cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10048639
title: FARMÁCIA VETERINÁRIA: ANÁLISE DE NICHO DE MERCADO PARA O FARMACÊUTICO NO EXTREMO SUL BAIANO.

description: A presente pesquisa busca o entendimento da área de atuação do profissional farmacêutico na atuação de fármacos e alimentos para animais de pequeno e grande porte. Com o olhar sobre a situação problema: Qual o potencial da atuação profissional farmacêutico, no extremo sul baiano, para no mercado veterinário? O objetivo geral é analisar a atuação do farmacêutico veterinário em clínicas, hospitais, laboratórios e indústrias do setor, realizando atividades como dispensação, manipulação, controle de qualidade, pesquisa e desenvolvimento de novos produtos, os objetivos específicos de identificar as principais dificuldades, demandas e benefícios da interação entre esses profissionais na prática clínica e na saúde animal, analisar as leis que permitem ao profissional farmacêutico atuar na produção e acompanhamento farmacológico veterinário. Investigar evidências sobre a atuação do farmacêutico no mercado de medicamentos veterinários para bovinos e seus marcos regulatórios. A metodologia bibliográfica com recorte temporal em revisão de literatura entre os anos 2015 e 2023, além de uma pesquisa quantitativa estruturada e não estruturada com profissionais médicos veterinários e futuros profissionais da área. Como conclusão, destaca-se o conhecimento abrangente do profissional farmacêutico, inclusive sua capacidade de atuar na medicina veterinária, seja na manipulação de fármacos ou atuando na assistência aos médicos veterinários para garantir a melhor qualidade de vida aos animais de pequeno e grande porte. No entanto, a pesquisa não permite tirar conclusões definitivas sobre as oportunidades e os desafios desse empreendimento. Um dos aspectos que merece mais atenção é o estudo sobre o plano de negócios na região do extremo sul baiano para empreendimentos voltados à farmácia veterinária.
DOI: 10.5281/zenodo.10048660
title: ESTUDO DA CRIPTOCOCOSE NO SISTEMA NERVOSO CENTRAL E SEU DIAGNOSTICO E TRATAMENTO EM IMUNOSSUPRIMIDOS

description: Introdução: Criptococose é uma micose sistêmica de caráter oportunista causada por gênero Cryptococcus, que pode ser encontrada em plantas, frutas, cereais e também em excretos de pássaros. A variedade Cryptococcus neoformans é importante causa de mortalidade em pacientes com HIV, encontrada em diversas fontes ambientais, como cativeiro de aves. O fungo ataca principalmente nos pulmões e no sistema nervoso central. Objetivo: Evidenciar as principais formas de diagnóstico e tratamento da criptococose no sistema nervoso central em imunossuprimidos. Métodos: Para a execução do estudo foi realizada uma busca sistemática de artigos científicos em base de dados Scielo, Pubmed, Google Acadêmico. Revisão de Literatura: Iniciar o tratamento envolve uma série de questões, como as manifestações clínicas da doença, o local da infecção, o estado imunológico do paciente, se ele está infectado pelo HIV, se vai fazer um transplante e entre outros. Conclusão: Foram abordados e esclarecidos os objetivos previamente estabelecidos, incluindo o estudo do histórico, perfil epidemiológico, diagnóstico e tratamento da Criptococose, com um foco especial em pacientes imunossuprimidos, mas ressalta a necessidade contínua de pesquisa e desenvolvimento de estratégias terapêuticas mais eficazes para enfrentar essa doença complexa e seus desafios crescentes.
DOI: 10.5281/zenodo.10048533
title: Appendix for "Properties and Styles of Software Technology Tutorials"

description: This artifact contains details of the resource collection, analysis scripts, and data analyzed in the paper "Properties and Styles of Software Technology Tutorials" by Deeksha M. Arya, Jin L.C. Guo, and Martin P. Robillard.
DOI: 10.5281/zenodo.10048532
title: Appendix for "Properties and Styles of Software Technology Tutorials"

