bluuebunny/crossref_metadata_2025_split huggingface dataset:
ITAPIÚNA
Authors: Sousa Natárcia Martins de , Costa Otávio José lemos 
Published: November 2021

Este artigo tem como objetivo compreender a relação entre paisagem e memória a partir da percepção dos moradores, considerando a importância de reconhecer os valores do seu patrimônio cultural aqui representados por suas formas simbólicas espaciais. Apesar de não ter destaque no que concerne a uma oficialidade, as paisagens culturais do município de Itapiúna trazem em sua materialidade as dimensões simbólicas que refletem os costumes, as tradições, a história e a cultura de seus moradores. Para a análise do real, buscamos uma prospecção que consistiu em realizar registros fotográficos e a realização de entrevistas com os moradores com o intuito de compreender a percepção entra paisagem e o patrimônio. A partir da análise dos resultados, podemos aferir como os seus moradores experienciam esta paisagem em um contexto da memória e das práticas de sociabilidade.
Fuzzy Transfer Learning in Time Series Forecasting for Stock Market Prices
Authors: Pal Shanoli Samui , Kar Samarjit 
Published: November 2021

Abstract
Transfer learning involves transferring prior knowledge of solving similar problems in order to achieve quick and efficient solution. The aim of fuzzy transfer learning is to transfer prior knowledge in an imprecise environment. Time series like stock market data are non-linear in nature and movement of stock is uncertain, so it is quite difficult following the stock market and in decision making. In this study, we propose a method to forecast stock market time series in the situation when we can use prior experience to make decisions. Fuzzy transfer learning (FuzzyTL) is based on knowledge transfer in that and adapting rules obtained domain. Three different stock market time series data sets are used for comparative study. It is observed that the effect of knowledge transferring works well together with smoothing of dependent attributes as the stock market data fluctuate with time. Finally, we give an empirical application in Shenzhen stock market with larger data sets to demonstrate the performance of the model. We have explored FuzzyTL in time series prediction to unerstand the essence of FuzzyTL. We were working on the question of the capability of FuzzyTL in improving prediction accuracy. From the comparisons, it can be said fuzzy transfer learning with smoothing improves prediction accuracy efficiently.
Intelligent wireless theranostic contact lens for close-loop electrical sensing and regulation of glaucoma
Authors: Yang Cheng , Wu Qianni , Liu Junqing , Mo Jingshan , Li Xiangling , Yang Chengduan , Liu Ziqi , Yang Jingbo , Jiang Lelun , Chen Weirong , Chen Hui-jiuan , Wang Ji , Xie Xi 
Published: November 2021

Abstract
Engineered closed-loop devices that can wirelessly track intraocular pressure (IOP) and offer feedback-medicine administrations are highly desirable for glaucoma treatments, yet remain difficult to develop. Integrated theranostic systems based on contact lens still confront several challenges, including size limits, requirements of wireless operations, and cross-coupling between multiple functional modulus. Here, for the first time to our knowledge, an integrated wireless theranostic contact lens (WTCL) for in situ electrical sensing and on-demand drug delivery of glaucoma was developed. The WTCL utilized a highly compact circuitry and structural design, which enabled high-degreed integration of IOP sensing and electrically controlled delivery modulus on the curved and limited surface of contact lens. The wireless IOP sensing modulus could ultra-sensitively detect IOP fluctuations, due to the unique cantilever configuration design of LCR circuit with ultra-soft air dielectric film sandwiched between each capacitive sensing plate. The drug delivery modulus employed a highly efficient wireless power transfer circuit, to trigger delivery of anti-glaucoma drug into aqueous chamber via iontophoresis to enhance drug permeation across cornea. The specialized design of frequency separation enabled individual operations of different modules without cross-coupling. The minimally invasive, smart, wireless and closed-loop theranostic features endowed the WTCL as a highly promising system for glaucoma treatments.
Immunopathology and parasite sequestration cause severe cerebral trypanosomiasis in animals
Authors: Pereira Sara Silva , De Niz Mariana , Serre Karine , Ouarné Marie , Franco Claudio A , Figueiredo Luisa M 
Published: November 2021

