Search Results (31,034)

This study investigates the relationship between climate change and financial risk by examining how temperature variations affect banking sector credit quality across European Union countries. Using quarterly panel data and sector-level non-performing loan (NPL) ratios from the EBA Risk Dashboard, the paper applies fixed-effects and dynamic panel models to estimate climate–credit sensitivities. Specifically, we investigate whether observed temperature changes affect sectoral NPLs in Europe and whether these effects differ across sectors. The results indicate a statistically significant and positive relationship between temperature changes and NPL levels, with notable heterogeneity across sectors. Evidence further suggests that climate shocks exhibit delayed effects on credit risk, as models incorporating lag structures yield stronger and more robust results. These findings provide empirical support for integrating climate variables into credit risk assessment and contribute to the literature by offering a sector-resolved, data-driven foundation for climate risk stress-testing frameworks. Full article

Background/Objectives: Anemia and iron dysregulation are common in chronic heart failure (CHF), but additional metabolic mechanisms may contribute to these alterations. This study aimed to evaluate purine metabolism and oxidative stress markers in patients with CHF and to explore their potential relationship with anemia. Methods: In this cross-sectional study, 176 patients with CHF and 29 control individuals were included. CHF phenotypes were classified according to left ventricular ejection fraction (HFpEF, HFmrEF, HFrEF). Purine metabolites (guanine, hypoxanthine, adenine, xanthine, and uric acid) were measured using high-performance liquid chromatography, while lipid peroxidation (LPO) and advanced oxidation protein products (AOPPs) were assessed spectrophotometrically. Non-parametric statistical tests with correction for multiple comparisons were applied. Results: Anemia was present in 40.3% of patients with CHF. Serum iron and platelet counts were significantly lower in CHF compared with controls (p = 0.001). Among purine metabolites, adenine levels were higher in CHF (nominal p = 0.009), whereas other metabolites did not differ significantly between groups. LPO levels were lower and AOPP levels were higher in CHF (p = 0.021 and p = 0.008, respectively). No statistically significant associations were observed between hemoglobin levels and purine metabolites. Conclusions: CHF is associated with alterations in iron status and oxidative stress markers, as well as changes in purine metabolism. However, no significant associations between purine metabolites and anemia were identified in this cohort, and these findings should be interpreted cautiously given the exploratory design and sample size limitations. Full article

The effect of increasing levels of coconut oil (CO: 0, 100, 200, and 300 g/kg of supplement DM) on productive performance, feed intake, rumen fermentation, microbiota, and gene expression was evaluated in 24 calves (Bos indicus × Bos taurus; 180 ± 10 kg BW) on rotational grazing (Cynodon dactylon) in a completely randomized design (n = 6) for 112 days. Supplement intake (offer–refusal) and forage intake (external marker: chromium) were measured. On day 112, rumen fluid (fermentation profile, protozoa, and metagenomic analysis: 16S rRNA V3-V4) and total blood (DNA microarray: M22k) were collected. Genomic analyses were performed by comparing the control vs. the group with the best productive response. For statistical analysis, SAS PROC GLM (initial weight as a covariate), orthogonal polynomials, the Tukey test, and Spearman correlation were used, considering significant effects (p ≤ 0.05) and trend (p ≤ 0.1). The inclusion of 200 g CO/kg supplement DM showed the best average daily gain (p = 0.018; +0.139 kg/d) with the highest retained energy (p = 0.02; +0.631 Mcal/d) versus the control group. In the rumen, propionate increased (p ≤ 0.05), while protozoa decreased (p < 0.0001) and the methanogenic archaea tended to decrease (Methanobacteriaceae −44%, p = 0.08; Thermoplasmatales −35%, p = 0.06). At the transcriptional level, 19 hub genes were modulated by CO, suggesting a lower intracellular signaling (cAMP-PKA-CREB) associated with a lower stress condition and better energy metabolism regulation. In conclusion, 200 g CO/kg supplement DM is a viable strategy for improving the productive performance of livestock in tropical systems. Full article

