Regulasi Diri Sebagai Strategi Manajemen Waktu Mahasiswa Aktif Berorganisasi

Mahasiswa aktif berorganisasi harus menerapkan strategi manajemen waktu yang tepat agar dapat mengikuti kegiatan kuliah dan organisasi dengan lancar. Strategi manajemen waktu yang baik bisa didapatkan melalui regulasi diri yang baik. Dalam menggambarkan strategi manajemen waktu yang berbasis kemampuan regulasi diri dari mahasiswa aktif berorganisasi, hal tersebut dapat dikategorikan sebagai fenomena subjektif, maka perlu dilakukan penelitian menggunakan pendekatan interpretative phenomenological analysis (IPA). Partisipan yang terlibat dalam penelitian adalah mahasiswa yang menempuh kuliah dan aktif menjadi pengurus organisasi sosial. Peneliti melakukan wawancara  dengan panduan wawancara selama tiga bulan kepada enam partisipan. Hasil penelitian memberikan gambaran bahwa partisipan menerapkan aspek-aspek dalam regulasi diri dengan baik terhadap agenda yang dimiliki. Enam partisipan menjalani kegiatan kuliah dan organisasi dengan menyusun agenda dan memberikan skala prioritas terhadap masing-masing kegiatan, memprediksi, melibatkan teknologi, meminta bantuan orang lain, membagi tugas dalam kelompok dan menerapkan kedisiplinan dalam menyelesaikan tugasnya

Spatial Configuration Analysis: Revealing the Underlying Spatial Structure of Single-Family Homes on Oahu

This project is a commentary on the disconnect between domestic space and cultural values on Oahu. Space Syntax is a method of analysis used in this study to reveal the underlying spatial structure of the home environment. It concerns spatial relationships and the manner in which they are configured to reflect or influence culture. Many of the configuration characteristics of the standard Oahu home are found to be inconsistent with local cultural values. The analysis reveals an underlying spatial structure that is segregated from outdoor spaces and inappropriately formal in nature. It also identifies spaces that are consistently structured contradictory to their actual uses. Configuration analysis reveals much about the Oahu home that is not immediately apparent and can serve as a useful tool to those involved in the design and building process

Road Segmentation with Neural Networks

Autonomous driving is the next biggest technological advance in the automobile industry. However, the current technology is still very much in its infancy. Networks of sensors such as cameras and LIDAR systems are used to record and measure the road condition. While neural networks are used to understand the road condition and make the correct decision to drive the vehicle. In this paper, we are specifically focusing on the road segmentation of autonomous vehicle technology. We will be going over the two approaches to road segmentation by Oliveira, et al [5] and Caltagirone, et al [2], and we will compare the performance of each approach on a road benchmark dataset called KITTI dataset

Effect of DNA Groove Binder Distamycin A upon Chromatin Structure

BACKGROUND: Distamycin A is a prototype minor groove binder, which binds to B-form DNA, preferentially at A/T rich sites. Extensive work in the past few decades has characterized the binding at the level of double stranded DNA. However, effect of the same on physiological DNA, i.e. DNA complexed in chromatin, has not been well studied. Here we elucidate from a structural perspective, the interaction of distamycin with soluble chromatin, isolated from Sprague-Dawley rat. METHODOLOGY/PRINCIPAL FINDINGS: Chromatin is a hierarchical assemblage of DNA and protein. Therefore, in order to characterize the interaction of the same with distamycin, we have classified the system into various levels, according to the requirements of the method adopted, and the information to be obtained. Isothermal titration calorimetry has been employed to characterize the binding at the levels of chromatin, chromatosome and chromosomal DNA. Thermodynamic parameters obtained thereof, identify enthalpy as the driving force for the association, with comparable binding affinity and free energy for chromatin and chromosomal DNA. Reaction enthalpies at different temperatures were utilized to evaluate the change in specific heat capacity (ΔCp), which, in turn, indicated a possible binding associated structural change. Ligand induced structural alterations have been monitored by two complementary methods--dynamic light scattering, and transmission electron microscopy. They indicate compaction of chromatin. Using transmission electron microscopy, we have visualized the effect of distamycin upon chromatin architecture at di- and trinucleosome levels. Our results elucidate the simultaneous involvement of linker bending and internucleosomal angle contraction in compaction process induced by distamycin. CONCLUSIONS/SIGNIFICANCE: We summarize here, for the first time, the thermodynamic parameters for the interaction of distamycin with soluble chromatin, and elucidate its effect on chromatin architecture. The study provides insight into a ligand induced compaction phenomenon, and suggests new mechanisms of chromatin architectural alteration

Deuteros 2.0: Peptide-level significance testing of data from hydrogen deuterium exchange mass spectrometry

