bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of the Calibration Interval on Simulating Non-Stationary Urban Growth Dynamic Using CA-Markov Model
Authors: Aguejdad Rahim
Published: January 2021

The temporal non-stationarity of land use and cover change (LUCC) processes is one of the main sources of uncertainty that may influence the calibration and the validation of spatial path-dependent LUCC models. In relation to that, this research aims to investigate the influence of the temporal non-stationarity of land change on urban growth modeling accuracy based on an empirical approach that uses past LUCC. Accordingly, the urban development in Rennes Metropolitan (France) was simulated using fifteen past calibration intervals which are set from six training dates. The study used Idrisi’s Cellular Automata-Markov model (CA-Markov) which is an inductive pattern-based LUCC software package. The land demand for the simulation year was estimated using the Markov Chain method. Model validation was carried out by assessing the quantity of change, allocation, and spatial patterns accuracy. The quantity disagreement was analyzed by taking into consideration the temporal non-stationarity of change rate over the calibration and the prediction intervals, the model ability to reproduce the past amount of change in the future, and the time duration of the prediction interval. The results show that the calibration interval significantly influenced the amount and the spatial allocation of the estimated change. In addition to that, the spatial allocation of change using CA-Markov depended highly on the basis land cover image rather than the observed transition during the calibration period. Therefore, this study provides useful insights on the role of the training dates in the simulation of non-stationary LUCC.
Semantic Segmentation for Buildings of Large Intra-Class Variation in Remote Sensing Images with O-GAN
Authors: Sun Shuting , Mu Lin , Wang Lizhe , Liu Peng , Liu Xiaolei , Zhang Yuwei
Published: January 2021

Remote sensing building extraction is of great importance to many applications, such as urban planning and economic status assessment. Deep learning with deep network structures and back-propagation optimization can automatically learn features of targets in high-resolution remote sensing images. However, it is also obvious that the generalizability of deep networks is almost entirely dependent on the quality and quantity of the labels. Therefore, building extraction performances will be greatly affected if there is a large intra-class variation among samples of one class target. To solve the problem, a subdivision method for reducing intra-class differences is proposed to enhance semantic segmentation. We proposed that backgrounds and targets be separately generated by two orthogonal generative adversarial networks (O-GAN). The two O-GANs are connected by adding the new loss function to their discriminators. To better extract building features, drawing on the idea of fine-grained image classification, feature vectors for a target are obtained through an intermediate convolution layer of O-GAN with selective convolutional descriptor aggregation (SCDA). Subsequently, feature vectors are clustered into new, different subdivisions to train semantic segmentation networks. In the prediction stages, the subdivisions will be merged into one class. Experiments were conducted with remote sensing images of the Tibet area, where there are both tall buildings and herdsmen’s tents. The results indicate that, compared with direct semantic segmentation, the proposed subdivision method can make an improvement on accuracy of about 4%. Besides, statistics and visualizing building features validated the rationality of features and subdivisions.
Acknowledgment to Reviewers of Stats in 2020
Authors:   Stats Editorial Office
Published: January 2021

Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Stats maintains its standards for the high quality of its published papers [...]
The Impact of Hydrogen on a Stationary Gasoline-Based Engine through Multi-Response Optimization: A Desirability Function Approach
Authors: Padilla-Atondo Jesus M. , Limon-Romero Jorge , Perez-Sanchez Armando , Tlapa Diego , Baez-Lopez Yolanda , Puente Cesar , Ontiveros Sinue
Published: January 2021

Several studies have been conducted on alternatives to fossil fuels in internal combustion engines. In this work, we present an analysis of the optimization of a spark ignition engine (SIE), which operates with a mix of gasoline and hydrogen. Thus, this study tries to enrich the literature about the effect of using hydrogen in SIEs taking into account their performance and environmental issues. The experiments were conducted considering three independent variables: revolutions, the load produced by a dynamometer, and an electrolyte concentration (EC) to produce hydrogen. The effect of these factors was investigated on three response variables that are related to the performance of the engine: torque, hydrocarbon emissions (HC), and power. To achieve this optimization, we employed the design of experiments, the seemingly unrelated regression (SUR), and the desirability function. Once the models were fitted by SUR, the individual desirabilities were calculated and later aggregated into an overall desirability (D), which was optimized using the generalized reduced gradient (GRG) method. The results showed that, with a revolution of 2400 revolutions per minute (RPM), a load of 10 liters per minute (LPM), and an EC of 80 mL/gal, a reduction of approximately 51% of HC emissions was achieved, while the other two response variables demonstrated good performance.
Distance Learning as a Resilience Strategy during Covid-19: An Analysis of the Italian Context
Authors: Appolloni Andrea , Colasanti Nathalie , Fantauzzi Chiara , Fiorani Gloria , Frondizi Rocco
Published: January 2021

