bluuebunny/crossref_metadata_2025 huggingface dataset:
Geografia, Patrimônio e Turismo na Amazônia Brasileira: o Projeto Roteiros Geo-Turísticos em Belém do Pará
Authors: Tavares Maria Goretti da Costa
Published: April 2022

A formação do patrimônio da cidade revela-se, então, como síntese da história e geografia do lugar, mostrando diversas formas de apropriação do espaço. Por revelar uma oportunidade de se explorar as informações históricas por meio dos acontecimentos e edificações ao longo do tempo, a Universidade Federal do Pará, por meio da Faculdade de Geografia da Universidade Federal do Para, especificamente, o Grupo de Estudos de Pesquisa em Geografia do Turismo (GGEOTUR) lançou, em 12 de janeiro de 2011, o projeto “Roteiros Geo-turísticos: conhecendo o patrimônio cultural em Belém do Pará”. O projeto nasceu como uma atividade de extensão universitária, criada com o intuito de apresentar à comunidade científica, à sociedade local e aos turistas algo que difere de um roteiro turístico convencional, buscando aliar conhecimentos históricos, arquitetônicos, culturais e geográficos. Ele insere locais que não têm sido incluídos frequentemente nos passeios comercializados, espaços nos quais é nítida a carência de ações do poder público, principalmente no que se refere à limpeza e segurança, ao contrário do que ocorre em certos espaços restaurados e refuncionalizados. A intenção é dotar a sociedade de conhecimento patrimonial acerca da cidade de Belém, pouco revelado em ações dos poderes públicos em geral. O projeto objetiva desenvolver conhecimentos e fundamentos teóricos e práticos para elaboração de roteiros geo-turísticos, tomando como base a formação histórica e espacial na cidade de Belém. Reconstituir e valorizar a memória sócio-espacial e patrimonial da cidade, a partir dos atores sociais que ali vivem. Propõe-se também a apresentar os roteiros geo-turísticos à sociedade e ao poder público como uma das perspectivas de atividades econômicas voltadas para o desenvolvimento local. Nesse artigo apresenta-se a concepção, metodologia e impactos do projeto na cidade de Belém do Pará.
Former en géographie en Anthropocène : le pari d’une expérience de « repolitisation »
Authors: Joublot-Ferré Sylvie
Published: April 2022

En Anthropocène, quelles stratégies sont à développer pour favoriser la formation de citoyen.e.s autonomes et capables de participer aux décisions publiques ? L’article présente un dispositif spécifique, expérimenté en formation initiale d’enseignant.e.s, à la Haute École pédagogique de Lausanne, en Suisse romande. Ce dispositif articule enquête et expérience spatiale, au sein d’une démarche sensible et participative. Cette proposition didactique est évaluée, du point de vue de sa capacité à répondre aux attentes sociétales de « politisation » de l’enseignement en sciences sociales, notamment en géographie. Les enjeux épistémologiques mais également scolaires et didactiques, sont rappelés. La géographie de l’habiter est particulièrement mobilisée. L’analyse du dispositif, au prisme des apprentissages citoyen et politique, est appuyée par plusieurs références : la légitimation de l’éducation politique en Anthropocène, la pensée critique, la capacitation et l’expérience.
Potentialités et limites des curricula de SVT : quelles contributions des questions environnementales pour une éducation au politique ?
Authors: Delplancke Malou , Chalak Hanaà
Published: April 2022

L’enjeu central de cet article est de caractériser les conditions d’une éducation scientifique qui permette de prendre en charge la double dimension politique et scientifique des questions environnementales (QE). Notre réflexion porte sur une analyse des curricula, portés par les nouveaux programmes et les manuels scolaires de SVT et d’Enseignement Scientifique, spécifiquement sur les thématiques environnementales. Nos analyses montrent que la manière dont les QE sont traitées privilégie la technologie comme source de solutions aux problèmes humains, participe d’une conception positiviste de la science, et relève d’une approche anthropocentrée. Les programmes et manuels transmettent implicitement un rapport au monde très ancré dans le paradigme de la modernité. Nous discutons des leviers possibles pour re-politiser ces questions en classe, au moyen de leur (re)problématisation dans un contexte d’instabilité des savoirs, de problèmes complexes flous pour contribuer à une éducation citoyenne, à même de répondre aux enjeux de l’anthropocène.
COVID-19 Lesion Segmentation and Classification of Lung CTs Using GMM-Based Hidden Markov Random Field and ResNet 18
Authors: Gupta Rajeev Kumar , Gautam Pranav , Pateriya Rajesh Kumar , Verma Priyanka , Sahu Yatendra
Published: April 2022

