bluuebunny/crossref_metadata_2025 huggingface dataset:
Morphological and molecular identification of arrhenotokous strain of Diglyphus wani (Hymenoptera, Eulophidae) found in China as a control agent against agromyzid leafminers
Authors: Du Su-Jie , Yefremova Zoya , Ye Fu-Yu , Zhu Chao-Dong , Guo Jian-Yang , Liu Wan-Xue
Published: November 2021

Diglyphus species are ecologically and economically important on agromyzid leafminers. In 2018, a thelytokous species, Diglyphus wani Liu, Zhu & Yefremova, was firstly reported and described. Subsequently, the arrhenotokous D. wani were discovered in Yunnan and Guizhou Provinces of China. We compared the morphological characteristics of thelytokous and arrhenotokous strains. However, the females of two strains had a strongly similar morphology and showed subtle differences in fore- and hind-wings. The difference was that forewing of arrhenotokous female was with denser setae overall, showing that costal cell with 2 ~ 4 rows of setae on dorsal surface and the setae of basal cell with 15 ~ 21 hairs and forewing of thelytokous female was with two rows of setae on dorsal surface and basal cell with 10 ~ 15 hairs generally. The setation beneath the marginal vein of the hind-wing of arrhenotokous female is denser than the same area of thelytokous female. To explore the genetic divergence between thelytokous and arrhenotokous strains of D. wani, the mitochondrial and nuclear gene were applied and sequenced. The polygenic analyses revealed that two strains can be distinguished by COI, ITS1 and ITS2. The mean sequence divergence between the two strains was 0.052, 0.010 and 0.007, respectively. Nevertheless, the 28S gene was unfeasible due to its containing a sharing haplotype between different strains. The two strains of D. wani are dominant parasitoids against agromyzid leafminers and such effective discernible foundation provides future in-depth studies on biological characteristics, along with insight into field application of two strains of D. wani.
Multiplicity of closed Reeb orbits on dynamically convex $ \mathbb{R}P^{2n-1} $ for $ n\geq2 $
Authors: Liu Hui , Zhang Ling
Published: November 2021

In this paper, we prove that there exist at least two non-contractible closed Reeb orbits on every dynamically convex \begin{document}$ \mathbb{R}P^{2n-1} $\end{document}, and if all the closed Reeb orbits are non-degenerate, then there are at least \begin{document}$ n $\end{document} closed Reeb orbits, where \begin{document}$ n\geq2 $\end{document}, the main ingredient is that we generalize some theories developed by I. Ekeland and H. Hofer for closed characteristics on compact convex hypersurfaces in \begin{document}$ {{\bf R}}^{2n} $\end{document} to symmetric compact star-shaped hypersurfaces. In addition, we use Ekeland-Hofer theory to give a new proof of a theorem recently by M. Abreu and L. Macarini that every dynamically convex symmetric compact star-shaped hypersurface carries an elliptic symmetric closed characteristic.
Iris-Fingerprint multimodal biometric system based on optimal feature level fusion model
Authors: Kamlaskar Chetana ,   School of Science and Technology, Y C M Open University, Nashik, 422222, MH, India, Abhyankar Aditya ,   Department of Technology, SP Pune University, Pune 411007, MH, India
Published: November 2021

For reliable and accurate multimodal biometric based person verification, demands an effective discriminant feature representation and fusion of the extracted relevant information across multiple biometric modalities. In this paper, we propose feature level fusion by adopting the concept of canonical correlation analysis (CCA) to fuse Iris and Fingerprint feature sets of the same person. The uniqueness of this approach is that it extracts maximized correlated features from feature sets of both modalities as effective discriminant information within the features sets. CCA is, therefore, suitable to analyze the underlying relationship between two feature spaces and generates more powerful feature vectors by removing redundant information. We demonstrate that an efficient multimodal recognition can be achieved with a significant reduction in feature dimensions with less computational complexity and recognition time less than one second by exploiting CCA based joint feature fusion and optimization. To evaluate the performance of the proposed system, Left and Right Iris, and thumb Fingerprints from both hands of the SDUMLA-HMT multimodal dataset are considered in this experiment. We show that our proposed approach significantly outperforms in terms of equal error rate (EER) than unimodal system recognition performance. We also demonstrate that CCA based feature fusion excels than the match score level fusion. Further, an exploration of the correlation between Right Iris and Left Fingerprint images (EER of 0.1050%), and Left Iris and Right Fingerprint images (EER of 1.4286%) are also presented to consider the effect of feature dominance and laterality of the selected modalities for the robust multimodal biometric system.
Real-Time Monitoring of Smart Meters Based on Blockchain Technology
Authors: Ramesh K. , Madasu Satya Dinesh , Kasireddy Idamakanti
Published: November 2021

In this chapter, the authors primarily discuss how blockchain is being utilized in smarter grids across the globe and how some use cases can be a good fit as a technology. They ensure the reliability and uninterrupted power supply to end users by using smart metering in micro and macro grids, which is possible with novel technology that is transparent and without any cyberattacks/hackers: blockchain technology (BCT). In this chapter, BCT is implemented significantly at micro/macro smart grid network. Such a network would give efficient improvement and be interesting.
One Health and Information Management Using Big Data in Health
Authors: Netto Joaquim Teixeira , Hartz Zulmira , de Magalhães Jorge Lima
Published: November 2021

