Public Articles
Unlocking the Potential of High-Resolution Satellite Imagery for Soybean (Glycine max (L.) Merr.) Phenotyping and Maturity Estimation in Plant Breeding
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Occupancy and N-mixture modeling applications in ecology: A bibliometric analysis
and 6 collaborators
Sub-Monthly Mass Change Signal over Ilulissat Glacier in Greenland from GRACE-FO Laser Interferometry Data
and 5 collaborators
Robust cellular immune responses to BNT162b2 SARS-CoV-2 mRNA vaccine in T2DM individuals in Bangladesh
and 3 collaborators
Arabian Journal For Science And Engineering Template
Detecting Location Errors with ERA5 Pseudo Stations
and 7 collaborators
WiPtFruIM: A Digital Platform for Interlinking Biocollections of Wild Plants, Fruits, Associated Insects, and their Molecular Barcodes
and 6 collaborators
The current knowledge on insects preying on fruits is limited, and some of the scarce existing data on fruit-associated insects are secluded within the host institutions. Consequently, their value is not fully realized. However, the integration and interlinking of historical biocollections data of plants, fruits, and insects, collected in Kenya, within a digital framework have not been fully exploited. This necessitates the need to enhance accessibility by consolidating the historical biodiversity data onto a unified platform. To address these gaps, this article presents a description of the development of a web-based platform for data sharing and integrating biodiversity historical data of wild plants, fruits, associated insects, and their molecular barcodes (WiPtFruIM) while leveraging data science technologies. The platform holds invaluable potential in fruit pest management, by providing information on potential biocontrol agents for fruit pests, which can function as a decision-making tool and fruit-pest ecological modeling. The platform is invaluable information to a worldwide community (such as researchers, classroom education, nature enthusiasts, fruit pest management, modeling, etc.) to make informed decisions and build innovative tools.
keywords
Biodiversity, Biocollections, Plants-insect Interaction, Digitization, Data Integration, Ecology, Natural History Collections
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The Bones of the Milky Way
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ABSTRACT The very long, thin infrared dark cloud Nessie is even longer than had been previously claimed, and an analysis of its Galactic location suggests that it lies directly in the Milky Way’s mid-plane, tracing out a highly elongated bone-like feature within the prominent Scutum-Centaurus spiral arm. Re-analysis of mid-infrared imagery from the Spitzer Space Telescope shows that this IRDC is at least 2, and possibly as many as 8 times longer than had originally been claimed by Nessie’s discoverers, \citet{Jackson2010}; its aspect ratio is therefore at least 150:1, and possibly as large as 800:1. A careful accounting for both the Sun’s offset from the Galactic plane (∼25 pc) and the Galactic center’s offset from the (lII, bII)=(0, 0) position defined by the IAU in 1959 shows that the latitude of the true Galactic mid-plane at the 3.1 kpc distance to the Scutum-Centaurus Arm is not b = 0, but instead closer to b = −0.5, which is the latitude of Nessie to within a few pc. Apparently, Nessie lies in the Galactic mid-plane. An analysis of the radial velocities of low-density (CO) and high-density (${\rm NH}_3$) gas associated with the Nessie dust feature suggests that Nessie runs along the Scutum-Centaurus Arm in position-position-velocity space, which means it likely forms a dense ‘spine’ of the arm in real space as well. No galaxy-scale simulation to date has the spatial resolution to predict a Nessie-like feature, but extant simulations do suggest that highly elongated over-dense filaments should be associated with a galaxy’s spiral arms. Nessie is situated in the closest major spiral arm to the Sun toward the inner Galaxy, and appears almost perpendicular to our line of sight, making it the easiest feature of its kind to detect from our location (a shadow of an Arm’s bone, illuminated by the Galaxy beyond). Although the Sun’s (∼25 pc) offset from the Galactic plane is not large in comparison with the half-thickness of the plane as traced by Population I objects such as GMCs and HII regions (∼200 pc; \citet{2013A&ARv..21...61R}), it may be significant compared with an extremely thin layer that might be traced out by Nessie-like “bones” of the Milky Way. Future high-resolution extinction and molecular line data may therefore allow us to exploit the Sun’s position above the plane to gain a (very foreshortened) view “from above" of dense gas in Milky Way’s disk and its structure.
ZeroRabiesApp: Enhancing human post-exposure rabies prophylaxis in canine rabies endemic regions with an interactive web solution
and 4 collaborators
쇼어의 알고리즘
우리가 해결하려는 문제는 홀수인 합성수 N이 주어졌을 때, 그 정수 인수를 찾는 것입니다.
