bluuebunny/crossref_metadata_2025 huggingface dataset:
A modified mayfly-SVM approach for early detection of type 2 diabetes mellitus
Authors: Patil Ratna , Tamane Sharvari , Rawandale Shitalkumar Adhar , Patil Kanishk
Published: November 2021

Diabetes mellitus is a chronic disease that affects many people in the world badly. Early diagnosis of this disease is of paramount importance as physicians and patients can work towards prevention and mitigation of future complications. Hence, there is a necessity to develop a system that diagnoses type 2 diabetes mellitus (T2DM) at an early stage. Recently, large number of studies have emerged with prediction models to diagnose T2DM. Most importantly, published literature lacks the availability of multi-class studies. Therefore, the primary objective of the study is development of multi-class predictive model by taking advantage of routinely available clinical data in diagnosing T2DM using machine learning algorithms. In this work, modified mayfly-support vector machine is implemented to notice the prediabetic stage accurately. To assess the effectiveness of proposed model, a comparative study was undertaken and was contrasted with T2DM prediction models developed by other researchers from last five years. Proposed model was validated over data collected from local hospitals and the benchmark PIMA dataset available on UCI repository. The study reveals that modified Mayfly-SVM has a considerable edge over metaheuristic optimization algorithms in local as well as global searching capabilities and has attained maximum test accuracy of 94.5% over PIMA.
Formalization of the prediction and ranking of software development life cycle models
Authors: Almazaydeh Laiali , Alsafasfeh Moath , Alsalameen Reyad , Alsharari Shoroq
Published: November 2021

The study of software engineering professional practices includes the use of the formal methodology in a software development. Identifying the appropriate methodology will not only reduce the failure of software but will also help to deliver the software in accordance with the predetermined budget and schedule. In literature, few works have been developed a tool for prediction of the most appropriate methodology for the specific software project. In this paper, a method for selecting an appropriate software development life cycle (SDLC) model based on a ranking manner from the highest to the lowest scoring is presented. The selection and ranking of appropriate SDLC elaborate the related SDLC’s critical factors, these factors are given different weights according to the SDLC, then these weights are used by the proposed mathematical method. The proposed approach has been extensively experimented on a dataset by software practitioners who are working in the software industry. Experimental results show that, the proposed method represents an applicable tool in predicting and ranking suitable SDLC models on various types of projects, such as: life-critical systems, commercial uses systems, and entertainment applications.
An assessment of cybersecurity awareness level among Northeastern University students in Nigeria
Authors: Garba Adamu Abdullahi , Siraj Maheyzah Muhamad , Othman Siti Hajar
Published: November 2021

The world economy today has adopted the internet as a medium of transactions, this has made many organizations use the internet for their daily activities. With this, there is an urgent need to have knowledge in cybersecurity and also how to defend critical assets. The objective of this paper is to identify the level of cybersecurity awareness of students in Northeastern Nigeria. A quantitative approach was used for data collection and cyberbully, personal information, internet banking, internet addiction, and Self-protection were the items ask for cybersecurity awareness level identification. Descriptive analysis was performed for initial result findings using SPSS and OriginPro for graphical design. the preliminary result shows of the students have some basic knowledge of cybersecurity in an item like internet banking, while other items like cyberbully, self-protection and, internet addiction result show moderate awareness, the students' participation based on gender, males constitute 77.1% i.e. (N=340) and females constitute 22.9% i.e. (N=101). Future research would concentrate on designing awareness programs that would increase the level of their awareness especially the students in the Northeastern part of Nigeria.
Comparative analysis of Dimensions and Scopus bibliographic data sources: an approach to university research productivity
Authors: Kulkanjanapiban Pachisa , Silwattananusarn Tipawan
Published: November 2021

This paper shows a significant comparison of two primary bibliographic data sources at the document level of Scopus and Dimensions. The emphasis is on the differences in their document coverage by institution level of aggregation. The main objective is to assess whether Dimensions offers at the institutional level good new possibilities for bibliometric analysis as at the global level. The results of a comparative study of the citation count profiles of articles published by faculty members of Prince of Songkla University (PSU) in Dimensions and Scopus from the year the databases first included PSU-authored papers (1970 and 1978, respectively) through the end of June 2020. Descriptive statistics and correlation analysis of 19,846 articles indexed in Dimensions and 13,577 indexed in Scopus. The main finding was that the number of citations received by Dimensions was highly correlated with citation counts in Scopus. Spearman’s correlation between citation counts in Dimensions and Scopus was a high and mighty relationship. The findings mainly affect Dimensions’ possibilities as instruments for carrying out bibliometric analysis of university members’ research productivity. University researchers can use Dimensions to retrieve information, and the design policies can be used to evaluate research using
scientific databases.
A hybrid of convolutional neural network and long short-term memory network approach to predictive maintenance
Authors: Nasser Ahmed , AL-Khazraji Huthaifa
Published: November 2021