In an increasingly connected world, information regarding the contagion and spread of COVID-19 has been an important weapon to enable better coping with the disease. The use of information technology can assist in the prevention, care, and monitoring of patients. In addition, remote service using applications avoids the overload of health centers and contagion. This research reports the experience of a research project initiated in Brazil at the Oswaldo Cruz Foundation, with the objective of developing an application and big data for the new coronavirus in a public health clinic using information management and One Health concepts. Initially, the application requirements were defined through interviews with users and health professionals. The partial results obtained so far demonstrate improvements in the different processes of the health center with the use of the application. The use of big data for the analysis of information makes it possible to define better health policies for the population in a more precise way and in a shorter time.
Machine Learning-Based Approach for Predictive Analytics in Healthcare
Authors: Hegde Sandeep Kumar , Mundada Monica R.
Published: November 2021

In this internet era, due to digitization in every application, a huge amount of data is produced digitally from the healthcare sectors. As per the World Health Organization (WHO), the mortality rate due to the various chronic diseases is increasing each day. Every year these diseases are taking lives of at least 50 million people globally, which includes even premature deaths. These days, machine learning (ML)-based predictive analytics are turning out as effective tools in the healthcare sectors. These techniques can extract meaningful insights from the medical data to analyze the future trend. By predicting the risk of diseases at the preliminary stage, the mortality rate can be reduced, and at the same time, the expensive healthcare cost can be eliminated. The chapter aims to briefly provide the domain knowledge on chronic diseases, the biological correlation between theses disease, and more importantly, to explain the application of ML algorithm-based predictive analytics in the healthcare sectors for the early prediction of chronic diseases.
A Survey on Building Recommendation Systems Using Data Mining Techniques
Authors: Ssemwogerere Rajab , Faruk Wamwoyo , Mutwalibi Nambobi
Published: November 2021

Classification is a data mining technique or approach used to estimate the grouped membership of items on a basis of a common feature. This technique is virtuous for future planning and discovering new knowledge about a specific dataset. An in-depth study of previous pieces of literature implementing data mining techniques in the design of recommender systems was performed. This chapter provides a broad study of the way of designing recommender systems using various data mining classification techniques of machine learning and also exploiting their methodological decisions in four aspects, the recommendation approaches, data mining techniques, recommendation types, and performance measures. This study focused on some selected classification methods and can be so supportive for both the researchers and the students in the field of computer science and machine learning in strengthening their knowledge about the machine learning hypothesis and data mining.
Determinants of inorganic fertilizer use by smallholder farmers in South Wollo and Oromia special administrative zones, Ethiopia
Authors: Adisalem Samuel Tadesse , Dinku Amare Molla
Published: November 2021

The study investigated the determinants of fertilizer use by smallholder farmers. Data were drawn from 207 smallholder farmers, experts, and respective office heads using structured and semi-structured interview schedules, Key informant interviews and focus group discussions. Data were analysed using percentage, mean and standard deviation and linear regression model. About 94% of the farmers had the willingness to apply inorganic fertilizer on their farmland. An increasing price of inorganic fertilizer (96%), poor demand estimation (82%), delay in distribution (78%), lack of attention for the irrigation production system (65%), and unfair distribution/nepotism (61%) are the top-ranked challenges affecting inorganic fertilizer use. The existence of more active labour forces in the family (dy/dx = 20.4, t = 2.49), farmsize (dy/dx = 14.53, t = 3.82), ownership (dy/dx = 75 .13, t = 10.64), total income (dy/dx = 0.00024, t = 2.24), use of credit service (dy/dx = 31.11, t = 1.94), and frequency of extension contact (dy/dx = 24.60, t = 2.07), were found significantly promoting the amount of fertilizer use by smallholder farmers. Actions such as real demand estimation, arranging agricultural implements, and fertilizer subsidy for resource-poor farmers should be implemented to ensure food self-sufficiency.
Knowledge of extension agents on climate smart agricultural initiatives in South-West Nigeria
Authors: Olorunfemi Oluwasogo David , Olorunfemi Temitope Oluwaseun , Oladele Oladimeji Idowu , Malomo James Olorunfemi
Published: November 2021

This study examined the knowledge level of extension agents on six classes of climate smart adaptation initiatives (CSAI). A multi-stage sampling procedure was utilized to collect data from 277 agents in South-West Nigeria with the aid of a structured questionnaire. Data were descriptively analysed using frequency counts, percentages and means. The result showed that extension agents were knowledgeable on crop-mix (56.3%) and tillage-smart (53.4%) related initiatives with more than half of them scoring above the mean benchmark. However, they had a low knowledge level on the majority of the water management (59.2%), fossil-burning (94.2%), soil (75.8%), ICT and other adaptive initiatives (98.9%) as the majority of them scored below the mean benchmark for each of these categories. Seminars and workshops should be provided by extension organizations for these agents to upgrade their knowledge on these initiatives, thus positioning them to effectively be able to render needed advisories to farmers. This will equip farmers to be adept in responding adequately to managing climate change risks and also scale-up their use of CSAI.
Protective effect of S-allyl cysteine against cerebral ischemia/reperfusion injury in experimental rats
Authors: Liu Xing , Wang Fang , Han Qian , Zhao Linshan
Published: November 2021

