Miracle-dz/UniFAR-FTUs huggingface dataset:
Breast Cancer Dataset Classification using Neural Network

Agile Software Development Approach is the buzzword for the Organizations working with Traditional Software Development Approach. Scrum is one of the most vital frameworks used when working towards Agile Software Development projects. Material Management is one of the salient processes of the Supply Chain Management in transforming inputs into outputs. Extreme Programming is more technical in nature and Scrum is a People focused Management approach. This scrum framework is customizable according to the project teams and it is adopted widely to effectively manage software projects. Scrum framework fits into the groove for delivering quality product at a faster pace with minimal continuous feature delivery at frequent intervals. The minimal Marketable feature is delivered at the end of each Sprint. A Sprint is an iterative activity which ends up at regular intervals. But, the way of customizing the process and giving a minimal feature delivery at the end of each Sprint in the projects act as a major challenge. Other challenges resulted in the team collaboration and the involvement of the team members in the project and in integrating the minimal marketable feature. Syncing with the product owner and the other stake holders, and participation in the sprint planning were some of the issues that the team faced. The success of the entire team in implementing the Agile Software Development approach in the Enterprise Resource Planning Material Management Section is discussed
CASCADE + BERT: Using Context Embeddings and Transformers to Predict Sarcasm

Sarcasm is a form of verbal irony, in which a writer or speaker states the opposite of their intended message in order to mock or show contempt. Sarcasm is commonly used online, and being able to detect sarcasm is crucial to understand and classify online pieces of text. In this work, we attempt to classify Reddit comments (from the SARC corpus) as either sarcastic or sincere. Sarcasm is heavily reliant on context — information about the world or a text author. Therefore, we propose a BERT model, augmented with three different context types: discourse context, user context, and community context. After testing this model, we found that the addition of user context shows increased performance compared to training without user context. However, incorporating community context did not improve performance. We were able to achieve a maximum accuracy of 75.8 percent.
Avaliação comparativa de testes de lixiviação de resíduos sólidos

O presente trabalho alguns protocolos de lixiviação utilizados freqüentemente para a classificação de resíduos sólidos segundo sua periculosidade. O ensaio de lixiviação procura reproduzir em laboratório fenômenos de arraste, diluição e dessorsão que ocorre pela passagem do material solvente através do resíduo servindo, portanto, para avaliar o potencial deste resíduo em liberar certas espécimes químicas.
The Impact of Practicing on Cloze Tasks in Class on Iranian Undergraduates ' Foreign Language Proficiency

This study attempted to discover whether practicing on cloze tasks could improve Iranian undergraduates' foreign language proficiency. Sixty two Iranian EFL students of Azad University in Rasht served as the EG and the CG of the study and performed on a TOEFL serving as the pre-test of the study. The statistical technique of t-test formula revealed the two groups were not statistically different in terms of their foreign language proficiency at the outset of the study. The EG received thirty cloze tasks of various types during the course. In order to learn whether this treatment was effective or to see whether there was any statistically significant difference in the EFL proficiency between EG and CG after the administration of treatment, the participants were all post-tested on another TOEFL. The statistical technique of t-test formula revealed the EG, which had been equal to the CG before receiving the treatment, came to differ from it after it received the treatment; results showed that regular practice with cloze tasks was a very effective means of improving Iranian EFL proficiency. Therefore, the null hypothesis: There is no relationship between practicing on cloze tasks and improving Iranian EFL proficiency,
Traces of urban forest in temperature and CO2 signals in monsoon East Asia

