AMCIS 2021 Awards and Closing Ceremony

This is a video recording of the AMCIS 2021 Awards and Closing Ceremony

Long-range electronic reconstruction to a dxz,yz-dominated Fermi surface below the LaAlO3/SrTiO3 interface

Low dimensionality, broken symmetry and easily-modulated carrier concentrations provoke novel electronic phase emergence at oxide interfaces. However, the spatial extent of such reconstructions - i.e. the interfacial ‘‘depth’’ - remains unclear. Examining LaAlO3/SrTiO3 heterostructures at previously unexplored carrier densities n2D 14 cm-2 , we observe a Shubnikov-de Haas effect for small in-plane fields, characteristic of an anisotropic 3D Fermi surface with preferential dxz,yz orbital occupancy extending over at least 100 nm perpendicular to the interface. Quantum oscillations from the 3D Fermi surface of bulk doped SrTiO3 emerge simultaneously at higher n2D. We distinguish three areas in doped perovskite heterostructures: narrow (nm) 2D interfaces housing superconductivity and/or other emergent phases, electronically isotropic regions far (\u3e120 nm) from the interface and new intermediate zones where interfacial proximity renormalises the electronic structure relative to the bulk

Stimulus - response curves of a neuronal model for noisy subthreshold oscillations and related spike generation

We investigate the stimulus-dependent tuning properties of a noisy ionic conductance model for intrinsic subthreshold oscillations in membrane potential and associated spike generation. On depolarization by an applied current, the model exhibits subthreshold oscillatory activity with occasional spike generation when oscillations reach the spike threshold. We consider how the amount of applied current, the noise intensity, variation of maximum conductance values and scaling to different temperature ranges alter the responses of the model with respect to voltage traces, interspike intervals and their statistics and the mean spike frequency curves. We demonstrate that subthreshold oscillatory neurons in the presence of noise can sensitively and also selectively be tuned by stimulus-dependent variation of model parameters.Comment: 19 pages, 7 figure

Very high energy observations of the BL Lac objects 3C 66A and OJ 287

Using the Solar Tower Atmospheric Cherenkov Effect Experiment (STACEE), we have observed the BL Lac objects 3C 66A and OJ 287. These are members of the class of low-frequency-peaked BL Lac objects (LBLs) and are two of the three LBLs predicted by Costamante and Ghisellini to be potential sources of very high energy (>100 GeV) gamma-ray emission. The third candidate, BL Lacertae, has recently been detected by the MAGIC collaboration. Our observations have not produced detections; we calculate a 99% CL upper limit of flux from 3C 66A of 0.15 Crab flux units and from OJ 287 our limit is 0.52 Crab. These limits assume a Crab-like energy spectrum with an effective energy threshold of 185 GeV.Comment: 24 pages, 15 figures, Accepted for publication in Astroparticle Physic

PENANAMAN NILAI-NILAI ANTI KORUPSI MELALUI KEGIATAN PEMBELAJARAN OUTING CLASS PENDIDIKAN KEWARGANEGARAAN (STUDI PADA SEKOLAH MENENGAH ATAS MUHAMMADIYAH 1 KARANGANYAR

ABSTRAK Atin Putri Sanyoto. K6411014. PENANAMAN NILAI - NILAI ANTI KORUPSI MELALUI KEGIATAN PEMBELAJARAN OUTING CLASS PENDIDIKAN KEWARGANEGARAAN (STUDI PADA SEKOLAH MENENGAH ATAS MUHAMMADIYAH 1 KARANGANYAR), Skripsi, Fakultas Keguruan dan Ilmu Pendidikan Universitas Sebelas Maret Surakarta. Juni, 2018. Tujuan penelitian ini adalah (1) mengetahui penanaman nilai-nilai anti korupsi melalui kegiatan pembelajaran outing class PKn pada peserta didik SMA Muhammadiyah 1 Karanganyar; (2) mengetahui dampak dari penanaman nilai-nilai anti korupsi melalui kegiatan pembelajaran outing class PKn terhadap karakter peserta didik SMA Muhammadiyah 1 Karanganyar. (3) mengetahui faktor-faktor pendukung dan penghambat penanaman nilai-nilai anti korupsi melalui kegiatan pembelajaran outing class PKn pada peserta didik SMA Muhammadiyah 1 Karanganyar; Penelitian ini merupakan penelitian kualitatif, Lokasi penelitian berada di SMA Muhammadiyah 1 Karanganyar. Sumber data berasal dari guru PKn dan peserta didik. Teknik pengumpulan data dengan observasi, wawancara dan analisis dokumen. Validitas data yang digunakan adalah triangulasi data. Analisis data yang digunakan adalah analisis data interaktif. Hasil penelitian menunjukan bahwa (1) Penanaman nilai-nilai anti korupsi di SMA Muhammadiyah 1 Karanganyar dilakukan melalui serangkaian kegiatan pembelajaran outing class PKn yang meliputi, a) Pra Kegiatan meliputi perencanaan acara dengan penunjukan dan pembagian peserta didik secara menyeluruh agar semuanya dapat berpartisipasi aktif; b) Seminar Sosialisasi Anti Korupsi; c) Simulasi Sidang Tindak Pidana Korupsi; e) Deklarasi Anti Korupsi; e) Lomba Baca Puisi Anti Korupsi; f) Lomba Dai Anti Korupsi; g) Lomba Majalah Dinding Anti Korupsi; h) Lomba Band Anti Korupsi; i) Pemakaian Pin Anti Korupsi; j) Kantin Kejujuran; (2) Dampak penanaman nilai-nilai anti korupsi terhadap karakter peserta didik yaitu, berhasil pada pengetahuan moral dengan bertambahnya pengetahuan mengenai tindakan korupsi dan nilai-nilai anti korupsi, serta pada perasaan moral dengan adanya rasa tidak suka terhadap tindakan korupsi, tapi belum pada tindakan moral, ada keinginan memiliki sikap anti korupsi akan tetapi tidak diiringi dengan pembiasaan sehingga belum tercipta karakter anti korupsi secara menyeluruh; (3) Faktor pendukung dan penghambat penanaman nilai-nilai anti korupsi meliputi, a) Faktor pendukung yaitu, keteladanan guru dengan memberikan contoh kepada siswa-siswanya sebagai role model dengan penghargaan guru yang terdisiplin serta kreativitas guru sebagai pendorong terciptanya gagasan untuk mengadakan kegiatan pembelajaran outing class PKn dengan menanamkan sembilan nilai integritas anti korupsi; b) Faktor penghambat meliputi terbatasnya sumber dana, kebiasaan individu yang masih koruptif, dan lingkungan masyarakat yang masih ditemukan ketidaktransparanan dan pungli. Kata kunci : penanaman nilai-nilai anti korupsi, pembelajaran outing clas

