bluuebunny/crossref_metadata_2025 huggingface dataset:
Beating Plastic Pollution: UNEP’s Priorities and Partnership in India
Authors: Bagai Atul , Henam Sonia Devi
Published: April 2021

Plastic pollution has become a major environmental concern around the world due to the rapidly increasing production, consumption of single-use plastic products, and our inability to manage it properly. Plastic production increased exponentially, from about 2 million metric tonnes in 1950 to 348 million metric tonnes in 2017, and it is expected to double in capacity yet again by 2040. However, only 9 percent of the 8.3 billion metric tonnes of plastic produced since the early 1950s, has been recycled, and that most plastic ends its life in landfills, dumps and the environment is an increasing cause of concern. Plastic pollution is a major challenge in developing nations like India, where garbage collection systems are often informal with low recycling rates. The COVID 19 pandemic has exacerbated the use of plastic through personal protective equipments (PPEs). Management of this biomedical plastic waste is an addition to this existing challenge. Tackling plastic pollution is high up on UNEP’s global agenda to enhance the political visibility of this concern, UNEP along with the Government of India designated it as the theme of World Environment Day 2018. UNEP also provides technical assistance through its partners to support India towards its national and sub-national initiatives. This paper highlights the magnitude of the problem and the role UNEP is playing in addressing some concerns.
Customer knowledge management competence evaluation of tourism enterprises based on ahp-fuzzy comprehensive evaluation method
Authors: Chen Guoyi , Zhang Jiansheng , Zhang Shangmin , Yan Bangquan
Published: April 2021

With the fierce competition under the background of knowledge-based economy, tourism enterprises are increasingly aware that they must turn their focus from traditional products to customers for the sake of survival and development. Integrating the customer relationship management and knowledge management, the customer knowledge management (CKM) has aroused higher attention from the tourism enterprises. As for how to determine the factors influencing the Customer knowledge management competence (CKMC) of tourism enterprises and their weights, an index system was established for evaluating CKMC of tourism enterprises based on the balanced score card (BSC) and knowledge management process, the weight design and consistency check of the indexes were implemented using the analytic hierarchy process (AHP), and the overall evaluation value and concrete index scores at all levels were obtained via the fuzzy comprehensive evaluation model. In the end, the scientificity and operability of the evaluation model were verified through an empirical analysis of China Youth Travel Service (CYTS). The results show that: (1) The business process, customer communication, system support, and market performance are important level I indexes used to measure the CKMC; (2) The key Level II factors influencing the CKMC of enterprises include customer knowledge sharing mechanism, timeliness of customer communication, degree of importance attached by senior leadership, and customer acquisition rate; (3) The evaluation model based on AHP and fuzzy evaluation method can objectively describe the overall up-to-standard degree of enterprises’ CKMC, and clearly identify the strengths and weaknesses. This research shows that the combination of AHP and fuzzy evaluation-based method is capable of more scientific and complete evaluation of CKMC, compensates for the deficiencies of single evaluation model, and provides a new method for the effective improvement of enterprises’ CKMC.
Transfer learning with deep convolutional neural network for automated plant identification in hainan island
Authors: Liu Wei , Feng Wenlong , Huang Mengxing , Han Huirui , Han Guilai , Lin Jialun
Published: April 2021

The Hainan Island has a generally high biological diversity with a wide variety of plant species, some of which are listed as endemic to the island. It is time-consuming and difficult, even for the botanist experts to determine the name of species based on observations. Automated plant identification enables experts to process significantly greater numbers of plants with higher efficiencies in shorter periods of time. However, plant recognition is a kind of fine-grained visual recognition problem, which is relatively harder than conventional image recognition. In this paper, we employ a Deep Convolutional Neural Network (DCNN) trained on the ImageNet database, which contains millions of images, and then transfer the learning information for automated plant identification based on flower and fruit images. First, we modify the last three layers of the pre-trained network in order to adapt ResNet-50 model to our classification task, and replace the fully connected layer in the original pre-trained network with another fully connected layers, in which the output size represents the class of plants. Secondly, we use transfer experience and fine-tuned pre-trained DCNN for experiments using flower and fruit images. Finally, we evaluate the proposed network on two available botanical datasets: the Oxford flowers dataset with 102 classes and the HNPlant flowers and fruits dataset with 20 classes, and determine the optimal values of the associated hyperparameters to improve the overall performance. Experiment results demonstrate that the highest classification accuracies exhibited by the proposed model on the Oxford-102 and HNPlant-20 datasets are 92.4% and 95.0%, respectively, thus establishing their effectiveness and superiority.
Assessment of intellectual property-driven innovation and entrepreneurial development using fuzzy analytical method
Authors: Liu Yang , Yan Xin , Shiwei Xiao
Published: April 2021

