Peran Guru Sekolah Dasar Dalam Menerapkan Pembelajaran Di Tengah Pandemi Covid-19 Di Wilayah Tertinggal, Terluar, Dan Terjauh (3T)

The remaining, outer and farthest areas is a minimal area of its effectiveness of education, this is due to lack of educational facilities and infrastructure. Covid-19 pandemic is currently a very serious barrier for education conditions in the 3T region. So how is the teacher involved in finding solutions to the current pandemic problem? Teacher creativity will help the children of the nation remain in its education at the Covid-19 pandemic in a new teaching technique. The research methodology in this writing uses qualitative research methods with a descriptive approach. It will analyze and analyze the various conditions and situations of some of the data gathered in the observations. This method will also focus on to describe the circumstances that are transparently specifically and in-depth. As for the findings in writing are describing the importance of education in the 3T stake, discovering the impact of a pandemic against education in the 3T stake, and how teachers and governments continue to run the study in the middle of the Covid-19. The role of elementary school teachers creativity is the solution to the learning process at the Covid-19 pandemic in the outmost and furthest reaches of the county Wilayah tertinggal, terluar dan terjauh merupakan wilayah yang masih minim tingkat efektifitas pendidikannya, hal ini disebabkan kurangnya sarana dan prasarana pendidikan. Pandemi Covid-19 saat ini menjadi hambatan yang sangat serius bagi kondisi pendidikan di wilayah 3T tersebut. Maka bagaimana peran guru dalam mencari solusi akan masalah di tengah pandemi saat ini? kreatifitas guru akan menolong anak-anak bangsa untuk tetap terlayani pendidikannya di tengah pandemi Covid-19 dalam teknik pengajaran yang baru. Metodologi penelitian dalam tulisan ini menggunakan metode penelitian kualitatif dengan pendekatan deskriptif. Metode ini akan menganalisis, menggambarkan dan menyimpulkan berbagai kondisi serta situasi dari beberapa data yang dikumpulkan dalam pengamatan. Metode ini pun lebih akan memfokuskan untuk mendeskripsikan keadaan yang terjadi secara transparan, spesifik dan mendalam. Adapun temuan-temuan dalam penulisan ialah menguraikan pentingnya pendidikan dalam wilayah 3T, menemukan dampak pandemi terhadap pendidikan di wilayah 3T, dan bagaimana peran guru serta pemerintah tetap menjalankan pembelajaran di tengah pandemi Covid-19. Peran kreatifitas guru sekolah dasar adalah solusi penerapan proses pembelajaran di tengah pandemi Covid-19 di wilayah tertinggal, terluar dan terjauh.

The area rule for circulation in three-dimensional turbulence

An important idea underlying a plausible dynamical theory of circulation in three-dimensional turbulence is the so-called area rule, according to which the probability density function (PDF) of the circulation around closed loops depends only on the minimal area of the loop, not its shape. We assess the robustness of the area rule, for both planar and nonplanar loops, using high-resolution data from direct numerical simulations. For planar loops, the circulation moments for rectangular shapes match those for the square with only small differences, these differences being larger when the aspect ratio is farther from unity and when the moment order increases. The differences do not exceed about 5% for any condition examined here. The aspect ratio dependence observed for the second-order moment is indistinguishable from results for the Gaussian random field (GRF) with the same two-point correlation function (for which the results are order-independent by construction). When normalized by the SD of the PDF, the aspect ratio dependence is even smaller ( < 2%) but does not vanish unlike for the GRF. We obtain circulation statistics around minimal area loops in three dimensions and compare them to those of a planar loop circumscribing equivalent areas, and we find that circulation statistics match in the two cases only when normalized by an internal variable such as the SD. This work highlights the hitherto unknown connection between minimal surfaces and turbulence.

N-Butyl Cyanoacrylate Embolization in Management of Iatrogenic Renal Hemorrhages—Single-Center Study Evaluating Safety and Efficacy

Objectives: The aim of the study was to evaluate the efficacy of endovascular N-butyl cyanoacrylate (NBCA)/glue embolization alone in the management of iatrogenic renal injuries and its effect on renal function. Methods: Thirty-one patients who presented with significant iatrogenic renal injuries over a time period ranging from June 2013 to June 2018 were evaluated. The clinical features, lab parameters, and imaging findings were recorded. The embolizing agent used was exclusively NBCA. The success rate was calculated along with the effect of glue embolization on kidney in the form of postembolization ischemia and change in the serum creatinine levels in immediate pre- and postembolization period. The time between the iatrogenic injury and angioembolization as well as the time from angioembolization to discharge was also calculated. Recurrence was evaluated at 1 and 6 months follow-up. Results: NBCA embolization showed 100% technical and clinical success in our study and no recurrence was noted at follow-up. Glue was also able to achieve complete embolization in patients with coagulopathy (n = 14, 45.1%). Percentage area deficit of normal renal blush in the postembolization check angiogram varied from 4 to 15.7% with a mean deficit of 7.65%. No significant difference in the serum creatinine was noted in immediate postembolization period. Conclusions: We conclude that glue is an effective embolizing agent for management of iatrogenic renal injuries even in coagulopathy patients with minimal area of parenchymal loss, no significant effect on renal functions, and no recurrence on 6 months follow-up.

