Journal of Science & Technology
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Real Time Hybrid Detective Security System Using GSM Technology
No full textSecurity has become an important issue everywhere and it is becoming necessary nowadays as the possibilities of intrusion are increasing day by day. Safety from theft, ritual killing like badoo in Lagos state Nigeria, as well as October 20th demonstration that was hijack by hoodlum in Nigeria, leaking of raw gas, Human intrusion and fire disaster are the most important requirements of home security system for people. A traditional security system gives the signals in terms of alarm for notification. However, the GSM (Global System for Mobile communications) based security systems provides enhanced security as whenever a signal from sensor occurs from integrated fire alarm system, gas leakage system and human intrusion system, a text message is sent to a desired number(s) to take necessary actions. This research employs a method for Real time intrusion detective security system for fire, gas, and human intrusion, where signal is send through SMS with the application of GSM Technology (sim548c) in line with Atmega644p microcontroller, sensors, relays and buzzers
Streamlining Operations: A Comparative Analysis of Enterprise Integration Strategies in the Insurance and Retail Industries
No full textIn the contemporary business landscape, operational efficiency is paramount, especially in industries characterized by intricate processes and extensive customer interactions, such as insurance and retail. This paper provides a comprehensive comparative analysis of enterprise integration strategies employed within these two critical sectors. By delving into various methodologies, technological frameworks, and strategic approaches, this study aims to elucidate the impact of these strategies on enhancing operational efficiency.
Enterprise integration, a multifaceted domain encompassing various techniques to enable seamless communication and data flow between disparate systems, is vital for ensuring agility, responsiveness, and scalability in organizational processes. The insurance and retail industries, though distinct in their operational paradigms, share commonalities in their reliance on robust integration mechanisms to streamline workflows, improve customer experiences, and foster innovation.
In the insurance sector, the integration of legacy systems with modern platforms, the adoption of middleware solutions, and the deployment of application programming interfaces (APIs) are prevalent strategies. These approaches facilitate real-time data exchange, automate policy management, and enhance claims processing, thereby reducing operational bottlenecks and improving service delivery. Additionally, the emergence of InsurTech—technological innovations designed to optimize insurance processes—plays a pivotal role in driving integration efforts. The incorporation of machine learning algorithms, blockchain technology, and advanced analytics further bolsters the sector\u27s ability to predict risk, personalize offerings, and streamline underwriting processes.
Conversely, the retail industry emphasizes the integration of omnichannel platforms, customer relationship management (CRM) systems, and supply chain management (SCM) solutions. The convergence of online and offline sales channels necessitates sophisticated integration strategies to ensure inventory accuracy, optimize order fulfillment, and enhance customer engagement. Retailers increasingly leverage cloud-based solutions, IoT devices, and artificial intelligence to synchronize data across various touchpoints, enabling a cohesive and responsive retail ecosystem. Furthermore, the integration of point-of-sale (POS) systems with backend operations and e-commerce platforms is critical for maintaining real-time visibility and ensuring a seamless shopping experience.
Despite the distinct operational landscapes of the insurance and retail sectors, common challenges in enterprise integration persist. Data silos, legacy system constraints, and interoperability issues often impede seamless integration. Addressing these challenges requires a holistic approach, encompassing robust data governance frameworks, standardized integration protocols, and a culture of continuous innovation. The paper identifies best practices such as the adoption of microservices architecture, the implementation of enterprise service buses (ESBs), and the utilization of integration platform as a service (iPaaS) solutions as instrumental in overcoming these hurdles.
The comparative analysis reveals that while both industries face unique integration challenges, the underlying principles of achieving operational efficiency through seamless data flow and system interoperability remain consistent. The insurance industry\u27s focus on risk management and regulatory compliance contrasts with the retail sector\u27s emphasis on customer-centricity and real-time responsiveness. However, the convergence of these strategies highlights a shared objective: to leverage technology to streamline operations, enhance decision-making, and drive competitive advantage.