Predictive maintenance (PdM) is a successful strategy used to reduce cost by minimizing the breakdown stoppages and production loss. The massive amount of data that results from the integration between the physical and digital systems of the production process makes it possible for deep learning (DL) algorithms to be applied and utilized for fault prediction and diagnosis. This paper presents a hybrid convolutional neural network based and long short-term memory network (CNN-LSTM) approach to a predictive maintenance problem. The proposed CNN-LSTM approach enhances the predictive accuracy and also reduces the complexity of the model. To evaluate the proposed model, two comparisons with regular LSTM and gradient boosting decision tree (GBDT) methods using a freely available dataset have been made. The PdM model based on CNN-LSTM method demonstrates better prediction accuracy compared to the regular LSTM, where the average F-Score increases form 93.34% in the case of regular LSTM to 97.48% for the proposed CNN-LSTM. Compared to the related works the proposed hybrid CNN-LSTM PdM approach achieved better results in term of accuracy.
Development of real-time indoor human tracking system using LoRa technology
Authors: Md Isa Ida Syafiza Binti , Hanani Anis
Published: November 2021

Industrial growth has increased the number of jobs hence increase the number of employees. Therefore, it is impossible to track the location of all employees in the same building at the same time as they are placed in a different department. In this work, a real-time indoor human tracking system is developed to determine the location of employees in a real-time implementation. In this work, the long-range (LoRa) technology is used as the communication medium to establish the communication between the tracker and the gateway in the developed system due to its low power with high coverage range besides requires low cost for deployment. The received signal strength indicator (RSSI) based positioning method is used to measure the power level at the receiver which is the gateway to determine the location of the employees. Different scenarios have been considered to evaluate the performance of the developed system in terms of precision and reliability. This includes the size of the area, the number of obstacles in the considered area, and the height of the tracker and the gateway. A real-time testbed implementation has been conducted to evaluate the performance of the developed system and the results show that the system has high precision and are reliable for all considered scenarios.
Sierpinski carpet fractal monopole antenna for ultra-wideband applications
Authors: Bharathraj Kumar Medhal , Jayappa Praveen
Published: November 2021

Microstrip antenna is broadly used in the modern communication system due to its significant features such as light weight, inexpensive, low profile, and ease of integration with radio frequency devices. The fractal shape is applied in antenna geometry to obtain the ultra-wideband antennas. In this paper, the sierpinski carpet fractal monopole antenna (SCFMA) is developed for base case, first iteration and second iteration to obtain the wideband based on its space filling and self-similar characteristics. The dimension of the monopole patch size is optimized to minimize the overall dimension of the fractal antenna. Moreover, the optimized planar structure is proposed using the microstrip line feed. The monopole antenna is mounted on the FR4 substrate with the thickness of 1.6 mm with loss tangent of 0.02 and relative permittivity of 4.4. The performance of this SCFMA is analyzed in terms of area, bandwidth, return loss, voltage standing wave ratio, radiation pattern and gain. The proposed fractal antenna achieves three different bandwidth ranges such as 2.6-4.0 GHz, 2.5-4.3 GHz and 2.4-4.4 GHz for base case, first and second iteration respectively. The proposed SCFMA is compared with existing fractal antennas to prove the efficiency of the SCFMA design. The area of the SCFMA is 25×20 mm2, which is less when compared to the existing fractal antennas.
IFSG: Intelligence agriculture crop-pest detection system using IoT automation system
Authors: Salehin Imrus , Noman S. M. , Ul-Islam Baki , Lopa Israt Jahan , Angon Prodipto Bishnu , Habiba Ummya , Moon Nazmun Nessa
Published: November 2021

The agricultural and technological combination is blessed for modern world life. Internet of things (IoT) is essential for comfort and development to our agriculture side. In our study, we detected the various pest using different types of sensors and this information has automatically sent to the farmer's mobile for the alert. All these sensors had a central database. Those sensors collect all the data and display the results compared to the central data. The High-image sensor will be able to detect all the rays emitted from the plant and another one is the gas sensor which is able to detect all the gases coming from the diseased plant. We mainly use sound sensor, MQ138, CMOSOV-7670, AMG-8833 for a better automation system. We test it with real-time environment conditions (40°C≤TA≤14°C). Crop pest detection automatic process is more efficient than the other detection process according to testing output. As a result, far-reaching changes in the agricultural sector are possible. To reduce extra cost and increasing more farming ability we need to IoT and Agriculture combinations more.
User identification system for inked fingerprint pattern based on central moments
Authors: Baker Esraa Jaffar , Alazawi Sundos Abdulameer , Ahmed Nada Thanoon , Arfian Ismail Mohd , Hassan Rohayanti , Halim Shahliza Abd , Sutikno Tole
Published: November 2021

The use of the fingerprint recognition has been and remains very important in many security applications and licensing systems. Fingerprint recognition is required in many areas such as licensing access to networks, corporate computers and organizations. In this paper, the system of fingerprint recognition that can be used in several cases of fingerprint such as being rounded at an angle by a randomly inked fingerprint on paper. So, fingerprint image is tooked at a different angle in order to identify the owner of the ink fingerprint. This method involves two working levels. The first one, the fingerprint pattern's shape features are calculated based on the central moments of each image being listed on a regular basis with three states rotation. Each image is rotated at a specified angle. In the second level, the fingerprint holder entered is identified using the previously extracted shape features and compared to the three local databases content of three rotation states. When applied the method for several persons by taken their inked fingerprint on the paper, the accuracy of the system in identifying the owner of the fingerprint after rotation states were close to 83.71.
High impedance fault detection in 11 kV overhead line with discrete wavelet transform and independent component analysis
Authors: Bhuiya Md Ferdouse Hossain , Hamdan Rohaiza , Soomro Dur Mohammad , Idris Abdelrehman Omer , Sharif Hussain
Published: November 2021

