bluuebunny/crossref_metadata_2025 huggingface dataset:
Complement system as the potential therapeutic target in the management of COVID-19 patients
Authors: Parsamanesh Gilda , Farhangnia Pooya , Karimi Milad , Khosrozadeh Ghomi Amirhossein , Dehrouyeh Shiva , Aghamajidi Azin
Published: December 2022

The emerging COVID-19 caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has been raised as a global health challenge. Despite the breakthrough in the development of the COVID-19 vaccine, it still continues as a serious crisis, worldwide. The aberrant immune responses are strongly associated with the severity of the disease and an increased rate of morbidity and mortality among COVID-19 patients. The complement cascade activation is mediated by classical, lectin, and alternative pathways which could induce an inflammatory state during the COVID-19 infection. The growing body of research suggests that complement system activation plays an important role in the immunopathogenesis of SARS-CoV-2. Therefore, the blockade of complement cascades may be an effective approach to prevent the multi-organ complications of COVID-19. In this review, we will highlight the role of the complement system in the immunopathology of COVID-19, emphasizing the potential therapeutical targets to ameliorate COVID-19 infection.
Applying Models of Values, Attitudes and Behaviors (VAB) in Studying Green Purchasing Behavior of Consumers in Vietnam
Authors: Nguyễn Viết Bằng , Bùi Hồng Linh
Published: December 2022

Người tiêu dùng ngày càng nhận thức được các hậu quả về môi trường và xã hội của việc mua hàng của họ. Dựa trên mô hình lý thuyết giá trị, thái độ và hành vi (VAB), bài viết thực hiện nghiên cứu về hành vi tiêu dùng xanh của người tiêu dùng ở Việt Nam. Bài viết sử dụng phương pháp nghiên cứu định lượng thông qua khảo sát 333 người tiêu dùng. Kết quả cho thấy: Thái độ đối với các vấn đề môi trường, Thái độ đối với các lợi ích sinh thái - xã hội, và Thông tin sản phẩm xanh có tác động tích cực đến hành vi tiêu dùng xanh. Kết quả cũng cho thấy mối quan hệ giữa Ý thức môi trường, Thái độ đối với quảng cáo xanh, Thái độ đối với các vấn đề môi trường, Thái độ đối với các lợi ích sinh thái-xã hội. Những phát hiện của nghiên cứu này cung cấp những hiểu biết có giá trị về tác động của các yếu tố đối với hành vi mua hàng xanh.
Foreign Direct Investment Absorption Capacity across Central Provinces and Cities in Vietnam
Authors: Nguyễn Hồng Sơn , Lý Đại Hùng
Published: December 2022

Bài viết phân tích năng lực hấp thụ vốn đầu tư trực tiếp nước ngoài (FDI) tại các tỉnh, thành phố trực thuộc Trung ương ở Việt Nam, với phương pháp hồi quy với dữ liệu chéo, dựa trên một bộ dữ liệu về 63 địa phương từ năm 2010 đến 2019. Lượng vốn FDI sẽ gia tăng khi có sự cải thiện của tốc độ tăng trưởng trưởng kinh tế, chất lượng nguồn nhân lực và cơ sở hạ tầng. So với năng lực hấp thụ vốn FDI được dự báo bởi mô hình, ba thành phố gồm Hà Nội, Đà Nẵng và Cần Thơ vẫn còn không gian để thu hút thêm vốn FDI, trong khi Hải Phòng và thành phố Hồ Chí Minh đang thu hút nhiều vốn FDI hơn mức dự báo. Do vậy, nhóm ba thành phố đầu tiên có thể nâng cao chất lượng của các đột phá chiến lược để thu hút thêm vốn FDI, trong nhóm hai thành phố còn lại có thể chuyển qua giai đoạn phát triển chú trọng về chất lượng của dòng vốn FDI. Ngoài ra, bài viết cũng gợi mở rằng chất lượng nguồn nhân lực cần trở thành ưu tiên chính sách hàng đầu trong ba đột phá chiến lược để tăng cường thu hút vốn FDI tại các địa phương.
The Impact of Ewom Adoption on Accommodation Booking Behavior and the Moderating Role of Trust in Ewom
Authors: Hoàng Thị Phương Thảo , Trần Diệu Hằng
Published: December 2022

Đánh giá của người tiêu dùng trực tuyến cung cấp một lượng thông tin chưa từng có để người tiêu dùng đánh giá dịch vụ trước khi mua hàng. Chúng tôi sử dụng lý thuyết kích thích-xử lý-hồi đáp SOR để điều tra ảnh hưởng của sự tiếp nhận thông tin trong bối cảnh truyền miệng điện tử (EWOM) lên hành vi đặt dịch vụ lưu trú trực tuyến (DVLT) và vai trò điều tiết của niềm tin EWOM trong việc dự đoán hành vi (HV) đặt DVLT của khách hàng (KH). Nghiên cứu sử dụng phân tích cấu trúc tuyến tính (SEM) với dữ liệu khảo sát 412 KH đặt DVLT trên các đại lý du lịch trực tuyến (OTA). Kết quả cho thấy rằng sự tiếp nhận EWOM có ảnh hưởng tích cực đến HV, thái độ khách hàng với OTA và thái độ KH với DVLT có vai trò trung gian trong mối tác động giữa sự tiếp nhận EWOM lên HV đặt DVLT của khách hàng (KH), niềm tin EWOM có tác động điều tiết mối quan hệ giữa sự tiếp nhận EWOM lên HV đặt DVLT của khách hàng (KH), từ đó nhấn mạnh vai trò của niềm tin trong bối cảnh dịch vụ trực tuyến.
Factors Influencing Gen Z's Decision to Continue Purchasing Fresh Food on E-Commerce Platforms in the New Normal
Authors: Lê Thị Hồng Minh , Phạm Thế Cường , Bùi Thị Diệu Hiền , Nguyễn Thị Quỳnh Linh , Nguyễn Hoài Nhi , Vi Đức Hùng
Published: December 2022