In conclusion, this paper underscores the critical role of enterprise integration in fostering operational efficiency in the insurance and retail industries. By examining various strategies, identifying best practices, and addressing common challenges, the study provides valuable insights for practitioners and policymakers. The findings advocate for a strategic, technology-driven approach to integration, emphasizing the need for continuous innovation and adaptation in an increasingly complex and dynamic business environment. Future research should focus on the evolving landscape of integration technologies and their implications for operational efficiency across diverse industry sectors
Unveiling the Challenges, A Comprehensive Review of Common Hurdles in Maintaining Software Quality
No full textEnsuring and sustaining software quality is a perpetual challenge for organizations in the dynamic realm of software development. This review article delves into the identification and analysis of shared challenges faced by organizations in their ongoing pursuit of software quality. Drawing insights from real-world experiences, industry surveys, and academic research, the article aims to provide a holistic understanding of the multifaceted challenges that impact software quality maintenance. By shedding light on these challenges, this review article aims to assist organizations in developing strategies to overcome hurdles and enhance their software quality assurance practices
Defect Prediction Models in Software Engineering: A Comprehensive Review on Methodologies
No full textDefect prediction models play a crucial role in software engineering by aiding in the identification and prevention of defects before they impact the software\u27s reliability and performance. This research article provides a comprehensive review of defect prediction models, examining their evolution, methodologies, challenges, and future directions. These metrics provide quantitative insights into code quality and defect proneness. Defective software modules cause software failures, increase development and maintenance costs, and decrease customer satisfaction [1]. The aim is to offer researchers and practitioners insights into the current state of defect prediction models and guide future advancements in this critical area of software quality assurance
The Role of Data Science in Modern Economic Forecasting
No full textThis article examines how data science, through machine learning (ML) and artificial intelligence (AI), is revolutionizing economic forecasting. Traditional econometric models, often linear and simplistic, fail to capture complex economic dynamics. Data science, by leveraging vast datasets and advanced algorithms, offers more accurate forecasts for critical indicators such as inflation, unemployment rates, and GDP growth. This paper highlights key use cases of AI-driven models and discusses how they are transforming economic analysis and decision-making
Strategic Analysis of High Conversion Ratios from Marketing Qualified Leads to Sales Qualified Leads in B2B Campaigns: A Case Study on High MQL-to-SQL Ratios
No full textIn the domain of Business-to-Business (B2B) marketing, the transition from Marketing Qualified Leads (MQLs) to Sales Qualified Leads (SQLs) is a critical phase that significantly influences the efficiency and effectiveness of sales operations. This paper presents an exhaustive strategic analysis of B2B campaigns that exhibit high conversion ratios from MQLs to SQLs, with a focus on understanding and implementing successful strategies that optimize lead qualification processes. The primary objective is to elucidate the factors contributing to high MQL-to-SQL conversion rates and to provide actionable insights based on empirical data and case studies.
Marketing Qualified Leads are defined as prospects who have demonstrated interest and engagement with marketing content or initiatives but are not yet ready for a direct sales approach. Sales Qualified Leads, conversely, are those who meet specific criteria indicating readiness for direct sales engagement. The transformation from MQL to SQL is contingent upon several factors including lead scoring mechanisms, alignment between marketing and sales teams, and the effectiveness of lead nurturing practices. This paper will dissect these components in detail, emphasizing the strategic integration of marketing and sales processes to enhance lead conversion efficiency.
The paper begins by defining the theoretical framework surrounding lead qualification and conversion, drawing on established marketing and sales theories. The discussion extends to the methodologies employed for lead scoring, including demographic, behavioral, and engagement-based scoring models. By examining various scoring models and their application in real-world scenarios, this paper aims to identify best practices for optimizing lead qualification processes.