The purpose of this paper is to analyze the strategic model of distance learning adopted by Italian higher education, showing how the health emergency due to Covid-19 has transformed it from an “optional” for traditional universities to the only means to ensure public health protection and continuity in education programs. Comparing two situations (before and during the pandemic), the aim is to identify best practices that, even after the end of the emergency, can be adopted by Italian higher education institutions to boost their digital supply and compete in an international context. After a general context analysis, aimed to underline benefits and risks connected to the development of distance learning, the case of the Italian higher education system has been analyzed. Data were collected through a documentary analysis, looking at what Italian higher education institutions disclosed through their official websites and documents: every form of communication about digital strategy was taken into account. Then, they were analyzed qualitatively, in order to individuate which platforms have been combined to ensure quality in education provided. Research findings demonstrate the resilience of the Italian higher education, able to react and to re-organize itself in only one week: the results of the pandemic may be a stronger university, able to combine quality in education with the potential of technological devices and to compete at the international level. Distance learning represents a complex field, still characterized by separated understandings and in a context where limited attention has been dedicated to its development for what concerns the Italian context, the choice to examine it represents the originality of this paper.
‘To LED or Not to LED?’: Using Color Priming for Influencing Consumers’ Preferences of Light Bulbs
Authors: Gavish Iris , Haim Abraham , Kliger Doron
Published: January 2021

Recently, we have seen energy-efficient light-emitting diode (LED) light bulbs rapidly replace incandescent ones. However, results of new research are indicative of adverse health impacts of LED lighting, which is characterized by enriched blue light. Our study aims to reveal whether using color priming by attaching red/green traffic-light icons on light bulbs influences consumers’ preferences of light bulbs. We conducted a field study simulating the buying process, in which participants (N = 572) were presented with LED and carbon incandescent bulbs. We alternately displayed two pairs of bulbs: (1) in their original packaging and (2) in packages marked with traffic light icons (red = LED). Our results confirm that traffic light icons significantly (p < 0.01) increase the odds of choosing the healthier carbon bulb. The results highlight the benefits of attaching traffic light icons to light bulb packaging, helping consumers to make more health-conscientious purchasing decisions. Nowadays, this study’s contribution is more significant due to COVID-19 restrictions and stay-at-home policies, since people work or study remotely, which increases their exposure to household lighting. These results may incentivize policymakers to enforce adding traffic light icons to light bulb packaging, thus encouraging LED light bulb manufacturers to reduce the blue light component in order to improve the health aspect of their bulbs.
Environmental Effects of Eco-Driving on Courier Delivery
Authors: Coloma Juan Francisco , García Marta , Fernández Gonzalo , Monzón Andrés
Published: January 2021

In recent years, eco-driving has proven to be an effective tool for reducing fuel consumption and greenhouse gas (GHG) emissions. Until now, most research carried out has focused on ordinary drivers applying eco-driving techniques on their usual routes. However, there is little research on professional driver couriers. This research is aimed at analyzing the effects that eco-driving has on fuel consumption and GHG emissions on courier deliveries in small cities such as Caceres (Spain). For this purpose, a real-life experiment was performed with professional drivers with Spanish post vans from the public sector company Correos. In the first period, driving was under normal conditions (non-eco), and after a theoretical training eco-driving course, there was a second driving period (eco). Driving parameters (speeds, accelerations, rpm, and consumptions) were recorded on all trips to analyze how effective the eco-driving was. The research concluded that eco-driving training does not correlate with more sustainable driving for professional drivers under pressure with the need to deliver packages on time. However, there is a trend in fuel savings when using higher capacity routes.
Between Village and Town: Small-Town Urbanism in Sub-Saharan Africa
Authors: Agergaard Jytte , Kirkegaard Susanne , Birch-Thomsen Torben
Published: January 2021

In the next twenty years, urban populations in Africa are expected to double, while urban land cover could triple. An often-overlooked dimension of this urban transformation is the growth of small towns and medium-sized cities. In this paper, we explore the ways in which small towns are straddling rural and urban life, and consider how insights into this in-betweenness can contribute to our understanding of Africa’s urban transformation. In particular, we examine the ways in which urbanism is produced and expressed in places where urban living is emerging but the administrative label for such locations is still ‘village’. For this purpose, we draw on case-study material from two small towns in Tanzania, comprising both qualitative and quantitative data, including analyses of photographs and maps collected in 2010–2018. First, we explore the dwindling role of agriculture and the importance of farming, businesses and services for the diversification of livelihoods. However, income diversification varies substantially among population groups, depending on economic and migrant status, gender, and age. Second, we show the ways in which institutions, buildings, and transport infrastructure display the material dimensions of urbanism, and how urbanism is planned and aspired to. Third, we describe how well-established middle-aged households, independent women (some of whom are mothers), and young people, mostly living in single-person households, explain their visions and values of the ways in which urbanism is expressed in small towns. In conclusion, we discuss the implications of this urban life-in-becoming of small towns for urban planning, emphasizing the importance of the development of inclusive local governance. Ultimately, we argue that our study establishes an important starting point for further explorations of the role of the simultaneous production and expression of urbanism in small town urbanization.
How to Promote University Students to Innovative Use Renewable Energy? An Inquiry-Based Learning Course Model
Authors: Wang Xingwei , Guo Liang
Published: January 2021

