Search Results (298)

The COVID-19 pandemic precipitated unprecedented social isolation measures, profoundly disrupting daily life, educational routines, and mental health worldwide. University students, already susceptible to psychological distress, encountered intensified challenges under remote learning and prolonged confinement. This longitudinal study examined fluctuations in anxiety and mood among 102 Brazilian university students during the pandemic, distinguishing between those solely engaged in academic pursuits and those simultaneously balancing work and study. Data collected via the Brunel Mood Scale and State-Trait Anxiety Inventory in April and July 2021 revealed that students exclusively focused on studies exhibited significant increases in depressive symptoms, anger, confusion, and anxiety, alongside diminished vigor. Conversely, participants who combined work and study reported reduced tension, fatigue, confusion, and overall mood disturbance, coupled with heightened vigor across the same period. Notably, women demonstrated greater vulnerability to anxiety and mood fluctuations, with socioeconomic disparities particularly pronounced among females managing dual roles, who reported lower family income. These findings suggest that occupational engagement may serve as a protective factor against psychological distress during crises, underscoring the urgent need for tailored mental health interventions and institutional support to mitigate the enduring impacts of pandemic-related adversities on the student population. Full article

Frequency-hopping multiple access is widely adopted to blunt narrow-band jamming and limit spectral disclosure in cyber–physical systems, yet its practical resilience depends on three sequence-level properties. First, balancedness guarantees that every carrier is occupied equally often, removing spectral peaks that a jammer or energy detector could exploit. Second, a wide gap between successive hops forces any interferer to re-tune after corrupting at most one symbol, thereby containing error bursts. Third, a no-hit zone (NHZ) window with a zero pairwise Hamming correlation eliminates user collisions and self-interference when chip-level timing offsets fall inside the window. This work introduces an algebraic construction that meets the full set of requirements in a single framework. By threading a permutation over an integer ring and partitioning the period into congruent sub-blocks tied to the desired NHZ width, we generate balanced wide gap no-hit zone frequency-hopping (WG-NHZ FH) sequence sets. Analytical proofs show that (i) each sequence achieves the Lempel–Greenberger bound for auto-correlation, (ii) the family and zone sizes satisfy the Ye–Fan bound with equality, (iii) the hop-to-hop distance satisfies a provable WG condition, and (iv) balancedness holds exactly for every carrier frequency. Full article

The COVID-19 pandemic has exposed and intensified structural tensions surrounding work−life balance, precarity, and gender inequalities in academia. This paper examines the spatial, temporal, and emotional disruptions experienced by early-career and precarious researchers in Italy during the first national lockdown (March–April 2020) and their engagement in remote academic work. Adopting an exploratory and qualitative approach, the study draws on ten narrative video interviews and thirty participant-generated images to investigate how structural dimensions—such as gender, class, caregiving responsibilities, and the organizational culture of the neoliberal university—shaped these lived experiences. The findings highlight the implosion of boundaries between paid work, care, family life, and personal space and how this disarticulation exacerbated existing inequalities, particularly for women and caregivers. By interpreting both visual and narrative data through a sociological lens on gender, work, and organizations, the paper contributes to current debates on the transformation of academic labor and the reshaping of temporal work regimes through the everyday use of digital technologies in contemporary neoliberal capitalism. It challenges the individualization of discourses on productivity and flexibility and calls for gender-sensitive, structurally informed policies that support equitable and sustainable transitions in work and family life, in line with European policy frameworks. Full article

Sustainable building design is significantly impacted by the local climate response knowledge ingrained in traditional architecture. However, its integration and dissemination with contemporary green technologies are limited by the absence of a comprehensive quantitative analysis of the regulation of its humid and temperature environment. The Ganzhou Wei family compound from China’s wind–heat environmental regulation systems are examined in this study. We statistically evaluate the synergy between spatial morphology, material qualities, and microclimate using field data with Thsware and Ecotect software in a multiscale simulation framework. The findings indicate that the compound’s special design greatly controls the thermal and wind conditions. Cold alleyways and courtyards work together to maximize thermal environment regulation and encourage natural ventilation. According to quantitative studies, courtyards with particular depths (1–4 m) and height-to-width ratios (e.g., 1:1) reduce wind speed loss. A cool alley (5:1 height–width ratio) creates a dynamic wind–speed–temperature–humidity balance by lowering summer daytime temperatures by 2.5 °C. It also serves as a “cold source area” that moderates temperatures in the surrounding area by up to 2.1 °C. This study suggests a quantitative correlation model based on “spatial morphology–material performance–microclimate response,” which offers a technical route for historic building conservation renovation and green renewal, as well as a scientific foundation for traditional buildings to maintain thermal comfort under low energy consumption. Although based on a specific geographical case, the innovative analytical methods and strategies of this study are of great theoretical and practical significance for promoting the modernization and transformation of traditional architecture, low-carbon city construction, and sustainable building design. Full article