Anion exchange membrane soil nitrate predicts turfgrass color and yield.

Desirable nitrogen (N) management practices for turfgrass supply sufficient N for high quality turf while limiting excess soil N. Previous studies suggested the potential of anion exchange membranes (AEMs) for predicting turfgrass color, quality, or yield. However, these studies suggested a wide range of critical soil nitrate-nitrogen (NO3-N) values across sample dates. A field experiment, in randomized complete block design with treatments consisting of nine N application rates, was conducted on a mixed species cool-season turfgrass lawn across two growing seasons. Every 2 wk from May to October, turfgrass color was assessed with three different reflectance meters, and soil NO3-N was measured with in situ AEMs. Cate-Nelson models were developed comparing relative reflectance value and yield to AEM desorbed soil NO3-N pooled across all sample dates. These models predicted critical AEM soil NO3-N values from 0. 45 to 1.4 micro g cm-2 d-1. Turf had a low probability of further positive response to AEM soil NO3-N greater than these critical values. These results suggest that soil NO3-N critical values from AEMs may be applicable across sample dates and years and may serve to guide N fertilization to limit excess soil NO3-N

Spectrum and Variability of Mrk501 as observed by the CAT Imaging Telescope

The CAT Imaging Telescope has observed the BL Lac object Markarian 501 between March and August 1997. We report here on the variability over this time including several large flares. We present also preliminary spectra for all these data, for the low emission state, and for the largest flare.Comment: 4 pages, 4 figures, Late

Observation of the Crab Nebula Gamma-Ray Emission Above 220 Gev by the Cat Cherenkov Imaging Telescope

The CAT imaging telescope, recently built on the site of the former solar plant Themis (French Pyrenees), observed gamma-rays from the Crab nebula from October 1996 to March 1997. This steady source, often considered as the standard candle of very-high-energy gamma-ray astronomy, is used as a test-beam to probe the performances of the new telescope, particularly its energy threshold (220 GeV at 20 degrees zenith angle) and the stability of its response. Due to the fine-grain camera, an accurate analysis of the longitudinal profiles of shower images is performed, yielding the source position in two dimensions for each individual shower.Comment: 5 pages, 3 figures, Tex, contribution to 25th ICRC Durba

Detection of Vhe Gamma-Rays from MRK 501 with the Cat Imaging Telescope

The CAT imaging telescope on the site on the former solar plant Themis has been observing gamma-rays from Mrk501 above 220 GeV in March and April 1997. This source is shown to be highly variable and the light curve is presented. The detected gamma-ray rate for the most intense flare is in excess of 10 per minute.Comment: 5 pages, 4 figures, Tex, contribution to 25th ICRC Durba

Remote sensing imagery segmentation: A hybrid approach

In remote sensing imagery, segmentation techniques fail to encounter multiple regions of interest due to challenges such as dense features, low illumination, uncertainties, and noise. Consequently, exploiting vast and redundant information makes segmentation a difficult task. Existing multilevel thresholding techniques achieve low segmentation accuracy with high temporal difficulty due to the absence of spatial information. To mitigate this issue, this paper presents a new Rényi’s entropy and modified cuckoo search-based robust automatic multi-thresholding algorithm for remote sensing image analysis. In the proposed method, the modified cuckoo search algorithm is combined with Rényi’s entropy thresholding criteria to determine optimal thresholds. In the modified cuckoo search algorithm, the Lévy flight step size was modified to improve the convergence rate. An experimental analysis was conducted to validate the proposed method, both qualitatively and quantitatively against existing metaheuristic-based thresholding methods. To do this, the performance of the proposed method was intensively examined on high-dimensional remote sensing imageries. Moreover, numerical parameter analysis is presented to compare the segmented results against the gray-level co-occurrence matrix, Otsu energy curve, minimum cross entropy, and Rényi’s entropy-based thresholding. Experiments demonstrated that the proposed approach is effective and successful in attaining accurate segmentation with low time complexity