bluuebunny/crossref_metadata_2025 huggingface dataset:
Collaborative Innovation Ability Cultivation of College Students by Improving Achievement Transformation Efficiency
Authors: An Bo
Published: June 2023

With the increasingly urgent demand for innovative talents, college students should have strong collaborative innovation ability because they are the backbone of future sci-tech innovation in China. Existing methods can be used to measure and evaluate to some extent the collaborative innovation and achievement transformation efficiency of college students. However, many of the methods focus on data of a certain period and neglect dynamic analysis. Dynamic comparisons of different periods need to be made because innovation activities and achievement transformation may be influenced by time factors in practical situations. In addition, some methods only focus on the quantity index of achievement transformation, and neglect quality evaluation. Therefore, this paper aimed to study the collaborative innovation ability cultivation of college students by improving the achievement transformation efficiency. Three-stage data envelopment analysis (DEA)-Windows model was used to calculate the collaborative innovation and achievement transformation efficiency of college students. This paper elaborated in detail the calculation process of these three stages, namely, the first-stage DEA-Windows analysis, the second-stage panel stochastic frontier analysis (SFA), and the third-stage adjusted DEA-Windows analysis. Based on the research needs of collaborative innovation ability cultivation of college students by improving the achievement transformation efficiency, this paper constructed an evaluation index system using Fare-Primont index model and Pastor method, and focused on the sci-tech innovation achievement transformation factors, such as output results and ability improvement. Finally, this paper showed the analysis results by combining with examples, which verified the proposed method was effective.
Inclusive Education Practices During the COVID-19 Pandemic From the Eyes of Turkish EFL Student Teachers
Authors: Köroğlu Zeynep Çetin , Öz Gülşah , Yüce Erkan
Published: June 2023

The present research investigates Turkish EFL student teachers' perspectives on inclusive education during the COVID-19 pandemic. The research is designed as a qualitative study. The data were gathered through a written-structured interview, which consisted of five questions. Additionally, student teachers' classroom observation and response papers were utilized to understand their perceptions of inclusive education. A constant comparative analysis was used to analyze the present research data. Eleven fourth graders of the English language teaching department participated in the study. The results showed that EFL student teachers know the needs and interests of students who need special education SEN (SEN; education of individuals with special education needs). However, the results indicate that student teachers think inclusive education practices were not implemented effectively during the COVID-19 pandemic. The results reveal that the study participants have adequate knowledge and positive perspectives toward inclusive education.
Deep Learning Techniques Applied for Automatic Sentence Generation
Authors: Boopathi Sampath
Published: June 2023

Automatic sentence generation is an important problem in natural language processing that has many applications, including language translation, summarization, and chatbots. Deep learning techniques, such as recurrent neural networks (RNNs) and transformer models, have been shown to be effective in generating coherent and diverse sentences. Recurrent neural networks (RNNs) have been widely used in natural language processing tasks, including automatic text generation. However, the traditional RNN suffers from the vanishing gradient problem, which hinders the learning of long-term dependencies. To address this issue, long short-term memory (LSTM) and gated recurrent unit (GRU) models have been introduced that can selectively forget or update certain information in the hidden state. These models have been shown to improve the quality of automatically generated text by better capturing the long-term dependencies in the input data.
Design Thinking to Promote Mental Health Literacy for Higher Education Students
Authors: Galvão Ana , Anes Eugénia , Chumbo Isabel
Published: June 2023

This chapter resulted from the monitoring throughout a semester (from September 2021 to February 2022) of a group of students and professors/facilitators, from different areas of knowledge, who participated in the Demola International Project. The aim of this chapter is to demonstrate how it can become feasible to apply the design thinking (DT) process to health contexts, with the challenge: promoting mental health literacy in higher education students on the route of promoting positive mental health. The solution to promoting mental health and preventing mental illness is to increase health literacy. In this sense, the concerns of this chapter are to find solutions to improve the low mental health literacy of higher education students and to promote their mental health, acting early in the diagnosis of mental illness. This solution was identified using the design thinking process, IDEO's 3I's model, making it possible to apply low-cost strategies and encourage students' autonomy and empowerment, thus creating less dependence on external intervention.
Methodological Approaches in Innovative Pedagogical HEIs
Authors: Sequeira Olinda Maria , Teixeira Fernando , Samartinho João
Published: June 2023

Link Me Up is a project that involves 13 higher education institutions (HEIs) and one of the result indicators of the Link Me Up project is to generate 600 ideas through co-creation cases developed in teams made up of students, teachers, and companies. These 600 ideas come from 6 batches that will be completed in June 2023. At this moment, four batches have already taken place but there are still only data from the first batch for all institutions. The objective of this work, with the available data referring to the first batch, was to try to understand if there are differences in efficiency between institutions. This analysis was performed using the data envelopment analysis (DEA) model, in which a constant return to scale (CRS) technology is assumed. The results reveal that there are different levels of inefficiency, with few HEIs being considered 100% efficient.
Virtual First
Authors: Samartinho João , de Carvalho Leonardo Silva , Pereira Patrícia , Lima Vitor
Published: June 2023

