The aim of this work is to use the AquaCrop model for irrigation and water productivity assessment of Table grapes in arid region of Mexico during 2005 and 2006 cropping seasons. The irrigation efficiency was investigated by comparing the irrigation scheduling design used by the farmer to the AquaCrop model recommendations. Data analysis showed that the farmer irrigates almost every day, which res

The detection of oligonucleotides is a central step in many biomedical investigations. The most commonly used methods for detecting oligonucleotides often require concentration and amplification before detection. Therefore, developing detection methods with a direct read-out would be beneficial. Although commonly used for the detection of amplified oligonucleotides, fluorescent molecular beacons h

Context. The internal kinematics of the Large Magellanic Cloud (LMC) have been studied in unprecedented depth thanks to the excellent quality of the Gaia mission data, thus revealing the disc’s non-axisymmetric structure. Aims. We seek to constrain the LMC bar pattern speed using the astrometric and spectroscopic data from the Gaia mission. Methods. We applied three methods to evaluate the bar pat

Software development is a complex activity that needs a lot of tool assistance. Over the years there has been a lot of effort put into development of automated assistance to help with activities such as detection of issues via program analysis, or refactoring of code. Recently, the landscape of developer tool assistance is being disrupted with the entry of AI tools, such as Copilot and ChatGPT, po

Ammonia (NH3) has been widely considered as a promising carbon-free energy and hydrogen carrier for various applications. The large-scale direct utilization of NH3 as fuel in gas turbine engines is currently attracting significant interest, with strong focuses on improving the efficiency and stability of the system and reducing the emissions of pollutants. The present study experimentally examined

BACKGROUND: The landmark EAT-Lancet Commission proposed that a planetary health diet is comprised mainly of plant-based foods. However, studies examining whether this diet is associated with heart failure (HF) are currently lacking. In addition, the potential proteomics mechanism on the association between diet and HF warrants further elucidation.OBJECTIVES: This study aims to both examine the ass

Self-monitoring is essential for effectively regulating learning, but difficult in visual diagnostic tasks such as radiograph interpretation. Eye-tracking technology can visualize viewing behavior in gaze displays, thereby providing information about visual search and decision-making. We hypothesized that individually adaptive gaze-display feedback improves posttest performance and self-monitoring

Background: Tumor budding (Bd) is a suggested risk factor for recurrence and decreased survival in colorectal cancer. Histopathological detection of Bd indicates increased invasive and migratory potential of the tumor cells.Objectives: This study aimed to explore the impact of Bd on oncological outcomes.Design: Retrospective cohort study.Patient and Methods: Patients treated with abdominal curativ

IMPORTANCE: Prostate-specific antigen (PSA) screening has potential to reduce prostate cancer mortality but frequently detects prostate cancer that is not clinically important.OBJECTIVE: To describe rates of low-grade (grade group 1) and high-grade (grade groups 2-5) prostate cancer identified among men invited to participate in a prostate cancer screening protocol consisting of a PSA test, a 4-ka

Adolescence and emerging adulthood are key developmental stages with high risk for trauma exposure and the development of mental and substance use disorders (SUDs). The aim of this study was to compare the clinical profiles of adolescents (aged 12-17 years) and emerging adults (aged 18-25 years) presenting for treatment of posttraumatic stress disorder (PTSD) and SUD. Design/methodology/approach:

Revisiting the citizenship regimes of Myanmar and India through a comparative lens, this article argues that a specter of the “potential foreigner” is decisive in the adjudication of citizenship in both countries. Citizenship is conceptualized not only on the basis of who is a citizen, but a perennial suspicion towards those who may not be. We frame this argument in the context of increasingly res

We introduce the concept photophysical image analysis (PIA) and an associated pipeline for unsupervised probabilistic image thresholding for images recorded by electron-multiplying charge-coupled device (EMCCD) cameras. We base our approach on a closed-form analytic expression for the characteristic function (Fourier-transform of the probability mass function) for the image counts recorded in an E

Support for Ukraine against Russian aggression has been strong across Europe, but it is far from uniform. An expert survey of the positions taken by political parties in 29 countries conducted mid-2023 reveals that 97 of 269 parties reject one or more of the following: providing weapons, hosting refugees, supporting Ukraine's path to European Union membership, or accepting higher energy costs. Whe

Soil microbes play an important role in governing global processes such as carbon cycling, but it is challenging to study them embedded in their natural environment and at the single cell level due to the opaque nature of the soil. Nonetheless, progress has been achieved in recent years towards visualizing microbial activities and organo-mineral interaction at the pore scale, especially thanks to

Why should moral philosophers, moral psychologists, and machine ethicists care about computational complexity? Debates on whether artificial intelligence (AI) can or should be used to solve problems in ethical domains have mainly been driven by what AI can or cannot do in terms of human capacities. In this paper, we tackle the problem from the other end by exploring what kind of moral machines areWhy should moral philosophers, moral psychologists, and machine ethicists care about computational complexity? Debates on whether artificial intelligence (AI) can or should be used to solve problems in ethical domains have mainly been driven by what AI can or cannot do in terms of human capacities. In this paper, we tackle the problem from the other end by exploring what kind of moral machines are