Background: Mild Cognitive Impairment (MCI) is a clinical state between normal aging and dementia. It may involve impairment in one or several cognitive domains. MCI offers a key window for maintaining cognitive function and studying how deficits develop in the elderly, making it of great research value. Measurement tools for screening MCI are not yet standardized in China. The accuracy of diagnostic criteria and threshold values needs improvement. Previous studies on the neural mechanisms of MCI have examined various aspects, but the changes in the white matter microstructure in older adults with MCI remain unclear. Most past studies used Fractional Anisotropy (FA) analysis to examine changes in white matter fiber orientation, often ignoring fiber density. As a result, findings are often contradictory or difficult to interpret. Therefore, it is necessary to assess cognitive function in MCI populations using more comprehensive and standardized measurement tools. It is also important to explore the association between changes in white matter microstructure and cognitive function in MCI by analyzing FA and Mean Diffusivity (MD). Methods: First, we assessed cognitive function using the Cognitive Function Measurement Scale for the Elderly, developed by Beijing Normal University, with diagnoses based on the NIA-AA (National Institute on Aging—Alzheimer’s Association) criteria. Second, we employed Diffusion Tensor Imaging (DTI) combined with Tract-Based Spatial Statistics (TBSS) to investigate alterations in the white matter fiber tract integrity in individuals with MCI. Based on the metrics used, this study was divided into two analytical approaches: Analysis Mode 1 utilized FA to explore changes in white matter fiber orientation in the MCI group. Analysis Mode 2 utilized MD to examine changes in white matter fiber density in the MCI group. Third, we further explored the association between alterations in the white matter fiber tract integrity and cognitive function in individuals with MCI. Specifically, FA and MD values from brain regions showing significant differences between the MCI and normal control groups were extracted and correlated with cognitive test scores. Results: According to the results of the community measurement survey, the prevalence of MCI among the elderly in Shenzhen is approximately 21.54%. Individuals with MCI exhibited functional decline in memory, attention, language, executive function, and spatial processing. DTI results indicated that (1) FA values across the brain’s white matter fiber tracts showed a decreasing trend in the elderly with MCI, with no areas exhibiting significantly higher FA values. Specifically, FA values were significantly lower in the corpus callosum, internal capsule, corona radiata, thalamic radiation, external capsule, superior fronto-occipital fasciculus, and cingulum (cingulate gyrus). (2) White matter fiber tracts with significantly reduced FA values also demonstrated significantly increased MD values. Additionally, MD values in the cingulum (hippocampus), inferior cerebellar peduncle, and corticospinal tract were significantly reduced in the MCI group. (3) Correlation analysis revealed that the significant differences in FA and MD values within the white matter fiber tracts of older adults with MCI were correlated with scores on several cognitive tests. Conclusions: In the present study, older adults with MCI tended to exhibit functional decline across multiple cognitive domains and relatively extensive microstructural white matter damage. Observations suggested that white matter fiber density may be informative regarding these microstructural alterations, indicating that diffusion biomarkers in key regions such as the cingulum (hippocampus) warrant further investigation. Full article

Background: This study aimed to compare the effects of unstable strength training (UST) and traditional strength training (TST) on lower-body stability in adolescent volleyball players in China. Methods: This stratified randomized controlled trial recruited 62 eligible athletes from Shandong Province. Participants were assigned to either the UST group or the TST group, and both groups completed a 10-week training program. Results: Multivariate analysis of variance (MANOVA) for within-group effects revealed statistically significant improvements in all dependent variables for both the UST and TST groups (p < 0.05), FMS [F = 35.112, p < 0.001, η² = 0.377]; and balance ability differences, left-side score (LS) [F = 8.268, p < 0.001, η² = 0.125], right-side score (RS) [F = 8.094, p < 0.001, η² = 0.122]. Furthermore, after controlling for covariates, MANCOVA analysis for between-group effects still showed statistically significant differences between the UST and TST groups on all post-test dependent variables. These differences included: functional differences, FMS [F = 34.412, p < 0.001, η² = 0.389]; LS [F = 8.079, p < 0.01, η² = 0.130]; and RS [F = 8.532, p < 0.001, η² = 0.136]. Conclusion: UST is more effective than TST in improving athletes’ lower-body stability performance. Future studies should explore the application of UST in other sports and examine its effects on parameters beyond functional movement and balance. Full article

