bluuebunny/crossref_metadata_2025 huggingface dataset:
Muslims-immigrants: Reasons of Relocation to Ukraine and Related Problems (Based on the Material of Kyiv City)
Authors:   Taras Shevchenko National University of Kyiv, Suslo Maryna
Published: May 2022

The article tells about the issues of migration of Muslims to Ukraine, clarifies the reasons for relocating and analyzes the problems that foreign Muslims face when they relocate to Ukraine. The author found out that the most popular countries from which Muslims often relocate to Ukraine are former countries of the Soviet Union (Azerbaijan, Tajikistan, Uzbekistan, the Russian Federation), North Africa (Morocco, Lebanon, Algeria, Egypt), Turkey and the Middle East (Jordan, the United Arab Emirates, Kuwait, Syria, Saudi Arabia). The reasons for choosing Ukraine as a country for relocation among Muslim foreigners were established and analyzed. The motives of Muslim migrants to relocate to Ukraine were classified into four groups. According to Muslims, the reasons for migration were the following: high level of religious tolerance among Ukrainian citizens; availability of higher education (due to relatively low prices at universities); motivation to start one’s own business in Ukraine (due to the simple process of legal registration of a business). The article shows several examples of Muslims who came to Ukraine primarily for higher education and then remained here on a permanent basis, formed a family and acquired citizenship. In addition, the obstacles that arise on the way to a convenient relocation of Muslims to Ukraine were found out. The obstacles were divided into two groups. The first group is related to bureaucratic obstacles (difficulties with obtaining a residence permit, visa and citizenship of Ukraine). The second group includes household background problems: non-adaptation of Ukrainian cities and villages to the needs of the Muslim community (lack of Muslim communities (jamaat), insufficient number of mosques, places to pray, Muslim schools, halal food services, etc.).
DISTANCE EDUCATION PROCESS FROM THE PERSPECTIVE OF THEOLOGY FACULTY STUDENTS
Authors: Demir İsmail
Published: May 2022

It is clear that the current global health problems have made distance education a necessity rather than a choice. It is also known that this obligation contains many problems in terms of application infrastructure and hardware. In this context, this study, aim to examine the distance education process, which has become the most used education method in our country and all over the world in the 2020-2021 academic year because of the COVID-19 epidemic, according to the opinions of the students. The data of the study were collected from the students who took distance education courses in the undergraduate education of Çanakkale Onsekiz Mart University Faculty of Theology during the spring semester. The data used in the research were collected by the researchers with the previously prepared "Views of Distance Education Students on Distance Education" scale. According to the results, it was concluded that the vast majority (about 79.7%) of the students of the faculty of theology did not evaluate the distance education system that Çanakkale Onsekiz Mart University started to implement in a short time as efficient. The general findings of the research were evaluated within the following framework; students' view of distance education, the effectiveness of distance education, the effective use of distance education tools, active communication and success in distance education. As a result of these experiences, it is aimed that the data obtained about the opinions of the participants will shed light and guide the distance education applications that will be carried out in the future processes. In addition, within the scope of the study, some recommendations were made about various public and private fields, especially universities.
DOĞRUDAN YABANCI YATIRIMLARIN SOSYO-EKONOMİK BELİRLEYİCİLERİ: YÜKSELEN PİYASA EKONOMİLERİNDEN AMPİRİK KANITLAR
Authors: Naımoglu Mustafa , Özbek Sefa
Published: May 2022

Yükselen piyasa ekonomileri, son dönemde dünya ticaretinde aldıkları paydaki artış, yüksek büyüme hızları, artan nüfusu ve potansiyelleri açısından dünyada ekonomik ve sosyal olarak ağırlığının artması beklenen ülke grubunu temsil etmektedir. Söz konusu ülkelerde mevcut potansiyelin ortaya çıkması adına “teknoloji” önemli görülmektedir. Ancak yükselen piyasa ekonomileri teknoloji konusunda gelişmiş ülkelerin gerisinde kalmış ve potansiyellerini açığa çıkaramamıştır. Doğrudan Yabancı Yatırımlar (DYY) ise başta teknoloji olmak üzere hem ekonomik hem de sosyal anlamda birçok gelişmeyi bereberinde getiren önemli bir yatırım türüdür. DYY, giriş yaptığı ülkeye sermaye ve teknoloji transferi sağlamaktadır. Bu teknoloji transferinin yayılım etkisiyle diğer sektörlere de aktarılarak hem ekonomik hem de sosyal anlamda gelişmeyi sağlayacağı öne sürülmektedir. Dolayısıyla DYY’yi belirleyen ekonomik ve sosyal faktörlerin belirlenmesi önemli hale gelmektedir. Bu çalışmada 1996-2019 dönemi seçilmiş 22 yükselen piyasa ekonomisine ait veriler kullanılarak DYY’nin belirleyicileri kısa ve uzun dönemde araştırılmaktadır. Panel ARDL yöntemi kullanılarak elde edilen sonuçlara göre yolsuzluğun kontrolü, dışa açıklık oranı, toplam işgücü, gayri safi sabit sermaye ve hukukun üstünlüğü değişkenlerinde yaşanan artışlar DYY’yi olumlu etkilerken politik risklerin artması ise DYY girişlerini olumsuz yönde etkilemektedir.
Professional Readiness of Teachers for Distance Learning in Quarantine in Ukraine
Authors: Bykov Valerii , Gurzhii Andrii , Ovcharuk Oksana , Ivaniuk Iryna
Published: May 2022

