Miracle-dz/UniFAR-FTUs huggingface dataset:
Online Recommender System Considering Changes in User's Preference

Recommender systems extract unseen information for predicting the next preferences. Most of these systems use additional information such as demographic data and previous users' ratings to predict users' preferences but rarely have used sequential information. In streaming recommender systems, the emergence of new patterns or disappearance a pattern leads to inconsistencies. However, these changes are common issues due to the user's preferences variations on items. Recommender systems without considering inconsistencies will suffer poor performance. Thereby, the present paper is devoted to a new fuzzy rough set-based method for managing in a flexible and adaptable way. Evaluations have been conducted on twelve real-world data sets by the leave-one-out cross-validation method. The results of the experiments have been compared with the other five methods, which show the superiority of the proposed method in terms of accuracy, precision, recall.
A Review of Mitigation of Attacks in IoT using Deep Learning Models

In current era, the proliferation of IoT devices has transformed our daily life to a new level and made our life easier. IoT devices have interconnected with each other for communing and sharing information to gateways or Access Points (APs) for further processing of data. However, this provides growth to cybersecurity and zero-day attacks in IoT networks. In this paper, we have reviewed the deep learning models and datasets which are used to detect malicious data in an IoT ecosystem. We have observed that the combination of Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), LSTM, and stacked auto-encoders have better accuracy and precision for detecting malicious packets in the IoT environment. Moreover, a detailed theoretical analysis of deep learning models and datasets is also performed. This review provides a pathway for the new researchers to conduct research in IoT security and privacy issues by making these ﬁndings as references.
The power circuits, the duality of controls and performance appraisal: evidence from a Sri Lankan private university

Purpose: The study investigates the impacts stemming from the interplay between episodic, dispositional and systemic power circuits through which organisational agents influence or transform the coercive and enabling aspects ingrained in the performance appraisal process in a university setting. Research methodology: The paper uses a single case study method based on a private university. Data was collected using interviews, documentary evidence and observations. Results: We found that coercive controls become dominance over enabling controls of performance appraisal as an outcome of the ongoing implicit struggle between internal agents who pursue diverse interests and power relations in the private university setting. Limitations: As the research is directed towards the selection of in-depth inquiry of specific setting infused with culture, values, and ideology, it might cause to diminish the researcher’s analytical objectivity and independence of the research. Contribution: The study suggests that the realizing of power remained with the agent’s discretion within day-to-day interrelations. Therefore, the agents’ power relations are significant in deciding the intensity of dual controls in the performance appraisal practice. Keywords: Performance appraisal, Power circuits, Enabling controls, Coercive controls, University
Automated Data Validation in Machine Learning Systems

Machine Learning (ML) algorithms are a standard component of modern software systems. The validation of data ingested and produced by ML components has become a central challenge in the deployment and maintenance of ML systems. Subtle changes in the input data can result in unpredictable behavior of an ML algorithm that can lead to unreliable or unfair ML predictions. Responsible usage of ML components thus requires well calibrated and scalable data validation systems. Here, we highlight some challenges associated with data validation in ML systems. We review some of the solutions developed to validate data at the various stages of a data pipeline in modern ML systems, discuss their strengths and weaknesses and assess to what extent these solutions are being used in practice. The research reviewed indicates that the increasing need for data validation in ML systems has driven enormous progress in an emerging community of ML and Data Base Management Systems (DBMS) researchers. While this research has led to a number of technical solutions we ﬁnd that many ML systems deployed in industrial applications are not leveraging the full potential of data validation in practice. The reasons for this are not only technical challenges, but there are also cultural, ethical and legal aspects that need to be taken into account when building data validation solutions for ML systems. We identify the lack of automation in data validation as one of the key factors slowing down adoption of validation solutions and translation of research into useful and robust ML applications. We conclude with an outlook on research directions at the intersection of ML and DBMS research to improve the development, deployment and maintenance of ML systems.
Antibacterial effect of Artemisia and ginger extracts in controlling Agrobacterium tumefaciens in roses

