressivity, Economic Booms, and Trickle-Up Economics

We propose a method to decompose changes in the tax structure into orthogonal components measuring the level and progressivity of taxes. While our focus is on the progessivity results, we find that the level shock is similar to standard tax shocks found in the empirical literature in that a rise in the level is contractionary. We find that an increase in tax progressivity sets off an economic boom. When tax progressivity increases, those at the bottom of the income distribution experience an increase in disposable income; these consumers have a high marginal propensity to consume, and this increase in income results in a consumption boom which expands the overall economy. This overall economic expansion benefits those at the top of the income distribution as well, and the income and capital gains they experience as a result of the economic boom more than offset the losses they experienced due to the increase in tax progressivity. The net result is that an increase in progressivity leads to an increase in inequality, not a decrease as conventional wisdom would suggest. We interpret these results as evidence in favor of trickle up, not trickle down, economics.
Conversor CC-CC de Alto Ganho Boost-Quadrático-Duplo-Flyback A High Step-Up Quadratic-Boostdouble-Flyback DC-DC Converter

The conditioning between voltage sources with low amplitude and loads that requires high voltage levels, especially for power above 500 W, is showing as a challenge to be solved. In this context, this paper presents a new high-gain converter based on coupled inductors and boostquadratic structure. The proposed converter uses only one switch, coupled inductors and output capacitors with low capacitance. The topology allows the use of energy from the leakage inductors and enables the input current to operate in the continuous mode. The validation of the concepts was carried out on a prototype of 1 kW with an input voltage between 48 V and 96 V and an output voltage of 800 V. The experimental results were consistent with the theory, the converter allowed high voltage gain and high efficiency for wide range of power, in addition to the energy utilization of the leakage inductances.
L2 production of Estonian quantity degrees

The Estonian quantity system involves three contrastive patterns referred to as short (Q1), long (Q2) and overlong (Q3) quantity degrees. Our previous studies have shown that for L2 learners the distinction between Q2 and Q3 is a difﬁcult task in both production and perception. While Q1 and Q2 structures are always distinguished in the orthography, this is not the case in most Q2 and Q3 words excluding the words with plosives between ﬁrst and second syllable vowels (see examples later in the text). Thus, the orthography might be the reason for the use of the same L2 production pattern for both Q2 and Q3. The current paper studies the role of L2 orthographic input on the L2 production of Estonian quantity degrees by two groups of subjects with different language backgrounds: Finnish and Russian. The material used in the study involves word structures with and without orthographic manifestation of quantity contrasts. The results conﬁrm the role of Estonian orthography on the L2 pronunciation, however, the two L2 subject groups show different prosodic patterns.
The FLM conjecture and framed VOA

In this article we review the proof of a weak version of the FLM conjecture in [LY2]. Namely, we prove that a holomorphic c = 24 framed vertex operator algebra is isomorphic to the moonshine VOA if and only if its weight one subspace is trivial. A brief review on the theory of framed VOA is also given.
Reaction of cell membrane bilayers “as a variable capacitor” with G-protein: a reason for neurotransmitter signaling

Cell membranes have unique features to store bio-energy in the physiology subjects. This work demonstrates a model of biological capacitors in the phospholipids bilayers membrane including DPPC, DOPG, DOPE, DOPS and DMPC structures. The electron densities profiles, electron localization function (ELF) and local information entropies have been used for studyng the interaction of G-proteins with phospholipid bilayers. The quantum and columbic blockade effects in different sizes and thicknesses of the membrane have also been specifically studied. It has been shown the quantum effect might appear in the small regions of the free spaces through membrane thickness due to the number and variant of phospholipids layer. In addition, based on Heisenberg rule, it has been exhibited the quantum tunneling effects are allowed the micro position while they are not allowed in other shapes of membrane capacitors. Due to the dynamical behavior of the bilayers in the membrane, their capacitances are not fixed which mean they are variable capacitors. Although the G protein successor does not interact to the phospholipid bilayers but stabilizes a true activated situation of the receptor, for stabilizing an activated conformational structure is tightly influenced through the lipidic situation in G proteins in viewpoint of capacitors model. Through an external field the G- protein trance membrane, charges exert forces that can influence the state of the cell membrane. Consequently the charge capacitive susceptibility could resonate with self-induction of helical coils in the (GTP) or (GDP) likes digital switches. These resonances are the main reason for any biological pulses in cell signaling cooperation.
Sewage Poisonous Gas Monitoring Using FPGA

