Search Results (178)

Background/Objectives: Image quality of mammograms in breast cancer screening is strongly operator-dependent, particularly in the mediolateral oblique (MLO) projection where adequate visualisation of the pectoralis major muscle serves as a surrogate marker of posterior tissue inclusion. Current positioning assessment is predominantly qualitative and subject to inter-observer variability. This study aimed to quantitatively evaluate pectoral muscle visualisation and compression force variability among radiographers participating in a national screening programme. Methods: A retrospective observational study was conducted at Clinical Hospital Center Rijeka in January and February 2020. A total of 464 digital MLO mammograms were analysed. Images from nine radiographers were randomly retrieved from the institutional Picture Archiving and Communication System (PACS). Pectoral muscle length and width were measured using a standard clinical workstation with an integrated distance measurement tool. Additional variables included radiographer gender, breast side (LMLO vs. RMLO), imaging order, and applied compression force. Statistical analyses included Welch’s ANOVA, one-way ANOVA, t-tests, and appropriate post hoc comparisons. Results: Across all MLO projections, the combined mean pectoral muscle width was 41.0 ± 11.4 mm and the mean length was 134.3 ± 21.7 mm. Significant inter-operator differences were observed in pectoral muscle width (p < 0.001) and length (p = 0.023). Mean muscle width ranged from 35.0 mm to 54.2 mm, and mean length from 126.5 mm to 139.4 mm across radiographers. No significant differences were found with respect to radiographer gender, breast side, or imaging order (all p > 0.05). Compression force differed significantly among radiographers (p < 0.001), ranging from 117.0 ± 18.3 N to 184.8 ± 33.9 N. Conclusions: This study demonstrates significant inter-operator variability in both pectoral muscle visualisation and applied compression force during MLO mammography. These findings indicate that important technical aspects of mammographic examination remain strongly operator-dependent and highlight the need for more consistent positioning practices within screening programmes. Quantitative measurement of pectoral muscle dimensions may serve as a practical and objective approach for monitoring positioning quality and supporting quality assurance in routine clinical practice. Full article

Purpose: Quality evaluation data for clinical trials of large-area cerebral infarction are lacking. The objective of this study was to identify critical quality control issues specific to clinical trials in large-area cerebral infarction and to propose and evaluate corresponding strategies for the improvement of related clinical trials. The findings aim to inform and enhance quality management practices in future trials within this clinical area. Methods: Using one phase II clinical trial for the drug treatment of large-area cerebral infarction as the research model, we analysed the quality control issues in the participating centers. In the primary survey, quality issues were systematically examined from one key center (center A) and 26 additional centers participating in the trial. On the basis of the quality issues identified in the primary survey, six preventive measures were developed for these quality issues. These measures were subsequently applied in a follow-up secondary survey at two key centers (center A and center B); however, the other 53 centers were not subjected to the implementation of the measures. Chi-square analysis was conducted to evaluate the effectiveness of the corresponding preventive measures. Results: In the primary survey, no statistically significant differences were observed in the incidence rates of issues between center A and other centers, with the exception of PD-related quality issues. Following the implementation of the preventive measures, chi-square analysis revealed a statistically significant reduction in AE-related issues at center A compared with the other centers (p < 0.05). The improvement in AE-related issues represents the most notable outcome of this study. The direct comparison within center A revealed a reduction in quality issues per subject from 9.42 in the primary survey to 5.93 in the secondary survey. In addition, the number of AE-related issues decreased from 4.58 per subject to 2.20 per subject. Conclusions: The results of this study suggest that preventive measures are feasible for improving quality control in large-area cerebral infarction clinical trials. However, these quality measures require broader validation through larger-scale clinical trials. Full article