Purpose: To investigate the protective effect of S-allyl cysteine (SAC) against cerebral ischemiareperfusion injury (CRI) in rats.Methods: The protective effect of SAC was determined in a male Wistar rat model of middle cerebral artery occlusion (MCAO)-stimulated transient focal ischemia, followed by reperfusion. Cerebral ischemia reperfusion injury was induced via 90 min of MCAO, followed by 24-h reperfusion. The cerebral infarct size was determined by staining with 2,3,5- triphenyl tetrazolium chloride. The onset of cellular derangement, neurological deficit score and neuronal oedema were determined. In addition, the expressions of CRI markers and inflammatory cytokines were measured by enzyme-linked immunosorbent assay (ELISA).Results: Rats subjected to CRI showed marked increases in cellular oxidative stress, as evidenced by significant increase in the levels of inflammatory markers, including MDA (p < 0.05), MPO (p < 0.05) and nitric oxide (p < 0.01). In addition, CRI increased the mRNA expression levels of the marker genes TLR4, syndecan-1, CSF, aquaporin-1, OCT3, and RFX1. In contrast, rats pre-treated with SAC prior to CRI displayed reduced levels of inflammatory cytokines, with a near-normal cellular arrangement. SAC treatment significantly reduced the mRNA expression levels of the marker genes in CRI rats.Conclusion: These findings suggest that SAC may protect the brain of rats from cerebral ischemiareperfusion injury caused by amplification of oxidative stress and inflammatory signaling. Thus, S-allyl cysteine is a potential therapy for the management of CRI.
Oxytocin protects neurons from hypoxic-ischemic brain injury by enhancing inhibitory neurotransmission in neonatal rats
Authors: Xiang Linhua , Wu Rong , Liu Kangling , Wang Jing
Published: November 2021

Purpose: To study the protective effect of oxytocin on hypoxic-ischemic brain neuron injury in neonatal rats, and the mechanism of action involved.Methods: Hippocampal slices from neonatal SD rats were cultured in oxygen/glucose-deprived (OGD) solution, leading to establishment of hypoxic-ischemic model of hippocampal slices in vitro. The slices were assigned to 3 groups: control (ACSF solution), model (OGD solution), and oxytocin (OGD solution + 1 μM oxytocin). The effect of oxytocin on vertebral neurons in hippocampal CA1 region of HIBD rats was determined using TOPRO-3 staining, while the effects of oxytocin on hypoxic depolarization (AD) and inhibitory postsynaptic currents (iPSCs) were measured by cell patch clamp technique.Results: The fluorescence intensity of vertebral lamina in hippocampal CA1 area of model group was significantly higher than that of control group, while the corresponding value for oxytocin group was significantly lower than that of model group (p < 0.05). The time lapse before occurrence of AD in hippocampal CA1 area was significantly longer in oxytocin group than in model group, while the time lapse before neuronal AD in oxytocin receptor antagonist group was lower than that in oxytocin group. The frequency and amplitude of iPSCs in oxytocin group were markedly higher than the corresponding control values.Conclusion: Oxytocin exerts protective effect against hypoxic-ischemic brain neuronal damage in neonatal rats by regulating the activation of oxytocin receptor and GABA receptor, and inhibiting nerve transmission. These findings may be of benefit in the development of a suitable therapy for HIBD.
The propagation velocity of seismic activity migrating along the directions of the geodynamic forces prevailing in the northeastern Baikal rift system, Russia
Authors: Olga F. Lukhneva  , Anna Vladimirovna Novopashina
Published: November 2021

The recent tectonic stress field in the northeastern Baikal rift system (BRS) corresponds to the crustal deformation field. The stress-strain state of the Earth’s crust determines the fault network geometry and spatiotemporal structure of the epicentral field characterized by many earthquake swarms and earthquake migrations in the study area. In order to study the seismic process dynamics in different directions of the crustal deformation, the spatiotemporal analysis of earthquake time series has been made over the 1964–2015 instrumental period. To determine the relationship between crustal stress and spatiotemporal features of the epicentral field the seismic data were projected along horizontal stress tensor axes σ3 and σ2, consistent with major directions of the crustal deformation, a strike of major rifting structures, and a general azimuth of active fault groups. The NE-SW direction along the intermediate horizontal stress axes and main faulted arears exhibits slow earthquake migrations up to 60 km long, propagating with a modal velocity of about 30 kilometers per year. The NW-SE direction along the principal horizontal stress axes, orthogonal to the main faulted areas, is characterized by shorter migration sequences of less duration, propagating with a higher velocity than sequences registered in the NE-SW. The difference between the migration dynamics in mutually orthogonal directions can be attributed to the fault network configuration and the differences in the deformation process.
Finitely generated subgroups of free groups as formal languages and their cogrowth
Authors: Darbinyan Arman , Grigorchuk Rostislav , Shaikh Asif
Published: November 2021

For finitely generated subgroups $H$ of a free group $F_m$ of finite rank
$m$, we study the language $L_H$ of reduced words that represent $H$ which is a
regular language. Using the (extended) core of Schreier graph of $H$, we
construct the minimal deterministic finite automaton that recognizes $L_H$.
Then we characterize the f.g. subgroups $H$ for which $L_H$ is irreducible and
for such groups explicitly construct ergodic automaton that recognizes $L_H$.
This construction gives us an efficient way to compute the cogrowth series
$L_H(z)$ of $H$ and entropy of $L_H$. Several examples illustrate the method
and a comparison is made with the method of calculation of $L_H(z)$ based on
the use of Nielsen system of generators of $H$.
PERFORMANCE COMPARISON AND OUTDOOR MONITORING OF SMOOTH AND TEXTURED COVER GLASS FOR SOLAR MODULES OF UP 6 YEARS EXPOSED
Authors:   Assane Seck University, 21000, Ziguinchor, Senegal, Faye Issa , Ndiaye Ababacar , Blieske Ulf ,   Cologne Institute ofrenewable energy, 50679, Cologne, Germany, Gecke Rudolph , Kobor Diouma
Published: November 2021

