bluuebunny/crossref_metadata_2025 huggingface dataset:
Seed Cryopreservation and Germination of Rhus glabra and the Critically Endangered Species Rhus michauxii
Authors: Pullman Gerald S. , Bucalo Kylie , Determann Ron O. , Cruse-Sanders Jennifer M.
Published: October 2021

Rhus michauxii is a perennial rhizomatous shrub native to the southeastern United States that is found mainly in sunny, dry, open rocky or sandy woodlands. Moreover, it is found on ridges or river bluffs in the inner coastal plane and lower piedmont of Virginia, Georgia, and the Carolinas. Habitat conversion to agriculture, suppression of fires, and low reproduction have caused R. michauxii to become rare and it is now federally listed as threatened. Methods are needed to multiply and conserve R. michauxii. Protocols were developed for seed cryopreservation, in vitro germination, and micropropagation for R. glabra and R. michauxii. Seed scarification in concentrated sulfuric acid for 6 h and germination on ½ MS medium resulted in germination up to 96% for control and cryopreserved seeds of R. glabra and 70 and 40% for control and cryopreserved seeds of R. michauxii. Shortly after germination in vitro, young seedlings were established in a greenhouse potting mix providing new plants from the endemic Georgia R. michauxii populations. Several of the findings meet goals within the R. michauxii recovery plan by providing methods for sexual and asexual multiplication and long-term seed storage under cryogenic conditions. The protocols developed will assist in the safeguarding and conservation of dwindling natural R. michauxii populations.
Uncovering the Nature of Urban Land Use Composition Using Multi-Source Open Big Data with Ensemble Learning
Authors: Tu Ying , Chen Bin , Lang Wei , Chen Tingting , Li Miao , Zhang Tao , Xu Bing
Published: October 2021

Detailed information on urban land uses has been an essential requirement for urban land management and policymaking. Recent advances in remote sensing and machine learning technologies have contributed to the mapping and monitoring of multi-scale urban land uses, yet there lacks a holistic mapping framework that is compatible with different end users’ demands. Moreover, land use mix has evolved to be a key component in modern urban settings, but few have explicitly measured the spatial complexity of land use or quantitively uncovered its driving forces. Addressing these challenges, here we developed a novel two-stage bottom-up scheme for mapping essential urban land use categories. In the first stage, we conducted object-based land use classification using crowdsourcing features derived from multi-source open big data and an automated ensemble learning approach. In the second stage, we identified parcel-based land use attributes, including the dominant type and mixture mode, by spatially correlating land parcels with the object-based results. Furthermore, we investigated the potential influencing factors of land use mix using principal components analysis and multiple linear regression. Experimental results in Ningbo, a coastal city in China, showed that the proposed framework could accurately depict the distribution and composition of urban land uses. At the object scale, the highest classification accuracy was as high as 86% and 78% for the major (Level I) and minor (Level II) categories, respectively. At the parcel scale, the generated land use maps were spatially consistent with the object-based maps. We found larger parcels were more likely to be mixed in land use, and industrial lands were characterized as the most complicated category. We also identified multiple factors that had a collective impact on land use mix, including geography, socioeconomy, accessibility, and landscape metrics. Altogether, our proposed framework offered an alternative to investigating urban land use composition, which could be applied in a broad range of implications in future urban studies.
Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data
Authors: Morsy Mona , Taghizadeh-Mehrjardi Ruhollah , Michaelides Silas , Scholten Thomas , Dietrich Peter , Schmidt Karsten
Published: October 2021

Water depletion is a growing problem in the world’s arid and semi-arid areas, where groundwater is the primary source of fresh water. Accurate climatic data must be obtained to protect municipal water budgets. Unfortunately, the majority of these arid regions have a sparsely distributed number of rain gauges, which reduces the reliability of the spatio-temporal fields generated. The current research proposes a series of measures to address the problem of data scarcity, in particular regarding in-situ measurements of precipitation. Once the issue of improving the network of ground precipitation measurements is settled, this may pave the way for much-needed hydrological research on topics such as the spatiotemporal distribution of precipitation, flash flood prevention, and soil erosion reduction. In this study, a k-means cluster analysis is used to determine new locations for the rain gauge network at the Eastern side of the Gulf of Suez in Sinai. The clustering procedure adopted is based on integrating a digital elevation model obtained from The Shuttle Radar Topography Mission (SRTM 90 × 90 m) and Integrated Multi-Satellite Retrievals for GPM (IMERG) for four rainy events. This procedure enabled the determination of the potential centroids for three different cluster sizes (3, 6, and 9). Subsequently, each number was tested using the Empirical Cumulative Distribution Function (ECDF) in an effort to determine the optimal one. However, all the tested centroids exhibited gaps in covering the whole range of elevations and precipitation of the test site. The nine centroids with the five existing rain gauges were used as a basis to calculate the error kriging. This procedure enabled decreasing the error by increasing the number of the proposed gauges. The resulting points were tested again by ECDF and this confirmed the optimum of thirty-one suggested additional gauges in covering the whole range of elevations and precipitation records at the study site.
Recent Progress on Vegetation Remote Sensing Using Spaceborne GNSS-Reflectometry
Authors: Wu Xuerui , Guo Peng , Sun Yueqiang , Liang Hong , Zhang Xinggang , Bai Weihua
Published: October 2021