Abstract. Cities represent a key space for our sustainable trajectory in a changing environment, and our society is steadily embracing urban green space for its role in mitigating heatwaves and anthropogenic CO2 emissions. This study reports two-year surface fluxes of energy and CO2 measured via the eddy covariance method in an artificially constructed urban forest to examine the impact of urban forests on air temperature and net CO2 exchange. The urban forest site shows typical seasonal patterns of forest canopies with the seasonal march of the East Asian summer monsoon. Our analysis indicates that the urban forest reduces both the warming trend and urban heat island intensity compared to the adjacent high-rise urban areas and that photosynthetic carbon uptake is large despite relatively small tree density and leaf area index. During the significant drought period in the second year, gross primary production and evapotranspiration decreased, but their reduction was not as significant as those in natural forest canopies. We speculate that forest management practices, such as artificial irrigation and fertilization, enhance vegetation activity. We also stipulate that ecosystem respiration in urban forests is more pronounced than typical natural forests in a similar climate zone. This can be attributed to the substantial amount of soil organic carbon available due to intensive historical soil use and soil transplantation during forest construction, as well as relatively warmer temperatures in urban heat domes. Our observational study also indicates the need for caution in soil management for less CO2 emissions in urban areas.
The majority of the variation in COVID-19 rates between nations is explained by median age, obesity rate, and island status

Since the World Health Organization declared SARS-CoV-2 to be a global pandemic on March 11, 2020, nearly every nation on earth has reported infections. Incidence and prevalence of COVID-19 case rates have demonstrated extreme geospatial and temporal variability across the globe. The outbreaks in some countries are extreme and devastating, while other countries face outbreaks that are relatively minor. The causes of these differences between nations remain poorly understood, and identifying the factors that underlie this variation is critical to understand the dynamics of this disease in order to better respond to this and future pandemics. Here, we examine four factors that we anticipated would explain much of the variation in COVID-19 rates between nations: median age, obesity rate, island status, and strength of border closure measures. Clinical evidence suggests that age and obesity increase both the likelihood of infection and transmission in individual patients, which make them plausible demographic factors. The third factor, whether or not each country is an island nation, was selected because the geographical isolation of islands is expected to influence COVID-19 transmission. The fourth factor of border closure was selected because of its anticipated interaction with island nation status. Together, these four variables are able to explain a majority of the international variance in COVID-19 case rates. Using a dataset of 190 countries, simple modeling based on these four factors and their interactions explains more than 70% of the total variance between countries. With additional covariates, more complex modeling and higher-order interactions explains more than 80% of the variance. These novel findings offer a solution to explain the unusual global variation of COVID-19 that has remained largely elusive throughout the pandemic.
Coverage and effectiveness of mRNA SARS-CoV-2 vaccines among United States Veterans

Importance: The scope of vaccination rollout and effectiveness of mRNA SARS-CoV-2 vaccines in the United States (US), and US Veterans specifically, has not been fully assessed. Objective: To estimate receipt of SARS-CoV-2 vaccines, and vaccine effectiveness (VE) against SARS-CoV-2 infection, subsequent disease-related severity and mortality. Design, Setting, and Participants: First, receipt of any SARS-CoV-2 vaccine by March 7, 2021 was described for all enrolled and alive Veterans within the Veterans Health Administration (VHA). Second, to evaluate mRNA SARS-CoV-2 VE, a matched test negative case-control evaluation was conducted across all VHA facilities utilizing SARS-CoV-2 positive (cases [n=16,690]) and negative (controls [n=61,610]) tests from Veterans aged [≥]18 years old who routinely sought care at a VHA facility and were tested for SARS-CoV-2 from December 14, 2020, through March 14, 2021. Exposures: Vaccination histories were obtained from pharmacy and medical records to determine if patients were unvaccinated, partially vaccinated (from 7 days after first dose until day of second dose of mRNA SARS-CoV-2 vaccine), or fully vaccinated (from 7 days after second dose of mRNA SARS-CoV-2 vaccine) at time of SARS-CoV-2 test. Main Outcome Measures: Primary outcomes were (1) vaccine receipt among Veterans and specific subpopulations, (2) VE calculated from odds ratios (ORs) with 95% confidence intervals (95% CI) for the association between SARS-CoV-2 infection and full vs. no vaccination, and (3) VE against infection for partial vs. no vaccination. VE against COVID-19-related hospitalization and death were also estimated. Results: By March 7, 2020, among 6,170,750 Veterans, 1,547,045 (23.1%) received at least one SARS-CoV-2 vaccine. Based on the analysis of mRNA SARS-CoV-2 vaccines, VE against infection was 93.7% (95% CI 92.0-95.0) and 57.7% (95% CI 53.5-61.5) for full and partial vaccination (vs. no vaccination), respectively. VE was similar for subpopulations. VE against COVID-19-related hospitalization and death for full vs. no vaccination was 90.7% (95% CI 90.0-91.3) and 94.7% (95% CI 91.3-98.1), respectively. Conclusion and Relevance: Vaccines are effective in reducing SARS-CoV-2 infections and disease-related severity and mortality in the Veteran population. Effective vaccine, as well as their efficient and equitable distribution, are important for reducing COVID-19 disease burden among Veterans.
Moving Target Defense Strategy for Mitigating Denial of Service Attack in the Public Cloud Environment

