Technological Interventions Research Articles

Exploring the Impact of FinTech Innovations on the U.S. and Global Economies

The advent and propagation of the Financial Technology (FinTech) in the recent times has brought huge transformation on the global financial services industry, providing it with much-needed space for creativity as well as credit to many. This essay discusses the FinTech innovations prism, analyzing their influence on the US and global economies at large. The purpose of this discussion is to provide a nuanced perspective on the place of FinTech within the context of foreign economic circumstances. Via a rather stringent technique which is comprehensive methodology that illustrates the benefits of FinTech market both developed and developing countries, the case study focuses on the attributes of market efficiency, accessibility as well as the challenges in regulation which has been brought forth by the fast technological interventions. Study showed that FinTech is definitely among the factors that drove the progress of financial services in the aspects of efficiency and inclusivity. The influx of new technologies also lead to the complex regulatory challenges that required coordinated global kit of respond. These consequences create high interest for officials, financial experts and researchers who abide the sweeping winds of changes within financial services sector fueled by the advanced innovations. The research does not only explore the gaps between the emerging technologies received among different economic environments but also, it forecasts what the future trends of this field will be that can shape the future of the economy.

Innovative Approaches to Preserving Intangible Cultural Heritage through AI-Driven Interactive Experiences

The preservation of intangible cultural heritage (ICH) is critically challenged by globalization and the rapid evolution of technology. This paper explores innovative strategies for safeguarding ICH using AI-driven interactive experiences, leveraging cutting-edge technologies such as virtual reality (VR), machine learning (ML), and natural language processing (NLP). These technologies not only enable the creation of immersive and personalized experiences that engage users emotionally but also serve to rejuvenate and sustain traditional cultural practices. By detailing specific applications in real-world settings, this study illustrates the transformative potential of AI in making cultural heritage dynamically accessible and engaging. Furthermore, it discusses the broader implications of this technological intervention, emphasizing how AI can contribute to cultural diversity and foster global appreciation of heritage in a sustainable manner. The findings underscore the crucial role AI can play in preserving the rich tapestry of global cultural heritage for future generations.

Conservation of Barilius barila Through Innovative Cultivation: Ecological, Socio-Economic, Ethical Impacts in Bengal and Relevant Legal Issues

The conservation of Barilius barila (locally known as Boroli) is significant for maintaining ecological balance and supporting the socio-economic fabric of North Bengal, India. This study explores innovative cultivation techniques aimed at preserving this species, which is indigenous to the clear streams and shallow rivers of India, Nepal, Bangladesh, and Myanmar. Despite its classification as "Least Concern" by the IUCN, Barilius barila faces threats from environmental degradation, particularly in North Bengal. This research examines the ecological, socio-economic, ethical, and legal dimensions of Barilius barila conservation, with a focus on the artificial cultivation efforts initiated by the West Bengal government in South Bengal. The study employed a mixed-methods approach i.e. water quality assessments, and socio-economic analyses to assess the effectiveness of these conservation strategies. The findings highlight the challenges posed by anthropogenic activities, including pollution, deforestation, and climate change, which have led to the degradation of natural habitats and a decline in the quality of naturally sourced Barilius barila. The research also addresses ethical concerns regarding the potential impact of artificial cultivation on the species' taste and market value which necessitates legal frameworks to support sustainable practices. This study advances the understanding of Barilius barila conservation by providing an analysis of the species' ecological role, the socio-economic implications of its decline, and the effectiveness of innovative cultivation methods. The finding justifies the importance of balancing technological interventions with the preservation of natural habitats, ensuring the long-term sustainability of Barilius barila and its ecological niche in North Bengal.

Ex-ante life cycle evaluation of spent lithium-ion battery recovery: Modeling of complex environmental and economic impacts

The recycling of lithium-ion batteries (LIBs) is essential for promoting the closed-loop sustainable development of the LIB industry. However, progress in LIB recycling technologies is slow. There are significant gaps between academic research and industrial application, which hinder the industrialization of new technologies and the improvement of existing ones. Here we show a universal model for spent LIB-lithium recycling (SliRec) to evaluate the applicability and upgrading potential across various recycling technologies. Instead of modeling the entire recycling process, we focus on partial processes to enable a comparative analysis of environmental and economic impacts. We find a strong correlation between lithium concentration (LC) and the advancement of recycling technologies, where higher LC is associated with a reduced carbon footprint and increased economic benefits. The implementation of high-level recycling technology can result in an 85.91% reduction in carbon footprint and a 5.97-fold increase in economic returns. Additionally, we explore the effects of technological interventions through scenario analysis, demonstrating that while low-level recycling technology faces more substantial challenges in upgrading, it holds greater potential for reducing carbon emissions (−2.38 kg CO2-eq mol−1) and enhancing economic benefits (CNY 11.04 mol−1). Our findings emphasize the significance of process modeling in evaluating the quality of spent LIB recycling technologies, and can provide comparative information for the application of emerging technologies or the upgrade of existing ones.