This paper aims to explore a student-oriented curriculum model on Renewable Energy Sources (RES), since RES is an important solution to the energy problem, and training talents with relevant skills and qualities has become a key part of our overall energy strategy. Based on Taylor Principle and PDCA Cycle Theory (Plan, Do, Check, Act), this paper proposed a “Student-centered Inquiry” RES course model together with three reference templates for the design, teaching, and evaluation processes of the course. This dissertation conducted a case study on 27 students from China University of Petroleum (East China), and the primary purpose of the study was to find out how changes in the curriculum could affect the learning effects of both high achievement students and low achievement students. By adopting the paired T-test and independent T-test, the results indicated that: (a) There was a relationship between the new curriculum model and the students’ academic performance, (b) the improvement in low-achievement students was more significant than in high-achievement students, and (c) the new curriculum model has positive effects on students in terms of knowledge transfer, methodology, reductionism, and consciousness formation. In view of the limitations of current RES related education in universities, these results can be used as templates to improve the quality of RES education.
Spatiotemporal Pattern of Vegetation Ecology Quality and Its Response to Climate Change between 2000–2017 in China
Authors: Li Chao , Li Xuemei , Luo Dongliang , He Yi , Chen Fangfang , Zhang Bo , Qin Qiyong
Published: January 2021

Vegetation ecology quality (VEQ) is an important indicator for evaluating environmental quality and ecosystem balance. The VEQ in China has changed significantly with global warming and gradual intensification of human activities. It is crucial to research the spatiotemporal characteristics of VEQ and its response to climate change in China. However, most previous studies used a single indicator to reflect VEQ in China, which needs to combine the effects of multiple indicators to reveal its variation characteristics. Based on the six remote sensing indicators, fractional vegetation cover, leaf area index, net primary productivity, vegetation wetness, land surface temperature, and water use efficiency of vegetation, the vegetation ecology quality index (VEQI) was constructed by principal component analysis in this paper. The spatio-temporal distribution and trend characteristic of VEQ within disparate ecosystems in China from 2000 to 2017 were studied. How continuous climate change affected VEQ over time was also analyzed. The results showed that the differences in spatial distribution between the excellent and poor VEQ regions were significant, with the proportion of excellent regions being much larger than that of poor regions. The VEQ has been ameliorated continuously during the past 18 years. Simultaneously, the VEQ would be ameliorated persistently in the future. Differences in the distribution and variation trend of VEQ occurred in disparate ecosystems. The VEQ of broadleaved forest was the best, while that of shrubs and arctic grassland ecosystem was the worst. The VEQ characteristics were different in disparate climate zones, with the best VEQ in the tropical monsoon climate zone and the worst in the plateau mountain climate zone. Except for desert vegetation and paddy field-dominated vegetation, VEQ of other ecosystems were significantly negatively correlated with altitude. Generally, moderate precipitation and temperature were favorable to improve VEQ in China. VEQ during the peak growing season was negatively correlated with temperature and positively correlated with precipitation, and the influence of precipitation on VEQ was stronger than that of temperature. Our results can be used to enact relevant management measures and policies.
Impact of the COVID-19 Pandemic on Electricity Demand and Load Forecasting
Authors: Alasali Feras , Nusair Khaled , Alhmoud Lina , Zarour Eyad
Published: January 2021

The current COVID-19 pandemic and the preventive measures taken to contain the spread of the disease have drastically changed the patterns of our behavior. The pandemic and movement restrictions have significant influences on the behavior of the environment and energy profiles. In 2020, the reliability of the power system became critical under lockdown conditions and the chaining in the electrical consumption behavior. The COVID-19 pandemic will have a long-term effect on the patterns of our behavior. Unlike previous studies that covered only the start of the pandemic period, this paper aimed to examine and analyze electrical demand data over a longer period of time with five years of collected data up until November 2020. In this paper, the demand analysis based on the time series decomposition process is developed through the elimination of the impact of times series correlation, trends, and seasonality on the analysis. This aims to present and only show the pandemic’s impacts on the grid demand. The long-term analysis indicates stress on the grid (half-hourly and daily peaks, baseline demand and demand forecast error) and the effect of the COVID-19 pandemic on the power grid is not a simple reduction in electricity demand. In order to minimize the impact of the pandemic on the performance of the forecasting model, a rolling stochastic Auto Regressive Integrated Moving Average with Exogenous (ARIMAX) model is developed in this paper. The proposed forecast model aims to improve the forecast performance by capturing the non-smooth demand nature through creating a number of future demand scenarios based on a probabilistic model. The proposed forecast model outperformed the benchmark forecast model ARIMAX and Artificial Neural Network (ANN) and reduced the forecast error by up to 23.7%.
The Relationship between Eco-Innovation and Smart Working as Support for Sustainable Management
Authors: Bucea-Manea-Țoniş Rocsana , Prokop Viktor , Ilic Dragan , Gurgu Elena , Bucea-Manea-Țoniş Radu , Braicu Cezar , Moanță Alina
Published: January 2021

Nowadays, firms have to face challenging economical cirses, like the one caused by the COVID-19 pandemic, where volatility, uncertainty, complexity, and ambiguity are manifested. Strategic management is seen as one of the key approaches that firms can choose to implement sustainable smart working (on the support of Internet of Things and smart technologies) and to face global competition. In this article, as a response to the current crisis, we study the influence of Smart Working on Eco-innovation within EU 28 countries. Specifically, we evaluate the relationship between Eco-innovation index for EU 28 countries and Smart Working, by using a clustering analysis. The results show that the increased labor productivity and employees’ eco-innovation are associated, to a higher extent, with the companies agreeing to a flexible and comfortable environment. These companies agree with the introduction of special programs such as working from home. We also prove that Smart Working is implemented by innovative leaders gaining economic sustainability. This study also provides several theoretical and practical contributions. We provide (i) an overview of sustainable management, including the diverse theoretical and methodological perspectives; and (ii) the recommendation of an innovation model through the bilateral collaboration for the constructs of performant sustainable strategies.
Removal of Metals from Aqueous Solutions Using Sea Buckthorn Waste from Dietary Supplement Technology
Authors: Kim Lidia , Catrina (Traistaru) Gina-Alina , Cernica Georgiana , Staicu Vasile , Popescu Mariana , Covaliu Cristina Ileana
Published: January 2021