Variationally Improved Bézier Surfaces with Shifted Knots

The Plateau-Bézier problem with shifted knots is to find the surface of minimal area amongst all the Bézier surfaces with shifted knots spanned by the admitted boundary. Instead of variational minimization of usual area functional, the quasi-minimal Bézier surface with shifted knots is obtained as the solution of variational minimization of Dirichlet functional that turns up as the sum of two integrals and the vanishing condition gives us the system of linear algebraic constraints on the control points. The coefficients of these control points bear symmetry for the pair of summation indices as well as for the pair of free indices. These linear constraints are then solved for unknown interior control points in terms of given boundary control points to get quasi-minimal Bézier surface with shifted knots. The functional gradient of the surface gives possible candidate functions as the minimizers of the aforementioned Dirichlet functional; when solved for unknown interior control points, it results in a surface of minimal area called quasi-minimal Bézier surface. In particular, it is implemented on a biquadratic Bézier surface by expressing the unknown control point P 11 as the linear combination of the known control points in this case. This can be implemented to Bézier surfaces with shifted knots of higher degree, as well if desired.

Acute Mechanical Performance of Magmaris vs. DESolve Bioresorbable Scaffolds in a Real-World Scenario

Background: After the bioresorbable PLLA-based vascular scaffold (Absorb BVS) was taken from the market due to its high adverse event rates, a magnesium-based scaffold (Magmaris) was introduced.Objective: To compare the acute performance of the sirolimus-eluting magnesium alloy Magmaris scaffold with that of the novolimus-eluting PLLA-based DESolve scaffold in terms of appropriate scaffold deployment using optical coherence tomography (OCT).Methods and Results: Data from the final OCT pullback of 98 patients were included (19 Magmaris, 79 DESolve) and analyzed at 1-mm intervals. The following indices were calculated: mean and minimal area, residual area stenosis, incomplete strut apposition, tissue prolapse, eccentricity index, symmetry index, strut fracture, and edge dissection. OCT showed a minimum lumen area for Magmaris vs. DESolve of 6.6 ± 1.6 vs. 6.0 ± 1.9 (p = 0.06). Scaffolds with residual area stenosis &gt;20% were predominantly seen in the DESolve group (15.8 vs. 46.8%; p = 0.01). The mean eccentricity index did differ significantly (0.74 ± 0.06 vs. 0.63 ± 0.09; p &lt; 0.001). No fractures were observed for Magmaris scaffolds, but 15.2% were documented for DESolve BRS (p &lt; 0.001). Incomplete scaffold apposition area was significantly higher in the DESolve group (0.01 ± 0.02 vs. 1.05 ± 2.32 mm2; p &lt; 0.001).Conclusion: This is the first study to compare the acute mechanical performance between Magmaris and DESolve in a real-world setting. The acute mechanical performance of Magmaris BRS seems to be superior to that of DESolve BRS, whereas OCT showed a good acute mechanical performance for both BRS in terms of generally accepted imaging criteria.

Building tensor networks for holographic states

We discuss a one-parameter family of states in two-dimensional holographic conformal field theories which are constructed via the Euclidean path integral of an effective theory on a family of hyperbolic slices in the dual bulk geometry. The effective theory in question is the CFT flowed under a $$ T\overline{T} $$ T T ¯ deformation, which “folds” the boundary CFT towards the bulk time-reflection symmetric slice. We propose that these novel Euclidean path integral states in the CFT can be interpreted as continuous tensor network (CTN) states. We argue that these CTN states satisfy a Ryu-Takayanagi-like minimal area upper bound on the entanglement entropies of boundary intervals, with the coefficient being equal to $$ \frac{1}{4{G}_N} $$ 1 4 G N ; the CTN corresponding to the bulk time-reflection symmetric slice saturates this bound. We also argue that the original state of the CFT can be written as a superposition of such CTN states, with the corresponding wavefunction being the bulk Hartle-Hawking wavefunction.

CLU

Convolutional/Deep Neural Networks (CNNs/DNNs) are rapidly growing workloads for the emerging AI-based systems. The gap between the processing speed and the memory-access latency in multi-core systems affects the performance and energy efficiency of the CNN/DNN tasks. This article aims to alleviate this gap by providing a simple and yet efficient near-memory accelerator-based system that expedites the CNN inference. Towards this goal, we first design an efficient parallel algorithm to accelerate CNN/DNN tasks. The data is partitioned across the multiple memory channels (vaults) to assist in the execution of the parallel algorithm. Second, we design a hardware unit, namely the convolutional logic unit (CLU), which implements the parallel algorithm. To optimize the inference, the CLU is designed, and it works in three phases for layer-wise processing of data. Last, to harness the benefits of near-memory processing (NMP), we integrate homogeneous CLUs on the logic layer of the 3D memory, specifically the Hybrid Memory Cube (HMC). The combined effect of these results in a high-performing and energy-efficient system for CNNs/DNNs. The proposed system achieves a substantial gain in the performance and energy reduction compared to multi-core CPU- and GPU-based systems with a minimal area overhead of 2.37%.