Vegetation is an important part of the terrestrial ecosystem and plays a vital role in the global carbon cycle. Traditional remote sensing methods have certain limitations in vegetation monitoring, and the development of GNSS-R (Global Navigation Satellite System-Reflectometry) technology provides a new and complimentary method. With the CYGNSS (Cyclone Global Navigation Satellite System) launch and the increased data acquisition, the use of spaceborne GNSS-R for vegetation monitoring has become a research hotspot. However, due to the complex characteristics of vegetation, its application in this field is still in the exploratory research stage. On the basis of reviewing the current research status, this paper points out the weak links of this technology in terms of polarization and observation geometry. Combined with the microwave vegetation scattering model, this paper analyzes the full polarization bistatic scattering characteristics of vegetation and points out the influence of vegetation parameters (density, water content, and vegetation diameters). The potential feasibility of polarization GNSS-R and future development trends of GNSS-R technology in quantitative retrieval (such as vegetation water content and biomass) are also discussed.
Applying Airborne LiDAR to Map Salt Marsh Inland Boundaries
Authors: van Ardenne Lee B. , Chmura Gail L.
Published: October 2021

The determination of rates and stocks of carbon storage in salt marshes, as well as their protection, require that we know where they and their boundaries are. Marsh boundaries are conventionally mapped through recognition of plant communities using aerial photography or satellite imagery. We examined the possibility of substituting the use of 1 m resolution LiDAR-derived digital elevation models (DEMs) and tidal elevations to establish salt marsh upper boundaries on the New Brunswick coasts of the Gulf of St. Lawrence and the Bay of Fundy, testing this method at tidal ranges from ≤2 to ≥4 m. LiDAR-mapped marsh boundaries were verified with high spatial resolution satellite imagery and a subset through field mapping of the upland marsh edge based upon vegetation and soil characteristics, recording the edge location and elevation with a Differential Geographic Positioning System. The results show that the use of high-resolution LiDAR and tidal elevation data can successfully map the upper boundary of salt marshes without the need to first map plant species. The marsh map area resulting from our mapping was ~30% lower than that in the province’s aerial-photograph-based maps. However, the difference was not primarily due to the location of the upper marsh boundaries but more so because of the exclusion of mudflats and large creeks (features that are not valued as carbon sinks) using the LiDAR method that are often mapped as marsh areas in the provincial maps. Despite some minor limitations, the development of DEMs derived from LiDAR can be applied to update and correct existing salt marsh maps along extensive sections of coastlines in less time than required to manually trace from imagery. This is vital information for governments and NGOs seeking to conserve these environments, as accurate mapping of the location and area of these ecosystems is a necessary basis for conservation prioritization indices.
Characterizing Leaf Nutrients of Wetland Plants and Agricultural Crops with Nonparametric Approach Using Sentinel-2 Imagery Data
Authors: Dlamini Mandla , Chirima George , Sibanda Mbulisi , Adam Elhadi , Dube Timothy
Published: October 2021

In arid environments of the world, particularly in sub-Saharan Africa and Asia, floodplain wetlands are a valuable agricultural resource. However, the water reticulation role by wetlands and crop production can negatively impact wetland plants. Knowledge on the foliar biochemical elements of wetland plants enhances understanding of the impacts of agricultural practices in wetlands. This study thus used Sentinel-2 multispectral data to predict seasonal variations in the concentrations of nine foliar biochemical elements in plant leaves of key floodplain wetland vegetation types and crops in the uMfolozi floodplain system (UFS). Nutrient concentrations in different floodplain plant species were estimated using Sentinel-2 multispectral data derived vegetation indices in concert with the random forest regression. The results showed a mean R2 of 0.87 and 0.86 for the dry winter and wet summer seasons, respectively. However, copper, sulphur, and magnesium were poorly correlated (R2 ≤ 0.5) with vegetation indices during the summer season. The average % relative root mean square errors (RMSE’s) for seasonal nutrient estimation accuracies for crops and wetland vegetation were 15.2 % and 26.8%, respectively. There was a significant difference in nutrient concentrations between the two plant types, (R2 = 0.94 (crops), R2 = 0.84 (vegetation). The red-edge position 1 (REP1) and the normalised difference vegetation index (NDVI) were the best nutrient predictors. These results demonstrate the usefulness of Sentinel-2 imagery and random forests regression in predicting seasonal, nutrient concentrations as well as the accumulation of chemicals in wetland vegetation and crops.
Textured Mesh Generation Using Multi-View and Multi-Source Supervision and Generative Adversarial Networks
Authors: Wen Mingyun , Park Jisun , Cho Kyungeun
Published: October 2021

