1,287 research outputs found
Optimasi Penggunaan Lahan Perdesaan Duawutun Kecamatan Nagawutun Kabupaten Lembata
ABSTRAK
Optimasi penggunaan lahan perdesaan adalah upaya dalam membuat
sebuah konsep atau pola pemanfaatan lahan perdesaan sehingga menghasilkan
konsep atau pola penggunaan lahan yang optimal dengan memperhatikan kendala
atau batasan yang dihadapi. Perdesaan Duawutun yang terdiri dari desa Duawutun
dan Desa Ria Bao, dengan luas lahan keseluruhan adalah 963,51 Ha didominasi
oleh kawasan selain permukiman yakni : Semak belukar atau hutan kayu sebesar
43,49% pertanian 32,40% Hutan Lindung sebesar 15,11%, dan penggunaan lahan
lain sebesar 1,40%. Sedangkan penggunaan lahan untuk kawasan permukimannya
adalah sebesar 7,59%.
Optimasi penggunaan lahan yang dilakukan dalam studi ini dilakukan
dengan metode linear programing dimana terlebih dahulu dilakukan analisis kondisi
lahan dengan cara mengoverlay peta Jenis Tanah, Curah Hujan, Kemiringan dan
Guna Lahan. Hasil dari analisis Kondisi lahan berupa peta Kondisi lahan ditambah
potensi dan masalah yang dihadapi dalam penggunaan lahan perdesaan Duawutun
dan juga permintaan pasar untuk produk pertanian unggulan menjadi data dalam
melakukan analisis optimasi.
Hasil analisis dan juga konsep yang telah dibuat yakni : Kondisi lahan di
perdesaan duawutun dikelompokan dalam 3 tipologi yakni Tipe A sebesar 417,68
Ha, Tipe B sebesar 396,88 Ha dan Tipe C sebesar 145,40 Ha. Lahan di perdesaan
Duawutun yang cocok digunakan sebagai lahan pertanian tanaman pangan adalah
sebesar 43 % atau sebesar 41768,67 Ha dan lahan yang cocok digunakan sebagai
lahan pertanian tanaman keras adalah sebesar 34 % atau seluas 32325,33 Ha. Selain
potensi, adapun masalah yang dimiliki yakni bahwa sistem pengelolaan lahan
pertanian saat ini masih bersifat primitif dengan sistem ladang berpindah dan
membakar lahan. Tanaman yang paling optimal untuk ditanami di perdesaan
Duawutun pada lahan pertanian tanaman pangan adalah Ubi jalar namun dengan
memperhatikan faktor kondisi lahan, potensi masalah dan kebiasaan serta
pengetahuan masyarakat setempat maka tanaman jagung dipilih sebagai prioritas
utama dengan potensi penghasilan sebesar Rp 16.485.000 per Ha per tahunnya.
Kata Kunci : Optimasi, Penggunaan Lahan, Perdesaa
OPTIMASI PENGGUNAAN LAHAN PERDESAAN DUAWUTUN KECAMATAN NAGAWUTUNG KABUPATEN LEMBATA
ABSTRAK
Optimasi penggunaan lahan perdesaan adalah upaya dalam membuat
sebuah konsep atau pola pemanfaatan lahan perdesaan sehingga menghasilkan
konsep atau pola penggunaan lahan yang optimal dengan memperhatikan kendala
atau batasan yang dihadapi. Perdesaan Duawutun yang terdiri dari desa Duawutun
dan Desa Ria Bao, dengan luas lahan keseluruhan adalah 963,51 Ha didominasi
oleh kawasan selain permukiman yakni : Semak belukar atau hutan kayu sebesar
43,49% pertanian 32,40% Hutan Lindung sebesar 15,11% dan penggunaan lahan
lain sebesar 1,40%. Sedangkan penggunaan lahan untuk kawasan permukimannya
adalah sebesar 7,59%.