Abstract

Trypanosoma congolense causes a syndrome of variable severity in animals in sub-Saharan Africa. Cerebral trypanosomiasis is an acute form, but the mechanism underlying this severity remains unknown. We developed a mouse model of cerebral trypanosomiasis with T. congolense strain 1/148 and characterized the cellular, behavioral and physiological consequences of this infection. Using in vivo imaging, we show large parasite sequestration in the brain vasculature for long periods of time (up to 8 hours), that results in extensive brain damage partly caused by ICAM1-mediated recruitment and accumulation of T cells. Antibody-mediated ICAM1 blocking and lymphocyte absence reduce parasite sequestration in the brain and prevent the onset of cerebral trypanosomiasis. Here, we establish a new mouse model of cerebral trypanosomiasis and we propose a mechanism whereby parasite sequestration, host ICAM1, and T cells play a pivotal role.
Assessment of occupational stress and its associated factors among health care professionals working in Gurage Zone Public Hospitals in Southern Ethiopia
Authors: Haligamo Demamu , Haligamo Tanimo 
Published: November 2021

Abstract
Background: Job-related stress is harmful physical and emotional responses that occur when the requirements of the job don’t match the capabilities and needs of the worker. Therefore, if work isn’t properly managed, job stress can happen that leads to illness, absenteeism, high turnover, and decreased productivity that compromise provision of quality service to clients. Workers are backbones of countries development that are at risk of different occupational stresses. And, there’s no information about job-related stress among healthcare professionals and predicting factors around the study area. So, this study is aimed to assess occupational related stress and predicting factors among health care professional working in Gurage Zone public hospitals, Southern Ethiopia by August 2021. Method: Institutional based cross-sectional study was conducted to assess occupational related stress and predicting factors among health care professionals. A structured self-administered questionnaire was used to collect data from 345 study participants. The data was collected and analyzed by using Statistical Package for Social Science (SPSS) version.23. The association between dependent and independent variables were checked by using bivariate and multivariable logistic regression. Finally, descriptive writings, tables and graphs were used to describe study variables. Result: The result showed that the prevalence of occupation (work-related) stress among healthcare professionals was 78.3%. Wards in which healthcare professionals are working, position of healthcare professionals, working hour and work shift have significant association with stress status of respondents. When compared to Medical ward, professionals working in other wards were 1.62 times more likely to have stress [AOR 1.62 (1.23, 2.13)]. Also, when compared to respondents who are working for 8 hour per day, those working more than 8 hour per day were 70 times more likely to have stress [AOR 70 (85, 582)]. Discussion and Conclusion: According to this study three out of four respondents were found to have stress among healthcare professionals. Regular trainings for healthcare professional should be needed in public hospitals to reduce stresses.
Dynamic Tax Competition, Home Bias and the gain from Non-preferential Taxation Regimes: A case for unilateral commitment
Authors: Kishore Kaushal 
Published: November 2021

Abstract
A country has an incentive to unilaterally commit to a non-preferential taxation regime even though the competitor adopts a preferential taxation regime. We show that a mixed taxation regime arises in a dynamic two-period model of tax competition between two symmetric countries where an investor has home-bias for the country where he/she invests in the initial period. A scenario where competing countries jointly adopt non-preferential taxation regimes is also a subgame-perfect equilibrium. The tax revenue of the country which adopts a preferential taxation regime in a mixed taxation regime is equal to the tax revenue a country receives when competing countries jointly adopt a non-preferential taxation regime.JEL classification: F21; H21; H25; H87
Effects of Livestock Grazing on Interannual Variation of Soil Methane Uptake in an Inner Mongolian Meadow Steppe
Authors: Yan Ruirui , Zhang Yu , Chen Jiquan , Li Linghao , Shao Changliang , Yan Yuchun , Wang Xu , lv xiaotao , Chen Jinqiang , Xin Xiaoping 
Published: November 2021

