Pemberdayaan Masyarakat Berbasis Modal Sosial Dalam Rangka Pelestarian Hutan Mangrove

The area of the North Luwu mangrove forest is 16,000 hectares. With a coastline length of 53 Km.However, 24% of the mangrove ecosystem is in a damaged condition. The damage was spread overseveral points. One of the points of concern is the coastline area of Pao Village and Pengkajoan Village.The damage was caused by the conversion of mangrove forest land for milkfish and shrimp ponds,changing the function to agricultural land, especially citrus farming, residential areas, and plantationland. This study aims to analyze community empowerment through the concept of social capital toconserve mangrove forests. This type of research is a descriptive type of research with a qualitativeapproach. Data collection was carried out through interviews, observation, and documentation.Activities in the analysis consist of data condensation, data display, and conclusion drawing/verification.The results showed that social capital-based community empowerment in mangrove conservation hasbeen running, this is because the group can move its members in preserving mangrove forests by onlycapitalizing on mutual trust by prioritizing group goals. Besides that, what makes the group empoweredis the collaboration with the local government and universities in Luwu Raya. The increase in groupcapacity is also due to training and mentoring from universities, especially regarding the impact ofchanging mangrove forest lands.Luas hutan mangrove Luwu Utara yakni 16.000 Ha. Dengan panjang garis pantai 53 Km. Namun, 24%ekosistem mangrove-nya dalam kondisi rusak. Kerusakan tersebut tersebar di beberapa titik. Salah satutitik yang mengkhawatirkan adalah kawasan garis pantai Desa Pao dan Desa Pengkajoan. Kerusakandisebabkan konversi lahan hutan mangrove diperuntukan sebagai lahan tambak ikan bandeng dan udang,beralih fungsi menjadi lahan pertanian khususnya pertanian jeruk, kawasan pemukiman dan lahanperkebunan Penelitian ini bertujuan untuk menganilisis pemberdayaan masyarakat melalui konsep modalsosial untuk melestarikan hutan mangrove. Jenis penelitian ini adalah jenis penelitian deskriftif denganpendekatan kualitatif. pengumpulan data dilakukan melalui wawancara, observasi dan Dokumentsi.Aktivitas dalam analisis terdiri dari kondensasi data (data condensation), penyajian data (data display),serta penarikan kesimpulan dan verivikasi (conclusion drawing/verification). Hasil penelitianmenunjukkan bahwa pemberdayaan masyarakat berbasis modal sosial dalam pelestarian mangrove sudahberjalan hal ini disebabkan kelompok mampu menggerakan anggotanya dalam melestariakan hutanmangrove dengan hanya bermodalkan saling kepercayaan satu sama lain dengan menkedepankan tujuankelompok. Selain itu yang menjadikan kelompok berdaya karena kerjasama dengan pihak pemerintahdaerah maupun perguruan tinggi yang ada di Luwu Raya. Peningkatan kemampuan kelompok jugadisebabkan pelatihan dan pendampngan dari perguruan tinggi khususnya mengenai dampak dariperubahn lahan hutan mangrove

PERSFEKTIF MODAL SOSIAL TERHADAP REHABILITASI HUTAN MANGGROVE DI DESA PENGKAJOANG KECAMATAN MALANGKE BARAT LUWU UTARA

PERSFEKTIF MODAL SOSIAL TERHADAP REHABILITASI HUTAN MANGGROVE  DI DESA PENGKAJOANG KECAMATAN MALANGKE BARAT LUWU UTAR

Ear, nose and throat injuries at Bugando Medical Centre in northwestern Tanzania: a five-year prospective review of 456 cases.

Injuries to the ear, nose and throat (ENT) regions are not uncommon in clinical practice and constitute a significant cause of morbidity and mortality in our setting. There is dearth of literature on this subject in our environment. This study was conducted to describe the causes, injury pattern and outcome of these injuries in our setting and proffer possible preventive measures. This was a descriptive prospective study of patients with ear, nose and throat injuries managed at Bugando Medical Centre between May 2007 and April 2012. Ethical approval to conduct the study was sought from relevant authorities. Statistical data analysis was performed using SPSS computer software version 17.0. A total of 456 patients were studied. The median age of patients at presentation was 18 years (range 1 to 72 years). The male to female ratio was 2:1. The commonest cause of injury was foreign bodies (61.8%) followed by road traffic accidents (22.4%). The ear was the most common body region injured accounting for 59.0% of cases. The majority of patients (324, 71.1%) were treated as an outpatient and only 132(28.9%) patients required admission to the ENT wards after definitive treatment. Foreign body removal and surgical wound debridement were the most common treatment modalities performed in 61.9% and 16.2% of cases respectively. Complication rate was 14.9%. Suppurative otitis media (30.9%) was the commonest complication in the ear while traumatic epistaxis (26.5%) and hoarseness of voice (11.8%) in the aero-digestive tract were commonest in the nose and throat. The overall median length of hospital stay for in-patients was 8 days (range 1 to 22 days). Patients who developed complications and those who had associated injuries stayed longer in the hospital (P < 0.001).Mortality rate related to isolated ENT injuries was 1.3% (6 deaths). The majority of patients (96.9%) were treated successfully and only 3.1% of cases were discharged with permanent disabilities. Injuries to the ENT regions are not uncommon in our environment and foreign bodies constitute a significant cause of injury. Majority of these injuries can be prevented through public enlightenment campaigns

