bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of Hot Topics of Agricultural Public Opinion Based on Attention Mechanism LSTM Model
Authors: Fu Lifang , Zhao Feifei
Published: September 2021

In order to timely and accurately analyze the focus and appeal of public opinion on the Internet, A LSTM-ATTN model was proposed to extract the hot topics and predict their changing trend based on tens of thousands of news and commentary messages. First, an improved LDA model was used to extract hot words and classify the hot topics. Aimed to more accurately describe the detailed characteristics and long-term trend of topic popularity, a prediction model is proposed based on attention mechanism Long Short-Term Memory (LSTM) network, which named LSTM-ATTN model. A large number of numerical experiments were carried out using the public opinion information of "African classical swine fever" event in China. According to results of evaluation indexes, the relative superiority of LSTM-ATTN model was demonstrated. It can capture and reflect the inherent characteristics and periodic fluctuations of the agricultural public opinion information. Also, it has higher convergence efficiency and prediction accuracy.
Hidden Service Circuit Reconstruction Attacks Based on Middle Node Traffic Analysis
Authors: Meng Yitong , Fei Jinlong
Published: September 2021

Traffic analysis is widely considered as an attack posing a threat to anonymity of the communication and may reveal the real identity of the users. In this paper, a novel anonymous circuit reconstruction attack method that correlates the circuit traffic is proposed. This method then reconstructs a complete communication tunnel using the location of middle nodes found between the hidden and client services. The attack process includes independent determination of the location of the malicious nodes. A traffic correlation framework of AutoEncoder + CNN + BiLSTM is established, based on the Generative Adversarial Networks (GAN) model. BiLSTM applies the packet size and packet interval features of bidirectional traffic and combines the reconstruction loss function with the discrimination loss function to achieve correlated traffic evaluation. After balancing the reconstruction loss and discrimination loss scores, the simulation results confirm that the identification performance of the proposed system is higher than the advanced models.
Understanding Intention and Behavior Toward Online Purchase of Agriculture and Fisheries Products Using Extended Technology Acceptance Model
Authors: Matias Junrie B.
Published: September 2021

This study investigates the factors affecting the usage behavior and intention towards online purchasing platforms in purchasing agriculture and fisheries products online based on the technology acceptance model. External factors adapted from current literature were integrated with the model to understand the consumer intention and behavior towards online purchasing. An online survey with 318 respondents was used to test the hypotheses of the theoretical model using partial least squares component-based structural equation modeling. Results show that trust is a significant predictor of usage behavior. Furthermore, the factors visibility, perceived risk, perceived value, and enjoyment have directly or indirectly influenced intention and usage behavior through trust, perceived ease of use, and perceived usefulness. The researcher considers this work to have contributed essential inputs to other researchers interested in studying the adoption of online purchasing in fisheries and agriculture products.
An Opcode-Based Malware Detection Model Using Supervised Learning Algorithms
Authors: Samantray Om Prakash , Tripathy Satya Narayan
Published: September 2021

There are several malware detection techniques available that are based on a signature-based approach. This approach can detect known malware very effectively but sometimes may fail to detect unknown or zero-day attacks. In this article, the authors have proposed a malware detection model that uses operation codes of malicious and benign executables as the feature. The proposed model uses opcode extract and count (OPEC) algorithm to prepare the opcode feature vector for the experiment. Most relevant features are selected using extra tree classifier feature selection technique and then passed through several supervised learning algorithms like support vector machine, naive bayes, decision tree, random forest, logistic regression, and k-nearest neighbour to build classification models for malware detection. The proposed model has achieved a detection accuracy of 98.7%, which makes this model better than many of the similar works discussed in the literature.
Determinants of Online Purchase Intention of Apparel Products in Lebanon
Authors: Mostafa Rania B. , Hannouf Hassan Naim
Published: September 2021

This study investigates factors (perceived usefulness, perceived ease of use, privacy concerns, trust, innovativeness, and perceived benefits) affecting Lebanese consumers’ attitude toward online purchasing and their intention to purchase online. Data collected from 416 online shoppers were analyzed using regression analysis. All the factors affect attitude towards online purchasing except trust and privacy concerns which were not supported. In addition, results show that attitude toward online purchasing affect online purchase intention. This study is the first to empirically examine factors influencing online purchase intention towards apparel products in Lebanon. The study provides insight from an overlooked emerging country, Lebanon.
Understanding the Intention to Use Virtual Currency in a Gamified E-Commerce Context
Authors: George Anoop , Joy Manu Melwin , Muhammed Sajid.  , Muhammed Nowfal S.
Published: September 2021

Gamification is all about using game features in a serious context to encourage people to use products or services. E-commerce has used gamification for marketing determinations to strengthen intent to use. Technology Acceptance Model is employed in the current study to investigate the intention to use gamified virtual currency in the Indian context. A survey was used to accumulate records from a random sample of relevant virtual currency users in an e-commerce context using a quantitative approach. Structural equation modeling (SEM) is expended for data analysis in this research. This empirical research shows the incremental impact of the users' perceptions of the ease of use and usefulness on intention to use virtual currency. The variable attitude seems to be not mediating significantly. There are also discussions, restrictions, and future research directions mentioned in this study
Implementing Social Media
Authors: Shi Wanzhu , Medina Pamela
Published: September 2021