The impact of overweight and obesity on health outcomes in the United States from 1990 to 2021.

Elevated body mass index (BMI) presents a significant public health challenge in the United States, contributing to considerable morbidity, mortality and economic burden. This study investigates the health burden of overweight and obesity in the United States from 1990 to 2021, leveraging the Global Burden of Disease data set to analyse trends, disparities and potential determinants of high BMI-related health outcomes. Our study focused on the United States, analysing trends in disability-adjusted life years (DALY) and deaths attributable to high BMI, defined as a BMI of 25 kg/m2 or higher for adults. Statistical analyses included estimated annual percentage change (EAPC) in age-standardized DALY rates and age-standardized death rates. Pearson correlation was performed between EAPCs and the socio-demographic index (SDI), with significance set at p < 0.05. From 1990 to 2021, age-standardized DALY rates attributable to high BMI increased by 24.9%, whereas the age-standardized death rates increased by 5.2%. Age disparities showed DALYs peaking at 60-64 years for males and 65-69 years for females, with deaths peaking at 65-69 years for males and 90-94 years for females. A strong negative correlation was found between the EAPC in age-standardized DALY and death rates and the SDI. Overweight and obesity significantly impact public health in the United States, especially among older adults and lower socio-demographic regions. Comprehensive public health strategies integrating behavioural, technological and environmental interventions are crucial. Future research should focus on longitudinal studies, personalized interventions and policy-driven approaches to address the multifaceted influences on high BMI.

Effectiveness of Technological Interventions for Older Adults With Parkinson Disease: Systematic Review.

Among the older population, Parkinson disease (PD) stands out as a leading contributor to disability. Clinically, the foremost objectives in managing PD involve proactively delaying and preventing disability. Understanding the pivotal role of gait and balance in daily functionality holds substantial clinical significance, signaling imminent disability and prompting a reevaluation of management approaches. A key priority lies in identifying novel and effective interventions for symptoms that substantially contribute to disability. This paper presents a systematic review that critically examines the existing body of literature on the use of technology in the rehabilitation of older patients with PD. By synthesizing current evidence, we aim to provide insights into the state of the field, identify gaps in knowledge, and offer recommendations for future research and clinical practice. A systematic review of the literature was conducted in September 2023 analyzing manuscripts and papers of the last 5 years from the PubMed, Scopus, Embase, Web of Science, and CINAHL databases following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A total of 14 papers were included. The inclusion criteria are as follows: (1) randomized controlled trial, (2) PD in people aged 65 years and older, and (3) use of technology in the rehabilitation training in the older population. A large portion of effective interventions relies on the incorporation of technology, particularly through virtual reality exergames. This technology appears to have effects not only on the cognitive aspect but also on the physical domain. The analysis of the results clearly indicates that, in terms of gait and balance performance, the technological intervention outperforms the traditional approach, irrespective of the specific technology employed. This systematic review seeks to shed light on the evolving landscape of technology-assisted rehabilitation for older individuals with PD. As we delve into the available evidence, we will assess the extent to which technology can serve as a valuable adjunct to conventional therapy, offering new avenues for optimized care and improved outcomes in this growing patient demographic. As we sift through the existing evidence, our goal is to evaluate the potential of technology as a valuable supplement to traditional therapy, presenting fresh opportunities for enhanced care and better outcomes in this expanding patient demographic.

Sham feeding as a nursing technology: recent progress and future perspective

Abstract Sham feeding is a conventional technique employed in enhanced recovery after surgery (ERAS) protocols to facilitate the restoration of gastrointestinal motility. Currently, effectiveness of sham feeding extends beyond the postoperative phase following abdominal surgery, demonstrating potential applicability in non-abdominal postoperative rehabilitation. Studies have shown that sham feeding triggers the head-vagal reflex, thereby promoting gastrointestinal motility through a combination of humoral and neural stimulation. Recognized as a highly promising ERAS technology, sham feeding needs to be further investigated regarding the form, mechanism, and application of sham feeding. This paper summarized the research progress and limitations of sham feeding. Considering contemporary research focus on the gut-brain axis, we proposed a new concept of sham feeding that integrates visual, auditory, and olfactory stimuli. Additionally, we provide suggestions and perspectives to guide future exploration of sham feeding for its potential impact on development of non-drug nursing intervention technology based on the concept of ERAS.