Rose is the world’s most traded cut flowers with 74 % being produced in Kenya. Pests like spider mites, caterpillar, aphids, thrips, nematodes and diseases such as crown gall, downy mildew, powdery mildew and botrytis highly compromise rose production. Crown gall disease caused by Agrobacterium tumefaciens is the most problematic disease of roses in Kenya, causing production loss of up to 60 % depending on the age and variety of rose. An experiment to determine the antibacterial effect of Artemisia and ginger extracts was carried out in vitro, where the inhibitory zones around filter discs soaked with extracts on Muller Hinton agar was established. The extracts were emulsified with dimethylsulfoxide (50 %) and minimum inhibitory concentrations of Artemisia (125 mg/ml), ginger (62.5 mg/ml) and mixture of Artemisia and ginger (31.25 mg/ml) were used to soak the filter discs whereas the commercial recommended rate of copper hydroxide of 6.25 mg/ml was used. Artemisia and copper hydroxide (commercial antibiotic) had highest inhibition zone of 12.80 mm compared to ginger 10.60 mm. Mixture of Artemisia and Ginger had slightly lower inhibition zone (10.20 mm) though not significantly different from ginger (P> 0.001). An eight-month greenhouse experiment was also done to determine the efficacy of the extracts on inoculated rose plants. The results showed that crown gall incidence and gall weight were low but not significantly different from copper hydroxide and Artemisia. Crop vigor, which was indicated by stem length was highest for Artemisia treatment with an average of 73.54 cm followed by copper hydroxide (67.25 cm) while ginger and mixture of ginger and Artemisia had 53.44 cm and 64.70 cm respectively. From the results of this research, Artemisia and Ginger extracts are promising alternative to control crown gall and possibly other diseases in field crops. Artemisia performance compares well with copper hydroxide and therefore the best alternative to replace copper hydroxide.
Antibiotic Resistance Patterns of Bacteria Isolated from Dechlorinated Water Samples

Chlorination has been the method of choice for disinfecting water used for drinking purposes. However, some stressed bacteria during chlorination are able to recover and alter the potability of water. This study assessed the recovery of stressed bacteria in dechlorinated water. Ten chlorinated water samples were collected from different points within Ilorin metropolis, Kwara, Nigeria. The samples (100ml) were dechlorinated with 0.1ml of 11.4mM sodium thiosulphate solution. The physicochemical characteristics of the chlorinated water samples were determined while bacteriological analyses were carried out on both chlorinated and dechlorinated water samples. The antibiotic susceptibility pattern of the isolates was determined using disc diffusion method. The physicochemical characteristics of the water samples ranged as follow: pH 7.3-8.4, chloride content 4.37-6.85 mg/l, suspended solids 0.004-0.017 g/100ml, and total hardness 30-72mg/l. The chlorinated water samples had bacterial, total, and faecal coliform counts ranging from 1.0 × 10 1 – 1.9 × 10 4 cfu/ml, 0 – 480 MPN/100ml, and zero, respectively. The dechlorinated water sample had corresponding counts of 5.4 × 10 2 – 7.36 × 10 4 cfu/ml, 6 1100 MPN/100ml, and 0 – 380 MPN/100ml. A total of eleven bacterial species belonging to the genera Bacillus, Burkholderia, Citrobacter, Enterobacter, Enterococcus, Escherichia, Staphylococcus, Serratia, and Streptococcus were isolated. Not lower than 60% of the bacterial isolates were susceptible to ofloxacin and ciprofloxacin. All the isolates exhibited multiple antibiotic resistances. The antibiotic resistance pattern of an isolate of Citrobacter freundii to cefuroxime, cefixime, and gentamycin changed remarkably and was plasmid-mediated, while that of E. coli and Enterobacter agglomerans remained unchanged to all the antibiotics and was non-plasmid mediated. Chlorination of water at the point of use is recommended. It is concluded that chlorination is essential in order to prevent reactivation of stressed bacteria during distribution and prevent infection by bacteria with high multiple antibiotic resistance index.
Mitigating moisture stress in Indian mustard (B. juncea) through polymer

