Miracle-dz/UniFAR-FTUs huggingface dataset:
Security & Authentication of Web Browsers using FCM

Web security is an important field area where security and storage is important during the flow of data from the client to server. Although there are various techniques implemented for the security of web data especially at the client side in web browsers. Here in this paper an efficient technique for the security of web data is implemented using combinatorial method of clustering and classification. The web log data collected at the server side is used for the training and testing of classification of various attacks and anomalies in the packets send through internet. The Fuzzy C-means clustering is first applied on the web log data to divide into a number of clusters of similar groups and then these clustered data are passed to the classification algorithm to generate decision tree to get the final classification of attacks and anomalies.
The Impact of Effective Microorganisms (EM) on Egg Quality and Laying Performance of Chickens

Chickens kept under modern production system are very small and contribute less than 2% of eggs and meat production in Ethiopia. In some parts of the country, effective microorganism (EM) has been used as a means of improving egg and meat production. However, there is information gap on the use and effect of EM on egg quality and laying performance of chickens in the local context. This study was conducted in Aksum University's poultry farm located at the main campus in Axum, to evaluate egg laying performance and quality of eggs in layer chickens treated with effective microorganisms in feed and water. In this experiment, 180 pullets of ISA Brown chickens with uniform age and weight were used and managed in a cage system. Chickens were subjected to 4 treatments with 3 replications, and each replication consisted of 15 chickens. Data collection was started at the first egg lay. Data including feed intake, conversion ratio, and age at first laying, laying percentage, and egg quality parameters were collected. Statistical analysis was carried out using JMP. Chickens fed with EM in feed and drinking water had higher egg production percentage. There was a significant difference in egg laying percentage between the treated and control groups (P < 0.001). Eggs from chickens given EM in feed and water were 6% heavier in weight than those from control birds. Lower feed daily intake (115.5 gram) and feed conversion rate (2.05) were achieved in chickens treated with EM in feed and water. Significant improvement on egg quality was revealed in chickens that received EM in feed and water. From this experiment, it can be concluded that the use of EM in feed and water improves egg production in layer chickens and therefore recommended for medium-scale poultry farms in Northern Ethiopia.
Collation of Machine Learning Algorithms for Product Title Generation in E-Commerce

E-commerce catalogues can get cluttered with repetitions if each product uploaded by a merchant is uploaded as it is. This necessitates product matching so that the catalogue displays a single result for each unique product. Instead of current systems which search the full catalogue for matches, we can implement a model to generate product titles from the attributes that merchants upload. This saves resources. Since it is a novel proposal, it has to be modelled by taking cues from other similar problems. Title generation is a natural language processing problem which can be solved using a sequence-to-sequence problem. Other problem domains which provide similar solutions are text summarization, neural machine translation, sequence tagging and key phrase extraction. We review several approaches to each of these problems in detail to collate a comprehensive approach to title generation likely to produce the most promising results. Common issues that are addressed by the study are size of merchant attributes, repetition in the generated title and handling out-of-vocabulary words.
Effect of Rapid Preheating Treatment on Coal Thermoplasticity and Its Evaluation Method

Development of the innovative coke-making process, SCOPE21 (Super Coke Oven for Productivity and Environmental enhancement toward the 21st century) has been conducted by Japan Iron and Steel Federation (JISF). It has been performed from 1994 to 2003. The purposes of SCOPE21 process are as follows.1) Increasing the blending ratio of poorly-coking coal in coal charge, in order to reduce the cost of coke and expand the use of available coal resources, 2) In SCOPE21, the coking time in coke ovens can be remarkably shortened due to the rapid preheating of coals up to 330-380°C. The shortening of coking time leads to higher productivity of coke, and therefore to the decrease of oven numbers in the case of identical production of coke compared to conventional coke-making process.These two purposes are supposedly achieved by applying a coal rapid preheating technology to the new coke-making process. In this process, coal is rapidly preheated to the temperature range from 330°C to 380°C and then charged into coke oven. Therefore it is important to study the effect of rapid preheating on coal thermoplas-ticity and the strength of resultant coke.It is generally known that the thermoplasticity of coals is enhanced when the coals are rapidly heated through their thermoplastic stages. However, when the coals are rapidly preheated to 330-380°C, the effect of rapid preheating on the subsequent development of coal thermoplasticity has been unclear.Here, changes of thermoplastic behavior by this preheating were studied using a needle penetrater. Conse-quently, it was found that the thermoplasticity of coals was enhanced when the coals are rapidly preheated to 330-380°C, even when the slow heating rate (3°C/min) was applied through the following thermoplastic stages.
Atividade Antioxidade de Ficocianina Extraída de Spirulina Cultivada com LEDs