Social media is an important avenue for information dissemination and public communication in emergency management. Through social media content analysis and in-depth interviews, this study explores how county level emergency management agencies use their Facebook pages to communicate with the public, using Hurricane Matthew as a case study. The findings reveal some areas of congruence between literature and practitioner experience. The results suggest that public agencies integrate flexible social media strategies, which emphasize one-way communication when the public expects larger volumes of information and directions, and two-way communication when the public might have individualized needs. Furthermore, the findings show that visual content (e.g. pictures) are more likely to garner higher levels of public engagement on Facebook. Last, the study provides several practical suggestions for content creation and interaction on social media for emergency purposes.
Quantifying the Impact of Biopics on Wikipedia Articles
Authors: Verma Amit Arjun , Dubey Neeru , Setia Simran , Kamtam Prudvi , Iyengar S. R. S.
Published: September 2021

Wikipedia is known for its extensive and comprehensive knowledge of multifarious topics. These topics are maintained as articles along with a history of versions of these articles, these versions are also known as revisions. Revisions are the results of edits made by various users. Here, the authors analyze biographical Wikipedia articles, mainly biographies that have a movie based on them re- leased after the year 2010. The authors look at the impact of the movie release on its corresponding biography article on Wikipedia by looking at various metrics of each revision in a Wikipedia article and analyze how the revisions closer to the movie’s release date compare with the rest of the revisions. The results show that quality and content in Wikipedia articles increases significantly during the release time frame of corresponding biopics. The authors believe their work will stimulate more research in the direction of understanding Wikipedia’s relationship with its allied portals.
Face Recognition Based on Fractal Code and Deep Belief Networks
Authors: Benouis Mohamed
Published: September 2021

An enhanced algorithm to recognize the human face using bi-dimensional fractal codes and deep belief networks is presented in this work. The proposed method is experimentally robust against variations in the appearance of human face images, despite different disturbances affecting the measurements and the acquisition process such as occlusion, changes in lighting, pose, and expression or the presence or absence of structural components. That is mainly based on fractal codes (IFS) and bi-dimensional subspaces for features extraction and space reduction, combined with a deep belief network (DBN) classifier. The evaluation is performed through comparisons using probabilistic neural network (PNN) and nearest neighbours (KNN) approaches on three well-known databases (FERET, ORL, and FEI). The results suggest the effectiveness and robustness of the proposed approach.
A Two-Echelon Responsive Health Analytic Model for Triggering Care Plan Revision in Geriatric Care Management
Authors: Tang Valerie , Lam H. Y. , Wu C. H. , Ho G. T. S.
Published: September 2021

Due to the increasing ageing population, how can caregivers effectively provide long-term care services to meet the older adults’ needs with finite resources is emerging. In addressing this issue, nursing homes are striving to adopt smart health with the internet of things and artificial intelligence to improve the efficiency and sustainability of healthcare. This study proposed a two-echelon responsive health analytic model (EHAM) to deliver appropriate healthcare services in nursing homes under the Internet of Medical Things environment. A novel care plan revision index is developed using a dual fuzzy logic approach for multidimensional health assessments, followed by care plan modification using case-based reasoning. The findings reveal that EHAM can generate patient-centred long-term care solutions of high quality to maximise the satisfaction of nursing home residents and their families. Ultimately, sustainable healthcare services can be within the communities.
Disruption of Medical Care among Individuals in the Southeastern United States during the COVID-19 Pandemic
Authors: Ni Bin , Gettler Erin , Stern Rebecca , Munro Heather M. , Steinwandel Mark , Aldrich Melinda C. , Friedman Debra L. , Sanderson Maureen , Schlundt David , Aronoff David M. , Gupta Deepak K. , Shrubsole Martha J. , Lipworth Loren
Published: September 2021

Background

Widespread disruptions of medical care to mitigate COVID-19 spread and reduce burden on healthcare systems may have deleterious public health consequences.

Design and methods

To examine factors contributing to healthcare interruptions during the pandemic, we conducted a COVID-19 impact survey between 10/7-12/14/2020 among participants of the Southern Community Cohort Study, which primarily enrolled lowincome individuals in 12 southeastern states from 2002-2009. COVID survey data were combined with baseline and follow-up data.

Results

Among 4463 respondents, 40% reported having missed/delayed a health appointment during the pandemic; the common reason was provider-initiated cancellation or delay (63%). In a multivariable model, female sex was the strongest independent predictor of interrupted care, with odds ratio (OR) 1.63 (95% confidence interval [CI] 1.40-1.89). Those with higher education (OR 1.27; 95% CI 1.05-1.54 for college graduate vs ≤high school) and household income (OR 1.47; 95% CI 1.16-1.86 for >$50,000 vs <$15,000) were at significantly increased odds of missing healthcare. Having greater perceived risk for acquiring (OR 1.42; 95% CI 1.17-1.72) or dying from COVID-19 (OR 1.25; 95% CI 1.04-1.51) also significantly increased odds of missed/delayed healthcare. Age was inversely associated with missed healthcare among men (OR for 5-year increase in age 0.88; 95% CI 0.80-0.96) but not women (OR 0.97; 95% CI 0.91-1.04; P-interaction=0.04). Neither race/ethnicity nor comorbidities were associated with interrupted healthcare.