Nowadays, innovation and entrepreneurial development is increasingly accepted as the source of wealth, competitiveness, and advancement of modern society, thereby becoming a component of political agenda of developed and emerging countries. In China, intellectual property education gains unprecedented development during the construction of considerable power in intellectual property and innovation-driven strategy. However, integration is rare for interdisciplinary knowledge –a training system integrating intellectual property education and practical abilities of innovation and entrepreneurship in universities and colleges in China. As a result, college students have significantly lower practical ability in solving problems with intellectual properties compared with their understanding of theoretical knowledge. Innovation and entrepreneurship observe not only a certain validity assumption, but also a structured method. On this basis, this study proposes a talent training system of “setting up a goal, integrating a framework, designing a method and establishing a system”. Based on fuzzy analysis, the intellectual property education of universities and colleges in China and improvement of abilities among Chinese university students in innovation and entrepreneurship are taken as the research objective. Through theory-driven practice intellectual property education is included into the innovation and entrepreneurship framework to stimulate innovative thinking and introduce a scientific evaluation system to drive development.
Integrating rough set theory with customer satisfaction to construct a novel approach for mining product design rules
Authors: Wang Tianxiong , Zhou Meiyu
Published: April 2021

When users choose a product, they consider the emotional experience triggered by the product form. In view of the fact that traditional kansei engineering can not effectively reflect the complex and changeable psychological factors of users, and it has not explored the complex relationship between customer satisfaction and perceptual demand characteristics. To address this problem, some uncertainty techniques including rough sets and fuzzy sets are applied to capture more accurate emotion knowledge. Therefore, this research proposes an integrated evaluation gird method (EGM), rough set theory (RST), continuous fuzzy kano model (CFKM), fuzzy weighted association rule mining method to extract the significant relationship between user needs and product morphological features. The EGM is applied to analyze the attractive factor of morphological characteristics of the product, and then the demand items with the highest satisfaction are analyzed through CFKM. The semantic difference method is combined to construct a decision table, and through attribute reduction and importance calculation to obtain the weight of the core product design items. In order to explore the non-linear relationship between design elements and kansei images, the fuzzy weighted association rule mining method was applied to obtain the set of frequent fuzzy weighted association rules based on evidence theory’s reliability indices of minimum support and confidence so as to realize user demand-driven product design. Taking the design of electric bicycle as an example, the experiment results show that the proposed method can help companies or designers develop products to generate good solutions for customer need.
Complex q-rung orthopair fuzzy Schweizer–Sklar Muirhead mean aggregation operators and their application in multi-criteria decision-making
Authors: Liu Peide , Mahmood Tahir , Ali Zeeshan
Published: April 2021

Complex q-rung orthopair fuzzy set (CQROFS) is a proficient technique to describe awkward and complicated information by the truth and falsity grades with a condition that the sum of the q-powers of the real part and imaginary part is in unit interval. Further, Schweizer–Sklar (SS) operations are more flexible to aggregate the information, and the Muirhead mean (MM) operator can examine the interrelationships among the attributes, and it is more proficient and more generalized than many aggregation operators to cope with awkward and inconsistence information in realistic decision issues. The objectives of this manuscript are to explore the SS operators based on CQROFS and to study their score function, accuracy function, and their relationships. Further, based on these operators, some MM operators based on PFS, called complex q-rung orthopair fuzzy MM (CQROFMM) operator, complex q-rung orthopair fuzzy weighted MM (CQROFWMM) operator, and their special cases are presented. Additionally, the multi-criteria decision making (MCDM) approach is developed by using the explored operators based on CQROFS. Finally, the advantages and comparative analysis are also discussed.
Extended TOPSIS method based on the entropy measure and probabilistic hesitant fuzzy information and their application in decision support system
Authors: Naeem Muhammad , Khan Muhammad Ali , Abdullah Saleem , Qiyas Muhammad , Khan Saifullah
Published: April 2021

Probabilistic hesitant fuzzy Set (PHFs) is the most powerful and comprehensive idea to support more complexity than developed fuzzy set (FS) frameworks. In this paper a novel and improved TOPSIS-based method for multi-criteria group decision making (MCGDM) is explained through the probabilistic hesitant fuzzy environment, in which the weights of both experts and criteria are completely unknown. Firstly, we discuss the concept of PHFs, score functions and the basic operating laws of PHFs. In fact, to compute the unknown weight information, the generalized distance measure for PHFs was defined based on the Probabilistic hesitant fuzzy entropy measure. Second, MCGDM will be presented with the PHF information-based decision-making process.
Robust subspace clustering based on latent low rank representation with non-negative sparse Laplacian constraints
Authors: Xu Zhixuan , Chen Caikou , Han Guojiang , Gao Jun
Published: April 2021

As a successful improvement on Low Rank Representation (LRR), Latent Low Rank Representation (LatLRR) has been one of the state-of-the-art models for subspace clustering due to the capability of discovering the low dimensional subspace structures of data, especially when the data samples are insufficient and/or extremely corrupted. However, the LatLRR method does not consider the nonlinear geometric structures within data, which leads to the loss of the locality information among data in the learning phase. Moreover, the coefficients of the learnt representation matrix can be negative, which lack the interpretability. To solve the above drawbacks of LatLRR, this paper introduces Laplacian, sparsity and non-negativity to LatLRR model and proposes a novel subspace clustering method, termed latent low rank representation with non-negative, sparse and laplacian constraints (NNSLLatLRR), in which we jointly take into account non-negativity, sparsity and laplacian properties of the learnt representation. As a result, the NNSLLatLRR can not only capture the global low dimensional structure and intrinsic non-linear geometric information of the data, but also enhance the interpretability of the learnt representation. Extensive experiments on two face benchmark datasets and a handwritten digit dataset show that our proposed method outperforms existing state-of-the-art subspace clustering methods.
With great power comes great ability: Extending research on fitness characteristics that influence work sample test battery performance in law enforcement recruits
Authors: Lockie Robert G. , Moreno Matthew R. , Rodas Karly A. , Dulla Joseph M. , Orr Robin M. , Dawes J. Jay
Published: April 2021