Dịch bệnh Covid-19 lan rộng dẫn tới hình thức mua sắm trực tuyến trên các sàn thương mại điện tử (TMĐT) trở nên vượt trội hơn vì trong thời gian giãn cách xã hội, người dân bị hạn chế đi lại. Do vậy, nhu cầu mua các loại thực phẩm, hàng hóa của người tiêu dùng tăng mạnh. Tuy nhiên, trong thời điểm “Bình thường mới” hiện tại, liệu họ còn chọn lựa hình thức mua trực tuyến hay quay về các hình thức truyền thống trước đây? Để giải đáp, tác giả đã quyết định làm đề tài để tìm hiểu các yếu tố ảnh hưởng tới ý định tiếp tục mua thực phẩm tươi sống (TPTS) trên sàn TMĐT của genZ. Đề tài sử dụng cả phương pháp định tính và định lượng. Sau khi thu thập, làm sạch, và thu được 289 mẫu hợp lệ, tiến hành phân tích dữ liệu bằng phần mềm SPSS 26. Kết quả chỉ ra rằng biến thói quen, chất lượng sản phẩm, giá sản phẩm tác động đến ý định tiếp tục mua TPTS trên sàn TMĐT. Kết quả này giúp các nhà quản trị có những giải pháp để thu hút khách hàng tiếp tục mua thực phẩm trên sàn TMĐT trong thời điểm bình thường mới.
Isolation and Characterization of Bacillus Spp. for Plant Growth Promoting Properties
Authors: Abdullahi Salamatu , Muhammed Yahuza Gimba , Muhammad Abdurrazak , Ahmed Jamila Mashi , Shehu Dayyabu
Published: December 2022

A group of free-living bacteria known as plant growth-promoting rhizobacteria (PGPR) inhabit the rhizosphere and aid root development. These rhizobacteria bacteria are vital to the growth of plants and can serve as bio-fertilizer and can enhance food security through green agricultural practices. They exhibit special features which make them potential candidates as bio-fertilizer. Isolation and characterization of rhizobacteria is the first step toward their utilization as bio-fertilizers. Ten rhizobacteria from two different rice farms were isolated and characterized for plant growth promoting properties. The isolated rhizobacteria were identified morphologically, microscopically, biochemically, and molecularly. Plant’s growth promoting properties of these rhizobacteria was also analyzed which includes; Indole 3-acetic acid production (IAA), phosphate solubilisation, hydrogen cyanide production (HCN), ammonia production (NH3), and zinc solubilisation. Out of the ten isolates, three were found to have the best plant growth enhancing properties and were therefore the best candidates as bio-fertilizers. 16SrRNA study and phylogenetic analysis was performed in order to unravel the specie of these three isolates and they were identified as Bacillus subtilis, Bacillus niacini, and Bacillus cereus with accession numbers OM184294, OM1842295 and OM184296 respectively. These isolates have the potential to be used as bio-fertilizer, which would significantly contribute to food security.
Crop farmers’ coping strategies for mitigating conflicts with cattle herders: Evidence from Osun State, Nigeria
Authors: Adisa Banji Olalere , Famakinwa Michael , Adeloye Kolawole Adelekan , Adigun Abolade Oluwapelumi
Published: December 2022

Farmer-herder conflict constitutes a severe threat to community peace, development, agricultural production and socio-economic life of rural dwellers especially crop farmers, thereby forcing them to utilise some coping strategies to survive the crises and cushion the effects. Therefore, the paper assessed the causes, effects, and coping strategies utilised by crop farmers to mitigate the effects of conflict with cattle herders in rural communities of Osun State, Nigeria. A total of 120 crop farmers (the more vulnerable ones) were selected across the state and quantitative data were elicited from them using a structured interview schedule. Descriptive and inferential statistics were used to analyse the data. Results show that respondents had a mean age of 44.16 ± 14.77 years and farming experience of 20.16 ± 11.23 years, and 75.7 % had formal education. Loss of crops (mean = 1.63) and reduction in farmers’ output and income (mean = 1.52) were the major effects of conflict, while strategies adopted include tightening farm security (mean = 2.93), praying for peace (mean = 2.91) and seeking help from friends and relatives (mean = 2.91). About half (48.6 %) utilised the coping strategies at a high level to mitigate conflict with cattle herders. There was a significant relationship between the coping strategies utilisation and the years of residence (r = 0.224), farming experience (r = 0.201) and effects of conflict (r = 0.567). The study concluded that although crop farmers utilised different coping strategies to mitigate the effects of herders’ conflict problem-solving types were most adopted. It is therefore recommended that government and other donor agencies should provide relief materials to crop farmers during conflict situations to enable them to cope with the effects of the conflict and resume their normal economic activities.
Proteomic profiling of exosomes derived from pancreatic beta-cells cultured under hyperglycemia
Authors: Rząca Carina , Jankowska Urszula , Stępień Ewa Łucja
Published: December 2022

Introduction

Cargo carried by extracellular vesicles (EVs) is considered a promising diagnostic marker, especially proteins. EVs can be divided according to their size and way of biogenesis into exosomes (diameter < 200 nm) and ectosomes (diameter > 200 nm). Exosomes are considered to be of endocytic origin, and ectosomes are produced by budding and shedding from the plasma membrane [1].