Solar modules are being built with nearly the same configuration for decades now. The front is covered with a tempered glass pane. The performance of a PV module can be increased by the texturation of the front side. One of the major requirements for front cover glasses is their high optical transmission. One option to boost transmission is texturing the front surface in a similar manner to crystalline solar cell. Another advantage of a textured glass is the fact that the reflected light beam at normal incidence has a second chance of being transmitted to the solar cell. Furthemore, the texturation of front cover glass might collect more dust and soiling than a flat glass surface. Due to this concern, the soiling effect of module covered with textured cover Alberino P glass after long-term exposed will investigated in this work. The modules presented in this work have the same characteristics in STC (i.e short circuit current, open circuit voltage and maximum power point). Electroluminescence, I-V and P-V characteristic are the method used to detect faults on the PV module. The results show a loss of PV performance with textured cover glass is l,72% higher than the reference module in other hand the increase of serie resistance is also observed in both modules
NOVEL APPROACH BASED ON ARTIFICIAL NEURAL NETWORKS (ANN) FOR CONTROLLING THE THREE-PHASE INVERTER OF A PHOTOVOLTAIC SYSTEM
Authors:   Research team, efficiency and energetic system, UADB, Gueye Daouda , Ndiaye Alphousseyni ,   Renewable energy laboratory, polytechnic higher school-UCAD, Diao Amadou ,   Faculty ofScience and Technic, UCAD
Published: November 2021

This paper is devoted to the study of a photovoltaic system connected to the grid. The objective is to provide a novel approach based on artificial neural networks for Controlling the three-phase invelter in order to ensure a flexible injection to unity power factor and low total harmonic dist01tion. A modeling system established mathematical models of the invener and the DC link. A control in the synchronous reference direct and quadratic frame by a neural proportional integral derivative based on back propagation of gradient descent is offered to regulate respectively the dc link voltage and the injected cunents in order to overcome the limitations ofthe experimental tuning (Ziegler-Nichols) of the classical PID controller parameters. Simulation results from the system under the Matlab / Simulink environment prove the efficiency of the proposed method and show that the currents injected have the best sinusoidal fonn with a cunent Total Harmonic Distortion of 0.96 % and a net followed of the dc link voltage.
Influencia del tratamiento térmico (tostado) en semillas de chía sobre su calidad nutrimental
Authors: Martínez-manrique Enrique , Jiménez-vera Verónica
Published: November 2021

La chía fue una semilla muy consumida por los Mayas y Aztecas; ellos la utilizaban tostada y molida para la preparación de bebidas o para conservarla. Por eso, hoy en día el tostado de la semilla puede ser una opción  para mejorar su molienda y aumentar su consumo, pues este grano tiene una alta calidad nutrimental, pero las altas temperaturas podrían afectar esta cualidad. Por esto, se planteó estudiar si la chía disminuye su calidad nutrimental al ser sometida a un tratamiento térmico (tostado); realizando el tostado de la semilla a diferentes tiempos y evaluando su composición química proximal, digestibilidad in vitro, triptófano y  factores antinutrimentales. Los resultados mostraron que a mayor tiempo de tostado disminuye su contenido de proteína, grasa y fibra; aumenta su digestibilidad y disminuye el triptófano y sus factores antinutrimentales.
Utilization of Instagram: Efforts to Introduce Publishing Study Program and Publishing Works to the Community
Authors: Amelia Diah , Akmalia Nurul
Published: November 2021

This article discusses the selection of Instagram as a promotional medium in introducing the Creative Media State Polytechnic Publishing study program and publishing works. Information such as photos or videos of work products, pictures of learning activities, and other activities added to the Instagram account. This information can be seen by followers and can get a response or input directly. The study used qualitative research methods with a descriptive approach. The theory used is New Media and Internet theory, Social Media theory, and Marketing Communication theory. The study results explain that the use of Instagram significantly facilitates the spread of messages quickly and reaches more people. The content on the Instagram account @prodi.penerbitan.polimedia follows the institution's image but still has to be packaged in an attractive style and design and has new value.
INTRIGUING PREDICTORS ASSOCIATED WITH MALARIA INFECTION AMONG PREGNANT WOMEN IN MT. ELGON SUB COUNTY, KENYA
Authors: Cyrus Ashivira , Grace Kibet , Lonah Kabutbei
Published: November 2021

Introduction: Universally, malaria continues to ravage the lives of innocent expectant women. In Kenya malaria prevalence among adult females is 28% while in Mt. Elgon Sub County, which is categorised under highland epidemic prone malaria area, prevalence of malaria in pregnancy (MiP) is uncertain. Therefore, this study sought to determine intriguing predictors associated with malaria infection among pregnant women in Mt. Elgon Sub-County.

Methods: Cross-sectional analytical design was employed and mixed methods used for data collection. For quantitative data collection, semi-structured questionnaire was used to collect primary data from pregnant women who attended ANC in selected health facilities in the study area. Further, qualitative approach adopted interview guides that targeted key informants in the health facilities. Systematic random sampling method was used to select 392 participants for the study. Data was analysed by SPSS version 25.0.  Bivariate logistic regression analysis was used to test the association between independent variable and dependent variable.

Findings:  Study results revealed that, the prevalence of MiP was 16.2%. Prevalence was higher among women aged less than 25 (67.3%, n=262) compared to those aged > 25 years (33.7%, n=137). The following five factors were statistically significantly associated with malaria prevalence in pregnancy: place of residence (OR: 5.7; 95%CI: 2.6 – 12.4; p < 0.0001); those who tested positive in the last 2 years (OR: 1.7; 95%CI: 1.0 – 2.9; p = 0.05); preferred shape of ITN’s (OR: 3.8; 95%CI: 1.5 – 9.7; p = 0.008);earth floor (OR: 1.8; 95%CI: 1.0 – 3.1; p = 0.03);  mud wall (OR: 1.8; 95%CI: 1.0 – 3.1; p = 0.03). In conclusion, age group, place of residence, testing positive in the last 2 years, preferred shape of ITN, earth floor and mud wall were significant factors associated with MiP.