W artykule omówiono wykorzystanie narzędzi cyfrowych do nauczania na odległość przez nauczycieli szkół średnich w Ukrainie. W 2021 r. przeprowadzono ankietę wśród nauczycieli i administratorów szkół pod kątem chęci korzystania z narzędzi cyfrowych. Ankieta Google została wykorzystana jako narzędzie ankietowe do zestawienia danych na temat gotowości nauczycieli i ich kompetencji cyfrowych. W ankiecie wzięło udział 1463 respondentów, którzy zidentyfikowali korzystanie z cyfrowych narzędzi do zdalnego nauczania w okresie kwarantanny spowodowanej pandemią COVID-19. Badanie przeprowadzono we wszystkich regionach Ukrainy. Wyniki pokazują, że nauczyciele muszą zdobywać wiedzę i praktyczne umiejętności w zakresie narzędzi cyfrowych do organizowania nauczania na odległość z uczniami. Narzędzie ankietowe zostało opracowane na podstawie europejskich podejść do określania poziomu kompetencji cyfrowych obywateli, w szczególności DogComp 2.0 i DigCompEdu. W opracowaniu przedstawiono propozycje rozwiązania kwestii podnoszenia poziomu kompetencji cyfrowych nauczycieli i tworzenia warunków do wykorzystania narzędzi cyfrowych do organizacji zdalnego nauczania w Ukrainie.
Features of Distance Learning Process at H.S. Skovoroda Kharkiv National Pedagogical University
Authors: Boichuk Yurii , Borysov Volodymyr , Hranovska Tetiana
Published: May 2022

Rozprzestrzenianie się pandemii COVID-19 spowodowało globalne zmiany, które wymagały adaptacji do nowych warunków życia. Zmiany te zaszły we wszystkich obszarach ludzkiej działalności, w szczególności w edukacji. W 2020 r. ludzie doświadczyli stanu izolacji i ograniczeń, które nigdy wcześniej nie istniały. Pojawiła się potrzeba nie tylko szybkiego reagowania na sytuacje kryzysowe, lecz także utrzymania procesu edukacyjnego i niezrywania więzi ze studentami, byłoby to bowiem katastrofalne dla systemu edukacji na poziomie krajowym. Zdalne nauczanie stało się codziennością nauczycieli na całym świecie w bardzo krótkim czasie. Przejście do nowego systemu nauczania wymaga poszukiwania innowacyjnych podejść do organizacji procesu edukacyjnego oraz dostosowania naukowców, nauczycieli i uczniów do nowych wyzwań i ich rozwiązań. Celem opracowania jest analiza stanu i cech uczenia się online oraz w formacie mieszanym w warunkach kwarantanny spowodowanej pandemią COVID-19. W pracy przeanalizowano cechy procesu zdalnego nauczania w warunkach kwarantanny spowodowanej rozprzestrzenianiem się koronawirusa SARS-CoV-2 w Narodowym Uniwersytecie Pedagogicznym im. H.S. Skoworody w Charkowie. Wskazano szereg problemów, z jakimi borykali się nauczyciele i studenci podczas szkolenia, a także sformułowano sugestie dotyczące poprawy uczenia online. Analiza pozwoliła na określenie najskuteczniejszych środków i zasobów internetowych do wykorzystania w warunkach kształcenia na odległość. Ponadto w badaniu scharakteryzowano cechy praktycznego przygotowania nauczycieli przed stażem oraz podczas stażu online lub w formacie mieszanym w instytucjach edukacyjnych na różnych poziomach.
A Review of Policing the Frontier: An Ethnography of Two Worlds in Niger by Micro Göpfert
Authors: DiGregorio Bernard D.
Published: May 2022

No abstract available.
Exploring the Anticancer and Anti-inflammatory Activities of Ferruginol in MCF-7 Breast Cancer Cells
Authors: Rengarajan Thamaraiselvan , Keerthiga Sundararaj , Duraikannu Sivakumar , Periyannan Velu
Published: May 2022

Breast cancer is one of the most prevalent cancers in women, and it has the highest mortality and morbidity worldwide. Breast cancer can be treated by hormone therapies, radiotherapy, surgery, and chemotherapy, but it is often associated with multiple deleterious effects. In this present work, we explored the anti-inflammatory and anticancer effects of ferruginol in MCF-7 cells. The effects of ferruginol on the cell growth and viability of MCF-7 cells were determined by the MTT assay and apoptotic markers. In addition, mitochondrial membrane potential (MMP) status as well as the levels of intracellular reactive oxygen species (ROS), superoxide dismutase, catalase, glutathione, thiobarbituric acid reactive substances (TBARS), caspase-3 and caspase-9 in the ferruginol-treated MCF-7 cells were examined. In addition, expression of inflammation-related proteins such as tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), nuclear factor kappa B (NF-κB) p65, inducible nitric oxide synthase (iNOS), and cyclooxygenase-2 (COX-2) was determined using Western blotting. Our findings showed that ferruginol activated the apoptosis in MCF-7 through a reduction of cell viability. Furthermore, ferruginol-treated MCF-7 cells also showed a decrease of MMP, an increase of ROS, TBARS, caspase-3 and caspase-9, as well as a reduction of antioxidant proteins. Ferruginol treatment is also downregulated the expression of inflammatory modulators such as TNF-α, iNOS, COX-2, NF-κB p65, and IL-6 in MCF-7 cells. In conclusion, ferruginol inhibits the inflammation and activated apoptosis by modulating the expression of inflammatory and apoptotic markers. Therefore, ferruginol may serve as a potential curative agent for breast cancer
Vena Cava-Atrium Anastomosis Liver Transplantation on Patient with Budd-Chiari Syndrome Caused by a Tumor Thrombus in the Inferior Vena Cava: A Case Report
Authors: Liang Wenjin , Liu Anxiong , Ye Shaojun , Tang Bo , Ye Qifa
Published: May 2022