Conclusions

Disruptions to healthcare disproportionately affected women and were primarily driven by health system-initiated deferrals and individual perceptions of COVID-19 risk, rather than medical co-morbidities or other traditional barriers to healthcare access.
Molecular red cell genotyping of rare blood donors in South Africa to enhance rare donor-patient blood matching
Authors: Govender Lavendri , Prakashchandra Rosaley D. , Pillay Pavitra , Jentsch Ute
Published: September 2021

Background: Molecular red cell genotyping is devoid of serology limitations such as the scarcity of rare antisera and the possibility of inconclusive results due to biological interferences. Blood incompatibility can result in immune transfusion reactions such as haemolytic transfusion reactions or haemolytic disease of the foetus and newborn.Objective: The study aimed to use molecular red cell genotyping to identify rare blood group donors among South African blood donors.Methods: Red cell genotyping data were extracted retrospectively from the BIDS XT genotyping software in the Immunohaematology Reference Laboratory from January 2015 to August 2016. The ID CORE XT genotyping assay was used to identify the single nucleotide polymorphisms of 10 blood groups system alleles in 150 donors. Associations between the resultant genotypes and predicted phenotypes, ABO group, RhD type, race group and gender were studied.Results: Significant red cell genetic variability was noted among the numerous South African donor genotypes identified in this study. Genotyping further confirmed the presence of at least one of the 16 rare genotypes in 50 donors. Group O Black donors were associated with two rare blood types, while several other rare blood types were found only in White donors, supporting an association between ABO/Rh subtype, race group and rare blood types.Conclusion: Targeted screening of donors for antigen-negative rare blood units for patients should be done to reduce the risk of haemolytic transfusion reactions and haemolytic disease of the foetus and newborn.
Professional nurses’ experience in providing nursing care to women experiencing gender-based violence: A caring presence study
Authors: Mphephu Avhatakali , Du Plessis Emmerentia
Published: September 2021

Background: Women in a sub-district of one of the most rural provinces in South Africa are at a high risk of experiencing gender-based violence. Professional nurses are at the frontline of providing healthcare to these women. Caring presence is a valuable resource to professional nurses in these settings.Aim: To explore and describe the experiences of professional nurses in providing nursing care to women experiencing gender-based violence.Setting: A primary health clinic, community health centre, out-patient department and emergency department in the rural sub-district.Methods: An interpretive phenomenological design was applied. Purposive sampling was used and semi-structured one-on-one interviews were held with professional nurses. Interpretive phenomenological analysis was done and data saturation was achieved (n = 15).Results: Participants were willing to provide nursing care but worked in difficult environments, and their level of competence influenced how they engaged with these women. They realised that the lifeworld of the women made it difficult for them to disclose that they are experiencing gender-based violence. Participants emphasised the importance of multidisciplinary and multi-sectoral collaboration. A final theme, caring presence, also emerged.Conclusion: Participants felt compassion and were willing to provide nursing care. However, they experienced reluctance due to hindrances that limited them in connecting with and attuning to the women. This left them feeling frustrated, and with a deepened sense of empathy, as they realised how deeply the women are suffering. Recommendations were formulated.Contribution: This study revealed nurses’ need to be guided in providing relational care to women who are experiencing gender-based violence. Based on the findings, it is recommended that infrastructure should be updated to ensure private and safe spaces for women, debriefing and training should be provided and multidisciplinary collaboration should be strengthened. Policy for improved referral systems, the assessment and management of women experiencing gender-based violence and the wellness of professional nurses should be developed.
A conceptual framework of the relationship between musicking and Personal and Social Well-being for intermediate phase learners in the South African context
Authors: Mouton Rechallda J. , Morelli Janelize
Published: September 2021

This article proposes a conceptual framework to understand the relationship between musicking and Personal and Social Well-being for intermediate phase learners. We analysed the intermediate phase life skills Curriculum and Assessment Policy Statement (CAPS) document to create a priori codes. We employed these codes to analyse literature on musicking and well-being. Through this analysis, it became clear that it is possible to apply musicking as a means to teach Personal and Social Well-being outcomes in the intermediate phase life skills CAPS provided teachers view musicking as cultural and moral education. This article presents a conceptual framework resting on nine propositions that need to be addressed if teachers wish to teach personal and social well-being through musicking.
COVID-19 Pneumonia with Stroke
Authors: Patil Shital , Gondhali Gajanan
Published: September 2021