This study focuses on reconstructing accurate meshes with high-resolution textures from single images. The reconstruction process involves two networks: a mesh-reconstruction network and a texture-reconstruction network. The mesh-reconstruction network estimates a deformation map, which is used to deform a template mesh to the shape of the target object in the input image, and a low-resolution texture. We propose reconstructing a mesh with a high-resolution texture by enhancing the low-resolution texture through use of the super-resolution method. The architecture of the texture-reconstruction network is like that of a generative adversarial network comprising a generator and a discriminator. During the training of the texture-reconstruction network, the discriminator must focus on learning high-quality texture predictions and to ignore the difference between the generated mesh and the actual mesh. To achieve this objective, we used meshes reconstructed using the mesh-reconstruction network and textures generated through inverse rendering to generate pseudo-ground-truth images. We conducted experiments using the 3D-Future dataset, and the results prove that our proposed approach can be used to generate improved three-dimensional (3D) textured meshes compared to existing methods, both quantitatively and qualitatively. Additionally, through our proposed approach, the texture of the output image is significantly improved.
Continuous Human Activity Recognition through Parallelism LSTM with Multi-Frequency Spectrograms
Authors: Ding Congzhang , Jia Yong , Cui Guolong , Chen Chuan , Zhong Xiaoling , Guo Yong
Published: October 2021

According to the real-living environment, radar-based human activity recognition (HAR) is dedicated to recognizing and classifying a sequence of activities rather than individual activities, thereby drawing more attention in practical applications of security surveillance, health care and human–computer interactions. This paper proposes a parallelism long short-term memory (LSTM) framework with the input of multi-frequency spectrograms to implement continuous HAR. Specifically, frequency-division short-time Fourier transformation (STFT) is performed on the data stream of continuous activities collected by a stepped-frequency continuous-wave (SFCW) radar, generating spectrograms of multiple frequencies which introduce different scattering properties and frequency resolutions. In the designed parallelism LSTM framework, multiple parallel LSTM sub-networks are trained separately to extract different temporal features from the spectrogram of each frequency and produce corresponding classification probabilities. At the decision level, the probabilities of activity classification from these sub-networks are fused by addition as the recognition output. To validate the proposed method, an experimental data set is collected by using an SFCW radar to monitor 11 participants who continuously perform six activities in sequence with three different transitions and random durations. The validation results demonstrate that the average accuracies of the designed parallelism unidirectional LSTM (Uni-LSTM) and bidirectional LSTM (Bi-LSTM) based on five frequency spectrograms are 85.41% and 96.15%, respectively, outperforming traditional Uni-LSTM and Bi-LSTM networks with only a single-frequency spectrogram by 5.35% and 6.33% at least. Additionally, the recognition accuracy of the parallelism LSTM network reveals an upward trend as the number of multi-frequency spectrograms (namely the number of LSTM subnetworks) increases, and tends to be stable when the number reaches 4.
Terrestrial Laser Scanning for Quantifying Timber Assortments from Standing Trees in a Mixed and Multi-Layered Mediterranean Forest
Authors: Alvites Cesar , Santopuoli Giovanni , Hollaus Markus , Pfeifer Norbert , Maesano Mauro , Moresi Federico Valerio , Marchetti Marco , Lasserre Bruno
Published: October 2021

Timber assortments are some of the most important goods provided by forests worldwide. To quantify the amount and type of timber assortment is strongly important for socio-economic purposes, but also for accurate assessment of the carbon stored in the forest ecosystems, regardless of their main function. Terrestrial laser scanning (TLS) became a promising tool for timber assortment assessment compared to the traditional surveys, allowing reconstructing the tree architecture directly and rapidly. This study aims to introduce an approach for timber assortment assessment using TLS data in a mixed and multi-layered Mediterranean forest. It consists of five steps: (1) pre-processing, (2) timber-leaf discrimination, (3) stem detection, (4) stem reconstruction, and (5) timber assortment assessment. We assume that stem form drives the stem reconstruction, and therefore, it influences the timber assortment assessment. Results reveal that the timber-leaf discrimination accuracy is 0.98 through the Random Forests algorithm. The overall detection rate for all trees is 84.4%, and all trees with a diameter at breast height larger than 0.30 m are correctly identified. Results highlight that the main factors hindering stem reconstruction are the presence of defects outside the trunk, trees poorly covered by points, and the stem form. We expect that the proposed approach is a starting point for valorising the timber resources from unmanaged/managed forests, e.g., abandoned forests. Further studies to calibrate its performance under different forest stand conditions are furtherly required.
Sequentially Delineation of Rooftops with Holes from VHR Aerial Images Using a Convolutional Recurrent Neural Network
Authors: Huang Wei , Liu Zeping , Tang Hong , Ge Jiayi
Published: October 2021

Semantic and instance segmentation methods are commonly used to build extraction from high-resolution images. The semantic segmentation method involves assigning a class label to each pixel in the image, thus ignoring the geometry of the building rooftop, which results in irregular shapes of the rooftop edges. As for instance segmentation, there is a strong assumption within this method that there exists only one outline polygon along the rooftop boundary. In this paper, we present a novel method to sequentially delineate exterior and interior contours of rooftops with holes from VHR aerial images, where most of the buildings have holes, by integrating semantic segmentation and polygon delineation. Specifically, semantic segmentation from the Mask R-CNN is used as a prior for hole detection. Then, the holes are used as objects for generating the internal contours of the rooftop. The external and internal contours of the rooftop are inferred separately using a convolutional recurrent neural network. Experimental results showed that the proposed method can effectively delineate the rooftops with both one and multiple polygons and outperform state-of-the-art methods in terms of the visual results and six statistical indicators, including IoU, OA, F1, BoundF, RE and Hd.
Prevalence, Fertility, and Viability of Cystic Echinococcosis in Cattle Slaughtered at Adaba Abattoir, West Arsi Zone, Ethiopia
Authors: Gutama Kirubel Paulos , Pal Mahendra
Published: October 2021