Under the current changing climate scenario, the development of drought mitigation strategies is the need of the hour to enhance water productivity and minimize the yield losses in the Indian mustard (Brassica juncea L.). To address the issue, a field experiment was conducted during 2018-19 to evaluate the field efficacy of the superabsorbent polymer (SAP: Pusa hydrogel) and its application rates 1.5, 2.5 and 5.0 kg ha and compared with control under moisture stress and normal moisture conditions in a randomized complete block design and replicated thrice. The values of growth, yield attributes and seed and stover yields of the Indian mustard were significantly (P=0.05) reduced due to moisture stress, but improved with the use of SAP. The maximum seed yield (2.88 t ha) and stover yield (6.84 t ha) were obtained at SAP @ 5.0 kg ha with normal moisture which were improved by 48.4 % and 20.6 % over the control, and 15.2–36.5 % and 9.1– 16.3 % over the SAP levels (1.5–5.0 kg ha) of moisture stress regime, respectively. This indicated that application of SAP (5.0 kg ha) reduced the yield penalty due to moisture stress. Seed yield with 5.0 kg SAP ha improved by 12.11% and 3.97 % under moisture stress and normal moisture regimes, respectively over the 2.5 kg SAP ha. This suggested that application of 5.0 kg SAP ha under moisture stress and 2.5 kg SAP ha under normal moisture was found beneficial in enhancing the seed yield of mustard. The water productivity (WP) was comparatively higher (~ 6.6 %) under moisture stress over 1.32–1.67 kg m recorded under normal moisture. The maximum WP under both the moisture regimes were obtained with the SAP @ 5.0 kg ha. The WP improved by 10.6, 20.4 and 26.5 % under normal moisture and by 11.2, 18.7 and 32.8 % under moisture stress with 1.5, 2.5 and 5.0 kg SAP ha, respectively over the respective controls. This signifies the beneficial role of SAP in achieving higher WP levels, particularly under moisture stress. Thus, the study recommends the use of SAP @ 2.5 kg ha under normal moisture and 5.0 kg ha under moisture stress to achieve the maximum seed yield and water productivity with concomitant saving of 16-20 % water with the later.
The Effect of Google Search Volume Index on the Stock Market Excess Returns. Evidence from Listed firms in Pakistan stock Exchange

ARTICLE DETAILS ABSTRACT History: Accepted 29 Feb 2021 Available Online March 2021 The aim of this study is to examine whether google search volume index (GSVI) as a tool of investor’s attentions can be of great used to forecast stock returns. In this paper we answer the question whether “price pressure hypothesis “would hold true for Pakistan stock markets. The nature of current study is quantitative in nature and research design is used to test the hypothesis developed to examine google search volume index and stocks return behavior. We used balanced panel data for the period from 2003 to 2019 for companies listed in Pakistan stock exchange. In this paper, we use regression technique for econometrics estimation. The results showed that high and a positive return is associated with high google search volume. To be more accurate, we can say that a google search volume index is an important and useful predictor for both the directions and magnitude of excess returns. We suggest that, this study will be helpful for the information of profitable trading strategies. With this study, we complement all previous work done in developed countries on the correlation between stock trading behavior and search intensity by using more robust statistical techniques and large sample size.
THE ROLE OF WOMEN EMPOWERMENT IN AGRICULTURE ON HOUSEHOLD FARM COMMERCIALIZATION OF MAIZE, POTATOES AND BEANS IN NORTHERN PROVINCE OF RWANDA

In Sub-Saharan Africa, agricultural commercialization is a major factor in household food diversification and household income. To move to agricultural transformation, Rwanda has focused on shifting from subsistence-based farming to market-oriented agriculture. Various studies have been conducted on agricultural commercialization, however, women’s role in the commercialization of agriculture has received little attention and none of the studies have associated it with women’s empowerment in agriculture. In Rwanda, women are principal players in agriculture and food security, therefore, it is important to understand the influence of their empowerment in agriculture on its commercialization. To investigate the relationship between women’s empowerment in agriculture and agricultural commercialization, the Women’s Empowerment in Agriculture Index (WEAI) was used to measure women’s empowerment in agriculture. A sample size of 252 households from Musanze and Burera districts in the Northern Province of Rwanda was used. It was obtained using the multistage and random sampling techniques. To analyze data, a fractional regression model was used. The results revealed that farm commercialization in Rwanda was positively and significantly influenced by WEAI score, farm size and the prices of maize, potatoes and beans. On the other hand, the index has a negative relationship with access to extension services. It is recommended that the government should strengthen policies of empowering women in agriculture.
A Critical Discourse Analysis of Discursive Reproduction of Ideologies in Pakistani and Indian Press Media in the Aftermath of Pulwama Attack