COVID-19 disease is known to cause pulmonary and extrapulmonary complications including effects on cardiovascular, gastrointestinal, renal, and neurovascular system. Ischemic stroke seems to be one of the most serious neurologic complications in patients with COVID-19 infection. In this case report, we have documented, 70-year-old male presented with acute respiratory syndrome with hypoxemia and neurological involvement as right hemiparesis with altered level of consciousness, COVID-19 real-time polymerase chain reaction positive, with abnormal laboratory parameters such as ferritin, lactate dehydrogenase, and D-dimer. Further investigations such as echocardiography documented cardiomyopathy and left heart dysfunction, high-resolution computed tomography thorax documented COVID pneumonia, and magnetic resonance imaging brain documented left frontoparietal and parieto-occipital lobe infarct. We have observed excellent clinical and radiological response to anticoagulation, antiplatelets, and steroids with other supportive care in critical care unit.
Educational Intervention on Knowledge and Attitude regarding Postdialysis Home Care among Caregivers of Hemodialysis Patients
Authors: Puri Shipa , Pareek Shtrughan
Published: September 2021

Introduction:

Chronic kidney disease is an enormous public health issue, the tide of which continues to inexorably rise. In the 2015 Global Burden of Disease Study, kidney disease was the 12th most common cause of death, accounting for 1.1 million deaths worldwide. The aim of the study was to assess the effectiveness of self-instruction module on knowledge and attitude regarding postdialysis home care among caregivers of hemodialysis patients.

Methodology:

A preexperimental one-group pretest–posttest design was selected for the study which was conducted from June 1 to June 31, 2019. A total of sixty caregivers of hemodialysis patients attending at Max Hospital, Dehradun, Uttarakhand, were selected through purposive nonprobability sampling technique. The data were collected through a self-structured questionnaire and attitude scale toward postdialysis home care.

Results:

The results showed that pretest mean score was 18.58 ± 2.99 while, after administering the self-instruction module, posttest mean score was 27.66 ± 2.69. In addition, the intervention was significantly effective to enhance the knowledge (P = 0.00001) and attitude (P = 0.00001) of caregivers regarding postdialysis home care.

Conclusion:

The study concluded that self-instruction module was effective in increasing the knowledge and positive attitude regarding postdialysis home care. Therefore, it is recommended that such a type of teaching program should be conducted from time to time for improving knowledge, attitude, and practices of caregivers of dialysis patients.
Predictive Value of Interstitial Lung Abnormalities for Postoperative Pulmonary Complications in Elderly Patients with Early-stage Lung Cancer
Authors: Jeong Won Gi , Kim Yun-Hyeon , Lee Jong Eun , Oh In-Jae , Song Sang Yun , Chae Kum Ju , Park Hye Mi
Published: September 2021

PurposeIdentifying pretreatment interstitial lung abnormalities (ILAs) is important because of their predictive value for complications after lung cancer treatment. This study aimed to assess the predictive value of ILAs for postoperative pulmonary complications (PPCs) in elderly patients undergoing curative resection for early-stage non-small cell lung cancer (NSCLC).Materials and MethodsElderly patients (age ≥ 70 years) who underwent curative resection for pathologic stage I or II NSCLC with normal preoperative spirometry results (pre-bronchodilator forced expiratory volume in 1 s to forced vital capacity [FVC] ratio > 0.70 and FVC ≥ 80% of the predicted value) between January 2012 and December 2019 were retrospectively identified. Univariable and multivariable regression analyses were performed to assess risk factors for PPCs. The Kaplan–Meier method and log-rank test were used to analyze the relationship between ILAs and postoperative mortality. One-way analysis of variance was performed to assess the correlation between ILAs and hospital stay duration.ResultsA total of 262 patients (median age, 73 [interquartile range, 71–76] years; 132 male) were evaluated. A multivariable logistic regression model revealed that, among several relevant risk factors, fibrotic ILAs independently predicted both overall PPCs (adjusted odds ratio [OR], 4.84; 95% confidence interval [CI], 1.35–17.38; p=0.016) and major PPCs (adjusted OR, 8.72; 95% CI, 1.71–44.38; p=0.009). Fibrotic ILAs were significantly associated with higher postoperative mortality and longer hospital stay (F=5.21, p=0.006).ConclusionPretreatment fibrotic ILAs are associated with PPCs, higher postoperative mortality, and longer hospital stay.
Structure and $K$-theory of $\ell^p$ uniform Roe algebras
Authors: Chung Yeong Chyuan , Li Kang
Published: September 2021

In this paper, we characterize when the

\ell^p

uniform Roe algebra of a metric space with bounded geometry is (stably) finite and when it is properly infinite in standard form for

p\in [1,\infty)

. Moreover, we show that the

\ell^p

uniform Roe algebra is a (non-sequential) spatial

L^p

AF algebra in the sense of Phillips and Viola if and only if the underlying metric space has asymptotic dimension zero.

