Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Implementation of Wifi Controlled Robotic Rover based on Raspberrypi and Arduino

The present manuscript deals with controlling a robot over Wi-Fi and maintaining an economical management over a machine. Basically we've got an Arduino (Atmega 8) that we have a tendency to use to attach to 2 motors and manage them. Then we have a RaspberryPi which our iPhone, iPad or laptop can power. The RaspberryPi sends data to Arduino from your computer telling it what to do. The Pi is causing the info through the Wi-Fi electronic device and therefore the management is maintained by a pc running Putty or Telnet.
The scope of a quantum channel

The capacity of a classical channel is a single number that to a large extent captures its ability to transmit information. Though analogous notions exist for quantum channels, the use of a single number is not particularly informative. For instance, any basis of the state space can be used to represent classical bits, and each representation leads to a classical channel with a capacity all its own. So the ability of a quantum channel to transmit information should minimally depend on all of the different ways classical bits can be represented: instead of a single number, we should measure it with a set of numbers. We call this set, which consists of the range of achievable classical capacities, the scope. For unital channels on qubits, we establish that scope is in fact a compact interval, provide an exact characterization of it and then show how to systematically calculate it. These results, which rely extensively on the algebraic structure of quantum channels, are then used to design an adaptive scheme for communication in which the participants can maximize the information transmitted after first determining the state of the environment (which we show how to do) and then performing a scope calculation. When this technique is applied to quantum cryptography, it becomes possible to minimize the error rate over any time interval where the environment remains stable. For familiar forms of noise, like bit flipping, the error rate is cut in half.
Deterministic I/O and Resource Isolation for OS-level Virtualization In Server Computing

Docker container technology is applied to diverse computing domains such as datacenter, serverless, cloud, and highperformance computing thanks to its predictable development and efficient resource isolation [1,2]. Docker can isolate the execution of specific applications from running other applications as Sandbox [3]. Specifically, users can explicitly set a resource limit for each service by using control groups (cgroups) and namespace. Therefore, different services can be free from conflicting dependencies and resource contention. Since this consistent environment supports completely isolated tenants, it is used to improve computing utilization and portability [4,5]. For example, LEMP (Linux, Nginx, MySQL, & PHP) in the Google cloud platform can create multiple tenants per node, each running a separate web server (Nginx), fast CGI (PHP-FPM), and database (MySQL) [6]. While Docker is one of the best options to increase the computing utilization by sharing and/or isolating its resources, it does not yet well manage underlying storage [7]. Docker’s virtualized environment enables multiple container executions atop the host-side kernel directly, which is different from hardware stack virtualization of the conventional virtual machines (VMs) [8]. Because of this OS-level virtualization, launching a container is much faster and lighter than executing a VM [9]. However, the multiple containers and host kernel often share the persistent states on a solid-state drive (SSD), which can unfortunately interfere with their executions and I/O services of any peers at a device-level (Figure 1). As modern SSDs in practice exploit internal parallelism to enhance performance [10, 11], such interference introduces many storage resource conflicts, thereby degrading the performance. To manage the storage resource, ones may utilize proportional bandwidth of the blkio cgroup adopted by Docker [12] and assign different proportions to each of multiple containers, individually. However, this approach cannot address the interference issue for multi-container execution due to two root causes. First, even though the blkio cgroup throttles the target I/O queue with different proportions [13], the flash-level resource conflicts cannot be resolved as the host is unaware 0 30 60 90 120 0 400 80
Climate change and viticulture: A European perspective on climatology, carbon dioxide and UV‐B effects