Owing to the difficulty in removing hepatocellular carcinomas associated with extrahepatic metastases and the fact that they may further metastasize along the vessels, liver transplantation is not currently recommended for patients with these conditions. We report a case of Budd-Chiari syndrome (BCS) caused by hepatic carcinoma and tumor thrombus in the inferior vena cava (IVC). Backed by the strong desire of the patient to undergo liver transplantation, we decided to perform vena cava-atrium anastomosis liver transplantation (VCAALT) on the patient after a comprehensive evaluation of the patient’s condition. The patient recovered quickly and was discharged after 1 month of consolidation chemotherapy. BCS caused by an IVC tumor thrombus is a rare clinical case, and selecting an appropriate treatment is difficult. In this case, we successfully solved the clinical problem of BCS in a patient with hepatocellular carcinoma combined with an IVC cancer embolus using VCAALT.
Research Progress on the Role of Enzymes Involved in Histone Methylation in Hepatocellular Carcinoma
Authors: Wang Zhiqian , Dai Hongliang , Su Huizhao , Lai Shihui , Dai Luo , Liu Xiaomeng , Wang Yan , Shu Gege , Tang Bo , Li Yang
Published: May 2022

Abnormal histone modification plays an important role in the occurrence and development of hepatocellular carcinoma (HCC). As an important histone modification pattern, histone methylation is closely related to the occurrence and development of HCC. In recent years, a large number of studies have shown that abnormal histone methylation is involved in the proliferation, invasion, and metastasis of HCC and is related to the prognosis of HCC patients. Enzymes associated with histone methylation play an important role in the histone methylation process. Exploration of the relationship between histone methylation and HCC, and in-depth studies on the pathogenesis of the disease would contribute to the finding of tumor markers and the development of targeted drugs, which is of great significance for the diagnosis, treatment, and prognosis of patients with HCC. This review summarizes the research progress regarding the enzymes involved in histone methylation in HCC.
Animal Models of Transplantable Bladder Cancer: A Review
Authors: Shen Zongyi , Zhang Fuhan , Wang Luyao , Yang Zhao , Li Chong
Published: May 2022

Bladder cancer (BC) is one of the most common cancers worldwide. At present, numerous treatments of BC are available, but the response to treatment varies from patient to patient. Hence, there is a need to re-explore the mechanisms and biology of BC development and develop robust and effective therapies against BC. Animal models are the powerful tools which have been and are still used in studies that link the knowledge gap between fundamental and clinical research. Animal models of transplantable BC is the most frequently used animal models that are established by transplanting BC cell lines or BC tissues into the animal to form a tumor. Recapitulation of human cancer condition in these animal models enables the scientists to further explore BC development, progression, and metastasis. In addition, the use of animal models of transplantable BC facilitates the identification of drug targets that are the primary part of an attempt to reverse therapeutic resistance and improve clinical outcomes. Overall, animal models present themselves as critical tools which help address the complex issues in BC research. This review summarizes the classification of animal models of transplantable BC, discusses advanced methods of establishing and monitoring tumor models, and compares the advantages and disadvantages of each establishment method.
The Role of FGFR3 in the Diagnosis and Treatment of Bladder Cancer: A Review
Authors: Wei Hairong , Wan Weiming , Zhan Hui , Wang Jiansong , Chen Jian
Published: May 2022

Bladder cancer is the most common malignant tumor of the urinary system. The muscle-invasive bladder cancer (MIBC) is associated with poor prognosis; therefore, new systemic treatment is urgently needed. Although the prognosis of non-muscle-invasive bladder cancer (NMIBC) is relatively good, it is highly recurrent and requires lifelong monitoring that brings huge burden to patients and medical services. Thus, improving the diagnosis and treatment of bladder cancer is still a very important milestone to achieve. Fibroblast growth factor receptor 3 (FGFR3) gene mutations frequently occur in bladder cancer. The mutations are related to the development, progression, and prognosis of bladder cancer and may serve as effective biomarkers and therapeutic targets. An increase in the understanding of FGFR3 in recent years is expected to lead to new insights into the diagnosis and treatment of bladder cancer, thereby prolonging the survival of patients. Combined with relevant clinical research and basic research, this article reviews the application of FGFR3 in the diagnosis and treatment of bladder cancer.
Cancer and Its Relationship with Dietary Patterns in Cordoba, Argentina
Authors: Pou Sonia Alejandra , Aballay Laura Rosana , Niclis Camila , Tumas Natalia , Román María Dolores , Muñoz Sonia Edith , Coquet Julia Becaria , Díaz María del Pilar
Published: May 2022

