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The present study aims to bring out the impact of consanguinity on spontaneous pregnancy loss (SPL) and on descendants’ health, among the population of north Morocco.

Convenience sampling was used for collecting data. A questionnaire was randomly administered to 385 couples represented by either the husband, the wife or both. The study lasted for three months, from January to March 2015.

In total, 238 valid questionnaires were analysed. The results showed that the consanguinity rate was 45.23% and that most consanguineous unions were between first cousins (91%). Data analysis revealed that SPL risk was similar in consanguineous and non-consanguineous couples (OR = 1.6; IC95% = 0.9–2.9). Also, no significant difference was observed in terms of SPL type (OR = 1.6; IC95% = 0.7–3.9) and frequency (p = 0.81). However, late SPL frequency was significantly lower in consanguineous couples (p < 0.001), whereas no significant difference was registered in terms of early SPL frequency (p = 0.73). On the other hand, consanguineous couples displayed a significantly higher risk of descendants’ health disorders in comparison with non-consanguineous ones. Moreover, the consanguineous couples had a significantly higher number of children with health disorders (p < 0.001). The risk analysis also showed that consanguineous couples displayed a significantly higher risk of congenital malformations (OR = 7.23; IC95% = 3.52–14.84) and multifactorial diseases (OR = 3.72; IC95% = 1.46–9.49), but no significant difference was observed in terms of behavioural disorders risk.

The population awareness regarding the negative effects of consanguinity should be raised through education programmes and premarital, prenatal and genetic counselling services.

Due to the projected increase in the older adult population, occupational therapy providers will have an increasing role in supporting health outcomes for older adults in the coming years. The purpose of this systematic review was to determine the effectiveness of occupational interventions to promote home safety in older adults.

This systematic review followed the Preferred Reporting Items of Systematic reviews (PRISMA) guidelines. Articles were double screened by separate researchers, then exported and managed in EndNote. The Risk of Bias Table determined certainty of evidence for themes.

Three main preliminary themes were identified from the 17 included articles. Themes include multimodal interventions (n= 6), exercise interventions (n= 9) and home modifications (n = 2). None of the articles explicitly defined home safety, but distal outcomes related to safety included: increased strength, balance improvement and functional mobility.

Importantly, an absent consensus for a definition of home safety limits the results of this systematic review while at the same time providing opportunity for future research.

Exercise combined with nutrition provided the strongest intervention evidence for physical functionality. Additionally, home modifications alone may be insufficient to result in improved home safety.

An occupational therapy’s (OT) holistic approach benefits older adults through evidenced-based interventions improving home safety, independence in functional tasks and overall quality of life.

Findings provide clinicians with information on the effectiveness of interventions within the scope of OT that can be implemented within the home to promote home safety.

This research empirically establishes that the interpersonal population diversity of executive board members partly explains the differences in financial misconduct across US banks. It advances the hypothesis that heterogeneity in the composition of an interpersonal population and diverse traits of board members, originating from the prehistoric course of the exodus of Homo sapiens from East Africa tens of thousands of years ago, is an important factor explaining the effectiveness of executive board monitoring with respect to a bank engaging in financial misconduct. The underlying intuition is that population-fragmented societies, characterized by mistrust, preference heterogeneity and corruption, find it difficult to sustain collective integrity action.

Employing a panel of US banks from 1998 to 2019 we find that adding directors from countries with different levels of interpersonal population diversity is positively associated with financial misconduct as measured by enforcement and class action litigation against banks by the main regulatory agencies. Furthermore, we document that the more population-diverse bank boards are more likely to commit misconduct, consistent with a mechanism of inter-generational transmission of cultural norms of mistrust and non-cooperation.

We find that adding directors from countries with different levels of interpersonal population diversity is positively associated with financial misconduct as measured by enforcement and class action litigation against banks by the main regulatory agencies. These results are robust to controlling for bank-specific variables, including other board characteristics, and to the use of instrumental variables.

The findings suggest that reducing financial misconduct by banks likely requires reducing the interpersonal population diversity of banks’ executive boards.

We show how bank boards with different interpersonal population diversity impact the likelihood of engaging in misconduct provides evidence of the microeconomic effects of interpersonal population diversity. We show the negative results of diversity that they can have on the management of a firm given that populated diverse boards are more likely to lead to higher levels of misconduct. Our evidence reveals that banks having interpersonal population fragmented boards are more likely to commit misconduct given the cultural norms of mistrust and the lack of societal cohesiveness.

Literature has shown that the intergenerational transmission of cognitive abilities is stronger for children raised in more advantaged environments. However, there has never been an empirical investigation of this pattern in China. This study examines differences in the intergenerational transmission of cognitive capabilities among mothers and young children in urban and rural subpopulations in China and investigates whether these differences are driven by differences in parental investment in the home environment.