Methods

The first step of this study was a characterization of the exosome sample. Using Tunable Resistive Pulse Sensing (qNano) size distribution and concentration were measured. The mean size of exosomes was 120±9.17 nm. In the present study, a nano liquid chromatography coupled with tandem mass spectrometry (nanoLCMS/MS) was used to compare protein profiles of exosomes secreted by pancreatic beta cells (1.1B4) grown under normal glucose (NG, 5 mM D-glucose) and high glucose (HG, 25 mM D-glucose) conditions. The EV samples were lysed, and proteins were denatured, digested, and analyzed using a Q-Exactive mass spectrometer coupled with the UltiMate 3000 RSLC nano system. The nanoLC-MS/MS data were searched against the SwissProt Homo sapiens database using MaxQuant software and protein quantitation was done by the MaxLFQ algorithm. Statistical analysis was carried out with Perseus software. Further bioinformatic analysis was performed using the FunRich 3.1.4 software with the UniProt protein database and String [2].

Results

As a result of the nanoLC-MS/MS analysis more than 1,000 proteins were identified and quantified in each sample. The average number of identified proteins in exosomes was 1,397. Label-free quantitative analysis showed that exosome composition differed significantly between those isolated under NG and HG conditions. Many pathways were down-regulated in HG, particularly the ubiquitin-proteasome pathway. In addition, a significant up-regulation of the Ras-proteins pathway was observed in HG.

Conclusion

Our description of exosomes protein content and its related functions provides the first insight into the EV interactome and its role in glucose intolerance development and diabetic complications. The results also indicate the applicability of EV proteins for further investigation regarding their potential as circulating in vivo biomarkers.
Comparison of qNANO results from the isolation of extracellular microvesicles with the theoretical model
Authors: Durak-Kozica Martyna , Wróbel Andrzej , Platt Mark , Stępień Ewa Ł.
Published: December 2022

Objectives: Extracellular vesicles (EVs) are heterogeneous membrane vesicles in diameter of 30-5000 nm, that transport proteins, non-coding RNAs (miRNAs), lipids and metabolites. Major populations include exosomes, ectosomes and apoptotic bodies. The purpose of this study was to compare the distribution of EVs obtained under different conditions of differential centrifugation, including ultracentrifugation, with the results developed based on a theoretical model. Methods: Immortalized endothelial cell line that expresses h-TERT (human telomerase) was used to release of EVs: microvascular TIME. EVs were isolated from the culture medium at different centrifugation parameters. The size distribution of the EVs was measured using TRPS technology on a qNano instrument.
Continuous limits of residual neural networks in case of large input data
Authors: Herty Michael , Thünen Anna , Trimborn Torsten , Visconti Giuseppe
Published: December 2022

Residual deep neural networks (ResNets) are mathematically described as interacting particle systems. In the case of infinitely many layers the ResNet leads to a system of coupled system of ordinary differential equations known as neural differential equations. For large scale input data we derive a mean–field limit and show well–posedness of the resulting description. Further, we analyze the existence of solutions to the training process by using both a controllability and an optimal control point of view. Numerical investigations based on the solution of a formal optimality system illustrate the theoretical findings.
De-noising of partial discharge ultrasonic signal of insulation bar in large motor based on GMC-wavelet
Authors: Chen Xuejun , Ma Lin , Zhang Lei , Zhuang Jianhuang
Published: December 2022

In view of the bad operation environment of large motor, which often suffers from various strong noise interference, the partial discharge ultrasonic signal is often annihilated, which makes it difficult to detect and analyse. A de-noising method based on generalized minimax concavity (GMC) and wavelet for partial discharge (PD) ultrasonic signal is proposed. GMC is used to enhance the sparsity of PD ultrasonic signal and eliminate the high-frequency noise signal at the same time. Then the residual high-frequency sparse noise and low-frequency noise of the former are de-noised again combined with wavelet. Finally, the signal is reconstructed to achieve the purpose of de-noising the original PD ultrasonic signal with noise. Compared with ℓ1 -norm method, GMC method, wavelet method and ℓ1 -norm-wavelet method, the simulation results show that based on time domain analysis, the de-noising effect of the proposed method is obviously better than the other four methods. The SNR and MSE of the former are better than those of the latter. In addition, the insulation bar discharge model of large motor is constructed to obtain the actual PD ultrasonic signal, which further verifies its effectiveness, and its de-noising effect is also better than the four methods. This method can not only enhance the sparsity of the target signal and improve the estimation accuracy, but also achieve the de-noising effect, while retaining the effective information of PD ultrasonic signal characteristics. This method can provide new ideas for other types of PD signal de-noising, and lay the foundation for later feature analysis.
Instruction mapping techniques for processors with very long instruction word architectures
Authors: Mego Roman , Fryza Tomas
Published: December 2022