This paper proposes an analysis of high-impedance fault detection algorithms for medium voltage distribution lines based on the discrete wavelet transform (DWT) technique and a more advanced technique named independent component analysis (ICA) independently. Three-phase distribution line model and two diodes high impedance fault model, which represents the unsymmetrical fault current of electric arc, simulated using MATLAB/Simulink. High impedance fault (HIF) detection algorithm initially analyzes the sampled current waveforms through DWT and the resultant third level high-frequency components “d3” coefficients are analyzed through one cycle moving window approach. The proposed algorithm successfully detects any HIF in the distribution current even if there is a slight or no difference in the amplitude of the HIF and the waveform of the phase current. On the other hand, the ICA more developed algorithm than DWT successfully separated the noise signals from the obtained current waveforms and HIF noise signals can be differentiated with non-HIF noise signals. Because of this reason ICA is chosen in this research. The detected HIF current can be from 50 ma and up.
Power factor improvement for a three-phase system using reactive power compensation
Authors: Ali Majid , Rashid Faizan , Rasheed Saim
Published: November 2021

For all industrial and distribution sites, the lagging power factor of electrical loads is a common problem. In the early days, it was corrected manually by adding the capacitor banks of certain values in parallel. Automatic power factor correction (APFC) using a capacitor bank helps to make a power factor that is close to unity. It consists of a microcontroller that processes the value of the power factor to enable the system and monitor the power factor if it falls below (0.77) from the specified level. This paper presents the automatic correction of the power factor by adding the capacitors banks automatically of the desired value in a three-phase system in the form of binary coding (0-7). The main purpose of this system is to maintain the power factor as close as to unity, for the experimental case, it is set to (0.93) which helps to decreases the losses and ultimately increase the efficiency of the system.
Analysis of gallium nitride-based optical microring resonator with doped polymer grafting material
Authors: Haroon Hazura , Ramli Muhammad Syafiq , Idris Siti Khadijah , Zain Anis Suhaila Mohd , Razak Hanim Abdul , Anbalagan Thanigai
Published: November 2021

In this paper, the Gallium nitride-based optical microring resonator (OMR) filter with polymer grafting material (PMMA) coating was designed and optimized to predict its potential as a wavelength filtering device. The optimization was focused on the design parameters such as polymer thickness, gap separation variation, and the bus and ring waveguide widths. The target is to achieve the best output in terms of insertion loss (IL) and Extinction Ratio for wavelength-division multiplexing (WDM) applications, specifically for the use of the C-Band network. Upon completion, it was found that the optimized design was a ring radius of 10 μm and PMMA thickness of 0.055 μm, with the bus waveguide width of 800 nm and the output bus waveguide of 800 nm giving the observed IL of 0.07 dB and 87.3% extinction rate.
Proposed emerged and enhanced routing protocols for wireless networks
Authors: Kadhim Dheyaa Jasim , Mohammed Ali Abdulwahhab
Published: November 2021

The problem motivation of this work deals with how to control the network overhead and reduce the network latency that may cause many unwanted loops resulting from using standard routing. This work proposes three different wireless routing protocols which they are originally using some advantages for famous wireless ad-hoc routing protocols such as dynamic source routing (DSR), optimized link state routing (OLSR), destination sequenced distance vector (DSDV) and zone routing protocol (ZRP). The first proposed routing protocol is presented an enhanced destination sequenced distance vector (E-DSDV) routing protocol, while the second proposed routing protocol is designed based on using the advantages of DSDV and ZRP and we named it as DS-ZRP routing protocol. The third proposed routing protocol is designed based on using the advantaged of multipoint relays in OSLR protocol with the advantages of route cashing in DSR protocol, and we named it as OLS-DSR routing protocol. Then, some experimental tests are doing by demonstration case studies and the experimental results proved that our proposed routing protocols outperformed than current wireless routing protocols in terms of important network performance metrics such as periodical broadcast, network control overhead, bandwidth overhead, energy consumed and latency.
Energy‑harvesting and energy aware routing algorithm for heterogeneous energy WSNs
Authors: Saleh Mohammed Mehdi , Abdulrahman Ruslan Saad , Salman Aymen Jaber
Published: November 2021

Wireless sensor networks are regarded as the most essential components of contemporary technologies since they are in charge of sensing and monitoring processes, which are the primary functions of these technologies. Because these nodes rely on an unchangeable battery and are randomly deployed in the environment, node energy management is the most essential issue to consider when designing algorithms to enhance the network's life. Clustering is a wireless sensor network (WSN) routing technique that has been implemented in order to extend network lifetime. Also, it is trendy to increase the energy levels of the node battery by utilizing various energy harvesting techniques in order to extend the network lifetime. In this paper, a new energy-aware clustering algorithm (EHEARA) has been proposed. The proposed algorithm is based on a dynamic clustering function and adopts a solar energy harvesting scheme in order to improve network lifetime. Furthermore, the active-sleep mechanism was used to distribute node activity and balance communication among nodes within clusters and cluster heads with the base station. The proposed algorithm is simulated using matrix laboratory (MATLAB), and the results show that it outperforms the low energy adaptive clustering hierarchy (LEACH), distributed energy efficient clustering (DEEC), and stable election protocol (SEP) algorithms in terms of network lifetime, energy consumption, and network throughput.
An efficient data masking method for encrypted 3D mesh model
Authors: Malipatil Manikamma , Shubhangi D. C.
Published: November 2021

