Search Results (182)

Increasing spectral bandwidth in 5G networks improves capacity but cannot fully address the heterogeneous and rapidly growing traffic demands. Heterogeneous ultra-dense networks (HUDNs) play a key role in offloading traffic across multi-tier deployments; however, their diverse base-station characteristics and diverse quality-of-service (QoS) requirements make resource allocation highly challenging. Traditional static resource-allocation approaches lack flexibility and often lead to inefficient spectrum utilization in such complex environments. This study aims to develop a joint user association–resource allocation (UA–RA) framework for 5G HUDNs that dynamically adapts to real-time network conditions to improve spectral efficiency and service ratio under high traffic loads. A software-defined networking controller centrally manages the UA–RA process by coordinating inter-cell resource redistribution through the lending of underutilized resource blocks between macro and small cells, mitigating repeated congestion. To further enhance adaptability, a neural network–adaptive resource allocation (NN–ARA) model is trained on UA–RA-driven simulation data to approximate efficient allocation decisions with low computational cost. A real-world evaluation is conducted using the downtown Los Angeles deployment. For performance validation, the proposed NN–ARA approach is compared with two representative baselines from the literature (Bouras et al. and Al-Ali et al.). Results show that NN–ARA achieves up to 20.8% and 11% higher downlink data rates in the macro and small tiers, respectively, and improves spectral efficiency by approximately 20.7% and 11.1%. It additionally reduces the average blocking ratio by up to 55%. These findings demonstrate that NN–ARA provides an adaptive, scalable, and SDN-coordinated solution for efficient spectrum utilization and service continuity in 5G and future 6G HUDNs. Full article

In recent years, the financial sustainability and survival of microfinance institutions (MFIs) have been seriously threatened by factors such as the reduction in donations, cooperation funds and international aid, and increased competition from commercial banks. Faced with this hostile scenario, which may limit access to credit for disadvantaged groups, MFIs must apply techniques to improve their efficiency, viability, lending capacity and survival. The objective of this study is to design a microcredit pricing model based on the Internal Ratings-Based approach, Basel III and probability of default to enhance access to credit for disadvantaged groups. We analysed a sample of 4550 microcredit transactions and 30 influential variables (25 idiosyncratic and 5 systemic). Our empirical results reveal that the IRB system is more equitable for borrowers and more efficient for MFIs, as it allows lower interest rates to be applied to borrowers with better credit histories. The application of the proposed IRB model can improve the sustainability, competitiveness and viability of MFIs by promoting operational efficiency and reducing default rates, thus contributing to financial inclusion by increasing supply. Full article

In a situation where the number of non-performing loans (NPLs) increases, lenders may raise interest rates to compensate for potential losses, and the amount of credit granted in the market may decrease, leading to credit rationing. Such actions may become vital based on their potential consequences for the economy, entrepreneurs and consumers, which makes this topic extremely important. This study, by using an empirical VAR analysis, has strived to determine whether credit rationing by banks operating in the Polish banking sector is driven by risky loans (which are the main determinant of credit rationing and are represented by the ratio of NPLs to total loans). According to the results, it has been found that credit rationing, made by Polish banks, is not statistically significant when the risk in the credit market rises due to non-performing loans. Therefore, it can be claimed that the risky structure due to NPL in the credit market may not be one of the determinant factors of credit rationing in the Polish banking sector. The low sensitivity of the Polish banking sector to the risky structure of the credit market may result from the relatively low share of loans in total assets compared to debt instruments. Furthermore, restrictive lending policies and the predominance of mortgage loans secured directly by real estate limit portfolio risk, which may reduce the need for a risk-sensitive lending strategy. Full article