This paper presents an instruction mapping technique for generating a low-level assembly code for digital signal processing algorithms. This technique helps developers to implement retargetable kernel functions with the performance benefits of the low-level assembly languages. The approach is aimed at exceptionally long instruction word (VLIW) architectures, which benefits the most from the proposed method. Mapped algorithms are described by the signal-flow graphs, which are used to find possible parallel operations. The algorithm is converted into low-level code and mapped to the target architecture. This process also introduces the optimization of instruction mapping priority, which leads to the more effective code. The technique was verified on selected kernels, compared to the common programming methods, and proved that it is suitable for VLIW architectures and for portability to other systems.
Characteristic-mode analysis of coupled split-ring resonators
Authors: Eteng Akaa Agbaeze
Published: December 2022

The coupling between closely spaced split-ring resonators, when employed as sub-components of electromagnetic structures, is an important feature often leveraged upon to provide bulk material properties. In its contribution, this paper employs characteristic-mode analysis (CMA) to examine modal interactions intrinsic to the coupling between a pair of split-ring resonators. The analysis reveals the influence of feed impedance and rotational orientation of a pair of coupled SRRs on the excited resonant modes, which, in turn, determine the power transfer levels between both SRRs and the frequencies at which these occur. The insights provided suggest the aptness of rotational orientation and feed impedance as critical design parameters for the realization of SRR-based magneto-inductive waveguides and wireless power transfer setups.
Progressive pattern orthogonal interleaver set for interleave division multiple access based, non orthogonal multiple access schemes: Beyond 5G perspective
Authors: Dixit Shivani , Shukla Varun , Shukla Manoj Kumar
Published: December 2022

This communication suggests an orthogonal interleaver set for interleave division multiple access (IDMA) based non orthogonal multiple access (NOMA) schemes from beyond 5G viewpoint to support enormous increase in user count. The method generates an orthogonal interleaver set by providing two mother interleavers as seed to generate other users’ interleaving patterns progressively. The key feature of the proposed scheme is that it reduces implementation complexity and memory requirement at the base station, while implementing iterative multiuser detection (MUD), which most of the interlaever designs suggested in literature do not consider. It provides additional security to the user data due to progressively changing mother interleavers’ pattern along with the conventional purpose of providing unique identity for individual users in the system. The proposed orthogonal interleaver set is tested through simulations under multiple IDMA system configurations. It has been observed that it preserves the bit error rate (BER) performance of the IDMA scheme along with the optimal implementation complexity and minimal information exchange requirement between base station and mobile station to share the interleaver design.
A fundamental approach: E-polarized electromagnetic wave diffraction by two dimensional arbitrary-shaped objects with impedance boundary condition
Authors: Tabatadze Vasil , Karaçuha Kamil , Zaridze Revaz , Veliyev Eldar , Karaçuha Ertuĝrul
Published: December 2022

In the present study, a new methodology in computational electromagnetics is developed for two-dimensional arbitrarily-shaped objects with impedance boundary conditions. The proposed approach investigates the E-polarized electromagnetic diffraction by a two-dimensional object with the Leontovich boundary condition. The scattered electric and magnetic fields are expressed as the convolution integral of the corresponding Green’s function and the current induced on the obstacle surface. After obtaining integral equations by applying the boundary condition, the integral equations are solved as in the case of the method of auxiliary sources (MAS) which is a well-known method in computational electrodynamics. The results are compared with first, different methods such as the method of moments (MoM), orthogonal polynomials (OP), and second, different boundary conditions such as Dirichlet, Neumann, and fractional boundary conditions. Some results are also obtained for the different shape scatterers at some values of the surface impedance.
Investigation and Prediction of ECMM characteristics of Hardened Die Steel with Nanoparticle Added Electrolytes Using Hybrid Deep Neural Network
Authors: Kanniyappan Vijayakumar , Tamilperuvalathan Sekar
Published: December 2022

In our work, the process efficiency of the ECMM should be improved by using different combinations of nano-particles and added electrolytes. The superior aim of this work is to improve and predict the ECMM machining characteristics of die hardened steel, namely material removal rate (MRR), Tool wear rate (TWR) and Surface Roughness (Ra). The machining conditions are optimized using Response Surface Methodology (RSM) based on Box Behnken Design. The better Nano electrolyte is optimized using Deer Hunting Optimization (DHO) based on the machined outcomes, and the performances are predicted using a hybrid Deep Neural Network (DNN) based DHO. The hybrid DNN-DHO based predicted outcome of MRR is 0.361 mg/min, TWR is 0.272 mg/min and Ra is 2.511 μm. The validation results show that our proposed DNN-DHO model performed well and obtained above 0.99 regression for both training and validation of DNN-DHO, where the root mean square error ranges between 0.018 and 0.024.
Experimental research on the volatilization and condensation of ammonium bisulfate as SCR byproduct
Authors: Jiao Kunling , Ma Shuangchen , Chen Xiangyang , Liu Jiaming , Qiao Lin
Published: December 2022

In this paper, the research progress of ammonium bisulfate (ABS) volatilization in coal-fired power plants the SCR denitrification process was reviewed. Combination with self-made experiments, SEM, flue gas analyzer and TG-DTG curves of ABS and ion chromatography. The volatilization and condensation characteristics of ABS were investigated carefully. Results show that as the temperature increased by 50 oC, the ABS/AS volatilization rate increased by an order of magnitude. The decomposition process of ABS should have a two-step reaction. The reaction in the initial volatiliza-tion stage is ABS dehydration turned into (NH4)2S2O7. The reaction in the rapid volat-ilization stage is (NH4)2S2O7 decomposed into NH3, N2, SO2 and H2O. There is an inter-section in the reaction temperature range (especially 300 oC) between the two-step re-action. This research provides an experimental basis for temperature control of ABS to avoid air pre-heater fouling.
Characteristics of Austrian passenger transport policy development since the 1950s
Authors: Stellner František , Vokoun Marek , Nigrin Tomáš , Kasa Marek
Published: December 2022

