bluuebunny/crossref_metadata_2025 huggingface dataset:
Is the Potential for Multi-Functional Use of Industrial Hemp Greater than Maize under Saline Conditions?
Authors: Tedeschi Anna , Cerrato Domenico , Menenti Massimo
Published: November 2022

There is a new and growing interest in using hemp as a raw material for a wide portfolio of food and non-food products. This study provides a synthesis of such information on the basis of literature and experimental data. For comparison, similar information on maize is provided. To document multiple uses of both crops, a list of products was compiled and the fraction of the total dry biomass of each plant part used for each product was estimated. A field experiment was carried out on the response of hemp and maize to irrigation scheduling and to the quality of irrigation water. Both literature and our experiment show that water and salinity stress reduce the total dry biomass, but do not modify substantially the relative availability for the intended marketable products. The field experiment did show that total biomass declined as salinity increased for both crops, but the partition in different fractions did not change significantly with the increase in salinity for all plant fractions and both crops. The market value of the observed, reduced, yield of maize and hemp was estimated. The experimental findings suggest that widespread use of hemp would lead to a more resilient and sustainable agri-food system, although regulatory and medium enterprise policies should be adapted to bring about this development.
Strip Intercrop of Barley, Wheat, Triticale, Oat, Pea and Yellow Lupine—A Meta-Analysis
Authors: Gałęzewski Lech , Jaskulska Iwona , Jaskulski Dariusz , Wilczewski Edward , Kościński Marek
Published: November 2022

The simultaneous sowing of two or more species in the same field without a fixed location in relation to each other—mixed intercropping—is associated with the problem of optimizing agrotechnics for plants with different requirements and instability of the composition of the crop. An alternative which eliminates these problems can be strip intercropping. Based on the published results of seven long-term field experiments aimed at understanding the proximity effect of various species in strip intercropping, a mathematical simulation of strip intercropping production effects was performed: oat/lupine, barley/pea, wheat/pea, triticale/pea, wheat/barley, wheat/triticale, and triticale/barley. The simulation takes into account different widths of the strips and the possibility of their separation by a path. The yield of strip intercropping consisting of cereals and legumes was similar to the average yield of both components grown in single-species crops. Separating the cereal from the legume plant by a path did not have a major effect on the total yield; however, it increased the share of the legume plant in the yield. The width of the strips was also important in terms of yield and the share of individual species in the yield, especially when strips were separated by a path. Taking into account the level of yield and the technical possibilities of optimizing agrotechnics for each of the components separately, as well as the possibility of separate harvesting, then strip intercropping and strip intercropping separated by paths, with 3 m wide strips, are justified. The analysis of the results showed that the formation of strip intercropping or strip intercropping separated by paths consisting of only two species of cereals does not bring production benefits when compared to monoculture of the individual components.
Effects of Long-Term Chemical and Organic Fertilizer Application on Soil Phosphorus Fractions in Lei Bamboo Plantations
Authors: Li Qiaoling , Li Aibo , Huang Zhiyuan , Zhong Zheke , Bian Fangyuan , Zhang Xiaoping
Published: November 2022

Phosphorus (P) is a key nutrient in forest ecosystems in subtropical regions. However, the effects of the long-term application of organic amendments on P availability are poorly understood. Here, we compared the soil P fractions and associated soil properties in southern Chinese Lei bamboo plantations using both an intensive management system (IMS) and a traditional management system (TMS). The results show that the IMS significantly (p < 0.05) increased the soil total organic carbon (C), soil ammonium N (NH4-N), total P, and available potassium content; microbial biomass C and P content; P activation coefficient, and soil C:P ratios, while significantly (p < 0.05) decreasing pH and microbial C:P. The labile-P-to-total-phosphorus-content ratio increased significantly in the IMS (46%) compared with that in the TMS (32%). The selected soil properties (except nitrate [NO3-N]) were significantly related to soil P fractions (except for concentrated HCl-extracted organic P). The IMS had a higher C:P ratio and labile P content than the TMS, suggesting that the IMS could promote soil P transformation and availability. Overall, the IMS increased soil P availability and supply capacity, and the changes in P forms could be a risk factor for P loss.
Thermal Comfort Prediction Accuracy with Machine Learning between Regression Analysis and Naïve Bayes Classifier
Authors: Sibyan Hidayatus , Svajlenka Jozef , Hermawan Hermawan , Faqih Nasyiin , Arrizqi Annisa Nabila
Published: November 2022

Various data analysis methods can make thermal comfort prediction models. One method that is often used is multiple linear regression statistical analysis. Regression analysis needs to be checked for accuracy with other analytical methods. This study compares the making of a thermal comfort prediction model with regression analysis and naïve Bayes analysis. The research method used quantitative methods for data collection regarding thermal comfort. The thermal comfort variable, consisting of eight independent variables and one dependent variable, was measured at Wonosobo High School, Indonesia. The analysis to make the prediction model was carried out with two different analyses: multiple linear regression analysis and naïve Bayes analysis. The results show that naïve Bayes is more accurate than multiple linear regression analysis.
Investment in Learning Chinese by International Students Studying Chinese as a Second Language (CSL)
Authors: Lu Juexuan , Wang Yajun , Shen Qi , Gao Xuesong
Published: November 2022