Recommendations: To curb MiP, the study recommends Bungoma County government to promote use of ITNs and preferable rectangular ITN’s by ensuring they are translated to appropriate use; support regular indoor residual spraying with insecticides and educate the residents on the role of improved housing on malaria protection and empowerment of the community to adopt improved housing.
DESENVOLVIMENTO DE DIABETES MELLITUS PÓS COVID CAUSAS E EFEITOS
Authors: Caproni Luana Marcondes Emergente , Carneiro Lara de Brito , Madeira Leticia Alves , Soares Jahde Abbehusen , Costa e Silva Leonardo Antônio , Machado Melissa Ávila , Silvério Alessandra Cristina Pupin
Published: November 2021

Introdução: A associação entre COVID-19 e Diabetes Mellitus 2 (DM2) é evidenciada pela afinidade entre o vírus SARS-CoV-2 por sítios de ligação da Enzima Conversora da Angiotensina 2 (ACE2). A ACE2 é uma molécula expressa em abundância em células do endotélio, dos pulmões e outros órgãos, inclusive nas ilhotas pancreáticas. Objetivo: Realizar uma análise na literatura atual sobre os casos de infecção pelo COVID-19 responsáveis pelo desencadeamento de DM2. Materiais e métodos: Trata-se de uma revisão de literatura sistemática. Foram incluídos artigos selecionados das bases de dados Pubmed, Google Acadêmico e Scielo, no período de março de 2020 até março de 2021. Para a pesquisa, utilizou-se os termos: “Covid 19”, “Hiperglicemia”, “Diabetes Mellitus”, “ACE2”, “mecanismo Sars-Cov-2”, com Descritores em Ciências da Saúde (DeCS) padronizados e combinados entre si por operadores booleanos. Após os critérios de inclusão e exclusão, foram selecionados 16 artigos para revisão. Resultados: A afinidade por receptores ACE2 permite que o SARS-CoV-2 atue sobre o pâncreas, podendo levar à resistência periférica à insulina e, assim, a uma hiperglicemia. Na maioria dos casos, a condição não é resolvida no final da doença, levando a DM2. Conclusão: Dado que o ACE2 é um receptor para a entrada do SARS-Cov-2 em diversos tecidos, inclusive nas ilhotas pancreáticas, pessoas com maior expressão deste na superfície celular têm maior chance de infecção por COVID-19. Ademais, é provável que a quantidade de receptores ECA2 glicosilados exerça influência nesse processo.  Dessa forma, uma das complicações de COVID-19 pode ser o desenvolvimento de DM2.
Orhan Pamuk’un Masumiyet Müzesi ve Erkek Hegemonyasının Görünümleri
Authors: DEMİR Erdi
Published: November 2021

Çalışmanın konusu, dünya çapında geniş bir okuyucu kitlesine sahip, Nobel Ödüllü Türk yazar Orhan Pamuk’un Masumiyet Müzesi isimli yapıtında ataerkillik normlarının görünüm ve temsilleri ile ilgilidir. 2008 yılında yayımlanan Masumiyet Müzesi, 1970’li yıllar Türkiye’sinde azınlıklar, kültür ve kimlik çatışması, gelenek-modern ikilemi, statükoculuk ve toplumsal yapı gibi temaları içermektedir. Yapıt, namus, bekâret, ahlak, toplumsal cinsiyet ve ataerkillik kavramları açısından zengin bir veri kaynağı sunmaktadır. Çalışmada, tarama modeli kullanılarak geçmişte var olan konu, durum, bireyler kendi koşulları çerçevesinde betimsel olarak tanımlanmıştır. Tarama modeliyle toplanan veriler içerik analizi yöntemiyle incelenerek sosyolojik olarak derinlemesine yorumlanarak özetlenmiştir. İçerik analizi, sistematik olmayan doküman ve verilerin sistematik ve anlamlı bir bütün halene getirme işlemidir. Mevcut çalışmada anlam ve içerik bakımından benzerlikler taşıyan veriler temalarına ve anlamlarına göre sınıflandırılmış, aynı anlama ve benzer kodlara sahip veriler bir araya getirilerek temalar oluşturulmuştur. Bulgu olarak, Pamuk’un toplumsal yapı, gelenekler, ahlaki normlar, toplumsal cinsiyet normlarından beslenerek yaşam biçimleri üzerinden erkek egemenliğini ve ataerkil iktidarı tesis ettiği anlaşılmıştır. Karakterlerin üstlendikleri toplumsal roller ve eylem biçimleri bağlamında olayların nesnelerinin kadın karakterler olduğu, erkek karakterlerin hiyerarşik ve baskın bir tutumla temsil edildikleri anlaşılmıştır. Ayrıca kadın karakterlerin sosyal, mesleki ve ekonomik profillerinin erkek karakterlerden düşük düzeyde olduğu, modernlik, namus, bekâret ve ahlak kavramlarının tek yanlı kadın karakterler üzerinden sunulduğu görülmüştür. Yapıt, ataerkil normların görünüm ve temsilleri açısından oldukça zengin bir içeriğe sahiptir.
Guiding Principles for the Assessment of Arts Learning: A Discussion Draft Created by Delegates at the 10th World Summit on Arts Education October 11-15, 2021
Authors: Brophy Timothy , Krieger Cobi , Leite Maria Cristina , McCaffrey Marcia , Wolf Dennie Palmer , Poulin Jeff M.
Published: November 2021