Internet is a network of interconnected systems which works collaboratively and services the users without any disruption. But for achieving the same in real time, needs the new prominent technology cloud computing. The massive attractive features and simple pay-as-you-go model of cloud makes it reachable to all the users Denial-of-Service (DoS) plays a crucial role in making the services inaccessible to its intended users. The traditional DoS can no longer be successful in the cloud scenario as it poses the auto scaling feature. Still, the DoS can consume the bandwidth of the cloud customers as they need to pay for their complete usage. In spite of the huge number of recovery measures available in cloud, DoS becoming harder every day in terms of attack volume and severity. Hence complete mitigation against DoS attack is the expected solution which needs to be proved in today’s digital world. Moving Target Defence (MTD) is one such prominent emerging solution which aims to avoid the DDoS attacks in the cloud environment. The challenge of MTD is to change the attack surface periodically such that the attackers will be facing difficulty in even the attack attempts. This paper aims to provide solution for avoiding DoS attack by adopting MTD algorithm for making the web servers redundant in the cloud environment. Experimental simulations prove the effectiveness of MTD in the public cloud environment.
Verification of XMHF HPT Protection Setup

—Over the years virtualization and hypervisors have gained immense popularity and at the same time there has been an increased concern about their security and many exploits have been demonstrated. Verification of hypervisors is challenging and one of the reasons is a large TCB. XMHF is a hypervisor with a small TCB of only 6018 LoC. In this paper we verify the page table setup of the XMHF initialization, using model checking and proving an invariant about the model. Thus ensuring that the hypervisor is in fact successful in providing a reduced memory map to the guest, in order to protect the XMHF Core from the guest.
Calibration Factors based intrusion detection (CFID) in Cloud Computing

The distributed computing is the buzz in recent past, cloud computing stands first in this category. This is since, the users can adapt anything related to data storage, magnificent computing facilities on a system with less infrastructure from anywhere at any time. On other dimension such public and private cloud computing strategies would also attracts the foul players to perform intrusion practices. This is since, the comfortability that the cloud platform providing to end users intends them to adapt these services in regard to save or compute the sensitive data. The scope of vulnerability to breach the data or services over cloud computing is more frequent and easier, which is since, these services relies on internet protocol. In this regard, the research in intrusion detection defense mechanisms is having prominent scope. This manuscript, projecting a novel intrusion detection mechanism called "calibration factors-based intrusion detection (CFID)" for cloud computing networks. The experimental study portrayed the significant scope of the proposal CFID to detect the intrusion activities listed as remoteto-Local, Port Scanning, and Virtual-Machine-Trapping.
QANet for SQuAD 2.0

Question Answering task is a very useful NLP task for evaluating an NLP system’s language understanding capability. SQUAD is one of the benchmark datasets for the Question Answering task, and QANet model produced state of the art results on the SQUAD 1.1 dataset. In this project, I re-implemented QANéet to evaluate it’s performance on the SQuAD 2.0 dataset which is a more challenging dataset due to the presence of unanswerable questions. I also showed that reducing QANet’s size does not negatively impact performance
Deposition of sodium carbonate and sodium sulfate in supercritical water oxidation systems and its mitigation