The industrial 3D mesh model (3DMM) plays a significant part in engineering and computer aided designing field. Thus, protecting copyright of 3DMM is one of the major research problems that require significant attention. Further, the industries started outsourcing its 3DMM to cloud computing (CC) environment. For preserving privacy, the 3DMM are encrypted and stored on cloud computing environment. Thus, building efficient data masking of encrypted 3DMM is considered to be efficient solution for masking information of 3DMM. First, using the secret key, the original 3DMM is encrypted. Second without procuring any prior information of original 3DMM it is conceivable mask information on encrypted 3D mesh models. Third, the original 3DMM are reconstructed by extracting masked information. The existing masking methods are not efficient in providing high information masking capacity in reversible manner and are not robust. For overcoming research issues, this work models an efficient data masking (EDM) method that is reversible nature. Experiment outcome shows the EDM for 3DMM attain better performance in terms of peak signal-to-noise ratio (PSNR) and root mean squared error (RMSE) over existing data masking methods. Thus, the EDM model brings good tradeoffs between achieving high data masking capacity with good reconstruction quality of 3DMM.
Em busca do materialismo perdido: a tese de doutorado de Karl Marx
Authors: Mota Paulo Henrique Pereira
Published: November 2021

Trata-se de elucidar a posição filosófica de Marx presente em sua tese de doutorado diante de um aspecto fundamental em seu pensamento: o materialismo dialético. Com isso, o presente artigo objetiva mostrar uma interpretação possívelsobre Marx ao dedicar sua tese de doutorado a um tema à primeira vista ínfimo do ponto de vista filosófico. Pois a tese não procura simplesmente se inserir no conjunto de obras de historiadores da filosofia, a fim de desmistificar determinados preconceitos dos pensadores sobre a visão entre Demócrito e Epicuro, mas pretende, antes, apreender o significado de um materialismo capaz de dar conta do déficit de liberdade muito exigido pelo idealismo vigente em sua época. Para tanto, nos concentraremos na sua obra Diferença entre as filosofias da natureza em Demócritoe Epicuro, a fim de compreender mais detidamente as razões de Marx extrair certas conclusões na análise entre os dois filósofos, expondo seus argumentos, passando pelo contexto histórico de sua época.
Trabalho, experiência de classe e historiografia marxista: entrevista com Bryan D. Palmer
Authors: Parisi Mauricio Orestes , Purdy Robert Sean
Published: November 2021

Bryan D. Palmer (1951) é um historiador canadense destacado por seus estudos no campo de História Social, em especial no que diz respeito à história do movimento operário e da experiência social das classes trabalhadoras ao longo do século XX. Professor da Trent University, também é reconhecido por seu engajamento político e por suas intervenções nos debates teóricos e metodológicos do marxismo. É autor, dentre outros trabalhos, dos livros “A Culture in Conflict” (1979), “Descent into Discourse” (1990), “E. P. Thompson: objections and oppositions” (1994), “Canada's 1960s: the ironies of identity in a rebellious era” (2008) e “Marxism and Historical Practice” (2015).
O passado contado pelas estrelas: astrociência, o cosmo, e a história zoroastrista na corte Samânida
Authors: Reghin Santiago Colombo
Published: November 2021

O presente artigo investiga um longo processo de formação das astrociências greco-babilônicas e sua difusão (A), isso com o objetivo de ver como o Zoroastrismo tardio integra tal sistema dentro de sua cosmologia (B) para tratar dos embates de seu tempo, envolvidos em uma esfera de diálogo com outras culturas (C). Para tal as principais fontes utilizadas foram o Bundahishn (para B) e o Denkard (para C), esperando com elas e a devida contextualização perceber a complexidade de seu meio de produção, a corte Samânida durante os séculos IX e X.
Richard Wagner: a participação do músico no antissemitismo alemão do século XIX (1850-1873)
Authors: Teixeira Rubens de Brito Ferreira
Published: November 2021

O artigo examina o ensaio O judaísmo na música, de Richard Wagner, publicado primeiramente em 1850, cujos focos foram o antissemitismo e os jogos de poder no campo da música de concerto alimentados pela obra. A fim de realizar tal empreendimento, precisou-se situar o músico e seu texto dentro de um campo artístico moderno relativamente autônomo e sua íntima relação com o contexto político da unificação alemã, bem como ao delicado processo de emancipação judaico concomitante ao acirramento do ódio ao Povo Eleito. Portanto, ao ressaltar historicamente a forma e o conteúdo do ensaio, constatou-se que Richard Wagner foi mais um artista e escritor que fez de sua obra uma arma política em defesa da nação alemã e em favor do antissemitismo. Um dos pontos relevantes deste último é que seus concorrentes mencionados no ensaio eram artistas românticos e judeus. Os ataques culturais e políticos aos rivais evidenciaram que os posicionamentos wagnerianos de modo algum foram uniformes ou homogêneos.
Por uma história social dos trabalhadores do mar: questões lançadas às listas de matrículas de tripulações mercantes em Portugal e seus domínios (1807-1808)
Authors: Ferreira Isabella Rocha , Rodrigues Jaime , Costa Bárbara Regina Silva , Oliveira Beatriz Anselmo de , Paulini Beatriz Bertolli , Pilon Bruna Macedo , Sousa Daniel Gimene Liossi de , Somensari Daniele de Souza , Banin Júnior Fábio Rogério , Neves Fernanda Dias , Santos Giovanna Antonelli , Carmona Juliana dos Santos , Cavalcante Juliane , Charleaux Laís Aparecida , Silva Maiara Puk Goes da , Silva Thainá Renata Lopes da , Ribeiro Vitória
Published: November 2021