COVID-19 has been circulating around the world for over a year, causing a severe pandemic in every country, affecting billions of people. One of the most extensively utilized diagnostic methodologies for diagnosing and detecting the presence of the COVID-19 virus is reverse transcription-polymerase chain reaction (RT-PCR). Various ideas have been proposed for the detection of COVID-19 using medical imaging. CT or computed tomography is one of the beneficial technologies for diagnosing COVID-19 patients, the need for screening of positive patients is an essential task to prevent the spread of the disease. Segmentation of Lung CT is the initial step to segment the infection caused by the virus in the lungs and to analyze the lungs CT. This article introduces a novel Hidden Markov Random Field based on Gaussian Mix Model (GMM-HMRF) method ensembled with the modified ResNet18 deep architecture for binary classification. The proposed architecture performed well in terms of accuracy, sensitivity, and specificity and achieved 86.1%, 86.77%, and 85.45%, respectively.
An Integrated Machine Learning Framework for Fraud Detection
Authors: Ouazzane Karim , Polykarpou Thekla , Patel Yogesh , Li Jun
Published: April 2022

The research develops a practical Machine Learning framework with a comparative and comprehensive approach to sequence-learn and then detect the online banking payment fraud. The integrated framework introduces exploratory analysis and feature engineering, multiple modelling and performance comparison, and model robustness, uncertainty and sensitivity analysis toward a systematic approach for Machine Learning applications. For demonstration purpose, the framework is implemented on a set of real-life online banking transaction datasets obtained from a UK-based bank through three models, i.e., Support Vector Machine, Markov Model and LSTM model, with various combinational features of the datasets evidenced in the exploratory analysis and modelling with noise ratios of datasets, range values of model parameters and confidence intervals of prediction results. The modelling results show that overall, the LSTM model achieves the best performance, with outcome accuracy of 97.7%, indicating its advantage in modelling sequential data such as customer behaviours.
Directions for Developing National Cyberworld Strategies
Authors: Bakry Saad Haj , Al-Saud Bandar , Bakry Zeyad Haj
Published: April 2022

The cyberworld is becoming of increasing importance, as its technologies are rapidly progressing and as its useful services are widely expanding. In response, ambitious countries need to establish their own cyberworld strategic directions to maintain an active role in this world. This paper is concerned with developing generic structured national strategic directions for the cyberworld. For this purpose, the paper reviews key sources on the matter, and develop the targeted directions for the future. The key sources considered are associated with the international level, and they include the UN and ITU; the national level, and they include the USA and Germany; and the people’s level, involving people’s requirements and responsibilities. The views were structured according to the five domains of “strategy, technology, organization, people, and the environment: STOPE”. Within these five domains, 18 issues were identified, and subsequently they were refined into 59 cyberworld strategic directions. It is hoped that the outcome would be useful to researchers and planners in the field.
A Performance Improvement Model for Cloud Computing Using Simulated Annealing Algorithm
Authors: Singh Geeta , Kumar Santosh , Prakash Shiva
Published: April 2022

Cloud system has emerged as a fast computing technology wherein it delivers its services to users with minimum cost and time. The number of cloud users are also increasing too fast. With this increased number of users, there is a need of efficient algorithms which would be able to maximize the resource utilization, scheduling jobs in optimal manner leading to maximum profit and improved overall cloud performance. Research trends show that meta-heuristic optimization algorithms have been successfully applied to enhance the performance of cloud system. In this research, a simulated annealing based concept has been applied for job scheduling with the aim of minimizing the overall execution time of a job schedule selected from the job pool and balancing the loads in the available virtual machines. The algorithm has been simulated in CloudSim environment and it has been seen that it provides non-dominance optimal solution and is able to achieve reduced execution time of job schedule in comparison to other existing algorithms like FCFS, min-min algorithm and RR and Iterative Improvement.
Finding Optimal Transport Route and Retail Outlet Location Using Mobile Phone Location Data
Authors: Maji Giridhar , Sen Soumya
Published: April 2022

People are leaving their digital footprint everywhere as they move from one cell tower coverage to another in terms of Call Detail Records (CDR). This huge and variant data can be analyzed to find interesting human mobility patterns for socio-economic development and allow a city administrator to understand the daily commuting patterns of the city dwellers in almost real-time. This paper proposes the techniques and algorithms that use these data to identify (i) optimal transport routes in a city; (ii) Business viable retail outlet location in a city. The aggregated information has been modeled as a network, and graph-theoretic approaches are used to derive a feasible solution. The main advantage of this work is that CDR provides low cost, real-time, noise-free data that captures the evolving dynamics of the movement patterns, and hence any decision taken based on this will be apt and prompt.The only limitation of this study is the unavailability of raw CDR data due to the confidentiality issue for experimental proof of the proposed methods on a real city topology.
Robust Feature Selection Using Rough Set-Based Ant-Lion Optimizer for Data Classification
Authors: Azar Ahmad Taher , Banu P. K. Nizar
Published: April 2022

The selection of an algorithm to tackle a certain problem is a vital undertaking that necessitates both time and knowledge. Non-functional needs, such as the size, quality, and nature of the data, must frequently be taken into account. To develop a generalized machine learning model for any domain, the most relevant features must be chosen because noisy and irrelevant characteristics degrade data mining performance. However, the selection of the dominating features is still dependent on the search technique. When there are a high number of input features, stochastic optimization can be applied to the search space. In this research, we investigate the Ant Lion Optimization (ALO), a nature-inspired algorithm that mimics the hunting process of ant lions and is further stimulated to identify the smallest reducts. We also investigate Rough Set based ant lion optimizer for feature selection. The actual results reveal that the antlion-based rough set reduct selects a better feature subset and classifies them more accurately.
Impact of High-Tech Industries Over Time
Authors: Yeo Benjamin
Published: April 2022