Introduction: Cystic echinococcosis is a zoonotic infection caused by larval stage of Echinococcus granulosus, which is a widely prevalent disease of public health and economic importance. This cross-sectional study was undertaken from January to July 2019 in Adaba abattoir to estimate the prevalence of cystic echinococcosis, investigate its potential risk factors, and to characterize the cysts. Materials and Methods: A total of 400 samples were collected and processed. The study animals were chosen using a simple random sampling method. Potential risk factors were assessed by ante-mortem examination. A post-mortem examination was also performed, which included a primary examination (visual inspection and palpation of the lung, liver, heart, spleen, and kidney) and a secondary examination (incisions into each organ in the presence of one or more hydatid cysts). The total number of cysts found per organ and their sizes were recorded. The prevalence of cystic echinococcosis was summarized using descriptive statistics, and the chi-square test was used to assess infection status in relation to the hypothesized risk factors. A probability level of P < 0.05 was set for statistical significance. Results: The overall prevalence of cystic echinococcosis was recorded to be 34.5% (95% CI: 14.69-22.90). The disease was statistically significantly (P < 0.05) associated with age and body condition scores, but insignificantly (P3> 0.05) associated with gender. Of the total of infected cattle, a large number of cysts were found in lung 60 (35.7%). After characterization of the cysts based on size, 69 (48.9%), 62 (43.9%), and 10 (7.1%) cysts were categorized as small, medium, and large, respectively. Of the total cysts examined, 27 (16%) were calcified, 101 (60.1%) were sterile, and 33 (23.9%) were fertile. Out of the total fertile cysts identified, 25 (62.5%) were found to be viable and 15 (37.5%) were non-viable cysts. Conclusion: It is deduced that cystic echinococcosis is widespread in cattle slaughtered and it is a major cause of organ condemnation at Adaba abattoir. Therefore, it is imperative that efficient meat inspection service and safe disposal of condemned organs should be meticulously practiced in order to control this parasitic zoonosis.
The Effect of Monomycin and Gentamycin Sulfate on Growth of Promastigotes of Leishmania Under In Vitro Conditions
Authors: Garedaghi Yagoob , Firouzivand Yaghoub , Khan Ahmadi Behrad , Zarei Alireza , Salehizadeh Ebrahim
Published: October 2021

Introduction: Given the prevalence of leishmaniasis in some parts of Iran and the medical problems caused by it and considering some reports on the effectiveness of monomycin in treating the disease, this study was performed to determine the effect of this drug on Leishmania major promastigotes in vitro. Materials and Methods: The study was conducted experimentally. Drug films containing 15% monomycin sulfate and 0.5% gentamicin sulfate were prepared using ethyl cellulose and hydroxypropyl methyl cellulose (HPMC) with the aim of developing a treatment for cutaneous leishmaniasis. In order to investigate the mechanism of drug release and its effect on parasites, the modified Novy-MacNeal-Nicolle (NNN) medium was used for the amplification of the parasites and the growth inhibition zone around the drug release areas was measured. The studied environments included environments containing drug discs, environments without drug discs, and environments with placebo discs. The rates of dead and live parasites were determined in these environments and statistically compared using chi-square test. Results: It was revealed that the growth of parasite colonies was inhibited in the plates containing drug films. In 3-cm halo around the drug film, no parasite growth was observed and promastigotes were observed to be dead and degenerated. However, in the plates containing placebo and medium without film, parasitic colonies were observed. The survival rate of the parasites in placebo and drug-free plates was 96% and it was 7% in the drug plate (P<0.000). Conclusion: Monomycin and gentamicin sulfate drug discs have good potential for gradual release. They affect the growth of the parasite and can be used in humans.
Collaborators with the NKVD in the Prisoner-of-War Camp at Kozelsk
Authors: JACZYŃSKI Stanisław
Published: October 2021

The document refers to Polish officers seized by the NKVD authorities in the summer of 1940 from internment camps in Lithuania and Latvia and imprisoned in the Kozelsk camp. The prisoners were subjected to massive indoctrination aimed at changing their ideological and political attitudes and recruiting from amongst them secret collaborators (confidants). Several dozens of Polish officers of lower ranks with leftist views started to cooperate, to varying degrees, with the Soviet authorities. They advocated close military and political cooperation with the USSR. They were ostracised by a vast majority of prisoners of war who remained faithful to their military oath.
An investigation based on removal of ibuprofen and its transformation products by a batch activated sludge process: A kinetic study
Authors: Özgüven Ayşe , Öztürk Dilara , Bayram Tuba
Published: October 2021