The purpose of this study was to produce additional data for the valorization process of vegetable waste originating from dietary supplement technology. Two types of vegetable waste originating from different technological processes of sea buckthorn oil were used: vegetable waste from organic solvent extraction (P1) and vegetable waste from cold extraction (P2). Batch experiments evaluated the influence of pH, initial metal concentration, contact time, and Langmuir and Freundlich adsorption isotherms. The following pollutants—Cu, Cr, Co, Ni, Pb and Zn—from the wastewater were studied. The removal efficiency of metals from wastewater was evaluated at pH 3, 5 and 7. The highest metals removal efficiency was obtained at pH 5. It was observed that the Langmuir isotherm fits the adsorption process very well. Based on the results obtained, it can be concluded that vegetable waste resulting from the sea buckthorn oil industry could have potential applications for removing toxic metals from wastewater due to its high removal efficiency (>80%).
Geometry of k-Yamabe Solitons on Euclidean Spaces and Its Applications to Concurrent Vector Fields
Authors: Ali Akram , Mofarreh Fatemah , Laurian-Ioan Pişcoran , Alluhaibi Nadia
Published: January 2021

In this paper, we give some classifications of the k-Yamabe solitons on the hypersurfaces of the Euclidean spaces from the vector field point of view. In several results on k-Yamabe solitons with a concurrent vector field on submanifolds in Riemannian manifolds, is proved that a k-Yamabe soliton (Mn,g,vT,λ) on a hypersurface in the Euclidean space Rn+1 is contained either in a hypersphere or a hyperplane. We provide an example to support this study and all of the results in this paper can be implemented to Yamabe solitons for k-curvature with k=1.
Acknowledgment to Reviewers of Urban Science in 2020
Authors:   Urban Science Editorial Office
Published: January 2021

Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Urban Science maintains its standards for the high quality of its published papers [...]
Baton Rouge—A Neopragmatic Regional Geographic Approach
Authors: Kühne Olaf , Jenal Corinna
Published: January 2021

The present contribution to a neopragmatic approach to regional geography attempts to collect, structure, and reflect knowledge with different spatial, social, and cultural references. This is not a matter of designing a classical regional or landscape “compartmentalization” of distinct spatial units, which are characterized by a specific reciprocal shaping of culture and the initial physical substrate, but of investigating and reflecting the reciprocal influences of different levels of scale as well as the construction mechanisms and contingency of spatial units. By means of “theoretical” and also empirical “triangulation”, a differentiated picture of complex research objects—here Baton Rouge, LA—is generated, whereby (partial) contradictions between theoretical approaches and the relationship between the various appropriately chosen theories and equally well-chosen empirical methods are also accepted.
COVID-19: A Review on the Novel Coronavirus Disease Evolution, Transmission, Detection, Control and Prevention
Authors: Sharma Anshika , Ahmad Farouk Isra , Lal Sunil Kumar
Published: January 2021

Three major outbreaks of the coronavirus, a zoonotic virus known to cause respiratory disease, have been reported since 2002, including SARS-CoV, MERS-CoV and the most recent 2019-nCoV, or more recently known as SARS-CoV-2. Bats are known to be the primary animal reservoir for coronaviruses. However, in the past few decades, the virus has been able to mutate and adapt to infect humans, resulting in an animal-to-human species barrier jump. The emergence of a novel coronavirus poses a serious global public health threat and possibly carries the potential of causing a major pandemic outbreak in the naïve human population. The recent outbreak of COVID-19, the disease caused by SARS-CoV-2, in Wuhan, Hubei Province, China has infected over 36.5 million individuals and claimed over one million lives worldwide, as of 8 October 2020. The novel virus is rapidly spreading across China and has been transmitted to 213 other countries/territories across the globe. Researchers have reported that the virus is constantly evolving and spreading through asymptomatic carriers, further suggesting a high global health threat. To this end, current up-to-date information on the coronavirus evolution and SARS-CoV-2 modes of transmission, detection techniques and current control and prevention strategies are summarized in this review.
Effect of Emergency Water Discharges from the Dam in Włocławek on the Sedimentary Structures of Channel Bars in the Lower Flow Regime of the River Vistula
Authors: Hojan Marcin , Rurek Mirosław
Published: January 2021

Changes in the stream flow contribute to transformation of the river channel due to erosion and accumulation. Channel bars move as a result of water flow. This article presents the results of studies carried out on two channel bars formed in the River Vistula that were transformed during emergency discharges of water from the Włocławek reservoir. In order to present changes in structure and texture, pits were dug in the channel bars and samples were taken for grain-size analysis. The rate of migration of channel bars caused by emergency discharges was determined. Sedimentary structures were recorded as groups of strata indicating a variability in flow conditions (2D and 3D dunes, parasitic ripple marks, reactivation surfaces). It was observed that changes in the level of water and flow are reflected in sedimentary structures. The emergent channel bars are affected by aeolian processes that wear the flow marks off.
Water Quality Engineering and Wastewater Treatment
Authors: Hung Yung-Tse , Abdul Aziz Hamidi , Al-Khatib Issam A. , Abdel Rahman Rehab O. , Cora-Hernandez Mario GR
Published: January 2021