From October 11-15, 2021, the World Alliance for Arts Education’s Executive Forum authorized the 10th World Summit on Arts Education to be hosted by the University of Florida and the State Education Agency Directors of Arts Education (SEADAE). During the 2021 Virtual World Summit, titled Arts Impact: Context Matters, over 200 delegates from twenty-six nations on all six continents gathered to network, share research, and examine the multiple and varied ways in which arts assessments are designed and implemented around the world. Throughout the Summit, multiple discussions by various groups of delegates resulted in rich sets of qualitative data that were analyzed and interpreted daily by the conference leaders and rapporteur. These analyses were used to modify and update the concepts and ideas found within the resulting "Guiding Principles for the Assessment of Arts Learning."
Risk Factors for Typhoid Fever Occurrence and Recurrence in Gombe Metropolis, Gombe State, Nigeria
Authors:   Department of Biology, Universiti Putra Malaysia, 43400 Selangor, Malaysia., Tawfiq Umar Abdullahi ,   Department of Microbiology, Gombe State University, 760214 Tudun Wada Gombe, Gombe State, Nigeria., Shamarina Shohaimi ,   Department of Biology, Universiti Putra Malaysia, 43400 Selangor, Malaysia., Amin Nordin Syafinaz ,   Faculty of Medicine and Health Science, Universiti Putra Malaysia, 43400 Selangor, Malaysia., Mohd Nadzir Mohd Noor Hisham ,   Department of Biology, Universiti Putra Malaysia, 43400 Selangor, Malaysia., Salari Nader ,   Department of Biostatistics, School of Public Health, Kermanshah University of Medical Sciences, Iran.
Published: November 2021

Typhoid is a life-threatening disease that has remained endemic in parts of Africa and Asia where its burden is elevated by the inefficiency of control efforts which have been hampered by lack of epidemiological data, among others. In Nigeria, such data is absent in most of the States like Gombe where the disease has been rife for a long time, hence, to bridge that knowledge gap, this study was set up to determine the host-associated risk factors for typhoid occurrence and recurrence in Gombe. A questionnaire that was designed and validated for this location was used to obtain data from 663 respondents using simple random sampling and analyzed using the Chi-square test for association and binomial logistic regression to obtain risk factors for typhoid occurrence and recurrence, respectively. The study revealed that occurrences were statistically significantly associated with the variables for vaccination (χ2 = 39.729, p < 0.01), having houseboy/girl (χ2 = 16.909, p < 0.01), typhoid patient at home (χ2 = 13.393, p < 0.01), hand washing before handling food (χ2 = 22.856, p < 0.01), consuming iced/frozen items (χ2 = 16.805, p < 0.01), boiling drinking water (χ2 = 49.633, p < 0.01), and eating commercially available foods/drinks (χ2 = 27.864, p < 0.01), while recurrences were statistically significantly predicted by „not sure of been vaccinated‟ (OR = 2.962, CI = 1.290 to 6.802, p < 0.01), „not having another typhoid patient at home‟ (OR = 1.799, CI = 0.998 to 3.244, p < 0.01), and „drinking unboiled water sometimes‟ (OR = 2.130, CI = 1.023 to 4.434, p < 0.01). It is believed that these findings will guide efforts by the Government for health interventions against typhoid in the study area, thus improving the quality of life for the population.
The Role of FDI on Structural Transformation among Sub-Saharan African and EAP Countries Using a Panel Data Approach
Authors:   Department of Economics, Wolaita Sodo University, Ethiopia., Menza Solomon Kebede , Getachew Zerihun ,   World Bank, Addis Ababa, Ethiopia., Kuma Berhanu ,   Department of Agricultural Economics, Wolaita Sodo University, Ethiopia., Abebe Tora ,   Department of Economics, Arba Minch University, Ethiopia.
Published: November 2021

In recent decades the activities of multinational corporations have increased across the globe substantially having a massive flows of foreign direct investment. This paper empirically examines the role of FDI on structural transformation among Sub-Saharan African and EAP Countries Using a Panel Data Approach. To achieve the objective the study took 31 years panel data . The study used descriptive analysis and empirical methods of analysis. The panel Autoregressive Distributed Lag model with error correction models of Pooled Mean Group technique were employed after checking the possible assumptions of our economic series. The results of Im-Pesaran-Shin test confirms our economic series are stationary at level and first difference forms. Pedroni’s cointegration tests suggests the existence of co-integration between the variables. According to the descriptive analysis, on average structural transformation index (STI) is the highest for China (30.52%) followed by South Korea (25.86), while Ethiopia (4.85) is having the lowest. On other hand, the East Asian and Pacific (EAP) countries in the higher income category are performing better than Sub-Saharan African countries. In addition,Sub-Saharan Africa countries are by far having low level of FDI inflows as compared to EAP countries. Particularly, the FDI inflows for EAP countries in the higher income category is around USD 52 Billion, and while for low and middle income category SSA countries it accounts around USD 2.2 Billion and USD 85 million, respectively. More specifically, across countries in the panel the FDI inflow is the highest for China while on average Kenya is having the lowest FDI inflows. On the other hand, according to the ARDL model of Pooled Mean Group estimation technique in the long-run financial development indicator and FDI have positive impact on the structural transformation index of nations at 1percent level of significance for the full sample in the panel. Moreover, pooled mean group regression result among the Sub-Saharan African and EAP countries FDI has a significant but having different sign for the two group in predicting structural transformation. Particularly, for EAP countries FDI has a negative effect in the long run and a positive effect in the short-run on structural transformation index which are also statistically significant. While for Sub-Saharan African countries FDI has a positive and statistically significant effect on structural transformation both in the long run and short-run. Finally, the government of developing countries like SSAs should provide different incentive packages to attract FDI inflows, among others.
The Impact of Learning Loss due to Family Income Factors on Students' Achievement during the COVID-19 Pandemic
Authors: Oktariani Falinda , Fionasari Richa , Ramdha Triana
Published: November 2021