Introduction: Diet is an important factor in the occurrence of cancer. Its approach to dietary patterns has attracted increasing attention in nutritional epidemiology, but is rarely used in Latin America. Objectives: To determine the dietary patterns of the adult population in Cordoba (Argentina) and assess their impact on the risk of colorectal cancer (CRC), breast cancer (BC), prostate cancer (PC) and urothelial cancer (UC). Methods: Case-control studies of CRC, BC, PC and UC were conducted from 2006 to 2012. The food pattern was determined by principal component factor analysis. ORs was estimated by multilevel logistic regression. Results: Characteristic patterns were found independently in the general population and in men and women. In the overall population, the Southern Cone and Sugary Drinks Patterns showed a promoter effect for CRC and UC, and the Prudent Pattern showed a protective effect. In women, BC is directly associated with the Female Southern Cone Pattern, Rural and Starchy patterns, as opposed to the Prudent Pattern. In men, the Male Southern Cone pattern, Sugary Drinks and Typical Moderate Patterns showed a promoting effect on PC. Conclusion: In order to prevent cancer, it is necessary to promote the normal intake of vegetables, fruits and dairy products (moderate intake for men) and reduce the intake of red meat (mainly fat), processed meat, polysaccharide vegetables, wine and sugary drinks. It is recommended that men eat eggs in moderation and women eat refined grains, pastry products, oil and mayonnaise in moderation.
Research Progress in Bladder Cancer Diagnosis and Therapy
Authors: Chen Xuanhe , Tan Xue , Fan Fangjing , Li Chong
Published: May 2022

Bladder cancer is one of the most frequent malignancies associated with high morbidity, high mortality, as well as inconvenient post-operative recurrence. Typical symptoms of bladder cancer include hematuria, frequent urination, nocturia, and dysuria. Most of the primary bladder tumors are non-muscle invasive, which do not grow in muscularis propria, and are often treated with surgery. Muscle-invasive tumors are more common in recurrent diseases, which have higher risk of metastasis. In addition, the treatments of these tumors have more serious side effects such as radical cystectomy with neoadjuvant chemotherapy. The mechanisms of pathogenesis and metabolisms of bladder cancer are yet unclear. However, several genetic mutations and influences from external environment have been proven to be the risk factors for bladder cancer. Along with the developments in researches, the understanding about bladder cancer formation and treatment has been improved over the years. Further studies on medical detection through new technologies are beneficial to the diagnosis and treatment of bladder cancer. This review aimed to provide a general view of some recent progresses of bladder cancer’s pathogenesis, diagnosis, treatment, and developments on research methods.
Evaluating Transcervical Lymphadenectomy in Systematic Diagnosis of Lung Cancer
Authors: García-Rodríguez Miguel Emilio , Socarras-Montalvan Kevys , García-Basulto Miguel Javier , Benavidez-Márquez Arian , Koelig-Padrón Raúl
Published: May 2022

Background: The study of mediastinal lymph node metastasis in patients with lung cancer is very important to formulate treatment strategies. Objective: To explore the value of transcervical lymphadenectomy in the systematic diagnosis of lung cancer. Methods: Transcervical lymphadenectomy was used as part of the systematic diagnosis of lung cancer in Hospital Universitario Manuel Ascunce Domenech in Camagüey. The universe consisted of 346 patients and the sample was a simple random probability type, consisting of 65 patients. Results: It was mainly male, over 60 years old. The most common histological type is adenocarcinoma, and the upper lobe is the most affected. A total of 205 lymph nodes were resected, most of which were positive and histologically negative, mainly in lymph nodes less than 1 cm diagnosed by CT. Staging metastasis existed in clinicopathological correlation, and the sensitivity and specificity of the study sample were 100%. There are few complications. Conclusion: Transcervical lymphadenectomy is an effective method for the diagnosis of lung cancer and mediastinal lymph node metastasis.
Primary Bladder Adenocarcinoma: A Case Report
Authors: Huang Yu , Wang Haifeng , Li Haihao , Liu Jingyu , Wang Jiansong
Published: May 2022

Primary bladder adenocarcinoma (PBA) is rarely seen in the clinical setting at present. Bladder adenocarcinoma has a special biological behavior, as well as high invasive and metastatic potential. In addition, it is very difficult to diagnose PBA at an early stage. Having similar clinical manifestation to urothelial carcinoma and metastatic adenocarcinoma of the bladder, the differential identification and diagnosis have become more complicated. A majority of adenocarcinoma is not sensitive to radiation and chemotherapy, and thus, the prognosis of PBA is generally poorer. Currently, surgery serves as the principal mode of treatment. In this case report, we had observed a PBA case for 1.5 years, and no recurrence and metastasis had been reported.
Research Progress in Neoadjuvant Chemotherapy for Bladder Cancer
Authors: Li Chong
Published: May 2022

