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Sustaining up-to-date land registers in the global south is an increasing concern for the protection of tenure, development of land markets and long-term sustainable planning practices and policy. It requires both the prompt reporting of land transfers and also an alignment between prevailing land rights and official recording systems. The literature on land registration highlights some effects of inheritance practices on the land register and land development. Taking these studies a step further, our research investigates how such effects evolve from the rules that guide inheritance practices using a qualitative research approach. We found that normative practices of inheritance mostly lead to communal property through numerous processes which have implications on the timing and likelihood of possible registration. Also, we found that the significance of land and buildings in the social context transcends the physical property per se and includes dimensions of spirituality and social identity. Our findings explain the misalignment between the official and social logics of property and suggest likelihood of non-reporting. We conclude that flexibility is required in recording communal rights in rural areas and that the transition to individual property is more likely in peri-urban and urban areas where the social logics of property have broken.

This article explores the role of women's inheritance and ownership of property in urban Senegal. It shows how being able to inherit and own property promotes the economic and emotional security of widows and their children in urban areas, and discusses the challenges posed by legal pluralism in working on poverty alleviation and social protection in the city.

InOut of Love for My Kin, Amy Livingstone examines the personal dimensions of the lives of aristocrats in the Loire region of France during the eleventh and twelfth centuries. She argues for a new conceptualization of aristocratic family life based on an ethos of inclusion. Inclusivity is evident in the care that medieval aristocrats showed toward their families by putting in place strategies, practices, and behaviors aimed at providing for a wide range of relatives. Indeed, this care-and in some cases outright affection-for family members is recorded in the documents themselves, as many a nobleman and woman made pious benefactions \"out of love for my kin.\" In a book made rich by evidence from charters-which provide details about life events including birth, death, marriage, and legal disputes over property-Livingstone reveals an aristocratic family dynamic that is quite different from the fictional or prescriptive views offered by literary depictions or ecclesiastical sources, or from later historiography. For example, she finds that there was no single monolithic mode of inheritance that privileged the few and that these families employed a variety of inheritance practices. Similarly, aristocratic women, long imagined to have been excluded from power, exerted a strong influence on family life, as Livingstone makes clear in her gender-conscious analysis of dowries, the age of men and women at marriage, lordship responsibilities of women, and contestations over property. The web of relations that bound aristocratic families in this period of French history, she finds, was a model of family based on affection, inclusion, and support, not domination and exclusion.

This article analyzes the practice of inheritance carried out by the community in Bantan District of Bengkalis Regency Based on Islamic Law. The practice is based on their understanding of the very limited law of inheritance of Islam, resulting in misunderstandings that result in errors in inheritance practices. The approach and method is the sociological law study that collects the data by interviewing the responden. Data were analyzed by qualitative and inductive method. The results of the analysis in this article show that 1) people in Kecamatan Bantan was wrong in understanding the principle of balanced justice which is considered to be contrary to the sense of justice for the heirs. They understand the principle of balanced justice should be in the same sense. Yet the meaning of the principle is that each heir of both men and women have equal rights in the acquisition of inheritance rights. Men get more rights not mean unfair, but in Islamic law determines that men are responsible for family burden. 2) Communities in Bantan District in understanding radd in Islamic law do not fully refer to Islamic Law Compilation (KHI) which become the reference in the determination of law. They divide radd only on the basis of customs that can be distributed to desirous heirs or mosques. 3) Communities in Bantan District consider that the heirs who died prior to the heirs can not be replaced by the heirs' children. Whereas based on Article 185 paragraph (1) KHI the heir position can be replaced by the offspring both men and women.

This article adds to the debate about women’s relations with business, finance and accounting by discussing the economic and social position of women in Milan, Italy during the industrialization era. The work utilizes the act of succession (probate records), a source extensively used in the Anglophone literature, and provides detailed information about the amount, distribution and concentration of female (and male) property. The findings are discussed in the light of many similar studies carried out in Common law countries, and the way the “egalitarian” legal context of a Roman law country affected women’s position as wealth holders is commented upon. The legal right to property was important, but not sufficient to grant Italian women equal access to it. This examination of inheritance practices shows that culture, custom and, most of all, the male dominated Catholic religion curbed women’s ability to accumulate wealth.

Polygenic risk scores (PRSs) aggregate the many small effects of alleles across the human genome to estimate the risk of a disease or disease-related trait for an individual. The potential benefits of PRSs include cost-effective enhancement of primary disease prevention, more refined diagnoses and improved precision when prescribing medicines. However, these must be weighed against the potential risks, such as uncertainties and biases in PRS performance, as well as potential misunderstanding and misuse of these within medical practice and in wider society. By addressing key issues including gaps in best practices, risk communication and regulatory frameworks, PRSs can be used responsibly to improve human health. Here, the International Common Disease Alliance’s PRS Task Force, a multidisciplinary group comprising expertise in genetics, law, ethics, behavioral science and more, highlights recent research to provide a comprehensive summary of the state of polygenic score research, as well as the needs and challenges as PRSs move closer to widespread use in the clinic. As polygenic risk scores move closer to widespread clinical use, this Perspective summarizes the benefits, risks and challenges to be overcome.