Background/Objectives: This prospective observational cohort study aimed to evaluate the influence of heated tobacco (HT) and electronic cigarettes (ECs) on bone remodeling markers such as receptor activator of nuclear factor kappa-B ligand (RANKL) and osteoprotegerin (OPG), and periodontal status, at baseline and at 3 months after initial periodontal therapy. Methods: The sample comprised 236 participants (130 women, 106 men; mean age 38.96 ± 7.69 years), distributed across non-smokers (n = 72), heated tobacco/HT product users (n = 83), and electronic cigarette/EC users (n = 81). For each patient, the periodontal charting included periodontal probing depth (PPD), bleeding on probing (BOP), and clinical attachment loss (CAL). Unstimulated saliva samples were analyzed for RANKL and OPG levels. All patients underwent nonsurgical periodontal therapy (scaling and root planing). Between-group comparisons were performed using the Kruskal–Wallis test followed by Bonferroni-adjusted pairwise comparisons, while within-group changes over time were assessed using the Wilcoxon signed-rank test. To complement the primary nonparametric analyses, two-way mixed-design ANOVA and ANCOVA models adjusted for baseline values and periodontitis stage were performed as sensitivity analyses. Statistical significance was set at p < 0.05. Results: At baseline, both product user groups exhibited significantly higher PPD (p = 0.005) and CAL (p = 0.001) compared with non-smokers, with no differences between HT and EC users. Salivary RANKL levels were significantly higher in HT and EC users than in non-smokers, and OPG levels did not differ significantly. Following non-surgical periodontal therapy, all parameters improved significantly across groups (p < 0.001). At the 3-month follow-up, both product user groups maintained higher PPD (p = 0.008), CAL (p = 0.001), and salivary RANKL levels, compared with non-smoking individuals (p < 0.001). The RANKL/OPG ratio remained significantly different only for EC users compared with non-smokers (p < 0.001). Conclusions: HT and EC use were associated with differences in periodontal parameters and higher RANKL levels, while differences in the RANKL/OPG ratio were observed in EC users compared with non-smokers. Non-surgical periodontal therapy improved clinical parameters and reduced the RANKL/OPG ratio, highlighting the importance of biofilm control. Full article

This paper addresses probabilistic and statistical methods for calculating technical energy losses in direct current (DC) networks. A DC network model is adopted as the basis for the analysis, and several approaches are compared in terms of qualitative features and computational efficiency. The load profile is described using probabilistic indicators, emphasizing the importance of accounting for correlation moments (CMs) between node powers and CMs between voltages to reduce calculation errors. A correction procedure for the mathematical expectation of node voltages is proposed, which significantly improves the accuracy of loss estimation. Simulation studies on representative four-node DC test networks show that the proposed method reduces the root mean square error in loss estimation by up to 15–20% compared with traditional approaches based solely on mean load values. The results confirm that the correction of node voltage expectations provides a good balance between accuracy and computational cost and can be recommended as an independent procedure within existing probabilistic frameworks for loss assessment. Full article

Background/Objectives: This study aimed to examine whether rumination statistically accounts for the indirect association between mindfulness and burnout among athletes using a quantitative, cross-sectional, and non-interventional research design. Methods: The sample consisted of 484 licensed athletes (157 females, 32.4%; 327 males, 67.6%) actively involved in team sports, individual sports, and e-sports in Istanbul during the 2024–2025 period. Data were collected using the Athlete Mindfulness Questionnaire, the Sport Competition Rumination Scale, and the Athlete Burnout Questionnaire. Statistical analyses were conducted using IBM SPSS 25 and Hayes’ PROCESS Macro (Model 4), and mediation effects were tested using a bootstrap procedure with 5000 resamples and 95% confidence intervals. Results: The findings revealed significant relationships among mindfulness, rumination, and burnout. Mindfulness was positively associated with rumination, and rumination was significantly associated with athlete burnout. Furthermore, when rumination was included in the model, the direct relationship between mindfulness and burnout became non-significant. Given the cross-sectional nature of the study, the findings should be interpreted as relational rather than causal. Conclusions: In conclusion, the findings suggest that the relationship between mindfulness and burnout may be indirectly shaped through ruminative cognitive processes depending on contextual and cognitive-regulatory factors. The results further suggest that the associations between mindfulness, rumination, and burnout may vary according to competitive context and individual cognitive processing patterns. Full article