The Virtual First project was born from the realization that something had to be done to facilitate the adaptation of organizations and people to this new reality. One of the premises was that the adaptation process should be supported by a computer platform that would allow the development, in the virtual space, of activities normally performed in a physical environment. This prototype was later used and improved, for the development of an innovative platform, preferably oriented towards teaching and professional training and that allows the automation of a large part of the teaching process. The platform adapts to any teaching methodology, from the most traditional to the most modern trends, even supporting a new methodology that we call Inbound Learning, only possible with this type of solution. In the implementation phase, the authors used the Agile methodology, in a model called Crivosoft Agile Framework. This model for developing IT solutions only differs from other existing models by involving the business analyst in manually loading tables with real data.
Higher Education, Active Learning, Co-Creation, Innovation, and Contribution to Regional Development
Authors: Barbedo Inês , de-Souza Juliana Almeida , Cabo Paula , Rodrigues Pedro M. , Costa Cláudia S. , Pereira Fernando Augusto
Published: June 2023

This chapter explores how higher education institutions (HEIs) that use active learning methodologies and promote co-creative and innovative environments can contribute significantly to regional development. The authors carried out a bibliometric analysis, considering the works published in journals indexed in the Scopus database for this purpose. The study aims to measure the scientific production of active teaching and learning methodologies, such as co-creation and innovation, and their contribution to regional development. The main results denounce that there is still a long way to go in exploring and emphasizing the links between HEIs, active learning, co-creation, innovation, and regional development. This path needs the involvement of the surrounding society, and private and public organizations, to be meaningful. HEIs urgently need to promote a shift in thinking about their educational practices. In today's world, complex challenges pose a real challenge to the future of higher education, and graduates who can meet these challenges represent added value to the higher education system.
Disparities and Informal Economy
Authors: Pal Shrabanti
Published: June 2023

Informal markets are present in the whole world, especially in developing countries like India. The devastating attack of COVID-19 resulting in an abrupt lockdown has had an immense impact on the informal sector in an unprecedented way. The present chapter is an endeavor to highlight and explore the current scenario of the informal sector. It also looks at the major challenges and impact of disparities in that particular sector in the backdrop of COVID-19. An exploratory methodology is applied in the present study comprising national and international reports, research papers, and available literature in the related area. The study finds that during the pandemic time rapid rising of socio-economic problems in the informal sector due to job loss, unemployment, social uncertainty, and gender inequality. The study recommends the induction of a new policy consisting of proper rules, regulations, protection measures, and a professional code of conduct to offset the impact of the pandemic. A future study is required on the Indian informal sector to evaluate the effect of the pandemic.
The Role of Social Enterprises in Urban Poverty Alleviation
Authors: Shapiei Rizmi Ahmad , Rahim Noorlizawati Abd , Ali Nor Raihana Mohd
Published: June 2023

More than 200,000 households were living below the poverty line in Malaysia in 2019. Urban areas are crowded and have more absolute poor households than rural areas. Social enterprise has potential as a new approach to urban poverty alleviation. Yet, this method has not been widely investigated in Malaysia. This study sought to identify the challenges encountered by social enterprises. By employing qualitative modes of inquiry, findings from interviews with two Malaysian social enterprises reveal challenges in financial, organizational, business nature and complexity of the urban poor. Government incentives, societal, and organizational support were identified as measures that empower social enterprises to alleviate urban poverty. This research reinforces that urban-centric social enterprises, involvement of the poor in the business value chain, promotion by the government, and societal engagement can drive efforts towards the ‘no poverty' sustainable development goal. It offers some important insights on the potential roles of social enterprises in urban poverty alleviation.
Entrepreneurship for Inclusion
Authors: Ciccarino Irene Dobarrio Machado
Published: June 2023

Medical advances have made it possible to diagnose many people with some degree of autism spectrum disorder (ASD). These people have potentials and needs that have been neglected, despite the popularity of inclusiveness rhetoric. A neurodiverse inclusion in society and in the workforce remains overlooked. Thus, the rhetoric dissonates providing inefficient solutions. This study describes a way to empower minorities to overcome agency issues. Vencer Autismo is a Portuguese initiative that provides a positive and non-neurotypical perspective that lacks in business theory to discuss and understand ASD in a strengths-based approach. This study is an interpretive in-depth case because it seeks to understand an underdeveloped topic in business research. The case selected has already proved to be an innovative social entrepreneurial initiative with a positive social impact. Alternatives to develop the weaknesses found about ASD in business literature and inclusiveness rhetoric are drawn from the theory of entrepreneurship and innovation, emphasizing the inclusive and social perspective.
Land Repossession
Authors: Darkwa Isaac Obeng , Danso-Wiredu Esther Yeboah
Published: June 2023

The increasing population and urbanization in peri-urban Ghana have affected migrant farmers' land resource and livelihoods. The high demand of land for residential and developmental purposes has resulted in re-possession of farmlands in peri urban areas by land owners, at the expense of migrant farmers. This study analyses the extent of vulnerability challenges that affect migrant farmers as a result of land repossession, and alternative strategies employed to curb the challenge. A mixed method approach research was conducted in three communities: Oda, Asene, and Aboabo. The study adapted the sustainable livelihood approach in analyzing vulnerability challenges, and livelihood strategies. The study findings revealed that migrant farmers become economically and socially vulnerable temporarily because of land re-possession, but consequently, devise alternative livelihood strategies to ameliorate the problems. The study recommends that migrant farmers should have their farmlands registered to cover all contractual agreements with landowners to secure land for farming activities.
From Manual Automation to Hyperconnection
Authors: Faugier-Contreras Luis-Eduardo , Guevara-Flores Karla Fernanda , Hernández-Calderón José-Guillermo
Published: June 2023