BACKGROUND: Fitness could influence task performance in police officers. Limited research details relationships between different fitness characteristics and police-specific tasks. OBJECTIVE: Determine relationships between anaerobic and aerobic capacity with police-specific task performance. METHODS: Data for 308 recruits was analysed. Fitness tests included: push-ups, sit-ups, and mountain climbers (muscular endurance); pull-ups (strength); vertical jump (VJ) and 2 kg medicine ball throw (MBT; power); 75-yard pursuit run (75PR; change-of-direction speed); 201 m run (anaerobic capacity); 2.4 km run and multistage fitness test (aerobic capacity). Police tasks included: 99-yard obstacle course (99OC); 74.84 kg body drag (BD); chain link fence (CLF) and solid wall (SW) climbs; and 500-yard run (500R). Partial correlations controlling for sex and linear regression calculated relationships between fitness and job tasks. RESULTS: 99OC correlated with all assessments; BD only with 75PR. CLF related to the power and aerobic capacity tests, pull-ups, and 201 m run. SW related to VJ, 75PR, pull-ups, sit-ups, 201 m run, and aerobic capacity. 500R related to all except the MBT and 2.4 km run. 75PR and VJ predicted 4/5 tasks. CONCLUSIONS: Police research has shown the importance of muscular endurance and aerobic capacity. Specific to this studies’ correlations, the value of power and change-of-direction speed development for task performance was indicated.
recuperação extrajudicial realizada por tabelião de protestos de títulos e outros documentos de dívidas
Authors: Silveira Thiago Cortes Rezende
Published: April 2021

O trabalho tem como objetivo geral demonstrar que o Tabelião de Protestos é agente público apto a reconhecer o pedido de Recuperação Extrajudicial. Para tal desiderato, seria necessária a elaboração de lei regulatória. Tal lei vai ao encontro do novo cenário político, social e jurídico, que é a autocomposição de conflitos. O abarrotamento jurisdicional é tema relevante, sobretudo ao Poder Público, no intuito de criar políticas públicas para proporcionar o desafogamento do Judiciário. Como objetivo específico, será utilizado o Provimento nº 72/2018 CNJ, que dispôs sobre medidas de incentivo à quitação ou à renegociação de dívidas protestadas nos tabelionatos de protestos do Brasil. Ao final do estudo chegar-se-á a conclusão que o Tabelião de Protestos é agente público capaz de conduzir todo o procedimento do Pedido de Recuperação Extrajudicial, uma vez que o mesmo foi a pessoa escolhida pelo Estado para negociar ou renegociar dívidas entre credores e devedores.
A deep-learning model for semantic role labelling in medical documents
Authors: Hoài Đức Tuấn Nguyên , Tứ Trần Tiện Lợi Long , Huy Lê Đình Việt
Published: April 2021

We built a model labelling the Predicate Argument Structure (PAS) for biomedical documents. PAS is an important semantic information of any document, because it reveals the main event mentioned in each sentence. Extracting PAS in a sentence is an important premise for the computer to solve a series of other problems related to the semantics in text such as event extraction, named entity extraction, question answering system… The predicate argument structure is domain dependent. Therefore, in Biomedical field, it is required to define a completely new Predicate Argument frame compared to the general field. For a machine learning model to work well with a new argument frame, identifying a new feature set is required. This is difficult, manual and requires a lot of expert labor. To address this challenge, we chose to train our model with Deep Learning method utilizing Bi-directional Long Short Term Memory. Deep learning is a machine learning method that does not require defining the feature sets manually. In addition, we also integrate Highway Connection between hidden neuron layers to minimize derivative loss. Besides, to overcome the problem of small training corpus, we integrate Deep Learning with Multi-task Learning technique. Multi-task Learning helps the main task (PAS tagging) to be complemented with knowledge learnt from a closely related task, the NER. Our model achieved F1 = 75.13% without any manually designed feature, thereby showing the prospect of Deep Learning in this domain. In addition, the experiment results also show that Multi-task Learning is an appropriate technique to overcome the problem of little training data in biomedical fields, by improving the F1 score.
On predicting highy the y expressed genes for Escherichia coli based on mRNA microarray data
Authors: Vo Nam Tri , Pham Nghia Trung , Truong Nhat Ha Minh , Tran Thuoc Linh , Nguyen Hoang Duc
Published: April 2021

Highly expressed genes [HEG] are genees available in the organism, which carry the preferred codons for the expression system. Identifying HEG helps to find preferred codons and use them in the gene optimization to express target protein. Currently, HEG-DB are the only database to store HEG data of many strains of microorganisms, but the data are still not updated and maintained. Therefore, our research is carried out to predict HEG in the E. coli K-12 MG1655 strain based on reference sets that are the mostly used ribosomal protein coding genes and genes with high transcription levels from microarray data proposed by the research. Next, the results of HEG from the two above reference sets, HEG-RP and HEG-mRNA, were compared. Finally, we analyzed and compared the HEG that the project predicted with HEG from HEG-DB database. The results from RP and 100-mRNA reference sets were completely identical and were better than data from HEG-DB in the number of HEGs, CAI values and the number of genes contributing to important metabolic pathways. The results showed that it was possible to use reference sets from mRNA microarray data instead of ribosomal protein reference sets in HEG prediction
Influence of N2 doping on photodective properties of p-typed Zn-N co-doped SnO2/n-Si heterojunction
Authors: Le Tran , Dang Huu Phuc
Published: April 2021