This study, drawing on the theoretical model of investment, explores what motivates and encourages international students studying Chinese as a second language (CSL) to invest in their Chinese learning using Q sorting and interview data collected from 15 international undergraduate students studying in mainland China. The results reveal that: (1) CSL students’ incentives for investment are intra-personally and inter-personally diverse and can be divided into three categories (multilingual posture and cultural capital-oriented, economic capital-oriented, and cultural capital and experience-oriented); (2) CSL students’ Chinese learning investment is dynamic, as they aim to enrich their learning and life experiences after studying Chinese for a period of time; (3) CSL students’ investment is apparently driven by multiple perceived benefits, in that utilitarian objectives (e.g., scholarships, employment opportunities, and educational qualifications) are characteristic of CSL students’ investment, but are also interwoven with some non-utilitarian objectives (e.g., enriching one’s experience and making friends). The findings have some implications for CSL education and future studies.
Cultivation of Desmodesmus multivariabilis for the Treatment of Cosmetic Wastewater
Authors: Onyancha Faith M. , Haneklaus Nils H. , Brink Hendrik G.
Published: November 2022

The discharge of cosmetic wastewater into the wastewater treatment systems has become an environmental concern due to high concentrations of nutrients. The current study explored the phytoremediation potential of Desmodesmus multivariabilis, under mixotrophic growth, to remove total organic carbon (TOC), sulfur (TS), nitrogen (TN), and phosphorus (TP) from cosmetic wastewater (CWW). The CWW was prepared using samples supplied by a local cosmetic production company (two dyes, two hair relaxers, as well as two shampoos and conditioners). The bioremediation potential of D. multivariabilis was tested under four different conditions: raw CWW with 0% CO2 in the aeration stream (i.e., atmospheric air); pre-treated CWW with 0% CO2, 2.5% CO2, and 5% CO2. Control experiments were run in parallel. Under mixotrophic growth, the microalga performed best at 5% CO2 in the pre-treated CWW where TOC, TN, TP, and TS removal of >88%, >98%, >95%, and >90% were measured, respectively. The corresponding biomass (dry weight) was >203 mg/L. Relaxers promoted growth most prominently; however, it was observed that there was significant nutrient removal even in the absence of growth in all experiments. The growth followed Liebig’s Law, displaying three distinct phases (CO2 concentration, CO2 mass transfer, and nutrient limited growth). The results demonstrated the potential for the successful bioremediation of cosmetic wastewater by D. multivariabilis.
Multi-Scale Remaining Useful Life Prediction Using Long Short-Term Memory
Authors: Wang Youdao , Zhao Yifan
Published: November 2022

Predictive maintenance based on performance degradation is a crucial way to reduce maintenance costs and potential failures in modern complex engineering systems. Reliable remaining useful life (RUL) prediction is the main criterion for decision-making in predictive maintenance. Conventional model-based methods and data-driven approaches often fail to achieve an accurate prediction result using a single model for a complex system featuring multiple components and operational conditions, as the degradation pattern is usually nonlinear and time-varying. This paper proposes a novel multi-scale RUL prediction approach adopting the Long Short-Term Memory (LSTM) neural network. In the feature engineering phase, Pearson’s correlation coefficient is applied to extract the representative features, and an operation-based data normalisation approach is presented to deal with the cases where multiple degradation patterns are concealed in the sensor data. Then, a three-stage RUL target function is proposed, which segments the degradation process of the system into the non-degradation stage, the transition stage, and the linear degradation stage. The classification of these three stages is regarded as the small-scale RUL prediction, and it is achieved through processing sensor signals after the feature engineering using a novel LSTM-based binary classification algorithm combined with a correlation method. After that, a specific LSTM-based predictive model is built for the last two stages to produce a large-scale RUL prediction. The proposed approach is validated by comparing it with several state-of-the-art techniques based on the widely used C-MAPSS dataset. A significant improvement is achieved in RUL prediction performance in most subsets. For instance, a 40% reduction is achieved in Root Mean Square Error over the best existing method in subset FD001. Another contribution of the multi-scale RUL prediction approach is that it offers more degree of flexibility of prediction in the maintenance strategy depending on data availability and which degradation stage the system is in.
Assessing Metallic Pollution Using Taxonomic Diversity of Offshore Meiobenthic Copepods
Authors: Amorri Jalila , Veit-Köhler Gritta , Boufahja Fehmi , Abd-Elkader Omar H. , Plavan Gabriel , Mahmoudi Ezzeddine , Aïssa Patricia
Published: November 2022