RESUMO Ficocianina e um complexo proteina-pigmento com potencial acao anti-oxidante. A concentracao de ficocianina, presente na microalga Spirulina, pode ser aumentada por LEDs de diferentes cores. Diante disso, objetivou-se avaliar o potencial antioxidante de ficocianina obtida do cultivo de Spirulina sp. LEB 18 utilizando LEDs de comprimento de onda na regiao do vermelho (620645 nm) em diferentes fotoperiodos. Foram realizados 3 ensaios: (1) 12 h fluorescente: 12 h escuro, (2) 12 h fluorescente: 6 h LED: 6 h escuro e (3) 12 h fluorescente: 12 h LED. A maior concentracao de biomassa (1,82 g L±0,10) e atividade antioxidante (420,09±19,08 μM TE g) obteve-se com iluminacao integral (ensaio 3). No entanto, a maior producao de ficocianina (153,98±3,5 mg g) obteve-se com iluminacao parcial (ensaio 2). Entao, evidencia-se que cultivos envolvendo LEDs de comprimento de onda especifico podem promover a maximizacao na producao de biocompostos com atividade biologica in vitro de interesse.
Explaining the Influence of OCB Dimensions to the Employee Performance

— OCB is a pivotal employee behavior to improving company performance. Increased competition triggered by globalization in various sectors of the economy makes competition in the banking business very tight, not only between banks but also from other financial institutions, including Rural Credit Banks (BPR). BPR as a business entity should always be directed and encouraged to play a role in significantly increasing the income and welfare of the community in order to be able to overcome economic inequality and social inequality, so that they are more able to act as a container for people's economic activities. For this reason, BPR as a business entity is demanded to be able to survive in the era of increasingly fierce competition today. The success of a company is strongly influenced by human resource factors. In an effort to improve employee performance, the company must have a strategy that is certainly in accordance with organizational goals. The purpose of this study was to determine the effect of dimentions of OCB to the employee performance.This research is causal because it examines the effect of independent variables (OCB) on dependent variables (Employee Performance). The object of research was BPRS Bumi Rinjani, while the research data were analyzed using statistical analysis tools Structural Equation Model (SEM). methods and
Malign detection based on permissions identification and pruning system using ML approach

Android is most widely used platform by the users all around the world. Android Platform led to the immense growth of mobile apps both benign and malign apps. As we all know Google Play is the most trusted Distributor of Android apps. Even Google Play is failing to detect malign apps . With the immense use of Smartphone for accessing online services, users store general, and confidential information on mobile device. Availability and Accessibility of sensitive information has encouraged cyber criminals to use features of smartphones for cyber attacks. Numerous malware detection tools have been developed, including system-level and network level approaches. However, scaling the detection for a large bundle of apps remains a challenging task. In this paper based on permissions asked by the apps during runtime, we will detect and will allow users to disable such permissions. Based on the behavioral pattern of permissions asked by app we classify it as an benign or malign. The Proposed System initially prunes the number of permissions to be analyzed in the three levels and then classification of apps as benign or malign is done by Support Vector Machine(SVM) Algorithm. After the Classification of apps as benign or malign the results are stored in a well maintained database for future reference.
Algorithmic Modelling of Boosted Regression Trees’ on Environment’s Big Data

the number of trees per component is consistently predicted more accurately than in the case of a SRT. These approaches were marginally, but consistently better than BRT and also computationally found to be more efficient compared to BRT when applied to the biological field. The most comprehensive and updated application of BRTs was conducted and reported by Elith et al. (2008), who provided a workingguide to BRT. The ensemble method presented for fitting statistical models differs fundamentally from conventional techniques that aim to fit a single ungenerous model. The report explains and provides a working guide to BRT. The work also demonstrates the practicalities and advantages of using BRT as an analytical tool to analyse the distribution of the short-finned eel from native freshwater fish data from New Zealand. From the above discussion, compared to other applications such as GAM, classification and regression trees (CART) and other tree-based models, it is clear that the BRT technique has been proven to be the most effective
Spam Filtering for Social Media Context

Online social networks have become a popular way for people around the world for them to interact with friends and family members, reading news, discuss events and what not. Users spend a lot of time on these platforms (Facebook, Twitter) storing and sharing their personal information. Due to the increasing use of these networks, there are millions of active users who are then being used to spread malicious content for exploitation. Short URLs have gained immense popularity in the Online Social Networks domain. Malicious URLs is a common and serious threat to cyber security and lots of such URLs are spread via the social networks. In this paper, we have built a supervised machine learning classification model which will help to detect the malicious URLs present in the social networks. We have developed a dataset which provides us with labelled URLs and then with the help of TFID Vectorization and classic machine learning models we distinguish between spam and benign URLs.
Ecological variation among island foxes relative to reproductive events