This work studied the effects of Zn and N co-doping on the crystal structure, electrical properties, and photoelectric effects of p-typed Zn-N co-doped SnO2/n-Si heterojunction. Zn and N co-doped SnO2 films (ZNTO) were deposited on n-type Si substrates at 300oC in different sputtering gas mixture Ar/N2 (% N = 0%, 30%, 50%, 60%, 70 % and 80%) from 5 wt% ZnO doped SnO2 target by the DC magnetron sputtering method. The crystal structure, surface morphology, chemical composition, electrical properties, and photoelectric effects of ZNTO films were investigated by measurements such as X-ray diffraction, FESEM, AFM, EDS, Hall, and I-V. The results showed that all films had a rutile structure, and the SnO2 (101) reflection was dominant on the optimal fabrication of 70% N2. Substitution of Sn4+ by Zn2+ and O2􀀀 by N3􀀀 were determined by the X-ray diffraction pattern (XRD) and X-ray energy scattering spectrum (EDS). The lowest resistivity for the ZNTO-5-70 film was r= 6.5010􀀀2 W.cmwith carrier concentration n = 1.461019 cm􀀀3 and hole mobility m = 6.52 cm2.V􀀀1.s􀀀1 respectively. I-V characteristics of the p – ZNTO – 5 – y/n – Si under the illumination condition showed the p-type electrical properties and their application as optical sensors. The ZNTO – 5 – y films' optical response current characteristic had high sensitivity and good reproducibility.
Aspects of influence of monetary policy on dynamics of agro-industrial com-plex development
Authors: Muzyka P. M. , Brychka B. B. , Honcharenko L. V.
Published: April 2021

The main approaches to the interpretation of the essence of monetary policy arepresented in the article, as well as the author’s definition are substantiated. The author highlights the main characteristics of monetary policy, in particular its target orientation, specific time horizon, the presence of a clear mechanism of monetary policy, as well as the coordinated and balanced using of a set of monetary instruments to achieve each goal. In addition, the components of the stability of the currency are substantiated, which includes price stability, stability of interest rates, as well as the stability of the national currency exchange rate. The influence of each of the components of the currency stability on the dynamics of agro-industrial complex development is substantiated. First of all, price stability ensures stable income from the sale of agro-industrial products in the domestic market. In this case, the dynamics of real earnings of agricultural enterprises will depend on changes in relative prices. Stability of interest rates is important in terms of incentives for agricultural enterprises to obtain additional credit resources. The impact of the stability of the national currency exchange rate on development of agro-industrial complex can be traced in two directions. First of all, agricultural enterprises are interested in stable exchnage rate of hryvnia due to the import of mineral fertilizers, seeds, feed additives, foreign equipment for the production and processing of agricultural products, agricultural machinery, etc. Devaluation of the hryvnia during the period of import purchases of necessary raw materials provokes a future increase in the cost of agricultural products. At the same time, agricultural enterprises are interested in a certain devaluation of the hryvnia, which will stimulate the export of agricultural products and ensure the stability of incomes in the national currency.
The main trends and perspectives of pork production development in the world
Authors: Maksym V. , Chemerys V. , Dushka V. , Berezivskyi Y.
Published: April 2021

The pig breeding behaves to the most more widespread directions of stock-raising in the world, which forms considerable part in balance of meat and meat products in many countries. The level of pork production and industry development volumes on the whole substantially influences on world food security. In the article the presented results of research are in relation to consisting and basic tendencies of pork production in the world and in the separate countries where the pig breeding is most developed. Conducted analysis of hog herds dynamics production and pork volumes in the world, and also basic factors which substantially influenced on development of the pig breeding for probed period are set. Certainly structural influence of most producers of pork is in the world on the indexes of industry development. Investigational the stance of pork production, and also conducted analysis of standard purchase prices, is on pigs in different countries in the world. Presented information in relation to the structure of pork export and import in the world and in the separate countries which most influence on pork market development. Positions and influence of Ukraine are appraised at the international market of pork. The basic prospects of pork production development are set and grounded in the world and in the separate countries, in particular in Ukraine. The production of pork in the world during 2017–2019 years decrease on 8.1 %, and the pigs herd dynamic diminished on 13 %. A sharp downstream of pork herd is in the world connected with spread of dangerous infectious diseases of zoon’s, which the African swine fewer, which resulted in considerable reduction of herd and meat production particular in China on which was nearly 40 % in world production. However, compensated a downstream in countries South-East Asia in a greater measure of industry development of the pig breeding in the USA, Brazil and EU, which behave to the basic exporters of pork in the world, which is form about 85 % of global products export. One with positive factors, which in the future will assist the pig breeding development in the world there is gradual growth of pork production and consumption in the developing countries, where an increase of herd, and also increase the technological efficiency of swine growing. The considerable not realized potential of the pig breeding industry in many countries, in particular in Ukraine, which is one of most in the world producers and exporters of feed crops, necessary for industry development.
Manual de classificação utilizando o plugin Orpheu Toolbox (OTB) e o algoritmo ‘Bayes’, referente à classificação de Máxima Verossimilhança (MAXVER) – QGIS
Authors: Cruz Uilmer Rodrigues Xavier da , Parreiras Taya Cristo , Vieira Fabiana Carmo de Vargas , Santos Jasmim Dias dos
Published: April 2021