The Gulf of Gabès, located on the south-east Tunisian coast, is an important maritime area, with great influence on the local economy and human welfare. The aim of the current study was to assess the response of meiobenthic copepod populations from this gulf to anthropogenic disturbances. Nine sampling sites, situated along the shores of the gulf were surveyed seasonally from winter of 2004 to autumn of 2005. Interestingly, this biotope has one of the highest semi-diurnal tides in the Mediterranean Sea. Despite the fact that the data being presented here are not that new, such a high maximum amplitude of tides reaching 2 m makes any information available on animals with diurnal dispersal cycles such as copepods extremely precious. Furthermore, the lack of knowledge on these crustaceans is obvious and lags behind that of numerous other meiobenthic taxa and planktonic calanoids. Actually, most publications do not reach the species level and are limited to determining densities. This is mainly due to the modest size of harpacticoids, and the lack of qualified taxonomic experts and global taxonomic databases. Sediment samples were analyzed for fluorine, carbohydrates and trace metals (i.e., Fe, Zn and Cd) content. A pollution index, based on the eigenvalues of the main ordination axis of a Principal Component Analysis, was applied. The highest values of chemicals were detected at the sites situated near an industrial complex, along with significant variations among seasons. The copepod community comprised 38 species, including five species new to science. Species richness, density and biomass of copepod communities varied among sites and seasons. These community-based indices were also analyzed separately for each season with conditional autoregressive models, revealing a significant negative response with the level of pollution. However, the results of partial Mantel tests showed positive correlations between species richness and pollution level, after controlling for the effect of geographic proximity in-between pairs of sites (winter: r = 0.927, p < 0.0001; spring: r = 0.935, p < 0.0001; summer: r = 0.918, p < 0.0001; autumn: r = 0.937, p < 0.0001). The overall pattern was that nearby sites were characterized by similar pollution levels and inhabited by similar species of copepods. Moreover, the copepod communities were significantly influenced by pollutants, mainly by trace metals. The results of the current survey emphasize the usefulness of meiobenthic copepods in biomonitoring programs not only for the gulf of Gabès, but also for other coastal areas from the Mediterranean Sea region.
A Prediction Study on Archaeological Sites Based on Geographical Variables and Logistic Regression—A Case Study of the Neolithic Era and the Bronze Age of Xiangyang
Authors: Li Linzhi , Li Yujie , Chen Xingyu , Sun Deliang
Published: November 2022

Archaeological site predictive modeling is widely adopted in archaeological research and cultural resource management. It is conducive to archaeological excavation and reveals the progress of human social civilization. Xiangyang City is the focus of this paper. We selected eight geographical variables as the influencing variables, which are elevation, slope, aspect, micro-landform, slope position, plan curvature, profile curvature, and distance from water. With them, we randomly obtained 260 non-site points at the ratio of 1:1 between site points and non-site points based on the 260 excavated archaeological sites and constructed a sample set of geospatial data and the archaeological based on logistic regression (LR). Using 10-fold cross-validation, we trained and tested the model to select the best samples. Thus, the quantitative relationship between the archaeological sites and geographical variables was established. As a result, the Area Under the Curve (AUC) of the LR model is 0.797 and its accuracy is 0.897 in the study. A geographical detector unveils that the three influencing variables of Distance from water, elevation and Plan Curvature top the chart. The archaeological under LR is highly stable and accurate. The geographical variables constitute crucial variables in the archaeological.
Assessing the Innovation of Mobile Pedagogy from the Teacher’s Perspective
Authors: Zhang Jie , Yu Sunze
Published: November 2022

This paper focuses on the use of mobile technology to assist teaching and learning in distance education. It aims to investigate teaching behaviour in mobile pedagogy and examine the impact of technology on current education. A case study was conducted through semi-structured interviews with a cohort of 30 Chinese lecturers who taught English through online tutoring. Thematic analysis was used to analyse the interview data and the assessment was based on teacher perceptions of mobile pedagogy. The impact of technology on the current educational environment is discussed through an analysis of mobile pedagogy and teacher perceptions. The findings show that mobile pedagogy is highly regional in practice and nature and features in-country software applications and social communication tools. Despite the attributes of connectivity and flexibility, mobile pedagogy only disrupted traditional teaching methods, leading to minimal changes to the education system. This study provides recommendations for the sustainable development of mobile pedagogy for future education systems in the digital age.
An Approach to Model the Willingness to Use of E-Scooter Sharing Services in Different Urban Road Environments
Authors: Sorkou Theodora , Tzouras Panagiotis G. , Koliou Katerina , Mitropoulos Lambros , Karolemeas Christos , Kepaptsoglou Konstantinos
Published: November 2022

E-scooter sharing services been grown exponentially within the last five years. They are based on the flexibility of accessing dense urban areas without specialized infrastructure. In modern cities, there are diverse road environments that impact the comfort, and therefore the attractiveness, of micro-mobility services. This study aims to investigate the willingness to use e-scooter sharing services, while considering the road environment. To formulate area-specific pricing policies, a stated preferences experiment with 243 respondents, who can be considered as potential users, is conducted in Athens, Greece and a binary logistic regression model with random beta parameters is developed. The analysis of the model marginal effects indicates that the integration of bonus points into micro-mobility services, combined with the option of transferring these points to parking services, can compensate a non-friendly road environment, thus increasing the service demand. The existence of roads with good pavement conditions and wide sidewalks significantly increased the willingness of respondents to use e-scooter sharing services. Unexpectedly, pedestrianized zones in a buffer area of 2 km radius from the trip origin reinforce the attractiveness of shared e-scooters, while the contribution of bike lanes and traffic calming streets (or shared space) were proven to be insignificant.
Extending the Applicability of Cordero Type Iterative Method
Authors: Remesh Krishnendu , Argyros Ioannis K. , Saeed K Muhammed , George Santhosh , Padikkal Jidesh
Published: November 2022

Symmetries play a vital role in the study of physical systems. For example, microworld and quantum physics problems are modeled on the principles of symmetry. These problems are then formulated as equations defined on suitable abstract spaces. Most of these studies reduce to solving nonlinear equations in suitable abstract spaces iteratively. In particular, the convergence of a sixth-order Cordero type iterative method for solving nonlinear equations was studied using Taylor expansion and assumptions on the derivatives of order up to six. In this study, we obtained order of convergence six for Cordero type method using assumptions only on the first derivative. Moreover, we modified Cordero’s method and obtained an eighth-order iterative scheme. Further, we considered analogous iterative methods to solve an ill-posed problem in a Hilbert space setting.
Exploiting Asymmetric Co States in a Co-N-C Catalyst for an Efficient Oxygen Reduction Reaction
Authors: Liang Qing , Meng Fanling , Song Kexin , Wang Dong , Zhang Wei
Published: November 2022