COSMIC Cancer Gene Census 3D database: understanding the impacts of mutations on cancer targets

Mutations in hallmark genes are believed to be the main drivers of cancer progression. These mutations are reported in the Catalogue of Somatic Mutations in Cancer (COSMIC). Structural appreciation of where these mutations appear, in protein-protein interfaces, active sites or deoxyribonucleic acid (DNA) interfaces, and predicting the impacts of these mutations using a variety of computational tools are crucial for successful drug discovery and development. Currently, there are 723 genes presented in the COSMIC Cancer Gene Census. Due to the complexity of the gene products, structures of only 87 genes have been solved experimentally with structural coverage between 90% and 100%. Here, we present a comprehensive, user-friendly, web interface (https://cancer-3d.com/) of 714 modelled cancer-related genes, including homo-oligomers, hetero-oligomers, transmembrane proteins and complexes with DNA, ribonucleic acid, ligands and co-factors. Using SDM and mCSM software, we have predicted the impacts of reported mutations on protein stability, protein-protein interfaces affinity and protein-nucleic acid complexes affinity. Furthermore, we also predicted intrinsically disordered regions using DISOPRED3

Application of pharmacogenomics and bioinformatics to exemplify the utility of human <i>ex vivo</i> organoculture models in the field of precision medicine

Here we describe a collaboration between industry, the National Health Service (NHS) and academia that sought to demonstrate how early understanding of both pharmacology and genomics can improve strategies for the development of precision medicines. Diseased tissue ethically acquired from patients suffering from chronic obstructive pulmonary disease (COPD), was used to investigate inter-patient variability in drug efficacy using ex vivo organocultures of fresh lung tissue as the test system. The reduction in inflammatory cytokines in the presence of various test drugs was used as the measure of drug efficacy and the individual patient responses were then matched against genotype and microRNA profiles in an attempt to identify unique predictors of drug responsiveness. Our findings suggest that genetic variation in CYP2E1 and SMAD3 genes may partly explain the observed variation in drug response

Clinicopathological Profile and Surgical Treatment of Abdominal Tuberculosis: A Single Centre Experience in Northwestern Tanzania.

Abdominal tuberculosis continues to be a major public health problem worldwide and poses diagnostic and therapeutic challenges to general surgeons practicing in resource-limited countries. This study was conducted to describe the clinicopathological profile and outcome of surgical treatment of abdominal tuberculosis in our setting and compare with what is described in literature. A prospective descriptive study of patients who presented with abdominal tuberculosis was conducted at Bugando Medical Centre (BMC) in northwestern Tanzania from January 2006 to February 2012. Ethical approval to conduct the study was obtained from relevant authorities. Statistical data analysis was performed using SPSS version 17.0. Out of 256 patients enrolled in the study, males outnumbered females. The median age was 28 years (range = 16-68 years). The majority of patients (77.3%) had primary abdominal tuberculosis. A total of 127 (49.6%) patients presented with intestinal obstruction, 106 (41.4%) with peritonitis, 17 (6.6%) with abdominal masses and 6 (2.3%) patients with multiple fistulae in ano. Forty-eight (18.8%) patients were HIV positive. A total of 212 (82.8%) patients underwent surgical treatment for abdominal tuberculosis. Bands /adhesions (58.5%) were the most common operative findings. Ileo-caecal region was the most common bowel involved in 122 (57.5%) patients. Release of adhesions and bands was the most frequent surgical procedure performed in 58.5% of cases. Complication and mortality rates were 29.7% and 18.8% respectively. The overall median length of hospital stay was 32 days and was significantly longer in patients with complications (p < 0.001). Advanced age (age ≥ 65 years), co-morbid illness, late presentation, HIV positivity and CD4+ count < 200 cells/μl were statistically significantly associated with mortality (p < 0.0001). The follow up of patients were generally poor as only 37.5% of patients were available for follow up at twelve months after discharge. Abdominal tuberculosis constitutes a major public health problem in our environment and presents a diagnostic challenge requiring a high index of clinical suspicion. Early diagnosis, early anti-tuberculous therapy and surgical treatment of the associated complications are essential for survival