The implementation of the IoT in the industry promotes the automation of production processes in addition to the reduction of operating costs. However, its implementation is not a trivial task because it is necessary to evaluate the integration potential, analyze the different processes where its implementation is viable, seeking the most significant impact, in addition to minimizing existing technological barriers such as providing computer equipment to the industry in addition to the interconnection of devices and machines without neglecting data security in this highly connected environment. The data collected by the different devices must be able to be visualized through indicators of interest, considering these environments as intelligent environments. This chapter seeks to generate a more assimilated theoretical notion about the development and implementation of the internet of things in the industry to help the adaptation of this type of technology in their production processes and services in public or private organizations.
Survey and Research Issues on Fog Computing
Authors: Sissodia Rajeshwari , Rauthan Manmohan Singh , Barthwal Varun
Published: June 2023

The proliferation of internet-connected devices has led to the accumulation of vast volumes of data, known as “big data.” While cloud computing has been effective in managing and processing this data, it falls short in meeting the demands of real-time, low-latency applications and network constraints. To address these limitations, a new computing paradigm called “fog computing” has emerged. Fog computing aims to enhance speed, adaptability, throughput, cryptography, and confidentiality by bringing computation, connection, and memory closer to edge devices and end-users. This chapter provides an overview of the network infrastructure, key technologies, applications, challenges, and unresolved issues associated with fog computing.
Teachers' Humanistic Role in Teaching Mathematics Online During the COVID-19 Pandemic in Nepal
Authors: Khadka Jiban , Joshi Dirgha Raj , Adhikari Krishna Prasad , Khanal Bishnu
Published: June 2023

This study aimed to examine the teachers' humanistic role in terms of integrity, dignity, and freedom in online classes, and its effect on mathematics learning achievement. The cross-sectional survey design was carried out by taking 2260 students from school to tertiary levels in Nepal during the COVID-19 pandemic. T-test, ANOVA, and hierarchical regressions were the major statistical techniques used to yield the results in the research. The results showed that access to the internet, grades/levels, and availability of digital devices are significant in the practice of the humanistic role of teachers and students' learning achievement. Additionally, many factors such as teachers' equality and fair treatment, expression of negative emotions, and displaying energy and enthusiasm in teaching-learning activities, interest in students' well-being, extended moral support, positive attitude, and understanding of pressures and limitations of students are significant predictors in the achievement of mathematics.
Visualizing and Bibliometrically Analyzing Information and Communication Technology-Based Blended Learning
Authors: Yu Zhonggen , Peng Danhua
Published: June 2023

With the rapid development of information and communication technologies, blended learning has gained popularity after the COVID-19 pandemic. This study aims to visualize and bibliometrically analyze information and communication technology-based blended learning. Through bibliometric analyses and visualization via both VOSviewer and CitNetExplorer, this study identified the top ten cited authors, organizations, countries, sources, and keywords in the field of information and communication technologies used for blended learning, providing meaningful references for future research. Most studies reported that information and communication technology-based blended learning could improve learning effectiveness and environments despite numerous challenges revealed by several previous studies. In addition, this study suggested the main research methods to explore ICT-assisted blended learning given the present meta-analytical methods in the longest path where a citation network was established. Future research directions were suggested.
An In-Depth Analysis of Smart Healthcare Monitoring Systems for Humans Based on IoT
Authors: Jeet Rubal , Kang Sandeep Singh
Published: June 2023

Smart healthcare monitoring systems make use of IoT, the most recent technology. As a result, IoT incorporates one of its most critical applications, the health monitoring and control system. Within those systems, individuals commonly use pulse rate sensing devices, ECG sensor systems, and blood pressure sensor with various embedded systems to collect observations from the identification modules and send them to a database machine so that records can be transferred with the patient and the physician in an Android app. This investigation makes it easier to imagine how IoT could be used in difficult medical procedures. The remote health monitoring management system (HMS) is a key IoT app that allows users to connect to smart sensors, people, healthcare professionals, networks, and other connected devices. Clinicians can now constantly monitor their own patients from afar thanks to the tried method, the internet of things.
Sentiment Classification of Social Network Text Based on AT-BiLSTM Model in a Big Data Environment
Authors: Liu Jinjun
Published: June 2023