description: This artifact contains details of the resource collection, analysis scripts, and data analyzed in the paper "Properties and Styles of Software Technology Tutorials" by Deeksha M. Arya, Jin L.C. Guo, and Martin P. Robillard.
DOI: 10.5281/zenodo.8139566
title: Longitudinal multimodal MRI dataset of experimental ischemic stroke in male and female rats

description: Preclinical MRI dataset (rat) accompanying https://doi.org/10.1177/0271678X231208993
DOI: 10.5281/zenodo.8139567
title: Longitudinal multimodal MRI dataset of experimental ischemic stroke in male and female rats

description: Preclinical MRI dataset (rat) accompanying https://doi.org/10.1177/0271678X231208993
DOI: 10.5281/zenodo.10048659
title: ESTUDO DA CRIPTOCOCOSE NO SISTEMA NERVOSO CENTRAL E SEU DIAGNOSTICO E TRATAMENTO EM IMUNOSSUPRIMIDOS

description: Introdução: Criptococose é uma micose sistêmica de caráter oportunista causada por gênero Cryptococcus, que pode ser encontrada em plantas, frutas, cereais e também em excretos de pássaros. A variedade Cryptococcus neoformans é importante causa de mortalidade em pacientes com HIV, encontrada em diversas fontes ambientais, como cativeiro de aves. O fungo ataca principalmente nos pulmões e no sistema nervoso central. Objetivo: Evidenciar as principais formas de diagnóstico e tratamento da criptococose no sistema nervoso central em imunossuprimidos. Métodos: Para a execução do estudo foi realizada uma busca sistemática de artigos científicos em base de dados Scielo, Pubmed, Google Acadêmico. Revisão de Literatura: Iniciar o tratamento envolve uma série de questões, como as manifestações clínicas da doença, o local da infecção, o estado imunológico do paciente, se ele está infectado pelo HIV, se vai fazer um transplante e entre outros. Conclusão: Foram abordados e esclarecidos os objetivos previamente estabelecidos, incluindo o estudo do histórico, perfil epidemiológico, diagnóstico e tratamento da Criptococose, com um foco especial em pacientes imunossuprimidos, mas ressalta a necessidade contínua de pesquisa e desenvolvimento de estratégias terapêuticas mais eficazes para enfrentar essa doença complexa e seus desafios crescentes.
DOI: 10.5281/zenodo.10048729
title: Atmospheric trace elements in Pudong, Shanghai
DOI: 10.5281/zenodo.10048730
title: Atmospheric trace elements in Pudong, Shanghai
DOI: 10.5281/zenodo.10041514
title: Maize Phosphorus Leaf Deficiency (MPLD) Database 224x224

description: Monitoring the nutritional status of crops is crucial to assessing high productivity, optimizing cost, and minimizing environmental impact. Given that nutritional deficiencies primarily manifest through visual characteristics, artificial vision stands out as a competitive choice to assess the nutritional status of individual plants.
However, in order to train a supervised artificial vision system driven by convolutional neural networks (CNNs), a high amount of data, properly formatted and labeled is necessary. This work presents a curated image database to study single-nutrient deficiencies, specifically, phosphorus deficiency in maize leaves, named Maize Phosphorus Leaf Deficiency (MPLD) Database.
This database is composed of 20892 samples of maize leaves placed on a withe background. Images are 224x224 pixels size, representing three levels of phosphorus deficiency: complete absence of the nutrient (labeled -P), half dose of the required phosphorus for normal plant development (-P50), and complete supply (C). 
description: Data collection
Image acquisition was done by searching a diversity of conditions, although the plants were grown in laboratory conditions. In this way, photographs included the growth stages of seedling, jointing, and flowering. The images were acquired inside a plastic shed, involving natural illumination, and five consecutive images were taken by plant. 
Five acquisition devices were utilized, encompassing two types of regular smartphones (Xiaomi Redmi 8T and Moto G5 Plus), a digital camera (Samsung ES65), a single-lens reflex camera (Nikon D3100), and a compact scientific camera (ThorLabs DCC1645C-HQ).
Image preprocessing and augmentation
The original images underwent a preprocessing stage in terms of cropping and resizing by four concurrent methods, named: 