Manual de classificação supervisionada de composição em falsa-cor com imagens do Sentinel 2B, de região agrícola, utilizando o plugin Orpheu Toolbox (OTB) e o algoritmo ‘Bayes’, referente à classificação de Máxima Verossimilhança (MAXVER).
Os cuidados psicológicos e depressão em indivíduos submetidos a cirurgia bariátrica
Authors: Serra Janete Rodrigues , Botelho Helena Rubia De Santana
Published: April 2021

Esta pesquisa teve como objeto de estudo a depressão em pacientes que fizeram a cirurgia bariátrica; em alguns casos os pacientes tendem a demonstrar efeitos psicossociais após a cirurgia, sendo a depressão um dos mais comuns. O psicólogo, nesses casos, é de suma importância no pré e no pós-operatório do paciente. A relevância desta pesquisa se dá para que outras pesquisas possam contribuir com a compreensão do fenômeno, e, assim, contribuir para a elaboração de propostas de interesse em saúde pública. A pesquisa foi de abordagem qualitativa com revisão bibliográfica de estudo do tema, exploratória. Utilizou-se o método indutivo, buscando a constatação de dados. Para tanto, foram consultados os bancos de dados Scientific Eletronic Library Online (Scielo), Google Acadêmico compreendendo artigos com publicações referentes aos últimos 05 anos. Os resultados encontrados evidenciam a depressão e outros gravames. Como alguns resultados, pode-se explicitar o conhecimento de como os padrões impostos pela sociedade afetam diretamente a população obesa a ponto de investirem em procedimentos agressivos, a exemplo da cirurgia bariátrica e como o acompanhamento do psicólogo é importante para o autoconhecimento e reconhecimento da hora certa ou não para a cirurgia.
Girişimcilik Becerisinin Kazandırılmasında Proje Tabanlı Öğrenme Yaklaşımı: Japonya Örneği
Authors: TARHAN Murat , GÜLMEZ Ahmet
Published: April 2021

Dünya genelinde eğitim-öğretim faaliyetlerinin başarı durumlarının belirli standartlar dâhilinde değerlendirildiği PISA ve TIMSS gibi araştırmalar bulunmaktadır. Ülkeler uluslararası alanda kendi durumlarını görmeleri ve karşılaştırma yapmaları açısından bu sonuçları önemsemektedirler. Bu nedenle PISA ve TIMSS gibi uluslararası araştırmalara katılan ülke sayısı her geçen gün artmaktadır. Bu araştırmaya dâhil olan ülkeler çıkan sonuçları eğitimde yapacakları iyileştirmelerde ve politika oluşturmada bir araç olarak kullanmaktadırlar. Bu nedenle iki platform içerisinde ilk sıralarda yer alan Japonya araştırmaya konu edilmiştir. Japonya’da eğitim-öğretim faaliyetleri sürecinde projelerin sıkça kullanıldığı görülmüş ve bu bağlamda girişimcilik becerisine yönelik proje uygulamaları “Proje Tabanlı Öğrenme” çerçevesinde değerlendirilmeye çalışılmıştır. Araştırma nitel araştırma yöntemlerinden birisi olan doküman inceleme yöntemi ile oluşturulmuştur. Verilerin toplanmasında doküman inceleme formu kullanılmıştır. Verilerin analiz edilmesinde betimsel analiz ve içerik analizine başvurulmuştur. Araştırma sürecinde Japonya’da eğitimin her kademesinde projelerin kullanıldığı tespit edilmiştir. Özellikle ilkokul, ortaokul ve lise düzeyindeki okullarda girişimcilik becerisinin geliştirilmesi girişimcilik eğitimine yönelik hedeflenen beceri ve değerlerin gerçekleştirilmesinde projelerden nasıl yararlanıldığı ifade edilmiştir. Bu bağlamda proje uygulama basamakları belirli kriterler doğrultusunda değerlendirilmiştir.
Transformando uma muralha em fronteira: a conexão do Vale do Paraíba do Sul ao litoral no Brasil oitocentista
Authors: Santa Cruz de Assis Brasil Lucas , Oliveira Rogério R.
Published: April 2021

A comunicação entre as áreas produtivas e os portos era de extrema relevância no sistema colonial. Carros de boi, em menores declividades, e tropas de mulas, utilizadas em terrenos mais acidentados, foram os principais meios de transporte de mercadorias durante a colonização. A criação, manutenção e uso dos caminhos produziu alterações na paisagem perceptíveis até os dias atuais. A Serra da Bocaina, acidente geográfico interposto entre o porto de Mambucaba e o Vale do Paraíba do Sul é um exemplo emblemático de modificações geradas por agentes humanos ao atravessarem a serrania com as tropas de mulas em direção ao litoral. A abertura de tratos na floresta há séculos para repouso e alimentação animal alterou a fitofisionomia de algumas porções da serra, substituindo a flora anteriormente existente por áreas de vegetação aberta, compostas por gramíneas e herbáceas exóticas e nativas. Os “Campos da Bocaina” podem ser interpretados como resultantes ecológicas do tropeirismo na Serra do Mar, um fenômeno geográfico que evidencia o trabalho oculto na paisagem, observável na fitofisionomia de tais áreas.
Las ideas sobre el desarrollo en la historia del pensamiento ambientalista latinoamericano
Authors: Mora Aín Huerquén , Peinado Guillermo
Published: April 2021

