Diverse Resources Research Articles

Understanding the seasonal dietary patterns of the golden jackal (Canis aureus) for conservation implications in the Hirpora Wildlife Sanctuary, Western Himalayas

BackgroundWild canids form an important component of the ecosystem but are generally less studied and least prioritized for conservation. Diet is fundamental for effective management and exhibits the role of a species in an ecosystem. Golden jackal (Canis aureus, Linnaeus, 1758), a medium-sized canid species is known for opportunistic and omnivorous foraging behavior. MethodsThis research investigates the feeding ecology of golden jackals within the Hirpora Wildlife Sanctuary, Western Himalayas. From August 2020 to July 2022, trails (n = 9; 1.5–5.5 km) were walked seasonally (once per month) to collect fecal samples (n = 128) for investigation of seasonal diet composition and dietary niche breadth and biomass consumption of prey items by golden jackal. The association between the coefficient of digestibility value and food items was assessed using the Pearson correlation. We also conducted PCA to understand contribution of major dietary items. ResultsScat analysis revealed that jackals feed on both animal and plant matter. Animal matter constituted most of the diet, encompassing small mammals and domestic livestock, insects, and birds. Rodents emerge as the dominant dietary item, maintaining consistent prevalence year-round. Livestock carrion, notably domestic sheep formed a significant component across all seasons, with maximal consumption observed in summer. Notably absent from the jackals' diet were traces of threatened mountain ungulates. Domestic sheep emerged as the primary contributor (33.4 %) to the overall biomass consumed, highlighting the jackals' interaction with human-associated food resources. The research unveils an overall dietary niche breadth of 0.38, indicating a low degree of dietary diversity. Seasonal analysis indicates heightened dietary overlap in the autumn-summer transition, with rodents, domestic sheep, and birds being major contributors to this overlap. ConclusionThe findings underscore the adaptability of golden jackals to diverse food resources in a seasonal environment. This study provides foundational insights into the dietary ecology of jackal crucial for its conservation and management strategies in the ecologically fragile ecosystem. The finding gives a hint at the role jackals can play in regulating rodent populations and contributing to environmental cleanliness by scavenging.

Fuzzy logic-based particle swarm optimization for integrated energy management system considering battery storage degradation

Considering the rapidly evolving microgrid technology and the increasing complexity associated with integrating renewable energy sources, innovative approaches to energy management are crucial for ensuring sustainability and efficiency. This paper presents a novel Fuzzy Logic-Based Particle Swarm Optimization (FLB-PSO) technique to enhance the performance of hybrid energy management systems. The proposed FLB-PSO algorithm effectively addresses the challenge of balancing exploration and exploitation in optimization problems, thereby enhancing convergence speed and solution accuracy with robustness across diverse and complex scenarios. By leveraging the adaptability of fuzzy logic to adjust PSO parameters dynamically, the method optimizes the allocation and utilization of diverse energy resources within a grid-connected microgrid. Under fixed grid tariffs, the investigation demonstrates that FLB-PSO achieves grid power purchase and battery degradation costs of $1935.07 and $49.93, respectively, compared to $2159.67 and $61.43 for the traditional PSO. This results in an optimal cost of $1985.00 for FLB-PSO, leading to a cost saving of $236.09 compared to the $2221.10 of PSO. Furthermore, under dynamic grid tariffs, FLB-PSO incurs grid power purchase and battery degradation costs of $2359.20 and $64.66, respectively, in contrast to $2606.47 and $54.61 for PSO. The optimal cost for FLB-PSO is $2423.86, representing a cost reduction of $237.23 compared to the $2661.08 of PSO. The FLB-PSO algorithm proficiently manages energy sources while addressing complexities associated with battery storage degradation. Overall, the FLB-PSO algorithm outperforms traditional PSO in terms of robustness to system dynamics, convergence rate, operational cost reduction, and improved energy efficiency.