We also consider the ordered

K_0

groups of

\ell^p

uniform Roe algebras for metric spaces with low asymptotic dimension, showing that (1) the ordered

K_0

group is trivial when the metric space is non-amenable and has asymptotic dimension at most one, and (2) when the metric space is a countable locally finite group, the (ordered)

K_0

group is a complete invariant for the (bijective) coarse equivalence class of the underlying locally finite group. It happens that in both cases the ordered

K_0

group does not depend on

p\in [1,\infty)

.
Teachers’ Knowledge and Practices in Using Digital Literacy in Enhancing Communicative Competence in the English as a Second Language Class
Authors: Adeniyi-Egbeola Folakemi O. , Achike Kelechi J. , Bello Yekeen
Published: September 2021

This study explored teachers’ knowledge and practices in using digital literacy in enhancing the communicative competence of English as a second language (ESL) learners. This is because there are different types of data in the digital domain, which necessitate their use in  various fields of learning. One hundred teachers of English from South-west Nigeria participated in a survey through online platforms.  After analyzing the data through both descriptive and inferential statistics, the major findings revealed the following: (1) ESL teachers have maximum knowledge of the existence of many of the existing digital tools (2) they largely perceive that digital literacy can be used to  enhance communicative competence, but do not maximally use the digital tools to do so, (3)the digital divide is a major factor limiting teachers’ use of digital tools in enhancing learner communicative competence. In view of this, it is therefore recommended,firstly, that  teachers be given adequate training on the use of digital tools in enhancing the communicative competence of ESL learners. Secondly, the government and other stakeholders should invest more in technology particularly in the area of education. Lastly, ESL teachers should make conscientious efforts to deploy digital tools in teaching to enhance the communicative competence of the learners.
Awareness of vaccine-preventable diseases and self-reported immune status of Swiss dental healthcare workers
Authors: Zeller Barbara , Kulik Eva M. , Zitzmann Nicola U. , Waltimo Tuomas
Published: September 2021

INTRODUCTION: Dental healthcare workers are exposed to various infectious agents that may present an occupational risk. Although vaccinations rank among the most cost-effective health measures, vaccine hesitancy is present among healthcare workers.
METHODS: A structured anonymous questionnaire was completed by 1111 dental healthcare workers – dentists, dental hygienists, prophylaxis assistants, dental assistants, dental technicians, and dental students. Demographic data and immunisation status, either by vaccination or by immunity after disease, were collected. Additionally, employers and employees were asked about their current workplace vaccination policy, including questions about information provided on the risk of hepatitis B (HBV) infection, whether HBV vaccination was compulsory and who paid for compulsory vaccinations.
RESULTS: The overall response rate was 55.7%. Approximately half of the participants were dentists; only 17 technicians completed the questionnaire. The most common immunisation was for HBV (94.7% of participants). Only 19.2% of participants reported immunisation against human papillomavirus. Uncertainty over immunisation status was highest for Haemophilus influenzae type B (46.7%). Only a minority of participants (17.4%) received a yearly vaccination against seasonal influenza, whereas two-thirds never get vaccinated. The participants’ level of awareness related to the seven general vaccinations (HBV, influenza, measles, mumps, rubella, varicella, and tetanus) was medium to high, whereas their level of awareness related to vaccinations against HBV and influenza was medium. Half of the employees stated that they were informed about the risk of HBV at their current workplace and over three-quarters of employers indicated that they provided such information to their employees. Compulsory HBV vaccination was implemented at approximately half of the dental practices.
CONCLUSION: The Swiss dental healthcare workers participating in this study had a medium level of awareness towards vaccinations. Almost all participants were vaccinated against HBV, but they were particularly hesitant about the seasonal influenza vaccination. As a considerable number of participants was unaware of their immunisation status, more comprehensive information on infectious diseases, vaccination and prevention is essential.
Przełomowe osiągnięcia lwowskich filologów w badaniach polskiego romantyzmu do roku 1939
Authors: Chrostek Mariusz
Published: September 2021

Celem artykułu jest pokazanie wyjątkowych zasług polskich literaturoznawców związanych ze Lwowem w badaniach romantyzmu na tle osiągnięć uczonych z innych polskich uniwersytetów. Analizowany problem obejmuje okres do roku 1939, ponieważ dotąd funkcjonował we Lwowie polski uniwersytet. Zainteresowanie rodzimym romantyzmem, zwłaszcza trójcą wieszczów: Adamem Mickiewiczem, Juliuszem Słowackim i Zygmuntem Krasińskim, dominowało w pracach naukowych filologów epoki pozytywizmu, Młodej Polski i dwudziestolecia międzywojennego. Porównanie dorobku Lwowa z „resztą Polski” obejmuje monografie największych pisarzy i ich ocenę, rozprawy i artykuły oraz stosowaną w badaniach metodologię. W czasach zaborów (do 1918 r.) poloniści lwowscy konkurowali głównie z krakowskimi (UJ) i kilkoma z Warszawy. W Krakowie powstało najwięcej monografii trzech wieszczów, ale to we Lwowie Juliusz Kleiner napisał najlepszą (o Krasińskim). Filolodzy krakowscy stosowali przestarzałą metodologię (oceniali literaturę ze względu na poglądy ideologiczne pisarzy, nie interpretowali samych dzieł). We Lwowie badano głównie teksty utworów literackich, ich wartość artystyczną. Przed rokiem 1914 Juliusz Kleiner stworzył nowoczesną metodologię (dzieło literackie w centrum zainteresowań). Sformułował też pojęcie epoki romantyzmu, które przyswoili potem inni uczeni. Poglądy Kleinera stały się podstawą w badaniach literatury w dwudziestoleciu międzywojennym.
W wolnej Polsce w latach 1919–1939 działało sześć uniwersytetów: we Lwowie, Krakowie, Warszawie, Wilnie, Lublinie i Poznaniu. Polonistyka we Lwowie przeżywała wtedy okres największej świetności. To kolejne zasługi wybitnego Juliusza Kleinera, uznawane za najlepsze w Polsce i ponadczasowe: dwie ogromne monografie – Słowackiego i Mickiewicza, znakomicie opracowane Dzieła wszystkie Słowackiego (większość tomów), historia literatury polskiej po polsku i niemiecku i inne. We Lwowie pracował Eugeniusz Kucharski – najlepszy w Polsce znawca Aleksandra Fredry; Konstanty Wojciechowski i Zygmunt Szweykowski – najwybitniejsi specjaliści od polskiej powieści. We Lwowie działało od 1886 r. Towarzystwo Literackie im. Adama Mickiewicza (w innych miastach po roku 1919 jego filie). Tam też ukazywał się „Pamiętnik Literacki” – najbardziej zasłużone czasopismo badaczy literatury. W porównaniu z pozostałymi miastami we Lwowie najliczniejsza grupa uczonych badała polski romantyzm i poświęciła mu najwięcej publikacji.
Historical school of Mykhailo Hrushevsky in Lviv: formation, structure, personal contribution
Authors: Telvak Vitalii , Pedych Vasyl , Telvak Viktoria
Published: September 2021