Co-NC catalysts have attracted extensive concerns derived from their high oxygen reduction reaction (ORR) activity, but the catalytic mechanism of Co species with different forms remains controversial. Herein, we prepare Co-NC catalysts with a cobalt nanoparticle-supported and nitrogen-doped carbon structure using the ZIF-67 precursor, in which the Co states in the catalyst present an asymmetric state of an exposed carbon coating (Asy-Co) and a symmetric state of buried carbon (Sy-Co). The acid etching process removed the exposed asymmetric cobalt nanoparticles on the surface. The specific role of cobalt nanoparticles with different forms in the Co-NC catalysts was comprehensively clarified through analyzing the chemical coordination environment by XPS and XAFS. The half-wave potential (E1/2 = 0.83 V) and onset potential (Eon = 1.04 V) of the Co-NC catalysts obtained after acid etching decreased significantly. Thus, the cobalt species removed by the acid etching process offered confirmed contributions to the catalytic activity. This work puts forward an important reference for the design and exploitation of non-noble metal catalysts using symmetry-derived motifs.
Asymmetry Opinion Evolution Model Based on Dynamic Network Structure
Authors: Lu An , Guo Yaguang
Published: November 2022

On social media platforms, users can not only unfollow others whose opinion excessively opposes their own, but they can also add new connections. To better reflect the evolution of opinions on social media, this paper proposes an opinion asymmetry evolution model based on a dynamic network structure, where the trusts between two individuals are not mutual and dynamic. First, the paper analyzes the general properties of the model. We prove that group opinion can converge to a steady state even if the connection is unidirectional. Second, we compare the evolution process of static and dynamic network structures. Computer simulation results show that a higher probability of new connections leads to less aggregation of group opinion, higher information entropy, lower HHI, and lower degrees of polarization.
Effects of Various Marine Toxins on the Mouse Intestine Organoid Model
Authors: Wang Nengzhuang , Liu Minghua , Bi Fengrui , Ma Long , Qin Lina , Wang Yao , Gu Kai , Ge Xuemei , Yan Hongli
Published: November 2022

Because of their trace existence, exquisite structure and unique role, highly toxic marine biotoxins have always led to the development of natural product identification, structure and function research, chemistry and biosynthesis, and there are still many deficiencies in the injury and protection of highly toxic organisms, toxin biosynthesis, rapid detection, poisoning and diagnosis and treatment. In this study, a mouse intestine organoid (MIO) model was constructed to explore the effects of the marine toxins okadaic acid (OA) and conotoxin (CgTx) on MIO. The results showed that the cell mortality caused by the two toxins at middle and high concentrations was significantly higher than the cell mortality of the control group, the ATPase activity in each group exposed to OA was significantly lower than the ATPase activity of the control group, all the CgTx groups were significantly higher than that of the control group, and the number of apoptotic cells was not significantly higher than the number of apoptotic cells of the control group. Through RNA-Seq differential genes, Gene Ontology (GO) and pathway analysis, and Gene Set Enrichment Analysis (GSEA) experimental results, it was demonstrated that OA reduced cell metabolism and energy production by affecting cell transcription in MIO. Ultimately, cell death resulted. In contrast, CgTx upregulated the intracellular hormone metabolism pathway by affecting the nuclear receptor pathway of MIO, which resulted in cell death and the generation of energy in large amounts.
Metagenomic Analysis of Ampelographic Collections of Dagestan Revealed the Presence of Two Novel Grapevine Viruses
Authors: Shvets Darya , Sandomirsky Kirill , Porotikova Elena , Vinogradova Svetlana
Published: November 2022

In this study, we analyzed the virome of 73 grape samples from two Dagestan ampelographic collections in Russia using high-throughput sequencing of total RNAs. Fourteen viruses and four viroids were identified, with one to eleven of them detected in each plant. For the first time in Russia, we identified grapevine leafroll-associated virus 7 and grapevine Kizil Sapak virus. A total of 206 genomes of viruses and viroids were obtained, and their phylogenetic analysis was carried out. The de novo assembly and tblastx analysis allowed us to obtain contigs of a novel (+) ssRNA genome of a plant virus from the genus Umbravirus, which was tentatively named grapevine umbra-like virus (GULV), as well as contigs of a novel dsDNA pararetrovirus from the genus Caulimovirus, which was tentatively named grapevine pararetrovirus (GPRV). Complete genomes of these viruses were obtained and used for Sequence Demarcation Tool (SDT) analysis and phylogeny studies. GULV and GPRV were detected in 16 and 33 germplasm samples from the Dagestan collections, respectively.
Monitoring of Avian Influenza Viruses and Paramyxoviruses in Ponds of Moscow and the Moscow Region
Authors: Treshchalina Anastasia , Postnikova Yulia , Gambaryan Alexandra , Ishmukhametov Aydar , Prilipov Alexei , Sadykova Galina , Lomakina Natalia , Boravleva Elizaveta
Published: November 2022