Em uma publicação recente, transcrevemos um conjunto significativo de listas de matrículas da marinha mercante lusa para os anos de 1807 e 1808, documentação sob a custódia do Arquivo Nacional da Torre do Tombo. Além da transcrição, o artigo apresentou a fonte e suas potencialidades e elencou diversas indagações que, na perspectiva da história social, podem ter respostas ensaiadas a partir da consulta a essas fontes seriais. Nossa intenção, agora, é apresentar algumas reflexões que permitam avançar na resposta a essas mesmas questões, como por quê os estudos sobre a demografia de Portugal no século XVIII estão atrelados ao contingente de trabalhadores marítimos ofertado ao mar no período de nosso recorte, entre outras possibilidades apresentadas pela fonte.
Pandemics and Post-Pandemic Times
Authors: Sönmez Hakan
Published: November 2021

This essay investigates some of the major pandemics in human history and scrutinizes their sociological, economic, and political pay-offs. To what extent can pandemics transform our society? How do the pandemics in history relate to the current? The Plague of Athens caused disappointment towards Greek gods since the Athenians felt they were not getting enough support from Apollo. The Plague of Justinian brought revolts across the empire and led to the end of Classical Antiquity. The Black Death changed the future vision of Europeans significantly because death was omnipresent. Although the death toll of cholera pandemic was limited, it triggered stigmatization, violence, and racism towards Asian people, especially to Indians. The Spanish conquistador Hernán Cortés would never have been able to colonize the Aztec civilization without the smallpox outbreak. After an episode of absurdism and Dadaism, the Spanish flu brought the Roaring Twenties with widespread use of radio, dance-halls, jazz, Harlem Renaissance, gay and lesbian scenes, and women’s suffrage. Coronavirus pandemic shows that society is digitizing at light speed among the art world. This essay also shows that our economy is a positive-sum economy in contrast to the zero-sum economy in times of the Black Death and before. There is also a delicate balance that must be maintained between keeping the pandemic under control and respecting the democratic principles. The essay concludes that each pandemic has an idiosyncratic nature and a pandemic can have different effects in different societies or regions in the world.
“A universidade ainda está aberta?”: o que diz a comunidade do entorno sobre a Universidade Federal do Pampa
Authors: Silva Isadora Cabreira da
Published: November 2021

O presente trabalho trata-se de uma pesquisa de campo produzida no município de Jaguarão/RS sobre as visões da comunidade em relação à Universidade Federal do Pampa – Campus Jaguarão. Assim, desenvolveu-se um estudo de caso, durante o ano de 2018, nos bairros periféricos que estão no entorno da universidade. Através de um questionário foram alcançados sessenta e seis sujeitos de pesquisa. Com estes, após a coleta, foi produzida uma análise de dados que nos sugere o tipo de relação que essa comunidade possui com a universidade. Os dados indicam que, apesar do impacto positivo da instituição, sendo considerada mais um elemento para o acesso ao Ensino Superior dessa população, ainda existem desafios que por ora obstaculizam o acesso à universidade, como a realidade fronteiriça de índices de formação baixos, conectados a um imaginário que afasta parte dessas pessoas do meio acadêmico que foi criado com o objetivo principal de alcançar essas populações.
Deber moral y economía en las teodiceas de Leibniz y Malebranche
Authors: Velasco Carlos
Published: November 2021

El artículo realiza un acercamiento a las teodiceas de Leibniz y de Malebranche centrándose en los conceptos de “deber moral” y “economía”. A partir de aquí se calibran los términos bajo los cuales ambos filósofos entienden la libertad divina, así como la cantidad de bien que debe derivarse de la racionalidad a la que Dios se somete cuando crea el mundo. El modelo leibniciano será estudiado a la luz de los retos que, desde perspectivas polarizadas, plantearon autores como Hobbes y Spinoza a la disyunción entre la absoluta trascendencia de Dios a su creación y la subsunción de la divinidad a prescripciones lógico-metafísicas. Se destaca que el rigor conceptual de Malebranche y la esencia económica que postula para la divinidad se concilian con una concepción filosófica e histórica netamente cristiana en la que la racionalidad pura se remite a fundamentos teológicos.
PACHECO, João Alves. Políticas de acesso à Educação Superior no Brasil: contradições da expansão nos Governos Lula. Marília: Lutas Anticapital, 2019. 315 p.
Authors: Barchi Rodrigo
Published: November 2021

Resenha do livro PACHECO, João Alves. Políticas de acesso à Educação Superior no Brasil: contradições da expansão nos Governos Lula. Marília: Lutas Anticapital, 2019. 315 p.
O tempo histórico em nós: entrevista com Gary Urton
Authors: Angelus Novus Revista
Published: November 2021