This paper investigates the transport policy development and characteristics of the Austrian passenger transport sector from the 1950s onwards. The analysed performance indicators deal with the three most prevalent modes of transport (cars, trains and airplanes) and are linked to independent decision-making units (passengers) and their motives (price, quality and time to destination) as well as to goals and decisions involved in government policies. In this theoretical framework, we identified three developmental phases, using an interdisciplinary approach to assess the development of three variables of interest (number of car, air and train passengers). In the long term, transport policy aimed to solve the rigidity and lack of vision in train transport and the extensive use of cars. Air transport was a steadily growing segment in a close and positive relationship with trains, which is in line with the transport political orientation towards Vienna Airport and train connections to the capital city. The post-war phase (1945–1970) was characterised by enormous growth in the number of cars, an upswing in air transport and stagnant train transport. The second phase (1970–1994) was defined by a progressive liberalisation of rail transport and a plan to balance the growth rates of car, train and airplane performance variables. Finally, in the 1995–2019 phase, the growth in train transport increased; however, this growth remained far below the growth rates of air and car performance variables. Transport policy achievements and shortcomings for future research are suggested.
Vehicle detection and masking in UAV images using YOLO to improve photogrammetric products
Authors: Pargieła Karolina
Published: December 2022

Photogrammetric products obtained by processing data acquired with Unmanned Aerial Vehicles (UAVs) are used in many fields. Various structures are analysed, including roads. Many roads located in cities are characterised by heavy traffic. This makes it impossible to avoid the presence of cars in aerial photographs. However, they are not an integral part of the landscape, so their presence in the generated photogrammetric products is unnecessary. The occurrence of cars in the images may also lead to errors such as irregularities in digital elevation models (DEMs) in roadway areas and the blurring effect on orthophotomaps. The research aimed to improve the quality of photogrammetric products obtained with the Structure from Motion algorithm. To fulfil this objective, the Yolo v3 algorithm was used to automatically detect cars in the images. Neural network learning was performed using data from a different flight to ensure that the obtained detector could also be used in independent projects. The photogrammetric process was then carried out in two scenarios: with and without masks. The obtained results show that the automatic masking of cars in images is fast and allows for a significant increase in the quality of photogrammetric products such as DEMs and orthophotomaps.
Applications of Computational Thermodynamics in Materials Science Courses
Authors: Čička Roman
Published: December 2022

Computational thermodynamics is an important tool used to predict the phase equilibria, phase compositions, transformation temperatures, solubility limits and many thermodynamic properties of multi-component materials. In this contribution, the possibilities of how to introduce computational thermodynamics into the university Materials Science courses using Thermo-Calc software are described. Also, the application of computational thermodynamics in materials research and development of new materials is shortly outlined.
The Shift to Online Teaching of Technical Subjects during the Pandemic
Authors: Hudáková Mária
Published: December 2022

The aim of the article is to compare the results of the study before and during the pandemic. It is also a reflection on what we experienced and how we undertook pedagogical work with students in critical teaching conditions. The coronavirus pandemic brought about an unexpected and rapid change in all aspects of education. It seems like neither the teachers nor the students were ready. The article describes how the transition to online teaching took place overnight. It describes how technical subjects were taught and examined in a new online environment. This is about how the students evaluated that form of education in the subjects of ‘Heat Treatment and Metal Surface Treatment’ and ‘Material Science I’. The results of the study confirmed that even in the conditions of complete separation in the social and work contact, it is possible to study by conscientious preparation and self-access.
Comparison of Examination Methods in Bachelor’s and Master’s Degrees of Study during the Online form of Education
Authors: Moravčík Roman
Published: December 2022

The process of education is an integral part of the development of each student’s personality. For this reason, it is also necessary to verify the knowledge acquired during the studies. The article deals with the examination in two material-oriented courses. One is taught at the Bachelor’s degree and the other at the Master´s degree at the STU Faculty of Materials Science and Technology located in Trnava. The different approach to the examination results is evaluated, as both methods of testing produced comparable results.
Changes in the structure of household disposable income in selected countries as a reflection of crises after 2000
Authors: Hindls Richard , Marek Lubos , Hronová Stanislava
Published: December 2022

Wages and salaries represent the most important component of household disposable income. The aim of the article is to examine how the relationship between the shares of households’ wages and final consumption expenditure in their gross disposable income has developed over the past 20 years. The presented analysis uses publicly available national accounts data for 30 countries for the period of 2000–2019. The studied indicators include the proportion of households’ wages and salaries, and final consumption expenditure in their gross disposable income. Using the proposed method based on the evaluation of changes in the spatial map, it is possible to observe any significant changes in these proportion values in the years of financial crisis and recession, as well as in the years of prosperity. The procedure can therefore serve as an indicator of appreciable changes in economic development.
Robustness of randomisation tests as alternative analysis methods for repeated measures design
Authors: Oladugba Abimibola Victoria , Obasi Ajali John , Asogwa Oluchukwu Chukwuemeka
Published: December 2022