Ibuprofen metabolites can form in humans as a result of metabolic activities or can be produced by microorganisms in wastewater treatment plants and receiving environments, which increases their likelihood of being present in the environment. In this study, various experiments were conducted to determine the removal degree for ibuprofen, ibuprofen carboxylic acid (IBU-CBX), and 2-hydroxylated ibuprofen (IBU-2-OH) metabolites with an activated sludge reactor. Furthermore, the pseudo-first-order biodegradation rate constant (kbiol) (17.76 L/g SS day) was calculated to determine the decomposition degree of ibuprofen in the batch activated sludge system. The effects of different ibuprofen concentrations (8.2, 5.6, 3.2, 1.51 mg/L) at constant biomass concentration (3 g/L) on the biodegradation mechanism were investigated. In addition, IBU-2-OH and IBU-CBX were tested in a batch activated sludge reactor with a volume of 2 L individually at 100 μg/L with activated sludge containing 3 g/L biomass. It was observed that ibuprofen had a removal efficiency of more than 90%. IBU-CBX and IBU-2-OH were removed at approximately 27-91% and 18-82%, respectively. In abiotic conditions, the removal of ibuprofen was found to be 7.07%. It was confirmed that the removal of ibuprofen largely depended on biological degradation. This study enabled us to know which metabolites are involved in the biodegradation process of ibuprofen in batch experiments with the activated sludge process.
Penghidupan Berkelanjutan (Sustainable Livelihood) Rukun Nelayan Tanggulangin Kecamatan Klirong Kabupaten Kebumen
Authors: Fitri Zulaikhah , Sugihardjo Sugihardjo , Wibowo Agung
Published: October 2021

Rukun Nelayan Tanggulangin selama ini masih bergantung pada hasil tangkapan ikan padahal sumber daya yang tersedia dapat dimanfaatkan dan dikelola dengan baik untuk meningkatkan penghidupan. Pendekatan penghidupan berkelanjutan dibutuhkan guna menentukan nelayan mempertahankan hidupnya. Penelitian ini bertujuan untuk mengkaji penghidupan berkelanjutan Rukun Nelayan Tanggulangin untuk dapat bertahan hidup. Penelitian ini menggunakan metode kualitatif deskriptif dan analisis data secara interaktif dan berlangsung secara terus menerus hingga data jenuh. Hasil penelitian menunjukkan bahwa penghidupan berkelanjutan yang dilakukan oleh Rukun Nelayan Tanggulangin adalah dengan tetap mempertahankan sarana penangkapan ikan secara tradisional dan ramah lingkungan; mempertahankan modal sosial; memanfaatkan peluang mata pencaharian lain sesuai dengan sumber daya alam yang tersedia serta memberdayakan anak, saudara dan istri nelayan.Kata kunci :  berkelanjutan, penghidupan, rukun nelayan
LINE WEBTOON SEBAGAI INDUSTRI KOMIK DIGITAL
Authors: Lestari Annisa Fitriana , Irwansyah Irwansyah
Published: October 2021

Because of internet and smartphones, various industries and their products have changed. Comics as one form of the reading industry also experienced this impact. Conventional comics are changing into digital comics, which can be read via cellphones. One of the digital comic services is LINE Webtoon, which has successfully become a popular comic application in various countries, including Indonesia. The purpose of this study is to provide an overview, deepen and develop the concept of Webtoon, especially LINE Webtoon. This research using qualitative descriptive as method. The results showed that the Webtoon was developed from a conventional form of comics in South Korea called manhwa. Manhwa change into digital because the decline of conventional comic market and technological advancements that developed in South Korea. As an industry, LINE Webtoon expanded its business with presenting paid content, creating advertisements, looking for talented comics, and adapting across media to popular Webtoon works.
Pandemic paradoxes and how they affect your workers
Authors: Leslie Jean
Published: October 2021

COVID-19 pandemic tensions and contradictions are being felt and experienced across the US at many levels: societal, organizational, and individual. One way to understand, work though, and address some of the tensions that workers are experiencing is through “paradoxical thinking.” Paradoxical thinking helps to see on-going, unresolvable, contradictory tensions as forces that can fuel innovation and performance. Using a paradox lens, this paper was written to help make sense of the crises leaders and workers are experiencing as the COVID-19 pandemic stretches on. The paper begins with a brief overview of the sources of data, the meaning of paradox, and illustrates five paradoxes experienced during the pandemic by providing information on the potential impact of COVID-19 on workers. Finally, empirically proven strategies for dealing with paradoxes are presented.
PROBABILIDAD DE RIESGO ASOCIADO A LA PRESENCIA DE MACROQUISTES DE Sarcocystis spp. EN CANALES DE CAMÉLIDOS SUDAMERICANOS DOMÉSTICOS EN ECUADOR
Authors: Hidalgo Pozo Jonathan , Yánez Ortiz Iván , Salazar Silva Richard , Mena Miño Luis
Published: October 2021