Gary Urton (1946) es Profesor de Estudios Pre-Colombinos en Harvard University y reconocidamente uno de los más importantes estudiosos del fenómeno y lenguaje de los khipus – los soportes textuales en hilos y nudos utilizados en el antiguo mundo andino. Historiador de formación (New Mexico University, 1969), ha realizado su PhD en el campo de la Antropología (University of Illinois Urbana-Champaign, 1979). Es autor de una vasta producción bibliográfica, de la cual se destacan los libros “The Social Life of Numbers” (1997), “Signs of the Inka Khipu” (2003) e “Inka History in Knots: Reading Khipus as Primary sources” (2017). Por ocasión de una estancia de investigación en el Archivo General de las Indias (AGI-Sevilla), ha aceptado generosamente conceder la presente entrevista a la Revista Angelus Novus.
Angiotensin II Type 1 Receptor Tachyphylaxis Is Defined by Agonist Residence Time
Authors: Duarte Diego A. , Parreiras-e-Silva Lucas T. , Oliveira Eduardo B. , Bouvier Michel , Costa-Neto Claudio M.
Published: November 2021

Several GPCRs (G-protein–coupled receptors) have been reported to exhibit tachyphylaxis, which is an acute loss of functional receptor response after repeated stimuli with an agonist. GPCRs are important clinical targets for a wide range of disorders. Therefore, elucidation of the ligand features that contribute to receptor tachyphylaxis and signaling events underlying this phenomenon is important for drug discovery and development. In this study, we examined the role of ligand-binding kinetics in the tachyphylaxis of AT
1
R (angiotensin II type 1 receptor) using bioluminescence resonance energy transfer assays to monitor signaling events under both kinetic and equilibrium conditions. We investigated AT
1
R signal transduction and translocation promoted by the endogenous tachyphylactic agonist Ang II (angiotensin II) and its analogs, described previously for inducing reduced receptor tachyphylaxis. Estimation of binding kinetic parameters of the ligands revealed that the residence time of Ang II was higher than that of the analogs, resulting in more sustained G
q
protein activation and recruitment of β-arrestin than that promoted by the analogs. Furthermore, we observed that Ang II led to more sustained internalization of the receptor, thereby retarding its recycling to the plasma membrane and preventing further receptor responses. These results show that the apparent lack of tachyphylaxis in the studied analogs resulted from their short residence time at the AT
1
R. In addition, our data highlight the relevance of complete characterization of novel GPCR drug candidates, taking into account their receptor binding kinetics as well.
Sialic Acid Activated Gold Nanoparticles as Rapid Affordable Reagent for Peste Des Petits Ruminants (PPR) Virus Detection
Authors: Saxena Shikha , Kumar Gupta Shishir , Kumar Satish
Published: November 2021

Animal health issues are important for farming community in agriculture. Small ruminant populations such as goats and sheep often get affected with contagious diseases. Peste des petits ruminants caused by a virus which need to be detected quickly to isolate affected animals and stop
the spread of disease. The H protein of Peste des petits ruminants virus has sialic acid specific receptor, therefore sialic acid reduce and stabilized gold-nanoparticles were synthesize by a simple one pot method and without chemically modifying the sialic acid. The gold nanoparticles showed
targetspecific aggregation with viral particles via hemagglutinin-sialic acid binding. The PPR virus was readily detected at the dilution of 10−6 by sialic acid-AuNPs. While comparing with the standard monoclonal antibody based test used for the detection of Peste des petits
ruminants virus, sialic acid-AuNPs gave detection faster in less than 2 minute.
Utilization of Agricultural Waste from Paddy (Rice) Fields for the Synthesis of Nanocellulose
Authors: Kaur Mandeep , Sharma Praveen , Kumari Santosh
Published: November 2021

Nanotechnology is an interdisciplinary science with multifold applications in various fields. Nanocellulose is an emerging sustainable material possessing marvellous features. It has broad range of prospects in several research areas especially in agriculture sector. This study aims
at utilization of agricultural waste of rice (Oryza sativa) from paddy fields viz. rice husk and rice stem into novel commodities i.e., cellulose nanofibres and cellulose nanocrystals. Chemo-mechanical treatment was adopted for successful extraction of cellulose nanofibres from rice
stem and cellulose nanocrystals from rice husk. Morphological investigations were accomplished by different microscopic techniques such as atomic force microscopy, scanning electron microscopy and transmission electron microscopy. Fourier transform infrared spectroscopy was employed for identification
of attached functional groups. X-ray diffraction study revealed the crystallinity of the synthesized nanocellulose. Thermogravimetric analysis showed the decomposition and degradation of obtained cellulose nanofibres and cellulose nanocrystals. Transmission electron microscopy depicted 50
nm diameter range of cellulose nanofibres of rice stem and atomic force microscopy illustrated 76.77 nm diameter of cellulose nanocrystals of rice husk.
Nano-Based Fertilizers and Pesticides: For Precision and Sustainable Agriculture
Authors: Sihag Sweety , Punia Himani , Baloda Satpal , Singal Manjjri , Tokas Jayanti
Published: November 2021