Data collected from randomly selected 6- to 36-month-old babies and their mothers in a Northwestern province in China was used. Child capabilities were assessed by the Bayley Scales of Infant and Toddler Development (3rd edition). Maternal intelligence quotient (IQ) scores were assessed with the Raven’s Progressive Matrices test. The non-parametric regression methods were used to construct the factor scores of child capabilities. The ordinary least squares (OLS) models were employed to investigate the relations between child cognition, maternal IQ and parental investment.

In urban households, where most children are raised in a positive home environment, child cognitive scores are strongly correlated with maternal IQ. In rural households, where parental investments are lower and more variable, child cognitive scores are not significantly correlated with maternal IQ but are predicted by differences in parental investments in a cognitively stimulating home environment.

This study provides a unique contribution by utilizing rural–urban disparities in China as a unique natural experiment to investigate differences in the transmission of cognitive capabilities across socioeconomic status (SES). It also provides the first empirical evidence of SES differences in the intergenerational transmission of cognitive capabilities in a developing country. This study reveals that intergenerational mother–child cognition associations are disrupted by poor parental investment in rural households but not in urban households.

The purpose of this paper is to meet Dr Joyce Shaffer, PhD, ABPP, Clinical Associate Professor at the University of Washington.

This case study is presented in two sections: a positive autoethnography written by Joyce Shaffer, followed by her answers to ten questions.

In this positive autoethnography, Shaffer shares her life story and reveals numerous mental health and positive aging recommendations and insights for us to reflect on.

This is a personal narrative, albeit from someone who has been a clinical psychologist and active in the field of aging for many decades.

A pragmatic approach to aging is recommended. According to Shaffer, “those of us who can recognize the beat of the historical drummer can harvest the best of it and learn from the rest of it.”

Positive aging has strong social implications. Shaffer considers that it is not only about maximizing our own physical, mental, emotional and social health but also about maximizing that of others, to make our world a better place for everyone.

Positive aging can be experienced despite adversity. As Shaffer says, “Adversity used for growth and healed by love is the answer.”

This paper examines the evolution of massive open online courses (MOOCs) literature over the past 15 years and identifies its significant developments.

Utilizing main path analysis (MPA) on a dataset of 1,613 articles from the Web of Science (WoS) databases, the authors construct the main pathway in MOOC literature through a citation analysis. Pajek software is used to visualize the 34 influential articles identified in the field.

Three phases emerge in MOOC research: connectivism as a learning theory, facilitating education reform and breaking barriers to MOOCs adoption. Multiple-Global MPA highlights sub-themes including self-regulated learning (SRL), motivation, engagement, dropouts, student performance and the impact of COVID-19.

First, data limitations from the WoS core collection might not cover all research, but using reputable sources enhances data validity. Second, despite careful algorithm selection to enhance accuracy, there remains a limitation inherent in the nature of citations. Such biased citations may result in findings that do not fully align with scholars' perspectives.

The authors' findings contribute to the understanding of MOOCs literature development, enabling educators and researchers to grasp key trends and focus areas in the field. It can inform the design and implementation of MOOCs for more effective educational outcomes.

This study presents novel methodologies and important findings for advancing research and practice in MOOCs.

This study aims to improve detection efficiency of fluorescence biosensor or a graphene field-effect transistor biosensor. Graphene field-effect transistor biosensing and fluorescent biosensing were integrated and combined with magnetic nanoparticles to construct a multi-sensor integrated microfluidic biochip for detecting single-stranded DNA. Multi-sensor integrated biochip demonstrated higher detection reliability for a single target and could simultaneously detect different targets.

In this study, the authors integrated graphene field-effect transistor biosensing and fluorescent biosensing, combined with magnetic nanoparticles, to fabricate a multi-sensor integrated microfluidic biochip for the detection of single-stranded deoxyribonucleic acid (DNA). Graphene films synthesized through chemical vapor deposition were transferred onto a glass substrate featuring two indium tin oxide electrodes, thus establishing conductive channels for the graphene field-effect transistor. Using π-π stacking, 1-pyrenebutanoic acid succinimidyl ester was immobilized onto the graphene film to serve as a medium for anchoring the probe aptamer. The fluorophore-labeled target DNA subsequently underwent hybridization with the probe aptamer, thereby forming a fluorescence detection channel.

This paper presents a novel approach using three channels of light, electricity and magnetism for the detection of single-stranded DNA, accompanied by the design of a microfluidic detection platform integrating biosensor chips. Remarkably, the detection limit achieved is 10 pm, with an impressively low relative standard deviation of 1.007%.

By detecting target DNA, the photo-electro-magnetic multi-sensor graphene field-effect transistor biosensor not only enhances the reliability and efficiency of detection but also exhibits additional advantages such as compact size, affordability, portability and straightforward automation. Real-time display of detection outcomes on the host facilitates a deeper comprehension of biochemical reaction dynamics. Moreover, besides detecting the same target, the sensor can also identify diverse targets, primarily leveraging the penetrative and noninvasive nature of light.