Research Summary: This paper develops an inheritance theory explaining the diffusion and persistence of detrimental management practice. Received wisdom, in both management theory and practice, would suggest that a practice that lowers the life expectancy of adopting firms, over time, will vanish because it puts those firms at a competitive disadvantage. In this paper, I challenge this view. I develop a conceptual model that details how a practice that lowers the survival chances of adopting organizations may still spread and continue to exist across a population of firms. I propose that a combination of three basic conditions is sufficient to bring about this phenomenon: if the practice is somehow associated with success, if there exists causal ambiguity, and if the rate of its diffusion is high compared with the rate at which it accelerates firms' demise, the practice may continue to thrive and become a widespread and persistent feature in an industry. A pivotal conceptual insight is that the endurance of particular management practices and strategies is not merely a corollary of the competitiveness of the organizations that use them but that they have fitness levels of their own. Managerial Summary: All organizations have \"best practices\": habits that they have picked up in the past or mimicked from others. Managers often believe that these must be the best ways of doing things, because otherwise market forces would have eliminated them. The theory in the paper explains why this belief may be wrong. Some enduring practices may be harmful without managers realizing it because it is not necessarily the most optimal practices that survive (just like harmful viruses persist in nature). As a corollary, the paper discusses how the identification and cessation of detrimental practices can form a new source of and way to understand innovation.

A polygenic score (PGS) or polygenic risk score (PRS) is an estimate of an individual’s genetic liability to a trait or disease, calculated according to their genotype profile and relevant genome-wide association study (GWAS) data. While present PRSs typically explain only a small fraction of trait variance, their correlation with the single largest contributor to phenotypic variation—genetic liability—has led to the routine application of PRSs across biomedical research. Among a range of applications, PRSs are exploited to assess shared etiology between phenotypes, to evaluate the clinical utility of genetic data for complex disease and as part of experimental studies in which, for example, experiments are performed that compare outcomes (e.g., gene expression and cellular response to treatment) between individuals with low and high PRS values. As GWAS sample sizes increase and PRSs become more powerful, PRSs are set to play a key role in research and stratified medicine. However, despite the importance and growing application of PRSs, there are limited guidelines for performing PRS analyses, which can lead to inconsistency between studies and misinterpretation of results. Here, we provide detailed guidelines for performing and interpreting PRS analyses. We outline standard quality control steps, discuss different methods for the calculation of PRSs, provide an introductory online tutorial, highlight common misconceptions relating to PRS results, offer recommendations for best practice and discuss future challenges. In this review, the authors present comprehensive guidelines for performing and evaluating PRS analyses. This is accompanied by an introductory online tutorial that takes users through quality control and visualization steps.

Polygenic risk scores (PRSs), which often aggregate results from genome-wide association studies, can bridge the gap between initial discovery efforts and clinical applications for the estimation of disease risk using genetics. However, there is notable heterogeneity in the application and reporting of these risk scores, which hinders the translation of PRSs into clinical care. Here, in a collaboration between the Clinical Genome Resource (ClinGen) Complex Disease Working Group and the Polygenic Score (PGS) Catalog, we present the Polygenic Risk Score Reporting Standards (PRS-RS), in which we update the Genetic Risk Prediction Studies (GRIPS) Statement to reflect the present state of the field. Drawing on the input of experts in epidemiology, statistics, disease-specific applications, implementation and policy, this comprehensive reporting framework defines the minimal information that is needed to interpret and evaluate PRSs, especially with respect to downstream clinical applications. Items span detailed descriptions of study populations, statistical methods for the development and validation of PRSs and considerations for the potential limitations of these scores. In addition, we emphasize the need for data availability and transparency, and we encourage researchers to deposit and share PRSs through the PGS Catalog to facilitate reproducibility and comparative benchmarking. By providing these criteria in a structured format that builds on existing standards and ontologies, the use of this framework in publishing PRSs will facilitate translation into clinical care and progress towards defining best practice. An updated set of reporting standards for the development, interpretation and evaluation of polygenic risk scores is presented, which should aid the translation of these scores into clinical applications.

Background Recent innovations in single-cell Assay for Transposase Accessible Chromatin using sequencing (scATAC-seq) enable profiling of the epigenetic landscape of thousands of individual cells. scATAC-seq data analysis presents unique methodological challenges. scATAC-seq experiments sample DNA, which, due to low copy numbers (diploid in humans), lead to inherent data sparsity (1–10% of peaks detected per cell) compared to transcriptomic (scRNA-seq) data (10–45% of expressed genes detected per cell). Such challenges in data generation emphasize the need for informative features to assess cell heterogeneity at the chromatin level. Results We present a benchmarking framework that is applied to 10 computational methods for scATAC-seq on 13 synthetic and real datasets from different assays, profiling cell types from diverse tissues and organisms. Methods for processing and featurizing scATAC-seq data were compared by their ability to discriminate cell types when combined with common unsupervised clustering approaches. We rank evaluated methods and discuss computational challenges associated with scATAC-seq analysis including inherently sparse data, determination of features, peak calling, the effects of sequencing coverage and noise, and clustering performance. Running times and memory requirements are also discussed. Conclusions This reference summary of scATAC-seq methods offers recommendations for best practices with consideration for both the non-expert user and the methods developer. Despite variation across methods and datasets, SnapATAC, Cusanovich2018 , and cisTopic outperform other methods in separating cell populations of different coverages and noise levels in both synthetic and real datasets. Notably, SnapATAC is the only method able to analyze a large dataset (> 80,000 cells).