El objetivo del presente estudio fue determinar la probabilidad de riesgo asociado a la presencia de macroquistes de Sarcocystis spp. en canales de camélidos sudamericanos domésticos (CSDs) faenadas en la Empresa Pública Metropolitana de Rastro Quito (EMRAQ-EP) entre noviembre de 2017 y enero de 2018. Se utilizaron un total de 54 canales que fueron agrupadas por especie (43 de alpacas [41] y llamas [2], y 11 de híbridos), sexo (36 de machos y 18 de hembras) y edad (16 de jóvenes [menores de 5 años] y 38 de adultos [mayores de 5 años]). La prueba de Chi cuadrado de Pearson (P<0,05) fue empleada para establecer los factores de riesgo asociados y se utilizó una regresión logística múltiple para determinar la magnitud de la asociación con la presencia de sarcoquistes macroscópicos. La prevalencia estimada de macroquistes del parásito en las canales de CSDs fue de 31,48% (17/54). La especie y el sexo no fueron factores de riesgo asociados; sin embargo, la edad si fue un factor de riesgo, mostrando una tendencia de una posible asociación (P=0,06) que indica que los animales adultos (mayores de 5 años) tienen 4,68 veces más probabilidades de presentar macroquistes de Sarcocystis spp. en comparación con los animales jóvenes (menores de 5 años). La probabilidad de riesgo asociado a la presencia de sarcoquistes macroscópicos resultó ser mayor (45,51%) en las canales de hembras adultas (mayores de 5 años) pertenecientes a una especie de CSDs (alpacas y llamas).
The specifics of the interaction of a civilized society with a barbaric one: internal and external aspects
Authors: Сулимов С.И. , Черниговских И.В.
Published: October 2021

в статье рассматриваются особенности взаимодействия цивилизованного общества с его варварскими соседями. Авторы полагают, что такое общество не может стать жертвой победоносного нашествия внешних варваров до тех пор, пока само не откажется от цивилизованного образа жизни, а это возможно только под влиянием внутреннего импульса.

the article examines the features of the interaction of a civilized society with its barbaric neighbors. The authors believe that such a society cannot become a victim of the victorious invasion of external barbarians until it itself renounces the civilized way of life, and this is possible only under the influence of an internal impulse.
The concept of state policy for the formation of a harmonious educational space in the multiethnic environment of secondary schools in the Moscow region
Authors: Ершов В.Ф.
Published: October 2021

в статье рассматривается государственная образовательная политика в сфере реализации перспективного комплекса учебно-методических, организационных и общественно-культурных мероприятий по интеграции детей-иммигрантов в российский социум. Раскрывается перспективное значение научно-исследовательской разработки вопросов интеграции детей-инофонов в российское образовательное пространство, особенностей их языковой и культурной адаптации, методики организации учебного процесса и др. Актуальность статьи определяется задачами дальнейшего строительства в России гармоничного общества, совершенствования методики преподавания, формирования толерантного образовательного пространства в школах Подмосковья. Автор приходит к выводу о том, что современная система образования России успешно решает данный вопрос, обеспечивая обучение детей-иммигрантов на необходимом уровне. В то же время существуют направления возможного дополнительного совершенствования учебно-методической и психологической работы с детьми-инофонами в целях их быстрейшей и комфортной интеграции в социум страны проживания – России. Стремление детей иммигрантов получить образование и интегрироваться в российское общество делает их креативными гражданами страны, укрепляя межцивилизационный диалог в рамках стран СНГ и всего постсоветского пространства.

the paper examines the state educational policy in the implementation of a promising complex of educational, methodological, organizational, and socio-cultural activities for the integration of immigrant children into the Russian society. The article reveals the promising significance of the research development of the issues of integrating children-speakers of other languages into the Russian educational space, the peculiarities of their linguistic and cultural adaptation, methods of organizing the educational process, etc. The relevance of the article is determined by the tasks of further building a harmonious society in Russia, improving teaching methods, forming a tolerant educational space in schools in the Moscow region. The author concludes that the modern education system in Russia successfully solves this issue, providing education for immigrant children at the required level. At the same time, there are directions for possible additional improvement of educational, methodological, and psychological work with the children-speakers of other languages to integrate them quickly and comfortably into the society of the country of residence – Russia. The desire of immigrant children to get an education and integrate into Russian society makes them creative citizens of the country, strengthening the inter-civilizational dialogue within the CIS countries and the entire post-Soviet space.
Promotion of a healthy lifestyle in Russia and China The first results of COVID-19 and trends in the post-COVID economy
Authors: Sharko Elena
Published: October 2021

The COVID-19 pandemic has not only become a test for all mankind, but also gave reason to rethink the attitude to their health not only for people from the high-risk category, but also for everyone. Before the pandemic, the concept of a healthy lifestyle was gaining a powerful economic momentum (popularization of communities associated with fitness products, advertising, healthy products, etc.). But has the trend changed after the restrictions were eased? The purpose of this paper is to find out whether the healthy lifestyle concept affected the preservation of the health of the nation during the pandemic (is there a link between the level of national health and the degree of resistance to pandemics?). The study focuses on two countries — Russia and China. The difference in the population’s perception of the healthy lifestyle concept, promotion of a healthy lifestyle at the governmental level, and the assessment of its effectiveness are determined based on the analysis of secondary statistical data, a survey of 1,230 respondents from Russia and China in late 2020 — early 2021, as well as using econometric factor analysis. The results obtained can be scaled to the rest of the BRICS countries in order to adapt existing state programs to preserving the health of nations in the future.
Using Mixed Methods Research to Explore User Loyalty in Selected Academic Libraries in Ghana With an Emphasis on Rigorousness
Authors: Agyei Dominic Dankwah
Published: October 2021

