bluuebunny/crossref_metadata_2025 huggingface dataset:
Missing Burns in the High Northern Latitudes: The Case for Regionally Focused Burned Area Products
Authors: Chen Dong , Shevade Varada , Baer Allison , Loboda Tatiana V.
Published: October 2021

Global estimates of burned areas, enabled by the wide-open access to the standard data products from the Moderate Resolution Imaging Spectroradiometer (MODIS), are heavily relied on by scientists and managers studying issues related to wildfire occurrence and its worldwide consequences. While these datasets, particularly the MODIS MCD64A1 product, have fundamentally improved our understanding of wildfire regimes at the global scale, their performance may be less reliable in certain regions due to a series of region- or ecosystem-specific challenges. Previous studies have indicated that global burned area products tend to underestimate the extent of the burned area within some parts of the boreal domain. Despite this, global products are still being regularly used by research activities and management efforts in the northern regions, likely due to a lack of understanding of the spatial scale of their Arctic-specific limitations, as well as an absence of more reliable alternative products. In this study, we evaluated the performance of two widely used global burned area products, MCD64A1 and FireCCI51, in the circumpolar boreal forests and tundra between 2001 and 2015. Our two-step evaluation shows that MCD64A1 has high commission and omission errors in mapping burned areas in the boreal forests and tundra regions in North America. The omission error overshadows the commission error, leading to MCD64A1 considerably underestimating burned areas in these high northern latitude domains. Based on our estimation, MCD64A1 missed nearly half the total burned areas in the Alaskan and Canadian boreal forests and the tundra during the 15-year period, amounting to an area (74,768 km2) that is equivalent to the land area of the United States state of South Carolina. While the FireCCI51 product performs much better than MCD64A1 in terms of commission error, we found that it also missed about 40% of burned areas in North America north of 60° N between 2001 and 2015. Our intercomparison of MCD64A1 and FireCCI51 with a regionally adapted MODIS-based Arctic Boreal Burned Area (ABBA) shows that the latter outperforms both MCD64A1 and FireCCI51 by a large margin, particularly in terms of omission error, and thus delivers a considerably more accurate and consistent estimate of fire activity in the high northern latitudes. Considering the fact that boreal forests and tundra represent the largest carbon pool on Earth and that wildfire is the dominant disturbance agent in these ecosystems, our study presents a strong case for regional burned area products like ABBA to be included in future Earth system models as the critical input for understanding wildfires’ impacts on global carbon cycling and energy budget.
Remote-Sensing-Based Streamflow Forecasting Using Artificial Neural Network and Support Vector Machine Models
Authors: Alquraish Mohammed M. , Khadr Mosaad
Published: October 2021

In this study, we aimed to investigate the hydrological performance of three gridded precipitation products—CHIRPS, RFE, and TRMM3B42V7—in monthly streamflow forecasting. After statistical evaluation, two monthly streamflow forecasting models—support vector machine (SVM) and artificial neural network (ANN)—were developed using the monthly temporal resolution data derived from these products. The hydrological performance of the developed forecasting models was then evaluated using several statistical indices, including NSE, MAE, RMSE, and R2. The performance measures confirmed that the CHIRPS product has superior performance compared to RFE 2.0 and TRMM data, and it could provide reliable rainfall estimates for use as input in forecasting models. Likewise, the results of the forecasting models confirmed that the ANN and SVM both achieved acceptable levels of accuracy for forecasting streamflow; however, the ANN model was superior (R2 = 0.898–0.735) to the SVM (R2 = 0.742–0.635) in both the training and testing periods.
Managing Time-Sensitive IoT Applications via Dynamic Application Task Distribution and Adaptation
Authors: Korala Harindu , Georgakopoulos Dimitrios , Jayaraman Prem Prakash , Yavari Ali
Published: October 2021

The recent proliferation of the Internet of Things has led to the pervasion of networked IoT devices such as sensors, video cameras, mobile phones, and industrial machines. This has fueled the growth of Time-Sensitive IoT (TS-IoT) applications that must complete the tasks of (1) collecting sensor observations they need from appropriate IoT devices and (2) analyzing the data within application-specific time-bounds. If this is not achieved, the value of these applications and the results they produce depreciates. At present, TS-IoT applications are executed in a distributed IoT environment that consists of heterogeneous computing and networking resources. Due to the heterogeneous and volatile nature (e.g., unpredictable data rates and sudden disconnections) of the IoT environment, it has become a major challenge to ensure the time-bounds of TS-IoT applications. Many existing task management techniques (i.e., techniques that are used to manage the execution of IoT applications in distributed computing resources) that have been proposed to support TS-IoT applications to meet their time-bounds do not provide a sophisticated and complete solution to manage the TS-IoT applications in a manner in which their time-bounds are guaranteed. This paper proposes TIDA, a comprehensive platform for managing TS-IoT applications that includes a task management technique, called DTDA, which incorporates novel task sizing, distribution, and dynamic adaptation techniques. DTDA’s task sizing technique measures the computing resources required to complete each task of the TS-IoT application at hand in each available IoT device, edge computer (e.g., network gateways), and cloud virtual machine. DTDA’s task distribution technique distributes and executes the tasks of each TS-IoT application in a manner that their time-bound requirements are met. Finally, DTDA includes a task adaptation technique that dynamically adapts the distribution of tasks (i.e., redistributes TS-IoT application tasks) when it detects a potential application time-bound violation. The paper describes a proof-of-concept implementation of TIDA that uses Microsoft’s Orleans Actor Framework. Finally, the paper demonstrates that the DTDA task management technique of TIDA meets the time-bound requirements of TS-IoT applications by presenting an experimental evaluation involving real time-sensitive IoT applications from the smart city domain.
Identification of Amaranthus Species Using Visible-Near-Infrared (Vis-NIR) Spectroscopy and Machine Learning Methods
Authors: Sohn Soo-In , Oh Young-Ju , Pandian Subramani , Lee Yong-Ho , Zaukuu John-Lewis Zinia , Kang Hyeon-Jung , Ryu Tae-Hun , Cho Woo-Suk , Cho Youn-Sung , Shin Eun-Kyoung
Published: October 2021