Neoadjuvant chemotherapy is a systemic pre-operative treatment which can eliminate microscopic lesion of bladder cancer including metastatic lesion. It significantly improves 5-year survival rate of bladder cancer. For patients with non-organ-confined bladder cancer, neoadjuvant chemotherapy combined with radical cystectomy can be a better treatment option. This article covers the current status of bladder treatment and the rise of neoadjuvant chemotherapy, advantages and disadvantages of neoadjuvant chemotherapy, prediction of efficacy of neoadjuvant chemotherapy, the choices for neoadjuvant chemotherapy patient, improvement of neoadjuvant chemotherapy, and large-scale clinical trial of neoadjuvant chemotherapy for bladder cancer.
Uncertainty of Disease Diagnosis in Elderly Cancer Patients
Authors: Castro María Inés Johnson , Arenas Paulina Hurtado
Published: May 2022

Objectives: To explore the relationship between sociodemographic (SD) characteristics, level of uncertainty (LU) and cancer diagnosis in the elderly. Materials and methods: The National Cancer Corporation conducted a 6-week quantitative, cross-sectional, non-probability related sample study on cancer patients over 60 years old. Merle Mishel uncertainty rating scale was used for data collection. Descriptive statistical analysis was performed using central trend measurement, and correlation analysis was conducted using Pearson correlation, analysis of variance and linear regression model. Result: 54.8% of the elderly have high LU. Education level was negatively correlated with LU (R = 0.54, P = 0.0492). The variance of 28.99% (adjusted R2, 35gl) in LU can be explained by education level. There was no statistically significant correlation with other SD characteristics. Conclusion: According to the educational characteristics of the elderly in the National Cancer Corporation, a linear regression model was established to predict LU.
RICE50+: DICE model at country and regional level
Authors: Gazzotti Paolo
Published: May 2022

Benefit-cost Integrated Assessment Models (IAMs) have been largely used for optimal policies and mitigation pathways countering climate change. However, the available models are relatively limited in the representation of regional heterogeneity. This is despite strong evidence of significant variation of local mitigation costs and benefits, institutional capacity, environmental and economic priorities. Here, I introduce RICE50+, a benefit-cost optimizing IAM with more than 50 independently deciding regions or countries. Its core foundation is the DICE model, improved with several original contributions. These include new calibrations on actual mitigation cost data, full integration of recent empirically based impact functions, alternative socioeconomic reference projections as well as normative preferences, including welfare specifications explicitly featuring inequality aversion. Due to its high level of regional detail, the model can support researchers in better investigating the role of heterogeneity in international cooperation, cross-country inequalities, and climate change impacts under a variety of mitigation pathways and scenarios.
Prevalence of myopia and its risk factors in school going children
Authors: BJ Sannidhi , Sujatha M A Rani , Sinha Durgesh Kumar , Karanvi Shweta , KC Ranjitha , Bokhari Syed Saifullah
Published: May 2022

: To identify the prevalence of myopia and its risk factor among the school going children.

Study sample included school going children between 5 and 16 years of age. We recorded degree of myopia by autorefractometer and streak retinoscopy after mydriasis, and students with refractive error of ≥-0.5 D for at least one eye were considered as myopic. Strict inclusion and exclusion criteria were followed.

A total of 764 children were considered for the study. Prevalence of childhood myopia in hospital based study was 16.5 % with male to female ratio 53:47. Headache was most common complain for hospital visit. Most common age group affected was 7-12 and 13-16 years. In 18.53% of patients family history was present.

Due to high magnitude of uncorrected myopia, it appears to be a public health problem both in urban areas, which suggest that an increase in outdoor activity may help to reduce the magnitude of the problem.
Gamification in Non-Formal Adult Educational Practices
Authors: Samodumska Olena , Zarishniak Inna , Tarasenko Halyna , Buchatska Svitlana , Budas Iuliia , Tregubenko Iryna
Published: May 2022

The presented article reveals and generalizes the experience of using gamification in the context of non-formal adult educational practices.
From this perspective, the basic understanding of gamification is defined, priorities are set for the use of gamification components, the non-game context as a basis for gamification of training course programs is analysed. An empirical study of extrapolated game mechanics in non-formal adult educational practices of Adult Education Centres has been carried out. Definitions are given regarding consideration of social and psychological types of adult students for application of gamification of non-formal education.
In the article the gamified educational non-game context is formulated as non-imitation with apreserved invariable content of educational activity at changingthe way of organization of this activity.
Among the most common game mechanics found to meet the priority needs of adult students are those in which reward was offered for the task; balanced competition was stimulated; different types of interaction were envisaged; an opportunity was provided to share results and achievements outside of training; quick feedbackwas provided.
Variability of extrapolation of game mechanics into non-formal educational practices of adults concerns the following main didactic categories of educational programs: learning objectives; the forms of training organization; teaching methods; learning motivation; control of learning outcomes.
Combining Ability Analysis for Seed Yield and Component Traits over Season in Blackgram [Vigna mungo (L.) Hepper]
Authors: Vadivel K. , Manivannan N. , Mahalingam A. , Satya V.K. , Vanniarajan C.
Published: May 2022

Combining ability analysis over two seasons was carried out in blackgram involving four lines, five testers and 20 crosses. Variance due to environments was significant for all the characters. Variances due to genotypes and genotype × environment was significant for all characters, except for number of pods per cluster. It indicated that environment plays a major influence on the estimates of combining ability effects. The estimates of additive and dominance variances revealed preponderance additive gene action for all the characters, except number of pods per cluster. Parents viz., MDU 1, Vamban 3, Mash 1008 and VBN 8 were good general combiners for seed yield per plant and yield component traits. Hybrids viz., MDU 1 × Mash 1008 and MDU 1 × VBN 8 recorded high per se and non-significant sca effects for most of the characters including seed yield per plant indicating the role of additive gene action. Hence, these crosses could be used for further selection through pedigree breeding to obtain high yielding segregants.
Donor Action in Pakistan: A Comparative Case Study of CDIP and AAWAZ
Authors:   Collective for Social Science Research, Khan Ayesha , Qidwai Komal
Published: May 2022