Wastewater treatment is crucial to prevent environmental pollution [...]
Integration of DNA-Based Approaches in Aquatic Ecological Assessment Using Benthic Macroinvertebrates
Authors: Duarte Sofia , Leite Barbara , Feio Maria , Costa Filipe , Filipe Ana
Published: January 2021

Benthic macroinvertebrates are among the most used biological quality elements for assessing the condition of all types of aquatic ecosystems worldwide (i.e., fresh water, transitional, and marine). Current morphology-based assessments have several limitations that may be circumvented by using DNA-based approaches. Here, we present a comprehensive review of 90 publications on the use of DNA metabarcoding of benthic macroinvertebrates in aquatic ecosystems bioassessments. Metabarcoding of bulk macrozoobenthos has been preferentially used in fresh waters, whereas in marine waters, environmental DNA (eDNA) from sediment and bulk communities from deployed artificial structures has been favored. DNA extraction has been done predominantly through commercial kits, and cytochrome c oxidase subunit I (COI) has been, by far, the most used marker, occasionally combined with others, namely, the 18S rRNA gene. Current limitations include the lack of standardized protocols and broad-coverage primers, the incompleteness of reference libraries, and the inability to reliably extrapolate abundance data. In addition, morphology versus DNA benchmarking of ecological status and biotic indexes are required to allow general worldwide implementation and higher end-user confidence. The increased sensitivity, high throughput, and faster execution of DNA metabarcoding can provide much higher spatial and temporal data resolution on aquatic ecological status, thereby being more responsive to immediate management needs.
Quantitative Characteristics of the Current Multi-Source Precipitation Products over Zhejiang Province, in Summer, 2019
Authors: Qiu Chao , Ding Leiding , Zhang Lan , Xu Jintao , Ma Ziqiang
Published: January 2021

Precipitation data with fine quality plays vital roles in hydrological-related applications. In this study, we choose the high-quality China Merged Precipitation Analysis data (CMPA) as the benchmark for evaluating four satellite-based precipitation products (PERSIANN-CCS, FY4A QPE, GSMap_Gauge, IMERG-Final) and one model-based precipitation product (ERA5-Land), respectively, at 0.1°, hourly scales over the Zhejiang province, China, in summer, from June to August 2019. The main conclusions were as follows—(1) all other products demonstrate similar patterns with CMPA (~325.60 mm/h, std ~0.07 mm/h), except FY4A QPE (~281.79 mm/h, std ~0.18 mm/h), while, overall, the PERSIANN-CCS underestimates the precipitation against CMPA with a mean value around 236.29 mm/h (std ~0.06 mm/h), and the ERA5-Land, GSMap_Guage, and IMERG-Final generally overestimate the precipitation with a mean value around 370.00 mm/h (std ~0.06 mm/h). (2) The GSMap_Gauge outperforms IMERG-Final against CMPA with CC ~0.50 and RMSE ~1.51 mm/h, and CC ~0.48 and RMSE ~1.64 mm/h, respectively. (3) The PERSIANN-CCS significantly underestimates the precipitation (CC ~0.26, bias ~−35.03%, RMSE ~1.81 mm/h, probability of detection, POD, ~0.33, false alarm ratio, FAR, ~0.47), potentially due to its weak abilities to capture precipitation events and estimate the precipitation. (4) Though ERA5-Land has the best ability to capture precipitation events (POD ~0.78), the largest misjudgments (FAR ~0.54) result in its great uncertainties with CC ~ 0.39, which performs worse than those of GSMap_Gauge and IMERG-Final. (5) The ranking of precipitation products, in terms of the general evaluation metrics, over Zhejiang province is GSMap_Gauge, IMERG-Final, ERA5-Land, PERSIANN-CCS, and FY4A QPE, which provides valuable recommendations for applying these products in various related application fields.
O dilaceramento do especialista como caminho para uma educação que pensa
Authors: Souza Carlos Miguel da Silva , Santos Jean Mac Cole Tavares
Published: January 2021

Nesta pesquisa discutimos as consequências da ‘figura do especialista’ para a educação e o ensino na atualidade. Definimos o especialista como fenômeno de época, traçando sua dependência à técnica moderna, numa relação com a essência da técnica em Martin Heidegger e sua disposição no homem. Tal definição nos leva às considerações dialógicas das ciências entre si propostas por Edgar Morin em sua teoria da complexidade. A partir desse panorama, sob o pensamento de Peter Sloterdijk, problematizamos sobre a prejudicialidade do conceito de identidade e a condição de submissão à técnica (pós) moderna: condições estas que vem regendo as práticas educativas em nossos dias. Nossa intenção, portanto, é provocar professores e estudantes a pensar a aceitação não-rigorosa da positividade que hoje se abate sobre o ensino e a educação.
Plataforma virtual como suporte de apoio e acompanhamento no ensino de Física
Authors: Silva Leonilda do Nascimento , Veloso Maria Sônia Silva Oliveira
Published: January 2021

