Crops of the West African Semi-Arid Tropics

This review deals with three aspects, i.e., ecology, cultivation, and diseases and pests, of 23 crops which are grown in the West African Semi-Arid Tropics. These crops form six groups: cereals, legumes, roots and tubers, vegetables, fibres, and other crops. The review no doubt has many errors. For these I express my apologies and hope that they would be brought to my attention so that correction can be made

Data sharing and re-use in the traumatic stress field: An international survey of trauma researchers

Background: The FAIR data principles aim to make scientific data more Findable, Accessible, Interoperable, and Reusable. In the field of traumatic stress research, FAIR data practices can help accelerate scientific advances to improve clinical practice and can reduce participant burden. Previous studies have identified factors that influence data sharing and re-use among scientists, such as normative pressure, perceived career benefit, scholarly altruism, and availability of data repositories. No prior study has examined researcher views and practices regarding data sharing and re-use in the traumatic stress field. Objective: To investigate the perspectives and practices of traumatic stress researchers around the world concerning data sharing, re-use, and the implementation of FAIR data principles in order to inform development of a FAIR Data Toolkit for traumatic stress researchers. Method: A total of 222 researchers from 28 countries participated in an online survey available in seven languages, assessing their views on data sharing and re-use, current practices, and potential facilitators and barriers to adopting FAIR data principles. Results: The majority of participants held a positive outlook towards data sharing and re-use, endorsing strong scholarly altruism, ethical considerations supporting data sharing, and perceiving data re-use as advantageous for improving research quality and advancing the field. Results were largely consistent with prior surveys of scientists across a wide range of disciplines. A significant proportion of respondents reported instances of data sharing and re-use, but gold standard practices such as formally depositing data in established repositories were reported as infrequent. The study identifies potential barriers such as time constraints, funding, and familiarity with FAIR principles. Conclusions: These results carry crucial implications for promoting change and devising a FAIR Data Toolkit tailored for traumatic stress researchers, emphasizing aspects such as study planning, data preservation, metadata standardization, endorsing data re-use, and establishing metrics to assess scientific and societal impact

Sierra Leone fish value chain analysis with special emphasis on Tonkolili District

The USAID-funded Sierra Leone Feed the Future (FtF) Agriculture Project implemented by WorldFish has completed its initial pilot phase (July 2015 to September 2016). During this phase, the project identified and tested interventions to develop integrated agriculture-aquaculture (IAA) farming systems and associated value chains to enhance food, nutrition and livelihood outcomes for rural households in Tonkolili District. This project emphasizes rehabilitation and improvement of fish and rice farming systems combined with nutritious vegetable crops. The assessment of existing fish and rice value chains in Sierra Leone was a key component of this initial phase to improve understanding of current farming systems and identify opportunities for interventions to increase productivity and income and improve nutrition among rural households in Tonkolili District. This report presents the key findings of the fish value chain assessment, with an emphasis on the development of the aquaculture sector and recommendations for potential value chain interventions in marine and freshwater fisheries and aquaculture sectors

Genetic diversity within the genus Cynotilapia and its phylogenetic position among Lake Malawi’s mbuna cichlids

Cynotilapia’s unicuspid teeth, a unique character used to delineate it from all other mbuna genera, leaves evolutionary biologists wondering which is the closest relative to this genus among mbuna cichlids. This genus has only two described species out of the 10-13 species/taxa, whereby theundescribed taxa are either known by their colouration or place where they occur. AFLP genetic marker was used to determine the phylogenetic position of Cynotilapia among the mbuna and also the genetic diversity within this genus. Nei’s genetic distance, frequency of polymorphic loci and averageheterozygosity were used to unravel the genetic diversity. The neighbour-joining (NJ) dendrogram revealed that the genus Maylandia is the closest relative to Cynotilapia. Genetic distances were higher among all pairs of undescribed taxa than between the two species (Cynotilapia afra vs. C. axelrodi). Frequency of polymorphic loci and average heterozygosity were also higher within undescribed taxa than in two species. These results, coupled with already known phenotypic differences among thesetaxa (including colour, a crucial factor in speciation through sexual selection), do provide a strong base to taxonomists who can formally describe these taxa as species. The uncovered genetic differentiationis very important for conservation of this endemic fish fauna

Rethinking energy security and services in practice: national vulnerability and three energy pathways in Tajikistan

To help answer questions about availability, accessibility, sustainability and other dimensions of energy security, the vulnerability approach concentrates the attention of policymakers on the assessment of risks associated with natural, technical, political and economic factors. This understanding, combined with a focus on energy services (e.g. lighting, heating, telecommunications, mobility, etc.) helps to prioritize actions to achieve the goal of energy security. This paper conceptualizes energy security as low vulnerability of vital energy systems and sustained provision of modern energy services. Taking Tajikistan as a case, this paper highlights key vulnerabilities including neglect of environmental conditions, insufficient energy production capacity, unreliable and expensive energy imports, dwindling power infrastructure causing technical and economic losses, inadequate transparency in the power sector, lack of regional cooperation in energy and water resources sharing, and inadequate financial resources to address these challenges. Three major proposals presented by the World Bank, the United Nations Development Program, and the Government of Tajikistan to achieve energy security in Tajikistan are evaluated. Specifically, they lack a focus on energy services and therefore overlook people's socio-cultural context and appropriate energy needs. This paper highlights energy services as critical to people’s wellbeing and socio-economic development