Shared use of a mass‐flowering crop drives dietary niche overlap between managed honeybees and bumblebees

Abstract Resource competition between wild pollinators and managed honeybees (Apis mellifera) has the potential to detrimentally impact insect biodiversity as well as wild plant and crop pollination. As honeybees are central place foragers, their competitive impact on wild bees is expected to be structured by hive proximity, in conjunction with foraging decisions related to landscape‐level resource availability. Yet, how these factors structure dietary niche overlap between wild bees and managed honeybees remains unclear. We conducted a field experiment in seminatural grasslands, where honeybee foraging densities and niche overlap with buff‐tailed bumblebees (Bombus terrestris) were measured at four distances (<100, 500, 1000 and 2000 m) from experimentally placed apiaries, during and after the blooming period of mass‐flowering oilseed rape (Brassica napus). We measured honeybee foraging densities using standardized transect surveys, and quantified species diet composition and dietary niche overlap from pollen samples collected from both bee species. Honeybee foraging densities were highest near apiaries and declined sharply beyond 500 m from the apiaries. However, niche overlap was unrelated to hive proximity but positively related to the availability of oilseed rape. Furthermore, there were significant inter‐ and intraspecific differences in pollen diet composition and breadth throughout the season. Synthesis and applications: Niche overlap between honeybees and bumblebees in agricultural environments was due to resource sharing of mass‐flowering oilseed rape. When both honeybees and bumblebees predominantly forage on wild plants, they maintain distinct pollen diets, suggesting there is a low risk of resource competition between these generalist taxa. Conservation actions that promote floral resource availability and diversity in agricultural landscapes are crucial to maintain niche differentiation between managed honeybees and wild bees.

Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study.

Metadata describe and provide context for other data, playing a pivotal role in enabling findability, accessibility, interoperability, and reusability (FAIR) data principles. By providing comprehensive and machine-readable descriptions of digital resources, metadata empower both machines and human users to seamlessly discover, access, integrate, and reuse data or content across diverse platforms and applications. However, the limited accessibility and machine-interpretability of existing metadata for population health data hinder effective data discovery and reuse. To address these challenges, we propose a comprehensive framework using standardized formats, vocabularies, and protocols to render population health data machine-readable, significantly enhancing their FAIRness and enabling seamless discovery, access, and integration across diverse platforms and research applications. The framework implements a 3-stage approach. The first stage is Data Documentation Initiative (DDI) integration, which involves leveraging the DDI Codebook metadata and documentation of detailed information for data and associated assets, while ensuring transparency and comprehensiveness. The second stage is Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) standardization. In this stage, the data are harmonized and standardized into the OMOP CDM, facilitating unified analysis across heterogeneous data sets. The third stage involves the integration of Schema.org and JavaScript Object Notation for Linked Data (JSON-LD), in which machine-readable metadata are generated using Schema.org entities and embedded within the data using JSON-LD, boosting discoverability and comprehension for both machines and human users. We demonstrated the implementation of these 3 stages using the Integrated Disease Surveillance and Response (IDSR) data from Malawi and Kenya. The implementation of our framework significantly enhanced the FAIRness of population health data, resulting in improved discoverability through seamless integration with platforms such as Google Dataset Search. The adoption of standardized formats and protocols streamlined data accessibility and integration across various research environments, fostering collaboration and knowledge sharing. Additionally, the use of machine-interpretable metadata empowered researchers to efficiently reuse data for targeted analyses and insights, thereby maximizing the overall value of population health resources. The JSON-LD codes are accessible via a GitHub repository and the HTML code integrated with JSON-LD is available on the Implementation Network for Sharing Population Information from Research Entities website. The adoption of machine-readable metadata standards is essential for ensuring the FAIRness of population health data. By embracing these standards, organizations can enhance diverse resource visibility, accessibility, and utility, leading to a broader impact, particularly in low- and middle-income countries. Machine-readable metadata can accelerate research, improve health care decision-making, and ultimately promote better health outcomes for populations worldwide.

ADVANCING SUSTAINABLE RESOURCE UTILISATION: A REVIEW OF AQUATIC BIOREFINERIES

This review explores the transformative potential of aquatic biorefineries in advancing sustainable resource utilisation. As global demands for renewable resources intensify, biorefineries have emerged as versatile solutions. Focusing on aquatic environments, this paper delves into diverse biomass resources, encompassing microorganisms, algae and aquatic plants. It navigates through key biorefinery processes, including hydrothermal liquefaction, algae cultivation and enzymatic conversion, illuminating their roles in sustainable biofuel and high-value chemical production. Thermochemical conversion processes, such as pyrolysis and gasification, offer additional pathways for bio-based product generation. The review critically assesses challenges in these processes, ranging from technical intricacies to regulatory considerations. Examining products derived from aquatic biorefineries (i.e. biofuels, chemicals and biomaterials) underscores their versatility. Looking ahead, the paper identifies technical challenges, regulatory landscapes and emerging technologies as focal points for future research. The review concludes by envisioning aquatic biorefineries as key players in sustainable resource management, advocating for research and technological innovation to propel this transformative field into the mainstream of the bio-based economy.