Predicted changes in the climate of European viticultural regions over coming decades may alter significantly both the spectrum and the distribution of grape varieties currently used. Changes observed over recent years confirm those predictions. In particular, shifts in precipitation patterns will affect most European regions, with increased risk of drought, and given this scenario, the consequences would be most dramatic for the Iberian peninsula. Soil practices may have to be adapted to account for changes in soil moisture and decay rates of organic matter. Rising CO2 concentration alone may increase grape production and water use efficiency, but more comprehensive studies predict decreases in yield when increasing temperature and changes in solar radiation are considered simultaneously. As part of those changes in solar radiation, levels of UV-B radiation will probably continue to rise, and will have a direct impact on grape composition and thus flavour development via alteration of secondary metabolites such as flavonoids, amino acids and carotenoids.
Novel Orchestration of Virtualization to Improve Cyber-security: Software Defined Infrastructure (SDI) as a Foundation for Clean-Slate Computing Security

In 2017 VMware Research launched a three-year research program in collaboration with the U.S. National Science Foundation (NSF), to achieve “Clean-Slate Computing Se-curity” by combining multiple threads of cloud-scaled and enterprise-grade virtualization and data-abstraction capabilities designed to advance the state of the art in key areas relevant to the national security and multinational cybersecurity. Specifically, this paper describes the program’s use of Software Defined Infrastructure (SDI) in novel fashion to secure network and data traffic through richer and deeper situational awareness, network micro-segmentation and automation all the way from the core datacenter, to the public clouds, to the edge of IoT and back. The SDI-CSCS approach extends the VMware core technology stack across the cybersecurity and virtualization landscape, and the paper outlines the academic and lab advances already reported. Further, the paper describes new uses of Machine Learning and algorithmic exploitation of the behaviors of the virtualized infrastructure, demonstrating more responsive and predictive systems in the event of attacks. The paper also describes the extension of the SDI approach for Internet of Things and edge-computing architecture security, for Kubernetes container environments, and points to potential security uses involving SDI in trusted hardware extensions and blockchain environments.
THE CARDIOPROTECTIVE EFFECT OF ARGEMONE MEXICANA ON DOXORUBICIN INDUCED CARDIOTOXICITY IN RATS

: Cardiovascular diseases comprise the most prevalent serious disorders in the developed nations. Cardiotoxicity occurs during therapy with several drugs and may be the dose limiting factor in the treatment. In similar to Doxorubicin (antitumor) has been found to cause severe cardiac damage. Clinical and experimental investigations suggested that increased oxidative stress associated with an impaired antioxidant defence status initiates a cascade of reactions responsible for Drugs induced cardio toxicity. The interest to undertake this investigation is due to Argemone mexicana could be a potential source of natural antioxidant, that could have greater importance as medicinal agent in blocking or slowing oxidative stress related degenerative diseases. Argemone mexicana have been reported for in vitro oxidant activity. The present study aimed to evaluate cardioprotective potential screened in Doxorubicin induced cardiac stress in which Ethanolic Extract of Argemone Mexicana Leaves(EAML 200 mg/kg,400mg/kg) were administered to both Doxorubicin(15mg/kg i.p.) administered groups respectively. The present study concludes that restoration of Haemodynamic Parameters(BP,ECG),Biochemical parametsrs-cardiac markers(CK-MB,LDH,SGOT), antioxidant markers(MDA,CAT,SOD,GTH)) Histopahological indications. that increased oxidative stress plays a critical role in subsequent cardiomyopathy and heart failure associated with DOX treatment. These finding are in line with those observed by previous investigators The present investigation was designed to evaluate protective effect of EEAM leaves against DOX induced cardiotoxicity in rats. DOX induced cardiotoxicity and oxidative stress has been confirmed in many experimental models.
Employment, Output and Welfare Effects of Minimum Wages∗

