Search Results (315)

This paper proposes an optimized control filter (OCF) based on the Filtered-x Least Mean Square (FxLMS) algorithm for multi-channel active noise control (ANC) systems. The proposed OCF-McFxLMS algorithm delivers three key contributions. Firstly, even in difficult noise situations such as White Gaussian, Brownian, and pink noise, it greatly reduces error, reaching nearly zero mean squared error (MSE) values across all Microphone (Mic) channels. Secondly, it improves computational efficiency by drastically reducing execution time from 58.17 s in the standard McFxLMS algorithm to just 0.0436 s under White Gaussian noise, enabling real-time noise control without compromising accuracy. Finally, the OCF-McFxLMS demonstrates robust noise attenuation, achieving signal-to-noise ratio (SNR) values of 137.41 dB under White Gaussian noise and over 100 dB for Brownian and pink noise, consistently outperforming traditional approaches. These contributions collectively establish the OCF-McFxLMS algorithm as an efficient and effective solution for real-time ANC systems, delivering superior noise reduction and computational speed performance across diverse noise environments. Full article

Nonlinear narrowband low-frequency noise generated during tractors’ operation significantly affects operators’ comfort and working efficiency. Traditional linear active noise control algorithms often struggle to effectively suppress such complex acoustic disturbances. To address this challenge, this paper proposes a momentum-enhanced Volterra filter-based active noise control (ANC) algorithm that improves both the modeling capability of nonlinear acoustic paths and the convergence performance of the system. The proposed approach integrates the nonlinear representation power of the Volterra filter with a momentum optimization mechanism to enhance convergence speed while maintaining robust steady-state accuracy. Simulations are conducted under second- and third-order nonlinear primary paths, followed by performance validation using multi-tone signals and real in-cabin tractor noise recordings. The results demonstrate that the proposed algorithm achieves superior performance, reducing the NMSE to approximately −35 dB and attenuating residual noise energy by 3–5 dB in the 200–800 Hz range, compared to FXLMS and VFXLMS algorithms. The findings highlight the algorithm’s potential for practical implementation in nonlinear and narrowband active noise control scenarios within complex mechanical environments. Full article

Background: The International Frontal Sinus Anatomy Classification (IFAC) is a consensus created to simplify the classification of cells affecting frontal sinus drainage. Our study aims to determine the prevalence of the frontal cell variants using the IFAC and to identify their association with the development of FS in the Korean population. Methods: A total of 1060 computed tomography scans of paranasal sinuses (PNS CT) were reviewed. Patient demographics were recorded, and the presentation of types of IFAC cells and presence of frontal sinusitis (FS) were documented. Results: The mean age of the subjects’ scans is 49.8 ± 17, ranging from 16 to 94 years old. The frequency of cells presents from most common to least common are agger nasi cells (ANCs) at 97.1%, suprabullar cells (SBCs) at 73.8%, supraagger cells (SACs) at 38.1%, supraorbital ethmoid cells (SOECs) at 23.3%, frontal septal cells (FSCs) at 19.2%, suprabullar frontal cells (SBFCs) at 16.3% and supraagger frontal cells (SAFCs) at 10.1%. A total of 183 (17.7%) frontal sinuses had an infection, of which the majority were male 67.2%. The presence of SAFCs and/or SBFCs is significantly associated with the development of FS with OR_SAFC = 1.646 and OR_SBFC = 4.483, respectively. Conclusion: The presence of SAFCs and SBFCs statistically increased the probability of developing FS. Full article

Magnetocardiography (MCG) provides a non-invasive, contactless technique for evaluating the magnetic fields generated by cardiac electrical activity, offering unique spatial insights into cardiac electrophysiology. However, conventional MCG systems depend on superconducting quantum interference devices that require cryogenic cooling and magnetic shielded environments, posing considerable impediments to widespread clinical adoption. In this study, we present a novel MCG system utilizing a high-sensitivity, wide-dynamic-range magnetoresistive sensor array operating at room temperature. To mitigate environmental interference, identical sensors were deployed as reference channels, enabling adaptive noise cancellation (ANC) without the need for traditional magnetic shielding. MCG recordings were obtained from 40 healthy participants, with signals processed using ANC, R-peak-synchronized averaging, and Bayesian spatial signal separation. This approach enabled the reliable detection of key cardiac components, including P, QRS, and T waves, from the unshielded MCG recordings. Our findings underscore the feasibility of a cost-effective, portable MCG system suitable for clinical settings, presenting new opportunities for noninvasive cardiac diagnostics and monitoring. Full article

