Miracle-dz/UniFAR-FTUs huggingface dataset:
Floating Waste Scooper Robot On Water Surface

In developing countries, cleaning water surface is a routine task collecting a huge number of floating dry waste, such as plastic bottles, encounters tension on the water surface, and the garbage floats away due to the little drag force. The goal of this study is to create a robot that can perform floating trash scooping in place of humans, as well as to evaluate the effectiveness of the planned waste scoopers installed on the Floating Waste Scooper Robot. The design of the robot mechanism, waste scoopers, and control are all discussed. On a calm sea surface, the robot was successfully tested. Experiments were carried out on a pond, and the results reveal that changing the robot driving speed and the conveyor belt speed has an impact on garbage scooping. The capability of various scooper designs is assessed, and the weight of plastic bottles gathered by humans using scoop nets is compared to the weight collected by robots. Index Terms – Dry Waste, Robot, Scooper, Water Surface Cleaning, Image processing
Effect of different high surface area silicas on the rheology of cement paste ; Efecto de diferentes sílices de alta área superficial sobre la reología de pastas de cemento

This work studies the effect of nanosilica (NS) on the rheology of cement paste by comparing it with two high specific surface area silicas: silica fume (SF) and pyrogenic silica (PS). Portland cement pastes were produced with different water-to-cementing material ratios and different solid substitutions of cement by silica. Water demand, setting time, and rheology tests were performed. Results showed that NS and SF decreased plastic viscosity, while PS increased it. Only PS was found to have an effect on yield stress. NS showed the most decreasing effect on viscosity, regardless of its higher water demand. It was concluded that the behavior of pastes containing NS and SF is governed by the “ball-bearing” effect from silica particles, by their agglomeration degree, and their impact on the solid volume fraction. The behavior of pastes containing PS is governed by its ability to absorb a portion of the mixing water.
Phase Split in T-Junction Mini Channel – A Numerical Study

Abstract Extracting natural gas and crude oil from deep wells requires a thorough understanding of multi phase flow phenomena. Designing of micro reactors employing different fluids requires similar understanding on a micro scale. Gas-Liquid two-phase flow mixing and separation commonly occur in such oil exploration and recovery on a macro scale and in case of micro fluid reactors in a micro scale. In this paper, two-phase flow mixing and separation is analysed for a horizontal channel with internal diameter 2.50 mm and a length of 202.5 mm. The numerical results obtained during two-phase flow mixing are validated with experimental results by employing image processing techniques. A numerical model is developed to study mixing and separation characteristics of slug flow regime. The separation efficiency of the T-junction partial separator for various superficial velocities, viscosity, surface tension and separation angles is analysed. The analysis will be useful for designing mini/micro reactors.
A study to identify the nursing diagnosis among diabetic patients with a view to formulate nursing care plan

Background of study: Diabetes Mellitus (DM) is currently considered as an important health problem in terms of its prevalence, incidence and relationship to premature mortality, as well as due to costs involved to control and treat its complications. Nurses are involved in different types of health care. Nursing care is enhanced by nursing care plans which outline the nursing activities to be provided for a patient. Through this study we identify as much as possible nursing diagnosis of patient with diabetes and the common nursing diagnosis of diabetic patients. Also this study helps the nurses who have lack of knowledge regarding diagnosis of patient with diabetes.
Study of the spectrophotometric determination of Nickel II ion by Michler’sthioketon Reagent

A new simple, rapid and sensitive spectrophotometric method has been develop to determine copper (І) ions by using Michler s thioketone reagent (Ligand) to formed a dark brown complex at ( pH=3) , The complex was found to be with stability for (90 min) at the given pH , The complex formed in this method give obeys Beer’s law over the concentration range (3.211x10-5 M–22.48x105M) with a detection limit of (5.943x10-6 M) and molar absorptivity (5.122x103L.mol-1cm-1) ,The Stoichiometry of the complex was confirmed by using (Mole Ratio method and Molard method) the two methods using indicated the ratio of metal to reagent is 1:2,The effect of the presence of different cations and anions as interference in the determination of copper (І) under the given condition were investigated, The copper complex formed has been characterize by UVvisible ray , Precision and accuracy of the new method has been study by terms of Relative standard deviations (RSD%), and relative error.
Reproducing "Large Scale Simulation of Tor" in Shadow