Management of Diamondback Moth and Black Rot Disease in Cauliflower through Front Line Demonstration at Farmer’s Field in Doddaballapur Taluk, Bengaluru Rural District, Karnataka, India

A study on management of diamondback moth and black rot was carried at Doddaballapur taluk by ICAR-KVK, Bengaluru Rural District, through front line demonstration during 2022-2023. The results indicated that infestation of diamondback moth and black rot was observed both under farmer’s practice plots and front line demonstration plots. The infestation of diamondback moth was 7.36 per cent and 29.32 per cent in FLD plots and farmer’s practice plots, respectively. Similarly, black rot incidence was 5.21 per cent and 16.62 per cent in demonstration plots and farmer’s practice plots, respectively. The weight of curd and total yield obtained under front line demonstration was maximum (2.234 kg/ plant and 26.29 t/ha) and was minimum under farmer’s practice plots (1.258 kg/plant and 22.98 t/ha). The analysis of cost economics revealed that higher gross and net returns and BC ratio were obtained in FLD plots (4,73,220 Rs/ha, 2,87,043.20 Rs/ha, and 2.54, respectively); low gross and net returns and BC ratio were obtained under farmer’s practice plots (4,13,640 Rs/ha, 2,45,588.20 Rs/ha, and 2.46, respectively). The analysis of gaps: total yield gap, technological gap, extension gaps and extent of adoption after FLD revealed that there is a need to bridge the gaps through proper training, method demonstration, dissemination of technological interventions, instilling coordination and removal of circumstantial differences between the farmers, researchers, and scientists, and convincing the farmers to adopt improved practices for management of diamondback moth and black rot in cauliflower.

Obstacles and countermeasures for protecting Internet of Things devices from emerging security risks

The rapid proliferation of Internet of Things (IoT) devices has ushered in a paradigm shift, revolutionising the way we interact with and perceive our environment. This phenomenon has given rise to a hyper-connected ecosystem, seamlessly integrating smart devices into the fabric of homes, cities and industries. While this interconnectedness holds tremendous promise for enhancing efficiency and convenience, it concurrently exposes a complex web of security challenges. This paper delves into the intricate interplay between the expansive scope of IoT deployment and the challenges it poses to security practitioners, policymakers and technology developers alike. By critically assessing current security gaps and potential weaknesses in IoT infrastructures, the research identifies key areas of vulnerability, ranging from insecure communication protocols and inadequate device authentication to insufficient data encryption. In response to these identified challenges, the paper proposes a set of innovative and pragmatic countermeasures aimed at mitigating emerging threats to IoT security. Emphasising the importance of a holistic security framework, the suggested countermeasures span technological enhancements, policy interventions and user education initiatives. The goal is to establish a resilient security posture that not only addresses current vulnerabilities but also adapts to the evolving threat landscape, thereby fostering a more secure and trustworthy IoT ecosystem. Through this research, we aim to contribute valuable insights to the ongoing discourse on IoT security, fostering a deeper understanding of the intricate dynamics at play and providing actionable recommendations for stakeholders invested in fortifying the security foundations of our increasingly interconnected world.

Impact of technological interventions of KVK, Utukur, Kadapa on farming community of YSR district

Impact of technological interventions of KVK, Utukur, Kadapa on farming community of YSR district

A New Perspective on Assessing the Real Water Savings Resulting from Irrigation Technology Interventions

A New Perspective on Assessing the Real Water Savings Resulting from Irrigation Technology Interventions

Smart City Initiatives and Urban Governance in India: Evaluating Technological Interventions for Sustainable Development

Smart City Initiatives and Urban Governance in India: Evaluating Technological Interventions for Sustainable Development

Artificial intelligence and the politics of avoidance in global health

For decades, global health actors have centered technology in their interventions. Today, artificial intelligence (AI) is emerging as the latest technology-based solution in global health. Yet, AI, like other technological interventions, is not a comprehensive solution to the fundamental determinants of global health inequities. This article gathers and critically appraises grey and peer-reviewed literature on AI in global health to explore the question: What is avoided when global health prioritizes technological solutions to problems with deep-seated political, economic, and commercial determinants?Our literature search and selection yielded 34 documents, which we analyzed to develop seven areas where AI both continues and disrupts past legacies of technological interventions in global health, with significant implications for health equity and human rights. By focusing on the power dynamics that underpin AI's expansion in global health, we situate it as the latest in a long line of technological interventions that avoids addressing the fundamental determinants of health inequities, albeit at times differently than its technology-based predecessors. We call this phenomenon the ‘politics of avoidance.’ We conclude with reflections on how the literature we reviewed engages with and recognizes the politics of avoidance and with suggestions for future research, practice, and advocacy.