Addressing the growing demand for affordable housing requires innovative solutions that strike a balance between cost efficiency and user-specific needs. Mass customization (MC) presents a promising approach that enables the creation of tailored housing solutions on a scale. In this context, this study introduces a model for mass customization of affordable single-family housing units in the city of Teresina, PI, Brazil. Our approach integrates algorithmic–parametric modeling and BIM technologies, facilitating the flow of information and enabling informed decision-making throughout the design process. Since the early design stages, the work has assumed that these integrated technologies provide real-time control over design variables and associated construction data. To develop the model, the method proceeded through the following phases: (1) analysis of the context and definition of the design language; (2) definition of the design process; (3) definition of the cost calculation method and estimation of construction time; (4) definition of the computing model based on the specified technologies; and (5) quantitative and qualitative evaluation of the computational model. As a result, this research aims to contribute to the state-of-the-art by formalizing the knowledge generated through the systematic description of the processes involved in this workflow, with a special focus on the Brazilian context, where the issue of social housing is a critical challenge. Full article

Farming is a uniquely demanding occupation, with family and work often deeply intertwined. Whilst this integration is common amongst the agricultural sector in Ireland (99.7% farms classified as family), it can lead to a conflict of responsibilities, but this has not been examined to date. Therefore, this study aimed to examine work–family conflict (WFC) in farmers in Ireland, and if WFC differs based on socio-demographic factors, mental health, social support and farm-specific stressors. A cross-sectional study examined WFC in 446 farmers in Ireland. Depression, anxiety, stress, suicidality, general mental health, psychological flexibility, cognitive fusion, self-experience, perceived social support, farm stress and attachment were also measured. Participants reported moderately high levels of WFC (25.1 ± 7.2). Being younger, male, having children aged 5 years or less, higher reported working hours on the farm, higher farm-specific stressors, and lower psychological flexibility contributed to higher WFC. In addition, lower social support, mental health and psychological skills were significantly associated with higher WFC. Future research should consider the integrated nature of work and family in farm life and use a qualitative approach to further understand gendered experiences of WFC. Full article

Background/Objectives: This study aimed to explore how stressors and facilitators within the work–family interface (WFI) influence mental health outcomes among farming women in rural Chile. The research sought to identify key relational patterns and contextual determinants shaping psychological well-being in this population. Methods: An exploratory mixed-methods design was employed, involving 41 semi-structured interviews analyzed using grounded theory. Qualitative themes were quantified by calculating the percentage of occurrence per interview, allowing for comparative analysis. Pearson correlation and principal component analysis (PCA) were used to examine associations among WFI dimensions and mental health-related variables. Results: Strong and statistically significant correlations emerged between institutional and community facilitators (r = 0.664, p < 0.01) and between gender facilitators and family workload stressors (r = 0.609, p < 0.01). PCA revealed two distinct patterns: women who rely on institutional support often resist traditional family roles, while others find balance through familial support systems. The gendered distribution of caregiving and productive tasks was a key factor in psychological well-being, with some women reporting physical discomfort linked to triple workloads. Conclusions: The dynamics of the WFI in rural contexts are shaped by both sociocultural and institutional factors. The findings highlight the need for culturally sensitive mental health policies that acknowledge and respond to the lived experiences of farming women. Full article

This work proposes a systematic study of different computational schemes for fluorine Nuclear Magnetic Resonance (¹⁹F NMR) chemical shifts, with special emphasis placed on the basis set issue. This study encompasses two stages of calculation, namely, the development of the computational schemes for the geometry optimization of fluorine compounds and the NMR chemical shift calculations. In both stages, the performance of different density functional theory functionals is considered against the method of coupled-cluster singles and doubles (CCSD), with the latter representing a theoretical reference in this work. This exchange-correlation functional study is accompanied with a basis set study in both stages of calculation. Basis sets of different families, sizes, and valence-splitting levels are considered. Various locally dense basis sets (LDBSs) are proposed for the calculation of ¹⁹F NMR chemical shifts, and their performance is assessed by comparison of the calculated chemical shifts with both theoretical and experimental reference data. Overall, the pcS-3/pcS-2 LDBS scheme is recommended as the most balanced locally dense basis set scheme for fluorine chemical shift calculations. Full article