The ponds of the Moscow region during the autumn migration of birds are a place with large concentrations of mallard ducks, which are the main hosts of avulaviruses (avian paramyxoviruses) and influenza A viruses (IAV). The purpose of this study was the determination of the biological diversity of IAV and avulaviruses isolated from mallards in Moscow’s ponds. A phylogenetic analysis of IAV was performed based on complete genome sequencing, and virus genomic reassortment in nature was studied. Almost all IAV genome segments clustered with apathogenic duck viruses according to phylogenetic analysis. The origin of the genes of Moscow isolates were different; some of them belong to European evolutionary branches, some to Asian ones. The majority of closely related viruses have been isolated in the Western Eurasian region. Much less frequently, closely related viruses have been isolated in Siberia, China, and Korea. The quantity and diversity of isolated viruses varied considerably depending on the year and have decreased since 2014, perhaps due to the increasing proportion of nesting and wintering ducks in Moscow.
Rildo: Real-World Multicenter Study on the Effectiveness and Safety of Single-Tablet Regimen of Dolutegravir plus Rilpivirine in Treatment-Experienced People Living with HIV
Authors: Hidalgo-Tenorio Carmen , Vinuesa David , García-Vallecillos Coral , Muñoz-Medina Leopoldo , Sequera Sergio , Javier Rosario , López-Ruz Miguel Ángel , Sadyrbaeva-Dolgova Svetlana , Pasquau Juan
Published: November 2022

Two-drug regimens (2DRs) are emerging in clinical practice guidelines as treatment option for both naive and treatment-experienced people living with HIV (PLHIV). Objectives: To determine the real-life effectiveness of 2DR with 25 mg RPV plus 50 mg DTG in a single-tablet regimen (RPV/DTGSTR) and its impact on viral and immune status, lipid profile, and inflammatory markers. Methods: This observational study included 291 treatment-experienced PLHIV, starting 2DR with RPV/DTGSTR between 29 January 2019 and 2 February 2022, who were followed up for at least six months. Participants gave verbal informed consent for the switch in antiretroviral therapy (ART) to RPV/DTGSTR. Results: The mean age of the 291 participants was 51.3 years; 77.7% were male; and 42.9% were in the AIDS stage with a CD4 nadir of 283.5 ± 204.6 cells/uL. The median time since HIV diagnosis was 19.7 years (IQR: 10.6–27). Before 2DR, patients received a median of five ART lines (IQR: 3–7) for 22.2 years (IQR: 14–26), with 34.4% (n = 100) receiving a three-drug regimen (3DR), 31.3% (n = 91) receiving monotherapy, and 34.4% (n = 100) receiving 2DR. The median time on RPV/DTGSTR was 14 months (IQR: 9.5–21); 1.4% were lost to the follow-up. Effectiveness was 96.2% by intention-to-treat (ITT) analysis, 97.5% by modified ITT, and 99.3% by per-protocol analysis. Virological failure was observed in 0.69%, blips in 3.5%, and switch to another ART in 1.4%. The mean lipid profile improved, with reductions in TC/HDLc ratio (3.9 ± 0.9 vs. 3.6 ± 0.9; p = 0.0001), LDLc (118.3 ± 32.2 mg/dL vs. 106.2 ± 29.8 mg/dL, p = 0.0001), TG (130.9 ± 73.9 mg/dL vs. 115.9 ± 68.5 mg/dL, p = 0.0001), and CD4/CD8 ratio increase (0.99 ± 0.58 vs. 1.01 ± 0.54; p = 0.0001). The cost-effectiveness of 2DR with RPV/DTGSTR was similar to that of DTG/3TC and superior to those of BIC/TAF/FTC and DRV/c/TAF/FTC, with higher virological suppression and lower annual costs. Conclusions: The switch to RPV plus DTG in STR is a cost-effective, long-lasting, and robust strategy for PLHIV, with a very long experience of treatment, which improves the lipid profile without affecting inflammatory markers.
The First Report of a Virulent Newcastle Disease Virus of Genotype VII.2 Causing Outbreaks in Chickens in Bangladesh
Authors: Nooruzzaman Mohammed , Hossain Ismail , Begum Jahan Ara , Moula Moktader , Khaled Shamsul Arefin , Parvin Rokshana , Chowdhury Emdadul Haque , Islam Mohammad Rafiqul , Diel Diego G. , Dimitrov Kiril M.
Published: November 2022

Newcastle disease (ND) is endemic in poultry in Bangladesh. We performed genotypic and pathotypic characterization of four ND virus (NDV) isolates from recent outbreaks in broiler chickens in Bangladesh during the period of 2020–2021. Phylogenetic analysis based on the complete fusion protein gene coding sequences classified the viruses into NDV class II genotype VII.2 together with viruses from Indonesia isolated between 2014 and 2021 and a single 2020 Indian isolate. Pathogenicity testing using the intracerebral pathogenicity index in day-old chickens and mean embryo death time in embryonating chicken eggs revealed that the Bangladeshi isolates are velogenic. Inoculation of 35-day-old chickens with two NDV isolates (LT67 and N5) resulted in 100% morbidity by 3 days post inoculation (DPI), and all birds succumbed to infection by 7 DPI. Massive hemorrhages, congestion and necrotic lesions were observed in different visceral organs, which were typical for infection with a velogenic viscerotropic pathotype of NDV. At microscopic examination, tracheitis, severe pneumonia, focal proventriculitis, transmural enteritis, focal myocarditis, severe congestion and necrosis in kidneys, and lymphoid depletion in lymphoid tissues were found. Our study reports the first outbreak of the panzootic genotype VII.2 NDV in poultry in Bangladesh and documents a possible recent re-introduction of this NDV genotype from Southeast or East Asia. This study further provides viral distribution and epidemiological data that can facilitate the effective control of NDV.
RANS Modeling of Turbulent Flow and Heat Transfer in a Droplet-Laden Mist Flow through a Ribbed Duct
Authors: Pakhomov Maksim A. , Terekhov Viktor I.
Published: November 2022