Many countries are discussing substantial increases in the minimum wage. However, policy makers lack a comprehensive analysis of the macroeconomic implications of raising the minimum wage. This paper investigates how employment, output and welfare respond to increases in the minimum wage beyond observable levels – both in the shortand long run. To that end, I incorporate endogenous job search effort, differences in employment levels, and a progressive tax-transfer system into a search-matching model with worker and firm heterogeneity. I estimate my model using German administrative and survey data. The model can capture the muted employment response, as well as the reallocation effects in terms of productivity and employment levels found by reduced form research on the German introduction of a federal minimum wage in 2015. Simulating the model, I find that long-run employment increases slightly until the minimum wage is equal to 60% of the full-time median wage (Kaitz index) as higher search effort offsets lower vacancy posting. In addition, raising the minimum wage reallocates workers towards full-time jobs and high-productivity firms. Total hours worked and output peak at Kaitz indices of 73% and 79%. However, policy makers face an important inter-temporal trade-off as large minimum wage hikes lead to substantial job destruction, unemployment and recessions in the short-run. Finally, not all workers benefit equally from higher minimum wages. For women, who often rely on lowhours jobs, the disutility from working longer hours outweighs the utility of higher incomes. Moreover, high minimum wages force low-skill workers into long-term unemployment. I am grateful to Tom Krebs, Michèle Tertilt, Andreas Peichl and Sebastian Siegloch for their guidance and support during my PhD and thank Klaus Adam, Antoine Camous, Fabian Greimel, Andreas Gulyas, Felix Holub, Claudia Sahm, and participants at the Mannheim Macro Seminar for helpful discussions and comments. All errors are my own. Address: Department of Economics, University of Mannheim, L7 3-5, 68161 Mannheim, Germany. Email : moritz.drechsel-grau@gess.uni-mannheim.de. Website: www.moritzdrechselgrau. com
Mobile App Privacy and Security Recommendation Systems

With the rapid increase of smart phones, the number of mobile applications (Apps) have increased dramatically. Existing recommendation systems have recommended Apps to users based on the popularity of an App or based on the user’s interest in other Apps. However, these recommendation systems do not take into account the user’s privacy and security preferences. In this paper, I looked at two different recommendation systems that considers user privacy and security preferences.
Towards Unobtrusive Stress Detection

This paper presents a machine-learning method for unobtrusive stress detection system. The idea is to automatically monitor three components of the stress response, i.e. emotional, behavioural and physiological. The emotional response is monitored using smartphone’s microphone and emotional voice analysis. The physiological response is monitored using a sensor-equipped wristband and bio-signal analysis. And, the behavioural response is monitored using smartphone’s sensors and smartphone-usage analysis. All three modules are combined using machine-learning methods to predict stress levels. We present approaches to monitor three components of the stress response with preliminary results and an indication of the feasibility of the proposed system.
Improving Teaching and Learning through Chemistry Education Research: A Look to the Future

The complexity of chemistry has implications for the teaching of chemistry today. That chemistry is a very complex subject is shown from the research on problem solving and misconceptions that has dominated the field during the past 15 years. New programs, particularly those supported with NSF funding, that are based on making chemistry relevant through problem solving and collaborative learning hold promise for reforming chemistry education.
Implicit Affective Tagging

Implicit affective tagging is the process of automatically extracting affective tags for media content based on analysing a user experiencing the media. The process is implicit, because there is no need for the user to record any labels. For example, a music video could be tagged as exciting if the user was filmed shaking her head while watching it. The goal of this project is to develop a system to extract implicit affective tags for music videos based on physiological signals.
Genetic Relationships and Diversity among Pea (Pisum sativum L.) Genotypes Assessed using Agro-Morphological and Molecular Markers

Fifteen pea (Pisum sativum L.) genotypes were evaluated for their agro-morphological performance and molecular diversity during 2017-2018 and 2018-2019 seasons. Combined analysis of variance revealed that there are highly significant differences among pea genotypes tested for all agro-morphological traits studied. The phenotypic coefficients of variation (PCV) values were relatively greater than Genotypic coefficients of variation (GCV) for all traits; however, GCV values were near to PCV values for the traits, like plant height, pods/plant, 100 seeds weight and pod width. High heritability coupled with high genetic advance was obtained for, plant height, reflecting the presence of additive gene action for the expression of this trait. High to moderate heritability coupled with moderate genetic gain were exhibited for number of pods per plant, 100 seeds weight, pod length, seeds per pod, pod weight and number of branches per plant. The Euclidean Distance among all genotypes based on agro-morphological traits was relatively wide. ISSR and SRAP markers were used to study the molecular diversity among pea genotypes. The molecular marker parameters revealed that SRAP markers were more efficient than ISSR markers with regards to polymorphism detection and in distinction among pea genotypes. Also, both ISSR and SRAP markers were able to amplify unique bands specific to a particular genotype. A positive and significant correlation (r=0.389: p ≤ 0.001) between ISSR and SRAP matrix was observed according to Mantel's test. Also, significant correlation (r = 0.411: p ≤ 0.001) between the matrices of combined molecular markers data and agro-morphological data.
IPL 2019: Evaluating the performance of teams by DEA & SEM

