Pemberdayaan Masyarakat Pesisir Pulau Untungjawa Dalam Upaya Meningkatkan Kesadaran Hukum Dan Kemandirian Nelayan

Kelurahan Pulau Untung Jawa merupakan salah satu dari enam kelurahan di wilayah kepulauan Seribu atau satu di antara tiga kelurahan di wilayah kecamatan Kepulauan Seribu Selatan. Penduduk Pulau Untung Jawa sebagian besar adalah masyarakat pribumi yang silsilahnya berasal dari Pulau Untung Jawa dan perpindahan masyarakat Pulau Ubi Besar tanggal 13 Februari 1954. Kelurahan Pulau Untung Jawa merupakan kawasan andalan Wisata Pemukiman yang mempunyai peranan penting dalam mewujudkan visi kabupaten yaitu: Sebagai Taman dan Ladang Kehidupan Bahari yang Berkelanjutan Penelitian ini menemukan model pemberdayaan yang tepat bagi masyarakat pesisir pulau UntungJawa dan menganalisis upaya peningkatan kesadaran hukum dan kemandirian nelayan Pulau UntungJawa. Penelitian ini termasuk dalam penelitian deskriptif kualitatif dengan pendekatan sosiologis, atau dalam penelitian hukum biasa disebut normatif terapan/normatif empiris. Model pemberdayaan yang bertujuan membangun kemandirian nelayan pulau UntungJawa dapat dilaksanakan dengan kerjasama dan partisipasi masyarakat. Perlu sinergitas antara peran pemerintah baik aparat kelurahan dan instansi terkait lainnya, LSM yang peduli atau pun Perusahaan, kampus maupun masyarakat nelayan itu sendiri. Terdapat faktor pendukung dan faktor penghambat yang harus diperhatikan dan dicarikan solusinya. Faktor pendukung antara lain sudah terbangun konsep kesadaran dalam melakukan segala macam kegiatan yang sesuai dengan hukum yang ada, potensi wisata dan produksi perikanan, aparat Kelurahan yang cukup aktif dan kesiapan SDM untuk memotivasi diri dan menerima pendampingan serta berbagai pelatihan. Adapun faktor penghambatnya antara lain: terbatasnya modal, faktor alam, sarana prasarana, kurangnya gairah wisata, daya minat beli dan daya minat permainan air, tidak adanya penghasillan rutin, honor pekerja yang kurang dari UMP, SDM, dan kurangnya kesadaran hukum, bantuan hukum dan perlindungan hukum

A pan-European epidemiological study reveals honey bee colony survival depends on beekeeper education and disease control

Reports of honey bee population decline has spurred many national efforts to understand the extent of the problem and to identify causative or associated factors. However, our collective understanding of the factors has been hampered by a lack of joined up trans-national effort. Moreover, the impacts of beekeeper knowledge and beekeeping management practices have often been overlooked, despite honey bees being a managed pollinator. Here, we established a standardised active monitoring network for 5 798 apiaries over two consecutive years to quantify honey bee colony mortality across 17 European countries. Our data demonstrate that overwinter losses ranged between 2% and 32%, and that high summer losses were likely to follow high winter losses. Multivariate Poisson regression models revealed that hobbyist beekeepers with small apiaries and little experience in beekeeping had double the winter mortality rate when compared to professional beekeepers. Furthermore, honey bees kept by professional beekeepers never showed signs of disease, unlike apiaries from hobbyist beekeepers that had symptoms of bacterial infection and heavy Varroa infestation. Our data highlight beekeeper background and apicultural practices as major drivers of honey bee colony losses. The benefits of conducting trans-national monitoring schemes and improving beekeeper training are discussed

Distribution of infectious and parasitic agents among three sentinel bee species across European agricultural landscapes

Infectious and parasitic agents (IPAs) and their associated diseases are major environmental stressors that jeopardize bee health, both alone and in interaction with other stressors. Their impact on pollinator communities can be assessed by studying multiple sentinel bee species. Here, we analysed the field exposure of three sentinel managed bee species (Apis mellifera, Bombus terrestris and Osmia bicornis) to 11 IPAs (six RNA viruses, two bacteria, three microsporidia). The sentinel bees were deployed at 128 sites in eight European countries adjacent to either oilseed rape fields or apple orchards during crop bloom. Adult bees of each species were sampled before their placement and after crop bloom. The IPAs were detected and quantified using a harmonised, high-throughput and semi-automatized qPCR workflow. We describe differences among bee species in IPA profiles (richness, diversity, detection frequencies, loads and their change upon field exposure, and exposure risk), with no clear patterns related to the country or focal crop. Our results suggest that the most frequent IPAs in adult bees are more appropriate for assessing the bees' IPA exposure risk. We also report positive correlations of IPA loads supporting the potential IPA transmission among sentinels, suggesting careful consideration should be taken when introducing managed pollinators in ecologically sensitive environments

A new tool for multi-block PLS discriminant analysis: application to metabolomic data in systems epidemiology

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Multi-block PLS discriminant analysis for the joint analysis of metabolomic and epidemiological data

INTRODUCTION: Metabolomics is a powerful phenotyping tool in nutrition and health research, generating complex data that need dedicated treatments to enrich knowledge of biological systems. In particular, to investigate relations between environmental factors, phenotypes and metabolism, discriminant statistical analyses are generally performed separately on metabolomic datasets, complemented by associations with metadata. Another relevant strategy is to simultaneously analyse thematic data blocks by a multi-block partial least squares discriminant analysis (MBPLSDA) allowing determining the importance of variables and blocks in discriminating groups of subjects, taking into account data structure. OBJECTIVE: The present objective was to develop a full open-source standalone tool, allowing all steps of MBPLSDA for the joint analysis of metabolomic and epidemiological data. METHODS: This tool was based on the mbpls function of the ade4 R package, enriched with functionalities, including some dedicated to discriminant analysis. Provided indicators help to determine the optimal number of components, to check the MBPLSDA model validity, and to evaluate the variability of its parameters and predictions. RESULTS: To illustrate the potential of this tool, MBPLSDA was applied to a real case study involving metabolomics, nutritional and clinical data from a human cohort. The availability of different functionalities in a single R package allowed optimizing parameters for an efficient joint analysis of metabolomics and epidemiological data to obtain new insights into multidimensional phenotypes. CONCLUSION: In particular, we highlighted the impact of filtering the metabolomic variables beforehand, and the relevance of a MBPLSDA approach in comparison to a standard PLS discriminant analysis method

The Four Clusters or the Yearly Honey Bee Colony Mortality for EPILOBEE <i>second</i> year.

<p>They are illustrated by a map (a) and a dendogram (b) for EPILOBEE and broken into the winter (c) and the seasonal (d) mortality rates. The vertical segments represent the 95% confidence intervals. BE = Belgium; DE = Germany; DK = Denmark; EE = Estonia; ES = Spain; FI = Finland; FR = France; GR = Greece; HU = Hungary; IT = Italy; LT = Lithuania; LV = Latvia; PL = Poland; PT = Portugal; SE = Sweden; SK = Slovakia.</p

Blood functional assay for rapid clinical interpretation of germline TP53 variants

International audienceThe interpretation of germline TP53 variants is critical to ensure appropriate medical management of patients with cancer and follow-up of variant carriers. This interpretation remains complex and is becoming a growing challenge considering the exponential increase in TP53 tests. We developed a functional assay directly performed on patients' blood

Revisiting Li-Fraumeni Syndrome From TP53 Mutation Carriers

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