Optimasi penggunaan lahan yang dilakukan dalam studi ini dilakukan
dengan metode linear programing dimana terlebih dahulu dilakukan analisis kondisi
lahan dengan cara mengoverlay peta Jenis Tanah, Curah Hujan, Kemiringan dan
Guna Lahan. Hasil dari analisis Kondisi lahan berupa peta Kondisi lahan ditambah
potensi dan masalah yang dihadapi dalam penggunaan lahan perdesaan Duawutun
dan juga permintaan pasar untuk produk pertanian unggulan menjadi data dalam
melakukan analisis optimasi.
Hasil analisis dan juga konsep yang telah dibuat yakni : Kondisi lahan di
perdesaan duawutun dikelompokan dalam 3 tipologi yakni Tipe A sebesar 417,68
Ha, Tipe B sebesar 396,88 Ha dan Tipe C sebesar 145,40 Ha. Lahan di perdesaan
Duawutun yang cocok digunakan sebagai lahan pertanian tanaman pangan adalah
sebesar 43 % atau sebesar 41768,67 Ha dan lahan yang cocok digunakan sebagai
lahan pertanian tanaman keras adalah sebesar 34 % atau seluas 32325,33 Ha. Selain
potensi, adapun masalah yang dimiliki yakni bahwa sistem pengelolaan lahan
pertanian saat ini masih bersifat primitif dengan sistem ladang berpindah dan
membakar lahan. Tanaman yang paling optimal untuk ditanami di perdesaan
Duawutun pada lahan pertanian tanaman pangan adalah Ubi jalar namun dengan
memperhatikan faktor kondisi lahan, potensi masalah dan kebiasaan serta
pengetahuan masyarakat setempat maka tanaman jagung dipilih sebagai prioritas
utama dengan potensi penghasilan sebesar Rp 16.485.000 per Ha per tahunnya.
Kata Kunci : Optimasi, Penggunaan Lahan, Perdesaa
P02-12. Bupivacaine, a local anaesthetic, enhances immunogenicity of a multiepitopic DNA vaccine containing HIV promiscuous CD4 T cell epitopes
Cadherin expression and emt: A focus on gliomas
Cadherins are calcium-binding proteins with a pivotal role in cell adhesion and tissue homeostasis. The cadherin-dependent mechanisms of cell adhesion and migration are exploited by cancer cells, contributing to tumor invasiveness and dissemination. In particular, cadherin switch is a hallmark of epithelial to mesenchymal transition, a complex development process vastly described in the progression of most epithelial cancers. This is characterized by drastic changes in cell polarity, adhesion, and motility, which lead from an E-cadherin positive differentiated epithelial state into a dedifferentiated mesenchymal-like state, prone to metastization and defined by N-cadherin expression. Although vastly explored in epithelial cancers, how these mechanisms contribute to the pathogenesis of other non-epithelial tumor types is poorly understood. Herein, the current knowledge on cadherin expression in normal development in parallel to tumor pathogenesis is reviewed, focusing on epithelial to mesenchymal transition. Emphasis is taken in the unascertained cadherin expression in CNS tumors, particularly in gliomas, where the potential contribution of an epithelial-to-mesenchymal-like process to glioma genesis and how this may be associated with changes in cadherin expression is discussed.This work was funded by FEDER—Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020—Operacional Programme for Competitiveness and Internationalisation (POCI), Portugal 2020, and by FCT—Fundação para a Ciência e a Tecnologia/ Ministério da Ciência, Tecnologia e Ensino Superior under the project FCT/02/SAICT/2017/030625
Stroke-based splatting: an efficient multi-resolution point cloud visualization technique
Current state-of-the-art point cloud visualization techniques have shortcomings when dealing with sparse and less accurate data or close-up interactions. In this paper, we present a visualization technique called stroke-based splatting, which applies concepts of stroke-based rendering to surface-aligned splatting, allowing for better shape perception at lower resolutions and close-ups. We create a painterly depiction of the data with an impressionistic aesthetic, which is a metaphor the user is culturally trained to recognize, thus attributing higher quality to the visualization. This is achieved by shaping each object-aligned splat as a brush stroke, and orienting it according to globally coherent tangent vectors from the Householder formula, creating a painterly depiction of the scanned cloud. Each splat is sized according to a color-based clustering analysis of the data, ensuring the consistency of brush strokes within neighborhood areas. By controlling brush shape generation parameters and blending factors between neighboring splats, the user is able to simulate different painting styles in real time. We have tested our method with data sets captured by commodity laser scanners as well as publicly available high-resolution point clouds, both having highly interactive frame rates in all cases. In addition, a user study was conducted comparing our approach to state-of-the-art point cloud visualization techniques. Users considered stroke-based splatting a valuable technique as it provides a higher or similar visual quality to current approaches