In fast moving world, people are keener on developing and solving technological problems, they don’t consider about the minor issues which could drown human lives. One of such inconspicuous social is poisonous gas which leads to many sewer workers risking their lives. Hence in this paper, the effective solution has been provided for sewage poisonous gas monitoring. It uses various type of sensors to monitor parameters present in sewage like gas, temperature, ultra-sonic sensor etc. Analog values from sensors are converted into digital values using analog digital convertor and these values are given to signal conditioning circuits and are monitored using field programmable devices. When the threshold value is lesser than the sensed values, it will give us alert in form of buzzer, seven segment display, led. This type of indication will help sewer employee to protect their lives from risk and harmful disease.
Additive manufacturing of Scalmalloy® satellite parts

Laser Beam Melting technology is of particular interest for satellite parts due to their small number, their complexity and to the goal of lowering their mass. Today, however, the mechanical performance to weight ratio is limited by the choice of available materials. Focusing on the high mechanical performance offered by Scalmalloy® and the industrial scale-up required for the production of large parts, the first objective of this study was to develop the appropriate process parameters. The second step focused on thermal treatment selection and thermal deformation simulation. The final stage was dedicated to the manufacturing of full-size parts and industrialization.
Sri Aurobindo’s Vision and the 20 Century: Physics and the Philosophy of Evolution

Few among humanity have yet undertaken the challenge, availed the opportunity, transcended their conventional mental formulas, and achieved the clarity of intention necessary to see the vision of Sri Aurobindo. Fewer have gone so far as to integrate his vision into their thought and life, and so to understand it fully, to grasp its historical significance, and to realize its force, its evolutionary potential. Therefore it can truly be said that Sri Aurobindo belongs to the future. And yet his vision, and the thought forms and literary expressions that he created to embody it, are vibrant within the epoch of human achievement known as the 20 Century – that moment in time and the history of civilization that can be understood as the culmination of the rational cycle of human development and the beginning of a suprarational, integral cycle like a subtle ether flowing through everything.
A Feature-Driven Decision Support System for Heart Failure Prediction Based on χ2 Statistical Model and Gaussian Naive Bayes

Heart failure (HF) is considered a deadliest disease worldwide. Therefore, different intelligent medical decision support systems have been widely proposed for detection of HF in literature. However, low rate of accuracies achieved on the HF data is a major problem in these decision support systems. To improve the prediction accuracy, we have developed a feature-driven decision support system consisting of two main stages. In the first stage, χ2 statistical model is used to rank the commonly used 13 HF features. Based on the χ2 test score, an optimal subset of features is searched using forward best-first search strategy. In the second stage, Gaussian Naive Bayes (GNB) classifier is used as a predictive model. The performance of the newly proposed method (χ2-GNB) is evaluated by using an online heart disease database of 297 subjects. Experimental results show that our proposed method could achieve a prediction accuracy of 93.33%. The developed method (i.e., χ2-GNB) improves the HF prediction performance of GNB model by 3.33%. Moreover, the newly proposed method also shows better performance than the available methods in literature that achieved accuracies in the range of 57.85–92.22%.
ON THE ANALATICAL SOLUTIONS AND NUMERICAL VERIFICATIONS OF THE TWO-PHASE WATER FAUCET PROBLEM

The one-dimensional water faucet problem is one of the benchmark problems originally proposed by Ransom for two-phase flow studies. The test problem consists of a vertical pipe, which is initially filled with a uniform column of liquid moving with a prescribed initial velocity and an annulus of gas sitting still. At the top boundary, liquid is supplied at the same velocity as the initial velocity, and the bottom of the pipe opens to the ambient. Due to the gravity effect, the liquid column accelerates and becomes thinner as it descends. With certain simplifications, such as massless gas phase and no wall and interfacial frictions, analytical solutions had been previously obtained for the transient liquid velocity and void fraction distribution. This test problem and its analytical solutions have been widely used for the purposes of code assessment, benchmark and numerical verifications. In our previous study, it was used for the mesh convergence study of a high-resolution spatial discretization scheme. It was found that, at the steady state, an expected second-order spatial accuracy could not be achieved when compared to the existing analytical solutions. A further investigation showed that the existing analytical solutions do not actually satisfy the commonly used two-fluid single-pressure two-phase flow equations. In this work, we will demonstrate the derivation of an extension of Ransom’s transient solutions with the assumption of separate water and gas pressures and a new set of analytical solutions for the steady-state conditions with the single pressure assumption. The transient analytical solutions are compared to the numerical results with a first-order and a high-resolution spatial discretization schemes. The steady state analytical solutions are used for mesh convergence studies, from which expected second-order of accuracy is achieved for the 2 order scheme.
Risk assessment of amoebic gill disease the draft opinion

too scarce to make any assessment of the significance. The amoeba may be transmitted from fish to fish. Based on a theoretical analysis, traditional hygienic measures, such as coordinated treatment and fallowing, could reduce the severity of transmission and infection in enzootic areas. Furthermore, in an outbreak situation, it is reasonable to assume that the local pressure of infection correlates with the number of affected fish.
DiBiCol ® - Development of a Multigene Diagnostic Test for the Differentiation of Inflammatory Bowel Disease Subtypes