Supercritical water oxidation ( S C W O ) is a technique to destroy wet organic waste. The oxidation reaction takes place at high temperature (T > 374°C) and pressure (P > 22 M P a ) . Organics are miscible with water at these conditions but inorganic salts, such as Na2SC>4 and Na2C03, are not soluble and crystallize on the reactor surface leading to the problem of heat exchanger fouling. Solubili ty and deposition of these salts on a tubular heat exchanger (reactor) surface have been studied in this work. Experiments were performed to determine solubility of these salts in binary phase and in ternary phase systems, for a wide range of temperatures. A rapid decrease in the salt solubility was observed just above the pseudo-critical temperature. For supercritical conditions, the solubility of each salt in the form of a mixture was quite close to the solubility of pure salt. In order to reduce the net salt deposition, particulate instead of crystalline deposition was encouraged. In the presence of particulate fouling, the deposit buildup was not steady. The flowing fluid partially removed the deposited layer, once it reached a certain thickness, and then the deposition process continued over a number of cycles. Compared to pure crystalline fouling, combined particulate-crystalline fouling resulted in a three times longer operating period, before the system had to be shut down for removing salt deposits. Salt solution leaving the reactor was four times higher than the saturation l imit . The structure of the deposits, both pure crystalline and combined particulate-crystalline, were analyzed using Scanning Electron Microscope (SEM) and Energy Dispersive Xray ( E D X ) . The crystalline scale structure was found to be dense and tenacious, whereas the combined particulate-crystalline deposit was relatively less dense and easy to remove. A computer program has been developed, in M A T L A B , to simulate heat and salt mass transfer in order to determine the salt deposition at various reactor locations. The model predicts the clean tube surface temperature quite accurately. The surface temperature change after the salt deposition is also in good agreement wi th the actual experimental measurements. The calculated location of the peak surface temperature change, due to fouling resistance, was found to be quite close to the experimental data.
Auditor Groups and Audit Quality: Evidence from China

Audit reports in China record the names of two signing auditors. Through co-signed audit reports, we observe auditor groups within large Chinese accounting firms. We find that these auditor groups are very stable over time. They act like autonomous units within accounting firms. They control clients, appoint signing auditors, and conduct audits. We conjecture that there is a post-merger integration problem in these large Chinese accounting firms and audit quality is not uniform across different sizes of auditor groups. Based on the auditing literature, we hypothesize that large auditor groups are more likely to issue qualified audit opinions, and hence provide higher quality audits. Our empirical results are consistent with our prediction. Our results show that accounting firms in China have become bigger but not stronger.
Causal Interactions between Macroeconomic Variables and Stock Market Returns in India with Special Reference to NSE

Stock market is one of the main variables of economic development of any economy, on the other hand, variations in stock market are also caused by the fluctuations in the various macroeconomic indicators. These stock market variations influence the behaviour of investors; so, the modeling of stock market returns and macroeconomic indicators is one of the key areas of financial researches. The present paper intends at identifying causal interactions between stock market returns and various macroeconomic variables.
Impact of Macro-Economic Variables on Stock Market in Nepal: An ARDL Approach

The study examines the relationship between stock market index (NESPSE Index) and four macroeconomic variables; broad money supply, gold price, interest rate of 91 days treasury bills and real exchange rate for the period of 1994 to 2017. Time series data have been used to examine the relationship between the variables under consideration. The Bound test result confirmed that there is a long-run relationship among the variables. The ARDL result, aligning empirical results, reveals that interest rate is the most determining factors for the stock market index in Nepal. Nepalese stock market is highly interested sensitive while the gold price has insignificant impact on the stock market. Though Nepalese economy is termed as remitonomy (remittance based economy), the real exchange rate has insignificant effect on the stock market. In a nutshell, macroeconomic variables have a notable impact on stock market. Considering the result, the policymaker should take care of macroeconomic variables while formulating policies regarding capital market development.
Strategic Planning as a Conflict-Mediating Routine