The analysis of sports data, especially cricket is an interesting field. This paper investigates the efficiency of eight participating teams in the Indian Premier League 2019. We have used Data Envelopment Analysis (DEA), a Linear Programming (LP) based technique and Structural Equation Modeling (SEM) to evaluate the efficiency of the Decision Making Units (DMU) on the basis of DEA Scores. A real dataset of IPL 2019 is used for efficiency estimation.
Effect of Okra Spacing on the Growth and Yield of Okra (Abelmoschus Esculentus L. Moench) In a Jatropha – Okra Intercrop

Intercropping is usually employed to meet the demand for nutritionally balanced food for the world’s increasing population and release intense pressure on land use. The study was conducted to evaluate the compatibility of Jatropha-okra intercrop and also to identify the appropriate okra spacing when inter-planted with Jatropha-okra at the experimental site of the Federal College of Agriculture, Moor plantation, Ibadan on latitude 7o22N and Longitude 3o50E. The experimental design used was Randomized Complete Block Design (RCBD) comprising of five treatments in three replicates. It includes sole okra, sole Jatropha and three cropping system with varied okra spacing of 30cm x 40cm, 30cm x 50cm, 30cm x 60cm. Parameters assessed were plant height (cm), number of leaves and fruit yield. The result obtained revealed that Okra yield as a sole crop was similar to its yield under Jatropha intercrop which indicated that intercropping okra with Jatropha at its early stage will not affect the yield of okra plant. Even though growth of Jatropha and okra were better enhanced when okra was interplanted at 30x40cm, the impact on okra yield could not be established at the early stage of Jatropha plant growth.
Two mechanisms of damage to thyrocytes in Hashimoto’s thyroiditis Dwa mechanizmy uszkodzenia tyreocytów w zapaleniu tarczycy

Introduction. The development of the Hashimoto’s thyroiditis is the result of the damage to thyrocytes, apoptosis, and autoimmune cytotoxic action of lymphocytes. The aim of the study is to present ultrastructural changes in thyroid cells in the course of damage in Hashimoto’s thyroiditis. Patients and methods. The study involved 40 children: 20 children with Hashimoto’s thyroiditis and 20 children as a control group. Specimens for ultrastructural investigations were obtained during thyroidectomy. Ultrathin sections were contrasted with uranyl acetate and lead citrate and examined under the EM 900 Zeiss Germany Electron Microscope. Results. In the control group, the thyroid follicular cells were cuboidal or cylindrical and were lying on a thin basement membrane. Varied degrees of apoptosis were observed in the Hashimoto’s thyroiditis patients. The basement membrane of the follicles was thickened by deposition of numerous collagen fibers. The thyrocytes had irregular cell nuclei and an increased number of mitochondria in the basal pole. Different stages of thyrocyte necrosis were visible at the sites of contact between lymphocytes or plasma cells and thyrocytes. The nuclei of dying thyroid cells were deformed, the cisterns of the endoplasmic reticulum were swollen, and the cell membrane disrupted. Conclusion: Ultrastructural examinations of thyroid sections sampled from patients with Hashimoto’s thyroiditis suggest the following stages of process thyrocyte damage: thickening of the basement membrane caused by collagen deposition, thyrocyte apoptosis, stimulation of lymphocytes and plasma cells to cytotoxic reactions, and necrosis of thyrocytes damaged by the cytotoxic reaction. Pediatr. Endocrinol. 11/2012;3(40):9-16.
Nutrient impact of ayurvedic rasayana therapy in neurodegenerative disorders utilizing Ashwagandha