The purpose of this study is to examine online learning during the pandemic period from the learner's economic standpoint. Seeing how far family income influences student learning achievement from the perspective of mastering English. The data is derived from English academic achievement and a questionnaire focusing on students' economic situations, and it is analyzed using the SPSS version 23 application. After being determined to be homogeneous and normally distributed, the data was collected and analyzed to test the hypothesis using R Square and ANOVA techniques. The results show that family economic factors influence Riau University students' English proficiency as much as 69.7 % in 2021 during the COVID-19 pandemic which may result in learning loss for the students
Multifocal visual evoked potential for evaluation of open-angle glaucoma
Authors: Afify Mostafa EmadEldeen Hussien Mohamed , Abdelgawad Randa Hesham Ali , Hamdi Momen Mahmoud , El-Shazly Amany Abd El-Fattah , Abdelshafik Mohamed Adel
Published: November 2021

Background: To correlate multifocal visual evoked potential (mf VEP) findings with static automated perimetry (SAP) and spectral-domain optical coherence tomography (SD-OCT) in eyes with primary openangle glaucoma (POAG).Methods: This cross-sectional study included a consecutive sample of 40 eyes of 40 patients with POAG. The participants underwent a complete ophthalmologic assessment, axial length (AL) measurement, and assessments with SAP, SD-OCT, and mf VEP.Results: POAG cases were aged 49.70 ± 14.16 years (mean ± SD) and most were females (n = 24, 60%). For eyes of patients with POAG, the mf VEP upper-ring signal-to-noise ratio (SNR) showed a significant negative correlation with best-corrected logMAR visual acuity (r = - 0.33; P = 0.038), and a significant positive correlation with the superior hemifield of the visual field (VF) and the inferior-quadrant retinal nerve fiber layer (RNFL) thickness (r = + 0.34; P = 0.030; r = + 0.51; P < 0.001, respectively). Similarly, the mf VEP lower-ring SNR showed a significant negative correlation with best-corrected logMAR visual acuity (r = - 0.36; P = 0.024) and a significant positive correlation with the inferior hemifield of the VF and superior quadrant RNFL thickness (r = + 0.55; P < 0.001 and r = + 0.70; P < 0.001, respectively).Conclusions: mf VEP is a promising tool for objective assessment of the VF in patients with POAG, as it is positively correlated with the VF and OCT RNFL thickness. Future longitudinal studies with a larger sample size and a specific glaucoma subtype, along with multiple follow-up evaluations, are warranted to confirm our preliminary results.
De privatizaciones, impactos sociales y buenas y males razones...
Authors: Montoya Aquiles
Published: November 2021

No hay resúmenes disponibles.

ECA Estudios Centroamericanos, Vol. 53, No. 591-592, 1998: 99-103.
ДОСЛІДЖЕННЯ МОЛЕКУЛЯРНО-ГЕНЕТИЧНОГО ПОЛІМОРФІЗМУ РОСЛИН РОДУ MISCANTHUS ISSR-ПРАЙМЕРАМИ
Authors: Баб’яж Анна , Григоренко Наталія
Published: November 2021

Сучасна селекція біоенергетичних культур спрямована на підвищення вмісту целюлози, сухої речовини, підвищення продуктивності біомаси. Представники видів роду Miscanthus характеризуються різноманітністю, однак джерела походження представників різних видів, а іноді і в межах одного виду, не встановлено. Тому постає необхідність у проведенні досліджень по встановленню філогенетичної приналежності та детермінації наявних селекційних зразків, найбільш цінних для подальшої селекційної роботи. Для виділення ДНК з рослинного матеріалу в наших дослідженнях застосовували стандартний метод екстракції з використанням ЦТАБ. ДНК виділяли з вегетативних органів відібраних матеріалів, індивідуально з кожної рослини. Для аналізу молекулярно-генетичного поліморфізму рослин роду Miscanthus, методом ISSR – PCR, було використано три ISSR-праймера. В результаті ампліфікації отримано 14 локусів, з яких 13 виявились поліморфними, що свідчить про високий рівень поліморфізму. Індекс поліморфності локусу коливався у межах від 0,83 до 0,95. Дослідження рослинних зразків роду Miscanthus з використанням маркерів ISSR 2 та ISSR 4 виявили 100% поліморфізм, оскільки отримані за їх участі 11 локусів були поліморфними. За умов проведення ПЛР з використанням праймера ISSR 1 було отримано три алеля: у M. sinensis виявили один алель, у M. sacchariflorus було виявлено два алелі, для M. giganteus встановлено наявність трьох алелей. Найбільшу кількість поліморфних локусів отримано за використання праймеру ISSR 4 для генотипів видів M. sacchariflorus, M. gigantheus, M. sinensis. Отримали диференціацію представників роду Miscanthus різних видів за різницею в кількості отриманих алелей для кожного представника. Більшу кількість алелей було виявлено для представників групи M. gigantheus, що підтверджує його гібридне походження. Використання даних праймерів для селекційної практики дозволяє провести оцінку генетичного різноманіття наявних видів роду Miscanthus.
ВПЛИВ ПОСТ-КОВІДНОГО СИНДРОМУ НА МОЗОК ЛЮДИНИ У ВИГЛЯДІ НЕВРОЛОГІЧНИХ СИМПТОМІВ
Authors: Єскін Олександр , Авдєєнко Олександра
Published: November 2021

В цій роботі висвітлені актуальні питання впливу пост-ковідного синдрому на мозок людини у вигляді неврологічних симптомів, проаналізовані впливи пост-ковідного синдрому на студентів медичного університету характерними розладами.
ЧИСЛЕННОЕ РЕШЕНИЕ НЕЛИНЕЙНЫХ МНОГОПАРАМЕТРИЧЕСКИХ СПЕКТРАЛЬНЫХ ЗАДАЧ
Authors: Савенко Петр
Published: November 2021