Accurate diagnosis of inflammatory bowel disease (IBD) and differentiation between its two major subtypes, Crohn’s disease (CD) and ulcerative colitis (UC), are crucial for planning optimum treatment strategies. However, as these related diseases share many pathological, histological and serological features, their differential diagnosis can be difficult in practice. We have been able to identify seven biomarkers which, following further evaluation, proved to be very effective in discriminating UC from CD and excluding irritable bowel syndrome. These biomarkers and a specially developed algorithm were incorporated into a quantitative polymerase chain reaction (qPCR)-based diagnostic test launched on the Swedish market in 2009 under the tradename DiBiCol ® (InDex Pharmaceuticals AB, Stockholm). DiBiCol allows to quickly and reliably determine the correct IBD subtype, thereby ensuring a more appropriate treatment of patients.
Use of Wearable Devices in Health Monitoring: A Review of Recent Studies

About 15% of the world’s population lives with a disability according to the annual world report on disability [45]. Moreover, 100 to 190 million individuals face significant difficulties in functioning. For instance, about 70 million people suffer from movement disorders, such as Parkinson’s disease (PD), essential tremor (ET), epilepsy, and stroke [14]. State-of-the-art methodologies for diagnosis, treatment, and rehabilitation of this population rely on evaluations by medical professionals in a clinical environment [19]. However, as soon as patients leave the clinic it is not possible to monitor their symptoms due to lack of standard approaches [19]. Recent work suggests that wearable internet-of-things (IoT) devices that combine sensing, processing, and wireless communication can help in improving the quality of life of this population [18, 22, 32, 38]. Wearable sensors and mobile health applications are emerging as attractive solutions to augment clinical treatment and enable telepathic diagnostics [1, 14, 19]. Wearable devices have been recently used for monitoring of patients in a free-living home environment [28]. This capability allows doctors to understand the progression of symptoms over time [12]. Wearable devices have also shown promising results in the diagnosis and management of many movement disorders. For example, studies in [36, 44] use wearable sensors and machine learning algorithms to identify ET in patients. Similarly, Ryvlin et al. employ wearable devices to identify biomarkers that enable detection of generalized tonic-clonic seizures in patients with epilepsy [41]. Wearable technology has also been widely used in the diagnosis and treatment of PD patients [11, 48]. Despite these promising results, widespread adoption of wearable sensors and devices has been limited. Instead, they have been primarily used in research studies that occur in a more controlled environment. This review summarizes how wearable devices are used in health monitoring. Specifically, it overviews the use of wearable devices in diagnosis, monitoring, and rehabilitation of movement disorders. Then, it discusses the major challenges and potential solutions to the adoption of wearable devices.
Design of a Hands-Free Interface for Robot Object Relocation for Paralyzed Individuals

All devices we interact with rely on a physical control interface in order for the user to command the system. The current “one-size fits all approach” to control-interfacing prevents nearly three million severely paralyzed consumers in the United States from being able to operate devices. This shortcoming even applies to technologies specifically designed to assist paralyzed persons. Such object relocation robots are designed to reduce nursing/assistance costs and improve the quality of life. These robots consist of a platform, an arm, and a gripper; each of which must be commanded by the user and controlled with precision. This paper describes the design of a Hands-free Interface for object relocation using a robot for paralyzed individuals. The design requirements were developed for a handsfree robotic-aid to be operated by an individual who is paralyzed using a three-degree of freedom kinematic simulation of 500 “fetch-and-deliver” tasks (consisting of random start and finish locations and arbitrary object to pick) for a robotic aid in a domestic setting. The simulation identified that six unique commands were necessary for platform movement, 500 for the arm, and two for the gripper. For these tasks, the top three commands for platform movement are: turn 18.5 degrees, move forward 5.2 meters, and turn 25.3 degrees. The high number of commands for the arm and gripper prevent a purely usercommanded interface from being feasible. To overcome this roadblock, an automated arm and gripper function is proposed. Once the robot platform is in range of the desired object, the function uses vision and other sensors to automatically position the arm and gripper to acquire the object utilizing a taggedobject camera image of the environment. A utility vs. life-cycle cost analysis is conducted on the following three design alternatives for hands-free platform commands: eye-tracking, brain-computer interface (BCI), and voice-commands. The utility function includes attributes such as capability, performance, proportion of paralyzed persons physically capable of using the interface, and technology readiness level (TRL). BCI is able to support the largest portion of potential users, but has the lowest utility (0.414) due to the limited number of input commands, significant calibration time costs, low TRL. Voice commands exhibited a marginally higher utility (0.8455) than the eye-tracking method (0.822). This difference is attributed to the increased number of commands and flexibility provided by voice-command technology. In a lifecycle cost vs. utility analysis, the voice-command method reveals half the cost of the eye-tracking method. To compete with existing user-interfaces, BCI technology must demonstrate a capabilities improvement of 200% and a performance increase of 73%. The Hands-Free Interface technology will have potential applications toward object relocation and vehicle guidance for non-disabled operators who are looking to multitask. Keywords— HMI, Human Machine Interaction, EEG, BCI
Perception of internet addiction among psychiatric residents in an urban area in Indonesia