Background: Sarcopenia is characterized by progressive muscle weakness, impaired physical function, and reduced quality of life. Multimodal strategies combining rehabilitation and nutritional support that influence gut microbiota may help improve functional outcomes in adults at risk of sarcopenia. Objective: To evaluate whether a polyphenol-rich dietary recommendation associated with a nutritional supplement containing leucine, vitamin D3, and magnesium (SarcoDYN^®), in the context of a standardized rehabilitation program, provides superior improvements in functional and patient-reported outcomes compared with rehabilitation alone. Methods: This quasi-experimental, non-randomized retrospective study included 28 adults at risk of sarcopenia, divided into a study group (rehabilitation + polyphenol-rich diet + SarcoDYN^®) and a control group (rehabilitation only). Assessments were performed at baseline and after 3 months. Outcomes included SARC-F score, handgrip strength (dominant and non-dominant), sit-to-stand performance, perceived mobility, and perceived health status. Within- and between-group comparisons were conducted using appropriate parametric or non-parametric tests, and Spearman correlation analysis explored associations between functional, strength, and perceptual variables. Results: Both groups demonstrated significant within-group improvements in functional and patient-reported outcomes. At follow-up, the study group showed significantly better subjective outcomes, including lower SARC-F scores (U = 30.0, p = 0.002), higher perceived mobility (U = 40.0, p = 0.008), and higher perceived health status (U = 40.0, p = 0.008), compared with the control group. Objective post-intervention measures of handgrip strength and chair-rise performance did not differ significantly between groups. Correlation analysis revealed strong associations between SARC-F score, muscle strength, functional mobility, and perceived health. Conclusions: The combined intervention consisting of a polyphenol-rich diet that influence gut microbiota and SarcoDYN^® supplementation, delivered alongside a structured rehabilitation program, was associated with better patient-reported mobility and health perception in adults at risk of sarcopenia. These findings should be considered exploratory and hypothesis-generating, and require confirmation in larger controlled studies. Full article

Background: Misperception of body weight has been found to negatively impact both diet and physical activity levels, particularly in youth with overweight and obesity. Objectives: This study assessed consistency between actual and perceived weight status and lifestyle factors in a sample of 455 children and adolescents (55% males, 8–13 years) attending a summer camp in Northern Italy. Methods: Weight status was defined applying Body Mass Index (BMI) cut-offs. Adherence to the Mediterranean Diet (MD), physical activity level, sleep duration, and sleep quality were assessed through validated questionnaires. Self-perception was evaluated through 5-point Likert scales, with graphical representations. Results: Comparison between self-perceived and assessed parameters revealed a poor concordance across all types of variables. Approximately half of participants (43–55%) correctly rated their weight status (κ = 0.12; 95% CI: 0.05–0.19), diet quality (κ = 0.09; 95% CI: 0.02–0.15), physical activity level (κ = 0.18; 95% CI: 0.11–0.26), sleep time (κ = 0.10; 95% CI: 0.03–0.17), and sleep quality (κ = 0.18; 95% CI: 0.12–0.24). Participants 12–13 years old were more likely to have a greater weight status perception compared to younger subjects (OR = 2.13; 95% CI: 1.08–4.21). Being in a condition of overweight or obesity significantly decreased the odds of correct weight perception (OR = 0.13; 95% CI: 0.08–0.21). Similarly, subjects with higher adherence to the MD, adequate sleep time, and low sleep quality were more conscious about their diet and sleep patterns. Conclusions: Overall, these findings highlight a certain degree of misclassification, especially in subjects who need to improve their lifestyles, highlighting the potential relevance of fostering accurate self-perception during developmental age. Full article