Este estudo aborda conteúdos pertinentes à Cinemática voltados para o Ensino médio e foi desenvolvido com um diferencial, sendo uma sequência didática com fundamentação teórica focada na aprendizagem significativa esta tem o intuito de apresentar um produto educacional de forma direta e objetiva, transcrevendo, as experiências com a construção e aplicação dessa proposta metodológica. A dissertação que gerou este material tem como título “Plataforma Moodle como sistema de apoio e acompanhamento ao ensino de Cinemática”. Tendo como objetivo central verificar a relevância da nova proposta como facilitadora da aprendizagem dos conceitos abordados, trazendo sugestões para as futuras aplicações e materiais tecnológicos complementares como sistema de apoio e acompanhamento no processo do ensino.
FAKTOR-FAKTOR YANG MEMPENGARUHI KASUS DBD DI SULAWESI SELATAN DENGAN MENGGUNAKAN REGRESI POISSON INVERSE GAUSSIAN
Authors: ALAM SYAMSUL
Published: January 2021

Poisson regression is used to model enumeration data such as data on the number of DHF cases. This model has the assumption that is fulfilled is the average and the variance must have the same value or it is called the equidispersion. But this assumption is not fulfilled because the data on the number of dengue cases experienced violations of this assumption. The violation is that the average value is smaller than the variance value or it is called overdispersion. This results in incorrect conclusions because the prediction standard error is underestimated. The way to prevent this is by combining the Poisson distribution and discrete or continuous distribution, this combination is called Mixed Poisson Distribution. Researchers use one of the Mixed Poisson methods, namely Inverse Gaussian Poisson Regression (PIG) because the method is used when the data is overdispersed and the parameters are known or close form on the likelihood function. Based on the results of the study, it is known that the height of the area is a factor that significantly influences DHF cases in South Sulawesi and the model form is as follows: π=exp(5,902-0,0004189 X_2)Keyword: DHF Cases; Poisson Regression; Overdispersion; Poisson Inverse Gaussian Regression;
Effect Of Work Discipline, Ethics, Communication, Job Satisfaction On Employee Loyalty (Case Study Of The Public Relations Protocol Bureau Of The Regional Secretariat Of The Riau Islands Province)
Authors: Andi Aludin , Rumengan Jemmy , Suhardis Adnan
Published: January 2021

This study uses a causal model survey method using path analysis techniques, based on the reasons this study aims to confirm the theoretical model with empirical data, the study population is employees of the Riau Islands Province Secretariat Public Relations Protocol Bureau, which consists of employees with a sample of 174 employees, because the population limited from all members of the sample population so this study uses saturated samples taken through census techniques using proportional random sampling when collecting technical data using variable measurements using a questionnaire instrument in which each employee is given five questionnaire instruments for the source of the measurement variables studied In addition to research instruments that use questionnaire, the instrument was developed based on theoretical studies, then defined in conceptual definitions, operational definitions, and developed through lattice instruments and technical techniques. Knitted data analysis uses descriptive statistics and statistical analysis to test the significance of path coefficients, descriptive statistics to present data in the form of frequency distribution tables, histograms, and total statistics such as media, modes, averages, variants, and foreign exchange standards. Statistical tests are used to test the significance of path coefficients using Partial Least Square (PLS) which is a Multivariate Analysis in the second generation using structural equation modeling (SEM). PLS can be used for a small number of samples, and of course with a large number of samples will be better able to improve the accuracy of estimates. PLS does not require the assumption that data distribution must be normal or not. The construct form can use a reflective or formative model in which from the results of statistical analysis, the relationship between variables formulated in the formulation of a problem as many as 7 pieces obtained significant results.
EFEKTIFITAS DAYA BERKECAMBAH BENIH PADI PANDANWANGI DENGAN MENGGUNAKAN METODE KERTAS
Authors: Wibowo Nurdi Ibnu
Published: January 2021

Indonesia memiliki beragam jenis varietas padi, diantaranya ialah padi Pandanwangi. Padi Pandanwangi merupakan padi yang telah dikenal sebagai salah satu komoditi padi dan salah satu produk beras yang paling diunggulkan di Cianjur, Jawa Barat. Penelitian ini bertujuan untuk menguji efektifitas daya berkecambah benih padi Pandanwangi dengan menggunakan metode kertas. Dengan penelitian ini diharapkan mampu meningkatkan kemungkinan benih untuk berkecambah dengan optimal. Rancangan percobaan yang digunakan dalam penelitian ini ialah Rancangan Acak Lengkap (RAL) Faktorial. Dimana yang menjadi faktor A adalah metode pengujian daya kecambah benih padi Pandanwangi dengan menggunakan tiga level perlakuan (Top of Paper (Pada Kertas/PK), Between Paper (Antar Kertas/AK), dan Plated Paper (Antar Kertas Kipas/AK)), sedangkan untuk faktor B adalah jenis kertas dengan tiga level perlakuan, yaitu: kertas stensil, kertas merang, dan kertas buram, dengan empat kali ulangan. Berdasarkan penelitian yang telah dilaksanakan, dapat disimpulkan bahwa: Faktor A (metode) berpengaruh terhadap parameter presentase kecambah normal, panjang rata-rata radikula, dan panjang rata-rata plumula. Metode between paper dan metode pleated paper merupakan metode yang memberikan pengaruh paling baik terhadap ketiga parameter tersebut. Faktor B (jenis kertas) berpengaruh terhadap parameter panjang rata-rata radikula dan panjang rata-rata plumula. Kertas stensil merupakan jenis kertas yang memberikan pengaruh paling baik terhadap kedua parameter tersebut. Interaksi perlakuan (metode pengecambahan yang diinteraksikan dengan jenis kertas) berpengaruh terhadap parameter panjang rata-rata plumula. Kombinasi perlakuan pleated paper dan kertas stensil merupakan kombinasi perlakuan yang memberikan pengaruh paling baik.
ANALISIS CEMARAN LOGAM (Cu dan Zn) PADA KOPI BUBUK
Authors: Widowaty Windy , Zakaria Akhmad , Nurfiana Tia Yura
Published: January 2021