This paper analyses findings from a study of the Consolidating Democracy in Pakistan (CDIP) and AAWAZ Voice and Accountability programmes, both funded by the UK government. The study is a contribution to the A4EA research programme workstream ‘Unpacking Donor Action’. It is based on a secondary literature review, analysis of programme documents, and qualitative interviews with individuals who worked with these programmes at various levels. The analysis explores the interaction between the two programmes to argue they produced strong synergies as an outcome of their adaptive programming approach. The synergising took place under conditions of growing constraints on civic society and the democratic process during the programme life cycles. The paper concludes that the beneficial interaction effects were an outcome of strategic partnerships with a common implementing agency (DAI) and deep engagement with civil society organisations, but without empowered local government and on-going donor support the empowerment effects are difficult to sustain.
Advances in managing arable weed propagules
Authors:   University of Rostock, Germany, Gerowitt Bärbel , Baraibar Barbara ,   University of Lleida – Agrotecnio, Spain
Published: May 2022

The soil propagule bank acts as a reservoir from where weeds colonize arable fields and is composed of weeds seeds and ramets, which are fragments from clonal growth of perennial weeds. This chapter first describes the ways by which weed propagules have been historically managed. It then discusses advances in managing weed propagules with a special focus on inactive propagules i.e. those that are not germinated or sprouted. This approach constitutes a novel way to look at propagule bank management as it circumvents dormancy as a protection strategy for weed propagules. Ways of managing inactive propagules reviewed in the chapter include, based on the target stage, crop harvest (weed seed crushing and milling), weed seeds on the soil surface (weed seed predation), weed propagules in the soil matrix (weed seed decay and mechanical destruction of ramets) and the process chains around arable farming (manure or crop biomass transport and biogas plants). Finally, the chapter suggests new avenues for research.
Moderation And Mediation Role of Teaching Image In The Relationship Between Preferring Teaching And Attitude
Authors: ŞATA Mehmet , ÇORBACI Ergün Cihat , KOYUNCU Mahmut Sami
Published: May 2022

The aim of this research is to examine the mediation and moderation role of the professional image of teaching in the relationship between teacher candidates' attitudes towards the teaching profession and their reasons for choosing the teaching profession. For this purpose, the research was conducted through a correlational model based on the quantitative research approach. The sample of the study consists of 663 pre-service teachers selected by convenient sampling method. Data collection tools consist of the scale of attitude towards teaching, the scale of choosing the teaching profession, and the scale of teaching image. In the analysis of the collected data, descriptive statistics, correlation analysis, confirmatory factor analysis, generalized linear mediation model, and moderation model were used. As a result of the study, it was determined that the image of the teaching profession had a partial mediation role in the relationship between the attitude towards teaching and choosing the teaching profession but did not show the moderation role. According to the results, considering that professional image is a mediator in the relationship between the level of attitude towards the teaching profession and choosing the teaching profession, necessary measures should be taken to increase the level of perception towards the professional image.
Profiles on Adolescent Internet Addiction: A Taxonomy with Latent Profiling Analysis
Authors: Vieira Martins Miguel , Gouveia Rodrigues Ricardo , Saraiva Carvalho Paula , Ferreira Sofia
Published: May 2022

Introduction: Addictive use of the Internet among adolescents has been linked to a negative psychosocial development, but more detailed information about Internet addiction (IA) profiles is warranted. The aim of this study was to identify IA profiles in adolescents based on psychometric properties from the Internet Addiction test (IAT), and to assess the associations between the profiles and personal/social behaviors.Material and Methods: A cross-sectional study was performed at public schools from a Portuguese region, using a survey that included the IAT. We performed a latent profiling analysis to identify the profiles of adolescent based on the six IAT dimensions.Results: From the 1915 responses, students’ mean age was 15 ± 1.82 years, 53% were female. IA was found in 16.5%. Four models were estimated with latent profiling analysis. Analysis of the models by fit statistics, integrated completed likelihood and Lo-Mendell-Rubin likelihood ratio test, indicated a better solution with four profiles: Profile 1 – Worrisome lack of control users, Profile 2 – Balanced users, Profile 3 – Worrisome anticipation users, Profile 4 – Problematic users.Conclusion: This study provides a characterization of different patterns in adolescents’ traits and behaviors associated with Internet addiction. Preventive approaches may be useful to reduce IA.
Monetary Convergence Across the Economic Community of West African States: Lessons for the Envisioned West African Monetary Union
Authors: Alemna David
Published: May 2022