Teacher- Versus AI-Generated (Poe Application) Corrective Feedback and Language Learners’ Writing Anxiety, Complexity, Fluency, and Accuracy

This study examines the effects of corrective feedback (CF) on language learners’ writing anxiety, writing complexity, fluency, and accuracy, and compares the effectiveness of feedback from human teachers with an AI-driven application called Poe. The study included three intact classes, each with 25 language learners. Using a quasi-experimental design with pretest and posttest measures, one class received feedback from the teacher, one from the Poe application, and the third received no response to their writing. Data were generated though tests and a writing anxiety scale developed for the study. Data analysis, conducted using one-way ANOVA tests, revealed significant effects of teacher and AI-generated feedback on learners’ writing anxiety, accuracy, and fluency. Interestingly, the group that received AI-generated feedback performed better than the group that received teacher feedback or no AI support. Additionally, learners in the AI-generated feedback group experienced a more significant reduction in writing anxiety than their peers. These results highlight the remarkable impact of AI-generated CF on improving writing outcomes and alleviating anxiety in undergraduate language learners at East China University of Political Science and Law . The study demonstrates the benefits of integrating AI applications into language learning contexts, particularly by promoting a supportive environment for students to develop writing skills. Educators, researchers, and developers can use these findings to inform pedagogical practices and technological interventions to optimize the language learning experience in primary school settings. This research highlights the effectiveness of AI-driven applications in language teaching. It highlights the importance of considering learners’ psychological well-being, particularly anxiety levels, when developing effective language learning interventions.

The Effects of Educational Artificial Intelligence-Powered Applications on Teachers’ Perceived Autonomy, Professional Development for Online Teaching, and Digital Burnout

The transformative impact of advancements in educational technology, particularly those powered by artificial intelligence (AI), on the landscape of education and the teaching profession has been substantial. This study explores the repercussions of AI-powered technologies on teachers’ autonomous behavior, digital burnout, and professional development. The study involved a cohort of 320 high school teachers in China segregated into control and experimental groups. The experimental group received instructions on AI-integrated applications and how they might be used in education. However, the teachers assigned to the control group did not receive information on the use of AI educational applications. Three distinct questionnaires probing autonomous behaviors, digital burnout, and online professional development were administered, and the ensuing data were analyzed using independent sample t-tests. The findings elucidate a discernible positive impact of AI-integrated technology intervention on teachers’ professional development and autonomous behaviors. The incorporation of AI-enhanced tools facilitated an augmentation in teachers’ professional growth and bolstered their independent and self-directed instructional practices. Notably, using AI-integrated technology significantly reduced teachers’ susceptibility to digital burnout, signifying a potential alleviation of stressors associated with technology-mediated teaching. This research provides valuable insights into the multifaceted effects of AI-powered technologies on educators, shedding light on enhancing professional competencies and mitigating digital burnout. The implications extend beyond the confines of this study, resonating with the broader discourse on leveraging technology to augment the teaching profession and optimize the learning environment.

A strategic model for attracting and retaining environmentally conscious customers in E-retail

The study offers a thorough investigation on the strategies necessary to attract and retain environmentally conscious customers in the E-Retail market in Southeast Asia. Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) have been deployed to analyze the intricate relationships among the sustainable business practices, consumer engagement strategies, technological interventions for sustainability, integration of a triple bottom line approach, and the balance between sustainability and profitability. Hypotheses testing on the empirical data have revealed that there is no significant relationship between sustainable business practices and attracting and retaining environmentally conscious customers. However, there are positive correlations between consumer engagement strategies, technological interventions for Sustainability, and the integration of triple bottom line approach with client attraction and retention. The work highlights the importance of a thorough sustainability plan, in-line with consumer expectations. Practical consequences emphasize the importance of tailoring marketing efforts, ensuring effective communication, and implementing technological advancements to improve the eco-friendly shopping experience. Difficulty in establishing a balance between sustainability and profitability have been highlighted as a prominent challenge for the e-retailers.