Cut to square: Image cropped to a central square.
Quadrant division: Square image divided into four equal parts.
Split into two parts: Rectangular image divided by two.
Padding to square: A withe pad is added on the sides of rectangular image to complete it square.
All cropped images were resized to 224x224 pixels size for fast deep learning model adaptation.
Photos taken by each camera experienced at least two of four possible preprocessing methods, depending on the characteristics of the image. 
 
description: ZIP folder is structured as follows: 

Five main folders represent images taken by each camera. 
Inside every folder, there are three more folders containing each nutritional treatment: -P, -P50, and C. 
Inside each treatment folder, the preprocessed images are placed with no division between preprocessing methods.
DOI: 10.5281/zenodo.10041513
title: Maize Phosphorus Leaf Deficiency (MPLD) Database 224x224

description: Monitoring the nutritional status of crops is crucial to assessing high productivity, optimizing cost, and minimizing environmental impact. Given that nutritional deficiencies primarily manifest through visual characteristics, artificial vision stands out as a competitive choice to assess the nutritional status of individual plants.
However, in order to train a supervised artificial vision system driven by convolutional neural networks (CNNs), a high amount of data, properly formatted and labeled is necessary. This work presents a curated image database to study single-nutrient deficiencies, specifically, phosphorus deficiency in maize leaves, named Maize Phosphorus Leaf Deficiency (MPLD) Database.
This database is composed of 20892 samples of maize leaves placed on a withe background. Images are 224x224 pixels size, representing three levels of phosphorus deficiency: complete absence of the nutrient (labeled -P), half dose of the required phosphorus for normal plant development (-P50), and complete supply (C). 
description: Data collection
Image acquisition was done by searching a diversity of conditions, although the plants were grown in laboratory conditions. In this way, photographs included the growth stages of seedling, jointing, and flowering. The images were acquired inside a plastic shed, involving natural illumination, and five consecutive images were taken by plant. 
Five acquisition devices were utilized, encompassing two types of regular smartphones (Xiaomi Redmi 8T and Moto G5 Plus), a digital camera (Samsung ES65), a single-lens reflex camera (Nikon D3100), and a compact scientific camera (ThorLabs DCC1645C-HQ).
Image preprocessing and augmentation
The original images underwent a preprocessing stage in terms of cropping and resizing by four concurrent methods, named: 

Cut to square: Image cropped to a central square.
Quadrant division: Square image divided into four equal parts.
Split into two parts: Rectangular image divided by two.
Padding to square: A withe pad is added on the sides of rectangular image to complete it square.
All cropped images were resized to 224x224 pixels size for fast deep learning model adaptation.
Photos taken by each camera experienced at least two of four possible preprocessing methods, depending on the characteristics of the image. 
 
description: ZIP folder is structured as follows: 

Five main folders represent images taken by each camera. 
Inside every folder, there are three more folders containing each nutritional treatment: -P, -P50, and C. 
Inside each treatment folder, the preprocessed images are placed with no division between preprocessing methods.
DOI: 10.6084/m9.figshare.24451834
title: The ARRIVE guidelines 2.0: author checklist

description: PDF file of The ARRIVE guidelines for author checklist
DOI: 10.48577/jpl.tpkyl6
title: Overemphasized role of preceding strong El Niño in generating multi-year La Niña events

description: Previous studies have emphasized the significance of a strong El Niño amplitude preceding La Niña (LN) in the generation of multi-year LN events on account of the slow ocean heat content recharge-discharge process in the equatorial Pacific. However, our analysis of observational data spanning from 1900 to 2022 reveals that the majority of multi-year LN events (7 out of 11, or 64%) did not require a preceding strong El Niño to generate their 2nd-year LN, suggesting that there has been an overemphasis on the traditional view. Instead, we identify that a negative phase of the Pacific Meridional Mode (PMM) in the spring, when the 1st-year LN begins to decay, activates the mechanism responsible for triggering another LN and producing a multi-year LN event. This negative PMM is characterized by cold surface temperature anomalies extending southwestward from the Baja California coast towards the equator. The westward extension of the 1st-year LN cold anomalies, which interact directly with the eastern edge of the western Pacific warm pool, is highlighted as a crucial factor in the occurrence of a negative PMM. Additionally, our findings further suggest that the PMM mechanism can cause the formation of a 3rd-year LN, resulting in triple-dip LN events.
DOI: 10.48577/jpl.d7wfm6
title: Precipitation Microphysics in Tropical Cyclones: A Global Perspective Using the NASA Global Precipitation Measurement Mission Dual-Frequency Precipitation Radar