Background/Objectives: Children with cancer suffer due to the underlying disease and prescribed cancer-directed therapies, and non-pharmacologic modalities may offer improved symptom control without additional medications. We sought to elicit knowledge, attitudes, and beliefs of Pediatric Hematology Oncology (PHO) providers surrounding the incorporation of acupuncture for symptom management for their patients. Methods: A cross-sectional survey instrument was created, formatted, and delivered to physicians and advanced practice providers (APPs) at a single US pediatric cancer center. Survey responses were summarized by descriptive statistics. Results: A total of 78 PHO clinicians participated (response rate 29%). Most participants were interested in learning more about acupuncture (n = 42, 56.0%), yet rarely (n = 17, 22.7%) or never (n = 46, 61.3%) recommend acupuncture to patients. Most (n = 51, 73.9%) noted that they would support institutional development of an acupuncture program. Over half (n = 37, 52.2%) indicated their threshold for minimum hematologic indices for acupuncture includes a platelet count greater than 20,000 and absolute neutrophil count (ANC) greater than 500 (n = 37, 54.4%). Approximately two-thirds (n = 52, 66.7%) of participants noted that acupuncture could improve their patient’s quality of life, and most (n = 46, 67.6%) were not worried about harm. Conclusions: Acupuncture for symptom management is an evidenced-based, guideline-concordant recommendation for adults with cancer, but robust data in the pediatric oncology population are lacking. PHO providers do not routinely recommend acupuncture for patients but note that it may improve quality of life. Given their high symptom burden, rigorous studies of non-pharmacologic strategies for pediatric symptom management are vital. Acupuncture should be examined as a potential beneficial adjunct. Full article

Background: Chronic lymphocytic leukemia (CLL) is a prevalent hematologic malignancy that predominantly affects elderly individuals, posing significant clinical challenges due to patient comorbidities and inherent resistance to conventional chemotherapy. The emergence of targeted therapies combining venetoclax, a selective inhibitor of the anti-apoptotic protein BCL-2, with anti-CD20 monoclonal antibodies has dramatically transformed the treatment landscape. Methods: This retrospective observational study analyzed the differential impacts of first-line venetoclax-obinutuzumab (VenO) and second-line venetoclax-rituximab (VenR) on immunoglobulin G (IgG) levels and absolute neutrophil count (ANC) in CLL patients. Results: Our findings indicate that during first-line VenO therapy, a significant improvement in ANC levels from baseline was observed, whereas patients undergoing second-line VenR therapy demonstrated limited impact on ANC and the decreasing tendency in IgG levels. Patients treated with VenR had a longer disease history and previous exposure to other treatment regimens, primarily chemoimmunotherapy, which could negatively influence immune recovery, making direct comparisons between these two treatment lines challenging. Although this observational study did not directly compare infection rates, the observed enhancement of ANC levels in patients receiving VenO suggests a potential for lower infection risk compared to pretreated VenR patients. Conclusions: These results underscore the clinical significance of considering both the treatment line and the patient’s prior therapeutic history when selecting venetoclax-based regimens for CLL. The potential association of first-line VenO with improved immunological parameters and the complex impact of prior therapies on immunological recovery with second-line VenR warrant further prospective investigation into the correlation between treatment regimen, patient history, immune function, and infectious complications. Full article