BACKGROUND In the last two years, many suspected cases of internet addiction have been reported by the media. However, many physicians do not have comprehensive knowledge of internet addiction. Currently, there has been no study conducted among psychiatric residents. This study was aimed to determine the perception of internet addiction among psychiatric residents. METHODS This cross-sectional study was done from April to May 2018. Subjects were recruited by a total sampling method consisting of all psychiatric residents of the Faculty of Medicine, Universitas Indonesia. Perceptions of internet addiction were measured using the illness perception questionnaire revised version for addiction. The calculation of subscales was based on the algorithms available for this instrument. The Mann–Whitney U test was used to determine the association of different years of psychiatric education and the perception of internet addiction. RESULTS Fifty-two subjects completed the survey, and 85% of them reported feeling that they did not have adequate knowledge of internet addiction. They believed that their current knowledge was not sufficient to make diagnosis and management decisions. Junior residents had significantly lower consequence scale scores, with mean (standard deviation) scores of 4.1 (0.54) for juniors and 4.4 (0.48) for seniors (p = 0.021). CONCLUSIONS Psychiatric residents perceived internet addiction as emotionally stressful, understandable, and cyclical, but difficult to control. Senior psychiatric residents had a better perception internet addiction consequences compared with their juniors, who have received only basic knowledge about addiction without clinical exposure, but the perceptions could still be improved.
TRABALHO DE GRADUAÇÃO A PROPOSAL TO AUTOMATE SERVICE PROVISIONING IN SERVICE PROVIDERS BASED ON SOFTWARE DEFINED NETWORKING

This work proposes a useful network model to automate service provisioning in service providers based on software-defined networking. We performed a study case based on the proposed model and simulated it over an emulated network in Mininet to verify the proposed features. In the study case, we designed and developed a solution to implement fast and automatic service provisioning; and control network utilization in a customized approach. Therefore, we provided a solution that allows network operators to implement new monetization strategies by delivering customized service levels automatically to different users.
Effect of antioxidant vitamin supplementation on erythrocyte membrane composition in Type I diabetes mellitus in context of oxidative stress

In diabetes mellitus, the high incidence of microvascular and atherosclerotic disorder has been seen which are associated with abnormalities of erythrocyte composition , rheological function and with increased oxidative stress among many other factors. Human erythro-cytes are perhaps the cells most exposed to peroxidation damage by free radicals. In view of this erythrocyte membrane composition of type I diabetic patients was analyzed before and after supplementation of vitamin (E +C) along with insulin and compared with those pa-tients who were on only insulin treatment. All Subjects were selected from Out Patient de-partment of Pad. Dr. D.Y. Patil Medical College: Pimpri and Dr. V.M. Medical College: So-lapur during the period of April 2006 to April 2008. The result showed , significantly de-creased (p< 0.001) concentration of Glycated hemoglobin, serum MDA and membrane cho-lesterol and significantly increased erythrocyte reduced glutathione, membrane phospholip-ids ( p<0.05,p<0.001 respectively) after three months follow up of vitamin ( E+C) supple-mentation along with insulin in type I diabetic patients. The present study may conclude that supplementation of vitamin ( E+C) along with insulin protect the erythrocyte mem-brane composition against such oxidative deterioration and may minimize variety of hema-tological abnormalities which further causes the complications in type I diabetic patient.
The Correlation Between Multiple Sclerosis and Helicobacter pylori Infection

1Internal Medicine Department, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran 2Neurology Department, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran 3Neurology Department, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran 4Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran Int J Enteric Pathog. 2016 August;4(3):e36402