A Critical Pedagogy Analysis of Literature Teachers’ Perspectives on The Integration of Multicultural Literature in Higher Education

This qualitative study investigates the integration of multicultural literature within higher education classrooms, examining experiences, challenges, necessary support, and perceived impacts on students. Framed within critical pedagogy theory, the research aimed to uncover insights into the transformative potential of diverse narratives. Guided by qualitative research principles, specially descriptive phenomenology, the study employs semi-structured interviews with literature instructors selected through purposive sampling. Data collection involved multiple online platforms to facilitate candid discussions, ensuring a diverse representation of perspectives. The interview guide was rigorously developed and validated through pre-testing and expert consultation, ensuring relevance to the research objectives. Interviews were recorded and transcribed verbatim for thematic analysis, a methodical approach to identifying patterns and themes within the data. Inductive reasoning guided the analysis process, allowing for theory formulation from observed patterns. Intercoder reliability checks and member-checking techniques were employed to enhance data validity and credibility. The analysis of participant responses revealed multifaceted teaching strategies, emphasizing the significance of cultural representation, innovative approaches, and fostering cross-cultural understanding. Teachers adapt their methods to accommodate diverse student voices while leveraging technology and cultural sensitivity. This study emphasises that institutions, educators, and students collectively contribute to fostering a culturally enriched learning environment. It also contributes to inclusivity and diversity in education, cultivating cultural intelligence and a broader understanding of global perspectives. The study highlights the necessity for literature teachers to have access to diverse resources, professional development opportunities, and collaboration for effective integration. Moreover, higher education institutions are crucial in supporting this integration through curriculum enhancements, resource allocation, and adequate preparation time. Despite challenges such as limited institutional support, the personal dedication and commitment of teachers and students play a pivotal role in successfully integrating multicultural literature into educational settings. These findings provide nuanced insights into the complexities of integrating multicultural literature in higher education, contributing to educational theory, policy development, and pedagogical practices.

Close to the edge: Spatial variation in plant diversity, biomass and floral resources in conventional and agri‐environment cereal fields

Abstract Non‐crop (segetal) plants in arable systems are commonly perceived simply as ‘weeds’, that is, harmful at worst and undesirable at best. The increase in management intensity in European arable systems has vastly reduced the populations of all but the most disturbance‐tolerant plant species, negatively impacting the whole agricultural food web. In recent years, efforts have been made to promote agricultural biodiversity through measures such as flower strips and unsprayed field margins. However, studies of their impacts on the arable flora have rarely considered their spatial variation within the crop field. We investigated the spatial distribution of vascular plant species richness and their contribution to the food web via biomass and flower units in conventional and agri‐environment cereal fields in six regions of Germany. We studied two types of in‐crop measures (extensive cereals without pesticides or fertiliser, and with or without intercropping with flowering species) and one adjacent measure (neighbouring flower strip), recording at 1‐m intervals from the field edge to the interior. These results were then extrapolated to illustrate the effects of these measures on resource provision at the field scale. Species richness and plant biomass dropped off sharply after the first metre in the conventional treatments, regardless of the adjacent habitat. The ‘extensive’ treatments maintained a much higher level of diversity and resource provision in the field interior. At the field level, this can mean more than a 60‐fold difference in the provision of flowering resources between conventional management (1900 flower units/ha) and agri‐environment measures (AEMs) (127,000 units/ha for extensive cereals). Synthesis and applications. The strong edge effects we found in conventional cultivation support the premise that reducing field sizes could play a role in promoting in‐crop biodiversity. However, incorporating extensive field margins as an AEM would be more efficient at maximising the diversity of generalists whilst maintaining high yields.