Background/Objectives: Cone beam computed tomography (CBCT) is vital in endodontics but suffers from beam-hardening artifacts caused by metallic restorations, which can obscure diagnostic details. This study evaluated a novel patient positioning protocol—a controlled head tilt—designed to mitigate these artifacts by moving contralateral metallic structures outside the primary X-ray path in small field of view (FoV) CBCTs. Methods: Using a skull phantom with metallic restorations CBCT scans were acquired in three positions: standard alignment, a 12° tilt toward the region of interest (ROI), and a 12° tilt to the opposite side. Fifty experienced dentists, blinded to the protocol, subjectively compared image quality and artifact severity between the tilted and reference images. Results: The tilt away from the ROI was rated as providing better image quality significantly more often than the tilt towards the side of the ROI (442 of 585 non-tied comparisons; p < 0.001). A complementary rater-clustered GEE analysis adjusted for slide confirmed higher odds of “better” ratings under head tilt away from the ROI for image quality (OR = 4.16, 95% CI 3.12–5.56) and artefacts (OR = 2.87, 95% CI 1.93–4.26). An individual head tilt significantly improves subjective small-FoV CBCT image quality, most evidently in the longitudinal plane, by reducing artifact interference from contralateral metals, and should be considered a practical strategy for clinical use, and may serve as a practical chairside strategy, pending clinical validation. Full article

Background/Objectives: The objective of this study was to ascertain whether photon-counting CT angiography (PCD-CTA) can optimize image quality for the visualization of perforating arteries for planning fibular transplant procedures in comparison to energy-integrating CT angiography (EID-CTA). Methods: In this retrospective single-center study, all patients who underwent preoperative CT of the peripheral runoff for planning between October 2021 and July 2023 were consecutively included. PCD-CTA was performed in standard resolution mode as 55 keV images with 90 mL of iodine-containing contrast agent or alternatively, an EID-CTA as a low-kV scan with 110 mL of contrast agent. The raw data were reformatted using comparable soft vascular and sharp regular convolution kernels, slice thickness/increment, and field of view. Contrast-to-noise ratio was calculated for objective image quality. Subjective evaluation was based on a rating by three radiologists using a five-point Likert scale (criteria: overall image quality, luminal attenuation, vessel sharpness, and perforator depiction). Results: Of the 26 patients who were screened, 9 could be included in each group, while 8 were excluded due to incomplete reconstructions. The reduction in contrast agent dose resulted in a non-significant decrease in luminal attenuation on PCD-CTA (452.5 ± 53.6 HU vs. 465.5 ± 99.6 HU; p = 0.375). The image noise was considerably lower for PCD-CTA (21.1 ± 1.0 HU vs. 32.9 ± 1.6 HU; p < 0.001). This resulted in a significantly higher contrast-to-noise ratio (CNR) for sharp kernel reconstructions (22.4 ± 3.5 vs. 14.5 ± 3.8; p < 0.001). No significant differences were observed for the soft vascular kernel. Subjective evaluation revealed a significant enhancement in overall image quality, vascular sharpness, and perforator depiction for PCD-CTA with sharp reconstructions. In contrast, soft kernel reconstructions and luminal attenuation demonstrated no substantial difference. Interrater agreement was good to excellent. Conclusions: PCD-CTA with sharp kernel reformatting has been demonstrated to yield superior image quality and perforator delineation of the fibular artery in comparison to standard EID-CTA. Full article

Water scarcity and increasing climate variability have strengthened the demand for effective weather-modification technologies such as cloud seeding. In Thailand, conventional manned rainmaking aircraft remain constrained by operational range, safety risks, and sustainability considerations, motivating the development of electric vertical take-off and landing unmanned aerial vehicles (eVTOL-UAVs). This paper proposes a mission-driven conceptual design and optimization framework for a cloud-seeding eVTOL-UAV, and extends it to reliability-based design optimization (RBDO) under uncertainty. The design task is formulated as a five-objective many-objective optimization problem with the following objectives: minimizing take-off weight, turn radius, and probability of failure, while maximizing endurance and climb rate, subject to stability/control and performance constraints. Ten state-of-the-art many-objective metaheuristics are benchmarked and solve the problem, and their performance is assessed using hypervolume (HV), inverted generational distance (IGD), runtime, and Friedman rank statistics. Results show that AGEMOEAII and PREA consistently provide the most competitive solution-set quality (HV/IGD) with comparable computational cost across algorithms. A deterministic–reliability comparison further demonstrates a clear robustness gap. Five representative Pareto designs from the best-performing optimizer are reported to illustrate practical trade-offs and support decision-making for sustainable, autonomous cloud-seeding operations. Full article