To tackle the challenge of ineffective sentiment prediction using current sentiment classification methods, this paper introduces a method social network text sentiment classification. The method leverages a bidirectional short and long-term memory model (AT-BiLSTM), specifically designed for a big data environment. First, a vectorized representation of text is realized by introducing a pre-trained BERT model, and the classification results are dynamically adjusted according to the semantic information of the words. Then, the BiLSTM combined with the attention mechanism performs aspect-level sentiment analysis, and the corresponding model AT-BiLSTM is formulated. Finally, the BERT model randomly selects input tags for information masking and pre-trains the proposed model. The proposed method was evaluated against three alternative methods using an identical dataset. The results show that the novel method achieved the highest accuracy, recall, and F1-score, reaching 93.72%, 93.91%, and 92.38%, respectively. Consequently, the proposed method demonstrates superior performance compared to the other three methods evaluated.
Value Creation and Sustainable Project Management
Authors: Ma Huimin , Cao Wenyang , Cheng Xin , Wang Chong , Wang Ke
Published: June 2023

The literature emphasizes the crucial role of state-owned enterprises (SOEs) in fostering economic growth and addressing public demands. However, ensuring the sustainable development of SOEs requires further research to investigate sustainable project management with a focus on value creation. Accordingly, the authors conducted a case study of a prominent real estate SOE in China to examine how SOEs can alter their project management practices and achieve a more sustainable business model. The findings reveal that adopting a whole life-cycle management system can promote value refinement, optimization, and co-creation, enabling SOEs to achieve value creation through sustainable management. This study offers useful insights for policymakers and business executives in China and contributes to the literature on sustainable project management and value creation.
The Impact of Mesoporous Silica Nanoparticles on Electrochemical Performance
Authors: Segale Mayetu , Sigwadi Rudzani A. , Mokrani Touhami
Published: June 2023

Mesoporous silica nanoparticles were synthesized via sol–gel method to produce uniform size nanoparticles using n-Octadecyl-trimethoxy silane which gives a good dispersion of silica nanoparticles in hydrophobic mediums. Scanning electron microscopy (SEM), infrared spectroscopy, X-ray diffraction (XRD), thermal gravimetric analysis, and nitrogen adsorption-desorption tests were used to thoroughly investigate the nanocomposites' morphology and structure. BET results show a high surface are of 760 m2/g and specific high pore size (30Ȧ) and pore volume (0.336 cm3/g). The SEM results present that the mesoporous silica nanoparticles possess a well dispersed and uniform particle morphology and FTIR interpenetrating the well-prepared silica nanoparticles which possess Si-O-Si and Si-O bond. The XRD analysis confirmed the amorphous nature silica nanoparticles. The electrochemical properties of silica nanoparticles were evaluated in a potassium chloride solution. With the advantages of a large specific surface area and a suitable pore size distribution, a pair of broad and symmetric redox peaks centred at -0.15 V and 0.6 V appears. Mesoporous silica with a large effective specific surface area demonstrated excellent electrochemical performance, making them excellent candidates for supercapacitors and fuel cells.
Electrochemical High-Performance Hybrid Supercapacitors of Carbon Nanosphere Doped 3D Zr (II) Linked 4-{[(1E)-1-Hydroxy-3-Oxoprop-1-En-2-Yl]Sulfanyl}Benzoic Acid Metal Organic Frameworks
Authors: Nandi Santosh , Adimule Vinayak , Kerur Shankramma S. , Gupta Abhinay , Hosmane Sateesh , Batakurki Sheetal
Published: June 2023

In the present research work, carbon nanosphere (5 wt. %, 10 wt. % and 15 wt. %)/Zr- based metal organic frame works (CNS: Zr (II)-MOFs) with different molar ratios of the legend 4-{[(1E)-1-Hydroxy-3-Oxoprop-1-En-2-yl] Sulfanyl} Benzoic Acid (HOSBA) have been successfully synthesized by hydrothermal method. Studies using Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), scanning electron microscopy (SEM), and thermogravimetric analysis (TGA) have validated certain structural, optical, and morphological features. The supercapacitance performance of the synthesized MOFs was investigated using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). At a current density of 0.5 A g-1 and at a scan rate of 10 mV/s, the 15% CNS doped Zr-MOF demonstrated highest specific capacitance (Cs) of 239.4 F g-1. 15 wt.% CNS doped Zr-MOF proven power density of 2100 W kg-1 and maximum energy density of 14.82 Wh Kg-1 with capacitive retention of 77.63 % following 2000 cycles mark this combination a good for supercapacitors (SCs) material. Regardless of the synthetic conditions, we achieved MOFs which exhibited hetero structure formation with spherical morphologies. The results open us new and energy approach for the supercapacitor of the Zr-metal based MOFs and applications in the photonics, optoelectronics, and promising electrode material for electrochemical energy storage systems.
Impact of Sodium Tripolyphosphate on the Rheological Properties of Dams Sediments and Friction Factor during Hydraulic Dredging of Dams
Authors: Lakhache Brahim , Larbi Hammadi , Gaidi Laouni
Published: June 2023