El documento presente pretende abordar, de manera histórica, las diferentes ideas sobre la relación entre producción y medio ambiente a lo largo de la historia reciente en Latinoamérica. Específicamente, pretendemos elaborar como esas ideas entre producción y medio ambiente penetraron en la sociedad civil y cómo fue su relación en torno al concepto de desarrollo. El objetivo de este trabajo no es generar consenso sobre las definiciones y los principales aportes al pensamiento ambiental latinoamericano. Nuestra elaboración busca aportar una visión general y personal, cuya intención es marcar algunos ejes críticos que permitan un mayor desarrollo de este pensamiento en nuestra región. En relación con el objetivo general se verifica que el devenir histórico de las ideas ambientalistas derivó en dos corrientes antagónicas: por un lado, una propuesta asociada al desarrollo sustentable expresada por los organismos internacionales en donde existe una conciliación entre desarrollo y medio ambiente; al contrario de esta propuesta se presenta una idea más identitaria que señala las contradicciones entre el concepto de desarrollo y ambiente y propone la elaboración de prácticas económicas alternativas que se enfrentarse a las visiones tradicionales hegemónicas del desarrollo sustentable.
Geografía e Historia ambiental. Una reseña desde la mirada arqueológica.
Authors: Álvarez Larrain Alina
Published: April 2021

Urquijo, Pedro S., Vieyra, Antonio y Bocco, Gerardo. Geografía e Historia Ambiental. (Morelia: Centro de 21 Investigaciones en Geografía Ambiental - CIGA, UNAM, 2017)
The Response of Foxtail Millet Candidate Varieties from Nagekeo Regency to Leaf Blight (Bipolaris setariae)
Authors: Suriani Suriani , Muis Amran , Kalqutny Septian Hary
Published: April 2021

Foxtail millet has the potential to be developed as a healthier food alternative because of its high nutritional value. Disease such as leaf blight caused by Bipolaris setariae is one of the limiting factors in Foxtail millet productivity. One of the efforts to control the pathogen is by utilizing resistant varieties. In this study, two candidate varieties and two germplasm accessions were tested to determine the level of resistance to Bipolaris setariae leaf blight. The study was arranged based on a complete randomized design with six replications. Each test material was inoculated with the spore suspension at 4 WAP. Disease intensity was observed based on the disease scoring at 7, 9, and 11 WAP. AUDPC value is calculated based on the intensity of the attack at a particular observation time. Grain weight was recorded and statistically analyzed. The two candidate varieties of foxtail millet Pagamogo and Tedamude from Nagekeo Regency showed a moderately resistant response to leaf blight and had the lowest AUDPC values of 907.69 and 912.31. The highest increase in AUDPC values was observed in the initial observation period at 0-49 DAP.
Lux Meter as A Measuring Instrument for Operating Lamp Light Intensity Based on Arduino Uno R3
Authors: Wijaya Nur Hudha , Sutrimo Sutrimo
Published: April 2021

The light in the operating room has a special luminance intensity standard, so the light intensity needs to be known, because it adapts to lighting needs and functions. The lamps used for operating lighting must meet the requirements stipulated by law, good lighting is lighting that suits your needs, for operating rooms that are 300-500 lux and for operating tables 10,000-20,000 Lux. The problem in the field is that not all hospitals have a lux meter measuring instrument, so when taking measurements if there is an unsuitability of the light it brings a third party, from the problem so that it is not dependent, the research method used is the experimental method, with Arduino uno R3 programming. The Lux meter that has been made has been successful and has been tested with a calibration tool, in this case the calibration test is carried out in the hospital. Based on the calibration test data shows quite good results, the measurement data has been tested 20 times with a distance of 1 meter and 20 times at a distance of 1.5 meters. Based on the measurement and comparison of data, it can be concluded that the error of the tool is relatively low, namely 0.01% at a distance of 1 meter with a difference of 2 lux, and an error value of 0.23% at a distance of 1.5 meters with a difference of 24 lux. For distance measurement and timer, the error is 0% so that it has a difference of 0%.
Optimalisasi Pemanfaatan Grid Connected Rooftop Solar Photovoltaic (SPV) Sebagai Pengembangan Green Energy System
Authors: Harmini Harmini , Nurhayati Titik
Published: April 2021