Macro level research shows that the impact of technology varies. On a micro level, strategic technology priorities of businesses have changed over time, translating to different macro level impact. In this study, the objective is to investigate trends of the economic impact of high-tech industries over time, thereby addressing the variations in high-tech impact. Through an analysis of extensive time series regional economic data on U.S. metropolitan regions, the results show that high-tech industries began to influence regional economic performance at the turn of the millennium, escalating in importance before a decline. The study provides explanations and has implications for theory, policy, and strategic management.
A Multi-Criteria Allocation Strategy for Provisioning Cloud Resources
Authors: Zarour Karim , Benmerzoug Djamel
Published: April 2022

The adoption of the Business Process outsourcing strategy has been accentuated with the advent of Cloud computing that brings a new model for consuming and paying resources. Nevertheless, companies hesitate between a high distribution allowing to combine several Cloud offers adapted for process fragments and guarantee a good level of obfuscation or a weak distribution to minimize the data transfer which is charged by most suppliers and which may slow down the execution of processes. Hence, this paper proposes a novel selection method based on a heuristic algorithm that aims to find the right balance by optimizing the cost and performance while ensuring the protection of outsourced processes. To this end, several criteria are considered such as data transfer, task separation constraints and tolerated delay margins. The results obtained through a case study and comparisons with other selection methods show that the configurations selected by the algorithm meet companies’ requirements and are at the same time inexpensive, efficient and secure.
Sentence Extraction Using Machine Learning Algorithms for Bug Reports
Authors: Gupta Som , Gupta Sanjai Kumar
Published: April 2022

Automatic Summarization is one of the very important tasks that are performed to improve the searching experience in the internet world. Software Repositories are one of the greatest sources of information for the software development community as it contains varied information like the team behavior, intentions, emotions, the bugs, the project style, project management information, etc. The paper is an extension to the previous work where we have used just the feature-based technique to generate the summary for the Bug Reports. Here in this paper, we have used machine-learning approaches along with the Features to find out how the results vary. For the machine learning approaches, as there are many approaches which are available, we use the very popular approaches KNN, CART, NB and SVM for the observation. We observed that when the machine learning approaches are integrated with the feature-based approach, the results improve.
Interaction between increased CO2 and temperature enhance plant growth but do not affect millet grain production
Authors: Lima Gabriela Viana de Oliveira , Oki Yumi , Bordignon Leandra , Siqueira Wallison Kenedy , França Marcel Giovanni Costa , Boanares Daniela , Franco Augusto César , Fernandes Geraldo Wilson
Published: April 2022

The intergovernmental panel on climate change predicts a progressive increase in atmospheric CO2 concentration and temperature; however, their effects on cereals have been shown for a limited number of species. This study evaluates the effects of increased CO2 concentration and temperature separately and combined on millet growth and grain production in open-top chambers where the microclimate was adjusted to the following conditions: ambient CO2 and temperature; CO2 enriched (~ 800 ppm) and ambient temperature; ambient CO2 and higher temperature (+3ºC); and CO2-enriched and higher temperature. For each treatment, two chambers were used, each containing 15 7 L pots. Each pot received five seeds at the beginning of the experiment and thinning to one plant per pot at 15 days after sowing. Ten plants were harvested from each chamber 65 days after sowing and the plant height, the number of leaves and the longest root length as well as shoot and root biomass were measured. The remaining plants were harvested 130 days after sowing to evaluate grain production. The results indicate that high CO2 levels did not affect plant growth and biomass. On the other hand, plants subjected to high temperature grew 7% taller than those grown under ambient temperature. Contrastingly, plants submitted to both elevated CO2 and temperature were 19% taller and had 22% more shoot biomass than plants under ambient CO2 and temperature. However, grain production did not change in any of the environmental conditions. We provide evidence that millets are tolerant of the predicted climate changes and that grain production potential may not be affected.
Survival of pathogens after dormancy in apple tree twigs indicates potential risk as source of inoculum
Authors: Gelain Jhulia , Hamada Natasha Akemi , De Mio Louise Larissa May
Published: April 2022