A critical component of the analysis involves exploring the alignment between marketing and sales teams. The paper investigates how interdepartmental collaboration impacts MQL-to-SQL conversion rates, with a particular focus on communication strategies, shared goals, and the integration of CRM systems. Case studies of successful B2B campaigns will be presented to illustrate how effective alignment and collaboration contribute to higher conversion ratios.
Lead nurturing practices are also a significant aspect of the analysis. This paper reviews various lead nurturing strategies such as targeted content delivery, personalized communication, and automated workflows. The effectiveness of these practices in advancing MQLs to SQLs is evaluated through case studies and empirical data, providing a comprehensive understanding of their impact on conversion rates.
The research methodology employed includes both qualitative and quantitative approaches. Quantitative data is derived from a survey of B2B companies with high MQL-to-SQL conversion rates, while qualitative insights are gathered through interviews with marketing and sales professionals. This mixed-methods approach ensures a robust analysis of the factors influencing conversion rates and the effectiveness of different strategies.
The findings reveal that successful B2B campaigns with high MQL-to-SQL conversion rates share several common attributes. These include a well-defined lead scoring system, effective alignment between marketing and sales teams, and sophisticated lead nurturing strategies. The paper also highlights challenges encountered by companies in achieving high conversion rates and proposes solutions to overcome these obstacles.
This paper offers a detailed examination of the strategic elements that contribute to high MQL-to-SQL conversion rates in B2B marketing campaigns. The insights provided are intended to guide practitioners in developing and implementing strategies that enhance lead qualification processes and improve overall sales efficiency. The research contributes to the existing body of knowledge by offering evidence-based recommendations and best practices for optimizing MQL-to-SQL conversions
An Overview Of The Sozo Model: A Synergy Of Three Physiological Aspects For Quality Impact In Psychotherapy
No full textA silver lining of COVID-19 is the surge in adoption of digital health by end users (including patients), patents, and service providers, as well as coverage of digital interventions by insurers and governments. People flocked to well-being apps and telehealth during initial outbreaks and lockdowns to reduce the risks of overloading healthcare systems or contracting or transmitting COVID-19. The top 10 well-being apps generated 2 million more downloads (a 25 % increase) in April as compared with January 2020.[i] Virtual consultations as a proportion of total US outpatient visits spiked from less than 0.01 percent before the pandemic to 69 percent in mid-April, before subsiding to 21 % in July.[ii] Particularly for pre-existing anxiety and depression, teletherapy compensated for fewer in-person visits and reversed an initially steep decline in care delivery. As the pandemic continues, digital health is becoming a new norm. Among respondents to a global survey by Oliver Wyman, 59 percent of those who used telehealth this year plan to continue using remote healthcare because it saves time and costs — with users in China, Germany, and Singapore the most eager.[iii] Even as clinic and hospital visits resume for physical ailments, phone or video consultations remain popular for mental health, which does not typically need in person services such as physical examinations, laboratory tests, or surgical procedures.[iv] Employer and insurer expectations are changing in step. Two-fifths of health insurers are considering adding video-chat counselling services to group benefits plans — with high potential uplifts in Asia and the Middle East, and further extension of relatively high levels of coverage in Latin America. In this regard, the application of the SOZO Reset Model plays an amicable role for a plausible solution. The SOZO reset model will attempt at investigating and approaching psychotherapy through the lenses of psycho-neuro-immunology, and other medical models.
For decades, psychotherapy has been guided and lead by observation, regular evaluation and
assessment of human behavior with lesser validation on evaluation of the success of psychotherapy using neuroscientific testing. In recent years research has evolved and is increasingly linking
mental health disorders with imbalance in various physiological factors in human body such as
sleep deprivation, poor nutrition, stress and quality of thought life (mental hygiene) of an
individual. (Irwin, Olmstead & Carroll; 2015) This model will consider a complete inventory of a patient’s physiological conditions possibly contributing to declining mental health using various assessment tools in the medical model such as fMRI, brain perfusion scan, multiple sleep latency test (MSLT), polysomnography, viom gut bacteria test etc. With the overview of all or most of the aforementioned test results, the psychotherapeutic model will be carefully woven around it while monitoring the above factor on a periodic basis to build a treatment plan.[v]
[i] . Chapple, C. (2020). Downloads of Top English-Language Mental Wellness Apps Surged by 2 Million in April Amid COVID-19 Pandemic. Retrieved December 14, 2021.
