Attitudes of Pharmacists toward Their Role in Community-Based Clinical Services in Jordan

This study aimed to explore the attitudes of community pharmacists concerning the issues related to community pharmacy services in Jordan. The quantitative method was employed, through a self-administered questionnaire, for the purposes of collecting the data. The sample of the study consisted of 582 pharmacists from the governorates of Jordan, who were selected randomly, and completed the questionnaire between January and February 2016. The issues proposed by pharmacists were diagnosis (70.6%), therapy (13.4%), physician (2.7%), reproductive health (1.7%), and health in general (11.5%). The results revealed statistically significant differences between the attitudes of the participants of the study due to gender, experience, education and province. Keywords: Pharmacists, Community Clinical, Clinical Services in Jorda

An Implementation of Intrusion Detection System Using Genetic Algorithm

Nowadays it is very important to maintain a high level security to ensure safe and trusted communication of information between various organizations. But secured data communication over internet and any other network is always under threat of intrusions and misuses. So Intrusion Detection Systems have become a needful component in terms of computer and network security. There are various approaches being utilized in intrusion detections, but unfortunately any of the systems so far is not completely flawless. So, the quest of betterment continues. In this progression, here we present an Intrusion Detection System (IDS), by applying genetic algorithm (GA) to efficiently detect various types of network intrusions. Parameters and evolution processes for GA are discussed in details and implemented. This approach uses evolution theory to information evolution in order to filter the traffic data and thus reduce the complexity. To implement and measure the performance of our system we used the KDD99 benchmark dataset and obtained reasonable detection rate

Blue Economy in Bangladesh: Proposed Model and Policy Recommendations

Rapid economic growth coupled with a rising population is putting immense pressure on the environment, ecology and natural resources in Bangladesh. In order to ensure the optimum opportunities for a productive and healthy life for the people while maintaining the balance in nature and ensuring sustainability for future generations, the country has to have balanced socio-economic development. Geographically Bangladesh is blessed by the Bay of Bengal and Blue Economy is very much suitable for Bangladesh by considering the maritime area and its connection with the people of Bangladesh as well as its economy. However, the aim of the paper is to look at the contemporary situation in Bangladesh in the context of the Blue Economy and its relevance for Bangladesh through some effective strategies. Effective implementation of strategies will play the major role for obtaining the sustainable economic development in Bangladesh. Moreover, the key role of the current study is that it focuses on Sustainable Blue Economy Bangladesh, as there is a vacuity in contemporary literature on this topic in the context of Bangladesh. The article concludes with an analysis of the policy recommendations to obtain Sustainable Blue Economy in Bangladesh. Keywords: Blue Economy; Sustainable Blue Economy; Sustainable Development; Strategies; Bangladesh

Understanding power transformer frequency response analysis signatures

This paper presents a comprehensive analysis of the effects of various faults on the FRA signatures of a transformer simulated by a high-frequency model. The faults were simulated through changes in the values of some of the electrical components in the model. It was found that radial displacement of a winding alters the FRA signature over the entire frequency range (10 Hz-1 MHz), whereas changes due to axial displacement occur only at frequencies above 200 kHz. A Table listing various transformer faults and the associated changes in the FRA signature was compiled and could be used in the formulation of standard codes for power transformer FRA signature interpretation

A rule-based machine learning model for financial fraud detection

Financial fraud is a growing problem that poses a significant threat to the banking industry, the government sector, and the public. In response, financial institutions must continuously improve their fraud detection systems. Although preventative and security precautions are implemented to reduce financial fraud, criminals are constantly adapting and devising new ways to evade fraud prevention systems. The classification of transactions as legitimate or fraudulent poses a significant challenge for existing classification models due to highly imbalanced datasets. This research aims to develop rules to detect fraud transactions that do not involve any resampling technique. The effectiveness of the rule-based model (RBM) is assessed using a variety of metrics such as accuracy, specificity, precision, recall, confusion matrix, Matthew’s correlation coefficient (MCC), and receiver operating characteristic (ROC) values. The proposed rule-based model is compared to several existing machine learning models such as random forest (RF), decision tree (DT), multi-layer perceptron (MLP), k-nearest neighbor (KNN), naive Bayes (NB), and logistic regression (LR) using two benchmark datasets. The results of the experiment show that the proposed rule-based model beat the other methods, reaching accuracy and precision of 0.99 and 0.99, respectively

Predicting COVID-19 Using JNN

Abstract: In, this research embodies the spirit of interdisciplinary collaboration, bringing together data science, healthcare, and public health to address one of the most significant global health challenges in recent history. The achievements of this study underscore the potential of advanced machine learning techniques to enhance our understanding of the pandemic and guide effective decision-making. As we navigate the ongoing battle against COVID-19 and prepare for future health emergencies, the lessons learned from this research serve as a testament to the power of data-driven insights and the unwavering commitment of the global scientific community in the face of adversity