Randomisation tests (R-tests) are regularly proposed as an alternative method of hypothesis testing when assumptions of classical statistical methods are violated in data analysis. In this paper, the robustness in terms of the type-I-error and the power of the R-test were evaluated and compared with that of the F-test in the analysis of a single factor repeated measures design. The study took into account normal and non-normal data (skewed: exponential, lognormal, Chi-squared, and Weibull distributions), the presence and lack of outliers, and a situation in which the sphericity assumption was met or not under varied sample sizes and number of treatments. The Monte Carlo approach was used in the simulation study. The results showed that when the data were normal, the R-test was approximately as sensitive and robust as the F-test, while being more sensitive than the F-test when data had skewed distributions. The R-test was more sensitive and robust than the F-test in the presence of an outlier. When the sphericity assumption was met, both the R-test and the F-test were approximately equally sensitive, whereas the R-test was more sensitive and robust than the F-test when the sphericity assumption was not met.
Kajian Tingkat Kerentanan Sosial Terhadap Masyarakat Terdampak Bencana di Kecamatan Trienggadeng Pasca Gempa Bumi Pidie Jaya 2016
Authors: Maulidin* Rinaldy , Indra Indra , Abubakar Yusya
Published: December 2022

A disaster often causes survivors to be in a more vulnerable position than before. In the 2016 Pidie Jaya earthquake, five villages experienced a directed impact from the disaster. This study aims to determine the level of social vulnerability and to analyze the dynamics of changes in social vulnerability at the Trienggadeng District level, Pidie Jaya Regency in the period 2015-2021. This research uses descriptive quantitative method. The data used in this study include secondary data and primary data. Respondents in this study amounted to 98 people from communities in five villages in Trienggadeng District. The results of secondary data study show that the value of social vulnerability in the period 2015-2021 which consists of aspects of population density, sex ratio, vulnerable age, poor population, and vulnerability is in the range (54.38-267.71) where Tampui Village into the high class category with a value of (267.71). Meanwhile four other villages fall into the low class category, such as: Kuta Pangwa Village (54.38), Meucat Pangwa (71.09), Mee Pangwa (84.03) and Deah Teumanah (99.95). The aspects identified as triggers for social vulnerability in this study include: poverty rates in Mee Pangwa and Deah Teumanah Villages, solid waste management in all study villages, and population density in Tampui Village. Furthermore, an analysis of primary data shows that there has been an increase in quality and quantity in aspects of sanitation and access to health in the period 2016-2021.
Implementation of Practicum Worksheets Based on Guided Inquiry on the Topic of Colloids to Improve Students' Science Process Skills
Authors: Rahmawati* Triannisa , Suhanda Hokcu , Sabilla Friska Istighfari Aulia , Suryatna Asep
Published: December 2022

Currently, a lot of learning focuses on cognitive achievement, which results in less involvement of students in learning. Whereas in the renewable curriculum students are required to have ability incognitive, affective and psychomotor. One of these psychomotor aspects is science process skills by applying inquiry model. This study aims to determine the effect of the implementation of guided inquiry-based practicum worksheets on colloid topics on students' science process skills. The research method used mixed research method research with concurrent triangulation designs. The research was conducted in Cimahi, involving 33 students of class XII and 5 validators consisting of two lecturers and three teachers. The research instruments were used self-assessment, observation sheets for practicum activities using guided inquiry-based worksheets, assessment of student worksheet’s assignments, and restricted-response essays. The enhancement of science process skills was calculated by the N-gain formula using pretest and posttest score and characterize into high, medium and low. The results showed that the improvement of student science process skills on the topic of emulsifiers was in the medium category with an N-gain value of 0.6. The implementation of the practicum using guided inquiry-based worksheets on the result of self-assessment obtained 82.0%, the results of observation obtained 82.9%, and the assessment of student’s assignment in the worksheets obtained 81.6% in which all in the very good category
Threshold Panel Method for Analysis of the Effect of Banking Investment Allocation on Banking Performance, A Cross Country Studies: Some OECD Countries
Authors: Ekananda Mahjus
Published: December 2022

The direction of globalization and the integration of the financial system continues to increase in line with the trend of increasing capital flows which is the focus of discussion in this research. This study applies panel data analysis to analyze banking behavior to improve its performance. The analysis uses a linear model and a threshold model—panel data from 1991 to 2020 in 39 countries. Threshold panel regression is a non-linear model applied in this study to prove a change in the impact of independent variables that affect banking performance in specific regimes. In general, the linear model Coef.icients are as expected according to the theory. Analysis using threshold panel regression will give more profound results and higher intuition. Threshold panel regression has a smaller SSR value than the linear model. This study applies one threshold value to produce two different regimes. Changes in the impact occur at a certain threshold. Conclusively, this study finds threshold values ??for GDP growth, Concentration, Inflation, Leverage, Efficiency, and Credit Allocation. The GDP growth rate as a threshold is the most efficient model. The Coef.icients on the threshold panel regression model generally are in line with theoretical expectations. Still, some differences become the advantages of this non-linear model, revealing different economic conditions.
The Effects of Perceived Risks and Perceived Values on Online Purchase Intention: Evidence from Young Consumers in Indonesia
Authors: Margono Aurelia Sheryl , Perwitasari Nindy Sasabela , Nathaniel Matthew Alexander , Silalahi Navratilova Ivita , Istijanto Istijanto
Published: December 2022