Optimization of microgrid operations using renewable energy sources

Microgrids, comprising localized energy systems capable of operating independently or in conjunction with the main grid, are increasingly being recognized as vital components of modern energy infrastructure. The integration of renewable energy sources (RES) into microgrids offers significant potential for enhancing operational efficiency, sustainability, and resilience. This paper presents an overview of recent advancements and methodologies for optimizing microgrid operations utilizing renewable energy sources. The optimization of microgrid operations involves the strategic coordination and management of diverse energy resources, including solar photovoltaic (PV) systems, wind turbines, and energy storage systems (ESS). Key objectives include minimizing operational costs, reducing greenhouse gas emissions, ensuring reliable power supply, and maintaining system stability. Advanced optimization techniques, such as model predictive control (MPC), mixed-integer linear programming (MILP), and heuristic algorithms, play a crucial role in achieving these objectives by enabling the dynamic adjustment of energy generation and distribution in response to real-time conditions. A critical aspect of microgrid optimization is the accurate forecasting of renewable energy generation and load demand. Machine learning (ML) and artificial intelligence (AI) algorithms have been effectively employed to enhance prediction accuracy, thereby improving decision-making processes. Furthermore, the integration of ESS, such as batteries and flywheels, helps to address the intermittency of RES, providing a buffer that can store excess energy during periods of high generation and release it during peak demand. The implementation of demand response (DR) strategies within microgrids further contributes to optimization efforts. By incentivizing consumers to adjust their energy usage patterns in response to price signals or grid needs, DR programs help to balance supply and demand, reduce peak loads, and enhance overall grid reliability. Case studies and field implementations demonstrate the practical benefits of optimized microgrid operations. For instance, microgrids incorporating high shares of RES have been shown to achieve significant cost savings, improved energy security, and reduced environmental impacts. These successes underline the importance of ongoing research and development in optimization techniques and the need for supportive policy frameworks to facilitate the broader adoption of microgrids. In conclusion, optimizing microgrid operations using renewable energy sources presents a promising pathway toward a more sustainable and resilient energy future. Continued advancements in optimization algorithms, predictive analytics, and integrated system design are essential for unlocking the full potential of microgrids, ensuring they can effectively meet the evolving energy demands and environmental challenges of the 21st century. Keywords: Optimization, Microgrid, Operations, Renewable Energy, Energy Sources.

The Contributions of Creativity to the Learning Process within Educational Approaches for Sustainable Development and/or Ecosocial Perspectives: A Systematic Review

This systematic review identifies the contributions of creativity to learning and its integration into teaching within educational approaches with an ecosocial and/or sustainable perspective based on scientific publications in the Web of Science and SCOPUS databases, following the PRISMA methodology guidelines. This study establishes a comprehensive understanding of creativity from a sociocultural perspective and examines the relationship between creativity and educational approaches based on sustainable education. The results highlight that creativity is incorporated into teaching in a cross-cutting manner in the ideation, design, and implementation of pedagogical strategies that include diverse techniques, resources, and methodologies. Creativity contributes to learning by being multifaceted and transforming the student experience through the identification, understanding, appropriation, and applicability of concepts. Various strategies and methodologies are identified that promote creativity by involving students in collaborative and reflective processes. Creativity stimulates imagination, interdisciplinary and intercultural integration, and experimentation. The fundamental role of the teacher and the learning environment is emphasized. Finally, the need to integrate creativity into educational plans from these approaches is highlighted, fostering the adaptability to uncertainty and the generation of creative and sustainable responses. This review provides a synthesized and updated resource for teachers and individuals interested in the relationship between creativity, learning, and sustainability.

How adolescents learn to build social bonds: A developmental computational account of social explore-exploit decision-making

Building social bonds is a critical task of adolescence that affords opportunities for learning, identity formation, and social support. Failing to develop close relationships in adolescence hinders adult interpersonal functioning and contributes to problems such as loneliness and depression. During adolescence, increased reward sensitivity and greater social flexibility both contribute to healthy social development, yet we lack a clear theory of how these processes interact to support social functioning. Here, we propose synthesizing these two literatures using a computational reinforcement learning framework that recasts how adolescents pursue and learn from social rewards as a social explore-exploit problem. To become socially skilled, adolescents must balance both their efforts to form individual bonds within specific groups and manage memberships across multiple groups to maximize access to social resources. We draw on insights from sociological studies on social capital in collective networks and neurocognitive research on foraging and cooperation to describe the social explore-exploit dilemma faced by adolescents navigating a modern world with increasing access to diverse resources and group memberships. Our account provides important new directions for examining the dynamics of adolescent behavior in social groups and understanding how social value computations can support positive relationships into adulthood.