Effects of home-based telemedicine and mHealth interventions on blood pressure in stroke patients: a systematic evaluation and meta-analysis of randomized controlled trials

BackgroundStroke is a common cerebrovascular disease. Elevated blood pressure is the most significant manageable factor for both initial and recurrent strokes. Despite the potential benefits of telemedicine and mobile health technology (mHealth) in managing blood pressure among stroke patients, there remains skepticism. ObjectivesThis systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted to assess the effectiveness of telemedicine and mHealth interventions in managing blood pressure in stroke patients. MethodsWe identified randomized controlled trials (RCTs) evaluating telemedicine and mHealth technology interventions for blood pressure in patients with stroke or transient ischemic attack (TIA) from the inception date of each database up to January 2, 2024 by systematic searches of the PubMed, EMBASE, Web of Science, and Cochrane Library databases. The Cochrane Risk of Bias tool (ROB 2.0) was used to evaluate study quality. Sources of heterogeneity were explored through Meta-regression, subgroup analyses, sensitivity analyses and publication bias assessment. Meta-analysis was performed using R 4.2.2 statistical software. ResultsA total of 13 randomized controlled trials with 3803 participants were included. The meta-analysis found that telemedicine and mHealth improved control of both systolic [MD = -4.37, 95 % CI (-5.50, -3.24), I2 = 43 %, P<0.00001] and diastolic blood pressures [MD = -1.72, 95 % CI (-2.45, -0.98), I2 = 0 %, P<0.00001] in stroke patients compared to the conventional care group. Stroke patients who received telemedicine and mHealth interventions showed improved medication adherence than usual care [SMD=0.52, 95 % CI (0.03, 1.00), I2 = 90 %, P<0.00001]. Meta-regression and subgroup analyses identified several key factors influencing systolic and diastolic blood pressure control in stroke patients, including whether stroke patients have hypertension, the specific forms of telemedicine and mHealth interventions employed, the duration of these interventions, and the frequency of intervention intervals. ConclusionsOverall, telemedicine and mHealth reduced stroke patients' systolic blood pressure by an average of 4.37 mm Hg and diastolic blood pressure by an average of 1.72 mm Hg and improved medication adherence compared with usual care. As an emerging medical model, telemedicine and mHealth intervention create a good prospect for the management of blood pressure in stroke patients in the future.

Characteristics of young people with metabolic syndrome and chronic pain of the musculoskeletal system as a prerequisite for the creation of rehabilitation technology

The article reveals that the most complex medical and social problem of our time is metabolic syndrome and chronic pain of the musculoskeletal system; the level of education, working conditions, and life history of young people with metabolic syndrome and chronic pain of the musculoskeletal system are analyzed. The purpose of the study is to conduct a thorough analysis of the level of education, lifestyle, professional employment, and the presence of chronic diseases in the medical history of young people with metabolic syndrome and chronic pain of the musculoskeletal system before introducing rehabilitation intervention technology. Research methods. Content analysis of medical records and medical documentation and anamnesis was used to obtain data on age, gender, diagnosis confirmation and patient assignment to a group by disorder localization, establishing the presence of concomitant diseases. Result: the main indicators of education level, lifestyle, professional employment, as well as the presence of chronic diseases of young people with metabolic syndrome and chronic pain of the musculoskeletal system before the implementation of the rehabilitation intervention technology were revealed.

Exploration of Eye-Tracking Methodologies in Usability Testing of Digital Health Technology: A Rapid Review.

Eye-tracking is deemed a promising methodology for usability evaluation studies in healthcare, however clear theoretical guidance and practice remains lacking. A rapid review was performed on current use of eye tracking as a usability evaluation method on digital health technologies in the period of 2019 to 2024. Usability evaluation studies were included when they described a digital health technology intervention in which eye-tracking technologies were applied. To gain insight into how eye-tracking technologies contributed to measuring digital health technologies' usability, data was extracted on the use of eye-tracking for usability and key study findings. Seventeen papers were included in the review. Findings show that eye-tracking is frequently combined with other usability evaluation methods, with high methodological diversity, to test the usability of DHT. Future research is needed to enhance understanding of the effectiveness of eye-tracking outcomes in DHT usability testing when combined with other usability evaluation methods in order to provide (usability) researchers theoretical guidance on its application.

Adapting a Patient-Centered Tuberculosis Digital Adherence Technology Intervention for New Patient Populations.

Tuberculosis (TB) intervention adaptation strategies can be optimized to inform digital health intervention refinement. With experience we improved our strategies during the refinement of tools to support individuals with active TB.