Ecological attributes of a species can vary as resource requirements and social interactions change in response to the annual reproductive cycle. We examined variation in home range size, home range overlap, activity (2005–2006), and food item selection (2006–2007) of island foxes (Urocyon littoralis) on San Nicolas Island relative to reproduction-related events. Home ranges, particularly for males, were larger during the mating period compared with the post-mating, pup-rearing, and non-reproduction periods. Home range overlap with non-mate neighbors also increased during the mating period. The greater home range size and overlap during the mating season is consistent with foxes, particularly males, traveling into the ranges of neighboring pairs in an attempt to secure extra-pair copulations. Daily activity patterns did not vary among the reproductive periods. Use of vertebrate prey items increased during the period when adults would have been provisioning weaning young. These items (e.g., mice, birds, lizards) are protein-rich and easier to transport compared with smaller items (e.g., fruits, snails, insects) that also are commonly consumed by island foxes. Variation in ecological attributes among island foxes across the different seasons defined by reproductive events likely represents efforts to maximize mating opportunities, particularly among adult males, and to secure optimal resources for provisioning growing young. These patterns are consistent with those observed among other small canid species.
Exogenous aminolevulinic acid protects wheat seedlings against boron-induced oxidative stress

The present study was carried out in order to elucidate whether exogenous ALA treatment mitigates the stress damages in wheat under boron toxicity. Three different concentrations (5, 10 and 20 mg.L-1) of ALA were applied to the 9-day-wheat leaves and then boron (5 mM) was added to the nutrient solutions for 3 days. Boron toxicity severely reduced root and shoot lengths as well as the level of soluble protein and photosynthetic pigments. In a similar manner, it caused a markable decrease in the activities of antioxidant enzymes including superoxide dismutase, guaicol peroxidase, catalase, ascorbate peroxidase and glutathione reductase. As a result, boron toxicity led to increment in the level of oxidative stress indicators such as superoxide anion, hydrogen peroxide, and lipid peroxidation. ALA application significantly mitigated the boron-induced reductions in the growth parameters and antioxidant defence system. The values of oxidative stress indicators were lesser in ALA-applied seedlings that were associated with higher activities of antioxidant enzymes as well as higher protein level. A significant correlation was recorded between boron and/or ALA-induced protein content and protein profile observed at SDS-PAGE. On the other hand, while boron application caused to a marked increase in boron amounts in roots, ALA treatments reduced considerably the boron uptake from roots. These data clearly revealed that ALA improves boron toxicity in wheat seedlings by increasing antioxidant activity and by modulating boron uptake and/or transportation.
Adaptive Event-Triggered Synchronization of Networked Neural Networks with Time-Varying Delay Subject to Actuator Saturation

This paper discusses the adaptive event-triggered synchronization problem of a class of neural networks (NNs) with time-varying delay and actuator saturation. First, in view of the limited communication channel capacity of the network system and unnecessary data transmission in the NCSs, an adaptive event-triggered scheme (AETS) is introduced to reduce the network load and improve network utilization. Second, under the AETS, the synchronization error model of the delayed master-slave synchronization system is constructed with actuator saturation. Third, based on Lyapunov–Krasovskii functional (LKF), a new sufficient criterion to guarantee the asymptotic stability of the synchronization error system is derived. Moreover, by solving the stability criterion expressed in the form of a set of linear matrix inequalities (LMIs), some necessary parameters of the system are obtained. At last, two examples are expressed to demonstrate the feasibility of this method.
Metamaterial Based Compact Branch-Line Coupler with Enhanced Bandwidth for Use in 5G Applications

─ A novel compact 5G branch-line coupler (BLC) based on open-circuit coupled-lines and interdigital capacitor structure is presented in this paper. The proposed BLC shows the composite right/left handed (CRLH) metamaterial transmission-line (TL) operation. The proposed BLC is designed and simulated using CST microwave studio. The designed BLC is then fabricated using the FR4 substrate (εr = 4.3 and h = 1.66mm). The proposed 5G BLC with coupled-lines and the interdigital capacitor has achieved the fractional bandwidth of ~ 40.2% and the size reduction of 54% as compared to the conventional BLC. The fabricated BLC operates at 2.74 – 4.15GHz frequency band with a coupling factor of -3 ± 0.2dB and the phase difference of 88 between the output ports. The BLC measurements are performed at the operating frequency of 3.5GHz. The simulated and measured scattering parameters and phase difference results are in good agreement with each other. The proposed design is suitable for use in future butler-matrix based beamforming networks for antenna array systems in 5G wireless applications. Index Terms ─ 5G, beamforming network, branch-line coupler, butler-matrix, Composite Right/Left Handed (CRLH) Transmission-Line (TL), interdigital capacitor.
Detecting Breast Cancer from Whole Slide Images using Deep Learning