Inverse Laplace transforms (ILTs) are fundamental to a wide range of scientific and engineering applications—from diffusion NMR spectroscopy to medical imaging—yet their numerical inversion remains severely ill-posed, particularly in the presence of noise or sparse data. The primary objective of this study is to develop robust and efficient numerical methods that improve the stability and accuracy of ILT reconstructions under challenging conditions. In this work, we introduce a novel family of Kaczmarz-based ILT solvers that embed advanced regularization directly into the iterative projection framework. We propose three algorithmic variants—Tikhonov–Kaczmarz, total variation (TV)–Kaczmarz, and Wasserstein–Kaczmarz—each incorporating a distinct penalty to stabilize solutions and mitigate noise amplification. The Wasserstein–Kaczmarz method, in particular, leverages optimal transport theory to impose geometric priors, yielding enhanced robustness for multi-modal or highly overlapping distributions. We benchmark these methods against established ILT solvers—including CONTIN, maximum entropy (MaxEnt), TRAIn, ITAMeD, and PALMA—using synthetic single- and multi-modal diffusion distributions contaminated with 1% controlled noise. Quantitative evaluation via mean squared error (MSE), Wasserstein distance, total variation, peak signal-to-noise ratio (PSNR), and runtime demonstrates that Wasserstein–Kaczmarz attains an optimal balance of speed (0.53 s per inversion) and accuracy (MSE = $4.7\times {10}^{-8}$), while TRAIn achieves the highest fidelity (MSE = $1.5\times {10}^{-8}$) at a modest computational cost. These results elucidate the inherent trade-offs between computational efficiency and reconstruction precision and establish regularized Kaczmarz solvers as versatile, high-performance tools for ill-posed inverse problems. Full article

In the pursuit of scalable optimization strategies for neural networks, this study addresses the computational challenges posed by SHAP-informed learning methods introduced in prior work. Specifically, we extend the SHAP-based optimization family by incorporating two existing approximation methods, C-SHAP and FastSHAP, to reduce training time while preserving the accuracy and generalization benefits of SHAP-based adjustments. C-SHAP leverages clustered SHAP values for efficient learning rate modulation, while FastSHAP provides rapid approximations of feature importance for gradient adjustment. Together, these methods significantly improve the practical usability of SHAP-informed neural network training by lowering computational overhead without major sacrifices in predictive performance. The experiments conducted across four datasets—Breast Cancer, Ames Housing, Adult Census, and California Housing—demonstrate that both C-SHAP and FastSHAP achieve substantial reductions in training time compared to original SHAP-based methods while maintaining competitive test losses, RMSE, and accuracy relative to baseline Adam optimization. Additionally, a hybrid approach combining C-SHAP and FastSHAP is explored as an avenue for further balancing performance and efficiency. These results highlight the feasibility of using feature-importance-based guidance to enhance optimization in neural networks at a reduced computational cost, paving the way for broader applicability of explainability-informed training strategies. Full article

Superaustenitic stainless steels (SASSs) are one of the families of high-performance stainless steels, the so-called “super” grades. While sharing the face-centered cubic lattice structure typical of standard austenitic stainless steels, their chemical composition is significantly more complex. This enables them to offer an exceptional balance of superior corrosion resistance and high mechanical strength. However, the intricate chemical makeup of SASSs brings challenges, such as the phenomenon of segregation and precipitation of deleterious intermetallics. Consequently, this leads to several challenges in their processing and use. This work aims to present SASSs in detail, starting from their chemistry and metallurgy and ending with processing and applications. Hence, the first part will be dedicated to the analysis of chemistry, resulting grades, microstructure and secondary phases along with the conditions determining their formation. Afterwards, physical, mechanical and corrosion resistance characteristics will be set forth in such a way as to understand their origin and implications for processing and possible uses, with a focus on processability limitations. In fact, manufacturing and processing options significantly affect the types of products that can be developed, and, when considered alongside material attributes and costs, they help define the target markets for these alloys. Full article

This study investigates how the timing of self-employment relative to first childbirth shapes long-term entrepreneurial outcomes among Israeli mothers. Drawing on rich administrative panel data from the Israeli National Insurance Institute (N = 73,141 woman-years), we follow a cohort of women who gave birth for the first time in 2010, tracking their employment trajectories over 15 years (2005–2019). Using random-effect logistic regressions, OLS models, and fixed subgroup analyses, this study compares women who entered self-employment before childbirth with those who did so afterward. The results reveal that postnatal entrants are more likely to operate smaller businesses and exit self-employment earlier, yet often earn higher income from wage employment, compared to their prenatal counterparts. By tracing these outcomes over time, this study demonstrates how key life events, such as childbirth, structure women’s employment paths and contribute to differentiated patterns of labor market participation. Situated in a context of near-universal motherhood and limited public support for working parents, the findings offer insight into the dynamic links between family formation, employment timing, and entrepreneurial sustainability. By adopting a life-course perspective, this study demonstrates how the sequencing of family and employment transitions intersect to shape access to economic resources and entrepreneurial sustainability. Full article