Предложен численный метод решения нелинейных многопараметрических спектральных задач для голоморфных оператор-функций, определенных в банаховыхпространствах. Доказана теорема существования связных компонент спектра, нахождение которых заключается в решении системы уравнений в частных производныхпервого порядка с соответствующим начальным условием. Приведены примеры решения трехпараметрических спектральных задач.
ПОДОЛАННЯ ПРОБЛЕМ СОЦІАЛЬНОГО ЗАХИСТУ ІНВАЛІДІВ В УКРАЇНІ
Authors: Базалійська Наталія , Мізюк Станіслав , Кучерявий Іван
Published: November 2021

Здійснено аналіз актуальних проблем соціального захисту інвалідів в Україні та виявлено їх причини. Запропоновано шляхи подолання проблем на рівні різних суб’єктів.
КІНЕМАТОГРАФІЧНИЙ ТВІР ЯК ОБ’ЄКТ ПРАВА ІНТЕЛЕКТУАЛЬНОЇ ВЛАСНОСТІ
Authors: Лубчук Олена
Published: November 2021

В статті досліджено ключові підходи до визначення поняття кінематографічного твору. Проаналізовано зміст положень міжнародно-правових актів, присвячених врегулюванню правового режиму кінотвору як об’єкта авторсько-правової охорони. Розглянуто співвідношення понять «фільм», «кінематографічний твір» та «аудіовізуальний твір». Відзначено доцільність закріплення дефініції кінематографічного твору на законодавчому рівні в Україні.
LINEAR ZONING IN THE STUDY OF FUNCTIONAL STREET`S POTENTIAL (THE CASE OF ACADEMICIAN VERNADSKY BOULEVARD, KYIV)
Authors: Khlobystov Danyil , Kononenco Olena
Published: November 2021

The article considers the linear zoning on the example of one of the Kyiv boulevards on the basis of the new methodological approaches adapted to the capital of Ukraine. The research makes it possible to determine the functional content, development peculiarities and transport infrastructure of the street as an urban area. The article provides recommendations for improving the functional zone of the territory and its detailed planning.
НАСІННЄВИЙ ФОНД НДП «СОФІЇВКА» НАН УКРАЇНИ — ОДИН З ШЛЯХІВ ПОПУЛЯРИЗАЦІЇ ТА ЗБАГАЧЕННЯ РОСЛИННИХ КОЛЕКЦІЙ
Authors: Вегера Людмила , Пономаренко Валентина , Музика Григорій , Копилова Тетяна , Порохнява Ольга
Published: November 2021

Наразі у ботанічних установах світу одним з шляхів збагачення рослинних колекцій є обмін насіннєвим матеріалом. В інтродукційній практиці дендрологічних садів і парків України обмін насінням іноді є єдиним шляхом збереження різноманіття рослин, збільшення чисельності того чи іншого виду, розширення його культигенного ареалу. В статті висвітлено діяльність насіннєвого обмінного фонду Національного дендрологічного парку «Софіївка» НАН України, основною метою якого є розширення колекцій деревних і трав’янистих рослин в установі та популяризація рослин власних колекцій. Наведено відомості про створення насіннєвої лабораторії у дендрологічному парку «Софіївка».
THE IMPACT OF SOCIOECONOMIC STATUS ON PATIENTS WITH ORAL AND MAXILLOFACIAL INJURIES
Authors: Cook Maria , Hîțu Dumitru
Published: November 2021

Oral pathologies are among the most common diseases in the world. However, they do not affect all members of the population to the same extent, with differences based on various geographical, social, and economic factors of a given patient. The article has the aim of getting an insight into this matter, by analyzing the social status of 150 patients with OMF injuries, who were treated in the department of Dental surgery at the Dental Municipal Center in Chișinău, throughout the year of 2020.
PRIORITIES AND OPPORTUNITIES OF THE EUROPEAN GREEN DEAL IN THE FRAMEWORK OF UKRAINE'S INTERNATIONAL COMMITMENTS
Authors: Serhii Ivaniuta
Published: November 2021

An assessment of the priorities of the new EU climate change policy until 2050 was made and on this basis the prospects of Ukraine's climate policy were analyzed taking into account the European Green Deal for adaptation to climate change in Ukraine.
Escritura creativa en Wattpad: análisis de usuarios y posibilidades de formación
Authors: García Roca Anastasio
Published: November 2021

Internet ha dado lugar a nuevos espacios de afinidad donde se producen importantes aprendizajes en contextos educativos informales. Investigaciones anteriores muestran el importante potencial educativo de las plataformas de lectura y escritura creativas como Wattpad. El objetivo de este estudio es conocer y describir a los escritores de la red social de lectura y escritura más popular: Wattpad. Para ello, se ha diseñado y administrado un cuestionario adhoc con una serie de preguntas a 351 participantes que son usuarios de la plataforma. Los resultados muestran el carácter internacional de la práctica de alfabetización realizada por jóvenes y adolescentes. Además, es evidente que la plataforma favorece el desarrollo de ciertos hábitos de lectura y escritura que pueden tener implicaciones sociales, intelectuales y emocionales específicas. El estudio muestra que tanto el uso inicial de la plataforma como la persistencia del uso en el tiempo pueden explicarse fundamentalmente por factores sociales. Cabe agregar que la plataforma genera un sentimiento de comunidad entre los usuarios a partir de procesos de retroalimentación entre lectores, escritores y figuras híbridas. El artículo concluye que Wattpad funciona como un espacio único que tiene potencial de transferencia para su uso en la educación institucionalizada, probablemente trayendo consigo numerosas implicaciones para la lectura, la escritura y la educación literaria.