Abstract
Background and aims. This study aimed at identifying the effects of livestock grazing on interannual variation in soil CH4 uptake and underlying mechanisms in a meadow steppe ecosystem. Methods. A multi-year grazing experiment subject to six stocking rates was conducted to quantify CH4 fluxes as well as the changes in driving factors: vegetation traits, soil physicochemical properties and climatic parameters. The closed static chamber technique and a gas chromatograph were used to measure methane fluxes. Multivariate regression analysis was performed to explore empirical relationships. Results. With increasing stocking rate, the multi-year mean CH4 uptake rate decreased in a sigmoid curve-shaped manner, with the threshold point appearing in the light grazing treatment. The interannual changes in soil CH4 uptake were highly dependent on stocking rate, with increasing, leveling and decreasing trends detected with increasing grazing intensity. Major factors affecting CH4 fluxes included vegetation traits, soil moisture, and soil nitrogen content, with the soil NH4+-N content assuming the most important role. However, predominant factors regulating interannual changes in CH4 uptake were rainfall, belowground biomass, and soil nitrogen regime. Conclusions. The steppe ecosystem acted as a CH4 sink, irrespective of stocking rate and year. However, light grazing can be the threshold grazing intensity in terms of both the CH4 uptake potential and primary production in this steppe ecosystem. Our findings have important implications for further understanding magnitudes and regulations of CH4 uptake in grassland soils worldwide.
Island-based Cuckoo Search with Elite Opposition-based Learning and Multiple Mutation Methods for Solving Discrete and Continuous Optimization Problems
Authors: Abed-alguni Bilal H. , Paul David 
Published: November 2021

Abstract
The Island Cuckoo Search ( i CSPM) algorithm is a new variation of Cuckoo Search (CS) that uses the island model and the Highly Disruptive Polynomial (HDP) mutation for solving a broad range of optimization problems. This article introduces an improved i CSPM algorithm called i CSPM with elite opposition-based learning and multiple mutation methods ( i CSPM2). i CSPM2 has three main characteristics. Firstly, it separates candidate solutions into a number of islands (sub-populations) and then divides the islands equally among four improved versions of CS: CS via Le'vy fights (CS1) [1], CS with HDPM mutation (CS10) [2], CS with Jaya mutation (CSJ) and CS with pitch adjustment mutation (CS11) [2]. Secondly, it uses Elite Opposition-based Learning (EOBL) to improve its convergence rate and exploration ability. Finally, it uses the Smallest Position Value (SPV) with scheduling problems to convert continuous candidate solutions into discrete ones. A set of 15 popular benchmark functions was used to compare the performance of iCSPM2 to the performance of the original i CSPM algorithm based on different experimental scenarios. Results indicate that i CSPM2 exhibits improved performance over i CSPM. However, the sensitivity analysis of i CSPM and i CSPM2 to their parameters indicates that their convergence behavior is sensitive to the island model parameters. Further, the single-objective IEEE CEC 2014 functions were used to evaluate and compare the performance of iCSPM2 to four well-known swarm optimization algorithms: DGWO [3], L-SHADE [4], MHDA [5] and FWA-DM [6]. The overall experimental and statistical results suggest that i CSPM2 has better performance than the four well-known swarm optimization algorithms. i CSPM2's performance was also compared to two powerful discrete optimization algorithms (GAIbH [7] and MASC [8]) using a set of Taillard's benchmark instances for the permutation flow shop scheduling problem. The results indicate that i CSPM2 performs better than GAIbH and MASC. The source code of i CSPM2 is publicly available at https://github.com/bilalh2021/iCSPM2
Asian Monsoon Projection With a New Large-Scale Monsoon Definition
Authors: Dai Xingang , Yang YANG , Ping WANG 
Published: November 2021

Abstract
This paper focuses on Asian monsoon projection with CMIP5 multi-model outputs. A large-scale monsoon herewith is defined as a vector field of vertically integrated moisture flux from the surface to 500 hPa. Results demonstrate that the model ensemble mean underestimated the summer monsoon and overestimated slightly the winter monsoon over South Asia in both CMIP5 historical climate simulation and the monsoon projection for 2006-2015. The major of the bias is the model climate drift (MCD), which is removed in the monsoon projection for 2016 -2045 under scenarios RCP4.5 for reducing the uncertainty. The projection shows that two increased moisture flows northward appeared across the Equator of Indian Ocean, the first is nearby Somalia coast toward northwestern part of South Asia, leading to excess rainfall in where the wet jet could reach, and the second starts from the equatorial section (80°E-100°E) toward northeastern Bay of Bengal, leading to more rainfall spreading over the northwestern coast of Indochina Peninsula. In addition, a westward monsoon flow is intensified over the Peninsula leading to local climate moisture transport belt shifted onto South China Sea, which would reduce moisture transport toward Southwest China on one hand, and transport more moisture onto the southeast coast of the China mainland. The anomalous monsoon would result in a dry climate in Northwest China and wet climate in the coast belt during summer monsoon season for the period. Besides, the Asian winter monsoon would be seemingly intensified slightly over South Asia, which would bring a dry winter climate to Indian subcontinent, Northwest China, but would be more rainfall in southeast part of Arabian peninsula with global climate warming.
Set-Valued Uncertain Process: Definition and Some Properties
Authors: Ghaffari-Hadigheh ‎Alireza 
Published: November 2021