The present study, based on Van Dijk (2005) ideological square model, aims to show how the two countries, i.e., Pakistan and India, represent each other through their newspapers’ discourse. Using Van Dijk’s (2005) framework (positive self-presentation, negative other-presentation) for discourse analysis, this study examines linguistic features in fifty editorials of three Pakistani and three Indian English newspapers. The aforementioned model adopted from Politics, Ideology and Discourse is used to detect discursive structures within editorials and to discover the hidden ideologies. Besides, the researchers have used different discursive strategies such as actor description, euphemism, evidentiality etc., for microanalysis. Moreover, the macro analysis has been done by using the macro strategies, i.e., positive self-presentation and negative other-presentation. The study revealed that Pakistani editorials used micro strategies more than that Indians. The study also revealed that Pakistani editorials relied mostly on positive self-presentation, while Indian editorials focused on negative other-presentation.
Genetical metabolomics of flavonoid biosynthesis in Populus:

Department of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology (VIB), Ghent University, B-9052 Gent, Belgium, United States Dairy Forage Research Center, Agricultural Research Service, United States Department of Agriculture and Department of Forestry, University of Wisconsin, Madison, WI 53706, USA, Department of Genetics, Faculty of Veterinary Medicine, University of Lie` ge, B-4000 Lie` ge, Belgium, and The Research Institute for Nature and Forest (INBO), B-9500 Geraardsbergen, Belgium
Investigation of Promising Antiviral Candidate Molecules based on Algal Phlorotannin for the Prevention of COVID-19 Pandemic by in silico Studies

Background: Coronavirus disease 19 (COVID-19) is a highly contagious and pathogenic viral infection. Research has been stepped up due to the lack of vaccine for this viral infection and no effective treatment against this new virus. In order to control the spread, the effectiveness of algal phlorotannin-derived natural molecules on COVID-19, which are easy to obtain, maintainable and have antiviral efficacy by focusing on the Spike (S) protein of the virus, was investigated by in silico methods. Materials and methods: In this study, molecular docking was performed to highlight the emerging role of the top three molecules amongst the selected 11 compounds against SARS CoV-2-RBD/ACE2 and SARS CoV-2-Spike/TMPRSS2. Results and Discussion: An in silico model of algal molecules interactivity on SARS CoV-2-RBD/ACE2 and SARS CoV-2-Spike/TMPRSS2 receptor was observed. Results suggested that based on in silico model, out of algal phlorotannin ligands, only a diecol showed good binding affinity toward SARS CoV-2-RBD/ACE2 interface, compared as remdesivir, chloroquine and hydroxychloroquine sulfate. Moreover within these potential molecules based phlorofucofuroeckol B can also be protector for only TMPRSS2. Conclusion: In future, these results may be aid to direction of the design and development of potent drugs for COVID-19 treatment based on the severity of infection.
Molecular Typing with BOX-PCR of Staphylococcus aureus Isolated from Milk Samples

Bu calismanin amaci Konya bolgesindeki sigir subklinik mastitinden izole edilen 98 Staphylococcus aureus'u REP ve BOX primerleri ile karakterize etmektir. Ilk olarak REP primeri tarafindan olusturulan bant profili ve BOX primeri tarafindan olusturulan bant profili ayri ayri degerlendirildi. Daha sonra her iki primerin olusturdugu bant profili birlikte degerlendirildi. Bant profillerinin degerlendirilmesi Nei homolojisine gore yapildi ve bir dendogram (UPGMA) elde edildi. ~ 4000-300 bp arasinda degisen toplam 44 bant profili degerlendirildi. Elde edilen verilere gore, hemen hemen ayni izolatlar ayni gruptaydi. Her iki primerin kombinasyonuna dayanan dendrogram, S. aureus suslarinin cogunun % 62'den fazla benzer oldugunu gosterdi. Bu calisma, kombine REP ve BOX-PCR tekniginin S. aureus'ta epidemiyolojiyi arastirmak icin hizli ve guvenilir bir arac sagladigini gostermektedir.
Transformation of A Marginal Lymphoma in Hepatitis C Virus-Infected Patient After Clearance of HCV Viral Load