The local structure, turbulence, and heat transfer in a flat ribbed duct during the evaporation of water droplets in a gas flow were studied numerically using the Eulerian approach. The structure of a turbulent two-phase flow underwent significant changes in comparison with a two-phase flow in a flat duct without ribs. The maximum value of gas-phase turbulence was obtained in the region of the downstream rib, and it was almost twice as high as the value of the kinetic energy of the turbulence between the ribs. Finely dispersed droplets with small Stokes numbers penetrated well into the region of flow separation and were observed over the duct cross section; they could leave the region between the ribs due to their low inertia. Large inertial droplets with large Stokes numbers were present only in the mixing layer and the flow core, and they accumulated close to the duct ribbed wall in the flow towards the downstream rib. An addition of evaporating water droplets caused a significant enhancement in the heat transfer (up to 2.5 times) in comparison with a single-phase flow in a ribbed channel.
Optimization of a Laboratory Rainfall Simulator to Be Representative of Natural Rainfall
Authors: Fernández-Raga María , Rodríguez Indira , Caldevilla Pablo , Búrdalo Gabriel , Ortiz Almudena , Martínez-García Rebeca
Published: November 2022

The importance of understanding the effects of rainfall on different materials over time makes it essential to carry out controlled tests to reduce analysis time. Rainfall simulators have been in use for decades and have been implemented as technology and knowledge of the physical behavior of water advanced. There are two main types of rainfall simulators: gravity simulators and pressure simulators. In the former, the drop velocity is normally smaller than the terminal velocity reached by natural droplets; in the latter, the drop size is too small to be representative and has far more speed than the natural speed for those sizes. To solve this problem, a simulator has been developed where the terminal velocity of the raindrops is reached and the drop size can be varied by different nozzles of variable sizes, adapting it to the conditions of a given region. In this study, conditions similar to the rainfall conditions of the city of León have been achieved. This paper presents the design of a rainfall simulator that recreates different rainfall conditions and rainwater composition and its calibration process.
A Study on the Impact of Industrial Restructuring on Carbon Dioxide Emissions and Scenario Simulation in the Yellow River Basin
Authors: Liu Jianhua , Shi Tianle , Huang Liangchao
Published: November 2022

Based on a detailed analysis of the impact mechanism of industrial restructuring on carbon dioxide emissions in the Yellow River Basin, this paper first calculated the carbon dioxide emission data of 57 prefecture-level cities in the Yellow River Basin from 2009 to 2019 and constructed indicators from two dimensions: the advancement and the rationalization of the industrial structure. Then, the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model was used to empirically analyze the influencing factors of industrial structure adjustments on carbon dioxide emissions in the Yellow River Basin. Consequently, changing carbon dioxide emission trends in the Yellow River Basin under various scenarios were predicted. The research observed the following: (1) the eastern part of the Shandong Peninsula Urban Agglomeration and the Energy Golden Triangle have higher carbon dioxide emissions; (2) the advancement of industrial structures in the Yellow River Basin has a better emission reduction effect than the rationalization of industrial structures; (3) increased foreign investment will lead to an increase in carbon dioxide emissions in the Yellow River Basin, and a “Pollution Refuge Effect” will emerge; (4) accelerated industrial transformations and upgrades, high-quality economic development, and a moderate population growth rate are consistent with future development trends.
Autopercepção de queixas de memória e de qualidade do sono em universitários
Authors: Da Silva Roseno Antônio Vitor , Carvalho de Melo Crislaynne Kelly , Lopes da Silva Arthur José , Fernandes Pessoa Tayná , Alves de Santana Gabrielly , De Souza Santiago6 Libini Evelyn , Feitosa Montenegro Déborah Lúcia , Nadjara Almeida Larissa , Leidson Barbosa Lima Ivonaldo
Published: November 2022

Introdução. Para um bom funcionamento dos processos de memória é indispensável que o indivíduo tenha uma boa qualidade de sono. Com isso, uma má qualidade de sono pode impactar na memória dos estudantes universitários. Objetivo. Verificar a associação entre a autopercepção da qualidade do sono e das queixas de memória em jovens universitários. Método. Trata-se de um estudo de campo transversal, de caráter analítico, com abordagem quantitativa. A população do estudo foi composta por meio de uma amostra de 519 estudantes, selecionados por conveniência, não-probabilística, com média de idade de 22,9±5,5, sendo 408 mulheres 111 homens. Para a coleta dos dados, foram utilizados: o questionário de Memória Prospectiva e Retrospectiva para analisar as queixas de falha de memória; um questionário, elaborado pelos pesquisadores, para identificar as queixas de memória relacionadas ao ambiente acadêmico; e o Índice de qualidade do Sono de Pittsburg para verificar a qualidade do sono. Os dados foram analisados estatisticamente, de forma descritiva e inferencial, por meio do teste Qui-Quadrado, com p<5%. Resultados. Foi possível observar que os estudantes declaram ter uma boa qualidade do sono. Verificou-se que os estudantes que referem uma pior qualidade do sono sinalizaram uma maior frequência nas queixas de memória. Os participantes que acreditam que a rotina universitária provoca um aumento nas falhas de memória afirmaram ter uma qualidade do sono muito ruim. Conclusão. Há associação entre qualidade do sono e queixas de memória. Os discentes que referem uma pior qualidade do sono apresentam maior frequência nas queixas de memória.
Communication Strategy of Community Health Center’ Cadres in Preventing Stunting
Authors: Mardiansyah T.
Published: November 2022