Since its inauguration, the Economic Community of West African States has stressed its desire to advance regional integration through the establishment of a common single currency (the Eco). This policy has been considered advantageous given the economic benefits derived from the existence of one of the oldest sub-regional monetary unions across French-speaking West African Economies. For this reason, the West African Monetary Zone was created as a suggested second monetary zone consisting of English-speaking countries in the region in anticipation that in the long run, the two would converge. While empirical studies into the feasibility of achieving monetary integration in West Africa have provided some understanding of causal notions and possible effects, very few studies embrace complexity theory or attempt to use complexity-related conceptual notions in the identification and interpretation of patterns produced in longitudinal applications. Using both empirical and theoretical methods, this paper provides a unique longitudinal application of Dynamic Patterns Synthesis as an exploratory tool for observing the potential complexities that the proposed single currency arrangement across West Africa is likely to pose. The findings highlight multiple conjunctural causation in observing convergence and unpredictability across the Monetary Zone. These observations suggest more time is needed to achieve an established single currency.
A One-Dimensional Serial ECG Diagnosis Approach Based on Ensemble Deep Learning
Authors: Jiang Siqing , Chen Xiaojun , Gao HaoJun , Wu Jian
Published: May 2022

An electrocardiograph (ECG) reflects the health of the human heart and is used to help diagnose arrhythmia and myocardial infarction(MI) in clinical practice. Early diagnosis of arrhythmia helps implement preventive measures and plays a crucial role in saving a patient's life. With the increasing demand of clinicians for ECG analysis technology, intelligent detection and diagnosis of ECG signals has become a more efficient means to assist physicians in diagnosing cardiovascular diseases. This paper introduces an ECG diagnosis approach based on an ensemble deep learning combination of CNN(convolutional neural network) and SLAP(stacked-long short term memory architecture for prediction) architecture. ECG data is denoised and further divided into single heartbeats to achieve data standardization and sample diversity. Adam optimizer and BCEwithlogitsloss multi-classification loss function were used to enhance the model effect, and the system achieved the classification effect of 99.3% average accuracy, 99.0% F1-value, and 99.2% sensitivity in MIT-BIH standard database classification. It also shows good generalization ability on the Tianchi data set.
Rigpa and Shekhinah – The Convergence of Mystical Experiences
Authors: Bretan Andrei
Published: May 2022

AbstractEliadean analysis reveals the passive or the receiving aspect of the symbol of the presence of God, the Aron ha-Berit or the Ark of the Covenant of the ancient Hebrews. Consequently, we are able to establish the inner mode or the symbolic structure of Yahweh. The Sefirotic Tree of medieval Kabbalists replicates the symbolic structure of Yahweh as revealed by the Ark of the Covenant. The feminine aspect of the presence of God remains in the consciousness of the Jewish people and blossoms in the medieval Kabbalah. It is precisely the feminine aspect that is capable of transcendence or able to acquire an infinite character.The dynamic aspect of the Shekhinah is reflective of the changes it undergoes as a result of receiving the flow from the Sefiroth above. Looking at the Sefirotic Tree as a reflection of the mind of the Kabbalist, Shekhinah represents the human ability for acceptance. A narrow acceptance corresponds to a narrow mind, whereas the infinite ability to accept corresponds to the infinite mind. A particular description of the formative function of Shekhinah represents a different mode of cognition. Similar descriptions are found in the Tibetan Buddhist tradition related to the concept of Rigpa. In order to find out the equivalence of these descriptions we analyzed the latter and found that Shekhinah and Rigpa converge at both the foundational and transcendental levels.
An IPA of Health Perceptions Among Korean and Japanese Adolescents During the Prolonged COVID-19 Pandemic
Authors: Youn Hyun Su , Lee Eui jae , Riki Sokou , Mizno Chizuru , Kim Chulmin , Okade Yoshinori
Published: May 2022

This study aims to comparatively analyse the importance and performance of the health of Korean and Japanese adolescents during the prolonged coronavirus disease 2019 (COVID-19) pandemic. Data were collected from 1,341 sampled Korean and Japanese adolescents in September 2021 through online and offline surveys. The collected data were analysed with frequency analysis, reliability testing, t-test, and importance-performance analysis (IPA). The following results were obtained. First, adolescents in the two countries perceive various factors about health as important during the COVID-19 pandemic, but their performance is weak compared to their perceived importance. Second, Korean adolescents had greater perceived importance for all factors of health perception compared to their Japanese counterparts. Third, the difference in performance between Korean and Japanese adolescents was especially evident for ‘hygiene management’, and there were significant differences in performance in ‘disease management’ and ‘physical activity’. Fourth, in quadrant 4 of the IPA matrix, there were similarities and differences in a particular factor of health perception between Korean and Japanese adolescents. Based on these results, we proposed measures to emphasise the importance of health and enhance performance among Korean and Japanese adolescents.
Reinforcement of Tooling Using Residual Stresses Generated by Cladding by Arc Welding
Authors: Israr Rameez , Buhl Johannes , Härtel Sebastian , Bambach Markus
Published: May 2022

Cladding is typically used to protect components from wear and corrosion while also improving the aesthetic value and reliability of the substrate. The cladding process induces significant residual stresses due to the temperature difference between the substrate and the clad layer. However, these residual stresses could be effectively utilized by modifying processes and geometrical parameters. This paper introduces a novel methodology for using the weld-cladding process as a cost-effective alternative to various existing reinforcement techniques. The numerical analyses are performed to maximize the reinforcement of a cylindrical tool. The investigation of how the weld cladding develops compressive stresses on the specimen in response to a change in the weld beads and the welding sequence is presented. For the benchmark shape, experimental verification of the numerical model is performed. The impact of the distance between the weld beads and the effect of the tool diameter is numerically investigated. Furthermore, the variation in compressive stresses due to temperature fluctuations during the extrusion process has been evaluated. The results showed that adequate compressive stresses are generated on the welded parts through the cladding process after cooling. Hence, the targeted reinforcement of the substrate can be achieved by optimizing the welding sequence and process parameters.
Benefits of Daytime Naps on Consecutive Days for Motor Adaptation Learning
Authors: Murata Yusuke , Nishida Masaki , Ichinose Atsushi , Suyama Shutaro , Youn Sumi , Shioda Kohei
Published: May 2022