Gedung Fakultas Teknik Universitas Semarang berpotensi untuk dilakukan pemasangan rooftop solar photovoltaic (SPV) sehingga menghasilkan energi listrik dari sumber energi matahari. Energi yang dihasilkan oleh system SPV dapat digunakan untuk mencukupi kebutuhan listrik pada siang hari, sehingga pemenuhan energi listrik dapat dibagi dari PLN dan Rooftop SPV. Pemanfaatan rooftop SPV mempunyai beberapa keunggulan yaitu  pemanfaatan energi matahari lebih maksimal dan meminimalisir penghalang karena, serta lebih mudah untuk diintegrasikan dengan sistem kelistrikan yang sudah ada. Perancangan system Rooftop SPV perlu dilakukan untuk mengoptimalisasi pemanfaatan energi matahari sebagai salah satu pengembangan green energy system agar dapat memprediksi berapa daya atau energy yang mampu dihasilkan.  Daya dan energy yang dihasilkan oleh grid connected rooftop SPV dihitung berdasarkan data meteorologi radiasi matahari dan temperature Tahun 2019 dari BMKG Kota Semarang serta dimensi luas atap Gedung. Penelitian ini divalidasi dengan menggunakan software PVSYS 6.8.1. Hasil penelitian menunjukkan  bahwa kebutuhan daya dan energi sebesar 103.87 kW dan 1371.74 KWh dengan dimensi atap gedung sebesar 441 m2. Atap gedung mampu menampung jumlah modul SPV sebanyak 356 Unit dengan total daya dan energi sebesar 85.119 Kw dan 658.6 KWh. Pemanfaatan grid connected rooftop SPV ini mampu mensupply kebutuhan energi sebesar 81.9% dari total kebutuhan energi listrik pada gedung Fakultas Teknik
НІМЕЦЬКО-РАДЯНСЬКА ВІЙНА 1941–1945 рр.: БЕЗПОВОРОТНІ ЛЮДСЬКІ ВТРАТИ УКРАЇНИ
Authors: Іванчук В.А. , Новікова В.Г.
Published: April 2021

У повоєнний період в радянській історіографії з ідеологічних причин постійно приховувались дійсні масштаби людських втрат Радянського Союзу у Другій світовій війні. В той же час, необхідно віддати належ- не, офіційна статистика підкреслювала приблизну рівність представни- цтва всіх національностей у складі Червоної Армії періоду 1941–1945 ро- ків у відсотковому співвідношенні до загальної чисельності населення республік. Цей принцип дотримувався з тих же ідеологічних причин. У статті доводиться, що з розпадом Радянського Союзу та спрощен- ням доступу до архівів, об’єктивності та історичної справедливості в нових дослідженнях майже не добавилось. Навпаки, на догоду настро- ям відтворювачів імперії, в сучасній Російській Федерації запанувала кон- цепція про те, що «головну ношу війни виніс на собі російський народ».

Ключові слова: Друга світова війна, німецько-радянська війна, безпо- воротні втрати, статистичні дані, мобілізація, Червона Армія (РСЧА), СРСР, Україна, Міністерство оборони Російської Федерації.
УКРАЇНСЬКИЙ ВИМІРДРУГОЇ СВІТОВОЇ ВІЙНИ: НАУКОВИЙ ДИСКУРС
Authors: Шевчук В.П. , Фурман І.І. , Пилявець Р.І.
Published: April 2021

У статті продовжено розгляд теми українського виміру Другої світової війни, окремі аспекти якої висвітлено у статті, над- рукованій у «Воєнно-історичному віснику» № 2 (36) за 2020 рік. Розгля- дається територія України як театр воєнних дій ворогуючих сторін. Стверджується, що на українських землях відбулися найзапекліші опе- рації початкового і першого періодів німецько-радянської війни; аналізу- ються людські втрати України у роки Другої світової війни. Доводить- ся, що війна повністю змінила етнічне обличчя українського суспільства. З урахуванням нових досліджень показано внесок українців у Перемогу над нацизмом. Розглядається місце Другої світової війни в сучасній істо- ричній пам’яті українського народу.
Parameterization of Debye Model for Dielectrics Using Voltage Response Measurements and a Benchmark Problem
Authors: Mustafa Ehtasham , Németh Regina Mária , Afia Ramy S. A. , Tamus Zoltán Ádám
Published: April 2021

The Voltage Response measurement since its introduction in the 1960s has been used successfully for the diagnostics of electrical insulation. The method is based on two quantities of decay and return voltage slopes and can be used to study the conduction and polarization processes inside the insulation. Extended Voltage Response method, being an advanced version of the Voltage Response measurement helps in further studying the polarization process by using a large polarization spectrum and hence dielectric relaxation processes. These dielectric relaxation processes can be modeled by the Debye model. Since as most of the techniques used for diagnostic purpose does not give the information about the conduction and polarization processes separately, it is difficult to determine the R-C parameters of the Debye model. The Voltage Response technique is very useful in this regard because of the two voltage slopes. The paper shows a novel experimental benchmark for testing the function fitting methodologies of the Voltage Response methodologies, which helps in determining the R-C parameters. Moreover, the problem can be used for testing the novel genetic, evolutionary algorithms, where benchmarking is an actual challenge. The proposed nonlinear function fitting method uses the genetic algorithms via the Ārtap framework, which lets it possible to select the most accurate optimization algorithm from the provided list of the algorithms and achieve better fitting precision, faster calculation time or more powerful processing ability.
Understanding the Obama Administration’s Syria Policy
Authors: ATEŞ Ahmet
Published: April 2021