Properties of SiC Ceramics Sintered via Liquid Phase Using Al2O3 + Y2O3, Al2O3 + Yb2O3 and Al2O3 + Dy2O3 as Additives: a Comparative Study
Binary orbits as the driver of γ-ray emission and mass ejection in classical novae
Classical novae are the most common astrophysical thermonuclear explosions, occurring on the surfaces of white dwarf stars accreting gas from companions in binary star systems. Novae typically expel �10,000 solar masses of material at velocities exceeding 1,000 km/s. However, the mechanism of mass ejection in novae is poorly understood, and could be dominated by the impulsive flash of the thermonuclear runaway, prolonged optically thick winds, or binary interaction with the nova envelope. Classical novae are now routinely detected in GeV gamma-rays, suggesting that relativistic particles are accelerated by strong shocks in nova ejecta. Here we present high-resolution imaging of the gamma-ray-emitting nova V959 Mon at radio wavelengths, showing that its ejecta were shaped by binary motion: some gas was expelled rapidly along the poles as a wind from the white dwarf, while denser material drifted out along the equatorial plane, propelled by orbital motion. At the interface between the equatorial and polar regions, we observe synchrotron emission indicative of shocks and relativistic particle acceleration, thereby pinpointing the location of gamma-ray production. Binary shaping of the nova ejecta and associated internal shocks are expected to be widespread among novae, explaining why many novae are gamma-ray emitters
Continuity, focus and impact: a commented historical perspective on Embrapa Vegetables' extended Capsicum breeding program
Evaluation of qPCR-Based Assays for Leprosy Diagnosis Directly in Clinical Specimens
The increased reliability and efficiency of the quantitative polymerase chain reaction (qPCR) makes it a promising tool for performing large-scale screening for infectious disease among high-risk individuals. To date, no study has evaluated the specificity and sensitivity of different qPCR assays for leprosy diagnosis using a range of clinical samples that could bias molecular results such as difficult-to-diagnose cases. In this study, qPCR assays amplifying different M. leprae gene targets, sodA, 16S rRNA, RLEP and Ag 85B were compared for leprosy differential diagnosis. qPCR assays were performed on frozen skin biopsy samples from a total of 62 patients: 21 untreated multibacillary (MB), 26 untreated paucibacillary (PB) leprosy patients, as well as 10 patients suffering from other dermatological diseases and 5 healthy donors. To develop standardized protocols and to overcome the bias resulted from using chromosome count cutoffs arbitrarily defined for different assays, decision tree classifiers were used to estimate optimum cutoffs and to evaluate the assays. As a result, we found a decreasing sensitivity for Ag 85B (66.1%), 16S rRNA (62.9%), and sodA (59.7%) optimized assay classifiers, but with similar maximum specificity for leprosy diagnosis. Conversely, the RLEP assay showed to be the most sensitive (87.1%). Moreover, RLEP assay was positive for 3 samples of patients originally not diagnosed as having leprosy, but these patients developed leprosy 5–10 years after the collection of the biopsy. In addition, 4 other samples of patients clinically classified as non-leprosy presented detectable chromosome counts in their samples by the RLEP assay suggesting that those patients either had leprosy that was misdiagnosed or a subclinical state of leprosy. Overall, these results are encouraging and suggest that RLEP assay could be useful as a sensitive diagnostic test to detect M. leprae infection before major clinical manifestations
Factors associated with the probability of common mental disorders in pregnant women: a cross-sectional study
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