Several diseases are difficult to control specially in subtropical regions and perennial hosts where the pathogen survive easily within the plant. The aim of this study was to identify which pathogens are surviving after end of one season and at the beginning of the next season to inform which pathogens represent potential risk as primary inoculum to the next season. Survival of pathogens on apple tree twigs was evaluated during dormancy and on beginning of vegetative growth in four orchards located in the two main apple production regions: Palmas and metropolitan region of Curitiba, in Paraná State, Brazil. For this purpose, 10 cm long asymptomatic twigs were collected from 10 randomly selected plants, 24 twigs per plant. Half of the twigs were left directly (without disinfection) in humid chambers for 30 days at 25ºC. The other half of the twigs were disinfected and kept in a freezer for 12 hours at -16ºC by the Over Night Freezing Incubation Technique (Onfit) and then kept in a humid chamber for 30 days at 25ºC. The fungi Colletotrichum sp., Botryosphaeria sp., Alternaria sp., and Fusarium sp. were detected in the two sampled dates and methodologies in all evaluated regions. Neonectria ditissima was only detected in both orchards from Palmas. The genera found surviving on twigs were confirmed molecularly by BLASTn and were pathogenic in wounded fruits from the cultivar ‘Gala’. Our results indicate that pathogens are surviving in orchards after winter treatment and throughout the apple season, being potential sources of inoculum for infections in flowers and fruits, where the pathogens detected cause important diseases as bitter rot, Neonectria fruit rot, white and black rots, and possibly cause Alternaria and Fusarium rots which have not been extensively studied in Brazil.
Genotype selection based on multiple traits in cotton crops: The application of genotype by yield*trait biplot
Authors: Peixoto Marco Antônio , Evangelista Jeniffer  Santana Pinto Coelho , Coelho Igor Ferreira , Carvalho Luiz  Paulo , Farias Francisco  José Correa , Teodoro Paulo Eduardo , Bhering Leonardo Lopes
Published: April 2022

In cotton crops, the cotton seed yield significantly contributes with the success of any cultivar. However, other traits are considered when an ideotype is pointed out in the selection, such as the fiber quality traits. The aim of this study was to applied genotype by yield*trait (GYT) biplot to a multi-environment trial data of cotton genotypes and selected the best genotypes. For this end, thirteen genotypes from nineteen trials were assessed. Seven traits were evaluated [cotton seed yield (SY), fiber percentage (FP), fiber length (FL), fiber uniformity (FU), short fiber index (SFI), fiber strength (FS), and elongation (EL)] and residual error variances structures [identity variance (IDV) and diagonal (Diag)] were tested by bayesian information criterion. After, the REML/BLUP approach was applied to predict the genetic values of each trait and the selective accuracy were measured from the prediction. Then, the GYT-biplot were applied to the data. For SP and SFI traits, the model with Diag residual variance was indicated, whereas for SY FL, FU, FS, and EL traits the model with IDV residual variance demonstrated the best fit to the data. Values of accuracy were higher than 0.9 for all traits analyzed. In the GYT-biplot acute angles were find for all traits relations, which means high correlation between the yield*traits combination. Besides that, the correlation still can be seen in the GYT-biplot, as shown by the magnitudes of the angles between the pairs Yield*FU-Yield*FS and Yield*FS-Yield*EL. Also, the GYT-biplot indicates the genotype G4 with the best performance for Yield*FS, Yield*SFI, Yield*FU, Yield*FL, and Yield*FP combined. The genotypes G4, G1, G13, G8, and G9 represent those genotypes with yield advantage over the other cultivars. Then, the genotype G4 combines all desirable characteristics and demonstrate have large potential in the cotton breeding. The GYT approach were valuable and were highly recommended in cotton breeding programs for selection purpose in a multivariate scenario.
Morphogenesis of age groups of marandu palisadegrass tillers during the stockpiling period
Authors: Brito Amanda Aparecida , Adorno Lorena Carla , Novais Victor Santana , Borges Gustavo Segatto , Borges Bruno  Gomes , Gois Kimberly Barcelos , Santos Manoel Eduardo Rozalino
Published: April 2022

The stockpiled forage canopy consists of tillers at different ages, which have specific development patterns. The objective was to understand the development of Urochloa brizantha cv. Marandu during the stockpiling period, by the morphogenic evaluation of tillers at different ages. The experiment was conducted in a completely randomized design, in a split plot scheme, with four replications. Three tillers ages (young, mature and old) and two periods of stockpiling (initial and final) were evaluated. The leaf appearance and elongation rates were higher in young tillers (0.05 tiller-1 day-1 and 0.62 cm tiller-1 day-1, respectively), compared to old tillers (0.02 tiller leaf-1 day-1 and 0.20 cm tiller-1 day-1, respectively). The final leaf length of the tillers' age groups was the same in the beginning of stockpiling. The number of live leaves was lower in the old tillers (2.4), compared to the young (3.6) and mature (4.1) ones, contrary to the stem length. The number of old tillers (800 tillers m-2) was higher than the young (299 tillers m-2) and mature ones (358 tillers m-²). The participation of different age groups of tillers in the canopy influences the development and structure of marandu palisadegrass.
Use of different adsorbents in broiler diets naturally contaminated by mycotoxins
Authors: Groff-Urayama Priscila Michelin , Padilha-Boaretto Joselaine Bortolanza , Gorges Mateus Henrique , Santos Isabela Lopes dos , Cruvinel Jéssica Moraes , Di Domenico Adriana Sbardelotto , Takahashi Sabrina Endo
Published: April 2022