This article deals with the genesis and functioning of the Lviv Historical School of M. Hrushevsky. The plans to create a historical school of Ukrainian character at the University of Lviv were made by the initiators of the department of World History – specializing in with the history of the Western Europe – i.e.O. Barvinsky, V. Antonovych, and O. Koninsky, as well as by M. Hrushevsky.
The school had a two-stage structure of formation and functioning: the historical seminar of the University of Lviv and the section for the history of philosophy of the Scientific Society of Shevchenko. It made it possible to gather creative young people on the first stage at the University of Lviv, and introduce them to the scientific work and to prepare and train the new employees on the second stage in the section for the history of philosophy of the Scientific Society of Shevchenko.
The composition of the school were elaborated relying on the firstly determined criteria (taking part in the scientific seminar, the work in the sections and commissions of the Scientific Society Shevchenko, scholar maturity etc). It was determined that the Lviv school counted 20 young historians, among whom one was a woman.
The Ukrainian Galician Center of Hrushevsky was characterized as a common school of the leadership type, whose didactic tasks were accompanied by the simultaneous creation of the new Ukrainian historical ideology.
It was concluded that the Lviv Historical School was undoubtedly the most important humanistic phenomenon in the Ukrainian science, both in terms of effectiveness and the temporal range of influence. Its appearance marked the entry of Ukrainian science into a new level of professionalization.
impacts of architecture and decorative arts on health based on medical sources in the Muslim societies during the medieval era
Authors: Taheri Jafar
Published: September 2021

This article aims to provide a historical overview of the impact of architecture and decorative arts on health and health preservation in Muslim societies during the medieval era.
Based on primary medical sources, this article provides a historical interpretation of the theoretical origin of the ignored link between medicine and architecture (and decorative arts).
Our findings indicate that some empirical results concerning the effects and aspects of built environments (architectural spaces) on health and treatment–both physical and mental– have been considered in the medical sources.
Practical instructions of these sources introduced two theoretical achievements: 1) an introduction to the historical knowledge of environmental health and design of healthy places, and 2) a comparative analogy of the built environment and human nature (organism), which became a theoretical basis for the relationship between natural sciences, architecture, and the decorative arts in the middle ages.
Considerations of the study show the extent to which architects and artisans, based on the teachings and instructions of physicians, dealt with the structural and content adaptation models of architecture and decorative arts to human organism and nature.
CHARACTERIZATION OF CARBON FIBERS DERIVED FROM THERMALLY STABILIZED POLY(HEXAMETHYLENE ADIPAMIDE) PRECURSOR FIBERS
Authors: Rahman Mahbubor , DEMIREL TUBA , Karacan İsmail
Published: September 2021

The thermal oxidative stabilization and carbonization processes of poly(hexamethylene adipamide) or (polyamide 66) fibers were accomplished to transform into carbon fibers. Polyamide 66 fibers were pretreated with a ethanol solution of cupric chloride followed by a stabilization process in the air atmosphere. Carbonization experiments were executed at temperatures of 500, 700, 900, and 1100°C utilizing heating rate of 2.5 °C/min. Carbonization experiments were performed at temperatures between 500 and 1100°C employing the rises of 100°C. X-ray diffraction analysis of the carbon fibers shown a highly disordered carbon structure developed during the carbonization process. The values of fiber diameter, linear density, volume density, carbon fiber yield, elemental analysis, and electrical properties revealed a strong dependence on the carbonization temperature. As an insulating material, the polyamide 66 or PA66 precursor was transformed to a semiconducting stage after the thermal stabilization and carbonization processes. The current study demonstrated how processing parameters influence the structure and characteristics of carbon fibers produced from poly(hexamethylene adipamide) fibers.
A Study on Mechanical Properties of Al7068 Based Metal Matrix Composite Reinforced with Rice Husk Ash (RHA) and Silicon Carbide (SiC)
Authors: Syed Akbar Ali and B.S Motgi
Published: September 2021