President Obama’s Syria policy and his decision not to intervene in Syria had long been criticized by the US political elites, scholars, and pundits. Most of the explanations of the US policy towards the Syrian civil war are based on realpolitik arguments. Realpolitik explanations of foreign policy analysis tend to overlook other key factors that play a vital role in foreign policy decision making processes. Therefore, these studies fail to explain Obama’s Syria policy adequately. This article aims to provide a more comprehensive explanation of Obama’s Syria policy. I argue that Obama’s Syria policy can be better explained by two other approaches: mass politics and psychological and cognitive approaches. After a thorough examination of relevant literature and President Obama’s interviews and speeches, I argue that President Obama chose not to intervene in Syria because US public opinion was extremely reluctant to send US troops to Syria, and there was not an effective interest group that could impact the public opinion and the administration’s policies. Further, President Obama’s beliefs and attitudes also played a vital role in determining his Syria policy. First, Obama’s fundamental beliefs shaped how he approached the Syrian crisis. Then, his interaction with several actors and crises affected his attitude towards Syria and how the situation should be handled. His speeches and interviews show that Libyan intervention affected his perceptions. Therefore, he did not implement the same option in the Syrian case. Likewise, Obama’s categorization of the Middle East leaders and threats affected his Syria policy. Last but not least, diplomatic encounters and his personal experience also played a role in determining his Syria policy.
WHAT IS A GOOD PRACTICE OF SCIENCE TEACHING? SOME PATHS
Authors: Baptista Mónica
Published: April 2021

Maria is a 17 year old 9th grade student with low academic success. Her school history is marked by several stories of failure in Physics and Chemistry. Yet, the 9th grade of Maria was different; as she says, she managed to achieve “a great mark ". Therefore, what has taken Maria to find the Physics classes so good? The answer to this question leads us to another one, more complex, that can have various possible answers: After all, what is a good practice of science teaching?
To answer this question requires, first of all, to think about what students are expected to learn and what competencies they should obtain in school to meet the challenges of today's society, in all its uncertainty and endless changes. Nowadays, it is widely acknowledged that to understand and act in an informed and reflected manner in such a society it is essential that students develop their critical thinking and creativity as well as problem solving, communication, digital, social, intercultural and linguistic skills.
Public Response to Online Public Debate in the 2020 Regional Head Election of Ponorogo Regency
Authors: Kumara Alifa Chandra , Dewi Dian Suluh Kusuma
Published: April 2021

This year, regional head elections were held in the midst of the Covid-19 pandemic so that social media can be used as a means of online campaigns to reduce mass gathering. This research was conducted to see the response of the Ponorogo community in participating in online public debates and to assess people's political participation by analyzing public comments on public debate shows on YouTube and Facebook. The data is processed using the Nvivo12 plus application by using cross tabulation data analysis techniques with manual coding then the results of the data obtained are described and analyzed in accordance with the theory of response and political participation. The data obtained on Facebook and YouTube were 772 responses with details of 357 responses on Facebook and 415 responses on YouTube. The responses given are in the form of positive, negative, and neutral responses. The process of obtaining data on public response is in accordance with the S-O-R response theory (Stimulus, Organism, Response) and the stage of response formation, as well as the political participation of the Ponorogo community is high enough to see the debate shows but the level of activeness in giving responses is less active.
Company Responbility toward Employees Due to Pailit
Authors: Pohan Masitah
Published: April 2021

Company bankruptcy is a corporate legal phenomenon that is often greatly feared, either by company owners or by its management. Because with company bankruptcy, it means that the company has failed in doing business or at least has failed to pay its debts (debts). The purpose of this research is to identify and analyze the factors of company bankruptcy, the position of employees due to bankruptcy based on Law Number 13 of 2003, due to the legal consequences of bankruptcy against employees based on Law Number 37 of 2004. The research conducted is juridical normative, data sources which is used to support this research is a secondary data source. Factors for the occurrence of company bankruptcy are caused by unpredictable external factors, such as natural disasters. The position of employees due to bankruptcy based on Law Number 13 of 2003 is in Article 95 paragraph (4), clearly and emphasizes that wages and other rights of workers / labor are debts whose payment is prioritized to protect and ensure the survival of their lives and their families. . However, in reality the workers' position is under bankruptcy fees and curator fees, which means that workers must be more patient and stay behind after the bankruptcy of the bankruptcy estate is used to pay taxes, creditors who hold collateral (separatist creditors), bankruptcy fees and curator fees. The legal consequence of the occurrence of bankruptcy for employees based on Law Number 37 Year 2004 is Article 39 paragraph (1) of the Bankruptcy Law.
Strategic Plan Development for the Implementation of Balanced Scorecard as a Performance Measuring Instrument at Gotong Royong Hospital Surabaya
Authors: Lestari Indah Puji , Asyik Nur Fadjrih , Mildawati Titik
Published: April 2021

This study aims to determine the development of a strategic plan from the evaluation results of implementing the balanced scorecard as a performance measurement tool at the Gotong Royong Hospital, Surabaya. This type of research uses descriptive qualitative. This data collection technique is carried out through (1) Interview (2) Documentation. The data source of this research from primary data. The analysis of the application of the balanced scorecard is to find out how the company is performing, then identify the internal and external environment to determine the key factors. After obtaining the key factors, they are evaluated using the EFE Matrix, IFE Matrix, TOWS Matrix, and IE Matrix, which is then obtained the recommended alternative strategies. The results of the recommended priority strategy alternatives are assessed using QSPM Matrix. The results Analysis using the EFE Matrix, IFE Matrix, TOWS Matrix, IE Matrix and QSPM then obtained the chosen strategy, namely product development and market penetration strategies. Based on the TOWS analysis, the reserachers provide recommendations that can be used to strengthen the strengths and opportunities as well as control weaknesses and threats by developing 13 strategies chosen.