This study investigated the effects of adding different adsorbent substances to broilers feed naturally contaminated by mycotoxins. Two hundred and eighty male 1-day-old chicks, Cobb Slow® lineage, were distributed in a randomized block design with 4 treatments, 5 repetitions with 14 birds each. The treatments consisted of: T1- basal feed naturally contaminated with mycotoxins. T2- basal feed + Bentonite, Thistle Extract, Yeast Extract, Vitamin E and Choline. T3- basal feed + Bentonite, Thistle Extract, yeast cell wall and Silymarin. T4- basal feed + Bentonite and Algae extract. Performance (weight gain, feed intake, feed conversion) at 7, 14, 21, 28 days were evaluated. At 28 days, a portion of the jejunum was collected in two birds by replicate to study the intestinal morphology. The relative weight of the gizzard, proventricle and total intestine was evaluated. The data obtained were analyzed using the statistical program SAS (9.3). With the use of any adsorbents studied, the performance and liver weight were improved in all evaluated periods. Thus, the inclusion of adsorbents improves the performance of the broiler chickens when the feed is contaminated by mycotoxins.
Seasonal occurrence and variation of ectoparasites in Nile tilapia (Oreochromis niloticus) in the Federal District, Brazil
Authors: Ribeiro Marcela Tosta , Caldas Bruna Maria da Silva , Rocha Gino Chaves da , Santana Angela Patricia , Navarro Rodrigo Diana
Published: April 2022

The present study assesses the diversity and seasonal variation of parasites in Oreochromis niloticus (Nile tilapia) cultivated in excavated tanks in the Federal District, Brazil. A total of 120 specimens of O. niloticus were collected in 12 monthly collections. Water quality parameters were checked at all tanks. The animals, sacrificed by immersion into anesthetic solution, had the gills scraped, in which the mucus was analyzed under an optical microscope. Parasitological examination showed Trichodina sp., Epistylis sp., Ichthyophthirius multifiliis, and Monogenea helminths in the fish gills. We found statistically significant differences between Monogenea parasites collected in the fall and winter and between I. multifiliis protozoans collected in fall-winter and winter-summer periods. Except for Epistylis sp., all parasites showed abundance peaks in O. niloticus specimens collected during the winter, which may characterize the seasonality of these parasites in the Federal District region. Monogenea helminths were the most prevalent among the parasites found, with the highest prevalence during the fall. The mean abundance of parasites was similar between the fall and winter. However, the abundance of monogenetic trematodes was higher between the winter and summer. I. multifiliis showed significant variation between fall-winter and winter-summer periods.
Canibalism in the larval instars of Spodoptera frugiperda (J. E. Smith, 1797) (Lepidoptera: Noctuidae): temperature and food quantity
Authors: Machado Lorena Contarini , Santos Junior Hugo José Gonçalves dos , Paiva Carlos Eduardo Costa , Santos Beatriz Almeida dos , Mauri Laura Vaillant Ribeiro , Rodrigues Julianne Almeida , Soares Carolina  de Oliveira , Zago Hugo Bolsoni
Published: April 2022

Cannibalism is a frequent behavior in Spodoptera frugiperda (J. E. Smith, 1797) larvae either in the field or in a laboratory. The purpose of this work was to investigate the factors temperature and food quantity on the cannibal behavior in instars of this insect under laboratory conditions. The neonates were conditioned at temperatures of 22, 25, 28 and 31 ± 1°C until they reached the 3rd, 4th, and 5th instar. The number of 20 larvae were transferred to different gerbox® with the amount of food varying from 0, 5, 10, 15, and 20 g of artificial diet. Cannibalism was evaluated after 72 hours. In all the instars evaluated, the larvae showed cannibalistic behavior as a function of temperature and amount of food. The amount of 15 g of artificial diet is sufficient to feed the 3rd and 4th instar larval for 72h, regardless of temperature. For the 5th instar this amount is 10 g.
Abscisic acid and in vitro conservation of Manihot wild species
Authors: Sá Jucieny Ferreira de , Verde Denise dos Santos Vila , Souza Marcus Dhilermando Hora de , Melo Jorge Eduardo dos Santos , Santos Karen Cristina Fialho dos , Souza Antonio da Silva , Alves Alfredo Augusto Cunha , Ledo Carlos Alberto da Silva
Published: April 2022

Abscisic acid (ABA) is associated with bud dormancy, leaf abscission, and germplasm growth inhibition in in vitro conservation. We evaluated the effects of ABA in four wild Manihot accessions and one cassava accession (M. esculenta Crantz) to refine in vitro conservation methods for these species. The experiment was performed at the Laboratory for Tissue Culture from Embrapa, Cruz das Almas, Bahia State, Brazil. The statistical design was completely random in a 5 × 5 factorial scheme [(5 ABA dosages (0, 0.25, 0.50, 0.75, and 1 mg L-1) and 5 Manihot species (M. pseudoglaziovii, M. tristis, M. flabellifolia, M. chlorosticta, and M. esculenta)], with 15 replicates. Mini-cuttings of 1 cm were used, each inoculated in 10 mL of modified Murashige and Skoog medium, solidified with Phytagel® (2.4 g L-1) containing the respective ABA dosages. Tubes containing these mini-cuttings were placed in a germplasm conservation room with an irradiance of 30 µmol m-2 s-1, temperature of 22 ± 1°C, and photoperiod of 12 hours. Plant height (cm), the number of living and senescent leaves, shoots, and mini-cuttings (1 cm), and fresh and dry weights of shoots and roots (mg) were evaluated after 150 days. Growth reduction was prominent in M. pseudoglaziovii, M. tristis, and M. flabellifolia during the in vitro conservation period. In the present study, the addition of ABA did not promote the expected reduction in plant growth
Are forgotten memories literal experiences of absences? Episodic forgetting and metacognitive feelings
Authors: Caravà Marta
Published: April 2022