Ayurveda is a Sanskrit word which means "the scripture for longevity". It adapts a unique holistic approach to the entire science of life, health and cure. It is increasingly being realized that many of today's diseases are due to “oxidative stress” that results from an imbalance between formation and neutralization of free radicals. However, chronic psychological and physical stress can result in elevated cortisol levels. Some of the symptoms of elevated cortisol levels include anxiety, depression, hypertension, stressrelated fatigue, insulin resistance and obesity. Ayurveda envisages human being as a complex entity consisting of the physical body, sensory and motor organs, mind and spirit.The areas of special consideration in Ayurveda are geriatrics, rejuvenation, nutrition, immunology, genetics and higher consciousness. The Ayurvedic texts describe a set of rejuvenative measures to impart biological sustenance to the bodily tissues. These remedies are called Rasayana.The word Rasayana (Rasa +Ayana) means the way for attaining excellently Rasadi dhatus for nutrition and transportation in the body which are claimed to act as micronutrients tissues besides producing antistress, adaptogenic and memory enhancing effect. Ashwagandha is characterized as a best among “rasayana,” described by Charaka . It is an adaptogenic herb ; popular in Ayurvedic medicine and has been used for more than 2,500 years. [ Adaptogens help the body to adapt or adjust to stress]. It’s used to promote physical and mental health, to defend body against disease and damaging environmental factors, and to slow down the ageing process. Ashwagandha helps lower cortisol levels in chronically stressed individuals. It’s valued for its thyroid modulating, neuroprotective, anti-anxiety, antidepressant and anti-inflammatory properties. Thus in turn prevents ageing and provides longevity which can be understood as Vayasthapana or Jaranashana.
ASSESSMENT OF SANDBAG DIKE INTERFACE SHEAR USING TWO DIRECT SHEAR DEVICES

This paper describes large-scale and small-scale direct shear tests on soil-geosynthetic, grass-geosynthetic, and geosynthetic-geosynthetic interfaces representing material interfaces that exist in sandbag dikes. Both woven geotextiles (woven slit film polypropylene) and polyethylene sheet were tested in combination with a cohesionless soil and typical grass sod. The large-scale shear apparatus used has a 1.0m interface area, which minimizes edge effects on the interaction between the surfaces being tested. Small-scale direct shear tests using a typical direct shear apparatus (62mm x 62mm box) have also been conducted to compare with the large-scale results. The results are summarized using interpreted Mohr-Coulomb failure parameters to quantify the cohesive and frictional characteristics for each interface. The importance of the results with respect to understanding the behaviour of sandbag dikes under typical hydraulic operating conditions is also presented. RÉSUMÉ Ce rapport décrit des tests directs à grande échelle et à (small-scale) fait sur des interfaces du sol-géosynthétique, du gazon-géosynthétique et du géosynthétique-géosynthétique qui représentent des interfaces essentielles qui existent dans des digues renforcer avec des sacs de sable. Tous les deux, les géosynthétiques tissés (une couche de fente de polypropylene) et une feuille de polyéthylène ont été testés, ainsi que des sols sans cohésion et des mottes de gazon typiques. L’appareil de tonte utiliser consiste d’une aire de 1,0m2, ce qui minimize les effets du bord des interactions entre les surfaces testées. Les tests directs à (small-scale) qui utilisent un appareil pour arracher typique (une boîte de 62 mm par 62 mm) ont été comparé avec les résultats à grande échelle. Pour quantifier les caractéristiques cohésives et de friction pour chaque interface, les résultats sont résumées en utilisant les paramètres d’échec interprêter par MohrCoulomb. Il y a aussi la présentation qui démontre l’importance des résultats en ce qui concerne la compréhension du comportement des digues de sacs de sable sous des conditions typiques de l’opération hydraulique.