Transformation of A Marginal Lymphoma in Hepatitis C Virus-Infected Patient After Clearance of HCV Viral Load Martin P, Verdu E, Romera I, Exposito M, Vicente Y, García D, Navarro B, Campos-Martin Y and Bellas C Department of Pathology, Hospital Universitario Puerta de Hierro-Majadahonda, Instituto de Investigacion Sanitaria Puerta de Hierro-Segovia de Arana, Madrid, Spain Department of Hematology, Hospital Universitario Puerta de Hierro-Majadahonda, Madrid, Spain Centro de Investigacion Biomedica en Red de Cancer (CIBERONC), Madrid, Spain Department of Pathology, Hospital Virgen de la Salud, Toledo, Spain
Utilizing ICT in Sustainning National Development Using Digital Economy and IOT

The pervasive utilization of information Technology devices is in crescendo and taking dynamic shift as the day goes by. This started from using computer system for storing of data, communication and transfer of data and now to the use of computer for online marketing and transaction and remote monitoring of device. With computer and mobile devices now people and sell and promote their services at ease on just a click over the internet. And in recent times the availability of strong wired and wireless network connectivity has led to the idea of internet of things. This idea makes possible for human to machine interaction and machine to machine interaction. This development has promised better and easy life even though with some consequences. It provides smart education allowing student learn from anywhere at any time, smart city, smart homes and e-health. This research focuses on exploring the diverse opportunity provided by the IOT and Digital economy for national development. Considering the present outright and outbreak of Covid-19 pandemic, the effective utilization of these techniques can lead to a boost in economy and un- interruptive and smooth running of government, industries educational institution in the face of natural disaster, compared to the gross damaged in economy, industry and educational institution caused by the Covid-19 pandemic.
Surface Morphology of a Gold Core Controls the Formation of Hollow or Bridged Nanogaps in Plasmonic Nanomatryoshkas and Their SERS Responses

Surface-enhanced Raman scattering (SERS) probes with a nanometer-sized interior gap between the Au core and shell, also called nanomatryoshkas (NMs), have attracted great interest in SERS-based bioimaging and biosensing. Recently, seed-mediated growth has been shown to be effective for NM synthesis. We found that the structure of nanogaps inside Au NMs depends strongly on the core surface morphology. Specifically, when the initially citrate-stabilized 15 and 35 nm smooth Au cores were further functionalized with 1,4-benzenedithiol (BDT) in the presence of cetyltrimethylammonium chloride (CTAC), the Au shell growth led to the formation of a subnanometer hollow interior gap containing BDT molecules. In contrast, the use of 23 and 35 nm faceted polygonal CTAC-stabilized Au cores for Au shell growth resulted in NMs with small bridged gaps. The formation of incomplete outer shells with one or two nanometer-sized hollow gaps was also observed for 23 nm polygonal cores but not for 35 nm ones. The experimental SE.
Assessment of Neurobehavioral and Anti-Aging Effect of the Test Formulation in D-Galactose-Induced aging Dysfunction in Sprague Dawley Rats

The study aim was to evaluate the neurobehavioral effect of Consciousness Energy Healing Treated test formulation using behavioral test in male Sprague Dawley rats. The test formulation was divided into two parts, one was denoted as control, while the other was treated with Biofield Energy by Mr. Mahendra Kumar Trivedi (the Trivedi Effect -Consciousness Energy Healing) and defined as the Biofield Energy Treated sample. Besides, three group of animals were also received Biofield Energy Treatment by Mr. Trivedi. In Y-maze test, number of entries was significantly increased in the animals received Biofield Energy Treatment (-15 days) group (G6) by 176%, 47.53%, and 66.67% in the start arm, explored arm, and novel arm, respectively as compared to the untreated test formulation group (G4). Further, Biofield Treated animals