This study integrated Item Response Theory (IRT) models with ordinal survey instruments to establish a baseline psychometric framework and identify multidimensional factors associated with academic achievement among first-semester leveling students (N = 1558 pre-test; N = 1676 post-test) at the Escuela Politécnica Nacional, Ecuador. A dual-component methodology was employed in this study. Initially, an 80-item ordinal survey was utilized to assess eight latent constructs, yielding substantial validation metrics through Confirmatory Factor Analysis (CFA). Secondly, structured diagnostic assessments in core STEM and language subjects were calibrated using three-parameter logistic (3PL) IRT models via Expected A Posteriori (EAP) estimation. Results demonstrated high internal consistency ($r = 0.93$ between IRT and raw scores), with mean IRT-scaled ability $\overline{\theta } = 10.45$ ($SD = 3.51$) on a 1–20 scale. Estimated item parameters yielded a mean discrimination of $\overline{\mathrm{a}} = 1.92$ and a centered mean difficulty of $\overline{b} = 0.05$. The Orlando–Thissen $S-X^2$ goodness-of-fit test, applied at a significance threshold of $p < 0.01$, identified 19 items (23.75%) whose observed response patterns deviated significantly from model predictions, with the majority concentrated in the physics and chemistry content domains. Factor scores and performance outcomes were statistically contrasted against 24 categorical demographic variables, revealing differential performance patterns across student subgroups. This research provides validated psychometric instruments, reproducible IRT-LMS integration protocols, and empirical evidence supporting targeted interventions to strengthen university transition. Full article

Objective: Glutamic acid decarboxylase 65 (GAD65) antibody-associated epilepsy often presents as chronic focal epilepsy, usually with temporal lobe predominance, marked drug resistance, and inconsistent response to first-line immunotherapy. We assembled a large, harmonized, and literature-derived patient-level cohort to examine whether immunotherapy timing and regimen composition were associated with seizure outcome and to identify clinically meaningful prognostic signals. Methods: We performed a literature-derived patient-level analysis of 375 unique published cases linked to 132 contributory source publications from an audited full-text register of 166 reviewed studies. Descriptive analyses used the whole cohort. Treatment-response analyses assessed seizure outcome at the first evaluable post-immunotherapy assessment and at the last follow-up. Good seizure outcome was defined as seizure freedom and/or ≥50% seizure reduction. The primary timing comparison contrasted early treatment, defined as immunotherapy within 6 months of symptom onset, with late treatment, defined as immunotherapy after more than 12 months; four cases treated in the intermediate >6 to ≤12 month window were retained for descriptive timing summaries but excluded from the primary comparison. Statistical testing used the Fisher exact, Chi-square, Mann–Whitney U, and prespecified clustered logistic sensitivity analyses where appropriate. Results: The pooled phenotype was predominantly female, usually temporal-lobe-based, and frequently drug-resistant, with common autoimmune comorbidity and heterogeneous MRI abnormalities. Among timing-evaluable treated cases, earlier immunotherapy showed a class-specific, exploratory signal rather than a uniform regimen-independent effect. In rituximab/CD20-directed regimens, early treatment was associated with a higher rate of good seizure outcome than late treatment at both the first post-immunotherapy assessment and last follow-up (93.8% vs. 50.0%; risk difference [RD]: 43.8 percentage points; 95% CI: 7.7 to 72.7). A similar pattern was observed in the broader escalation group (94.4% vs. 55.6%; RD: 38.9 percentage points; 95% CI: 6.3 to 68.1). By contrast, steroid-containing regimens showed no clear early-versus-late advantage (84.6% vs. 88.2%; RD: −3.6 percentage points; 95% CI: −18.4 to 20.1). Shorter epilepsy duration before immunotherapy and absence of established drug resistance were the most clinically meaningful favorable baseline features. Significance: In GAD65 antibody-associated epilepsy, the therapeutic window may be most relevant for escalation strategies rather than for steroid-containing first-line regimens. However, these class-specific findings are exploratory and hypothesis-generating. They derive from non-randomized, literature-derived data and may reflect treatment intensity, center practice, publication era, and confounding by indication rather than isolated regimen superiority. Prospective collaborative registries with standardized longitudinal seizure outcome measures are needed to validate these observations. Full article