Objective: This study aims to evaluate the retentive forces and oral health-related quality of life of completely edentulous subjects wearing heat-cured, 3D-printed, and polyamide complete denture (CD) bases at different intervals. Subjects and Methods: For this crossover study, 45 CDs were constructed for 15 completely edentulous male subjects, and subjects were randomly allocated to 3 equal groups (n = 5/group, 3 CDs/subject). Each subject was randomized to receive one manufactured CD—either heat-cured, polyamide, or 3D-printed. After 3 months, subjects crossed over to the other set, with 4 weeks’ rest between each CD. The retentive force (primary outcome) was measured for each maxillary CD base at baseline, after the first and third months; however, the oral health-related quality of life (second outcome) was evaluated for each CD after the first and third months using the oral health impact profile in the completely edentulous patient (OHIP-EDENT) questionnaire. Results: There were significant differences in retention forces between the polyamide CD and the other two CDs (p < 0.05); however, no significant difference was observed between the heat-cured and 3D-printed CDs at different intervals (p > 0.05). After 3 months of follow-up, significant differences in oral health-related quality of life were observed between polyamide and both 3D-printed and heat-cured CDs (p < 0.05). Additionally, the comparison between heat-cured and 3D-printed CDs revealed no significant variation in the overall OHIP-EDENT scores (p > 0.05). Conclusions: The retention of polyamide bases was higher than that of heat-cured and 3D-printed CDs. Additionally, oral health-related quality of life with polyamide dentures was superior to that of 3D-printed and heat-cured CDs across all OHIP-EDENT measures, except for social disability. Both 3D-printed and heat-cured CD bases provide retention and patient satisfaction within acceptable clinical measures. Full article

Background: The decline in traditional cooking practices and the increased consumption of ready-to-eat meals have raised concerns about dietary quality and health, especially among university students. Nutrition students, despite their academic training, often struggle to translate theoretical knowledge into healthy eating practices. Culinary classes in academic settings have emerged as promising strategies to enhance both cooking skills (CS) and eating competence (EC). Objectives: This study aimed to evaluate the impact of a 12-month cooking class program on the development of culinary skills and eating competence among nutrition students at a public university in Brazil. Methods: A longitudinal study was conducted with 42 nutrition students who completed a structured questionnaire at three time points: baseline, after 6 months, and after 1 year of participation in sequential cooking-related subjects. Data were collected using the Brazilian Cooking Skills and Healthy Eating Questionnaire (QBHC) and the Brazilian version of the Satter Eating Competence Inventory (ecSI2.0™BR). Statistical analyses included a repeated-measures ANOVA and a Pearson correlation. Bonferroni post hoc comparisons were conducted following the repeated-measures ANOVA to identify the time points at which significant differences occurred. Results: Participants, predominantly young females (78.6%, mean age 21.07 ± 2.71 years), demonstrated high CS at baseline and showed significant improvements over time (p < 0.05). At baseline, 59.5% of participants (n = 25) were considered competent eaters (EC ≥ 32). Knowledge in cooking terms and techniques increased after one year (p = 0.023). EC mean scores classified participants as competent eaters at the beginning and after one year, with an increase in the internal regulation domain. Improvements in technical culinary knowledge were associated with gains in contextual skills. Conclusions: Participation in structured cooking classes positively influenced the development of CS and EC internal regulation among nutrition students. Full article

