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This article explored the mediating and moderating factors of financial technology (FinTech) adoption for small and medium enterprises (SMEs) innovations. A systematic literature review (SLR) was performed as a study method. The current research involved an in-depth evaluation of 96 articles published in English between 2000 and 2023. The methods were developed from meta-analysis and SLR's indicated reporting items. The articles were collected by carrying out keyword searches on the Scopus-indexed database. The study identified the research gaps in understanding mediating and moderating factors of FinTech adoption for innovation in SMEs. Previous studies, through SLR, have identified a limited mediator or moderator role between FinTech adoption and innovation in SMEs. Due to the limited exploration of mediator or moderator variables, this research offers novel directions for future research about the various FinTech's mediation and/or moderating role for innovation in SMEs. The outlined moderators and mediators in this study are found by combining both intuitive insights and analytical methods. In addition, the study findings will aid SME business owners, professionals, and practitioners to understand how mediating and moderating factors lead to FinTech adoption for innovation in their businesses. Overall, this research has the potential to drive significant positive change in the SME sector by enhancing their ability to innovate and thrive in a digital-first economy, thereby contributing to broader economic growth and development.

Middle-Income Trap (MIT) is a phenomenon wherein a nation finds itself unable to progress from a middle-income status to a high-income economy. Despite Bangladesh's rapid economic growth as a developing economy following its transition to the lower-middle-income category, the country faces various economic challenges that may impede its advancement to higher-income tiers. Consequently, this study delves into whether Bangladesh can successfully navigate its way out of the lower-middle-income and upper-middle-income traps. To assess this, the study initially employed a time threshold method known as the \"Number of Years Method.\" It determined that Bangladesh is poised to break free from the lower-middle-income and upper-middle-income traps by 2029 and 2041, provided the nation can sustain a per capita Gross National Income (GNI) growth rate of 9.69%. To further evaluate the sustainability of this income growth, the study utilized three quantitative approaches: Catch-up Growth, Growth Report, and Growth Acceleration. Interestingly, these methods yielded contrasting results. The insights generated by this study hold significance for economists and policymakers in Bangladesh and other developing economies facing similar challenges. These findings enable them to assess the likelihood of becoming ensnared in the middle-income trap and, as a result, formulate appropriate strategies to overcome it.

The major focus of this article is on whether daily expenditures increase during a lockdown covid-19 pandemic. The major idea of this research is to show how Covid-19 influences our daily lives through increasing spending. Convenient sampling techniques have used for selecting sample and area (Sector 10 Uttara Dhaka). With the constructed questionnaire, researchers ran a study to better understand people's perceptions of their everyday spending. The questionnaire was conducted during the lockdown period of COVID-19 when all participants were self-isolated at home. There are two types of variables that researchers work with. The questionnaire has created using a combination of Yes/No and Likert scale questions. The result has analyzed using SPSS software. The result has shown that if our daily spending increases or decreases under a lockdown. This study concludes with some potential solutions for managing daily expenditures as well as provided ideas of potential government actions.

The enterprise resource planning (ERP) system can integrate the major business management functions of the enterprise with a single common database to allow sharing of all information and achieve efficient communications between management functions. Based on the needs of running a construction enterprise, ERP shows potential applicability to the construction industry. This paper sought to quantify the benefits of ERP systems when applied to construction materials procurement. Specifically, this paper briefly described the business processes involved in construction materials procurement and illustrated how ERP systems could be implemented and the efficiency of the construction materials management system consequently enhanced. The transformation from a non-ERP system into an ERP system through application integration, internal integration, external integration, and automation were simulated. Results show that the individual task improvements of models can increase the productivity of the materials management cycle by up to 5.2%, 18.2%, 27.8%, 13.5%, and 79.2% through internal integration, external integration, application integration, automation, and ERP system, respectively, by automating most of the repeated transactions and reducing manpower required to perform the tasks.Key words: enterprise resource planning, materials management system, productivity, simulation.