이를 위해 쇼어의 알고리즘은 두 부분으로 구성되어 있습니다:
소인수분해 문제를 위수 찾기 문제로 전환하는 고전적 치환. 이 치환은 이차 체 등 다른 소인수분해 알고리즘에서 사용되는 것과 유사합니다.
위수 찾기 문제를 해결하기 위한 양자 알고리즘
완전한 소인수분해 알고리즘은 임의의 N을 두 개의 1보다 큰 정수 p와 q로 효율적으로 분해할 수 있다면 충분합니다. 왜냐하면 만약 p 또는 q가 소수가 아니라면 소수만 남을 때까지 소인수분해 알고리즘을 반복할 수 있기 때문입니다.
기본적으로 유클리드 알고리즘을 사용하면 두 정수의 최대공약수(GCD)를 효율적으로 계산할 수 있습니다. 특히 이를 통해 N이 짝수인지 여부를 효율적으로 확인할 수 있는데 이 경우 2가 자명한 인수입니다. 따라서 나머지 토론에서는 N이 홀수임을 가정합니다. 그 후에는 N이 소수의 제곱인지를 확인하기 위해 효율적인 고전적인 알고리즘을 사용할 수 있습니다. 소수 제곱에 대해서는 효율적인 고전적인 인수분해 알고리즘이 존재하기 때문에 양자 알고리즘은 N이 소수 제곱이 아닌 경우에 진행합니다.
만약 이러한 경우들로 N의 비자명한 인수를 찾지 못한다면, 알고리즘은 남은 경우에 대응하도록 진행됩니다. 먼저 2 이상 N 미만의 무작위 정수 a를 선택합니다. 유클리드 알고리즘을 사용하여 gcd(a, N)을 계산함으로써 N의 비자명한 약수를 찾을 수 있습니다. 만약 결과가 비자명한 인수를 생성하면(즉 \(\gcd\left(a,N\right)\ne1\)) 알고리즘이 종료되고 다른 비자명한 인수는 N / gcd(a, N)입니다. 만약 비자명한 인수가 식별되지 않았다면 이는 N과 선택된 a는 서로 소임을 의미합니다. 이제 알고리즘은 a의 위수 r을 반환하는 양자 서브루틴 \(a^r\equiv1\ \mod N\) 을 실행합니다.
양자 서브루틴은 a와 N이 서로소임을 요구하며, 이 시점에서 gcd(a, N)이 N에 대한 비자명한 인수를 생성하지 않았음을 의미합니다. 모듈로 연산을 통해 a^r ≡ 1 (mod N)인 r을 찾습니다. 이때 r은 주기입니다.
양자 하위 루틴은 N이 홀수인 경우에만 작동합니다. 따라서 r이 홀수인 경우 알고리즘이 처음부터 다시 시작해야 합니다.
그런 다음 알고리즘은 gcd(N, a^(r/2) + 1)을 계산하여 N에 대한 비자명한 인수를 찾습니다. 이 값이 비자명하지 않으면 다른 인수는 N / gcd(N, a^(r/2) + 1)입니다. 이렇게 해서 알고리즘은 완료됩니다.
Lecture 1 - Some cooking recipes for Quantum Mechanics
and 1 collaborator
Agroforestry: An adaptation measure for sub-Saharan African food systems in response to increased weather extremes due to climate change
and 1 collaborator
Clinicians Risk Becoming "Liability Sinks" for Artificial Intelligence
and 9 collaborators
A Review of Literature Relating to the Advertisement of Online Gambling Sites
TMPbaz
A document with interactive graphics
History shows Galileo to be much more than an astronomical hero. His clear and careful record keeping and publication style not only let Galileo understand the Solar System, it continues to let anyone understand how Galileo did it. Galileo’s notes directly integrated his data (drawings of Jupiter and its moons), key metadata (timing of each observation, weather, telescope properties), and text (descriptions of methods, analysis, and conclusions). Critically, when Galileo included the information from those notes in Siderius Nuncius \cite{galilei}, this integration of text, data and metadata was preserved, as shown in Figure 1. Galileo’s work advanced the “Scientific Revolution,” and his approach to observation and analysis contributed significantly to the shaping of today’s modern ”Scientific Method” \cite{galilei1618assayer,galilei1957discoveries}.
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Frugal Science: The Science for all