COVID-19 pandemic has given a significant impact to both businesses and consumer behaviours. Not only businesses that have to adapt, consumers from all around the world have changed their behaviour in shopping and fulfilling their needs through online. This study aims to examine the effects of perceive risks and perceived values of young consumers on their intention to purchase online electronic products in Indonesia. The convenient sampling was employed with 314 respondents participating in the current research. Then, this study carried out a quantitative analysis by using statistical methods. Exploratory factor analysis was adopted to confirm the validity of the measuring items. Multiple regression analysis was employed to test the influence of perceived risks and perceived values on online purchase intention. The findings show that product risk and security risk have a significant negative effect on consumers' intention to purchase online products, while the escapism motive and value motive have a significant positive effect on the intention to purchase online products.
Aufsätze
Authors: Walser Robert
Published: December 2022

Die Sammlung Aufsätze, erschienen 1913 und hier neu ediert, ist das erste von insgesamt drei Büchern, die im damals neugegründeten Kurt Wolff Verlag in kurzem Abstand erschienen. Erstmals kommt Walsers poetisches Verfahren zur Anwendung, kurze Prosastücke, die oft bereits einzeln veröffentlicht worden waren, zu einer neuen Komposition zusammenzustellen. Die 49 hier versammelten Texte stammen grösstenteils aus den Berliner Jahren. Sie waren zuvor in den Zeitschriften Schaubühne, Neue Rundschau, Rheinlande und andernorts erschienen. Neben poetisch experimentellen Texten zu Theater, Kino und Grossstadt findet sich darunter auch Walsers erstes Dichterporträt Brentano wieder. In diesen Aufsätzen, so Max Brod, hat Walser «nicht nur neue Details, nein, eine ganz neue Literaturgattung geschaffen, – und mehrere solche neue Gattungen fallen aus diesem freifliegenden Buche auf die Erde herab.»
Der Band erscheint mit begleitender Elektronischer Edition und eingebundenem E-Book.
Geschichten
Authors: Walser Robert
Published: December 2022

In der Sammlung Geschichten, erschienen 1914 und hier neu ediert, hat Robert Walser Texte zusammengestellt, die in seine schriftstellerischen Anfänge zurückreichen, in die Münchner und frühen Berliner Jahre. Er hatte sie zuerst in den Zeitschriften Die Insel, Freistatt, Neue Rundschau, Schaubühne und andernorts veröffentlicht. Sein erstes Prosastück Greifensee findet sich hier wieder, die Erzählung Simon. Eine Liebesgeschichte, die als frühe Skizze zu Geschwister Tanner gelesen werden kann, das Porträt Kleist in Thun und weitere Texte. Gemeinsam haben sie das experimentelle Spiel mit Sujets und Erzählweisen. Robert Musil hat ihnen eine «ungemeine Wortbeherrschung» bescheinigt, «in die man sich vernarren könnte».
Fracture Analysis in the Outcrops of the Qara Chauq Anticlines, Zagros Fold and Thrust Belt of Kurdistan Region in Northern Iraq
Authors: Awdal Abdullah
Published: December 2022

The Zagros Fold and Thrust belt is one of the world's most prolific petroleum provinces. Most hydrocarbon reserves are stored in naturally fractured reservoirs and such fracture systems can therefore have a significant impact on reservoir performance. Fractures are one of the most important paths for fluid flow in carbonate reservoirs. Fracture data were collected in the outcrops of the Kirkuk Group of Oligocene age around Qara Chauq South and Qara Chauq North anticlines located near the Kirkuk Oil Field. The studied formations outcropping in the Qara Chauq are the main reservoir units in the Kirkuk and Bai Hassan fields. In Kirkuk and surrounding fields, hydrocarbon production comes mainly from primary porosity with assistance from secondary porosity created by dolomitization, karstification, dissolution, vugs and fractures. Fracture attributes collected from outcrops are fracture orientation, density and length. The results show that fractures in the studied reservoir formation are not uniformly distributed due to massive lithologic nature and lack of well bedding. Furthermore, fracture orientations show a clear relationship to the local fold axis in the outcrops. NW-SE fracture set is perpendicular to the NW-SE fold axis. However, some fractures do not show any relation to the local folding. These fractures may have formed in a pre-folding or post folding stage. Other fracture orientations exhibit a symmetrical relation to the maximum horizontal stress direction. The comparative analysis of outcrop data underlines the importance of representative analogue data for reservoir modelling and production strategies.
Flexural Behavior of High Strength RC Beams Incorporating Nano-Silica and Macro-Polypropylene Fiber
Authors: Mohammed Araz Ali , Saeed Najmadeen M.
Published: December 2022

This paper investigates the flexural behavior of high-strength RC beams experimentally to assess the effect of Nano-silica (NS) and Macro-Synthetic High Strength Polypropylene Fiber (MPF). Ordinary Portland cement was partially replaced by the NS and MPF with different proportions to produce four concrete mixtures. Tests were conducted on the full-scale high-strength RC beams, including first crack load, failure load, deflection, concrete strain, steel strain, and mode failure, which were examined and compared. In addition, the tests on the mechanical properties of high-strength concrete mixtures were also conducted at the ages of 28 and 56 days. The test results concluded that the addition of NS and MPF significantly improved the first-cracking and failure loads and decreased deflection at levels of cracking and failure loads. Additionally, an increase in NS content resulted in a minor increase in the ultimate strain related to the failure loads. Furthermore, the mix of 3% NS with 0.5% MPF was found to lead to the highest mechanical characteristics of concrete. The improvements were the concrete compressive strength by 33.6%, split tensile strength by up to 54.1%, and flexural strength by up to 28.3% compared with control specimens.
relationship between specific psychiatric disorders and type of crimes committed in a forensic psychiatry population
Authors: Jesus Mariana , Martins Vera , Faria Isabela , Quartilho Manuel João
Published: December 2022