Privacy over the internet is a critical issue worldwide, as more and more of the world executes business and personal transactions over the internet. Tor is a network layer that allows for anonymous internet activity for its clients by routing through ‘onion routers’, and claims to be a completely secure and private system for its clients. In ‘Large Scale Simulation of Tor’ by Blott et. al., the security weaknesses of Tor are explored through the lens of the SSFNet simulator. For this project, we look to a more modern simulator called Shadow that hopes to more faithfully reflect the actual Tor to-pography, traffic patterns, and source code, in order to build a more accurate simulation. This project aimed to recreate a connection-starting attack over the Shadow simulator, which proved to be possible only on a smaller scale of the total Tor network due to computational limitations. Recreating such attacks in the Shadow environment is critical to building a secure Tor network, and for users to have faith in the product that they are utilizing.
SPECIAL SECTION: TEACHING IN HIGHER EDUCATION IN PANDEMIC TIMES UNIVERSITY TEACHING IN THE PANDEMIC CONTEXT AND HIGHER EDUCATION ENTRANCE1

This study aims to analyze the characteristics of university teaching during the Covid-19 pandemic that enhanced students’ transition to higher education. Eight first-year students of both sexes were interviewed, and the qualitative analysis of data showed that pedagogical adaptations made in remote education, professor-student interactions, commitment to student education, and recognition of university teaching quality enabled the transition to higher education. These findings restate professors’ role in the learning process and permanence of first-year students, but stress the urgency of thinking about the political and social implications of remote education emergency, including university teaching in the pandemic, considering the intensification of professors’ work and the limited space for their professional development.
Good physician’s prediction using Machine Learning

: The fast growing field of big data analysis has started to play a fundamental role in the evolution of healthcare research. The huge data growth in biomedical and healthcare businesses, accurate analysis of medical data benefits from early detection, patient care, and community services . It has provided tools to analyze, manage and assimilate large volumes of big data produced by current healthcare systems. Data analysis has recently been applied to help the disease delivery and treatment process. This proposed system rationalizes machine learning algorithms to effectively predict the physician outbreaks in disease-frequent communities we are experimenting with the modified predictive models with real hospital data.
Financial Slack and Firm ’ s Performance : Does Ownership Structure Matters ?

Financial slack resources are unutilized assets and capabilities. According to Resource-Based View, such resources are concealed energies and can boost the financial performance of an organization. On the other hand, Agency theory believes that slack resources are redundant cost and need minimisation. The present study investigates the influence of one of the corporate governance factor—ownership structure as a moderating variable—on the relation between financial slack (available and potential) and firm performance. The study expands the scope of agency theory to incorporate the interest of owners. Dynamic generalized method of moments regression results and fixed effects generalized least square results show a positive linear relationship between financial slack and firm performance. Findings of study support Resource-based view and behavioural theory of the firm. Moreover, the findings show that the identity of the owners matters in shaping the relationship, high level of slack resources benefit firm, the level of slack is important rather than fungibility of slack resources, who the owner is matters and, national corporate governance system as well as firm-level corporate governance system influence investment horizon of outside investors
“Good Robot! Now Watch This!”: Building Generalizable Embeddings via Reinforcement Learning