Summary: Hydrogen deuterium exchange mass spectrometry (HDX-MS) is becoming increasing routine for monitoring changes in the structural dynamics of proteins. Differential HDX-MS allows comparison of individual protein states, such as in the absence or presence of a ligand. This can be used to attribute changes in conformation to binding events, allowing the mapping of entire con-formational networks. As such, the number of necessary cross-state comparisons quickly increas-es as additional states are introduced to the system of study. There are currently very few software packages available that offer quick and informative comparison of HDX-MS datasets and even few-er which offer statistical analysis and advanced visualization. Following the feedback from our origi-nal software Deuteros, we present Deuteros 2.0 which has been redesigned from the ground up to fulfil a greater role in the HDX-MS analysis pipeline. Deuteros 2.0 features a repertoire of facilities for back exchange correction, data summarization, peptide-level statistical analysis and advanced data plotting features. Availability: Deuteros 2.0 can be downloaded from https://github.com/andymlau/Deuteros_2.0 under the Apache 2.0 license. Installation of Deuteros 2.0 requires the MATLAB Runtime Library available free of charge from MathWorks (https://www.mathworks.com/products/compiler/matlab-runtime.html) and is available for both Windows and Mac operating systems.Comment: Application note with 3 pages, 1 figur

Machine learning methods for predicting protein structure from single sequences

Recent breakthroughs in protein structure prediction have increasingly relied on the use of deep neural networks. These recent methods are notable in that they produce 3-D atomic coordinates as a direct output of the networks, a feature which presents many advantages. Although most techniques of this type make use of multiple sequence alignments as their primary input, a new wave of methods have attempted to use just single sequences as the input. We discuss the make-up and operating principles of these models, and highlight new developments in these areas, as well as areas for future development

On the cross-section of Dark Matter using substructure infall into galaxy clusters

We develop a statistical method to measure the interaction cross-section of Dark Matter, exploiting the continuous minor merger events in which small substructures fall into galaxy clusters. We find that by taking the ratio of the distances between the galaxies and Dark Matter, and galaxies and gas in accreting sub-halos, we form a quantity that can be statistically averaged over a large sample of systems whilst removing any inherent line-of-sight projections. In order to interpret this ratio as a cross-section of Dark Matter we derive an analytical description of sub-halo infall which encompasses; the force of the main cluster potential, the drag on a gas sub-halo, a model for Dark Matter self-interactions and the resulting sub-halo drag, the force on the gas and galaxies due to the Dark Matter sub-halo potential, and finally the buoyancy on the gas and Dark Matter. We create mock observations from cosmological simulations of structure formation and find that collisionless Dark Matter becomes physically separated from X-ray gas by up to 20h^-1 kpc. Adding realistic levels of noise, we are able to predict achievable constraints from observational data. Current archival data should be able to detect a difference in the dynamical behaviour of Dark Matter and standard model particles at 6 sigma, and measure the total interaction cross-section sigma/m with 68% confidence limits of +/- 1cm2g^-1. We note that this method is not restricted by the limited number of major merging events and is easily extended to large samples of clusters from future surveys which could potentially push statistical errors to 0.1cm^2g^-1.Comment: 14 pages, 11 figure

Agricultura Colombiana: adaptación al cambio climático

El cambio climático probablemente tendrá impactos significativos en el sector agropecuario en Colombia, responsable de más de una décima parte del PIB del país y fuente de empleo para más de una quinta parte de su población. Los análisis indican que para el 2050 es probable que se presenten aumentos significativos de la temperatura, precipitación más errática y mayor prevalencia de plagas y enfermedades. Para atender las múltiples implicaciones socioeconómicas de estos cambios, el gobierno debe priorizar la adaptación, invirtiendo en evaluaciones regionales, investigación y desarrollo, y transferencia de tecnologías a los agricultores y capacitación en su uso

Lymphoma and Myeloma Cell Resistance to Cytotoxic Agents and Ionizing Radiations Is Not Affected by Exposure to Anti–IL-6 Antibody

Background: Production of high levels of IL-6 is often correlated with resistance to cytotoxics or ionizing radiations, in cancer cell lines as in various cancer patients. We investigated whether monoclonal antibodies directed against IL-6 may enable to reverse resistance of cancer cell lines. Methodology/Principal Findings: We exposed ten haematological cancer cells from lymphoma, myeloma, or leukemia origins to cytotoxics or ionizing radiations and assessed the effects of anti–IL-6 antibody addition on cell proliferation, apoptosis, or IL-6 signaling. A strong correlation between IL-6 secretion, measured by ELISA, and resistance to doxorubicin as ionizing radiations was observed in the multiple myeloma U266 and the Burkitt’s lymphoma Daudi and Namalwa cells. Although an anti–IL-6 antibody combined to both treatments efficiently blocked IL-6 signaling in U266 cells, expressing the IL-6 receptor gp80, it did not increase treatment-induced anti-proliferative and pro-apoptotic effects on these cells, as well as on Daudi and Namalwa cells. This lack of effect could be related to diverse factors: 1) a higher release of the soluble form of IL-6 receptor gp80 in response to doxorubicin and irradiation from all cell lines, 2) an impaired level of the IL-6 pathway inhibitor SOCS3 in Daudi cells, and 3) an increased release of IL-10 and TNFa, two cytokines involved in cell radio- and chemoresistance. Conclusions/Significance: These data support the fact that IL-6 is not the preponderant actor of cell resistance to cytotoxic