Background/Objectives: The under-five mortality rate (U5MR) remains a serious health challenge in Indonesia, with low birth weight (LBW) being a key risk factor. This study aimed to identify predictors of survival among under-five children with LBW using data from the 2017 Indonesia Demographic and Health Survey (IDHS). Methods: This cross-sectional study included 625 children under five with LBW. The dependent variable was under-five mortality (children aged 0–59 months), while the independent variables include child (gender), maternal (age at delivery, education, empowerment, delivery complications, and breastfeeding history), health service (antenatal care-ANC and place of delivery), and household (wealth quintile and residence) factors. Data were obtained from the 2017 IDHS using household and women’s questionnaires and analyzed using univariate analysis, Kaplan–Meier estimation, and Cox regression. Results: 41 of 625 children born with LBW died before the age of five. The Kaplan–Meier estimation found that maternal (delivery complications and breastfeeding history), health service (ANC history and place of delivery), and household factors (residence) significantly influenced the survival of LBW children. The Cox regression results showed that LBW children who were breastfeed and whose mother had adequate antenatal care visits had a lower risk of under-five mortality. Surprisingly, children born in health facilities had a significantly higher risk of death compared to those born elsewhere. Conclusions: Exclusive breastfeeding, adequate antenatal care, and place of delivery are important determinants of survival among children born with LBW. This support targeted interventions to improve the survival chances of children born with LBW, particularly in their early years of life. Full article

Background: Hypertensive disorders of pregnancy (HDPs) are a major cause of maternal morbidity and mortality worldwide. Very little progress has been made in reducing HDP-related maternal deaths in low- and middle-income countries (LMICs), including South Africa, over the past decade. Aim: The aim of this study was to describe maternal deaths arising from HDPs at tertiary/quaternary hospital in Johannesburg, South Africa, with specific focus on maternal characteristics, management, timing of death, causes, and avoidable factors and to use the information to inform clinical practice. Methods: We conducted a retrospective review of patient clinical records covering the period 1 January 2015 to 31 December 2018. Data on maternal demographic and pregnancy characteristics, management, causes, and timing of death were extracted from the clinical records and transferred into a Microsoft Excel^® Spreadsheet and analysed using descriptive statistics. Results: During the study period, 70 maternal deaths were recorded, of which 23 (32.8%) were due to HDP-related complications. The majority of the maternal deaths, 20 (86.9%), occurred during the postpartum period, predominantly affecting Black African women, 23 (100%), with a median age of 27 years. Notably, 18 (78.2%) of the deceased had booked early and attended antenatal care (ANC). Eclampsia emerged as the most common final cause of death. Key avoidable factors included non-adherence to established protocols, particularly failure to initiate aspirin prophylaxis in at-risk women, as well as incorrect or inadequate administration of antihypertensive therapy and magnesium sulphate (MgSO₄) prophylaxis. Conclusions: HDP-related maternal deaths are largely preventable. They primarily result from poor quality of care due to a lack of adherence to evidence-based protocol. Full article

Background: Adherence to iron supplementation is influenced by systemic barriers, including poor healthcare infrastructure, shortage of healthcare providers, and limited access to antenatal care (ANC) services. These challenges are more pronounced in rural areas. However, evidence on urban–rural disparities in non-adherence to iron supplementation remains limited, particularly in sub-Saharan Africa. This study examined these regional differences, stratified by income levels and national contexts. Method: This analysis utilised Demographic Health Survey (DHS) data conducted between 2015 and 2023 from 26 sub-Saharan African countries, including 287,642 women from urban (n = 91,566) and rural areas (n = 196,076). The outcome of this study was non-adherence to iron supplementation, defined as taking iron supplementation for less than 90 days during pregnancy. This study examines urban–rural differences in non-adherence stratified by country income levels based on World Bank 2022 income classifications and national context. A chi-square test was used to assess urban–rural differences, with a p-value of <0.05 considered statistically significant. Results: Non-adherence was significantly higher in rural areas (68.42%) than in urban areas (51.32%) (p < 0.001), with the disparity more pronounced in low-income countries (LICs). Ethiopia, Madagascar, Uganda, and Burundi were among the countries with the highest rural non-adherence, reflecting severe poverty and limited access to ANC. In contrast, Zimbabwe showed an inverse trend, where rural adherence was higher than urban. Conclusions: Rural sub-Saharan Africa has significantly higher non-adherence to iron supplementation, particularly in LICs, likely driven by systemic barriers such as poor infrastructure and limited access to healthcare. This non-adherence in rural areas undermines efforts to improve pregnancy and birth outcomes across the region. Targeted interventions, like those in Zimbabwe, can help address these inequities and improve maternal health outcomes. Full article