Asthma caused by occupational exposures is common – A systematic analysis of estimates of the population-attributable fraction

<p>Abstract</p> <p>Background</p> <p>The aim of this paper is to highlight emerging data on occupational attributable risk in asthma. Despite well documented outbreaks of disease and the recognition of numerous specific causal agents, occupational exposures previously had been relegated a fairly minor role relative to other causes of adult onset asthma. In recent years there has been a growing recognition of the potential importance of asthma induced by work-related exposures</p> <p>Methods</p> <p>We searched Pub Med from June 1999 through December 2007. We identified six longitudinal general population-based studies; three case-control studies and eight cross-sectional analyses from seven general population-based samples. For an integrated analysis we added ten estimates prior to 1999 included in a previous review.</p> <p>Results</p> <p>The longitudinal studies indicate that 16.3% of all adult-onset asthma is caused by occupational exposures. In an overall synthesis of all included studies the overall median PAR value was 17.6%.</p> <p>Conclusion</p> <p>Clinicians should consider the occupational history when evaluating patients in working age who have asthma. At a societal level, these findings underscore the need for further preventive action to reduce the occupational exposures to asthma-causing agents.</p

Non-lactose fermenting Escherichia coli: Following in the footsteps of lactose fermenting E. coli high-risk clones.

Multi-resistant pathogenic strains of non-lactose fermenting Escherichia coli (NLF E. coli) are responsible for various intestinal and extraintestinal infections. Although several studies have characterised such strains using conventional methods, they have not been comprehensively studied at the genomic level. To address this gap, we used whole-genome sequencing (WGS) coupled with detailed microbiological and biochemical testing to investigate 17 NLF E. coli from a diagnostic centre (icddr,b) in Dhaka, Bangladesh. The prevalence of NLF E. coli was 10%, of which 47% (8/17) exhibited multi-drug resistant (MDR) phenotypes. All isolates (17/17) were confirmed as E. coli and could not ferment lactose sugar. WGS data analysis revealed international high-risk clonal lineages. The most prevalent sequence types (STs) were ST131 (23%), ST1193 (18%), ST12 (18%), ST501 (12%), ST167 (6%), ST73 (6%) and ST12 (6%). Phylogenetic analysis corroborated a striking clonal population amongst the studied NLF E. coli isolates. The predominant phylogroup detected was B2 (65%). The bla CTX-M-15 extended-spectrum beta-lactamase gene was present in 53% of isolates (9/17), whilst 64.7% (11/17) isolates were affiliated with pathogenic pathotypes. All extraintestinal pathogenic E. coli pathotypes demonstrated β-hemolysis. Our study underscores the presence of critical pathogens and MDR clones amongst non-lactose fermenting E. coli. We suggest that non-lactose fermenting E. coli be considered equally capable as lactose fermenting forms in causing intestinal and extraintestinal infections. Further, there is a need to undertake systematic, unbiased monitoring of predominant lineages amongst non-lactose fermenting E. coli that would help in better treatment and prevention strategies

Deep Learning for Single-Molecule Science

Exploring and making predictions based on single-molecule data can be challenging, not only due to the sheer size of the datasets, but also because a priori knowledge about the signal characteristics is typically limited and poor signal-to-noise ratio. For example, hypothesis-driven data exploration, informed by an expectation of the signal characteristics, can lead to interpretation bias or loss of information. Equally, even when the different data categories are known, e.g., the four bases in DNA sequencing, it is often difficult to know how to make best use of the available information content. The latest developments in Machine Learning (ML), so-called Deep Learning (DL) offers an interesting, new avenues to address such challenges. In some applications, such as speech and image recognition, DL has been able to outperform conventional Machine Learning strategies and even human performance. However, to date DL has not been applied much in single-molecule science, presumably in part because relatively little is known about the 'internal workings' of such DL tools within single-molecule science as a field. In this Tutorial, we make an attempt to illustrate in a step-by-step guide how one of those, a Convolutional Neural Network, may be used for base calling in DNA sequencing applications. We compare it with a Support Vector Machine as a more conventional ML method, and and discuss some of the strengths and weaknesses of the approach. In particular, a 'deep' neural network has many features of a 'black box', which has important implications on how we look at and interpret data