Abstract
Some phenomena are developing over time, while they are uncertain sets at each moment. From an uncertain set, we mean an unsharp concept, such as “illness” and “recovery”, that is not exactly clear, even for an expert. The values of a parameter that are considered “recovery” would guide one to explain the underlying concept quantitatively. For instance, in recovering from some disease, different levels of health might be assumed. Particularly, at each specific time moment, being healthy to some degree would be measured by belonging parameter values to a set of numbers with a specific belief degree. This set might be extracted using imprecisely observed data, while an expert opinion completely expresses the belief degree. Such concepts would direct one to employ uncertainty theory as a strong axiomatic mathematical framework for modeling human reasoning. Another important feature of these sets is their variation over time. For instance, the set defining “recovery” at the beginning stage of recovery in a disease would be completely or partially different from that at other stages. These characteristics result in considering a sequence of evolving sets over time. Analyzing the behavior of such a sequence motivated us to define the set-valued uncertain process. This concept is a combination of uncertain set, uncertain process, and uncertain sequence. Here, we introduce the main concept. Some properties are extracted and clarified, along with some illustrative examples.
Archaic chaperone-usher pilus self-secretes into a superelastic zigzag spring architecture
Authors: Zavialov Anton , Pakharukova Natalia , Malmi Henri , Tuittila Minna , Paavilainen Sari , Dahlberg Tobias , Andersson Magnus , Myint Si Lhyam , Uhlin Bernt Eric , Ghosal Debnath , Chang Yi-Wei , Jensen Grant , Knight Stefan , Lamminmäki Urpo 
Published: November 2021

Abstract
Adhesive pili are hair-like appendages assembled via the chaperone-usher pathway (CUP) that mediate host tissue colonization and biofilm formation of Gram-negative bacteria 1-3. Archaic CUP pili, the most diverse and widespread CUP adhesins, are promising vaccine and drug targets due to their prevalence in the most troublesome multidrug-resistant (MDR) pathogens 1,4,5. However, their architecture and assembly-secretion process remain unknown. Here, we present the 3.4 Å resolution cryo-electron microscopy structure of the prototypical archaic Csu pilus that mediates biofilm formation of Acinetobacter baumannii, a notorious MDR nosocomial pathogen. In contrast to the thick helical tubes of the classical CUP pili, archaic pili assemble into a conceptually novel ultrathin zigzag architecture secured by an elegant clinch mechanism. The molecular clinch provides the pilus with high mechanical stability as well as superelasticity, a property observed now for the first time in biomolecules, while enabling a more economical and faster pilus production. Furthermore, we demonstrate that clinch formation at the cell surface drives pilus secretion through the outer membrane. These findings suggest that clinch-formation inhibitors might represent a new strategy to fight MDR bacterial infections.
Genome-wide identification, classification and expression analysis of the JmjC domain-containing histone demethylase gene family in Jatropha curcas L.
Authors: Wang Jie , Jiang Xiaoke , Bai Hanrui , Liu Changning 
Published: November 2021

Abstract
JmjC domain-containing proteins, an important family of histone lysine demethylase, play significant roles in maintaining the homeostasis of histone methylation. In this study, we comprehensively analyzed the JmjC domain-containing gene family in Jatropha curcas and found 20 JmjC domain-containing genes (JcJMJ genes). Phylogenetic analysis revealed that these JcJMJ genes can be classified into five major subgroups, and genes in each subgroup had similar motif and domain composition. Cis-regulatory element analysis showed that the number and types of cis-regulatory elements owned by the promoter of JcJMJ genes in different subgroups were significantly different. Moreover, the miRNA target prediction result revealed a complicated miRNA-mediated post-transcriptional regulatory network, in which JcJMJ genes were regulated by different numbers and types of miRNAs. Further analysis of the tissue and stress expression profiles showed that many JcJMJ genes had tissue and stress expression specificity. All these results provided valuable information for understanding the evolution of JcJMJ genes and the complex transcriptional and post-transcriptional regulation involved and laid the foundation for further functional analysis of JcJMJ genes.
Ghost Attractor in Fractional Order Blinking System and its Application
Authors: Kamal Fatma Mohamed , Elsaid Ahmed , Elsonbaty Amr Refaat 
Published: November 2021