Background/Objectives: Single-sided deafness (SSD) impairs speech perception, reduces spatial hearing, decreases quality of life, and is frequently accompanied by tinnitus. Cochlear implantation (CI) has become an established treatment option, but long-term prospective evidence across multiple functional and psychological domains remains limited. This study investigated auditory performance, subjective hearing outcomes, tinnitus burden, and psychological well-being over a two-year follow-up in a large SSD cohort. Methods: Seventy adults with SSD underwent unilateral CI. Assessments were conducted preoperatively and at 6 months, 1 year, and 2 years postoperatively. Outcome measures included the Freiburg Monosyllable Test (FS), Oldenburg Inventory (OI), Nijmegen Cochlear Implant Questionnaire (NCIQ), Tinnitus Questionnaire (TQ), Perceived Stress Questionnaire (PSQ), Generalized Anxiety Disorder scale (GAD-7), and General Depression Scale (ADS-L). Longitudinal changes were analyzed using Wilcoxon signed-rank tests with effect sizes; Holm-adjusted p-values were applied for baseline-to-follow-up comparisons. Results: Speech perception improved markedly within the first 6 months and remained stable through 2 years, with large effect sizes. All OI subdomains demonstrated early and sustained improvements in subjective hearing ability. Several hearing-related quality-of-life domains assessed by the NCIQ, particularly social interaction, self-esteem, and activity participation, showed medium-to-large long-term improvements. Tinnitus severity decreased substantially, with marked reductions observed by 6 months and maintained thereafter; the proportion of tinnitus-free patients increased at follow-up, although tinnitus symptoms persisted in a substantial subset of participants. Perceived stress was reduced initially at the early follow-up and remained below baseline thereafter. Anxiety and depressive symptoms mostly stayed within nonclinical ranges, showing no lasting changes after adjusting for multiple comparisons. Conclusions: In this prospective cohort, cochlear implantation was associated with durable improvements in auditory outcomes, tinnitus burden, and selected patient-reported quality-of-life domains over two years. Although significant functional and patient-centered improvements were noted, persistent tinnitus and diverse psychosocial outcomes underscore the need for personalized counseling and comprehensive follow-up that incorporate patient-reported outcomes and psychological assessments. Full article

Background/Objectives: To examine whether extending sexual arousal through lengthened erotic video viewing during semen collection improves semen parameters in infertile men. Methods: In this prospective within-subject study, 205 infertile men supplied semen samples in two sessions about four weeks apart and followed strict uniform protocols. In the first session, participants ejaculated after the customary viewing length of erotic videos. During the second session, viewing time was increased prior to ejaculation. Semen volume, sperm concentration, total motility, progressive motility, and morphology were assessed as per the WHO 2021 guidelines. Comparisons were analyzed using paired samples t-test or Wilcoxon signed-rank test and correlation analysis was performed using Spearman’s rank correlation. Results: Median duration of erotic video watching increased from 8 min (IQR: 5–10) to 15 min (IQR: 11–20) (p < 0.001). Moreover, extended arousal was associated with increased sperm concentration (from 19 × 10⁶/mL to 24 × 10⁶/mL, p < 0.001), total motility (43% to 46%, p < 0.001), and progressive motility (33% to 37%, p < 0.001) with unchanged morphology (p = 0.053). Increases in arousal duration exhibited a weak but significant correlation with changes in concentration (ρ = 0.21, p = 0.003), total motility (ρ = 0.27, p < 0.001), and progressive motility (ρ = 0.22, p = 0.002). Subgroup analysis showed improvements in non-smokers but not in smokers. Conclusions: Extended erotic stimulation during semen sample collection significantly enhances sperm motility and modestly increases concentration in men with infertility, albeit without changing morphology. These findings suggest that extended erotic stimulation during semen collection may be a simple, non-invasive strategy to help optimize semen quality in infertile men, especially non-smokers. Full article