In recent times, there has been a progressive increase in the use of mixed methods research design among library and information science (LIS) researchers. While this observation is encouraging, the challenge that needs to be resolved by stakeholders is the quality of the findings of these studies. Just as studies that use qualitative or quantitative research designs have quality indicators, studies that are guided by mixed methods research designs should also be measured with appropriate quality indicators. Methodological rigor (how rigorous a study is conducted) has thus become a keen focus in mixed methods research. This chapter is a report on the experience of how rigor was achieved in a Ph.D. thesis that used an exploratory sequential mixed methods research design to explore strategies for building user loyalty in selected academic libraries in Ghana. This chapter contributes to the debate on mixed methods research in LIS by highlighting basic rigor indicators.
Circular RNA circSamd4a Regulates Antiviral Immunity in Teleost Fish by Upregulating STING through Sponging miR-29a-3p
Authors: Su Hui , Zheng Weiwei , Pan Jiajia , Lv Xing , Xin Shiying , Xu Tianjun
Published: October 2021

Circular RNAs (circRNAs) are a subgroup of endogenous noncoding RNA that is covalently closed rings and widely expressed. In recent years, there is accumulating evidence indicating that circRNAs are a class of important regulators, which play an important role in various biological processes. However, the biological functions and regulation mechanism of circRNAs in lower vertebrates are little known. In this study, we discovered a circRNA Samd4a (circSamd4a) that is related to the antiviral immune response of teleost fish. It can act as a key regulator of the host’s antiviral response and play a key role in inhibiting Sininiperca chuatsi rhabdovirus replication. Further studies have shown that circSamd4a may act as a competing endogenous RNA, which can enhance the STING-mediated NF-κB/IRF3 signaling pathway by adsorbing miR-29a-3p, thereby enhancing the antiviral immune response. Therefore, circSamd4a plays an active regulatory role in the antiviral immune response of bony fish. Our research results provide a strong foundation for circular RNA to play a regulatory role in the antiviral immune response of teleost fish.
Об оценках объема нулей голоморфной функции, зависящей от комплексного параметра
Authors: Kytmanov Aleksandr Mechislavovich , Sadullaev Azimbay Sadullaevich
Published: October 2021

Для голоморфной функции $f(\sigma,z)$, $\sigma\in\mathbb{C}^{m}$, $z\in\mathbb{C}^{n}$,
дается равномерная по $\sigma $ оценка объема нулей множества $z\colon f(\sigma,z)=0\}$.
Такие оценки очень полезны в вопросах изучения осциллирующих интегралов
$$
J(\lambda,\sigma)=\int_{\mathbb{R}^{n} }a(\sigma, x)e^{i\lambda \Phi (\sigma, x)} dx
$$
при $\lambda \to \infty $. Здесь
$a(\sigma, x)\in C_{0}^{\infty } (\mathbb{R}^{n} \times\mathbb{R}^{m})$ -
так называемая амплитудная функция и $\Phi (\sigma, x)$ - функция фазы.
Библиография: 9 названий.
Levantamento de indicadores financeiros-chave da incorporação imobiliária
Authors: Amaral Tatiana Gondim , Queiroz Adriano Luiz Santos
Published: October 2021

Real estate development is the business activity characterized by realty production that will include activities from the planning of a set of properties and their commercialization during construction. When we compare the indicators of this area with other types of companies, we realize that it is a subject still relatively little addressed in studies and, when studied, there are more references for Construction than for Real Estate Development. In this sense, a case study was conducted through semi-structured interviews with the purpose of raising the financial indicators, those that are most often taken into account at a strategic level (launch or continuation of a construction, reassess sales and competition), the degree of importance and the degree of difficulty in measuring these performance indicators. During the survey, it was found that the real estate developer analyzed has 60% of its indicators with the degree of importance five, the largest of the adopted scale, and has in its measurement degree the average measurement difficulty of 3.06. For market validation, seven of the eight common indicators with ADEMI-GO surveys have a degree of importance greater than four. The main difficulty in measuring the indicators raised is the excess of manual labor; in other words, the lack of integration between the Company's platforms that would compile the various input data into a summary, a single panel containing all indicators.
Gestão de riscos na construção civil: mapeamento sistemático da literatura
Authors: Castro Roberto Portela de , Carvalho Michele Tereza Marques
Published: October 2021

The globalized economic crisis, which began in 2008, affected the Civil Construction Industry. In this scenario of uncertainty, Risk Management (GR) becomes paramount for the success of the projects and for the survival of companies in the Architecture, Engineering, Construction, and Operation (AECO) area. The objective of this work is to show trends in GR in the publications in the last 5 years, identifying gaps, which point to the need for more research. In this sense, the Systematic Literature Mapping (MSL) was used as a method to identify and treat the information. As tendencies, were observed: the expressive amount of studies in developing countries; the representativeness of Corporate Risk Management; and maintaining the importance of the risks associated with the Triangle of Constraints (cost, term and quality). Already as gaps and opportunity for future studies, stand out: the management of opportunity; risk management throughout the supply chain; association with new methodologies; and the GR approach in the post-work phase. In this context, the main contribution was the gaps and opportunities for studies and future research.
Classificação dos fatores de risco relacionados com a produtividade da construção civil
Authors: Chaves Lárdner Gadelha , Campos Vanessa Ribeiro
Published: October 2021