Stunting is one of the five focuses of health problems that must be solved in Indonesia, this study aims to analyze the communication strategy of the Posyandu Cadre in Puuk Village in an effort to prevent stunting using quantitative methods. Data was collected by distributing questionnaires to 30 people in Puuk Village, then the data were analyzed by tabulation and scored and then explained descriptively. There are two sources of data, namely primary data by observing and distributing questionnaires and secondary data obtained from related institutions, books, journals or articles related to the research conducted. The focus studied on posyandu cadres will focus on communication strategies which include techniques, approaches, channels and communication messages. The results of this study are indicators of communication techniques on high criteria, indicators of communication approaches on medium criteria, on communication channel indicators on medium criteria and finally on indicators of communication messages on high criteria.
Exploring Parents' Attempt to Conduct Home Literacy Practices for Their Children
Authors: Nurafifah Shafa
Published: November 2022

In Indonesia, it is quite hard to find a study that raised the topic of home literacy even though the topic is very important to discuss. This research will provide an overview of how parents in Indonesia carry out home literacy practices with their children. Thus this research aimed to explore the types of home literacy practices by Indonesian parents. The researcher collected the data through an interview via Zoom meeting as a method of this research. The data were transcribed and codified under the theory of Burgees, Hect, and Lonigan (2002).  For analyzing the data, the researcher uses a thematic analysis. From the findings, it can be known that the mother played a big role in the sustainability of home literacy. While the father’s role in supporting and teaching the Quran or reciting Surah.   There are four roles in conducting home literacy as performed by the parents. These are the limiting environment, the literacy interface, the active home literacy environment, and the passive home literacy environment.
Implementation of Contextual Learning Models to Improve Poetry Writing Skills Based on Ecoliteracy at Elementary School
Authors: Afiani Annisa , Aryanto Sani , Gumala Yosi
Published: November 2022

Writing is one of the language skills. In learning Indonesian, writing skills are needed, one of which is in learning to write poetry. Writing a poem is one of the skills that must be possessed in learning Indonesian, but there are still many students who lack the ability to write a poem. The main factor causing the low skills of students in writing poetry because the learning model applied is less varied. This study aims to describe the planning, implementation, and results of learning to write poetry based on ecoliteracy in fourth grade students of SDN Karang Anyar 03 by using a contextual learning model. Through the application of contextual learning models, students become more active in participating in learning. By giving students the freedom to learn outside the classroom, students will be more enthusiastic and enthusiastic in learning, especially when writing a poem. It also provides meaningful learning for students, especially related to ecoliteracy that is close to students' real lives. The type of research used is Classroom Action Research using the Kemmis and McTaggart models, the stages of research carried out are planning, implementation, action and observation, and reflection. This research was conducted in 2 cycles. Each cycle consists of 3 meetings. The research subjects were fourth grade students at SDN Karang Anyar 03 with a total of 24 students. Data collection techniques used are tests, interviews, observations, and documentation studies. The data analysis technique uses a combined design or qualitatively and quantitatively. The results of the research that have been carried out show that the contextual learning model can improve the poetry writing skills based on ecoliteracy in fourth grade students. This is indicated by the increase in the class average value in the Pre-cycle, Cycle I, and Cycle II. In the pre-cycle, the class average value was 62.3, then it increased in the first cycle to 64.5 and increased again in the second cycle by 76.0. In cycle II, classical completeness was in the very high category because 87% of students scored above the KKM.
Word, Self, and Silence in Samuel Beckett
Authors: Gami Loran
Published: November 2022

The article focuses on the relationship between language and self in Samuel Beckett and explores how the writer both represents and undermines the concept of self as contingent on words. Issuing from the ego and ultimately leading to the ego, language in Beckett is arbitrary and tautological, and solipsism seems to be the inevitable result. Beckett shares a deep skepticism of language with such philosophers as Fritz Mauthner and Ludwig Wittgenstein. It is however difficult, if not outright impossible, to determine the degree of influence that their ideas might have had on Beckett. Rather than rigorously using them as theoretical bases which might serve as a key to ‘unlocking’ Beckett, the article eclectically makes use of them, seeing them as springboards for a better understanding of his work. The article also discusses how Beckett transcends the idea of solipsism. In his plays and prose works there is a radical annihilation of the self, and the concept of a unified ego is undermined. Several characters/narrators/voices speak with a voice they cannot claim as their own and often they do not even relate to themselves with the pronoun ‘I’. Since language is an arbitrary and inadequate system, silence seems to be the inevitable result and, possibly, escape.
Graf Prima pada Ring
Authors: - Nurahmi Purnamasari , Lapenangga Putra Ganesha , Ginting Keristina Br
Published: November 2022