The Danube River is one of Europe’s largest transboundary rivers, characterized by substantial spatial heterogeneity in environmental conditions, monitoring practices, and water management frameworks. Developing a harmonized approach for basin-wide surface-water quality assessment is therefore essential. This study presents the development and application of an adapted Water Quality Index (Danube WQI) for assessing and monitoring water quality along the Danube River, one of Europe’s largest and most complex transboundary systems. The Danube WQI is based on established WQI methodologies and integrates two objective weighting approaches—the Entropy Weight Method (EWM) and the CRITIC (Criteria Importance Through Inter-Criteria Correlation) method—to minimize subjectivity and improve the robustness of parameter weighting. Long-term water quality data from the TransNational Monitoring Network (TNMN) of the International Commission for the Protection of the Danube River (ICPDR) were used, covering 42 stations across nine countries (1996–2022). Nine parameters were selected: dissolved oxygen (DO), biochemical oxygen demand (BOD₅), total nitrogen (TN), nitrate (NO₃), ammonium (NH₄), total phosphorus (TP), orthophosphate (PO₄), electrical conductivity (EC), and pH. During the formation of sub-indices and rating curves, national water quality standards from the Danube countries were harmonized to ensure consistent parameter classification. Results indicate that the Danube River generally exhibits very good water quality, with most sections belonging to the first and second quality classes. Comparison with the Canadian Water Quality Index (CWQI) confirmed similar results but demonstrated higher seasonal sensitivity of the Danube WQI. Additionally, rankings obtained using the PROMETHEE II multicriteria method showed strong agreement with the Danube WQI classifications, further confirming the robustness of the proposed index. The proposed index provides a harmonized and transferable framework that can support integrated water management and policy evaluation across the Danube River Basin and within the EU Water Framework Directive context. Full article

Background and objectives: This study examines how sociodemographic, clinical, and psychological factors within the patient–caregiver dyad affect caregiver burden and health-related quality of life (HRQoL) in cognitive impairment. By comparing baseline data with a 1-year follow-up, the research aims to identify key predictors of caregiver burden and well-being. Methods: A longitudinal observational study was conducted in an Italian rehabilitation hospital, recruiting 132 outpatients and their caregivers at baseline, categorized as (a) Mild Cognitive Impairment (MCI, n = 33); (b) dementia (DEM, n = 58); (c) healthy subjects (No-CI, n = 41). One year after baseline assessment (T0), patients were contacted and invited for an in-person follow-up re-evaluation (T1). Most attrition was related to the COVID-19 pandemic. Statistical analyses included non-parametric tests for group comparisons and stepwise multiple linear regression to identify predictors of burden, adjusting for confounders (e.g., age, gender, education, employment, co-residence). Results: A total of 51 subjects (age: 80.0 ± 6.1) and 34 caregivers (age: 58.8 ± 15.9) were evaluated. Patients were balanced by gender (53% males); most were retired (96%), married (62.7%), and cared for by sons (47%) or wife–husband (47%). Caregivers (females: 85%) were married (68.3%) and active workers (46.4%). Over one year, 17 No-CI subjects developed MCI or DEM; 15 MCI patients progressed to DEM. Caregiver HRQoL negatively correlated with distress and burden in MCI and DEM groups. Patient cognitive status, functional abilities, neuropsychiatric symptoms, and gender predicted caregiver burden, emphasizing the interplay between clinical and demographic factors. Conclusions: It is essential to monitor psychosocial factors in both the patient and the caregiver to develop effective prevention and support strategies. Full article