Work–family conflict (WFC) is a common issue faced by employees balancing work and family roles, but research exploring individual strategies to reduce its negative effects has been limited. Leaders’ positive humor is a mutually (leader–subordinates) amusing communication tool in the workplace. It has been shown to enhance peer relationships (coworker socializing (CWS)) and may serve as an effective coping mechanism that mitigates the adverse effects of workplace stress (work–family conflict). This study strives to examine the relationship between leaders’ positive humor (LPH) and work–family conflict (WFC), with coworker socializing (CWS) mediating this relationship and sensitivity to favorable interpersonal treatment (SFIT) moderating the relationship between leaders’ positive humor and coworker socializing in the tourism and hospitality industry. The research addresses a significant gap in previous studies by investigating these variables together. A total of 387 valid questionnaires were collected from employees of five-star hotels and tourism organizations in Egypt. This study employed PLS-SEM to analyze the data. The results showed that leaders’ positive humor negatively impacts work–family conflict, positively influences coworker socializing and that coworker socializing negatively affects work–family conflict. Additionally, coworker socializing mediated the association between leaders’ positive humor and work–family conflict, and sensitivity to favorable interpersonal treatment moderated the relationship between leaders’ positive humor and coworker socializing. This study provides theoretical and practical insights by validating the proposed model based on the Stimulus–Organism–Response (S-O-R) framework and the Conservation of Resources (COR) theory. Regarding practical implications, the study recommends leadership training on the effective use of humor to foster follower socialization and promote work–family balance. Full article

This study explores the effects of husbands’ post-infidelity behaviors on wives’ forgiveness from a gender perspective. The study employs a longitudinal research design and hermeneutic phenomenology to investigate the wives’ forgiveness potential paths/experiences after their husband’s infidelity. It involves 15 years of in-depth interviews with five wives who had encountered their husbands’ infidelity, with three to six interviews per participant. The findings reveal that husbands’ post-infidelity behaviors are associated with power dynamics in the marriage. At the same time, pressures from culture, gender roles, and social expectations lead wives to adopt “pseudo-forgiveness.” The study proposes two pathways to “genuine forgiveness” for wives. The path includes phases of “Her Rethinking,” leading to the “Balance Marital Relationship and Non-Self-Sacrifice stage.” For low-power-in-relationship wives, the path comprises stages such as “Her Awakening,” “Challenge Women’s Roles in Social Expectations,” and “Take Actions to Enhance Her Power/Ability,” ending in “Balance Marital Roles and Self-Realization.” Both pathways emphasize that forgiveness is a personal decision-making process and that empowerment and enhanced wives’ ability are essential for achieving “genuine forgiveness.” These findings can contribute to marriage and family work and welfare services, helping wives and professionals understand the types and processes of forgiveness and better navigate complex challenges related to marital infidelity. Full article

This study explores homework practices and perceptions among Slovenian fourth-grade students and their parents, using data from PIRLS 2021 and national additions. Homework remains a contentious topic, often debated in terms of necessity and impact. The study examines the degree of parental involvement in their children’s homework, focusing on its association with family socioeconomic status (SES) and students’ reading achievement, as well as the students’ attitudes towards homework. A mixed-methods approach was employed, combining quantitative analyses from reading tests and contextual questionnaires with qualitative insights from open-ended parental responses. The results show that most Slovenian parents actively assist their children with homework, yet frequent involvement correlates with lower reading scores, potentially reflecting increased support for struggling students. Parental motivations emphasize educational purposes, such as reinforcement of knowledge and monitoring progress, and developmental goals like fostering work habits and confidence. Among students, attitudes towards homework are generally positive, with many acknowledging its instructional benefits. However, a significant portion find homework boring or excessive, which negatively correlates with achievement. The study highlights disparities linked to SES, with students from higher SES families demonstrating greater independence and more favorable attitudes. These findings underscore the need for balanced homework practices that consider quality over quantity, individualization in design, and collaborative communication with parents. Implications for policy include fostering autonomy and reducing SES-based inequalities. Full article