This paper deals with the fabrication of Al-7068 composites manufactured by powder metallurgy route reinforced with
different weight percentages of rice husk ash (RHA) and SiC. A low pressure of 400mpa was applied for compacting the
composites and sintered at a temperature of 720°C for three hour. SEM and EDX analysis was done to study the micro-structural
behavior. Hardness and compression test were carried out. The hardness has been improved by adding the weight percentage of
SiC but seems to be crash by adding the weight percentage of Rice Husk Ash (RHA). The compressive strength was found to be
varying.
A Study on Mechanical and Tribological Properties of Aluminum 7075 MMCS Reinforced with Silicon Carbide and Coconut Husk by Powder Metallurgy Process
Authors: Syed Gous Pasha and B.S Motgi
Published: September 2021

The metal matrix composite strengthened with ceramic material of silicon carbide has smart mechanical characteristics.
Metal-based composites, however, demand progress in their friction and tribological characteristics. In this work-study an effort
is made to design a completely new material through the method of metallurgy by adding Coconut husk. This study explored the
effect of coconut husk on the tribological behavior of hybrid composite Al 7075/5 wt. % Sic/Xwt. %coconut husk(X=6,4 and0).The
research confirms the performance of wear properties by incorporating coconut husk into the composite. The sic-coconut husk
reinforced Al 7075 (aluminum alloy 7075) was studied. Metallurgy route was used to prepare the composites. Microstructures, the
mixture of materials, wear and wear resistance properties were analyzed by optical micro cope and scanning electron microscope.
Investigation of Microstructure and Mechanical Properties of Hybrid Composite Aluminum 7075 Reinforced with Sugar Cane Husk Ash (SCHA) and Silicon Carbide (SiC) by Powder Metallurgy
Authors: Mallikarjun Nagagonda and B.S Motgi
Published: September 2021

This paper deals with the fabrication of Al-7075 composites manufactured by powder metallurgy route reinforced with different
weight percentages of Sugar Cane Husk Ash (SCHA) and Silicon Carbide (SiC) A low pressure of 400 MPa was applied for
compacting the composites and sintered at a temperature of 720oC for three hour. SEM and EDX analysis was done to study the
micro-structural behavior. Hardness and compression test were carried out. The hardness has been improved by adding the
weight percentage of Silicon Carbide (SiC) but seems to be crash by adding the weight percentage of Sugar Cane Husk Ash
(SCHA). The compressive strength was found to be varying.
TRANSLATION IN AN ES(A)P COURSE – CHOOSING AND USING TEACHING/LEARNING MATERIALS
Authors:   University of Belgrade, Faculty of Philosophy, Vlahovic Nina , Popovic Pecic Ana
Published: September 2021

The paper deals with L2-L1 translation as used in different phases of an ES(A)P (English for specific academic purposes) course for different purposes – namely, as a complementary class activity carried out throughout the course, as well as one of the means of assessing students’ reading comprehension. It foregrounds the importance of selecting adequate materials, and elaborates on the different factors that this selection is dependent on. An extensive analysis of translations by students of the humanities and social sciences at the Faculty of Philosophy in Belgrade has been carried out, the results of which have been used to substantiate the rationale behind the use of translation as a learning and assessment tool, while indicating the kind of translation materials most appropriate for the two purposes. The paper also aims to contribute to the reevaluation of the use of translation in ESP, since it has for a long time been “ostracised” from language teaching practice, while placing this activity/tool in the context of the humanities and social sciences, which have also been undeservedly neglected in EFL/ESP studies.
Conflict of Relevance and Reliability of İnformation and the Global Network
Authors: Firudin Oqlu Kazimi Parviz
Published: September 2021

The conflict of interests in the global information space is multifaceted conflict between manopolists and the government, sellers and consumers, information resources and consumers of information, etc. Systematic discussion and new approaches to the problem of conflict of interests can contribute to raising progressiveness. The purpose of the article is to raise the problem of conflict of interest, to model it both within the framework of an integrated system, and to find optimal solutions in the context of differentiated corporate interests. This will eliminate the manipulation of the niteres conflict in the global network.
WORK-CENTERED LIFE AND EMPLOYEE PERFORMANCE AT GEOTHERMAL DEVELOPMENT COMPANY IN NAIROBI CITY COUNTY, KENYA
Authors: Ebbysibah Amoro , Felistus Makhamara
Published: September 2021