Patient and clinician perspectives of online-delivered exercise programmes for chronic musculoskeletal conditions: protocol for a mixed-methods systematic review.

Background Despite the growing economic and social impact of chronic musculoskeletal (MSK) conditions, there has been slow uptake of clinical guidelines for management, owing partly to the negative perceptions of patients and clinicians of their appropriateness and accessibility. Online-delivered exercise programmes (ODEPs) offer an alternative that can reduce costs and offer convenience for those with mobility limitations. As such, investigating participants’ perceptions of such programmes provides insight into the complexity and interplay of factors associated with uptake and optimization of implementation strategies. Objectives This study aims to systematically review the literature of patients’ and clinicians’ perceptions of ODEPs for chronic MSK conditions. Methods To ensure the likelihood of identifying all relevant published articles, the following databases will be searched from inception to end of the project: CINAHL Complete, MEDLINE, SportDiscus, AMED, APA PsycArticles, APA PsycInfo, Scopus, and Cochrane Library. Included articles will qualitatively and/or quantitatively report the perceptions of participants of ODEPs for chronic MSK conditions. ODEPs are defined as either (a) synchronous, participants can exchange information simultaneously, or (b) asynchronous, with at least one synchronous feature, or (c) neither, where the authors investigate a participant’s past experiences and/or likelihood of participating in such a programme. Article screening and quality assessment using the Critical Appraisal Skills Programme (CASP) checklists will be performed by two independent reviewers. All findings from included articles will be extracted and coded using a thematic synthesis approach. Discussion It is important to offer diverse resources to address the growing public health burden of chronic MSK conditions. This study will explore patients and clinicians’ perceptions of ODEPs including needs, appropriateness and acceptability. Our findings could be used by policy makers, clinicians, and researchers to generate new models of care that could influence the uptake and long-term sustainability of ODEPs for chronic MSK conditions. PROSPERO registration CRD42021273773.

Forecasting animal distribution through individual habitat selection: insights for population inference and transferable predictions

Habitat selection models frequently use data collected from a small geographic area over a short window of time to extrapolate patterns of relative abundance into unobserved areas or periods of time. However, such models often poorly predict the distribution of animal space‐use intensity beyond the place and time of data collection, presumably because space‐use behaviors vary between individuals and environmental contexts. Similarly, ecological inference based on habitat selection models could be muddied or biased due to unaccounted individual and context dependencies. Here, we present a modeling workflow designed to allow transparent variance‐decomposition of habitat‐selection patterns, and consequently improved inferential and predictive capacities. Using global positioning system (GPS) data collected from 238 individual pronghorn, Antilocapra americana, across three years in Utah, USA, we combine individual‐year‐season‐specific exponential habitat‐selection models with weighted mixed‐effects regressions to both draw inference about the drivers of habitat selection and predict space‐use in areas/times where/when pronghorn were not monitored. We found a tremendous amount of variation in both the magnitude and direction of habitat selection behavior across seasons, but also across individuals, geographic regions, and years. We were able to attribute portions of this variation to season, movement strategy, sex, and regional variability in resources, conditions, and risks. We were also able to partition residual variation into inter‐ and intra‐individual components. We then used the results to predict population‐level, spatially and temporally dynamic, habitat‐selection coefficients across Utah, resulting in a temporally dynamic map of pronghorn distribution at a 30 × 30 m resolution but an extent of 220 000 km2. We believe our transferable workflow can provide managers and researchers alike a way to turn limitations of traditional habitat selection models – variability in habitat selection – into a tool to understand and predict species‐habitat associations across space and time.

Exploring the distribution and co-occurrence of rpf-like genes and nitrogen-cycling genes in water reservoir sediments.

