A comparison of methods for the determination of low temperature injury to peach trees

LD2668 .T4 1962 M2

Extreme Ultraviolet Quasar Colours from GALEX Observations of the SDSS DR14Q Catalogue

The rest-frame far to extreme ultraviolet (UV) colour–redshift relationship has been constructed from data on over 480,000 quasars carefully cross-matched between SDSS Data Release 14 and the final GALEX photometric catalogue. UV matching and detection probabilities are given for all the quasars, including dependencies on separation, optical brightness, and redshift. Detection limits are also provided for all objects. The UV colour distributions are skewed redward at virtually all redshifts, especially when detection limits are accounted for. The median GALEX far-UV minus near-UV (FUV − NUV) colour–redshift relation is reliably determined up to z ≈ 2.8, corresponding to rest-frame wavelengths as short as 400 Å. Extreme UV (EUV) colours are substantially redder than found previously, when detection limits are properly accounted for. Quasar template spectra were forward modelled through the GALEX bandpasses, accounting for intergalactic opacity, intrinsic reddening, and continuum slope variations. Intergalactic absorption by itself cannot account for the very red EUV colours. The colour–redshift relation is consistent with no intrinsic reddening, at least for SMC-like extinction. The best model fit has a FUV continuum power-law slope αν, FUV = −0.34 ± 0.03 consistent with previous results, but an EUV slope αν, EUV = −2.90 ± 0.04 that is much redder and inconsistent with any previous composite value (all ≳ −2.0). The EUV slope difference can be attributed in part to the tendency of previous studies to preferentially select UV brighter and bluer objects. The weak EUV flux suggests quasar accretion disc models that include outflows such as disc winds

Low-Cost Access to the Deep, High-Cadence Sky: the Argus Optical Array

New mass-produced, wide-field, small-aperture telescopes have the potential to revolutionize ground-based astronomy by greatly reducing the cost of collecting area. In this paper, we introduce a new class of large telescope based on these advances: an all-sky, arcsecond-resolution, 1000-telescope array which builds a simultaneously high-cadence and deep survey by observing the entire sky all night. As a concrete example, we describe the Argus Array, a 5m-class telescope with an all-sky field of view and the ability to reach extremely high cadences using low-noise CMOS detectors. Each 55 GPix Argus exposure covers 20% of the entire sky to g=19.6 each minute and g=21.9 each hour; a high-speed mode will allow sub-second survey cadences for short times. Deep coadds will reach g=23.6 every five nights over 47% of the sky; a larger-aperture array telescope, with an \'etendue close to the Rubin Observatory, could reach g=24.3 in five nights. These arrays can build two-color, million-epoch movies of the sky, enabling sensitive and rapid searches for high-speed transients, fast-radio-burst counterparts, gravitational-wave counterparts, exoplanet microlensing events, occultations by distant solar system bodies, and myriad other phenomena. An array of O(1,000) telescopes, however, would be one of the most complex astronomical instruments yet built. Standard arrays with hundreds of tracking mounts entail thousands of moving parts and exposed optics, and maintenance costs would rapidly outpace the mass-produced-hardware cost savings compared to a monolithic large telescope. We discuss how to greatly reduce operations costs by placing all optics in a thermally controlled, sealed dome with a single moving part. Coupled with careful software scope control and use of existing pipelines, we show that the Argus Array could become the deepest and fastest Northern sky survey, with total costs below $20M.Comment: 17 pages, 5 figures, 2 table

Low-cost Access to the Deep, High-cadence Sky: the Argus Optical Array

New mass-produced, wide-field, small-aperture telescopes have the potential to revolutionize ground-based astronomy by greatly reducing the cost of collecting area. In this paper, we introduce a new class of large telescope based on these advances: an all-sky, arcsecond-resolution, 1000 telescope array which builds a simultaneously high-cadence and deep survey by observing the entire sky all night. As a concrete example, we describe the Argus Array, a 5 m-class telescope with an all-sky field of view and the ability to reach extremely high cadences using low-noise CMOS detectors. Each 55 GPix Argus exposure covers 20% of the entire sky to m g = 19.6 each minute and m g = 21.9 each hour; a high-speed mode will allow sub-second survey cadences for short times. Deep coadds will reach m g = 23.6 every five nights over 47% of the sky; a larger-aperture array telescope, with an étendue close to the Rubin Observatory, could reach m g = 24.3 in five nights. These arrays can build two-color, million-epoch movies of the sky, enabling sensitive and rapid searches for high-speed transients, fast-radio-burst counterparts, gravitational-wave counterparts, exoplanet microlensing events, occultations by distant solar system bodies, and myriad other phenomena. An array of O(1000) telescopes, however, would be one of the most complex astronomical instruments yet built. Standard arrays with hundreds of tracking mounts entail thousands of moving parts and exposed optics, and maintenance costs would rapidly outpace the mass-produced-hardware cost savings compared to a monolithic large telescope. We discuss how to greatly reduce operations costs by placing all optics in thermally controlled, sealed domes with only a few moving parts. Coupled with careful software scope control and use of existing pipelines, we show that the Argus Array could become the deepest and fastest Northern sky survey, with total costs in the $20M range