The presence of lymph gland metastases is the foremost important factor in breast cancer prognosis. This process is timeconsuming, tedious and error prone. Recent advances in whole-slide imaging and machine learning have opened an avenue for analysis of digitized slide sections of lymph nodes with computer algorithms. In this paper we train a deep learning framework on a unique dataset of annotated, whole-slide digital histopathology images from the CAMELYON16 Grand Challenge to detect and outline the probable metastatic regions in whole slide images.
Optimising health and economic impacts of COVID-19 vaccine prioritisation strategies in the WHO European Region

Background: Countries in the World Health Organization (WHO) European Region differ in terms of the COVID-19 vaccine roll-out speed. We evaluated the health and economic impact of different age-based vaccine prioritisation strategies across this demographically and socio-economically diverse region. Methods: We fitted country-specific age-stratified compartmental transmission models to reported COVID-19 mortality in the WHO European Region to inform the immunity level before vaccine roll-out. Building upon broad recommendations from the WHO Strategic Advisory Group of Experts on Immunisation (SAGE), we examined four strategies that prioritise: all adults (V+), younger (20-59 year-olds) followed by older adults (60+) (V20), older followed by younger adults (V60), and the oldest adults (75+) (V75) followed by incremental expansion to successively younger five-year age groups. We explored four roll-out scenarios based on projections or recent observations (R1-4) - the slowest scenario (R1) covers 30% of the total population by December 2022 and the fastest (R4) 80% by December 2021. Five decision-making metrics were summarised over 2021-22: mortality, morbidity, and losses in comorbidity-adjusted life expectancy (cLE), comorbidity- and quality-adjusted life years (cQALY), and the value of human capital (HC). Six sets of infection-blocking and disease-reducing vaccine efficacies were considered. Findings: The optimal age-based vaccine prioritisation strategies were sensitive to country characteristics, decision-making metrics and roll-out speeds. Overall, V60 consistently performed better than or comparably to V75. There were greater benefits in prioritising older adults when roll-out is slow and when VE is low. Under faster roll-out, V+ was the most desirable option. Interpretation: A prioritisation strategy involving more age-based stages (V75) does not necessarily lead to better health and economic outcomes than targeting broad age groups (V60). Countries expecting a slow vaccine roll-out may particularly benefit from prioritising older adults. Funding: World Health Organization, Bill and Melinda Gates Foundation, the Medical Research Council (United Kingdom), the National Institute of Health Research (United Kingdom), the European Commission, the Foreign, Commonwealth and Development Office (United Kingdom), Wellcome Trust
Structural, elastic and thermodynamic properties of tetragonal and orthorhombic polymorphs of Sr2GeN2: an ab initio investigation

ABSTRACT The structural, elastic and thermodynamic properties of the α (tetragonal) and β (orthorhombic) polymorphs of the Sr2GeN2 compound have been examined in detail using ab initio density functional theory pseudopotential plane-wave calculations. Apart the structural properties at the ambient conditions, all present reported results are predicted for the first time. The calculated equilibrium lattice parameters and inter-atomic bond-lengths of the considered polymorphs are in good agreement with the available experimental data. It is found that α-Sr2GeN2 is energetically more stable than β-Sr2GeN2. The two examined polymorphs are very similar in their crystal structures and have almost identical local environments. The single-crystal and polycrystalline elastic parameters and related properties – including elastic constants, bulk, shear and Young’s moduli, Poisson’s ratio, anisotropy indexes, Pugh’s criterion, elastic wave velocities and Debye temperature – have been predicted. Temperature and pressure dependence of some macroscopic properties – including the unit-cell volume, bulk modulus, volume thermal expansion coefficient, heat capacity and Debye temperature – have been evaluated using ab initio calculations combined with the quasi-harmonic Debye model.
PARALLEL SLOT LOADED PROXIMITY COUPLED MICROSTRIP ANTENNA FOR WIRELESS COMMUNICATION APPLICATION

Microstrip antennas are very promising due to their integration capability but lack in bandwidth. In many communication applications they need to operate in broadband as well as dual-band. An L-strip fed slot loaded antenna has been presented. The circular radiating patch using RT-Duroid with єr = 2.2 is located at . 09 λ0 (11mm) above ground plane. The variation of slot length and horizontal length of the L-strip has been investigated in the circular disk patch antenna for the return loss. The antenna shows dual band as well as wideband behaviour. It is found that antenna attains impedance bandwidth of 45% (Return loss<-10dB) in the frequency range (3.46GHz-5.5GHz). A parametric study has been carried out in investigation which is based on cavity model and circuit theoretic approach. The theoretical results are compared with the simulated results obtained from IE3D simulation software [18] which are in close agreement.