The feasibility of rapid and non-destructive classification of six different Amaranthus species was investigated using visible-near-infrared (Vis-NIR) spectra coupled with chemometric approaches. The focus of this research would be to use a handheld spectrometer in the field to classify six Amaranthus sp. in different geographical regions of South Korea. Spectra were obtained from the adaxial side of the leaves at 1.5 nm intervals in the Vis-NIR spectral range between 400 and 1075 nm. The obtained spectra were assessed with four different preprocessing methods in order to detect the optimum preprocessing method with high classification accuracy. Preprocessed spectra of six Amaranthus sp. were used as input for the machine learning-based chemometric analysis. All the classification results were validated using cross-validation to produce robust estimates of classification accuracies. The different combinations of preprocessing and modeling were shown to have a classification accuracy of between 71% and 99.7% after the cross-validation. The combination of Savitzky-Golay preprocessing and Support vector machine showed a maximum mean classification accuracy of 99.7% for the discrimination of Amaranthus sp. Considering the high number of spectra involved in this study, the growth stage of the plants, varying measurement locations, and the scanning position of leaves on the plant are all important. We conclude that Vis-NIR spectroscopy, in combination with appropriate preprocessing and machine learning methods, may be used in the field to effectively classify Amaranthus sp. for the effective management of the weedy species and/or for monitoring their food applications.
Adversarial Self-Supervised Learning for Robust SAR Target Recognition
Authors: Xu Yanjie , Sun Hao , Chen Jin , Lei Lin , Ji Kefeng , Kuang Gangyao
Published: October 2021

Synthetic aperture radar (SAR) can perform observations at all times and has been widely used in the military field. Deep neural network (DNN)-based SAR target recognition models have achieved great success in recent years. Yet, the adversarial robustness of these models has received far less academic attention in the remote sensing community. In this article, we first present a comprehensive adversarial robustness evaluation framework for DNN-based SAR target recognition. Both data-oriented metrics and model-oriented metrics have been used to fully assess the recognition performance under adversarial scenarios. Adversarial training is currently one of the most successful methods to improve the adversarial robustness of DNN models. However, it requires class labels to generate adversarial attacks and suffers significant accuracy dropping on testing data. To address these problems, we introduced adversarial self-supervised learning into SAR target recognition for the first time and proposed a novel unsupervised adversarial contrastive learning-based defense method. Specifically, we utilize a contrastive learning framework to train a robust DNN with unlabeled data, which aims to maximize the similarity of representations between a random augmentation of a SAR image and its unsupervised adversarial example. Extensive experiments on two SAR image datasets demonstrate that defenses based on adversarial self-supervised learning can obtain comparable robust accuracy over state-of-the-art supervised adversarial learning methods.
A Quantitative Model for Optical Coherence Tomography
Authors: Veselka Leopold , Krainz Lisa , Mindrinos Leonidas , Drexler Wolfgang , Elbau Peter
Published: October 2021

Optical coherence tomography (OCT) is a widely used imaging technique in the micrometer regime, which gained accelerating interest in medical imaging in the last twenty years. In up-to-date OCT literature, certain simplifying assumptions are made for the reconstructions, but for many applications, a more realistic description of the OCT imaging process is of interest. In mathematical models, for example, the incident angle of light onto the sample is usually neglected or a plane wave description for the light–sample interaction in OCT is used, which ignores almost completely the occurring effects within an OCT measurement process. In this article, we make a first step to a quantitative model by considering the measured intensity as a combination of back-scattered Gaussian beams affected by the system. In contrast to the standard plane wave simplification, the presented model includes system relevant parameters, such as the position of the focus and the spot size of the incident laser beam, which allow a precise prediction of the OCT data. The accuracy of the proposed model—after calibration of all necessary system parameters—is illustrated by simulations and validated by a comparison with experimental data obtained from a 1300 nm swept-source OCT system.
Low-Wage Agricultural Migrant Workers in Apulian Ghettos, Italy: General Health Conditions Assessment and HIV Screening
Authors: Di Gennaro Francesco , Lattanzio Rossana , Falanga Carmine , Negri Silvia , Papagni Roberta , Novara Roberta , Panico Gianfranco Giorgio , Totaro Valentina , Poliseno Mariacristina , Bavaro Davide Fiore , Raho Lucia , Schiavone Marcella , Laforgia Nicole , Volpe Alessandro , Laforgia Renato , Lo Caputo Sergio , Marotta Claudia , Putoto Giovanni , Saracino Annalisa
Published: October 2021