Objective: Clinical trials are the cornerstone of medical innovation and set the standard for medical care. Cancer clinical trials drive critical innovation and availability of new treatments. However, obstacles to successful recruitment and participation of patients in clinical trials still significantly limit their success. Our objective is to evaluate trial enrollment trends according to both patient and trial demographics/features for those who have sought care at our multi-center, mixed-setting Gynecologic Oncology practice, allowing for us to describe specific trial criteria designs that are negatively associated with diverse enrollment or lack of enrollment completion on cancer clinical trials. Methods: An IRB-approved, retrospective cohort study was completed to evaluate patients who screened positive for a clinical trial through the Gynecologic Oncology practice’s manual screening process. We looked at how trial characteristics affect enrollment success. Results: After adjustment, there were no significant differences between patient factors and enrollment status. Higher rates of enrollment were seen among Asian patients and patients whose race was reported as “unknown” (>50%, p = 0.125). There was a drastic, unadjusted estimated increase in enrollment for Medicaid patients compared to patients with other insurance types (55.2% vs. 32%, p = 0.031), but multivariable logistic regression showed that insurance status (Medicaid vs. others) lost significance, p = 0.148. Patients with Stage I cancer accounted for 42.1% of patients enrolled, and enrollment rates were higher than for other cancer stages (p = 0.087). There was a significant increase in enrollment likelihood if the trial did not exclude subjects with prior cancer (50.0% vs. 33.3%, p = 0.046). Conclusions: We demonstrated equitable trial enrollment across different races and insurance statuses and were able to identify criteria that lend itself towards higher rates of enrollment. These findings can be used to tailor cancer trial portfolios to a diverse patient catchment. Full article

Attention-deficit/hyperactivity disorder (ADHD) is the most common behavioral problem in children. Multiple risk factors, including prenatal substance exposure, have been associated with this disorder. Objectives: We determined (1) the rate of ADHD in children with prenatal cocaine exposure (PCE) as compared to those non-exposed, (2) the association of ADHD with the infant’s sex, race, and birth weight, maternal age and education, and other known risk factors, and factors that may mediate the relationship between these risk factors and ADHD. Methods: This was a secondary analysis of data from the Maternal Lifestyle Study for a long-term follow-up. ADHD was defined as any diagnosis of attention deficit, hyperactivity disorder, or the combination, from the National Institute of Mental Health Diagnostic Interview Schedule for Children (NIMH DISC) administered to children, ages 11 or 14 years. The main exposure variable was PCE. Independent variables included infant and maternal characteristics, caretaker psychopathology, and maternal–child conflict. Mediators evaluated were the child’s impulsivity at 4 years of age and attention problems at 5 years from the Child Behavior Checklist. Results: Path analysis revealed that the effects of risk variables, including PCE, were mediated through the child’s attention problems at age 5 years. Child’s impulsivity, which was significantly associated with attention problems, was also a mediator between PCE and ADHD. Male sex had a direct path to ADHD. Conclusions: Our findings lend support to early screening before 4 years of age in children with PCE or other risk factors for ADHD. Behavioral interventions provided during early childhood may mitigate the later diagnosis or severity of ADHD. Full article

This study investigates the determinants of household borrowing choices in Thailand, with a focus on the risks associated with formal and informal credit markets. Using cross-sectional survey data from 6949 respondents across 77 provinces collected in September 2021, we employ multinomial regression models to analyze how demographic, occupational, and income factors shape debt outcomes. The results indicate that younger and lower-income individuals in Bangkok are more likely to remain debt-free, while older, higher-income, and farming households are strongly associated with formal borrowing. In contrast, unemployed individuals, retirees, business owners, and freelancers disproportionately rely on informal credit channels, exposing them to high interest rates, repayment difficulties, and heightened financial risk. Regional disparities further underscore structural inequalities: households in the north and northeast are more likely to access formal finance, whereas those in Bangkok and the south tend to turn to informal lenders. These findings highlight the risks of financial exclusion and the persistence of informal lending in emerging economies. Policy measures that expand access to regulated credit, promote microfinance, and strengthen consumer protection frameworks are essential to mitigate household financial vulnerability and reduce exposure to debt traps. Full article