Daytime napping offers benefits for motor memory learning and is used as habitual countermeasure to improve daytime functioning. A single napping is shown to ameliorate motor memory learning, although the effect of consecutive napping on motor memory consolidation remains unclear. This study aimed to explore the effect of daytime napping over multiple days on motor memory learning. Twenty university students were divided into the napping group and no-nap (awake) group. Napping group performed motor adaption tasks before and after napping for three consecutive days, whereas no-nap group performed the task on the similar time schedule as the napping group. In addition, a subsequent retest was conducted one week after the end of the intervention. The speed to complete the task of the napping group was significantly shorter than that of the awake group in the retention test. No significant difference was confirmed for trajectory length to complete the task. Thus, consecutive napping may facilitate motor learning and motor memory consolidation in the long term.
Supramolecular Aggregation of Nanoparticles on Aluminum And Gold Surfaces Occurring in Bovine Serum Albumin Solutions
Authors: Salanov Aleksei , Serkova Alexandra , Zhirnova Anastasia , Perminova Larisa , Kovalenko Galina
Published: May 2022

The supramolecular aggregation processes occurring on metallic (aluminum and gold) surfaces in aqueous solutions of bovine serum albumin (BSA) during drying were studied using advanced scanning electron microscopy (SEM). The possible mechanism for the formation of amazing intricate fractal structures on metallic surfaces was proposed based on the analysis of SEM images, size distribution diagrams and EDX-scanning elements distribution maps.
Mapping of Ecological Corridors as Connections between Protected Areas: A Study Concerning Sardinia, Italy
Authors: Isola Federica , Leone Federica , Zoppi Corrado
Published: May 2022

An important set of Ecosystem services (ES) provided by Green infrastructures (GI) consists of habitats and species protection and improvement, which coincides with biodiversity conservation and enhancement. From this perspective, one of the most outstanding features of GI is its attitude towards addressing the negative impacts of habitat fragmentation on the supply of ES related to biodiversity by strengthening the effectiveness of connections between protected areas. Building on a methodological approach defined in previous studies by Cannas, published in a set of articles between 2017 and 2018 [1–4], this study identifies ecological corridors (EC) with reference to the spatial layout of a set of protected areas. Moreover, such methodological approach is implemented into the context of the Sardinian region to map EC, which form, together with protected areas, a network representing the spatial framework of a regional GI. Finally, the relation between the EC and the spatial taxonomy of the landscape components featured by environmental relevance (LCFER), identified by the Regional Landscape Plan is analyzed, in order to assess if, and to what extent, the present regional spatial zoning code can be used as a basis to implement regulations aimed at protecting EC.
An Ice Microphysics-Based Machine Learning Approach to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements
Authors: Das Spandan , Wang Yiding , Gong Jie , Ding Leah , Munchak Stephen Joe , Wang Chenxi , Wu Dong , Liao Liang , Olson William S. , Barahona Donifan O.
Published: May 2022

Precipitation type is a key parameter used for better retrieval of precipitation characteristics as well as to understand the cloud-convection-precipitation coupling processes. Ice crystals and water droplets inherently exhibit different characteristics in different precipitation regimes (e.g., convection, stratiform), which reflect on satellite remote sensing measurements that help us distinguish them. The Global Precipitation Measurement (GPM) Core Observatory’s Microwave Imager (GMI) and Dual-Frequency Precipitation Radar (DPR) together provide ample information on global precipitation characteristics. As an active sensor, DPR provides an accurate precipitation type assignment, while passive sensors like GMI are traditionally only used for empirical understanding of precipitation regimes. Using collocated precipitation type flags from DPR as the “truth”, this paper employs machine learning (ML) models to train and test the predictability and accuracy of using passive GMI-only observations together with ancillary information from reanalysis and GMI surface emissivity retrieval products. Out of six ML models, four simple ones (Support Vector Machine, Neural Network, Random Forest, and Gradient Boosting) and the 1-D convolutional neural network (CNN) model are identified to produce 90% - 94% prediction accuracy globally for 5 types of precipitation (convective, stratiform, mixture, no precipitation, and other precipitation), which is much more robust than previous similar effort. One novelty of this work is to introduce data augmentation (subsampling and bootstrapping) to handle extremely unbalanced samples in each category. Careful evaluation of Impact matrices demonstrate that polarization difference (PD) and surface emissivity at high-frequency channels dominate the decision process, which are consistent with the physical understanding of polarized microwave radiative transfer over different surface types, as well as in snow and liquid clouds with different microphysical properties. Furthermore, the view-angle dependency artifact that DPR precipitation flag bears with does not propagate into the conical-viewing GMI retrievals. This work provides a new and promising way for future physics-based ML retrieval algorithm development.