Work-life balance entails to the working arrangements that ensure an employee's personal and professional duties are balanced. Poor work-life balance is a key risk that jeopardizes employee well-being, performance, and organizational effectiveness. Most employees find it difficult to strike a balance between their personal lives and their work obligations. Work-life balance is linked to the stability between the time and effort employees devote to work and also attend personal responsibilities to maintain an overall sense of synchronization in life. State corporations such as Geothermal Development Company are currently operating in an extremely competitive environment. This demand for more responsiveness and efficiency of employees that is brought about by Work-life balance as adopted in private organizations. The main objective of this study was to investigate the influence of work-centred life and employee performance at Geothermal Development Company. The anchor theory of the study was Spill-over Theory that was reinforced by Compensation Theory. The study adopted a descriptive research design. Data was collected using structured questionnaires from the senior management, middle management, and lower-level support staffs of Geothermal Development Company. The target population of the study was 341 and the study’s sample size was 102. The study used stratified random sampling. The researcher conducted a pilot study using 10% of the respondents before the questionnaires were distributed for data collection. Pre-testing and expert opinion were used to examine the instrument's validity. The instrument's dependability was tested using the Cronbach’s alpha reliability test. The qualitative data was analyzed with the aid of SPSS version 26.0. Inferential statistics (correlations and regression analysis) was used by the researcher to show the relationship between independent and dependent variables. Pearson correlation helped in envisaging and defining the relationship between the variables. Data was presented on tables and figures. Pearson correlation helped in envisaging and defining the relationship between the variables. The study established that work-centred life had a significant influence on employee performance. The study concluded that work-centered life had significant influence on employee performance. The researcher recommends that the management of GDC should enhance their policies on work-centred life by formulation and implementation of modern policies, and this should be cascaded down to departmental level. The Human Resource department at GDC should reconsider its policies on flexi working arrangements, organization wellness programmes, job sharing as well as employee health as way of motivating employees to improve their performance.

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IDEOLOGY AND POLITICAL DISCOURSE: A CRITICAL DISCOURSE ANALYSIS OF PRESIDENT NANA AKUFFO ADDO’S 2018 STATE OF THE NATION ADDRESS
Authors: Logogye Cynthia
Published: September 2021

This paper is a critical discourse analysis of the 2018 (SONA)- State of the Nation Address delivered by Ghana’s president, Nana Akuffo-Addo. Using van Dijk’s (2004) ideological strategies, the study investigates how the president tries to justify his government’s ideas and persuades his audience by utilizing subtle ideological discourse structures in his speech. The text used in the study is the whole of the 2018 state of the nation address obtained from www.my joy online.org. The study employs content analysis for analysing the data. The major ideological strategies employed have been positive self-representation and in-group favouritism supported by minor ideological strategies while projecting past opponent governments negatively.

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innovación organizacional en las agencias automotrices de la ciudad de Torreón como eslabón final del sector automotor
Authors: Mendoza Wong Lilibet , Martínez Flores Blanca Gisela , Chairez  Hernández Hilda Haydee , Acosta ´Pérez Daniela
Published: September 2021

Actualmente el contexto ha cambiado de manera acelerada, las empresas han evolucionado tanto tecnológicamente como en su organización, y esto se ha debido en gran parte al nivel de innovación que han alcanzado. Actualmente es imposible pensar en un posicionamiento empresarial sin esta herramienta fundamental, que se ha convertido en una aliada del crecimiento y permanencia de las medianas empresas. La presente investigación tiene como objetivo conocer el grado de innovación organizacional en la mediana empresa tomando como objeto de estudio las agencias automotrices de la ciudad de Torreón. Considerando a estas el último eslabón del sector automotriz. La investigación es cualitativa descriptiva en su etapa incial y en su segunda etapa es cuantitativa. El padrón de empresas se obtuvo del SIEM (Sistema de Información Empresarial Mexicano) Se seleccionó una muestra no probabilística a conveniencia tomando como criterio la relevancia de las empresas en la región, se utilizó un instrumento validado de 25 preguntas. Los resultados obtenidos nos arrojan que las empresas realizan actividades de innovación organizacional, a pesar de desconocer en algunas ocasiones el concepto de la misma.competitiva.
AbstractCurrently the context has changed in an accelerated way, companies have evolved both echnologically and in their organization, and this has been due in large part to the level of innovation they have achieved. It is currently impossible to think of a business positioning without this fundamental tool, which has become an ally of the growth and permanence of mediumsized companies. The present investigation has as objective to know the degree of organizational innovation in the medium-sized company taking like object of study the automotive agencies of the city of Torreón. Considering these the last link of the automotive sector. The research is descriptive qualitative in its initial stage and in its second stage it is quantitative. The business register was obtained from the SIEM (Mexican Business Information System). A nonprobabilistic sample was selected at convenience, taking as a criterion the relevanceof the companies in the region.
Factors Contributing to Brain Drain in Thailand
Authors:   Samsenwittayalai School, Bangkok, Thailand., Prawetchayodom Kunyapon
Published: September 2021

The main objective of this study is to find the main factors which affect the migration rate and may lead to brain drain. Brain drain is the migration of highly trained or skilled people to wealthier countries where they can gain more salary and better standard of living. Moreover, brain drain can result in losing professionals and cause deterring effects on the countries. This has become an important issue as in recent years, more people have been leaving their countries to more developed countries. Thus, it is clear that brain drain is a significant issue in various countries including Thailand. Nevertheless, some countries, for instance Taiwan, have developed policies in order to improve their citizens’ life qualities. Finding the main causes of migration may help us understand more about the situation, which may lead to a solution for this issue. There are mainly three levels of brain drain, Geographical brain drain, Organizational brain drain and Industrial brain drain. In this paper, we mainly discuss Geographical brain drain since it has the most substantial impact on the country. Based on 250 respondents who are Thai inhabitants, the result shows that the most significant reason for migration is the standard of living, followed by social conditions.