The activities that seek to improve productivity are considered one of the main concerns of construction companies. Studies on this topic provide a better understanding as well as initiatives to make processes more efficient. In this context, this paper identifies the risk factors that most affect productivity in the construction industry, and proposes a classification for them in order to identify its main sources of occurrence. A bibliographical study from periodicals and scientific events was carried out with a total of 17 papers that identified and hierarchized these factors. Thus, the risks were classified according to four categories, presented according to their order of importance: process, materials, environment and workers. Finally, some measures are indicated to mitigate or prevent the occurrence of these phenomena.
Plataforma de datos abiertos de contratacion de obras públicas del gobierno colombiano
Authors: Gomez-Cabrera Adriana , Ponz-Tienda Jose Luis , Pellicer Eugenio , Torres Andres
Published: October 2021

In recent years, transparency in public procurement has increased considerably as a strategy to curb corruption and implement best practices by governments. Since 2007, Colombia has been implementing different approaches in this sense, which have been evaluated by international bodies with outstanding results. The country's open data platform is mandatory, and all public entities must publish the processes carried out there. This paper presents the “Sistema Electrónico de Contratación Pública de Colombia – SECOP” with emphasis on the construction phase of infrastructure projects, which contains information on all stages of construction projects. There are examples of data and analysis that can be made from them.
Fatores que afetam o desempenho acadêmico no ensino on-line de gestão da construção
Authors: Moratti Tathyana , Oviedo-Haito Ricardo Juan José
Published: October 2021

Devido à pandemia de COVID-19 as universidades se viram forçadas a migrar as aulas presenciais para o ambiente on-line, impactando o desempenho acadêmico dos estudantes. Nesta pesquisa objetiva-se identificar os fatores que influenciam o desempenho acadêmico dos estudantes no ensino on-line. Desta forma, para os estudantes de três turmas on-line da disciplina de Planejamento e Gestão de Obras, foi elaborado e enviado um questionário de autoavaliação no primeiro semestre de 2020. A partir da análise de 267 respostas recebidas foi verificado que, apesar dos benefícios identificados, 74,91% dos respondentes acreditam que houve algum prejuízo nas atividades realizadas on-line. Entre os estudantes, 29,5% apontaram como principal fator de haver prejuízo, o ambiente de estudo (estar em casa). Entretanto, apenas 6,74% dos estudantes perceberam que o seu desempenho acadêmico foi insuficiente. O principal motivo apontado, por não haver um melhor desempenho acadêmico, foi a falta de dedicação/concentração pessoal (32,58%). Esta pesquisa contribui para a identificação de fatores que influenciam o desempenho acadêmico no ensino on-line provocado pela pandemia; constatando-se que, apesar de os estudantes terem a percepção de haver prejuízo, o desempenho acadêmico não foi significativamente impactado; e que este depende principalmente da dedicação/concentração do próprio estudante.
Cálculo do equivalente metabólico (met) na execução do serviço de contrapiso
Authors: Gregolis Caio Dantas , Paliari José Carlos
Published: October 2021

A construção civil é uma indústria tradicional e ainda se mostra conservadora nos métodos de execução de seus serviços, apesar dos avanços tecnológicos. Os trabalhos nos canteiros de obras são realizados, em sua maioria, manualmente, exigindo o emprego de esforços físicos intensos, repetitivos e de longas durações. Os trabalhadores deste setor estão mais sujeitos à fadiga. O objetivo principal deste trabalho é avaliar ergonomicamente a execução do serviço de contrapiso através de uma estimativa do equivalente metabólico, considerando as etapas que englobam desde o recebimento de materiais até a remoção dos resíduos. Para isto, foi utilizado o instrumento de análise ergonômica MET (The Standard Metabolic Equivalent), que estima o dispêndio energético. Foi realizado um estudo de caso, com dados coletados em campo em um empreendimento vertical residencial de alto padrão na cidade de São Paulo, onde foi avaliada a execução de um contrapiso do tipo flutuante. Os resultados obtidos apontaram para uma predominância de atividades de trabalho moderado, exceto para as atividades que envolviam o manejo e transporte de ferramentas e materiais, tendo sido classificadas como trabalho pesado. Estes dados contribuem para a idealização de um compêndio de atividades físicas da construção civil.
Análise do sistema de gestão da qualidade em três empresas da construção civil do Ceará
Authors: Sampaio Andressa Dyalla de Sá , Alcântara Caio Siebra , Campos Vanessa Ribeiro
Published: October 2021

A gestão da qualidade na construção civil é primordial para as empresas que procuram diferenciais competitivos como melhorias de qualidade para atender às expectativas dos clientes. Apesar disso, a implantação de um Sistema de Gestão de Qualidade (SGQ) na construção civil possui dificuldades em assimilar as necessidades do mercado ou do cliente final. O presente trabalho tem como objetivo avaliar o SGQ de três empresas do Ceará, destacando os principais elementos formadores e suas dificuldades de manutenção. Essa análise foi feita por meio da aplicação de um questionário com 13 questões discursivas para caracterização do SGQ na estrutura das empresas da construção civil. Dessa forma, foi possível elaborar uma discussão analítica sobre a importância do Sistema de Gestão de Qualidade para as construtoras e a estrutura de implantação e manutenção do SGQ dessas empresas, destacando os elementos de inspeção, acompanhamento dos serviços e vantagens relacionadas à valorização do cliente.