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships

PERBANDINGAN FORMULASI TINDAK PIDANA PENCURIAN DATA (DATA THEFT) DALAM KEBIJAKAN HUKUM PIDANA INDONESIA DAN HUKUM PIDANA SINGAPURA

Penelitian dengan judul “Perbandingan Pengaturan atau Formulasi Tindak Pidana Pencurian Data (Data Theft) dalam Kebijakan Hukum Pidana Indonesia dan Hukum Pidana Singapura” ini bertujuan: (1) untuk mengetahui perbandingan pengaturan atau formulasi tindak pidana pencurian data (data theft) dalam Hukum Pidana Indonesia dan Hukum Pidana Singapura pada saat ini (sebagai ius constitutum) dan, (2) untuk mengetahui sumbangan pengaturan atau formulasi tindak pidana pencurian data (data theft) dalam Hukum Pidana Singapura yang dapat diformulasikan dalam Hukum Pidana Indonesia (sebagai ius constituendum). Metode penelitian yang digunakan Penulis dalam penelitian ini adalah metode kualitatif dengan spesifikasi penelitian deskriptif analitis. Sumber data diperoleh dengan pencarian data di lapangan dengan teknik wawancara dengan narasumber, yaitu Hakim dan Jaksa, lalu sumber data juga diperoleh dengan studi pustaka. Data di analisis secara kualitatif atau dengan cara non-statistik atau tanpa menggunakan perhitungan matematis dalam menganalisa suatu permasalahan. Hukum Pidana tentang Pencurian Data Pribadi di Indonesia masih tersebar diberbagai Undang-Undang yang bersifat sektoral, dan belum dijadikan satu hukum khusus yang pasti. Berbeda dengan Singapura yang sudah memiliki satu hukum yang mengatur Tindak Pidana Pencurian Data Pribadi secara khusus dan pasti. Sanksi yang dibebankan pada pelaku Tindak Pidana Pencurian Data Pribadi di Indonesia dan di Singapura kurang lebih sama, yaitu pidana penjara dan denda. Namun ada satu hal yang membedakan sanksi di kedua Negara ini, yaitu di Singapura ada sebuah sanksi untuk menjadi sukarelawan, sedangkan di Indonesia tidak ada sanksi yang melibatkan pekerjaan sukarela, yang dapat direkomendasikan sebagai ius constituendum di Indonesia. Adapun saran yang diberikan adalah sebagai berikut, Indonesia memerlukan satu Undang-Undang khusus yang mengatur tentang Data Pribadi. Sebaiknya RUU tentang Perlindungan Data Pribadi segera disahkan supaya masyarakat terjamin data pribadinya dan tidak ada lagi kasus pencurian data. Penulis juga berharap agar masyarakat Indonesia lebih berhati-hati memberikan data pribadinya masing-masing karena sangat mudah disalahgunakan oleh oknum-oknum yang tidak bertanggungjawa

The Effects of Maritime Transport Investment to the Socio-Economic growth in Tanzania: A case of the Lake Victoria Zone.

The purpose of this study was to examine the effects of maritime transport investment on the socio-economic growth in Tanzania particularly in the Lake Victoria zone. The study adopted a cross-sectional design to collect data from a sample size of 140 respondents. Questionnaire was employed as a data collection instrument. Findings of the study revealed that, investment strategies imposed to stimulate maritime transportation in the Lake Victoria include; development of a skills roadmap focused on delivering long-term skills, advancement of marine technology and innovation techniques, identification of risks and opportunities from existing and emerging regulations, government support on maritime export trade, and use of offshore renewable energy resources and sharing of information on prospects. Findings suggest that, maritime transport investment is constrained by port inefficiency, insufficient cargo volume, inadequacy in human resource, and poor support for an integrated port information management system. The study findings also indicate that, there is a significant positive relationship between maritime transport investment’s measures of success and socio-economic growth. Measures of success including achievement of annual goals, return on investment, and technological infrastructure accounts for 16% of the improvement of socio-economic growth. The study recommends that, Tanzania Port Authority (TPA) in collaboration with Local Government Authority should focus more in investment of human capital and technological infrastructure since they add vital value in international competitiveness, which in return strengthen socio-economic growth. Keywords: Maritime, Transport, Investment, Socio- Economic