bluuebunny/crossref_metadata_2025 huggingface dataset:
COULD “DIGITAL GOLD” RESIST GLOBAL SUPPLY CHAIN PRESSURE?
Authors: Qin Men , Su Chi-Wei , Wang Yunxu , Doran Nicoleta Mihaela
Published: April 2023

Exploring the safe-haven characteristics of bitcoin from novel perspectives is crucial to diversify the investment and reap the benefits. This investigation employs bootstrap full-and sub-sample techniques to probe time-varying interrelation between global supply chain pressure (GSCP) and bitcoin price (BP), and further answer if “digital gold” could resist the strains of global supply chain. The empirical outcomes suggest that GSCP positively and negatively affects BP. The positive influence points out that high GSCP might boost the international bitcoin market, driving BP to rise, which indicates that “digital gold” could resist the pressures of global supply chain. But the negative effect of GSCP on BP could not support the above view, mainly affected by the weak purchasing power and more valuable assets, which is not consistent with the assumption of the inter-temporal capital asset pricing model (ICAPM). In turn, GSCP is adversely affected by BP, highlighting that the international bitcoin market may be viewed as a stress reliever for the global supply chain. Against a backdrop of the deteriorative Russia-Ukraine war and the intensifying global supply chain crisis, the above conclusions could bring significative lessons to the public, enterprises and related economies.
THE IMPACT OF EPIDEMICS ON GREEN INNOVATION: GLOBAL ANALYSIS
Authors: Zhao Xin-Xin , Ma Jie , Wen Jun , Chang Chun-Ping
Published: April 2023

Epidemics and their resulting pandemics have become essential factors influencing economic development, financial stability, poverty, and ultimately a country’s innovation level, including green technology innovation. This research thus investigates epidemic events’ correlation to green innovation by operating with skewed panel data involving 134 countries from 1971 to 2018 and provides compelling proof that Epidemics have a detrimental effect on green innovation, not only for the current year but also for the next six years. We also show that the quality of institutions and financial development levels weaken epidemics’ detrimental effects on green innovation. Overall, the findings would draw particular attention from policymakers.
Calibrating X-Ray Binary Luminosity Functions via Optical Reconnaissance. II. The High-mass XLF and Globular Cluster Population of X-Ray Binaries in the Low Star-forming Spiral M81
Authors: Hunt Qiana , Gallo Elena , Chandar Rupali , Mok Angus , Prestwich Andrea
Published: April 2023

We characterize the optical counterparts to the compact X-ray source population within the nearby spiral galaxy M81 using multiband Hubble Space Telescope (HST) imaging data. By comparing the optical luminosities and colors measured for candidate donor stars and host clusters to stellar and cluster evolutionary models, respectively, we estimate the likely masses and upper age limits of the field and cluster X-ray binaries. We identify 15 low-mass X-ray binaries (i.e., donor star mass ≲ 3 M
⊙) within ancient globular clusters, as well as 42 candidate high-mass X-ray binaries (i.e., donor star mass ≳ 8 M
⊙). To estimate the likelihood of misclassifications, we inject 4000 artificial sources into the HST mosaic image and conclude that our classifications of globular clusters and high-mass X-ray binaries are reliable at the >90% level. We find that globular clusters that host X-ray binaries are on average more massive and more compact than globular clusters that do not. However, there is no apparent correlation between the X-ray brightness of the clusters and their masses or densities, nor are X-ray binary hosts more X-ray luminous than the general field population of low-mass X-ray binaries. This work represents one of the first in-depth analyses of the population of X-ray binaries within globular clusters in a spiral galaxy.
The Evolution of Protostellar Outflow Cavities, Kinematics, and Angular Distribution of Momentum and Energy in Orion A: Evidence for Dynamical Cores
Authors: Hsieh 謝 Cheng-Han 承翰 , Arce Héctor G. , Li Zhi-Yun , Dunham Michael , Offner Stella , Stephens Ian W. , Stutz Amelia , Megeath Tom , Kong Shuo , Plunkett Adele , Tobin John J. , Zhang Yichen , Mardones Diego , Pineda Jaime E. , Stanke Thomas , Carpenter John
Published: April 2023

We present Atacama Large Millimeter/submillimeter Array observations of the ∼10,000 au environment surrounding 21 protostars in the Orion A molecular cloud tracing outflows. Our sample is composed of Class 0 to flat-spectrum protostars, spanning the full ∼1 Myr lifetime. We derive the angular distribution of outflow momentum and energy profiles and obtain the first two-dimensional instantaneous mass, momentum, and energy ejection rate maps using our new approach: the pixel flux-tracing technique. Our results indicate that by the end of the protostellar phase, outflows will remove ∼2–4 M
⊙ from the surrounding ∼1 M
⊙ low-mass core. These high values indicate that outflows remove a significant amount of gas from their parent cores and continuous core accretion from larger scales is needed to replenish core material for star formation. This poses serious challenges to the concept of cores as well-defined mass reservoirs, and hence to the simplified core-to-star conversion prescriptions. Furthermore, we show that cavity opening angles, and momentum and energy distributions all increase with protostar evolutionary stage. This is clear evidence that even garden-variety protostellar outflows: (a) effectively inject energy and momentum into their environments on 10,000 au scales, and (b) significantly disrupt their natal cores, ejecting a large fraction of the mass that would have otherwise fed the nascent star. Our results support the conclusion that protostellar outflows have a direct impact on how stars get their mass, and that the natal sites of individual low-mass star formation are far more dynamic than commonly accepted theoretical paradigms.
Search for X-Ray Quasiperiodicity of Six AGNs Using the Gaussian Process Method
Authors: Zhang Haoyang , Yang Shenbang , Dai Benzhong
Published: April 2023