: Modern Reinforcement Learning (RL) algorithms are not sample-1 efﬁcient to train on multi-step tasks in complex domains, impeding their wider 2 deployment in the real world. We address this problem by leveraging the insight 3 that RL models trained to complete one set of tasks can be re-purposed to complete 4 related tasks when given just a handful of demonstrations. Based upon this insight, 5 we propose See-SPOT-Run (SSR), a new computational approach to robot learn-6 ing that enables a robot to complete a variety of real robot tasks in novel problem 7 domains without task-speciﬁc training. SSR uses pretrained RL models to cre-8 ate vectors that represent model, task, and action relevance in demonstration and 9 test scenes. SSR then compares these vectors via our Cycle Consistency Distance 10 (CCD) metric to determine the next action to take. SSR completes 58% more task 11 steps and 20% more trials than a baseline few-shot learning method that requires 12 task-speciﬁc training. SSR also achieves a four order of magnitude improvement 13 in compute efﬁciency and a 20% to three order of magnitude improvement in sam-14 ple efﬁciency compared to the baseline and to training RL models from scratch. To 15 our knowledge, we are the ﬁrst to address multi-step tasks from demonstration on 16 a real robot without task-speciﬁc training, where both the visual input and action 17 space output are high dimensional. Code will be made available. 18
Formation Control with Collision Avoidance for First-Order Multi-Agent Systems using Bounded Vector Fields ⋆

: In this paper, we propose a solution to the formation control problem with collision avoidance for an arbitrary number of ﬁrst-order agents by using repulsive vector ﬁelds with bounded magnitude. When the agents are far enough from each other, e. i. , there is no risk of collision, they move at some known velocity determined by the application of a saturation function. It is assumed that every agent is able to detect other robots or obstacles into a circular region and apply repulsive vector ﬁelds. Once an agent detects any other agent or obstacle into its sensing radius, it regards that there exists an unstable focus in the position of the surrounding object. These ﬁelds are such that the agents neither become nearer than a predeﬁned collision radius nor exceed a maximum control input magnitude. The application of a reactive component of the control law is done by means of a continuous function which makes the whole control law to be smooth. Simulations were carried out to verify the performance of the proposed scheme.
Bioequivalence Study of Two Formulations of Cephalexin Powder For Oral Suspension in Healthy Subjects Under Fasting Conditions

Objective: The present study was conducted to the bioavailability of two formulations of cephalexin 250 mg powder for oral suspension administered in fasting condition in healthy subjects are equivalent. Materials and Method: This study was an open-label, randomized, single-dose, twoperiod, two-sequence, cross-over study under fasting condition which included 20 healthy adult male and female subjects under fasting condition. Blood samples were taken and analyzed for plasma concentration of cephalexin using selective and sensitive HPLCUV method This study consisted of two periods, each 6 hours interspaced by washout period for 7 days between doses (test and reference). The pharmacokinetic parameters assessed in this study were the maximum plasma concentration (Cmax), the area under plasma concentration-time curve from time zero to the last observed concentration(AUC0-t), the area under plasma concentration-time curve from time zero to infinity (AUC0-inf), the time to achieve the maximum plasma concentration (tmax), and the terminal half-life (t1⁄2). Results: After a single-dose administration of cephalexin 250 mg powder for oral suspension, the mean (SD) value AUC0-t and Cmax of test product were 19622.05 (5020.31) ng.h/mL and 13305.52 (3290.83) ng/mL, respectively; the mean (SD) value AUC0-t and Cmax of reference product were 19124.08 (3388.27) ng.h/mL and 14920.71 (3404.05) ng/mL, respectively. The geometric mean ratios (90% CI) of the test drug/comparator drug for cephalexin were 101.34% (97.48-105.35%) for AUC0-t and 88.78% (80.73-97.64%) for Cmax. There were thirteen adverse events reported during this study. Conclusion: The present study was concluded that two cephalexin powder for oral suspension formulations were
Why it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter

Despite the prevalence of disagreement between users on social media platforms, studies of online debates typically only look at positive online interactions, represented as networks with positive ties. In this paper, we hypothesize that the systematic neglect of conflict that these network analyses induce leads to misleading results on polarized debates. We introduce an approach to bring in negative user-to-user interaction, by analyzing online debates using signed networks with positive and negative ties. We apply this approach to the Dutch Twitter debate on ‘Black Pete’—an annual Dutch celebration with racist characteristics. Using a dataset of 430,000 tweets, we apply natural language processing and machine learning to identify: (i) users’ stance in the debate; and (ii) whether the interaction between users is positive (supportive) or negative (antagonistic). Comparing the resulting signed network with its unsigned counterpart, the retweet network, we find that traditional unsigned approaches distort debates by conflating conflict with indifference, and that the inclusion of negative ties changes and enriches our understanding of coalitions and division within the debate. Our analysis reveals that some groups are attacking each other, while others rather seem to be located in fragmented Twitter spaces. Our approach identifies new network positions of individuals that correspond to roles in the debate, such as leaders and scapegoats. These findings show that representing the polarity of user interactions as signs of ties in networks substantively changes the conclusions drawn from polarized social media activity, which has important implications for various fields studying online debates using network analysis.
Let Your Camera See for You: A Novel Two-Factor Authentication Method against Real-Time Phishing Attacks

Today, two-factor authentication (2FA) is a widely implemented mechanism to counter phishing attacks. Although much effort has been investigated in 2FA, most 2FA systems are still vulnerable to carefully designed phishing attacks, and some even request special hardware, which limits their wide deployment. Recently, real-time phishing (RTP) has made the situation even worse because an adversary can effortlessly establish a phishing website replicating a target website without any background of the web page design technique. Traditional 2FA can be easily bypassed by such RTP attacks. In this work, we propose a novel 2FA system to counter RTP attacks. The main idea is to request a user to take a photo of the web browser with the domain name in the address bar as the 2nd authentication factor. The web server side extracts the domain name information based on Optical Character Recognition (OCR), and then determines if the user is visiting this website or a fake one, thus defeating the RTP attacks where an adversary must set up a fake website with a different domain. We prototyped our system and evaluated its performance in various environments. The results showed that PhotoAuth is an effective technique with good scalability. We also showed that compared to other 2FA systems, PhotoAuth has several advantages, especially no special hardware or software support is needed on the client side except a phone, making it readily deployable.
BRUGADA Syndrome: Risk stratification and management, About a case

Background: BRUGADA syndrome is a rare hereditary channelopathy characterized by cardiac arrhythmia, nocturne epilepsy with/without genitosphincterian disturbance, the diagnosis remains a challenge as patients are often young and asymptomatic. Missing or delayed diagnosis can result in severe cardiac complications such as sudden death. Medical case: here we report the case of a 56-year-old woman, with history of epilepsy and resuscitated death two years ago, who presented with recurrent nocturne syncope and fever, An ECG performed and showed an elevation of ST segment in v1 and v2 leads. The TTE and coronarography are without abnormalities, evoking a Brugada syndrome. Conclusion: The early diagnosis of cardiac arrhythmia in patient with Brugada syndrome could help to prevent severe complications, reduce the morbidity and mortality, and improve the outcome of patients.
Simple Ways to Estimate Meningioma Volume: Can ABC- and SH-Derived Methods Be Used in Clinical Practice Reliably?

Background There is a clinical demand for rapid estimation of meningioma volumes. Our objective was to assess the accuracy of three ABC-derived and three SH-derived formula methods on volume estimation of meningiomas. Methods The study group comprised 678 patients treated at our department for histopathologically proven intracranial meningiomas. For each patient, tumor volumes were independently measured using six formula methods as well as planimetry. Maximum tumor diameter and ellipsoidity were also recorded. Volumes were compared using descriptive statistics, correlation analysis, and consistency analysis. Results Among all methods assessed, 2/3SH and 1/2ABC outperformed the others. No significant differences were found between volumes obtained by the two methods and those of planimetry (p > 0.05). Spearman rank-correlation coefficients (rs) were 0.99 for both methods (p < 0.01), and ICC were 0.99 and 0.98, respectively. In Bland-Altman plot, most data points lay inside the limit of agreement. Overall, 2/3SH overestimated tumor volumes by 1.29%, and estimation errors in 93.66% cases were within 20%; 1/2ABC overestimated tumor volumes by 5.36%, and estimation errors in 93.51% cases were within 30%. The performance of 2/3SH and 1/2ABC in small-volume meningiomas was slightly worse, especially for 1/2ABC. Correlations between ellipsoidity and percentage errors of 2/3SH and 1/2ABC were weak (rs = −0.06 and −0.24, respectively). Despite a significant correlation between maximum tumor diameter and planimetric volume (rs = −0.96), volumes could vary significantly for a given diameter. Conclusions Formula methods 2/3SH and 1/2ABC can estimate meningioma volumes with decent accuracy. Compared with the 1/2ABC method, the 2/3SH method showed slightly better performance, especially in small-volume meningiomas. Ellipsoidity is not a suitable parameter to predict estimation error, and maximum tumor diameter is not a reliable surrogate for actual meningioma volume.
Overview of the Active Ingredients in Cosmetic Products for the Care of Skin That Has Been Exposed to Ionizing Radiation – Analysis of Their Effectiveness in Breast Cancer Radiotherapy