Are occurrent states of forgetting literal experiences of absences? I situate this question within the debate on mental time travel (MTT) to understand whether these states can be explained as literal experiences of absent episodic memories. To frame my argument, I combine Barkasi and Rosen’s literal approach to MTT with Farennikova’s literal approach to the perception of absences, showing that both are built on the idea that for an experience to be literal it must afford an unmediated contact with the object that constitutes it. I test the idea that forgetting affords literal experiences of mnemonic absences by considering different views of absence perception and I evaluate whether the objections raised against Farennikova’s approach also apply to my exploratory idea. I show that, while the idea resists the objections that an advocate of a cognitive approach to mnemonic absences may raise, the same does not apply to those elaborated by advocates of a metacognitive approach. Even if conceiving of occurrent states of forgetting as literal experiences of mnemonic absences sounds appealing, this idea is misleading. Therefore, I suggest conceiving of occurrent states of forgetting as states with metacognitive features, which track the absence of episodic memories from awareness in an affectively mediated way
Causation in memory: necessity, reliability and probability
Authors: Andonovski Nikola
Published: April 2022

In this paper, I argue that causal theories of memory are typically committed to two independent, non-mutually entailing theses. The first thesis pertains to the necessity of appropriate causation in memory, specifying a condition token memories need to satisfy. The second pertains to the explanation of memory reliability in causal terms, and it concerns memory as a type of mental state. Post-causal theories of memory can reject only the first (weak post-causalism) or both (strong post-causalism) theses. Upon this backdrop, I examine Werning’s (2020) causalist argument from probabilistic correlation. I argue that it doesn’t establish the necessity of appropriate causation, and thus it can only target strong post-causalist theories. I end up by presenting some general considerations, suggesting that memories may not always be causally linked to past experiences.
Tableau Vivant em Lucíola: o ficto na estética romanesca oitocentista
Authors: Rosito Valeria
Published: April 2022

Estas considerações voltam-se para o lugar da ficção e do gênero em dois momentos e lugares da prosa de José de Alencar. Destaca-se a saliência do exercício escópico como elemento privilegiado na sua crônica de meio de século (1855), assim como o concurso das artes visuais e cênicas na escrita de seu romance Lucíola (1862). Recorre-se às considerações teóricas de Walter Benjamin sobre as mudanças na sensibilidade ótica, especialmente nas grandes cidades, a partir da segunda metade do século XIX, seja em sua crítica a Baudelaire (1989), seja ainda em suas considerações sobre a fotografia e o cinema (Benjamin, 1994). Apontam-se os limites impostos a esse aparato formal diante do compromisso do ficcionista brasileiro com a edificação moral ao mesmo tempo em que se sugere a produtividade desse momento de sua escrita para a síntese estético-histórica, capitaneada por Machado de Assis no último quartel do século XIX, no que diz respeito ao acabamento magistral da narrativa acentuadamente dramático-cinematográfica deste último escritor.
A Ressignificação do futurismo na literatura de Luiz Ruffato
Authors: Santos Carolina Barbosa Lima e
Published: April 2022

Propõe-se, neste trabalho, um estudo sobre a maneira pela qual o escritor contemporâneo brasileiro Luiz Ruffato, em Eles eram muitos cavalos, desafia e reinventa diversas poéticas que compõem a tradição literária ocidental. Analisa-se, em especial, as afinidades estéticas desta obra com as propostas da vanguarda futurista italiana por meio do suporte teórico de estudiosos como Gilberto Mendonça Teles, Maria Adélia Menegazzo, José Mendes Ferreira e Augusto de Campos. Apresentando-se como uma poética fragmentada, rápida, imagística e multifacetada, Eles eram muitos cavalos propõe inúmeras reflexões a respeito do cenário urbano brasileiro. Valendo-se de uma linguagem próxima à poética futurista, composta por palavras em liberdade em relação à ordem sintática e ao emprego formal de pontuação; bem como da experimentação de recursos tipográficos e onomatopaicos; Ruffato propõe uma relação espaciotemporal que busca provocar no leitor um efeito de dinamismo em referência à atmosfera de uma grande cidade moderna. Ao configurar um ambiente caótico em um mosaico de gêneros discursivos, Ruffato põe em cena uma metrópole desequilibrada e suja, habitada por crimes, desestrutura familiar, doença, consumismo, subempregos, vícios e outras mazelas que permeiam esta sociedade. Diante desta complexa materialidade literária, propõe-se, neste trabalho, uma análise sobre as reflexões sociais e as inovações estéticas propostas em Eles eram muitos cavalos
SFO for enhancing steganogrphy by exploiting exact resemblance between cover and secure text
Authors: Abdulhammed Omar Younis
Published: April 2022