Pada makanan dan minuman sering terdapat unsur-unsur yang tidak mempunyai nilai nutrisi. Adanya unsur-unsur tersebut selalu dihubungkan dengan sifat-sifat yang tidak diinginkan dan kadang-kadang beracun sehingga membahayakan kesehatan konsumen. Oleh karena itu, diperlukan syarat-syarat untuk industri makanan dan minuman agar produksinya tidak membahayakan bagi konsumen, sehingga dilakukan pengujian cemaran logam sesuai dengan SNI. Analisis yang dilakukan yaitu penentuan kadar cemaran logam Cu dan Zn yang kemungkinan terkandung dalam kopi bubuk dengan menggunakan alat Spektrofotometer Serapan Atom. Hasil penelitian menunjukan kadar logam Cu dan Zn dari dua belas sampel kopi bubuk berkisar antara 0,851 mg/kg sampai 1,259 mg/kg dan untuk kadar Zn berkisar antara 1,242 mg/kg sampai 1,826 mg/kg sehingga tidak melebihi syarat maksimum kadar Cu menurut SNI 01-2983-1994, yaitu sebesar 30 mg/kg.
KEPENTINGAN KEBERADAAN PENGEPUL DAN KEPUASAN PETANI AKAN KINERJANYA SEBAGAI AGEN PEMASAR MALAI PANDANWANGI
Authors: Lisarini Endah , Adillah Siti Nur Ilah
Published: January 2021

Sebagian besar petani skala kecil di Indonesia masih bergantung pada tengkulak atau pengepul untuk memasarkan hasil pertaniannya. Sementara kebijakan-kebijakan di pertanian mengarah kepada pemutusan rantai pemasaran yang panjang termasuk menghilangkan keberadaan tengkulak dan pengepul. Kondisi yang kontradiktif ini memotivasi dilakukannya penelitian dengan tujuan untuk mengkaji : 1) berbagai manfaat pengepul bagi petani; 2) tingkat kepentingan kinerja pengepul bagi petani; 3) tingkat kepuasan petani akan kinerja pengepul. Penelitian dilakukan dengan melibatkan 35 responden petani padi Pandanwangi yang menjual malainya ke pengepul. Responden petani mempunyai karakteristik : didominasi oleh petani laki-laki, berusia di atas 50 tahun, berpendidikan sekolah dasar (SD), sudah berprofesi sebagai petani lebih dari 15 tahun dengan luas garapan lahan rata-rata- satu hektar. Jumlah populasi petani tidak diketahui dengan pasti, maka penentuan responden sebagai sampel dilakukan dengan metode non probability sampling dan teknik purposive sampling. Tingkat kepentingan dan tingkat kepuasan petani akan keberadaan dan kinerja pengepul merupakan variabel penelitian yang dikaji menggunakan metode analisis Index Performance Analysis (IPA) dan Customer Satisfaction Index (CSI). Diperoleh hasil penelitian yang menyimpulkan :  1) Keberadaan pengepul masih dibutuhkan petani karena memberi manfaat antara lain menerima pasokan malai Pandanwangi dalam jumlah berapapun dan dalam kondisi mutu apapun, menanggung biaya-biaya pemasaram dan terkadang menyediakan modal kerja; 2) kinerja pengepul bagi petani dianggap penting dengan skor rata-rata tingkat kepentingan sebesar 4.14 (skala 1 – 5); dan 3) petani merasa puas dengan kinerja pengepul sebagai agen pemasar dengan skor rata-rata tingkat kepuasan 3.79 (skala 1 – 5) atau dikategorikan puas sebesar 76% (66% < CSI £ 80%).  Dari hasil penelitian ini menjelaskan bahwa keberadaan pengepul masih diperlukan bagi petani dengan luas lahan garapan relative sempit dan terbatas modal usahataninya. Agar petani tidak terlalu lemah daya tawar harga malai Pandanwangi, para petani perlu bergabung ke dalam kelompok tani.
PAKET INOVASI BAHAN ORGANIK UNTUK EFISIENSI PUPUK ANORGANIK ( N P K ) PENINGKATAN PERTUMBUHAN DAN HASIL BEBERAPA GENOTIPE KEDELAI HITAM (Glycine max L. Merrill)
Authors: Sitawati Rini , Turmuktini Tien , Kurniawan Agung
Published: January 2021