description: Precipitation microphysics in tropical cyclones (TCs) are often poorly represented in nu-merical simulations, which ultimately affects TC structure, evolution, and prediction. This provides a large incentive to better observe and understand the underlying microphysical processes in TCs in order to improve precipitation forecasts and improve warning operations. 59 TCs from 2014-2020 were matched up with overpasses from the NASA Global Precipitation Measurement (GPM) mission Dual-Frequency Precipitation Radar (DPR) on a global scale to identify cloud properties and associated precipitation processes by quantifying vertical slopes of reflectivity in the liquid and ice phase. Further, vertical profiles of reflectivity were partitioned into different 850-200 hPa shear-relative quadrants of each storm, different annuli from the storm center, and 6 TC ocean basins globally. Preliminary results showed the downshear-left quadrant exhibited the highest frequency of negative slopes of reflectivity in the liquid phase indicating collision-coalescence dominant precipitation. Additionally, all shear-relative quadrants revealed negative slopes of reflectivity in the ice phase implying ice hydrometeor growth. These findings can potentially be used to improve the representation of cloud properties and the accuracy of the DPR particle size distribution algorithm in TCs.
DOI: 10.48577/jpl.eydpzq
title: The Near-Earth Object Surveyor Mission

description: The Near-Earth Object Surveyor (NEOS) mission is a NASA observatory designed to discover and characterize near-Earth asteroids and comets. The mission’s primary objective is to find the majority of objects large enough to cause severe regional impact damage (&gt;140 m in effective spherical diameter) within its five-year baseline survey. Operating at the Sun-Earth L1 Lagrange (SEL1) point, the mission will survey to within 45 degrees of the Sun in an effort to find the objects in the most Earth-like orbits. The survey cadence is optimized to provide observational arcs long enough to reliably distinguish near- Earth objects from more distant small bodies that cannot pose an impact hazard. Over the course of its survey, NEOS will discover ∼200,000 - 300,000 new near-Earth objects down to sizes as small as ∼10 m and thousands of comets, significantly improving our understanding of the probability of an Earth impact over the next century.
DOI: 10.48577/jpl.t3zlef
title: Io’s polar volcanic thermal emission supports shallow tidal heating and magma ocean models

description: The distribution of volcanic activity on Io, the most volcanically active object in the Solar System is the result of tidally-induced internal heating. Models predict enhanced heat flow at Io’s poles if tidal heating is deep in the mantle, and at lower latitudes if heating is predominantly in the asthenosphere or a magma ocean is present. We must first understand the distribution and magnitude of Io’s tidal heating in order to determine the current position of Io in the evolving orbital resonance with Europa and Ganymede. However, previous missions did not adequately observe Io’s poles. The desired global measurements of volcanic thermal emission were made possible only when NASA’s Juno mission entered a polar orbit around Jupiter in 2016. Here we show that the distribution of volcanic 4.8-μm spectral radiance supports the shallow tidal heating model. We have created the first global mapping of 4.8-μm spectral radiance from 266 volcanic hot spots identified in Juno Jovian Infrared Auroral Mapper (JIRAM) data. We find 60% more volcanic spectral radiance per unit area at latitudes lower than 60°. Although the numbers of hot spots per unit area are not greatly different, polar volcanoes emit less energy at 4.8 μm than volcanoes at lower latitudes by a factor of more than two. This result is consistent with shallow (aesthenospheric) tidal heating models or the presence of global magma ocean. Our results also show that north polar volcano spectral radiance is more than twice that of south polar volcanoes, suggesting dichotomies in structure and volcanic advection between polar regions.
DOI: 10.48577/jpl.vyyyzf
title: Timing synchronization for quantum communications