Background: This study examined how clinical nurses’ communication competence, grit, and leader–member exchange (LMX) contribute to nursing performance, aiming to identify key predictors to support workforce development and organizational policy planning. Methods: This study was conducted as a descriptive correlation study targeting 190 clinical nurses working at a general hospital in S City. Data were collected through a self-report questionnaire and analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and hierarchical regression analysis using the IBM SPSS/WIN 25.0 program. Results: On a 5-point scale, the mean score of nursing performance was 4.05. Communication skills (β = 0.52, p < 0.001), grit (β = 0.23, p = 0.002), and clinical experience (β = 0.18, p = 0.022) significantly affected nursing work performance, with communication skills having the greatest effect. This model explained 47.3% of the nursing performance. Conclusions: To improve the nursing performance of nurses, strengthening communication skills and grit, supporting professional development, and recognizing clinical experience are crucial. These findings suggest that integrating such programs into ward nurse training may contribute to improved nursing performance and organizational effectiveness. To develop these competencies and evaluate their effectiveness, follow-up research is continuously needed. Full article

Taiwan’s subtropical climate poses substantial heat stress challenges to poultry production. This study compared four red-feathered rooster lines (n = 10 per line, BB homozygous HSP70 genotype)—three commercially bred lines (F, T, K) selected for maximum body weight, and one native trial line (TLRI-09) developed through marker-assisted selection targeting the HSP70 BB genotype—during a one-hour acute heat challenge at 42 °C. A pre-specified statistical decision tree was applied: normality was assessed by the Shapiro–Wilk test for each group’s change score (Δ = post − pre); one-way ANOVA with Tukey’s HSD was used when all groups were normally distributed; Kruskal–Wallis with Dunn’s post hoc test (Bonferroni correction) was used otherwise. Within-group pre-to-post changes were assessed by paired t-test. TLRI-09 showed a substantially lower body weight (909 ± 102 g vs. 2039–2226 g) and zero mortality, whereas each commercial line experienced one death (10%). Cloacal temperatures in F, T, and K groups exceeded the thermometer’s upper limit (>44 °C) within one hour; TLRI-09 reached only 42.8 ± 0.1 °C. Respiratory rate increment was highest in TLRI-09 (Δ = 82.0 ± 8.4 breaths/min) and differed significantly among lines (p < 0.001). Plasma T₃ change differed among lines (p = 0.006); post hoc analysis identified a significant K vs. T contrast only (p = 0.019). These results indicate that, despite sharing the same HSP70 genotype, breeding objective is an important determinant of acute thermal resilience—an observation that warrants further validation under chronic and commercial production conditions. Full article

We modelled, for the first time, the seasonal dynamics and long-term trends of Abies marocana forests (Rif Mountains, northern Morocco) using remote-sensing-derived vegetation indices. Using the MODIS Terra Vegetation Indices product MOD13Q1 (enhanced vegetation index, EVI; 16-day frequency; 250 m spatial resolution) from 2000 to 2024 (575 images over 25 years), we applied a robust seasonal trend analysis (RSTA) workflow, representing an inferential extension of classical seasonal trend analysis (STA) through the explicit control of Type I error under serial and spatial correlation. This approach combined: (i) harmonic regression to capture the annual and semi-annual cycles of A. marocana forests, estimating seasonal amplitudes and phases while filtering out low-frequency noise; (ii) an iterative trend-free prewhitening (TFPW) procedure following Wang and Swail, applied only to time series with significant serial autocorrelation according to the Durbin–Watson test; (iii) the Theil–Sen slope (TS) estimator, a robust non-parametric method, to quantify the magnitude and direction of seasonality trends; (iv) the contextual Mann–Kendall (CMK) test to assess the statistical significance of seasonality trends, while correcting for spatial autocorrelation and accounting for cross-correlation among neighbouring pixels; (v) the Benjamini–Hochberg (BH) procedure to control the false discovery rate (FDR), ensuring that only statistically robust seasonality trends were retained; and (vi) reconstruction of seasonal curves representing the beginning and end of the study period and derivation of phenological metrics from the statistically significant seasonal trends retained after inferential filtering. After applying the complete analytical workflow, statistically significant trends were detected in 79.2% of pixels within A. marocana forests, compared with 86.4% when prewhitening and false discovery rate control were not applied. All Theil–Sen slopes retained by the RSTA workflow were positive, with a mean slope of approximately 0.00175 EVI year⁻¹, corresponding to an average annual increase of roughly 0.7% and an overall increase of approximately 15% over the 2000–2024 study period relative to the initial mean EVI conditions. Browning trends identified by classical STA were not supported after inferential filtering and FDR control, indicating that all these patterns were spurious or only marginal, and confined to limited areas and edge zones. The reconstructed seasonal trend curves were consistent with a longer growing season, although this inference is based on land-surface vegetation dynamics rather than direct phenological observations. The long-term ecological consequences of these changes in seasonal vegetation activity will hinge on the interactions among warming, rising water demand, and potential disturbance regimes under future climatic conditions. Full article