Steganography has become an important science in security in recent years, it hides the existence of the secret information in such a way that no one suspects the information exists. In this paper a new steganography method for concealing message in message by using sailfish optimizer (SFO) and transposition method is proposed. In this work, the (SFO) is utilized to enhance the security and reduce the disfigurement to obtain best message quality, where the SFO has advantages in the term of security and text quality. The fitness values of the cover and secret message are calculated by using a new way. The SFO works to determining the matching fitness value between the cover and secret message and generates a key to recapture secret message. Lastly, relying on the matching fitness value, the steganography process is done by replacing (transposition) the secret's letters with cover's letters. The results proved that proposed method is effective, efficient and provided high security, high capacity, not malformed text and resistance against several steganalytic attacks
The impact of ‘seasonal urban event’ to the hosting city’s urban vitality: case study of Summer beach and Winter Wonderland in Nottingham, UK
Authors: Heo Woong , Tang Yue , Liu Feng , Hanks Laura , Xu Xiwei
Published: April 2022

Hosting seasonal urban events in open public spaces has a significant impact on urban vitality. By reviewing the categorisation of urban events, this paper explains the charactersitics of ‘Seasonal Urban Event’ through time, scale, location, format, content, function, and aim. It mainly focuses on leisure and entertainment events through two cases, Summer Beach and Winter Wonderland at Old Market Square in Nottingham, UK. The research explores ‘Seasonal Urban Event’ by literature review, open data, observation, and the survey data analysis of participants’ responses. The survey result indicates positive spatial and social engagement levels ranging from accessibility, legibility, permeability, flexibility to participation, satisfaction, and inclusivity. The potential benefits of social impact have been emphasised by participants’ responses to elevating civic pride and improving the level of social inclusion. It concludes that ‘Seasonal Urban Event’, as a useful supplement method, may enhance urban vitality in the hosting city
A hybrid approach towards movie recommendation system with collaborative filtering and association rule mining
Authors: Mahmood Wisam Alnadem , Almajmaie LaythKamil , Raheem Ahmed  Raad , Albawi Saad
Published: April 2022

There is a huge information stockpile available on the internet. But the available information still throws a stiff challenge to users while selecting the needed information. Such an issue can be solved by applying information filtering for locating the required information through a Recommender System. While using a RS, the users find it easy to curate and collect relevant information out of massive databanks. Though various types of RS are currently available, yet the RS developed by Collaborative Filtering techniques has proven to be the most suitable for many problems. Among the various Recommended Systems available, movie recommendation system is the most widely used one.  In this system, the recommendations will be made based on the similarities in the characteristics as exhibited by users / items. The movie recommendation system contains a huge list of user objects and item objects. This paper combines Collaborative Filtering Technique with association rules mining for better compatibility and assurance while delivering better recommendations. Hence, in the process, the produced recommendations can be considered as strong recommendations. The hybridization involving both collaborative filtering and association rules mining can provide strong, high-quality recommendations, even when enough data is unavailable. This article combines various recommendations for creating a movie recommendation system by using common filtering techniques and data mining techniques
Implementing Quantitative Electroencephalogram Monitoring by Nurses in a Pediatric Intensive Care Unit
Authors: Prendergast Erica , Mills Michele Grimason , Kurz Jonathan , Goldstein Joshua , Pardo Andrea C.
Published: April 2022

Background

Nonconvulsive seizures occur frequently in pediatric intensive care unit patients and can be impossible to detect clinically without electroencephalogram monitoring. Quantitative electroencephalography uses mathematical signal analysis to compress data, monitoring trends over time. Nonneurologists can identify seizures with quantitative electroencephalography, but data on its use in the clinical setting are limited.

Local Problem

Bedside quantitative electroencephalography was implemented and nurses received education on its use for seizure detection. This quality improvement project aimed to describe the time between nurses’ recognition of electrographic seizures and seizure treatment.

Methods

Education was provided in phases over several months. Retrospective medical record review evaluated quantitative electroencephalograms and medication interventions from September 2019 through March 2020. A bedside form was used to measure nurses’ use of quantitative electroencephalograms, change recognition, clinician notification, and seizure treatment. A nurse survey evaluated the education after implementation.

Results

Data included 44 electroencephalograms from 30 pediatric intensive care unit patients aged 18 years or less with electroencephalogram monitoring durations of 4 hours or longer. Nurses monitored quantitative electroencephalograms in 73% of cases, documented at least 1 change in the quantitative electroencephalogram display in 28% of these cases, and contacted the neurocritical care team in 78% of cases in which they documented a change. Seizure treatment was initiated in response to the nursing call in 1 patient. Time to treatment was approximately 20 minutes.

Conclusions

An education program for quantitative electroencephalogram interpretation by nurse providers is feasible yet complex, requiring multiple reeducation cycles.
Reducing Ventilator-Associated Events: A Quality Improvement Project
Authors: Sherburne Laura M. , Poehler Jessica L. , Tietz Jolene M.
Published: April 2022

Background

Mechanical ventilation is lifesaving therapy in intensive care units but can increase patients’ risk for ventilator-associated events. These events are associated with longer intensive care unit and hospital stays, more ventilator days, and increased mortality rates.

Local Problem

To meet internal and national benchmarks, the number of ventilator-associated events in a 15-bed intensive care unit needed to be decreased.