The transporting of sediments across watershed systems and their placement in reservoirs causes expensive issues for the operators of dams in many different nations throughout the world. In addition to the reservoir's functional capacity steadily decreasing as sediment settles in it, silt removal is a sensitive and challenging process that frequently necessitates taking the reservoir out of service, which is practically unachievable in dry and semi-arid regions. De-silting by hydraulic dredging has recently become a necessity to increase their longevity. But during this operation there are load loss exists so it is necessary to find solutions to reduce it. The present paper revealed that use the Sodium Tripolyphosphate as a reducing agent of the friction factor during the hydraulic dredging of dams. To carry out this study, a rheumatic characterization of dams sediments and dams sediments -sodium tripolyphosphate mixtures was carried out using a torque controlled rheometer (Discovery Hybrid Rheometer DHR2 from TA instrument). The flow curves as a function of dose of sodium tripolyphosphate added to dam sediments were analysed by the modified Cross model. It is clearly shown, in this work, when the quantity of sodium tripolyphosphate is less than of 0.4 % causes a decrease in the yield stress, the zero shear rate viscosity (lower Newtonian plateau) and the infinite shear rate viscosity (upper Newtonian plateau). However, when dose of sodium tripolyphosphate is greater than the critical dose, the the yield stress, the zero shear rate viscosity (lower Newtonian plateau) and the infinite shear rate viscosity (upper Newtonian plateau) are increased. As a result, this study find that the increase on thixotropic behavior of dams sediments is occurred by the addition of sodium tripolyphosphate in a concentration ranging between 0.2 wt% and 0.8 wt% to 40 wt% and 45 wt% of dams sediments. The study also demonstrated that adding of 0.4 wt% of sodium tripolyphosphate to 40 wt% and 45 wt% dam sediments decreased the friction factor by 96% and 25% respectively.
Research Effectiveness of Regeneral Brake Energy on Toyota Prius Vehicles by Matlab/Simulink
Authors: Le Minh , Van Toan Nguyen
Published: June 2023

Regenerative brake control creates an optimal synergy between mechanical and electrical braking. Based on the study of vehicle dynamics under braking conditions propose a new control mode that ensures the best braking performance and maximum braking energy recovery. The implementation of the above control mode requires a combination of the traction control model and the brake control system. The HEV power distribution model is built using Matlab/ Simulink and the simulation results have shown a significant improvement in fuel consumption when using the regenerative braking system.
Crystal Facets Influence on Photocatalytic Properties of ZnO Nanomaterials
Authors: Alenezi Mohammad R. , Almeshal Abdullah M. , Alkhaledi Abdullah N.F.N.R.
Published: June 2023

Using a facile hydrothermal method, ZnO nanomaterials with various morphological structures (nanowires, nanodiscs, and nanostars) were produced. An investigation was conducted into the relationships between the exposed polar facets and the photocatalytic activities. Based on XPS, Pl, and structural analysis, it was discovered that the exposed facets’ chemsorption ability of the different ZnO nanomaterials with different morphologies plays a vital role in their photocatalytic properties. Zinc-terminated surfaces had the highest chemsorption ability and consequently the ZnO nanodiscs with the highest fraction of exposed Zinc-terminated facets were the ideal photocatalysts from the tested morphologies. This work emphasises the important influence of rational control over the nanomaterial morphology on its physical and chemical properties and therefore on its performance in various practical applications.
Thermal and Surface Area Properties of Micro and Nano Sized Pumice
Authors: Kiliçer Ali
Published: June 2023

Raw pumice samples were modified with nano carbon black, borax, and nano carbon-borax using the sol-gel method by applying surface modification processes, and the changes in the thermal behavior of the surface modification of the raw pumice were studied by characterizing them with FE-SEM, EDX, FT-IR, XRD, BET and TGA-DTA. In the analyses made with FE-SEM, it was observed that the surface and pore structure of the raw pumice changed after the modified process, and in the EDX analysis, it was determined that nano carbon black and borax adhered to the surface of the raw pumice. In the XRD results, no change in the crystal structure of the raw pumice was observed after the modified treatment. TGA-DTA analysis showed that the mass loss of raw pumice (P) was greater than pumice-nano carbon black (PC), pumice-borax (PB), and pumice-borax-nano carbon black (PBC). Accordingly, raw pumice showed a mass loss of approximately 25%, pumice-borax (PB) and pumice-nano carbon black (PC) 0.45%, and pumice-borax-nano carbon black (PBC) nearly 3%. According to the BET analysis results, it was determined that the raw pumice has a surface area of 28.126 m2/g. After the surface modification process, the surface area of the raw pumice was determined as 52.127 m2/g in the pumice-nano carbon black sample, 49.125 m2/g in the pumice-borax sample, and 32.523 m2/g in the pumice-borax-carbon black sample. Considering the data obtained, the best surface properties were showed in pumice-nano carbon black (PC). Research results showed that; the modification process with nano carbon black and borax changed the thermal behavior of raw pumice.
Modulation Period Effect on the CrN/TiN Coating Properties
Authors: Petkov Nikolay , Bakalova Totka , Bahchedzhiev Hristo , Krafka Michal , Lemberk Ladislav
Published: June 2023

The article presents the investigation of the effect of the modulation period of the nanomultilayer CrN/TiN coatings, deposited by arc-PVD technology, on the coatings' mechanical and tribological properties. The studied modulation period was in the range from 6 to 16.5 nm. The measured coatings hardness was in the range of 26 - 29 GPa, and the plasticity index was 0.07. The tribological properties were measured against Al2O3 and ZrO2 counterparts. The lowest value of wear rate was measured at the CrN/TiN nanomultilayer costing with modulation period of 8.4 nm.
Endothelial ICAM-1 Adhesome Recruits CD44 for Optimal Transcellular Migration of Human CTLs
Authors: van Steen Abraham C I , Grönloh Max L B , Joosten Sander , van Alphen Floris , van den Biggelaar Maartje , Nolte Martijn A , Spaargaren Marcel , van Buul Jaap D , Schoppmeyer Rouven
Published: June 2023