Introduction: The association between criminality and psychiatric disorders has been extensively studied. The most recent studies show that this appears to exist only in acute stages of the disorder. Adverse childhood events are also a risk factor in violent and antisocial behaviors. Methods/Objectives: A retrospective exploratory study was designed, including 91 men and 19 women admitted in the Forensic Ward of Coimbra Hospital and University Center between January 2018 and august 2021 to evaluate the association between psychiatric diagnosis and crime committed. Gender differences and adverse childhood events were also evaluated. Results: Although psychotic disorders were the most common in both groups, mood disorders were significantly more common in women. 39 patients had comorbidity with substance abuse which was associated with a greater prevalence of criminal history and childhood adverse events, but also with a lesser prevalence of violent crimes and homicide. The victims of the crimes committed were mainly from the patient’s nuclear family, with a low prevalence of crimes committed against strangers. The sample patients also reported more adverse childhood events than the general population. Discussion: There were no significant differences in the type of crime considering the psychiatric diagnosis, but comorbidity with substance abuse was associated with greater criminality, but with less violent crimes. There was a greater prevalence of crimes committed against the nuclear family, and particularly against offspring in women.
Using Immersion Teaching Process to Develop EFL Learners’ Speaking skill
Authors: Astifo Arev Merza , Wali Hussein Ali
Published: December 2022

Speaking skill is one of the most significant skills because it is one of the means of conversation and communication with others. Thus, this paper aims at investigating the development of the students’ speaking skills by using the immersion teaching process, in addition to observing the authentic level of the students’ implementation in their speaking performance. To achieve these objectives, a questionnaire is designed to be administered to the research sample. The research sample consists of students selected from the second stage in the Dept. of English, College of Education, Salahaddin University. The research findings revealed that improving students' speaking skills requires at least an initial level of language speaking competence. Based on the results discussion, a number of suggestions and recommendations are presented to investigate the impact of project-based learning (PBL) on speaking skills.
Preparation and Characterization of Superparamagnetic Iron Oxide Nanoparticles (Fe3O4) for Biological Applications
Authors: Ahmed Hisham Fathallah  , Hussain S. Akbar  , Fatin M. Nawwab Al-Deen
Published: December 2022

Superparamagnetic iron oxide nanoparticles (SPIONs) are developed considering the importance of this class of in different fields of biochemical and biomedical applications owing to their distinctive chemical and physical properties. In this work, the preparation of iron oxide nanoparticles (SPIONs (using Co-precipitation method has been done as the most commonly used wet chemical method of magnetic nanoparticles preparation for biological applications. The SPIONs synthesis was based on sodium hydroxide (NaOH) mediated precipitation of Fe3+ and Fe2+ salts in an aqueous solution using trisodium citrate as surfactant within a closed system. The size and stability of the magnetite nanoparticles were carefully controlled using different chemical and physical parameters in order to obtain the SPIONs with small particle size and distribution that is needed for biomedical applications. The synthesized Fe3O4 nanoparticles were characterized by X-ray diffraction (XRD), scanning electron microscope (SEM), transmission electron microscope (TEM), vibrating sample magnetometer (VSM), and Zeta potential analysis (Zp). XRD pattern showed the presence of peaks corresponding to the phase of magnetite Fe3O4. Moreover, SEM and TEM results revealed spherical particles with a mean diameter of ≥ 5 nm. The monodispersed SPIONs were successfully prepared with a mean hydrodynamic size of 209.32 nm at a stirring speed of 900 rpm and NaOH concentration of 1.2 gm. The results showed that the particle size is considerably dependent on the stirring rate and NaOH concentration. Fe3O4 nanoparticles exhibited superparamagnetic behavior and the saturation magnetization was around 50 emu/g.
COMPARISON BTWEEN THE RELATIONS OF HpGe DETECTOR EFFICIENCY CURVE AND BACKGROUND “SPECTRUM SHAPE”
Authors: Mahmoud A. Elawi  , Noori H. Noori  , Auday T.S. Al-Bayati
Published: December 2022

The full energy peak efficiency (ɛ) relation of HpGe detector is determined and compared with the "spectrum shape" relation of natural background (BG) for the (121.8-1408) keV energy range. A one liter Marinelli beaker soil standard containing the Eu-152 material is used in calibration and measurement. A MATLAB fitting program were used obtain the efficiency relation from the experimental values, and to obtain the BG "spectrum shape" relation from the count rates at the corresponding energy values used. The ɛ / BG factor values were 1.154 at the 121.8keV and increase with energy till reaching a maximum value of 4.358 at about 778keV energy and then decrease. These values may be used to extract efficiency from the BG values at the specified measurement conditions. The obtained results may participate in extending our understanding of the standardization concept in radiation measurements.
The Adjacency Matrix of The Compatible Action Graph for Finite Cyclic Groups of p-Power Order
Authors: Mohammed Khalid Shahoodh
Published: December 2022

Let G and H be two finites -groups, then  is the non-abelian tensor product of G and H. In this paper, the compatible action graph  for    has been considered when  and  for the two finite -groups by determining the adjacency matrix for  and studied some of its properties.