Methods

A multidisciplinary team used the define, measure, analyze, improve, and control framework in this quality improvement project at a community hospital. Evidence-based guidelines for preventing ventilator-associated events were incorporated into interventions, which included discussion of ventilator settings in daily rounds, additional evening rounds, and staff education. The team reinforced education, defined roles in the care of patients receiving mechanical ventilation, and implemented communication strategies between departments. Preimplementation data from the calendar year 2018 were compared with postimplementation data from the calendar year 2019.

Results

The ventilator-associated event incidence rate decreased from 25.58 per 1000 ventilator days in 2018 to 5.29 per 1000 ventilator days in the third quarter of 2019. The goal rate (≤ 18.00 events per 1000 ventilator days) was sustained for the year 2019.

Discussion

The lower rates of ventilator-associated events met internal and national benchmarks after the implementation of interventions. Safety was enhanced for patients who may have had unexpected outcomes related to a ventilator-associated event.

Conclusions

The creation and implementation of clear, specific communication and processes for successfully managing patients receiving mechanical ventilation decreased the rate of ventilator-associated events.
Effects of basalt fibres on strength and permeability of rice husk ash-treated expansive soils
Authors: Owino Alex Otieno , Nahar Najmun , Hossain Zakaria , Tamaki Noma
Published: April 2022

The application of stabilised soil in agricultural construction works such as shallow foundation fills and subgrade material for farm roads is in demand due to the improved geotechnical properties. This study focused on improving the compressive capabilities and the permeability characteristics of rice husk ash (RHA)-treated clayey soils using basalt fibre. Basalt fibres are made from naturally occurring basalt rock, yet their use in soil stabilisation has not been realised due to limited research for its validation in ground stabilisation. Essential variables in the stabilised soil matrix included basalt fibre length (3 mm, 6 mm, and 12 mm), RHA percentages (5%, 10%, and 15%), and cement percentage (3%). In addition, the optimum moisture content of each admixture was determined by standard proctor compaction tests and reduced by 3% to prepare the specimens for unconfined compression strength test, constant head permeability test, and scanning electron microscope (SEM) test. It was observed that the unconfined compression strength of the RHA-basalt fibre stabilised clayey significantly increased when the specimens wet cure for 28 days. Similarly, adding fibres into the soil improved the permeability coefficient. The SEM test showed a porous morphology that increased permeability. Furthermore, through SEM, the randomly oriented basalt fibres’ portrayed the reinforcing phenomenon related to improved compressive strength and sufficient bearing capacity to support structures built upon this class of soils.
Normativa CEE sulla sperimentazione (Good Clinical Practice)
Authors: Fiori Angelo , Sgreccia Elio
Published: April 2022

Non disponibile
"Norme di buona pratica clinica". Il documento della Comunità Europea sulla sperimentazione di nuovi prodotti farmaceutici
Authors: Spagnolo Antonio G.
Published: April 2022

L'idea di fondo per l'elaborazione di una guida europea di "buona pratica clinica" è stata quella di fornire degli standards comuni e di livello elevato per la valutazione clinica dei prodotti farmaceutici. L'elaborazione del documento è iniziata nel 1985 ed è stata completata nel 1988; la sua approvazione definitiva ha avuto luogo nel luglio 1990 ed esso diventerà operativo nel luglio 1991, in tempo dovuto prima dell'inizio del mercato unico dei farmaci del 1993. L'autore analizza ampiamente e schematizza tutti e cinque i capitoli della GCP facendo riferimento a: 1) la protezione dei soggetti che partecipano alla sperimentazione e il parere dei Comitati di Etica, 2) le responsabilità dello sponsor, del monitor e del ricercatore, 3) la gestione dei dati, 4) gli aspetti statistici e 5) il controllo della qualità. È anche considerata l'Appendice al documento la quale intende fornire indicazioni su alcuni aspetti pratici della sperimentazione. Nelle note l'autore chiarisce alcuni termini specifici usati nel documento così come sono definiti nel Glossario che è allegato alla GCP; egli, inoltre, fornisce il proprio parere personale su alcuni punti critici sottolineando particolarmente la connessione che esiste fra requisiti etici e garanzia di qualità della sperimentazione.
Two years progression-free survival under vinorelbine metronomic therapy of a patient with metastatic epithelioid hemangioendothelioma
Authors: Anevlavis Stavros , Karpathiou Georgia , Ntolios Paschalis , Froudarakis Marios E.
Published: April 2022

Epithelioid hemangioendothelioma (EHE) is a very rare vascular tumor, originating from endothelial cells. The etiology of EHE is unknown, yet at the molecular level, different angiogenic stimulators may act as promoters of endothelial cell proliferation. The tumor affects more commonly the lung, the liver and the bones but it can affect any other organ. Due to its heterogeneous presentation and its rarity it is often misdiagnosed. No treatment is proved to be efficient in metastatic EHE and the median survival of patients with metastatic pleural disease is generally poor, less than one year. we report a case of a 57-year-old female with multiple metastatic EHE including pleural, diagnosed by medical thoracoscopy, with a progression-free survival of 24 months with oral vinorelbine as maintenance therapy after combination of cisplatin-vinorelbine. We believe that this therapy might be of value to test in this patient population as it has never been tested before.