In this study, we empirically examine the determinants of fundraising success in Japan’s lending-based crowdfunding (LBCF), with a focus on the financial literacy of investors. Using 465 campaigns on the LBCF platform “Bankers” (December 2020–September 2024), we test two predictions derived from the lack of financial literacy hypothesis: (H1) investors are influenced by peripheral signals; (H2) diagnostic signals are not properly evaluated. Both are rejected. In cross-sectional tests, peripheral cues such as “Perks” are negatively associated with success, and the effects of “Title length” and “Purple highlighted text” observed in simpler models vanish when analyzed jointly. By contrast, diagnostic information is consistently informative: “Domestic campaign” and “Co-investment” are positive, while “Investment term” is negative; “Investment capital” is also negative, contrary to prior expectations. The results are robust to controls for the campaign sector and to alternative specifications (probit; OLS on achievement rate). Overall, investors in Japan’s LBCF appear to rely on diagnostic rather than peripheral signals, indicating financially literate, rational decision-making. Full article

The significant increase in non-performing loans (NPLs) during the escalating recession of the Greek economy motivates us to study the predictive power of credit rating models in periods of economic shocks. In parallel, we examined the responsibilities of bank management in the expansion of NPLs in this adverse environment. Certain studies connect bad loans with turbulent conditions. Our paper weighs the relative significance of both economic shock and management effectiveness using data at an individual level, which provides the originality of our study. We use a unique dataset of small business loans that were granted during 2005 (expansion period) by a large commercial Greek bank, and we explore their performance between 2010 and 2012 (early recession period). In the context of a stepwise methodology, we compare the Bank’s credit scoring model with three other prediction models (binomial logistic regression, decision tree, and multilayer perceptron neural network) to check both the predictive ability of credit scoring models during recession and the effectiveness of bank management. The comparative analysis confirms the management’s responsibilities in granting NPLs, since the Bank’s model exhibited the worst predictive performance. Additionally, we find that adverse external conditions lead to an increase in NPLs and decrease the predictive performance of all credit scoring models. The study offers a reliable methodological tool for lending management in economic downturns. Full article

This study examines the dynamic interplay between interest rates, inflation, and GDP growth in Southeast Asian economies from 2000 to 2023, employing the Panel ARDL framework with the Pooled Mean Group (PMG) model. The findings confirm a robust long-term relationship among the Deposit Interest Rate (DIR), Lending Interest Rate (LIR), Consumer Price Index (CPI), and GDP growth. Higher deposit rates consistently promote economic expansion by encouraging savings and investment, while lending rates support long-term growth but limit short-term activity due to higher borrowing costs. Inflation adversely affects long-term growth by reducing purchasing power but boosts short-term demand. Historical GDP trends highlight the region’s susceptibility to global shocks, such as the 2008–2010 financial crisis and the 2020 COVID-19 pandemic, with forecasts indicating a gradual recovery from 2021 to 2025. The study emphasizes the importance of balanced monetary policies to enhance growth and stability in Southeast Asia, providing practical insights for policymakers addressing global and regional economic challenges. Full article

Small and Medium Enterprises (SMEs) are vital to economic growth, innovation, and job creation across Sub-Saharan Africa (SSA). Women entrepreneurs are key contributors to this sector, yet they face persistent barriers to accessing finance, which constrain their business growth and broader economic participation. This study investigates the role of financial institutions in closing the financing gap for women-owned SMEs and assesses the effectiveness of various financing mechanisms, including traditional banking, micro-finance, fintech innovations, and government-backed credit schemes. Adopting a quantitative approach, this study utilises structured surveys with women SME owners across multiple SSA countries. Supplementary secondary data from sources such as the World Bank and national financial statistics provide additional context. Econometric modelling and Structural Equation Modelling (SEM) are employed to identify key factors influencing loan accessibility, such as collateral requirements, interest rates, financial literacy, and the regulatory environment. Findings reveal that high collateral demands and interest rates remain major obstacles, particularly for smaller or informal women-led enterprises. Financial literacy emerges as a critical enabler of access to credit. While fintech solutions and digital lending platforms show promise in improving access, issues around infrastructure, regulation, and trust persist. Government-backed schemes also contribute positively but are hindered by implementation inefficiencies. This study offers practical recommendations, including the need for harmonised regional credit reporting systems, gender-responsive policy frameworks, and targeted financial education. Strengthening digital infrastructure and regulatory support across SSA is essential to build inclusive, sustainable financial ecosystems that empower women entrepreneurs and drive regional development. Full article