Background: Medication adherence is a major determinant of treatment effectiveness in psychiatric care and is influenced by patients’ attitudes toward medication and beliefs about treatment. Objective: This study aimed to evaluate medication adherence, drug attitudes, and beliefs about medicines, and to examine their relationships in the study population. Methods: A total of 300 participants were assessed using the Medication Adherence Rating Scale (MARS), Drug Attitude Inventory-10 (DAI-10), and Beliefs about Medicines Questionnaire (BMQ-General and BMQ-Specific). Descriptive statistics, independent-samples t-tests, Pearson correlation analyses, and multiple linear regression were performed. Results: The mean DAI-10 score was 3.57 ± 3.44, indicating an overall positive attitude toward medication, although 27.33% of participants had neutral or negative attitudes. The mean MARS score was 6.27 ± 2.24, suggesting moderate adherence. Mean BMQ-General and BMQ-Specific scores were 21.70 ± 5.81 and 31.64 ± 6.13, respectively. Significant gender differences were found across all scales. DAI-10 was positively correlated with MARS, while BMQ-General was negatively correlated with MARS. Multiple regression showed that DAI-10, BMQ-General, and BMQ-Specific significantly predicted MARS scores, explained 30.8% of variance after adjustment. Conclusions: Medication adherence was moderate and was significantly associated with treatment attitudes and beliefs about medicines. The findings support multidimensional assessment and targeted interventions addressing both positive attitudes and negative medication beliefs. Full article

It is well-known that activation functions are crucial in determining spectral expressiveness, training dynamics, and reconstruction accuracy in implicit neural representations (INRs), which employ coordinate-based multilayer perceptrons to represent continuous signals. Despite showing excellent performance, sinusoidal activations, for example SIREN, are limited in their adaptability to diverse signal types due to their fixed harmonic structure. In this paper, we propose two novel periodic activation functions for INRs. (1) Harmonic generalizes sinusoidal activations by combining the fundamental frequency with learned second and third harmonics through per-neuron trainable amplitude coefficients, resulting in a richer spectral basis within the SIREN initialization framework. (2) PM-FINER (Phase-Modulated FINER) extends the variable-periodic FINER activation by embedding frequency modulation synthesis directly into the instantaneous phase, enabling data-driven phase distortion via a learnable modulation index and carrier ratio. We conducted comprehensive experiments spanning nine architectural configurations (including SIREN, WIRE, FINER, Gaussian, Harmonic, PM-FINER, and an additional direct comparison against the Subtractive Modulative Network (SMN)), using six natural images, three learning rate schedulers, and three random seeds, totaling 486 main training runs (534 runs total including an ${\omega }_0$ sensitivity sweep). Our evaluation combined peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and rigorous statistical analysis, such as paired t-tests, Wilcoxon signed-rank tests, Cohen’s d effect sizes, and Friedman rank tests. Under cosine annealing, Harmonic achieves a mean PSNR gain of 6.08 dB over SIREN and 2.57 dB over FINER (both $p<0.001$, Cohen’s $d>3.7$), while PM-FINER ranks statistically on par with Harmonic (mean difference $0.17$ dB, $p=0.36$), outperforming all of the other baselines. Compared with SMN, Harmonic outperforms it by $+7.94$ dB under cosine annealing (Bonferroni-adjusted $p<{10}^{-5}$, Cohen’s $d=12.3$), winning on all six images. Additionally, the Friedman ranking across the six images confirmed Harmonic (with mean rank $=1.33$) and PM-FINER (with mean rank $=1.67$), being the top two methods under cosine annealing. Our results establish interpretable multi-harmonic and phase-modulated activations as real alternatives to the existing INR activation functions. Full article