Graf prima pada ring yang dinotasikan dengan merupakan graf yang terdiri atas pasangan terurut (V,E) dimana himpunan sisinya adalah dan himpunan titiknya adalah . Untuk ring prima, maka merupakan graf bintang atau dapat pula dikatakan untuk bilangan prima, graf bintang. Selain mendefinisikan graf prima, pada tulisan ini akan dijelaskan karakteristik dari graf prima pada ring seperti bentuk graf jika adalah ring domain dengan , menjelaskan karakteristik misalkan adalah ring semiprima, maka juga merupakan ring prima dimana graf yang dibentuk adalah graf bintang yang juga merupakan graf pohon dan jika adalah graf pohon maka adalah ring prima, serta menentukan jumlah subgraf yang berbeda pada graf . Selanjutnya tulisan ini dapat dilanjutkan untuk melihat bentuk graf dan banyaknya segitiga pada ring dengan adalah sebarang bilangan bulat.

Kata Kunci : Graf prima, ring prima, ring domain, ring semiprima, graf bintang
METODE REGRESI DATA PANEL UNTUK PEMODELAN INDEKS PEMBANGUNAN MANUSIA (IPM) DI PROVINSI NUSA TENGGARA TIMUR
Authors: Henukh Christa , Atti Astri
Published: November 2022

Indeks Pembangunan Manusia (IPM) merupakan indikator penting yang digunakan pemerintah untuk mengukur keberhasilan dalam upaya membangun kualitas hidup manusia, dan juga untuk menentukan peringkat/level pembangunan suatu wilayah/negara. Analisis regresi data panel merupakan gabungan antara data cross section dan times series. Terdapat tiga estimasi model regrsi data panel yaitu Common Effect Model, Fixed Effect Model dan Random Effect Model. Penelitian ini membahas tentang regresi data panel menggunakan data Indeks Pembangunan Manusia di Provinsi Nusa Tenggara Timur pada Tahun 2016 hingga 2020. Tujuan dari penelitian ini adalah menentukan model terbaik dalam analisis regresi data panel dan mengetahui faktor-faktor apa saja yang paling berpengaruh terhadap Indeks Pembangunan Manusia di Nusa Tenggara Timur. Hasil penelitian menunjukkan bahwa model terbaik adalah fixed effect model. Variabel angka harapan hidup, harapan lama sekolah, rata-rata lama sekolah dan produk domestik bruto mampu menjelaskan IPM di Provinsi NTT sebesar 99,9%.

Kata kunci: IPM, Regresi Data Panel, Fixed Effect Model
A ressurreição de Jesus na visão de Wolfhart Pannenberg: uma análise do discurso religioso
Authors: Oliveira David Mesquiati de
Published: November 2022

Neste artigo buscou-se fazer uma análise do discurso religioso sobre a ressurreição de Jesus a partir do pensamento de Wolfhart Pannenberg, um dos maiores teólogos protestantes contemporâneos. Pannenberg sustenta que a ressurreição de Jesus teve um caráter revelador e universal, porquanto antecipou o fim da história universal. Esse teólogo deu-se a conhecer opondo-se ao programa desmitologizador de seu mestre R. Bultmann, afirmando que revelação e história são categorias teológicas significativas e que a ressurreição de Jesus é o eixo sobre o qual gira todo o cristianismo.
O fenômeno religioso em ambiente escolar na perspectiva de M. Eliade e E. Durkheim
Authors: Pegorette Josemar Francisco
Published: November 2022

O presente artigo busca apresentar a importância do fenômeno religioso no ambiente escolar, nas perspectivas da filosofia da religião, em conjunto com a descrição realizada pela sociologia. Buscou-se nesse aspecto, reportar-se ao construto teórico de Mircea Eliade e Émile Durkheim, apresentando um panorama introdutório dos conceitos, servindo de base para aprofundamentos futuros dos estudos de religião, a partir de uma visão centrada na dimensão de pertinência da religião e dos fenômenos religiosos nos espaços públicos, como subjacente à dimensão humana.
“Experiência do sagrado” e “religião” – hiperonomia hermenêutica e atualização cultural – análise do prefácio de Origens, de Mircea Eliade
Authors: Ribeiro Osvaldo Luiz
Published: November 2022

Movimento parcial da análise do conceito de “sagrado” em Mircea Eliade. Análise crítico-interpretativa do Prefácio de Origens (The Quest), de Mircea Eliade. Tentativa de compreender a fórmula eliadeiana – “o sagrado é um elemento da estrutura da consciência” tendo o Prefácio como contexto. Ensaio de proposta e análise do conceito de “sagrado” como hiperônimo em relação às suas atualizações religioso-mitológicas na forma de deuses e similares.
A complexidade da práxis do ensino religioso escolar no Brasil frente ao laicismo do Estado
Authors: Bezerra Nemerite dos Santos
Published: November 2022

O presente artigo procura discorrer brevemente sobre a práxis do Ensino Religioso Escolar no Brasil e sua complexidade diante da laicidade do Estado. A prática do Ensino Religioso no Brasil vigora legitimado por lei e está presente no espaço da nação desde a colonização portuguesa, apresentando parâmetros controversos em sua práxis. Inicialmente esteve vinculado a religião predominante da colônia. Embora diversas mudanças tenham ocorrido, o catolicismo manteve as balizas que regiam a prática educacional da religião no país. O Ensino Religioso apresenta uma práxis complexa e por isso é digna de ser averiguada e discutida.