Abstract
In this paper, the occurrence of ghost attractor is verified in three cases of a proposed fractional order Rössler blinking system. Firstly, the dynamical behaviors of the short memory fractional order prototype-4 Rössler system with Chua’s diode are explored via bifurcation diagrams and Lyapunov exponents. It is depicted that this system exhibits a variety of dynamics including limit cycles, period doubling and chaos. Then, a proposed non-autonomous fractional order Rössler blinking system is introduced. Numerical simulations are employed to confirm the existence of ghost attractors at specific cases which involve very fast switching time between two composing autonomous fractional subsystems. It is found that the presented fractional order blinking system is very sensitive to system parameters, initial conditions and stochastic process parameters. Thus, the induced chaotic ghost attractor is utilized in a suggested ghost attractor-based chaotic image encryption scheme for first time. Finally, a detailed security analysis is carried out and reveals that the proposed image cryptosystem is immune against different types of attacks such as differential attacks, brute force attacks, cropping and statistical attacks.
THE DETERMINANTS OF MANAGEMENT FORECASTS ERROR AND THE IPO UNDERPRICING: A CASE STUDY OF INDONESIAN IPO
Authors: Hutagaol Yanthi , Siauw Florens , Ekaputra Irwan A. 
Published: November 2021

To reduce the well-known information asymmetry in the IPO market, the issuing firms are required to publish offering prospectuses. One type of information disclosed in the prospectus is the management financial forecasts in which the IPO firms predict expected earnings at the end of year after the listing. The purpose of this study is to investigate the determinants of forecasted error published by the management in the IPO prospectuses. This study observes six possible determinants that affect the absolute forecast errors (AFE). Furthermore, this study also examines whether the earning forecast errors could explain the IPO stylish underpricing phenomenon.A sample of 124 IPO firms that went public in Indonesian Stock Exchange (prior Jakarta Stock Exchange) during the 1997 – 2005 period. The results show that the research models proposed are valid models. The management AFE is determined by firm size, forecast interval period, industry, and the firm business range. This study also finds that the AFE is positively related to the IPO underpricing, suggesting that the higher the forecast errors, the more underpriced is the IPO. Moreover, it is also found that market condition also influences the underpricing level in Indonesian IPO market.
Variants of ctxB alleles of Vibrio cholerae O1 caused sequential cholera outbreaks in the tribal areas of Odisha, India
Authors: Pal Bibhuti Bhusan , Nayak Smruti Ranjan , Nayak Ashish Kumar , Behera Dipti Ranjan , Pany Swatishree , Pati Sanghamitra 
Published: November 2021

Abstract
Cholera localized outbreaks/epidemics accounting for high morbidity and mortality have been reported in different years both from the coastal and tribal districts of Odisha. In the present study, the emergence and spread of two sequential cholera outbreaks reported in July to October 2012 from Rayagada and Kalahandi districts of Odisha was investigated. Environmental water samples from different sources and rectal swabs from diarrhoea patients were analysed for identification, antibiogram profiles and molecular studies using DMAMA-PCR assays. The pulsed field gel electrophoresis (PFGE) was done on some selected Vibrio cholerae O1 strains isolated from these cholera outbreak areas. Results showed 42% of rectal swabs and 2.3% of water samples collected from both the districts were positive for Vibrio cholerae O1 Ogawa biotype El Tor carrying both ctxB1 and ctxB7 genotypes. The common resistance profile of V. cholerae O1 strains was ampicillin, nalidixic acid, furazolidone and co-trimoxazole. The PFGE analysis on selected V. cholerae O1 strains of ctxB1 and ctxB7 genotypes showed three pulsotypes with 96% similarity matrix exhibiting the relationship with their respective water sources. Hence, continuous surveillance is highly essential to monitor the antibiogram profile and changing pattern of ctxB genotypes of V. cholerae O1 in this region.