description: We present a time synchronization method for correlation of photon arrival times for quantum communication. The method employs a low-power, low-frequency synchronization beacon that shares the quantum channel, and is detected using the same single-photon detectors already present in the quantum communication system. We show experimentally that the system jitter approaches the system resolution limit with negligible impact on the quantum channel in realistic use cases. The presented method is particularly suitable for long distance quantum communication with large clock drifts, such as quantum links involving satellites.
DOI: 10.48577/jpl.04mtdj
title: THE MICROWAVE TEMPERATURE AND HUMIDITY PROFILER: DESCRIPTION AND PRELIMINARY RESULTS

description: This manuscript presents the Microwave Temperature and Humidity Profiler (MTHP), a dual-band spectroradiometer designed for measuring multi-incidence angle temperature and humidity atmospheric profiles from an aircraft platform. The MTHP bands are at 60 GHz for measuring the oxygen complex lines, therefore at this band MTHP has a hyperspectral radiometer able to probide 2048 channels over 8 GHz bandwith, and the 183 GHz for measureing water vapor, which only uses 4 channels since this absorption band spectral richness is simpler. The MTHP builds upon the Microwave Temperature Profiler (MTP) with the inclusion of the hyperspectral readiometer. The instrument's de- sign, components, and calibration methods are discussed in detail, with a focus on the three-point calibration scheme involving internal calibration loads and static air tempera- ture readings. Preliminary results from the Technological Innovation into Iodine and GV aircraft Environmental Research (TI3GER) campaign are presented, showcasing the in- strument's performance during flights across diverse geographical regions. The manu- script highlights successful temperature and humidity profile retrievals and compares the measured data with simulations using the Atmospheric Radiative Transfer Simulator (ARTS). Additionally, the manuscript draws attention to potential Radio Frequency Inter- ference (RFI) effects observed during a specific flight, underscoring the instrument's sen- sitivity to external interference. This is the first time ever of an airborne demonstration of a broadband and hyperspectral multi-incidence angle 60 GHz measurements. Following MTHP works could result on an improved spatial resolution a of the atmospherical tem- perature vertical profile, and hence help estimating the Planetary Boundary Layer (PBL) with better accuracy. The MTHP and its hyperspectral multi-incidence angle at 60 GHz has potential to be a valuable tool for investigating the PBL's role in atmospheric dynam- ics, offering insights into its impact on Earth's energy, water, and carbon cycles.
DOI: 10.48577/jpl.krxcmr
title: Revisiting the 2015 Mw=8.3 Illapel earthquake: Unveiling complex fault slip properties using Bayesian inversion

description: The 2015 moment magnitude MW = 8.3 Illapel earthquake is the largest mega-thrust earth-2 quake that has been recorded along the Chilean subduction zone since the 2010 MW = 8.83 Maule earthquake. Previous studies indicate a rupture propagation from the hypocenter to shal- lower parts of the fault, with a maximum slip varying from 10 to 16 meters. The amount of shallow slip differs dramatically between rupture models with some results showing almost no slip at the trench and other models with significant slip at shallow depth. In this work, we revisit this event by combining a comprehensive data set including continuous and survey GNSS data corrected for post-seismic and aftershock signals, ascending and descending In- SAR images of the Sentinel-1A satellite, tsunami data along with high-rate GPS, and doubly integrated strong-motion waveforms. We follow a Bayesian approach, in which the solution is an ensemble of models. The kinematic inversion is done using the cascading capability of the AlTar algorithm, allowing us to first get a static solution before integrating seismic data in a joint model. In addition, we explore a new approach to account for forward problem un- certainties using a second-order perturbation approach. Results show a rupture with two main slip patches, with significant slip at shallow depth. During the rupture propagation, we ob- serve two regions that are encircled by the rupture, with no significant slip, westward of the hypocenter. These encircling effects have been previously suggested by back-projection results but have not been observed in finite-fault slip models. We propose that the encircled regions correspond to regions where the yield stress largely exceeds the initial stress or regions where fracture energy is too large to be ruptured during earthquakes such as the Illapel one. These asperities may potentially break in the future and probably already broke in the past