Soil acidification is a significant threat to agricultural sustainability, particularly in paddy fields, where acidic conditions can limit crop productivity and soil health. This study aimed to explore the combined effects of alkaline amendments—lime, magnesia, and silicon fertilizer—on the acid-neutralizing capacity (ANC) of paddy soils and the rice yield, with the objective of identifying effective strategies to mitigate soil acidification and enhance agricultural productivity. From 2018 to 2021, a four-year field trial in Hunan tested lime, magnesia, and silicon fertilizers. Soil samples (0–20 cm depth) were collected once post-harvest in 2021 to evaluate the cumulative treatment effects. After four years, the control soil pH was 6.12. Lime and light magnesia treatment increased it to 6.70 and 6.99, respectively. Silicon fertilizer showed no significant difference (pH 6.05). ANC analysis revealed the following anti-acidification capacity ranking: light magnesia > lime > control > silicon fertilizer. Light magnesia boosted the rice yield by 13.02% over the control. Statistical analyses indicated a significant positive correlation between the soil acid-neutralizing capacity and pH (ANC4.0 = 7.53 × pH − 30.00, R²adj = 0.70; ANC5.0 = 6.96 × pH − 37.49, R²adj = 0.58). The rice yield was correlated with exchangeable magnesium (yield = 0.42 × Ex-Mg + 24.54, R²adj = 0.44). The continuous application of lime and light magnesia enhanced the nutrient availability and soil anti-acidification, with light magnesia also improving the rice yield. These findings provide insights to aid in enhancing soil quality and agricultural productivity in acid-affected regions. Full article

This paper presents an optimized twin-tower model for text retrieval that addresses limitations in traditional models through improved feature interaction and loss function design. We introduce an early interaction layer using cross-attention mechanisms and a ranking-optimized loss function. These innovations enable earlier feature interactions between queries and documents, enhance semantic relationship understanding, and optimize relative similarity rankings while reducing overfitting risk. Our experiments on NQ, TQA, and WQ datasets show substantial Top-K accuracy improvements over benchmark models like BM25, DPR, ANCE, and ColBERT. For example, our model achieves a 20.3% relative improvement in Top-20 accuracy on NQ compared to BM25, with only 17 ms retrieval latency. Ablation studies confirm the effectiveness of our improvements. This research demonstrates that enhancing feature interaction and optimizing loss functions significantly improves twin-tower model performance, providing valuable methodological insights for efficient semantic retrieval while maintaining computational efficiency. Full article

Active noise control (ANC) represents an efficient technology for enhancing the noise suppression performance and ensuring the stable operation of multi-sensor systems through generative model-enhanced data representation and dynamic information fusion across heterogeneous sensors due to the complexity of the real-world environment. To address problems caused by a nonlinear noise source, a novel adaptive neuro-fuzzy network controller is proposed for feedforward nonlinear ANC systems based on a variable step-size filtered-x least-mean-square (VSS-LMS) algorithm. Specifically, the LMS algorithm is first introduced to update the weight parameters of the controller based on the adaptive neuro-fuzzy network. Then, a variable step-size adjustment strategy is proposed to calculate the learning gain used in the LMS algorithm, which aims to improve the nonlinear noise suppression performance. Additionally, the stability of the proposed method is proven by the discrete Lyapunov theorem. Extensive simulation experiments show that the proposed method surpasses the mainstream ANC methods with regard to nonlinear noise. Full article