Application of the Gaussian mixture model in pulsar astronomy -- pulsar classification and candidates ranking for {\it Fermi} 2FGL catalog

Machine learning, algorithms to extract empirical knowledge from data, can be used to classify data, which is one of the most common tasks in observational astronomy. In this paper, we focus on Bayesian data classification algorithms using the Gaussian mixture model and show two applications in pulsar astronomy. After reviewing the Gaussian mixture model and the related Expectation-Maximization algorithm, we present a data classification method using the Neyman-Pearson test. To demonstrate the method, we apply the algorithm to two classification problems. Firstly, it is applied to the well known period-period derivative diagram, where we find that the pulsar distribution can be modeled with six Gaussian clusters, with two clusters for millisecond pulsars (recycled pulsars) and the rest for normal pulsars. From this distribution, we derive an empirical definition for millisecond pulsars as $\frac{\dot{P}}{10^{-17}} \leq3.23(\frac{P}{100 \textrm{ms}})^{-2.34}$. The two millisecond pulsar clusters may have different evolutionary origins, since the companion stars to these pulsars in the two clusters show different chemical composition. Four clusters are found for normal pulsars. Possible implications for these clusters are also discussed. Our second example is to calculate the likelihood of unidentified \textit{Fermi} point sources being pulsars and rank them accordingly. In the ranked point source list, the top 5% sources contain 50% known pulsars, the top 50% contain 99% known pulsars, and no known active galaxy (the other major population) appears in the top 6%. Such a ranked list can be used to help the future follow-up observations for finding pulsars in unidentified \textit{Fermi} point sources.Comment: 9 pages, 4 figures, accepted by MNRA

Correspondent Inferences and Consumer Decision Making

We measure individual differences in the tendency to make correspondent inference, i.e., to infer stable dispositions from the behavior of others, and show their impact on blame and guilt attributions, performance evaluations, and investment decisions. Higher accessibility of situational information helps debiasing correspondent inferences

Measurement, Consequences, and Debiasing of Correspondent Inference Making

Across consequential attributions of attitudes, ability, emotions, and morality, people make correspondent inferences-infer stable personality characteristics from others’ behavior, even when their behavior was caused by situational factors. We examined their structure and report the development and validation of an instrument measuring individual differences in the propensity to make correspondent inferences (the Neglect of External Demands-NED -scale). The instrument is internally consistent and distinct from measures of intelligence, cognitive ability, cognitive reflection, general decision making ability, preference for control, and attributional style. It predicted attributions of blame for accidental harm, the weight attributed to confessions obtained under coercion, the consideration of job difficulty in performance evaluations, and the ability to separate market and fund performance when making incentive-compatible investments. We found that making situational information accessible debiased the judgments of people most prone to make correspondent inferences

Medicinal Plant Use and Health Sovereignty: Findings from the Tajik and Afghan Pamirs

Medicinal plants are indicators of indigenous knowledge in the context of political volatility and sociocultural and ecological change in the Pamir Mountains of Afghanistan and Tajikistan. Medicinal plants are the primary health care option in this region of Central Asia. The main objective of this paper is to demonstrate that medicinal plants contribute to health security and sovereignty in a time of instability. We illustrate the nutritional as well as medicinal significance of plants in the daily lives of villagers. Based on over a decade and half of research related to resilience and livelihood security, we present plant uses in the context of mountain communities. Villagers identified over 58 cultivated and noncultivated plants and described 310 distinct uses within 63 categories of treatment and prevention. Presence of knowledge about medicinal plants is directly connected to their use

Co-Produced Research Supports Pastoralists to Pursue Transformative Social and Ecological Change in Rangelands

Over the last two decades, pastoralists and researchers have formed powerful alliances to transform how we think about and do research-with-action in rangelands. These alliances promote faster learning about problems and their potential solutions by bringing together diverse partners and their different ways of understanding important issues. They also ensure research is fully relevant to real problems, so it supports pastoralists to act on both old and new issues that they face. While these approaches can be contentious when perspectives and experiences do not align, team members are finding them transformative, if they commit to working together over the long term. Based on a long history of participatory research approaches in the social sciences, these alliances are now inter- and trans-disciplinary, spread throughout the sciences. This paper uses six case studies to explore the experience of teams who have used this research-with-action approach in the rangelands of Kenya, Tanzania, Mongolia, Tajikistan, Afghanistan, Spain and the US. These teams developed and implemented this approach not in halls of academia, but in equal pastoralist-researcher partnerships by creating full co-learning and democratized processes together. These teams then purposely built the capacity of all stakeholders to act together to promote desired change. The case studies integrate diverse knowledges at multiple scales into collective ‘learning and doing’ teams composed of pastoral peoples, policy makers, scientists, business people, and others. This process ensures a broad range of understandings and interpretations form the foundation of the actions and adaptations taken by actors across landscapes and scales. The approach contributes to the resilience of place-based social-ecological systems in rangelands by avoiding top-down, one-size-fits-all approaches. Uniting these ideas and practices has allowed research-with-action to become truly transformative, by accelerating the capacity of all stakeholders to learn and act more effectively