Background: Approximately 500,000 migrants work in the agricultural sector in Italy. Many of them live in shantytowns, wrongly called “ghettos”, far away from city centers, with no water, proper hygienic conditions or health services. The aim of this study is to assess general health conditions and HIV prevalence by giving hygienic and sanitary sustenance. Methods: Between June 2019 and February 2020, we performed a screening campaign for HIV–diabetes–hypertension, involving migrants living in three Apulian establishments: ghetto Pista, “Sankara House” and “Arena House”. Results: Overall, 321 migrants were enrolled in the study. In the medical screening, one HIV test resulted positive. Hypertension was found in 12% of the migrants visited, diabetes in 2% and TB symptoms in 17%. Among others symptoms explored, muscle and joint pain/fatigue resulted in being the most frequent, and was reported by 34% of the migrants, followed by cough (10%). Significant predictors of muscle and joint pain/fatigue were: low BMI values (OR = 1.32; 95% CI 1.19–1.99), the absence of education (OR = 1.85; 95% CI 1.02–2.95), being employed with a regular contract (OR = 2.64; 95% CI 2.39–2.83) and living in the ghettos since >12 months (OR = 1.74; 95% CI 1.24–2.21). Conclusions: Our experience suggests that, in this population, the health condition is mainly linked to the specific working activities in the agricultural fields, as well as to the hygienic and living conditions, and that all of this is due to the lack of social protection in their life and job.
Measuring the Differentiated Impact of New Low-Income Housing Tax Credit (LIHTC) Projects on Households’ Movements by Income Level within Urban Areas
Authors: Park Sohyun , Yang Aram , Ha Hui Jeong , Lee Jinhyung
Published: October 2021

Social mixing is one of the key objectives of the housing policy in OECD countries. The Low-Income Housing Tax Credit (LIHTC) program, the largest affordable housing construction program in the US since 1986, has recently set creating mixed-income communities as one of the standards. As a project-based program, LIHTC developments are likely to influence residential mobility; however, little is known about its empirical effects. This study investigated whether new LIHTC projects are effective at attracting heterogeneous income groups to LIHTC neighborhoods, thereby contributing to creating mixed-income communities. Using unique individual-level household movement data combined with origin–destination neighborhood characteristics, we developed zero-inflated negative binomial (ZINB) models to analyze the LIHTC’s impact on residential mobility patterns in Franklin County, Ohio, US, from 2011 to 2015. The results suggest that the LIHTC attracts low-income households while deterring higher-income families, and therefore the program is not proved to be effective at creating mixed-income neighborhoods.
Evaluation of Catchments’ Similarity by Penalization in the Context of Engineering Tasks—A Case Study of Four Slovakian Catchments
Authors: Cisty Milan , Povazanova Barbora , Aleksic Milica
Published: October 2021

The present study deals with the similarity of catchments, which is a preliminary investigation before performing various water resource analyses and computations regarding other catchments, e.g., catchments’ similarity may be utilized in the context of analogous calculations of river flows in catchments without measured flows. In this paper, the penalization method of evaluating similarity is proposed; this method is appropriate for tasks in which fewer catchments are analyzed for engineering purposes. In addition to the various physical characteristics of the catchment, the “catchment’s calibrability” property is also formulated and evaluated. A methodology that used specific flows from catchments in a case study from Slovakia successfully verified the proposed penalization method. This verification confirmed that physical similarity, as evaluated using the proposed penalization methodology, also helps to identify hydrological similarity, i.e., finding the most similar catchment to a given catchment in terms of the rainfall-runoff process. Such a finding can be helpful, e.g., in the computation of the mentioned flows in ungauged catchments. Determining unmeasured flows can help to solve many engineering tasks, such as various technical calculations during the design of small reservoirs, defining the potential of a given stream for supplying irrigation, flood protection, etc.
Wastewater-Based Epidemiology for Cost-Effective Mass Surveillance of COVID-19 in Low- and Middle-Income Countries: Challenges and Opportunities
Authors: Shrestha Sadhana , Yoshinaga Emi , Chapagain Saroj K. , Mohan Geetha , Gasparatos Alexandros , Fukushi Kensuke
Published: October 2021