Humanity depends (directly or indirectly) exclusively on agriculture for their survival. Due to the exponential growth in population, it is imperative to use new scientific tools and technologies such as nanotechnology in agriculture. The objective of this review is to provide an overview
of the use of nanomaterials (NMs) and nanoparticles (NPs) in form of nanofertilizers (NFs) to enhance plant nourishment, reflecting their potential benefits and possible uses, and also assessing their potential impact on ecosystem. NFs possess an alternative approach as compared to biofertilizers,
biopesticides and organic fertilizers that started from green revolution. NFs affect crop’s nutritional quality and stress tolerance in plants. There are both pons and cons of NPs and NMs when used in agriculture. These studies are necessary because NPs and NMs can be transferred to
ecosystems by various pathways where they can cause toxicity to organisms, affecting the biodiversity and abundance of such ecosystems, and may ultimately even be transferred to consumers. The progress in the crop improvement processes such as implementation of nanodevices for genetic manipulation
of plants depends on advanced techniques used in nanotechnology.
Effective Chemical Vapor Deposition and Characterization of N-Doped Graphene for High Electrochemical Performance
Authors: Mahalingam Shanmugam , Durai Mani , Sengottaiyan Chinnasamy , Ahn Young-Ho
Published: November 2021

Here we reports an effective synthetic method for the preparation of N-graphene upon thermal annealing of prepared graphene oxide in the existence of ammonia. N-doped graphene oxide was analysed using different characterization techniques like X-ray diffraction, field emission scanning
electron microscopy, high resolution transmission electron microscopy, Fourier transform infrared spectroscopy and Raman spectroscopy. The nitrogen atom showed good binding with the graphene sheets, that are analysed by the X-ray photoelectron spectroscopy. The synthesized N-graphene have
shown higher thermal stability compared with GO and graphene. The elcerochemnical performance like Cyclic voltammetry as well chronopotentiometry charge–discharge calculations revealed that the N-doped graphene exhibits remarkable behaviour favors a specific capacitance value about 209
F g−1 at 5 mV s−1 and 270 F g−1 for 1 A g−1 applied current density including outsanding charge–discharge stability about 98% of the initial capacitance subsequent 1000 cycles at 5 A g−1. The N-content
in the graphene material with the optimized reaction parameters potentially improved electrode active material for energy storage applications.
Forza emozionale? National discourse and La Battaglia di Legnano
Authors: Broughton Conor
Published: November 2021

This article will suggest how the audience interpreted the music and messages held within Verdi's La Battaglia di Legnano and suggest how far the sentiment within the opera was understood, in turn asking how effective a canone of nationalist images within culture would have been. The use of musical psychological and philosophical studies – such as those by Peter Kivy and Anthony Storr, among others – will offer an insight into the effect of music on the mind, and suggest how music affects the audience.
Public-Sector Unions as Equalizing Institutions: Race, Gender, and Earnings
Authors: Kerrissey Jasmine , Meyers Nathan
Published: November 2021

This research demonstrates that the union wage premium is higher for Black and women workers in the US public sector, what we refer to as “an intersectional union premium.” Union mechanisms reinforce and expand the more equitable practices of the public sector, resulting in this additional boost. Using Current Population Survey data, 1983–2018, this research models intersectional effects on earnings by examining interactions between union membership and race–gender. Relative to White men, union membership boosts average earnings an additional 3% for Black men and Black women, and 2% for White women on top of the direct union premium. Corollary analyses reaffirm these effects in multiple state contexts, including by union density and union coverage. Intersectional union premiums are weaker in states that prohibit collective bargaining. These premiums are present across most types of public work, with the exception of police and fire employees. To conclude, the authors discuss how changing labor policies may impact race and gender equity in the public sector.
Marcuse Today: An Introduction
Authors: Kellner Douglas , Winter Rainer
Published: November 2021

This contribution serves as an invitation to a renewed exploration of Herbert Marcuse’s critical theory. It discloses his continued relevance for critical social theory and politics in the contemporary moment and why Marcuse should not be condemned to the dustbin of history but should be appropriated and developed in our contemporary conditions in which crises are multiplying.
Ursula Le Guin’s Speculative Anthropology: Thick Description, Historicity and Science Fiction
Authors: Davison-Vecchione Daniel , Seeger Sean
Published: November 2021

This article argues that Ursula Le Guin’s science fiction is a form of ‘speculative anthropology’ that reconciles thick description and historicity. Like Clifford Geertz’s ethnographic writings, Le Guin’s science fiction utilises thick description to place the reader within unfamiliar social worlds rendered with extraordinary phenomenological fluency. At the same time, by incorporating social antagonisms, cultural contestation, and historical contingency, Le Guin never allows thick description to neutralise historicity. Rather, by combining the two and exploring their interplay, Le Guin establishes a critical relation between her imagined worlds and the reader’s own historical moment. This enables her to both counter Fredric Jameson’s influential criticism of her work – the charge of ‘world reduction’ – and point to ungrasped utopian possibilities within the present. Le Guin’s speculative anthropology thus combines the strengths while overcoming some of the limitations of both Geertz’s thick-descriptive method and Jameson’s theory of the science fiction genre.
A Game Theoretic Analysis of Competition Between Vaccine and Drug Companies during Disease Contraction and Recovery
Authors: Hausken Kjell , Ncube Mthuli
Published: November 2021

Background

Infectious diseases such as COVID-19 and HIV/AIDS are behaviorally challenging for persons, vaccine and drug companies, and donors.