The endothelial lining of blood vessels is covered with a thin polysaccharide coat called the glycocalyx. This layer of polysaccharides contains hyaluronan that forms a protective coat on the endothelial surface. Upon inflammation, leukocytes leave the circulation and enter inflamed tissue by crossing inflamed endothelial cells, mediated by adhesion molecules such as ICAM-1/CD54. To what extent the glycocalyx participates in the regulation of leukocyte transmigration is not clear. During extravasation, leukocyte integrins cluster ICAM-1, resulting in the recruitment of a number of intracellular proteins and subsequent downstream effects in the endothelial cells. For our studies, we used primary human endothelial and immune cells. With an unbiased proteomics approach, we identified the full ICAM-1 adhesome and identified 93 (to our knowledge) new subunits of the ICAM-1 adhesome. Interestingly, we found the glycoprotein CD44 as part of the glycocalyx to be recruited to clustered ICAM-1 specifically. Our data demonstrate that CD44 binds hyaluronan to the endothelial surface, where it locally concentrates and presents chemokines that are essential for leukocytes to cross the endothelial lining. Taken together, we discover a link between ICAM-1 clustering and hyaluronan-mediated chemokine presentation by recruiting hyaluronan to sites of leukocyte adhesion via CD44.
Guidelines for Haptic Interaction in a Driver Vehicle Interface
Authors:   Driver Vehicle Interface (DVI) Committee
Published: June 2023

The scope of this document is to describe system design guidelines for the use of haptic interfaces to manage system safety and functional aspects of designs applicable for OEM and aftermarket systems in light vehicles. The intent of these guidelines is to help system designers determine when to use haptic interfaces and how to ensure their effectiveness. These may be stand-alone interfaces or the haptic aspects of multi-modal (audio, video, speech, haptic) interfaces. Excludes haptic systems designed for use by passengers, which may be addressed in a future version.
Assessment of two methods on zoning wildfire propagation in Itacolomi State Park, Minas Gerais State, Brazil
Authors: Santana Neto Vicente Paulo , Soares David Marques , Silva Thaís Camargos da , Torres Fillipe Tamiozzo Pereira
Published: June 2023

This study aimed to assess the wild fire propagation risk to wildfires in the Itacolomi State Park, in Minas Gerais State, Brazil, using GIS and to compare the efficiency of the incident solar radiation over the aspect variable. The following variables were used: land cover/use (LCU), slope (SLP), slope curvature (CUR), aspect (ASP) and incident solar radiation (SOL). The weights of each variable were calculated from the ratio between the total area and the burned area of each class in order to generate the fire propagation risk maps. Fire data from 2016 to 2019 were used for validation. When the moderate risk class was considered susceptible, inadequate precision was observed for both methods (ASP and SOL). On the other hand, when the moderate class was considered non-susceptible to fire, the results presented moderate accuracy. Furthermore, the methods using SOL and ASP showed similar results. The results can guide fire mitigation actions on the park.
Seismic Anisotropy in the upper crust beneath the Sanjiang lateral collision zone in the southeastern margin of the Tibetan Plateau revealed by S wave splitting from a temporary array
Authors: Li Xinyi , Gao Yuan
Published: June 2023

The Sanjiang lateral collision zone is a key region to understand the Tibetan Plateau’s tectonic structure and the Tethys-Himalayan’s tectonic evolution. Complex tectonic structures, intense crustal deformation, frequent seismicity, and abundant metal deposits are all present. With the seismic data recorded by a temporary array (SJ-Array) and permanent stations (Nov. 2018 ~ Dec. 2020), this paper adopts the S wave splitting technique to obtain the essential properties of upper crustal anisotropy. In the interested area, it is shown that the dominant polarization of the fast S wave is NNW, with a mean polarization direction of 167.9°. In addition, the study area can be divided into three subzones from the west to the east: A, B, and C, according to the various mean polarizations varying from NNW, NS to NNE. The mean normalized time delay between the two split S waves is 4.0 ms/km, and the range of time delay is from 2.0 to 6.3 ms/km. The largest time delay is located at the east side of the western boundary of the Sichuan-Yunnan rhombus block. Furthermore, there is a strip area of strong anisotropy stretching along the western segment of the Lijiang-Xiaojinhe fault. These all demonstrate the local tectonic differences and indicate that the crustal structure may be strongly controlled by the fault and block boundary strike.
Arvâsî Şeyhlerinin Anadolu’ya Gelen İlk Ceddi: Şeyh Kâsım el-Bağdâdî ve Seyâhatnâme Adlı Eseri’nin Kayıp Olan Orijinal Nüshası
Authors: İDİZ Ferzende
Published: June 2023