Wastewater-based epidemiology (WBE) is an approach that can be used to estimate COVID-19 prevalence in the population by detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in wastewater. As the WBE approach uses pooled samples from the study population, it is an inexpensive and non-invasive mass surveillance method compared to individual testing. Thus, it offers a good complement in low- and middle-income countries (LMICs) facing high costs of testing or social stigmatization, and it has a huge potential to monitor SARS-CoV-2 and its variants to curb the global COVID-19 pandemic. The aim of this review is to systematize the current evidence about the application of the WBE approach in mass surveillance of COVID-19 infection in LMICs, as well as its future potential. Among other parameters, population size contributing the fecal input to wastewater is an important parameter for COVID-19 prevalence estimation. It is easier to back-calculate COVID-19 prevalence in the community with centralized wastewater systems, because there can be more accurate estimates about the size of contributing population in the catchment. However, centralized wastewater management systems are often of low quality (or even non-existent) in LMICs, which raises a major concern about the ability to implement the WBE approach. However, it is possible to mobilize the WBE approach, if large areas are divided into sub-areas, corresponding to the existing wastewater management systems. In addition, a strong coordination between stakeholders is required for estimating population size respective to wastewater management systems. Nevertheless, further international efforts should be leveraged to strengthen the sanitation infrastructures in LMICs, using the lessons gathered from the current COVID-19 pandemic to be prepared for future pandemics.
Telecoupled Groundwaters: New Ways to Investigate Increasingly De-Localized Resources
Authors: Luetkemeier Robert , Frick-Trzebitzky Fanny , Hodžić Dženeta , Jäger Anne , Kuhn David , Söller Linda
Published: October 2021

Groundwater is essential for drinking water provision and food production while hosting unique biodiversity and delivering key ecosystem services. However, overexploitation and contamination are prevailing threats in many regions worldwide. Even integrated governance schemes like the European Union Water Framework Directive often fail to ensure good quality and quantity conditions of groundwater bodies. Contributing factors are knowledge gaps on groundwater characteristics, limited financial, staff and land resources, as well as policy incoherencies. In this paper, we go further and argue that current groundwater challenges cannot be understood when considering the local situation within hydrologic boundaries only. New long-distance processes are at stake—so called telecouplings—that transgress watershed and administrative boundaries and significantly influence the state of local groundwater bodies. We provide three literature-based examples of European groundwater systems that are impacted by telecouplings, and we show how research and solution perspectives may change when acknowledging the de-localization of groundwater(s). We elaborate on virtual water trade, remote water supply, and seasonal tourist flows that connect sending, receiving and spillover systems. These processes can induce groundwater depletion and contamination but may also help to conserve the resource. Our hypothesis calls for a new spatial paradigm to groundwater management and highlights the need for transdisciplinary research approaches as envisioned in socio-hydrogeology.
A Long-Term Water Quality Prediction Method Based on the Temporal Convolutional Network in Smart Mariculture
Authors: Fu Yuexin , Hu Zhuhua , Zhao Yaochi , Huang Mengxing
Published: October 2021

In smart mariculture, traditional methods are not only difficult to adapt to the complex, dynamic and changeable environment in open waters, but also have many problems, such as poor accuracy, high time complexity and poor long-term prediction. To solve these deficiencies, a new water quality prediction method based on TCN (temporal convolutional network) is proposed to predict dissolved oxygen, water temperature, and pH. The TCN prediction network can extract time series features and in-depth data features by introducing dilated causal convolution, and has a good effect of long-term prediction. At the same time, it is predicted that the network can process time series data in parallel, which greatly improves the time throughput of the model. Firstly, we arrange the 23,000 sets of water quality data collected in the cages according to time. Secondly, we use the Pearson correlation coefficient method to analyze the correlation information between water quality parameters. Finally, a long-term prediction model of water quality parameters based on a time domain convolutional network is constructed by using prior information and pre-processed water quality data. Experimental results show that long-term prediction method based on TCN has higher accuracy and less time complexity, compared with RNN (recurrent neural network), SRU (simple recurrent unit), BI-SRU (bi-directional simple recurrent unit), GRU (gated recurrent unit) and LSTM (long short-term memory). The prediction accuracy can reach up to 91.91%. The time costs of training model and prediction are reduced by an average of 64.92% and 7.24%, respectively.
Proposal of a New Method for Controlling the Thaw of Permafrost around the China–Russia Crude Oil Pipeline and a Preliminary Study of Its Ventilation Capacity
Authors: Cao Yapeng , Li Guoyu , Wu Gang , Chen Dun , Gao Kai , Tang Liyun , Jia Hailiang , Che Fuqiang
Published: October 2021

The China–Russia crude oil pipeline (CRCOP) has been in operation for over ten years. Field observation results have shown that a thaw bulb has developed around the CRCOP which expands at a rate of more than 0.8 m∙a−1 in depth. In view of the deficits of existing measures in mitigating permafrost thaw, a new control method is proposed based on active cooling. According to the relationship between total pressure loss and the driving force of natural ventilation, the wind speed in a U-shaped air-ventilation pipe around the CRCOP is calculated. By analyzing the theoretical calculation and numerical analysis results, it is found that the influence of thermal pressure difference on the natural ventilation of the structure can be negligible, and the influences of resistance loss along the pipe and local resistance loss in the pipe are similarly negligible. Exhaust elbows greatly improve the ventilation performance of the U-shaped air-ventilated pipe. This study developed a novel structure around warm-oil pipelines in permafrost for mitigating thaw settlement along the CRCOP and other similar projects across the world.
Stem Photosynthesis Affects Hydraulic Resilience in the Deciduous Populusalba but Not in the Evergreen Laurus nobilis
Authors: Trifilò Patrizia , Natale Sara , Gargiulo Sara , Abate Elisa , Casolo Valentino , Nardini Andrea
Published: October 2021