Background: Dystonic cerebral palsy (DCP) is a complex, disabling manifestation of secondary dystonia, which significantly impacts motor function, quality of life, and well-being. Conventional pharmacologic therapies frequently do not relieve symptoms sufficiently. Deep brain stimulation (DBS) of the globus pallidus internal segment (GPi) has gained increasing attention as a neuromodulatory therapy for refractory dystonia. Still, the experience of the effect of GPi DBS treatment in adults with DCP has, until recently, been limited. Methods: We performed a retrospective, two-center case series of 11 adult patients with medically refractory DCP who underwent bilateral GPi-DBS. The clinical outcomes were evaluated based on the Burke–Fahn–Marsden Dystonia Rating Scale (BFMDRS), the Functional Independence Measure (FIM), the Gross Motor Function Classification System (GMFCS), and the Caregiver Burden Scale (CBS). The assessments were done preoperatively and at 1-year follow-up. Changes in continuous variables were analyzed using paired t-tests. Results: At the 1-year follow-up, the mean BFMDRS score improved from 69.6 ± 27.6 to 54.3 ± 36.5 (p = 0.001), indicating a significant reduction in overall dystonia severity. Functional independence also improved, demonstrated by the rise in FIM scores from 65.3 ± 33.9 to 79.2 ± 43.4 (p = 0.006). Although GMFCS levels did not change in most patients (p = 0.125), the burden on caregivers decreased significantly, with CBS scores falling from 35.7 ± 18.8 to 32.0 ± 17.1 (p = 0.015). There were no surgical complications. Conclusions: In adults, bilateral GPi-DBS is a safe and effective intervention for DCP, improving motor control and increasing functional independence while decreasing caregiver burden. These findings lend support to its role in the multidisciplinary management of DCP. Full article

Background: Community-acquired bacterial pneumonia (CABP) is a common and costly cause of hospitalization. Although severe CABP (sCABP) occurs in 10–25% of all pneumonia hospitalizations, little generalizable data examine its characteristics and outcomes or hospital resource utilization. Methods: We conducted a retrospective single-group cohort study of adults within the IQVIA hospital Charge Data Master, 2018–2022. We identified CABP via an ICD-10 code algorithm and sCABP was defined as an episode requiring ICU care. We examined baseline characteristics and outcomes, including mortality, costs, and readmission rates. We developed models to identify risk factors associated with readmissions. Results: Among 24,149 patients with sCABP, 14,266 (58.4%) were ≥65 years old and 55.2% were male. The majority were hospitalized in large (300+ beds, 50.9%), urban (91.9%) teaching (62.7%) institutions in the US Southern region (52.3%). The mean (SD) Charlson Comorbidity Index was 1.35 (2.33). The most common comorbidities were hypertension (16.7%), diabetes mellitus (15.7%), and chronic obstructive pulmonary disease (COPD) (12.9%). Hospital mortality was 15.9%. The mean (SD) hospital length of stay (LOS) and costs were 13.6 (12.1) and USD 91,965 (USD 133,734), respectively. An amount of 20% required a readmission within 30 days. Readmission was most strongly associated with older age and the presence of select comorbidities (diabetes mellitus, congestive heart failure, and COPD), each with an odds ratio > 1.4 and 95% confidence intervals excluding 1.0. Conclusions: Patients with sCABP comprise a large population with high mortality and 30-day readmissions. The intrinsic factors related to the latter lend themselves to early recognition and aggressive efforts at reducing complications. Full article