Spotify Status Dataset

Abstract: The Spotify Status Dataset is a valuable resource that provides real-time insights into the operational status and performance of Spotify, a popular music streaming platform. This dataset contains a wide array of information related to server uptime, user activity, service disruptions, and more, serving as a critical tool for both Spotify's internal monitoring and the broader data analysis community. As digital services like Spotify continue to play a central role in music consumption, understanding the platform's status becomes crucial for ensuring a seamless user experience. This dataset offers numerous research and analysis opportunities, whether you're interested in exploring service availability trends or investigating user behavior patterns during service disruptions. This study highlights the significance of the Spotify Status Dataset, its potential applications, and the valuable insights it can offer to various stakeholders, from Spotify engineers working to enhance service reliability to researchers studying the effects of downtime on user engagement. It invites readers on a journey through this dataset to uncover the secrets of Spotify's operational status and its impact on music enthusiasts worldwide

Sinteza i antimikrobno djelovanje novih derivata tienopirimidina

Reaction of heteroaromatic o-aminonitrile with ethyl N-/bis(methylthio)methyleneamino acetate resulted in annelation of a thieno/3,2-e/imidazo/1,2-c/pyrimidine moiety in a one step process. /1,2,4/Triazolo/4,3-c/thieno/3,2-e/pyrimidine derivatives were prepared by initial treatment of o-aminonitrile with carbon disulfide, followed by methylation with methyl iodide and subsequent reaction with benzhydrazide and thiosemicarbazide, respectively. Hydrazinothieno/2,3-d/pyrimidine was prepared by cyclization of heteroaromatic o-aminoester with formamide, followed by chlorination and subsequent displacement with hydrazine. Treatment of the hydrazine derivative with acetylacetone, benzaldehyde and acetic anhydride afforded pyrazolylpyrimidine, benzylidenehydrazonopyrimidine and trizolopyrimidine derivatives, respectively. Some of these derivatives exhibited pronounced antimicrobial activity.Reakcijom heteroaromatskih o-aminonitrila s etil N-/bis(metiltio)metilenamino acetatom u jednom sintetskom koraku došlo je do anelacije u tieno/3,2-e/imidazo/1,2-c/pirimidin. Derivati /1,2,4/triazolo/4,3-c/tieno/3,2-e/pirimidina pripravljeni su reakcijom o-aminonitrila s ugljikovim disulfidom, te metilacijom s metil-jodidom i naknadnom reakcijom s benzhidrazidom, odnosno tiosemikarbazidom. Hidrazinotieno/2,3-d/pirimidin je pripravljen ciklizacijom heteroaromatskog o-aminoestera s formamidom, te kloriranjem i supstitucijom s hidrazinom. Reakcijom hidrazinskog derivata s acetilacetonom, benzaldehidom ili anhidridom octane kiseline nastali su derivati pirazolilpirimidina, benzilidenehidrazonopirimidina, odnosno trizolopirimidina. Neki od tih derivata djeluju antimikrobno

Sinteza i antimikrobno djelovanje novih derivata tienopirimidina

Reaction of heteroaromatic o-aminonitrile with ethyl N-/bis(methylthio)methyleneamino acetate resulted in annelation of a thieno/3,2-e/imidazo/1,2-c/pyrimidine moiety in a one step process. /1,2,4/Triazolo/4,3-c/thieno/3,2-e/pyrimidine derivatives were prepared by initial treatment of o-aminonitrile with carbon disulfide, followed by methylation with methyl iodide and subsequent reaction with benzhydrazide and thiosemicarbazide, respectively. Hydrazinothieno/2,3-d/pyrimidine was prepared by cyclization of heteroaromatic o-aminoester with formamide, followed by chlorination and subsequent displacement with hydrazine. Treatment of the hydrazine derivative with acetylacetone, benzaldehyde and acetic anhydride afforded pyrazolylpyrimidine, benzylidenehydrazonopyrimidine and trizolopyrimidine derivatives, respectively. Some of these derivatives exhibited pronounced antimicrobial activity.Reakcijom heteroaromatskih o-aminonitrila s etil N-/bis(metiltio)metilenamino acetatom u jednom sintetskom koraku došlo je do anelacije u tieno/3,2-e/imidazo/1,2-c/pirimidin. Derivati /1,2,4/triazolo/4,3-c/tieno/3,2-e/pirimidina pripravljeni su reakcijom o-aminonitrila s ugljikovim disulfidom, te metilacijom s metil-jodidom i naknadnom reakcijom s benzhidrazidom, odnosno tiosemikarbazidom. Hidrazinotieno/2,3-d/pirimidin je pripravljen ciklizacijom heteroaromatskog o-aminoestera s formamidom, te kloriranjem i supstitucijom s hidrazinom. Reakcijom hidrazinskog derivata s acetilacetonom, benzaldehidom ili anhidridom octane kiseline nastali su derivati pirazolilpirimidina, benzilidenehidrazonopirimidina, odnosno trizolopirimidina. Neki od tih derivata djeluju antimikrobno