Water reservoir sediments represent a distinct habitat that harbors diverse microbial resources crucial for nitrogen cycling processes. The discovery of resuscitation promoting factor (Rpf) has been recognized as a crucial development in understanding the potential of microbial populations. However, our understanding of the relationship between microorganisms containing rpf-like genes and nitrogen-cycling functional populations remains limited. The present study explored the distribution patterns of rpf-like genes and nitrogen-cycling genes in various water reservoir sediments, along with their correlation with environmental factors. Additionally, the co-occurrence of rpf-like genes with genes associated with the nitrogen cycle and viable but non-culturable (VBNC) formation was investigated. The findings indicated the ubiquitous occurrence of Rpf-like domains and their related genes in the examined reservoir sediments. Notably, rpf-like genes were predominantly associated with Bradyrhizobium, Nitrospira, and Anaeromyxobacter, with pH emerging as the primary influencing factor for their distribution. Genera such as Nitrospira, Bradyrhizobium, Anaeromyxobacter, and Dechloromonas harbor the majority of nitrogen-cycling functional genes, particularly denitrification genes. The distribution of nitrogen-cycling microbial communities in the reservoir sediments was mainly influenced by pH and NH4 +. Notably, correlation network analysis revealed close connections between microorganisms containing rpf-like genes and nitrogen-cycling functional populations, as well as VBNC bacteria. These findings offer new insights into the prevalence of rpf-like genes in the water reservoir sediments and their correlation with nitrogen-cycling microbial communities, enhancing our understanding of the significant potential of microbial nitrogen cycling.

Clean and efficient extraction of lithium from montebrasite ore by aluminum sulfate roasting method: Thermal behavior and process optimization

Amidst the surge of Li demand, technology development for Li extraction from diverse Li resources has gained considerable interest. Montebrasite, a significant lithium ore, is distinguished by its high Li content. Despite its potential, research into its processing technologies are scarce, leading to its limited and slow industrial adoption. On this basis, a novel process combining aluminum sulfate roasting and water leaching was proposed in this study to achieve its clean and efficient utilization. Firstly, thermal behaviors of montebrasite were investigated through various characterizations. It was observed that montebrasite underwent obvious decomposition above 700 °C, and began to melt after 800 °C. The mineral phases transformed into Li3PO4, AlPO4 and Al2O3 after decomposition. Thermodynamic calculation indicated that when Al2(SO4)3 was used as roasting agent, Li+ can be entirely substituted by Al3+ to form soluble Li2SO4, while Al3+ combined with PO43− to form insoluble AlPO4, enabling selective and efficient Li extraction. The experimental results demonstrated a high agreement with thermodynamic analysis. Under the optimal conditions (roasting: 760 ℃, 1.0 h, 29.4 % Al2(SO4)3), 94.1 % Li was extracted selectively, while only 0.04 % Al and 0.3 % P entered into solution. The leach residue, primarily composed of AlPO4, SiO2, mullite and Al2O3, can be recycled for further utilization. This process offers distinct advantages over traditional salt roasting methods, including reduced reagent usage and elimination of solid waste discharge. It presents an efficient, cost-effective and environmentally benign pathway for the utilization of montebrasite.

Kongunadu: A Tapestry of History, Culture and Legacy

Kongunadu, a prominent region in Tamil Nadu, boasts a rich historical, cultural, and environmental tapestry. This synopsis delves into its multifaceted aspects, including geographical features like Kurinji, Mullai, and Marut, which contribute to its fertile land and abundant water sources. Known as the ‘country of Kongu,’ it is celebrated for producing precious beads and gems, symbolizing its wealth and natural bounty. The term 'Kongu,' originating from Sangam literature, embodies various meanings—from honey and wine to forest, fragrance, and gold—reflecting the region’s diverse resources and cultural significance. Additionally, Kongunadu serves as the eastern frontier (Kongu > Kongu), encapsulating its geographical orientation. Culturally, Kongunadu is depicted as the ‘shelter’ of the Yavanas in ancient texts, highlighting its role as a cultural melting pot and trading hub. The Northeast Monsoon, locally referred to as ‘Konga Rain,’ plays a pivotal role in the region’s agriculture and livelihoods, further shaping its socio-economic fabric.