Methods

In 3 linked games in which a disease may or may not be contracted, [Formula: see text] persons choose risky or safe behavior (game 1). Two vaccine companies (game 2) and 2 drug companies (game 3) choose whether to develop vaccines and drugs. Each person chooses whether to buy 1 vaccine (if no disease contraction) or 1 drug (if disease contraction). A donor subsidizes vaccine and drug developments and purchases. Nature probabilistically chooses disease contraction, recovery versus death with and without each drug, and whether vaccines and drugs are developed successfully. COVID-19 data are used for parameter estimation.

Results

Each person chooses risky behavior if its utility outweighs safe behavior, accounting for nature’s probability of disease contraction which depends on how many are vaccinated. Each person buys a vaccine or drug if the companies produce them and if their utilities (accounting for side effects and virus mutation) outweigh the costs, which may be subsidized by a sponsor.

Discussion

Drug purchases depend on nature’s recovery probability exceeding the probability in the absence of a drug. Each company develops and produces a vaccine or drug if nature’s probability of successful development is high, if sufficiently many persons buy the vaccine or drug at a sales price that sufficiently exceeds the production price, and if the donor sponsors.

Conclusion

Accounting for all players’ interlinked decisions allowing 14 outcomes, which is challenging without a game theoretic analysis, the donor maximizes all persons’ expected utilities at the societal level to adjust how persons’ purchases and the companies’ development and production are subsidized.

Highlights

A game theoretic approach can help explain the production decisions of vaccine and drug companies, and the decisions of persons and a donor, impacted by Nature. In 3 linked games, N persons choose risky behavior if its utility outweighs safe behavior. Vaccine and drug companies develop vaccines and drugs sponsored by a donor if profitable, allowing 14 outcomes.
P-element Induced WImpy protein-like RNA-mediated gene silencing 2 regulates tumor cell progression, apoptosis, and metastasis in oral squamous cell carcinoma
Authors: Zhou Sen , Yang Song , Li Fang , Hou Jingying , Chang Hong
Published: November 2021

Objective

P-element Induced WImpy protein-like RNA-mediated gene silencing 2 (PIWIL2) is a reported oncogene strongly associated with tumorigenesis and cancer progression. However, the potential function of PIWIL2 in oral cancer is still largely unclear.

Methods

In this study, we investigated the clinical significance of PIWIL2 expression in human oral squamous cell carcinoma (OSCC) cell lines and tissues. We also examined its function in OSCC pathogenesis by knocking down PIWIL2 expression with short hairpin RNAs, followed by phenotypic experiments focused on cell migration, invasion, proliferation, and apoptosis rates.

Results

We found that PIWIL2 was overexpressed in OSCC cell lines and tissues and significantly correlated with the malignancy stage. Furthermore, knockdown of PIWIL2 in a human OSCC cell line Tca8113 induced cell cycle arrest and apoptosis. Silencing PIWIL2 expression also significantly suppressed the migration and invasion abilities of Tca8113 cells.

Conclusions

Collectively, our results suggest a functional role of PIWIL2 in regulating OSCC pathogenesis. Our data imply that PIWIL2 could serve as a potential therapeutic target for OSCC treatment.
Evaluation of the risk factors for antepartum hemorrhage in cases of placenta previa: a retrospective cohort study
Authors: Kuribayashi Momoko , Tsuda Hiroyuki , Ito Yumiko , Tezuka Atsuko , Ando Tomoko , Tamakoshi Koji , Mizuno Kimio
Published: November 2021

Objective

The aim of this study was to examine the risk factors for antepartum hemorrhage (APH) in women with placenta previa.

Methods

In this retrospective cohort study, we analyzed the medical records of 233 women with singleton pregnancies presenting with placenta previa whose deliveries were performed at our hospital between January 2009 and July 2018.

Results

Of the 233 women included in this study, 130 (55.8%) had APH. In the APH group, the gestational age and neonatal birth weight were significantly lower compared with the no hemorrhage group. Maternal age <30 years and multiparity were identified as significant risk factors for APH in both the univariate and multivariate analyses. Focusing on the previous route of delivery in multiparous women, the risk of APH was significantly higher in multiparous women who had experienced at least one vaginal delivery compared with nulliparous women (adjusted odds ratio (OR): 3.42 [95% confidence interval: 1.83–6.38]).

Conclusion

We showed that women with placenta previa who were under 30 years old and who had a history of vaginal delivery may be at significant risk of experiencing APH.
When diversity becomes a resource: Managing alterity and everyday cosmopolitanisms in Carlo Pisacane, a primary school in Rome
Authors: Cacciotti Chiara
Published: November 2021

The paper addresses the ways in which the negative social connotation associated with a majority of foreigners in an Italian primary school (Carlo Pisacane, Rome) was first ‘ethnicized’ in numerical terms, and subsequently politically transformed into an issue of national identity. The purpose of this paper is then to show Pisacane’s attempts to transform itself from a school of immigrants into a cosmopolitan space and, to some extent, how it is unintentionally transforming itself into a cosmopolitan enclave. The proposal is therefore to rethink to Pisacane as a cosmopolitan enclave within which different forms of everyday cosmopolitanisms have the opportunity to grow and develop, together with some paradoxes and unintentional practices of exclusion. In the attempt to eradicate the opposition between being cosmopolitan and being parochial, the suggestion is to rethink to cosmopolitanism no longer as a typical phenomenon of Western “rootless” elites but rather as situated.