Background/Objectives: Low back pain (LBP) is the most prevalent musculoskeletal condition, significantly impacting quality of life and incurring high social costs. Although non-specific (without anatomical abnormalities) LBP accounts for nearly 80% of cases, LBP due to adult spinal deformities (ASDs), including scoliosis, remains a major concern. Several patient-reported outcome measures (PROMs)—notably the Oswestry Disability Index (ODI), Scoliosis Research Society-22 questionnaire (SRS-22), and Core Outcome Measure Instrument (COMI)—are recommended for assessment in these populations. This study aims to verify if these PROMs can effectively distinguish between adults with scoliosis-associated LBP (SLBP) and those with non-specific LBP (LBP). Methods: subjects were categorised as either having idiopathic/degenerative scoliosis (>10° Cobb angle in the coronal plane) with LBP, or non-specific LBP. Statistical comparisons applied non-parametric tests (Wilcoxon rank-sum, Mood’s median, chi-square), Spearman’s correlation, and generalised linear regression analyses. Results: Among 1092 subjects (552 SLBP; 540 LBP), median ODI scores were similar between groups, while SRS-22 scores were modestly higher in the SLBP cohort. Females consistently reported higher ODI and lower SRS-22 scores. Significant correlations arose between ODI and COMI, with moderate inverse associations with SRS-22. Regression analysis demonstrated that pathology group, gender, age, and BMI weakly predicted PROM scores. Conclusions: ODI and SRS-22 perform comparably in assessing disability in adults with LBP regardless of scoliosis, suggesting they cannot discriminate different pathologies. These findings underscore the importance of employing multiple PROMs to capture clinical dimensions. Full article

Objective. Consumer-grade EEG devices have the potential for widespread brain–computer interface deployment but pose significant challenges for emotion recognition due to reduced spatial coverage and the variable signal quality encountered in uncontrolled deployment environments. While deep learning approaches have employed increasingly complex architectures, their efficacy in noisy consumer-grade signals and cross-system generalizability remains unexplored. We present a comprehensive systematic comparison of EEGNet architecture, which has become a benchmark model for consumer-grade EEG analysis versus traditional machine learning, examining when and why domain-specific feature engineering outperforms end-to-end learning in resource constrained scenarios. Approach. We conducted comprehensive within-dataset evaluation using the DREAMER dataset (23 subjects, Emotiv EPOC 14-channel) and challenging cross-dataset validation (DREAMER→SEED-VII transfer). Traditional ML employed domain-specific feature engineering (statistical, frequency-domain, and connectivity features) with random forest classification. Deep learning employed both optimized and enhanced EEGNet architectures, specifically designed for low channel consumer EEG systems. For cross-dataset validation, we implemented progressive domain adaptation combining anatomical channel mapping, CORAL adaptation, and TCA subspace learning. Statistical validation included 345 comprehensive evaluations with fivefold cross-validation × 3 seeds × 23 subjects, Wilcoxon signed-rank tests, and Cohen’s d effect size calculations. Main results. Traditional ML achieved superior within-dataset performance (F1 = 0.945 ± 0.034 versus 0.567 for EEGNet architectures, p < 0.000001, Cohen’s d = 3.863, 67% improvement) across 345 evaluations. Cross-dataset validation demonstrated good performance (F1 = 0.619 versus 0.007) through systematic domain adaptation. Progressive improvements included anatomical channel mapping (5.8× improvement), CORAL domain adaptation (2.7× improvement), and TCA subspace learning (4.5× improvement). Feature analysis revealed inter-channel connectivity patterns contributed 61% of the discriminative power. Traditional ML demonstrated superior computational efficiency (95% faster training, 10× faster inference) and excellent stability (CV = 0.036). Fairness validation experiments supported the advantage of traditional ML in its ability to persist even with minimal feature engineering (F1 = 0.842 vs. 0.646 for enhanced EEGNet), and robustness analysis revealed that deep learning degrades more under consumer-grade noise conditions (17% vs. <1% degradation). Significance. These findings challenge the assumption that architectural complexity universally improves biosignal processing performance in consumer-grade applications. Through the comparison of traditional ML against the EEGNet consumer-grade architecture, we highlight the potential that domain-specific feature engineering and lightweight adaptation techniques can provide superior accuracy, stability, and practical deployment capabilities for consumer-grade EEG emotion recognition. While our empirical comparison focused on EEGNet, the underlying principles regarding data efficiency, noise robustness, and the value of domain expertise could extend to comparisons with other complex architectures facing similar constraints in further research. This comprehensive domain adaptation framework enables robust cross-system deployment, addressing critical gaps in real-world BCI applications. Full article