Genomic Reference Resource for African Cattle: Genome Sequences and High-Density Array Variants

The diversity in genome resources is fundamental to designing genomic strategies for local breed improvement and utilisation. These resources also support gene discovery and enhance our understanding of the mechanisms of resilience with applications beyond local breeds. Here, we report the genome sequences of 555 cattle (208 of which comprise new data) and high-density (HD) array genotyping of 1,082 samples (537 new samples) from indigenous African cattle populations. The new sequences have an average genome coverage of ~30X, three times higher than the average (~10X) of the over 300 sequences already in the public domain. Following variant quality checks, we identified approximately 32.3 million sequence variants and 661,943 HD autosomal variants mapped to the Bos taurus reference genome (ARS-UCD1.2). The new datasets were generated as part of the Centre for Tropical Livestock Genetics and Health (CTLGH) Genomic Reference Resource for African Cattle (GRRFAC) initiative, which aspires to facilitate the generation of this livestock resource and hopes for its utilisation for complete indigenous breed characterisation and sustainable global livestock improvement.

Diverse origins of near-identical antifreeze proteins in unrelated fish lineages provide insights into evolutionary mechanisms of new gene birth and protein sequence convergence.

Determining the origins of novel genes and the genetic mechanisms underlying the emergence of new functions is challenging yet crucial for understanding evolutionary innovations. The convergently evolved fish antifreeze proteins provide excellent opportunities to investigate evolutionary origins and pathways of new genes. Particularly notable is the near-identical type I antifreeze proteins (AFPI) in four phylogenetically divergent fish taxa. This study tested the hypothesis of protein sequence convergence beyond functional convergence in three unrelated AFPI-bearing fish lineages, revealing different paths by which a similar protein arose from diverse genomic resources. Comprehensive comparative analyses of de novo sequenced genome of the winter flounder and grubby sculpin, available high-quality genome of the cunner and 14 other relevant species found that the near-identical AFPI originated from a distinct genetic precursor in each lineage. Each independently evolved a coding region for the novel ice-binding protein while retaining sequence identity in the regulatory regions with their respective ancestor. The deduced evolutionary processes and molecular mechanisms are consistent with the Innovation-Amplification-Divergence (IAD) model applicable to AFPI formation in all three lineages, a new Duplication-Degeneration-Divergence (DDD) model we propose for the sculpin lineage, and a DDD model with gene fission for the cunner lineage. This investigation illustrates the multiple ways by which a novel functional gene with sequence convergence at the protein level could evolve across divergent species, advancing our understanding of the mechanistic intricacies in new gene formation.

IMPLEMENTASI KEBIJAKAN STANDAR PELAYANAN MINIMAL (SPM) PADA PELAYANAN KESEHATAN DIABETES MELLITUS (DM) DI PUSKESMAS BIROBULI

. This research aims to describe and explain the implementation of the SPM policy in Diabetes Mellitus (DM) health services at the Birobuli Community Health Center. This research method is a qualitative descriptive research method and data collection techniques are by means of observation, interviews and documentation. This research was conducted at the Birobuli Community Health Center using a purposive selection and selection technique for informants as many as 6 (six) people. This research uses aspects used by Donald Van Meter and Carl Van Horn, namely: 1. Policy Standards and Targets 2. Resources 3. Characteristics of Implementing Organizations 4. Communication between Implementing Organizations 5. Attitudes of Implementers 6. Social, Economic and Environmental Environments Political. Based on the results of research and discussion, standard variables and SPM policy targets for DM sufferers at the Bureaubuli Community Health Center still reached 80.13%, this figure has not yet reached the target set in Minister of Health Regulation No. 4 of 2019 because it is still hampered by the stages of data collection activities and early detection of DM sufferers. . Resource variables that do not fully support the implementation of the Diabetes Mellitus Health SPM at the Bureaubuli Community Health Center are also a factor in achieving the Health SPM target that has not reached 100%, such as human, financial and infrastructure resources that are still insufficient. The variable characteristics of implementing agents are related to the bureaucratic structure, norms and relationship patterns that are formed between policy implementers and have run well and in accordance with SOPs. Communication variables between implementers in implementing SPM policies for diabetes mellitus sufferers do not experience obstacles. The communication variable between implementers at the community health center is carried out directly because they are still in the same work area, while communication with implementers in the community is also carried out well and is supported by the use of online communication. The attitude/tendency variable of policy implementers such as the Health Service and the Bureaubuli Community Health Center gave a good response with the existence of a clear policy governing how to implement Diabetes Mellitus services in accordance with SPM Health standards. Economic, social and political environmental variables still have obstacles regarding all funding for SPM which must be accommodated with SPM. This means that in planning the Palu City regional budget, the SPM must be taken into account first in the budget planning. Apart from that, the economic capacity of the people of Palu City is also a supporting factor in the success of the Diabetes Mellitus Health SPM. Apart from that, political support is still lacking in perceived benefits in supporting DM health services that are in accordance with the SPM. The general conclusion is that the implementation of the Minimum Service Standards (SPM) policy in the Diabetes Mellitus (DM) Health Service at the Birobuli Health Center has not gone well.