Başlangıçta Kâdiriyye daha sonra Nakşibendiyye tarîkatlarını temsil etmiş olan ve Arvâsîler olarak bilinen ailenin Anadolu’ya gelen ilk ceddi, Hacı Kasım el-Bağdâdî’dir. Moğolların Bağdat’ı istilası üzerine Şeyh Abdurrezzâk el-Kâdirî’nin halifelerinden Hacı Kâsım el-Bâğdadî, şeyhinden izin alarak ailesi ile birlikte Anadolu’ya göç etmiştir. Musûl’dan Mardin, Diyarbakır, Urfa ve Bursa’ya giden el-Bağdâdî, Siirt’in Pay köyüne yerleşerek irşad görevini sürdürmüş ve dolayısıyla Anadolu’da Kâdiriyye Tarîkatı’nı yayan önemli şahsiyetlerden birisi olmuştur. Ölmeden önce oğlu ve halifesi olan Şeyh Haydar’a geçmişlerini anlatan Seyâhatnâme adında bir eser yazmasını vasiyet etmiş ve oğlu da vasiyetini yerine getirmiştir. Söz konusu Seyâhatnâme’de ailenin Anadolu’ya gelişi, aile şeceresi, Şeyh Kâsım el-Bağdâdî’nin tarîkat icâzeti gibi önemli bilgiler birinci ağızdan aktarılmıştır. Son zamanlarda bulup inceleme fırsatı elde ettiğimiz yazma eser, Kâdiriyye Tarîkatı’nın Anadolu’ya gelişi, Bursa’nın fetih tarihi vb. bazı tarihi olaylara ışık tutuyor olması açısından önemli bir yer teşkil etmektedir. Bu makalede Şeyh Kâsım el-Bağdâdî’ye ait Seyâhatnâme’nin orijinal nüshası ve içeriği hakkında bilgi verilecektir.
Problems of preservation, protection and restoration of cultural heritage objects and museum collections in the conditions of war
Authors: Pawłowska Aneta , Pabich Marek , Ivashko Oleksandr , Dmytrenko Andrii , Kozłowski Tomasz , Bigaj Przemysław
Published: June 2023

The article is devoted to the problem of the preservation and restoration of objects of cultural heritage – monuments and museum collections – in the conditions of war. The article’s analysis is supplemented by a brief overview of how mankind has approached the protection of its material cultural heritage in historical times. According to data verified by UNESCO, as of November 21, 2022, 218 sites have been damaged in Ukraine since the start of the war on February 24, including 95 religious sites, 17 museums, 78 buildings of historical and/or artistic significance, 18 monuments and 10 libraries. The experience of the ongoing Russian–Ukrainian war has once again proven the insecurity of cultural heritage sites and museums in the face of conflict. The authors analysed the Ukrainian experience of protecting monuments, the effectiveness of these efforts, and various ways of preserving the cultural heritage of peoples during wars. The discussion closes with conclusions on possible remedies for the destruction of material cultural objects in Ukraine.
THE INFLUENCE OF OVERCONFIDENCE, REGRET AVERSION, LOSS AVERSION, AND HERDING BEHAVIOR ON INVESTMENT DECISION IN THE CAPITAL MARKET WITH THE MODERATING ROLE OF RISK PERCEPTION IN GENERATION Z STUDENTS
Authors: Sukma Ardini Faradita , Achyani S.E Dr Fatchan , M.Si
Published: June 2023

Behavioral finance arises as a result of inefficient markets. Behavioral finance leads more to the irrational behavior of investors towards their decisions. This study aims to determine and empirically prove the influence of Overconfidence, regret aversion, loss aversion, and herding behavior on investment decisions. An investor's risk perception as an analysis carries a logical rationale for how investors choose when they are faced with multiple investment choices. I used a questionnaire-based survey method to collect sample data of 120 respondents. research analysis method using Partial Least Square. According to the research conducted, the results of Overconfidence have a significant positive effect, while Regret Aversion, Loss Aversion, Herding behavior, risk perception of overconfidence, regret aversion, loss aversion and herding behavior on risk decisions have a non-significant effect.
THE EFFECT OF FINANCIAL DISTRESS, LEVERAGE, PROFITABILITY, AND LIQUIDITY ON ACCOUNTING PRUDENCE
Authors: u Rifq Muhammad Dhiya , Sasongko Noer
Published: June 2023

This study aims to analyze the effect of financial distress, leverage, profitability and liquidity on accounting prudence. This research is a quantitative study using multiple linear regression analysis with the help of SPSS software. The population in this study are Manufacturing companies in the Goods and Consumer Sector which are listed on the Indonesia Stock Exchange for the 2018-2021 period. The sampling technique in this study used a purposive sampling method, in order to obtain those that met the criteria with 140 data used as research samples. The results of the research analysis show that financial distress, profitability and liquidity have no effect on accounting prudence while leverage has an effect on accounting prudence.
IS ARCHITECTURE A FORM OF ART?
Authors: Chawla Aanavi
Published: June 2023