A power source modified to increase voltage delivery and minimise arcing (for a given energy) was used for transvenous ablation of atrioventricular conduction to control refractory supraventricular arrhythmias in 14 patients. Twelve had atrial fibrillation or flutter, one had atrioventricular nodal reentry tachycardia, and the other had permanent junctional reentry tachycardia. Despite treatment with 5-7 (median 6) antiarrhythmic drugs symptoms had persisted in all the patients. Cathodal discharges of 0.5-39.5 J were delivered to the distal electrode (in one case in parallel with the middle electrode). In all patients shocks produced complete atrioventricular block; this was permanent in eleven (79%). Four patients required a second procedure. In one patient, only a transient atrioventricular block could be produced and catheter ablation with a conventional power source also failed. In the other two atrioventricular conduction was modified such that previously ineffective treatment produced satisfactory control of heart rate. The cumulative energy delivered to those in whom permanent complete heart block resulted ranged from 3.6 to 97.8 (mean 38.3) J with a mean of three shocks (range 1-7) delivered per patient. During follow up of 1-28 (mean 14) months 11 patients remained in complete heart block and free of arrhythmia.

Software-Defined Networking (SDN) is another technology that has been developing in the last few years as a relevant technique to improve network programmability and administration. Nonetheless, its centralized design presents a major security issue, which requires effective intrusion detection systems. The SDN-specific machine learning-based intrusion detection system described in this paper is innovative because it is trained and tested on the InSDN dataset which models attack scenarios and realistic traffic patterns in SDN. Our approach incorporates a comprehensive preprocessing pipeline, feature selection via Mutual Information, and a novel ensemble learning model, SDNGuardStack, which combines multiple base learners to enhance detection accuracy and efficiency. In addition, we include explainable AI methods, including SHAP to add transparency to model predictions, which helps security analysts respond to incidents. The experiments prove that SDNGuard-Stack has an accuracy rate of 99.98% and a Cohen Kappa of 0.9998, surpassing other models, and at the same time being interpretable and practically executable. It is interesting to see such features like Flow ID, Bwd Header Len, and Src Port as the most important factors in the model predictions. The work is a step towards closing the gap between performance intrusion detection and realistic deployment in SDN, which will lead to the creation of secure and resilient network infrastructures.

OBJECTIVE: To assess whether catheter ablation of fascicular tachycardia can be facilitated by the recording of sharp deflections arising from the mid-septum---inferior apical septum of the left ventricle. PATIENTS AND METHODS: Seven consecutive patients (mean age 29 (range 16-43) years) with ventricular tachycardia originating from the left posterior fascicle underwent electrophysiology study and detailed mapping of endocardial activation. Selection of ablation sites in the last five patients was based on the recording, during left posterior fascicular tachycardia and sinus rhythm, of a discrete potential preceding the earliest ventricular electrogram, which was thought to represent conduction through the posterior fascicle. RESULTS: Patients were treated with low energy direct current or radiofrequency current ablation. The median fluoroscopy and procedure times were 23 (range 6-42) min and 110 (range 50-176) min, respectively. In a follow up period of 4 to 16 months, six patients were asymptomatic and one had minor symptoms. No patient had any change in intraventricular conduction. Similar potentials were also recorded from the left posterobasal septum in three of eight patients who underwent catheter ablation of left free wall accessory pathways. CONCLUSION: Fascicular potentials can be reproducibly recorded in left posterior fascicular tachycardia and may serve as a reliable marker for successful ablation procedures. The relation of these potentials with the substrate of the tachycardia, however, remains obscure.

Printing technology promises a viable solution for the low-cost, rapid, flexible, and mass fabrication of biosensors. Among the vast number of printing techniques, screen printing and inkjet printing have been widely adopted for the fabrication of biosensors. Screen printing provides ease of operation and rapid processing; however, it is bound by the effects of viscous inks, high material waste, and the requirement for masks, to name a few. Inkjet printing, on the other hand, is well suited for mass fabrication that takes advantage of computer-aided design software for pattern modifications. Furthermore, being drop-on-demand, it prevents precious material waste and offers high-resolution patterning. To exploit the features of inkjet printing technology, scientists have been keen to use it for the development of biosensors since 1988. A vast number of fully and partially inkjet-printed biosensors have been developed ever since. This study presents a short introduction on the printing technology used for biosensor fabrication in general, and a brief review of the recent reports related to virus, enzymatic, and non-enzymatic biosensor fabrication, via inkjet printing technology in particular.