This study investigates the dynamic relationships between climate change and financial stability in South Africa by employing a Bayesian vector autoregression model (BVAR). Using data from 1991 to 2022, we examine the impact of carbon emissions, adjusted savings, renewable energy consumption, lending interest rates, and unemployment on financial stability. Our findings indicate that carbon emissions, adjusted savings damaged by carbon dioxide emissions, renewable energy consumption, and unemployment significantly erode financial stability. Impulse response functions reveal that shocks to carbon emissions, lending interest rates, and unemployment have lasting effects on financial stability. Forecast error variance decomposition analysis shows that external factors, particularly carbon emissions and lending interest rates, increasingly drive uncertainty in forecasting financial stability over time. The study’s results support the Financial Instability Hypothesis and the Diamond–Dybvig model, highlighting the importance of considering climate-related risks in financial stability analysis. The findings have significant implications for policymakers and financial regulators seeking to promote financial stability and mitigate climate-related risks in South Africa. Full article

Background/Objectives: Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent condition etiologically related to suboptimal levels of dopamine (DA) and norepinephrine (NE) that is typically treated with psychostimulant medication. In individuals with ADHD, divergent thinking abilities have been shown to improve with the use of psychostimulants. Furthermore, psychostimulants affect autonomic nervous system (ANS) functioning, which can impact creative cognition. However, it is not known how DA and NE affect creative cognition in this setting and how this effect is related to autonomic activity in ADHD. Therefore, our objective was to elucidate ANS function and its relationship with divergent creativity gains related to psychostimulant treatment in ADHD. Method: Seventeen individuals diagnosed with ADHD (age 27.9 ± 6.7 sd) participated in two counterbalanced sessions—one while on their prescribed stimulant medication and another after abstaining for at least 24 h. During each session, participants completed convergent (anagrams) and divergent (Torrance Test of Creative Thinking) thinking tasks. An 8 min electrocardiogram prior to cognitive testing was taken to measure heart rate variability (HRV), which is an index of ANS functioning. Results: The hypothesized baseline pNN50 HRV measure was not predictive of enhanced creativity gains on convergent anagrams or divergent creativity on the Torrance when taking stimulants. Conclusions: In this pilot study, the relationship between baseline HRV and the impact of stimulants on anagram performance suggests the noradrenergic system may not play a role in the effect of stimulants on convergent or divergent creativity. The lack of a relationship between baseline HRV and stimulant-related changes in TTCT and anagram scores lends some support to the hypothesis that dopaminergic effects may be the predominant factor in the effect of stimulants on creativity in ADHD. Future research should further investigate the interaction between hypoactive neurotransmitter systems, particularly dopamine in divergent and norepinephrine in convergent creativity, using neuroimaging techniques to assess neurotransmitter dynamics during creativity-based tasks. Full article

This paper examines the regional dimension of monetary policy transmission through the component of the bank lending channel in Indonesia. Understanding the effectiveness of this transmission channel at a regional level is crucial, given the diverse economic characteristics across Indonesian provinces. We employ panel regression to analyze the panel data consisting of provincial quarterly data from 2010–2023 for 33 provinces in Indonesia. The robustness of the results is further assessed through GMM estimation techniques. We find evidence of the bank lending channel through the use of the policy rate. Our findings are meaningful in the SME and consumer lending channel and are also more profound in Java than in the non-Java region. Further, using GMM estimation, we show that our results are robust. Our study highlights the significant role of regional differences in Indonesia when examining monetary policy effectiveness. Policymakers should therefore consider regional disparities and lending categories to enhance the efficacy of monetary policy interventions. Full article