Kedelai hitam adalah komoditas pangan kacang-kacangan yang mempunyai keunggulan untuk pembuatan kecap.  Pada penelitian ini diupayakan mencari beberapa genotif unggul dengan memberikan inovasi  bahan paket organik yang bervariasi guna meningkatkan pertumbuhan dan hasilnya serta efisiensi pupuk anorganik N P K. Percobaan dilakukan di Tanjungsari Kabupaten Sumedang. Rancangan yang digunakan yaitu Rancangan Petak Berbagi sebagai petak utama adalah paket inovasi bahan organik , anak petak adalah  genotipe kedelai hitam dan diulang  dua kali. Faktor pertama,  paket inovasi bahan organik terdiri dari empat taraf  100 % dosis N  P K rekomendasi,  75 % dosis N P K rekomendasi + Kompos Jerami, 50 % dosis N P K rekomendasi + Kompos Jerami + Pupuk Hayati dan  50 % dosis N P K rekomendasi + Kompos Jerami + Pupuk Hayati + Biochar. Faktor kedua, genotipe kedelai hitam terdiri atas lima taraf meliputi  Varietas Cikuray,  genotipe UNP 1,  genotipe UNP 2,  genotipe UNP 3 dan  genotipe UNP 4. Hasil percobaan menunjukkan terjadi interaksi antara beberapa genotipe kedelai hitam dengan paket inovasi bahan organik terhadap berat 100 butir biji. Hasil uji mandiri menunjukkan bahwa paket inovasi bahan oganik  memberikan pengaruh yang sama terhadap komponen pertumbuhan (tinggi tanaman danNisbah Pupus Akar ) dan hasil ( jumlah polong per tanaman, jumlah biji per tanaman, berat biji per tanaman, berat 100 butir biji), tetapi setiap genotipe menunjukkan hasil yang bervariasi dan hasil tertinggi ditunjukkan oleh paket inovasi bahan organik 50 % dosis N P K rekomendasi + Kompos jerami + Pupuk Hayati + Biochar dan  genotipe  UNP 1 .
Lateral Violence of Nurses in the Hospital Environment: The Need for Caring
Authors: Griffin Dee Anne , Kennedy Bernice
Published: January 2021

Abstract
Nurses today are plagued with doing more with less and are forced to work in high-stress situations. These conditions lead to a stressful situation and contribute to lateral violence. While lateral violence has the potential to be present in any setting, it is more prevalent in healthcare. The adage of “nurses eat their young” is still in effect today. With a change in focus from a to-do list with a focus on genuine caring, not only the nurse but the patient as well will benefit. The purpose of this analytical review of research literature was to evaluate the prevalence of lateral violence experienced by nurses, determine ways to identify and eradicate it and educate the medical community on the incidence and eradication of lateral violence. Jean Watson’s Theory of Human Caring was determined to be the most comprehensive approach for guiding this review. For nurses to provide optimal care to patients, nurses must be able to work in a positive team-like atmosphere. Future strategies for improving lateral violence in the hospital environment include more educational workshops and nursing residency programs. Scholars suggested educating nursing students early in their nursing curriculum on lateral/horizontal violence to reduce the effects of lateral/horizontal violence for the future.
Trichia sordida (Trichiaceae) – nowy dla Polski i Karpat gatunek śluzowca przyśnieżnego znaleziony w Tatrach
Authors: Ronikier Anna , Janik Paulina
Published: January 2021

Trichia sordida Johannesen represents the ecological guild of nivicolous myxomycetes, which occurs in mountainous areas at the edge of melting winter snow cover. It is not very common in the Northern Hemisphere and has never been reported from Poland. In the spring of 2020, two specimens of it were found in the Tatra Mts, in spruce forest close to the Polana Upłaz meadow on the Ciemniak massif (49°15′05.0″N, 19°52′46.4″E; Figs 1, 2). Together with the newly reported species the list of nivicolous myxomycetes reported from the Tatra Mts numbers eleven species. Trichia sordida is also reported for the first time for the entire Carpathian range.
Determination of the Irrigation Water Supply Services Cost.
Authors:   Krutov A.N.
Published: January 2021

The article considers the issues of the state water registry formation, its current
state analysis, composition of information and ways of its input. The results of the study make it possible to state that in its current form the state water registry does not correspond to the realities of the time. Analysis of private and official applications to the Federal Agency of Water Resources territorial bodies has demonstrated that the State Water Register in its current state cannot satisfy the most of the supplied inquiries. Among other problems, it is hardly possible to identify water bodies in terms of their location, this inevitably increases risks of these water bodies degradation. The article also provides recommendations for arranging the State Water Registry in the form of a map, combining the resources of automated information systems “State Water Registry” and “State Monitoring of Water Objects” and establishing a public service “Public Water Registry”. In addition, a new form of the state water register “1.9-gvr M – Water objects explored” has been developed; Using the example of the Mzymta River, a model of a new state water registry has been developed.
Quatro poemas judaicos
Authors: Candido Ester Klevanskis
Published: January 2021

Quatro poemas judaicos
caso Edgardo Mortara
Authors: Silva Deonísio da
Published: January 2021

Resenha a:
KERTZER, David I. O sequestro de Edgardo Mortara. Trad. Nivaldo Montigelli Jr. Rio deJaneiro: Rocco, 1998. 333p