Stem photosynthesis has been suggested to play relevant roles to cope with different biotic and abiotic stress factors, including drought. In the present study, we performed measurements of stem hydraulic conductance and non-structural carbohydrate content in the evergreen Laurus nobilis L. and the deciduous Populusalba L., subjected to inhibition of stem photosynthesis and successive exposure to a drought-recovery cycle in order to check if stem photosynthesis may be involved in allowing hydraulic recovery after drought stress relief. Stem shading affected the growth of L. nobilis but not of P. alba saplings. By contrast, inhibition of stem photosynthesis was coupled to inhibition of hydraulic recovery following embolism build-up under drought in P. alba but not in L. nobilis. The two study species showed a different content and behavior of nonstructural carbohydrates (NSCs). The differences in NSCs’ trend and embolism reversal ability led to a significant relationship between starch content and the corresponding hydraulic conductance values in L. nobilis but not in P. alba. Our findings suggest that stem photosynthesis plays a key role in the maintenance of hydraulic functioning during drought especially in the deciduous species. This, in turn, may increase their vulnerability under current global climate change scenarios.
Network Model Analysis of Residual Chlorine to Reduce Disinfection Byproducts in Water Supply Systems in Yangon City, Myanmar
Authors: Zin Nwe Nwe , Kazama Shinobu , Takizawa Satoshi
Published: October 2021

In Yangon City, chlorination commenced in January 2020 to supply drinkable water; therefore, there is as yet no information on chlorine decay and DBP formation in the water supply system. This study aimed to find methods to optimize chlorine dosage in Yangon City. Onsite sampling and laboratory analyses of residual chlorine and trihalomethane (THM) formation, as well as water quality simulations, were conducted to find the chlorine decay and THM formation kinetics. Due to a high chlorine dose of 2 mg/L for both pre- and post-chlorination, disinfection was effective despite the low removal efficiency of turbidity. However, THMs were found in high levels in both treated and tap water due to the high THM formation potential of raw water. The re-contamination and/or transformation of dissolved organic matter were found in the distribution network by increases in specific ultraviolet absorption (SUVA) values and excitation-emission matrix (EEM) fluorophores, which brought about variations of THMs in the networks. The EPANET models were run assuming there to be no water leakages; it was found that the chlorine dose could be decreased to 0.8 mg/L to meet the guidelines for THMs and residual chlorine. The methods employed in this study could be also applied in other water supply systems in tropical developing countries with limited water quality monitoring data.
Customs regulation of cross-border e-commerce in the Russian Federation in the modern world
Authors: Staroverova K. O.
Published: October 2021

The article considers the current system of customs regulation of e-commerce in the Russian Federation and Eurasian Economic Union, projects of its amendment and possible consequences of these amendments.
Household appliances market and its development trends
Authors: Raikova E.Yu. , Osipyan E.V.
Published: October 2021

The work is devoted to the analysis of the household appliances market and the main trends in its development. The structure and share of imports of household appliances are analyzed. The main leaders in the household appliances market are considered and the shares of their companies in the Russian Federation today are presented. The article also examines the development trends of the household appliances market.
AR technologies in retail and their benefits
Authors: Kasenkov V.I.
Published: October 2021

The article discusses the use of AR in retail. The main aspects of the technology application and its advantages are presented. The experience of using AR by large companies participating in retail is described.
Public procurement as a tool of government regulation: a new stage of transformation
Authors: Shuvalov Sergey Sergeevich
Published: October 2021

The article deals with the issues of the evolution in approaches to the public procurement institutionalization in the context of the evolution in the theory and practice of public governance. There are highlighted the key problems of the public procurement development in Russia, their nature and origins. There are also discussed the issues of the procurement digitization as well as the possibilities of applying procurement tools in order to spur digitization of public governance and national economy. The author highlights the key strategic options for the Russian public procurement development, offers its target (desirable) future image, and discusses the ways to reach it.
Rescue Excavations of Bronze Age Barrows in Vetrino Region, northeast Bulgaria
Authors: Alexandrov Stefan , Slavchev Vladimir , Tonkova Eva
Published: October 2021

Scopul acestui articol este prezentarea cercetărilor arheologice de salvare desfășurate în trei tumuli atribuiți epocii bronzului în regiunea Vetrino din nord-estul Bulgariei. În 2020 au fost cercetate în această regiune 14 morminte atribuite epocii timpurii a bronzului (mileniile IV– III î. Hr.), două epocii mijlocii a bronzului (prima jumătate a mileniului II î. Hr.) și unul atribuit epocii târzii a bronzului (a doua jumătate a mileniului II î. Hr.). Majoritatea mormintelor conțineau indivizi în poziția chircit pe o parte, atribuite perioadelor 3100– 2900 calBC și 2900– 2600 calBC. Sunt discutate tipul lor, caracteristicile și relația lor cu morminte contemporane din alte regiuni la nord și vest. Este pusă în discuție și datarea unor morminte cu indivizi în poziția chircit puternic în perioada 2000– 1500 calBC din nord-estul Bulgariei.
Noi cercetări arheologice din castrul de la Câmpulung (Pescăreasa, punct Jidova) (2010–2015) / New archaeological research at the Roman fort from Câmpulung (Pescăreasa, Jidova location) (2010– 2015)
Authors: Petolescu Constantin C. , Matei-Popescu Florian , Dumitrescu Ion
Published: October 2021