[ii] Fox, B., & Owen Sizemore, J. (2020). Telehealth: Fad or the Future. Retrieved January 14, 2022
[iii] Oliver Wyman. (2020). COVID-19 Mobility & City Readiness Survey — Preliminary Results. Retrieved July 14, 2021.
[iv] Ross, C. (2020). Telehealth Visits Are Plunging, Forcing Providers to Recalibrate. Retrieved October 14, 2021.
[v] Monroe, N., & Jankowski, P. J. (2016). The effectiveness of a prayer intervention in promoting change in perceived attachment to God, positive affect, and psychological distress. Spirituality in Clinical Practice, 3(4), 237–249. https://doi.org/10.1037/scp000011
Characterization Of An Active Analyser For Recoil Neutron Polarimetry At High Energy
No full textThe paper ascertained the characterizing and commissioning of an active analyser for recoil neutron polarimetry at higher energy. The active analyser is a component part of the hadron arm of the Super BigBite Spectrometer at the Jefferson Lab, United States. The active analyser consists of thirty-two detectors, an EJ200 scintillator, ET9124 photomultiplier tubes and associated read-out electronics. Initial characterizations of the response to cosmic muons as well as simulation with proton and neutron in obtaining the absolute gain, time response and their efficiencies. The absolute gain and time response obtained were 5.3x108 and 4.86ns, which were within operational parameters respectively; also there is variation in the signal amplitude, signal pulse and noise amplitude for each of the thirty-two detector. From the simulation results, the efficiencies of both cosmic muons and protons were around 0.8 and that of neutron were around 0.4. The variation in signal amplitude and noise level were due to interference from the background as well as loose in the optical grease between the detector and the PMT at resolution of 5ns which means that the detector can take a ray of 200mHz. Also, there are qualitative similarities between experimental and simulated results. Further study is warranted
Advancements in Bug and Issue Tracking Metrics: A Comprehensive Review
No full textBug and issue tracking play a pivotal role in software development, ensuring the identification and resolution of defects. Bug localization refers to the task of automatically processing bug reports to locate source code files that are responsible for the bugs. The effectiveness of bug tracking systems is contingent on well-defined metrics that enable teams to gauge the quality of their software and streamline development processes. This review article delves into the latest advancements in bug and issue tracking metrics, examining their significance, evolution, and practical implications. CMMI is a process-oriented model that aims to improve the maturity of an organization\u27s software development processes
The Science And Physiological Benefits Behind Purposefully Choosing Positive Thoughts
No full textIn an effort to strengthen conceptual foundations of eudaimonic well-being, key messages from Aristotle’s Nichomacean Ethics are revisited. Also examined are ideas about positive human functioning from existential and utilitarian philosophy as well as clinical, developmental, and humanistic psychology. How these perspectives were integrated to create a multidimensional model of psychological well-being [Ryff, C.D.: 1989a, Journal of Personality and Social Psychology 57(6), pp. 1069–1081] is described, and empirical evidence supporting the factorial validity of the model is briefly noted. Life course and socioeconomic correlates of well-being are examined to underscore the point that opportunities for eudaimonic well-being are not equally distributed. Biological correlates (cardiovascular, neuroendocrine, immune) of psychological well-being are also briefly noted as they suggest possible health benefits associated with living a life rich in purpose and meaning, continued growth, and quality ties to others. We conclude with future challenges in carrying the eudaimonic vision forward