AN EMPIRICAL STUDY OF LEAN AND AGILE INFLUENCES IN SOFTWARE CONFIGURATION MANAGEMENT

Based on a web based survey of 158 IT software development practitioners, mostly from different organizations, this paper examines the application of Software Configuration Management (SCM) process in adaptable software development environments. From the literature review six independent variables and five dependent variables were derived to answer the research question “how does organization size impact on the usage of SCM process in adaptable software development environments?” The six hypotheses confirmed that organization size does not impact on the usage of SCM process in adaptable software development environments. Also, all sizes of organizations consider SCM process valuable and have similar software traceability approaches with different process formalities and tools sophistications. This study helps SCM practitioners to build a better understanding of the relationships between adaptable software development environment, lean principles and practices, and the tools and technologies established to facilitate the coexistence of Agile and SCM practices

Evaluation of Therapeutic Trials in Bovines

Brucellosis is one of the most common and economically important zoonotic diseases globally. Office International des Epizooties (OIE) listed it as the second most important zoonotic disease. The disease affects almost all animals but importantly buffalo. The disease manifests itself in the form of abortion, still births, weak calves, infertility, and specific lesions on reproductive organs. It is prevalent worldwide but still a neglected disease. As a zoonotic disease its importance is multifarious for animals as well as public health. Taking into account poor health facilities and unawareness, its control becomes very significant. The difficulty to treat this disease and its zoonotic potential compel slaughtering as a best strategy to get rid of this disease. There are not too many therapeutic trials conducted to control bovine brucellosis. Instead many therapeutic trials have been conducted for treating human brucellosis. The therapeutic trial requires long term administration of drugs (almost 6 weeks) without any surety of complete recovery so it is a preferred practice to eradicate the animal or sell it out instead of treating

A STUDY OF INTERNET THREATS, AVOIDANCE AND BIOMETRIC SECURITY TECHNIQUES - COMPARISON OF BIOMETRIC TECHNIQUES

In today’s IT world, most of the communication is done through networking. So, security of information is very crucial. A lot of techniques have been developed for security which involves passwords, encryption, digital signatures etc. But there are chances of vulnerabilities in these techniques and hackers can break the security algorithms of these techniques. So, in this era, researchers have moved towards biometric techniques of security. It involves identification of people based on their physical characteristics or psychological behaviors. A choice of biometric method to be used is made depending on the level of security required and the goals of the system. Biometric identification is very excellent and secure way of authenticating people. But it can also suffer from security threats, if proper design considerations are not taken into account. This work presents details of biometric techniques and a detailed comparison of most famous biometric techniques

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Information, society and justice: towards a proactive agenda for intellectual and political engagement in a globalising world

This article examines and sets the agenda for engaging issues of information, society and justice in a turbulent world. Its captures the political and intellectual precursors to the current global development and information order. We argue that the current atmosphere, chaotic and unjust as it is, contains both challenge and opportunities, particularly for countries and communities that are often constructed as victims of an unjust world. We then identify the key agenda for research, activism and debate for scholars, activists and development practitioners, as exemplified by the principles, visions and objectives of a newly formed international peer-review journal – Information, Society and Justice - based in London

Hate Speech Detection Model on Web 3.0 Based Platform using Blockchain and NLP

Abstract With the increased usage of social media applications like Facebook, Twitter, or Instagram, hate speech is also rising. Hate speech can be defined as illtalk toward any race, caste, religion, or ethnicity. Now with the new development of web 3.0, which is decentralized, it is challenging to control elements like hate speech because there is no central body that can control it. This research paper presents a novel approach for detecting hate speech on web 3.0-based platforms using blockchain technology and natural language processing (NLP) techniques. The proposed model utilizes blockchain to ensure the immutability and transparency of the data, while NLP algorithms are used to analyze and classify the  text. The experimental results show that the proposed model achieves high accuracy in detecting hate speech, and the use of blockchain technology enhances the trustworthiness and security of the system. The proposed system can effectivelydetect and mitigate hate speech on web 3.0-based platforms and may serve as a valuable tool for promoting online safety and inclusivity