When to generalise and when to specialise? Climate change and hominin biocultural adaptability in the African early and middle stone age

A growing number of authors have discussed the role of climate change in periods of important biological and cultural transition along the hominin lineage. This paper establishes a biocultural framework elucidating human behavioural adaptations during the African Early and Middle Stone Age, centred on three crucial dimensions of hunter-gatherer adaptation: mobility, social network dynamics, and technology. We contend that landscape properties, specifically resource diversity and seasonal to inter-annual resource variability, can be used to model the specific responses of hominin groups to climate change over time, based on their awareness of these properties. Specifically, we focus on hominin technological generalisation and specialisation, meaning the extent to which there is a high degree of specificity (or fit) between final tool form and the task(s) in which the tool is deployed.In this regard, we argue that the archaeological record reveals punctuated and discontinuous specialisation during certain phases of the Early Stone Age driven by landscape predictability. These periods encourage the expression of relevant innovations and stepwise increases in technological complexity. While some of them become lost to demographic or cultural stochasticity, others end up forming the basis for a standardisation of generalised forms within the context of unexpected climatic deterioration. This is highlighted by the late Acheulean: following a period of greater generalisation in the late Early Pleistocene correlating with repeated and severe orbitally-forced periods of aridity, smaller biface forms become more common (or absent) and regional experimentation with prepared-core technology in Eastern Africa takes place in the context of a return to more humid and stable climatic conditions. The onset of more arid and variable climates associated with the emergence of the Middle Stone Age led to the continental expansion of the prepared-core technological substrate underpinning generalised assemblages. The cycle continues in the Middle Stone Age with a return to climatic stability in the Late Pleistocene and subsequent regional diversification of this techno-complex, in which hominins responded with greater toolkit specialisation in a number of different ways. In this context, we support the existence of a cyclical and non-linear relationship between environmental adaptation and cognitive evolution, as part of a wider biocultural feedback loop, which contributes to explain the evolutionary roots of our “generalist specialist” niche.

HIARA study protocol: impacts of artificial coral reef development on fisheries, human livelihoods and health in southwestern Madagascar.

The Health Impacts of Artificial Reef Advancement (HIARA; in the Malagasy language, "together") study cohort was set up in December 2022 to assess the economic and nutritional importance of seafood for the coastal Malagasy population living along the Bay of Ranobe in southwestern Madagascar. Over the course of the research, which will continue until at least 2026, the primary question we seek to answer is whether the creation of artificial coral reefs can rehabilitate fish biomass, increase fish catch, and positively influence fisher livelihoods, community nutrition, and mental health. Through prospective, longitudinal monitoring of the ecological and social systems of Bay of Ranobe, we aim to understand the influence of seasonal and long-term shifts in marine ecological resources and their benefits to human livelihoods and health. Fourteen communities (12 coastal and two inland) were enrolled into the study including 450 households across both the coastal (n = 360 households) and inland (n = 90 households) ecosystems. In the ecological component, we quantify the extent and health of coral reef ecosystems and collect data on the diversity and abundance of fisheries resources. In the social component, we collect data on the diets, resource acquisition strategies, fisheries and agricultural practices, and other social, demographic and economic indicators, repeated every 3 months. At these visits, clinical measures are collected including anthropometric measures, blood pressure, and mental health diagnostic screening. By analyzing changes in fish catch and consumption arising from varying distances to artificial reef construction and associated impacts on fish biomass, our cohort study could provide valuable insights into the public health impacts of artificial coral reef construction on local populations. Specifically, we aim to assess the impact of changes in fish catch (caused by artificial reefs) on various health outcomes, such as stunting, underweight, wasting, nutrient intake, hypertension, anxiety, and depression.