Most definitions describe architecture as “A form of Art.” As Dan Rice, an American entertainer said ‘There are three forms of visual art: Painting the art to look at; Sculpture the art you can walk around, and Architecture the art you can walk through’, we’ll be dealing with the 3rd form. Most research papers suggest art as the generator of architecture, this paper unfolds to answer the complex question whether architecture is a form of art or not. It goes about dealing with basic questions like what is architecture and what is art. Then portrays the relationship between art and architecture; their similarities and separation. Elements used to create a structure like mathematics, physics, creativity, etc are stated. A question “Does the creative process outweigh the other elements?” is raised and answered. A study showing how most successful architects are artists is put forth giving examples from history. Finally, a conclusion is made that architecture indeed is a form of art, art being its generator and backbone.
INVESTIGATING THE LEDDO, JAYANTI AND DUAN (2019) REVISED PROSPECT THEORY VALUE FUNCTION WITH PAKISTANI STUDENTS
Authors: Leddo John , Danyal Ayat
Published: June 2023

Prospect Theory (Kahneman and Tversky, 1979) is a highly influential theory that predicts decision making when people are confronted with choices involving gains or losses with different degrees of uncertainty. Prospect Theory argues that people are generally risk averse when it comes to seeking gains and risk seeking when it comes to avoiding losses. Leddo et al. (2019) noted that the original formulation of Prospect Theory did not take into account people’s goals. They argued that people would be willing to take risks to achieve goals but become more risk averse once those goals are achieved, and they would become risk averse when confronted with losses in order to avoid a highly negative outcome but become more risk seeking to negate the negative outcome once that outcome occurred. Leddo et al.’s research confirmed this hypothesis, leading to a revision of Prospect Theory’s value function. The present research investigates whether the same revised value function can predict decisions made by people in other cultures. Accordingly, the present paper investigates whether the Leddo et al. (2019) findings will hold up with people from Pakistan, a poor country with a capitalistic economy. In the present study 80 adult professionals were given scenarios involving business decisions involving gains or losses above or below defined aspiration and avoidance levels (four scenarios in total with 20 participants per scenario). Results showed that participants demonstrated more risk-seeking behaviors for decisions involving losses than those involving gains, consistent with the original Kahneman and Tversky (1979) framework and inconsistent with the revised Leddo et al. (2019) framework but demonstrated more risk-seeking behaviors for decisions involving outcomes below the avoidance and aspiration levels than for decisions involving outcomes above the avoidance and aspiration levels, consistent with the revised Leddo et al. (2019) framework.
Efectos de la inteligencia emocional en el liderazgo de la universidad pública
Authors: Jiménez Silva Walter Ramiro , Silva Ordóñez Iván Fernando , Telenchana Santos Paul Ignacio , Hernández Altamirano Héctor Enrique
Published: June 2023

La inteligencia emocional ha presenciado mínimas intervenciones en el contexto universitario, es por ello que, sus servidores se encuentran medianamente vinculados al tema de gestión con su próximo. No obstante, el liderazgo ha atraído una atención considerable por parte de académicos y profesionales; debido a este creciente interés, se realizaron notables desarrollos teóricos y empíricos que han combinado al eje de inteligencia emocional. Es por ello que, el trabajo tuvo el propósito de analizar la influencia de los factores de la inteligencia emocional que repercuten en el estilo de liderazgo de los directivos de la Universidad Técnica de Ambato desde la perspectiva de los servidores públicos. El método aplicado se encargó de evaluar la percepción del servidor desde el punto de vista del liderazgo y la inteligencia emocional, a través de técnicas estadísticas como el análisis factorial exploratorio. El constructo de correlación estructuró al reconocimiento emocional, control–regulación emocional, y empatía. La encuesta fue aplicada a 381 colaboradores. La confiabilidad del instrumento fue del 84% de precisión. Los resultados revelaron que el liderazgo educativo brinda poder simbólico de cambio organizacional y este se relaciona con la inteligencia emocional del líder que permite un cambio de comportamiento en los servidores institucionales. Por tal razón, se debe tomar en consideración los ejes de evaluación para mejorar el desempeño del equipo de trabajo.
Formación contable y tributaria de las empresas comerciales de Riobamba: un acercamiento a la orientación técnica y profesional
Authors: Dillon Ricaurte Verónica Soledad , Erazo Brito Roberto Carlos , Erazo Brito Gonzalo Fabián
Published: June 2023

Las empresas comerciales de Riobamba han palpado diversos problemas y restricciones con respecto a los temas contables y tributarios por desconocimiento de sus obligaciones con el SRI, por costos elevados en los servicios de asesoramiento. El objetivo del trabajo de investigación consistió en analizar la influencia de la formación profesional contable y tributario en las empresas comerciales de la ciudad de Riobamba. Para lo cual se aplicó 363 encuestas a distintos centros comerciales de la ciudad, se evaluó factores como beneficios impedimentos, motivación estrategias, asistencia técnica y participación profesional a través de un método cuantitativo con alcance correlacional. Finalmente se concluyó que la formación contable y tributaria es sumamente necesaria para las empresas comercializadoras, ya que, esto va a permitir que se controle absolutamente todas las operaciones que se efectúen en las organizaciones.
University-Industry Partnerships for Positive Change
Authors: Bodley-Scott Tim , Oymak Ersel
Published: June 2023

Sharing the authors' extensive experience in working at the interface between academia, industry and government, this book is designed to enable powerful university-industry partnerships that can play a pivotal role in achieving the seventeen UN Sustainable Development Goals (SDGs).