Cercetările arheologice din anii 2010  2015, în zona centrală a castrului de la Câmpulung (latus praetorii dextrum), au arătat că edificiul de mici dimensiuni cu hipocaust, dispus între horreum și principia, a fost construit mai târziu, probabil către mijlocul secolului al III-lea p. Chr. Anterior, spațiul a fost ocupat de o clădire de lemn și pământ, având dimensiuni comparabile cu cele ale magaziei de cereale de piatră (horreum), 33 × 9 m. Planul, dimensiunile și amplasamentul converg spre identificarea conctrucției de lemn cu o magazie de cereale. Astfel de magazii de lemn pentru cereale nu sunt ceva neobișnuit în castrele auxiliare, mai ales în fazele de lemn și pământ ale acestora. Acest horreum de lemn a fost distrus de un incendiu cândva în timpul sau după domnia lui Severus Alexander. Spațiul a fost nivelat cu pietriș, apoi a fost construită clădirea dublu absidată, precum și un puț ( ?) în fața ei ; din păcate, funcționalitatea acestei clădiri târzii nu a putut fi stabilită.
Pablo Palant en la historia de la enseñanza dramatúrgica en Argentina
Authors: Lozano Ezequiel
Published: October 2021

El artículo propone una lectura del “Seminario para autores”, desarrollado por Pablo Palant en Argentores, como un hito destacado de la historia de la enseñanza de dramaturgia en Argentina. Se rescata su carácter pionero y se pretende argumentar que mediante una novedosa modalidad de taller dicho espacio de formación fue un sitio de relevancia en tanto condensador de los primeros saberes locales de la formación escritural para la escena, desde la perspectiva del quehacer teatral independiente.
Zonas de contacto: los talleres de dramaturgia entre la última dictadura militar y la restauración democrática (1976-1985)
Authors: Schcolnicov Eugenio
Published: October 2021

La política represiva ejecutada por la última dictadura militar instauró una profunda desarticulación del campo teatral y obligó a las prácticas escénicas y a los espacios de formación teatral a reinventar sus modos de producción y asociación. En este contexto, las intervenciones pedagógicas desarrolladas por autores como Osvaldo Dragún y Ricardo Monti resultaron decisivas para pensar la emergencia de nuevos procedimientos en materia de escritura teatral. Estas experiencias fundacionales tienen su continuidad en el desarrollo de los talleres de escritura teatral que se suceden durante el período democrático. En el siguiente artículo nos proponemos indagar en los procesos de enseñanza desarrollados por Ricardo Monti durante el gobierno de facto y en las propuestas de taller que se llevaron adelante dentro del ciclo Teatro Abierto 1985. Ambas instancias fueron eslabones significativos en el proceso de autonomización de los talleres de formación dramatúrgica respecto de los talleres de actuación y contribuyeron al reconocimiento de la escritura dramática como un tipo de disciplina portadora de saberes específicos.
Piel de lava: grupalidad y matrices discursivas para las praxis de una escena teatral argentina
Authors: Pessolano Carla
Published: October 2021

En este trabajo se intentará hacer un primer relevamiento metaforológico (Blumenberg, 2003) de los discursos de espesor del grupo teatral Piel de Lava para dar cuenta del modo en que su formación en actuación y dramaturgia, al comienzo de sus carreras, implantó una forma de creación que influye hasta hoy en sus procedimientos y en sus reflexiones acerca de los mismos. Al hacerlo, se estipula que los decires a partir de los cuales las y los artistas refieren a sus prácticas impactan de manera explícita en el sentido que le asignan al mundo y a su creación. De esta manera, intentaremos dar cuenta de cómo se organizan las matrices discursivas con las que este grupo de creadoras refiere a sus praxis, conformando no solo un decir acerca de las mismas sino también un pensamiento específico sobre la práctica escénica toda.
El objeto en el ilusionismo
Authors: Nigro Miguel
Published: October 2021

La finalidad de este análisis es proponer una inquietud investigativa hacia la práctica del ilusionismo. De todos sus componentes, selecciono el objeto como muestra testigo pasible de ser cotejado con otras actividades artísticas basadas en lo objetual.

La utilería mágica presenta, en sus aspectos materiales, un grado de estandarización poco frecuente en otras disciplinas artísticas. Objeto y truco suelen considerarse como la unidad indivisible de la magia. Esta fórmula promueve una constante repetitiva que es modificada apenas por las cualidades histriónicas del ilusionista. Es posible demostrar que las cosas que intervienen en la magia pueden ser, a través de un análisis crítico y comparativo, valoradas por su dimensión estética y significativa como la singularidad del acto mágico.
THE PROCESS OF PERSONNEL SECURITY MANAGEMENT IN BUSINESS STRUCTURES
Authors: Petrochenko Tat'yana
Published: October 2021