Human angiotensin-I-converting enzyme (ACE) is involved in vasoregulation, inflammation, and neurodegenerative disorders. The enzyme is formed of two domains; the C-domain (cACE) is primarily involved in blood pressure regulation, whereas the N-domain (nACE) is strongly linked to fibrosis; hence, designing domain-specific inhibitors could make a difference between treating one condition without having a negative effect on another. AnCE (a close homologue of ACE) is derived from Drosophila melanogaster and has a high similarity specifically to cACE. Due to high similarity and ease of crystallisation, AnCE has been chosen as a model protein for ACE studies and for the design of ACE inhibitors. In this study, enzyme kinetic assays and X-ray crystallography techniques revealed the significance of using dipeptides as selective inhibitors for AnCE and how this knowledge could be applied to cACE and nACE. All the dipeptides tested in this study were shown to bind AnCE in two distinct locations, i.e., the non-prime and prime subsites. It was found that a hydrophobic residue at the S1 and S1′ subsites, with a tryptophan at the S2 and S2′ subsites, showed highest affinity towards AnCE. It was also observed that a key pocket within the S2′ subsite had a major influence on the binding orientation within the prime subsites and could potentially explain ACE’s dipeptidyl carboxypeptidase activity. Importantly these dipeptides are found in functional foods, making them potentially available from diets. Knowledge of the dipeptide binding presented here could aid in the development of ACE domain-specific inhibitors. Full article

This paper presents a comprehensive evaluation using a Z-test to assess the effectiveness of an adaptive Least Mean Squares (LMS) filter driven by the Steepest Descent Method (SDM). The study utilizes a male voice recording, captured in a controlled studio environment, to which persistent Gaussian noise was intentionally introduced, simulating real-world interference. All signal processing methods were implemented accordingly in MATLAB.version: 9.13.0 (R2022b), Natick, MA, USA: The MathWorks Inc.; 2022. The adaptive filter demonstrated a significant improvement of 20 dB in Signal-to-Noise Ratio (SNR) following the initial optimization of the filter parameter $\mu$. To further assess the LMS filter’s performance, an empirical experiment was conducted with 30 young adults, aged between 20 and 30 years, who were tasked with qualitatively distinguishing between the clean and noise-corrupted signals (blind test). The quantitative analysis and statistical evaluation of the participants’ responses revealed that a significant majority, specifically 80%, were able to reliably identify the noise-affected and filtered signals. This outcome highlights the LMS filter’s potential—despite the slow convergence of the SDM—for enhancing signal clarity in noise-contaminated environments, thus validating its practical application in speech processing and noise reduction. Full article

Objective: This study aimed to provide pooled predictors of ANC (antenatal care) service use among women of reproductive age in Ethiopia. Methods: Studies were systematically searched using PubMed, Medline, CINAHL, EMBASE, and Google Scholar. The Newcastle–Ottawa scale (NOS) tool was utilized for quality assessment (risk of bias). All data analyses were conducted by utilizing Stata version 17. A random-effects model was used to obtain the pooled predictors of ANC use. The publication bias was checked using a funnel plot and Egger’s regression test. Results: Twenty-two studies with a sample size of 25,671 were included in this review. The identified predictors of ANC service use were highest wealth rank (AOR 1.92 [95% CI: 1.53–2.31]), formal women education (AOR 2.40 [95% CI: 1.75–3.06]), formal husband education (AOR 1.49 [95% CI: 1.36–1.66]), women age ≥ 20 (AOR 1.75 [95% CI: 1.47–2.17]), mass media exposure (AOR 1.44 [95% CI: 1.21–1.66]), good maternal knowledge about the pregnancy complication (AOR 1.49 [95% CI: 1.11–1.88]), planned pregnancy (AOR 1.59 [95% CI: 1.28–1.91]), women autonomy (AOR 1.42 [95% CI: 1.23–1.62]), and positive husband attitude about the ANC service use (AOR 2.63 [95% CI: 1.47–3.79]). Conclusions: Several predictors have increased the ANC service utilization, like wealth status, women’s and their husbands’ education, older/increasing women’s age, media exposure, maternal knowledge about pregnancy complications, planned pregnancy, women’s autonomy to decide on household health care, and positive husband attitude about the ANC service utilization. Full article