Abstract Treatment that uses ionizing radiation is one of the most common therapeutic methods in case of breast cancer. However, it often results in radiation dermatitis, which manifests itself, among others, as erythema, burning, itching and pain as well as dry or moist desquamation of the epidermis in the irradiated areas. The intensity of these symptoms significantly reduces the patient’s quality of life, which could affect the effectiveness of the entire therapy. There are more and more cosmetic preparations on the market for daily care of skin that has been exposed to radiation. The composition of the active ingredients in these preparations is designed to support the protective functions of the skin, delay the occurrence of the side effects of ionizing radiation, reduce their intensity, and accelerate the regeneration of the irradiated areas. Unfortunately, there is little scientific evidence of the effectiveness of the active ingredients that are contained in these preparations. This paper presents a narrative review of the most commonly used ingredients and compares them with the current state of knowledge on their effectiveness in preventing radiodermatitis.
Mating of trees for critical Liouville quantum gravity

In a groundbreaking work, Duplantier, Miller and Sheffield showed that subcritical Liouville quantum gravity (LQG) coupled with Schramm-Loewner evolutions (SLE) can be described by the mating of two continuum random trees. In this paper, we consider the counterpart of their result for critical LQG and SLE, i.e., for the case when γ = κ = 16/κ = 4. We prove that as one sends κ ↓ 4 in the subcritical setting, the space-filling SLEκ in a disk degenerates to the CLE4 exploration introduced by Werner and Wu, along with a collection of i.i. d. coin tosses indexed by the branch points of the exploration. Furthermore, in the κ = 16/γ ↓ 4 limit, the pair of continuum random trees collapse into a single continuum random tree, and we observe that upon applying an appropriate affine transform to the encoding Brownian motions before taking the limit, we get convergence to a pair of independent Brownian motions (A,B). The Brownian motion A encodes the LQG distance from the CLE loops to the boundary of the disk, while the Brownian motion B encodes the boundary lengths of the CLE4 loops. In contrast to the subcritical setting, (A,B) does not determine the CLE-decorated LQG surface.
New Insights into the Role of NLRP3 Inflammasome in Pathogenesis and Treatment of Chronic Obstructive Pulmonary Disease

Abstract Chronic obstructive pulmonary disease (COPD) is an inflammatory lung disease characterized by chronic airway obstruction and emphysema. Accumulating studies have shown that the onset and development of COPD are related to an aberrant immune response induced by the dysregulation of a number of genetic and environmental factors, while the exact pathogenesis of this disease is not well defined. Emerging studies based on tests on samples from COPD patients, animal models, pharmacological and genetic data suggest that the NLR family pyrin domain containing 3 (NLRP3) inflammasome activation is required in the lung inflammatory responses in the development of COPD. Although the available clinical studies targeting the inflammasome effector cytokine, IL-1β, or IL-1 signaling do not show positive outcomes for COPD treatment, many alternative strategies have been proposed by recent emerging studies. Here, we highlight the recent progress in our understanding of the role of the NLRP3 inflammasome in COPD and propose possible future studies that may further elucidate the roles of the inflammasome in the pathogenesis or the intervention of this inflammatory lung disease.