The article is devoted to personnel security as the most important component of economic security of any business structure. Ensuring personnel security is one of the main tasks facing the management of business structures. The purpose of personnel security is to minimize the risk and threats from employees and to establish "break-even" labor relations. To ensure personnel security, personnel management specialists should distinguish between external and internal threats, develop and conduct special personnel measures. The article presents measures to ensure personnel security in the implementation of the main personnel functions. The research methodology was based on the use of monographic and periodic research methods, as well as a sociological survey. The scientific novelty of the proposals lies in the development of theoretical, methodological and practical proposals for improving the personnel component of the economic security of business structures.
DEVELOPMENT OF PRACTICAL APPROACHES TO GROWTH STRATEGIES IN COMPANIES’ ACTIVITY IN THE STRATEGIC PERSPECTIVE
Authors: Chekashkina Natal'ya
Published: October 2021

The willingness of market-leading companies to have sustainable growth over the past few decades has been significantly complicated by the increasing level of uncertainty of the overall impact of environmental factors in all spheres of economic activity. Macroeconomic instability, sharp fluctuations in the raw material markets, intense industries’ competition, political instability, the multidirectional dynamics of social processes, unpredictable natural and climatic cataclysms of global proportion - all these have significantly impact that complicate the possibilities of forming market development strategies, based on traditional planning approaches that take into account mainly retrospective dynamics. Moreover, the economic instability of the last decade, caused by environments, has shown to significant part of international companies the instability of the chosen strategies for the development of the firm. The dilemma of choosing the direction of strategy is relevant for most companies of Russian and foreign business – managers face the question of choosing the direction of the corporate strategy development of the company, taking into account all the components of the business portfolio. The author studies the evolutionary development of the theory of strategic growth, presents a variety of approaches to the classification of organizational growth strategies, identifies their similarities and contradictions, and give arguments for the traditional growth strategies classification. Strategies of intensive growth, vertical integration, and diversification are attractive for development, but at the same time require certain efforts and resources. In the course of the study, the author conducted research to identify and choose the most optimal growth strategy when the company reach a certain level of stability for dynamic development, identified the basic criteria for choosing the strategic vector of the company's development.
Thermo-Fluidic Modelling of a Heat Exchanger Tube with Conical Shaped Insert having Protrusion and Dimple Roughness
Authors: Singh Bhanu Pratap , Bisht Vijay Singh , Bhandari Prabhakar , Rawat K.S
Published: October 2021

In the present work, thermo-fluidic behavior of a heat exchanger tube with conical shaped insert has been investigated with the help of finite volume method. To enhance the heat transfer rate, two different types of roughness has been used in conical insert i.e. protrusion and dimple roughness. A three-dimensional computational model with  RNG turbulence model is used for the simulation and it has been performed for three different diameters (3 mm, 6 mm and 9 mm) and two different pitch space (120 mm and 180 mm) for both protrusion and dimple roughness. The present model has been validated with Dittus-Boelter equation and with Blasius equation for Nusselt number and friction factor, respectively. For a constant heat flux of 1200 W/m2, effect of roughness, diameter and pitch on Nusselt number and friction factor has been predicted for Reynold number range of 5000 to 30000. From the result, it is found that, the protrusion shaped roughness has better thermal performance factor than dimple shape and diameter of 6 mm has performed better than 3 mm and 9 mm for both the cases of roughness due to favorable flow dynamics.
Harnessing the potential of the environmental microbiome in forensic science
Authors: Jagiełło Agata , Woźniak Anna , Szczerba Błażej , Płoski Rafał , Rydzanicz Małgorzata , Pollak Agnieszka , Frolova Alina , Kowalski Michał , Łabaj Paweł , Ossowski Andrzej , Branicki Wojciech , Herda Kinga , Marszałek Kamila , Zbieć-Piekarska Renata
Published: October 2021

Biometrics is one of the basic detection techniques used in law enforcement activities on a daily basis. Like other techniques, it is constantly changing. This article aims to provide an overview of what was in the past, what is now, and what will be in the near future. It presents the selected methods of collecting some of the data, as well as the systems used to rocess them. In addition, practical guidance is provided on how individual biometric data should be collected and, for specific cases, it explains why the data collection procedure is carried out in one way and not another, and what it means for its subsequent processing. As problems sometimes arise during recovery of the material they have been presented together with an overview of the reasons for that. In addition to information on the technical aspects, the article also includes references to legal acts regulatingissues related to biometrics.
Analisis Vector Autoregression (VAR) Terhadap Hubungan Antara Luas Panen, Produksi Dan Produktivitas Panen Padi (Studi Kasus Kota Yogyakarta Tahun 1993 -2015)
Authors: Syahril Muhammad
Published: October 2021

Padi merupakan makanan pokok mayoritas masyarakat Indonesia, termasuk masyarakat di daerah Yogyakarta, namun hingga saat ini pemerintah masih mengandalkan impor beras dari luar negeri dengan jumlah yang masif, sehingga membuat peneliti tertarik untuk melakukan penelitian tentang produktivitas pertanian Indonesia yang diambil sampel daerah Yogyakarta sebagai bahan uji melalui badan pusat statistik. Penelitian ini bertujuan untuk menguji apakah antara luas panen, tingkat produksi dan produktivitas memiliki hubungan yang saling mempengaruhi. Peneliti menggunakan analisis Vector Auto Regression. Hasil penelitian menemukan bahwa luas panen berpengaruh terhadap kenaikan nilai produksi, sebaliknya mengalami penurunan pada produktivitas, pengaruh lainnya juga ditemukan bahwasanya produksi terhadap luas lahan dan sedikit pengaruh terhadap produktivitas.TRANSLATE with x EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian //  TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster PortalBack//
Depremden Etkilenen Betonarme Konutların Onarım/Yıkım Karar Sürecine Maliyetlerin Etkisi
Authors: GÜNEŞ Sinan , ARSLAN Metin
Published: October 2021