This paper shows how strategic planning may function as a conflict-mediating routine. We conducted a five-year case study in a large financial services joint venture firm co-owned by a Latin American state bank and a European multinational financial company. The controlling companies have different business objectives for the JV: the former prioritizes short-term financial results, while the latter prioritizes long-term consolidation of the business. We present the case in the form of a narrative of findings, which shows how we pursue and uncover different levels of organizational reality and, more specifically, the different roles played by strategic planning. The paper makes two contributions: first, to studies of routines as praxis capable of supporting the solution of conflicts that arise from the presence of different business logics; and second, to business practice, as it provides guidance on considering additional roles taken by strategic planning.
macrophages stimulates host-versus-leukemia immunity and 1 eradicates naive and treatment resistant leukemia 2

eradicates naive and treatment resistant leukemia 2 Irene Tirado-Gonzalez*, Arnaud Descot*, Devona Soetopo*, Aleksandra 3 Nevmerzhitskaya, Alexander Schäffer, Ivan-Maximilano Kur, Ewelina Czlonka, Carolin 4 Wachtel, Ioanna Tsoukala, Luise Müller, Anna-Lena Schäfer, Maresa Weitmann, Petra 5 Dinse, Emily Alberto, Michèle C. Buck, Jonathan JM. Landry, Bianka Baying, Julia 6 Slotta-Huspenina, Jenny Roesler, Patrick N. Harter, Anne-Sophie Kubasch, Jörn 7 Meinel, Eiman Elwakeel, Elisabeth Strack, Christine Tran Quang, Omar Abdel8 Wahab, Marc Schmitz, Andreas Weigert, Tobias Schmid, Uwe Platzbecker, 9 Vladimir Benes, Jacques Ghysdael, Halvard Bonig, Katharina S. Götze, Carla V. 10 Rothlin, Sourav Ghosh, Hind Medyouf 11 12
A novel algorithm to detect Man in the Middle Attack in WLANs

Wireless local area networks (WLANs) are growing very rapidly in recent years. With the growing popularity of the wireless network, risk of security attacks associated with wireless network is also growing. Access Points (AP) are used in many public places like airport and hospitals to provide the users internet facility. Due to the open nature of the wireless networks, it is vulnerable to many different types of threats. Main wireless threats are eavesdropping, man in the middle attack and evil twin attack etc. In this paper one such threat MITM (Man in the Middle Attack) is discussed. In this case attacker creates a Rogue Access Point (RAP) using the same parameters as that of original AP of the network, with the help of software. We propose a methodology to detect the MITM attack. Our algorithm use combination of RSSI (Received Signal Strength Indicator) value and sequence number for detecting this attack.
Intrusion Detection Algorithm for Packet Loss Minimization in Wireless Sensor Networks

Wireless Sensor Network consists of a greater number of sensor nodes and recent advance is in wireless communications and it serves a backbone for controlling the real time applications. It consists of group of sensor nodes and that is sense the information from the event area and it is passes through the base station and which it reacts according to environment and to provide a large-scale monitoring and sensor measurement in a high temporal and the spatial resolution. The researcher uses a different algorithm in that they use a distributed energy fuzzy logic to reduce a packet loss. Wireless Sensor Networks are unprotected to many kinds of the security threats which can decrease the performance of network and cause the sensors to send wrong data to destination. The hostile node in the network is working as an attacker node and it takes all the information packets which is delivered through them. In this paper we propose an intrusion detection system algorithm against the packet dropping. Intrusion detection algorithm solves the problem by analyzing the network by detecting the abnormal node. Then the abnormal node is corrected into normal node with the help of intrusion detection algorithm.