Çalışmanın amacı; depremden etkilenmiş ve hasar görmüş betonarme konutların onarım/yıkım karar sürecinde hasar tür ve seviyeleri ile maliyet faktörleri analizinin yapılarak en etkin ve ekonomik karara ulaşılmasındaki alternatif yaklaşımları analiz ederek en uygun yaklaşımı belirlemektir. Çalışmada 2011 Van depreminden etkilenen 270 betonarme konut incelenmiş ve hasar türleri; taşıyıcı ve taşıyıcı olmayan elemanlarda görülen çatlaklar, ezilmeler, dökülmeler, ayrılmalar ve göçmeler olarak, hasar seviyeleri ise hasarsız, az, orta, ağır hasarlı ve yıkık olarak sınıflandırılmıştır. Onarım tür ve maliyet yönteminde yapısal hasarlar, onarım ve güçlendirme ile acil barınma maliyetleri ve yaralanma ile ölüm gibi insani kayıplar ele alınmıştır. Yıkım tür ve maliyetlerinde yapı söküm tekniğine göre şantiye kurulumu, işçilik, ekipman, nakliye ve tasfiye maliyet analizleri yöntem olarak seçilmiştir. Karar aşamasında güçlendirme yöntemlerine göre belirlenen alternatiflerin iç verim oranı, kârlılık endeksi ve geri ödeme süreleri yönlerinden karşılaştırmalı analizi yapılmıştır. Çalışmada yeniden yapım, yapının olduğu gibi bırakılması, zemin kat güçlendirme ve tüm kat güçlendirme olmak üzere dört alternatif belirlenmiş olup, zemin kat güçlendirmesi tüm karşılaştırma parametreleri bakımından en uygun seçenek olmuştur. Türkiye’de güçlendirme uygulamalarında sıkça rastlanılan %40 maliyet oranının tek başına karar sürecinde değerlendirilmesi ve sabit bir oran olarak kullanılmasının gerçekçi sonuçlar vermekten uzak olacağı görülmüştür.
Supporting Learning Programme Portfolio
Authors: Abbruzzese Vito
Published: October 2021

This Supporting Learning Programme Portfolio is part of a range of professional development opportunities for people involved in teaching and supporting learning and is accredited against the UK Professional Standards Framework for the Advance Higher Education.
Poesia ao rés do chão: o criançamento das palavras em Manoel de Barros
Authors: Florêncio Roberto Remígio , Leite Vlader Nobre , Oliveira Fabio Lima de
Published: October 2021

Apresentamos reflexões de poemas de Manoel de Barros, na tentativa de explicar como o autor se utiliza da palavra de forma artesanal, suplantando os significados convencionais e lançando mão de uma subversão sintática. O texto traz os reflexos do olhar do autor sobre o chão, sob a sombra da infância projetada no adulto que busca a felicidade por meio do criançamento da palavra. Foram utilizados trabalhos de pesquisa atuais, como os de Fhiladelfio e Cruz (2015), de Francisco Perna Filho (2014) e o documentário de Pedro Cézar (2016), entre outros. O presente manuscrito produz um mergulho na poesia inventada dos versos do poeta, alternando sequências de informações/citações sobre o autor com versos de sua obra, resultando em um painel revelador da linguagem poética de Barros, considerado um dos mais inovadores poetas em língua portuguesa da contemporaneidade.
O vermelho como símbolo da materialidade humana em Augusto dos Anjos
Authors: De Souza Ayanne Larissa Almeida
Published: October 2021

O presente artigo tem por meta analisar o percurso gerativo de sentido na poesia de Augusto dos Anjos, mediante a teoria da semântica discursiva, através dos estudos de José Luiz Fiorin e Diana Barros. Nossa investigação diz respeito a perceber de que forma o percurso temático da finitude e materialidade humanas criam o efeito que passa do tema à figura, e desta à iconização, com a finalidade de produzir, através da análise do simbolismo da cor vermelha na obra de Augusto, a figuratização da carne e do sangue enquanto uma metáfora para a condição humana diante da morte.
Azão, azinho: Íris em Marte, Marte em Íris, Martíres
Authors: DE SOUSA LEANDRO MOREIRA
Published: October 2021

Escrevi esse poema ontem pensando no formato da vida. Especificamente no formato do ser humano que quer conquistar outros planos se esquivando da sua própria existência. Até quando não vamos enxergar o que está diante dos nossos olhos ? Se eu escrevi o poema ontem , qual será que eu vou escrever hoje ? Ps: tentei escrever o poema obedecendo algumas regras que eu faço normalmente, mas tudo muito experimental. Eu não consegui abrir o documento de regras de envio. Eu tinha lido em uma página anterior que voces pediam para não colocar nomes nos trabalhos então não coloquei. Espero que esteja tudo certo
Pingo na goela
Authors: Feijão Felipe Augusto Ferreira
Published: October 2021

Conto