The quasiperiodic oscillations (QPOs) found in active galactic nuclei (AGNs) are a very interesting observational phenomenon implying an unknown physical mechanism around supermassive black holes. Several AGNs have been found to have QPO phenomena in the X-ray energy band. Long-duration X-ray observations were collected and reduced for six AGNs with a suspected QPO. The Gaussian process model celerite was used to fit the light curves and to search for the quasiperiodicity behavior. The power spectral density and parameter posterior distributions of each light curve were calculated with the optimal model. Of the six AGNs, only RE J1034+396 was found to have a QPO of about 3600 s. The other five sources do not show QPO modulation behavior. We propose that a hot spot on the accretion disk is a possible physical mechanism resulting in this quasiperiodic behavior of AGNs.
Detection of a Supervirial Hot Component in the Milky Way Circumgalactic Medium Along Multiple Sight Lines by Using the Stacking Technique
Authors: Lara-DI Armando , Mathur Smita , Krongold Yair , Das Sanskriti , Gupta Anjali
Published: April 2023

The study of the elusive hot component (T ≳ 107 K) of the Milky Way circumgalactic medium (CGM) is a novel topic for understanding Galactic formation and evolution. In this work, we use the stacking technique through 46 lines of sight with Chandra ACIS-S HETG totaling over 10 Ms of exposure time and nine lines of sight with ACIS-S LETG observations totaling over 1 Ms of exposure time, to study in absorption the presence of highly ionized metals arising from the supervirial temperature phase of the CGM. Focusing in the spectral range 4–8 Å, we were able to confirm the presence of this hot phase with high significance. We detected transitions of Si XIV K
α (with a total significance of 6.0σ) and, for the first time, S XVI K
α (total significance of 4.8σ) in the rest frame of our own galaxy. For S XVI K
α we found a column density of

1.50

−
0.38

+
0.44

×

10

16

cm

−
2

. For Si XIV K
α we measured a column density of 0.87 ± 0.16 × 1016 cm−2. The lines of sight used in this work are spread across the sky, probing widely separated regions of the CGM. Therefore, our results indicate that this newly discovered hot medium extends throughout the halo and is not related only to the Galactic bubbles. The hot gas location, distribution, and covering factor, however, remain unknown. This component might contribute significantly to the missing baryons and metals in the Milky Way.
Recovering Cosmic Microwave Background Polarization Signals with Machine Learning
Authors: Yan Ye-Peng , Wang Guo-Jian , Li Si-Yu , Xia Jun-Qing
Published: April 2023

Primordial B-mode detection is one of the main goals of current and future cosmic microwave background (CMB) experiments. However, the weak B-mode signal is overshadowed by several Galactic polarized emissions, such as thermal dust emission and synchrotron radiation. Subtracting foreground components from CMB observations is one of the key challenges in searching for the primordial B-mode signal. Here, we construct a deep convolutional neural network (CNN) model, called CMBFSCNN (Cosmic Microwave Background Foreground Subtraction with CNN), which can cleanly remove various foreground components from simulated CMB observational maps at the sensitivity of the CMB-S4 experiment. Noisy CMB Q (or U) maps are recovered with a mean absolute difference of 0.018 ± 0.023 μK (or 0.021 ± 0.028 μK). To remove the residual instrumental noise from the foreground-cleaned map, inspired by the needlet internal linear combination method, we divide the whole data set into two “half-split maps,” which share the same sky signal, but have uncorrelated noise, and perform a cross-correlation technique to reduce the instrumental noise effects at the power spectrum level. We find that the CMB EE and BB power spectra can be precisely recovered with significantly reduced noise effects. Finally, we apply this pipeline to current Planck observations. As expected, various foregrounds are cleanly removed from the Planck observational maps, with the recovered EE and BB power spectra being in good agreement with the official Planck results.
Global Dynamic Scaling Relations of H i-rich Ultra-diffuse Galaxies
Authors: Hu 胡 Hui-Jie 慧杰 , Guo 郭 Qi 琦 , Zheng 郑 Zheng 征 , Yang 杨 Hang 航 , Tsai 蔡 Chao-Wei 肇伟 , Zhang 张 Hong-Xin 红欣 , Zhang 张 Zhi-Yu 智昱
Published: April 2023

The baryonic Tully–Fisher relation (BTFR), which connects the baryonic mass of galaxies with their circular velocities, has been validated across a wide range of galaxies, from dwarf galaxies to massive galaxies. Recent studies have found that several ultra-diffuse galaxies (UDGs) deviate significantly from the BTFR, indicating a galaxy population with abnormal dynamical properties. However, such studies were still confined within a small sample size. In this study, we used the 100% complete Arecibo Legacy Fast Arecibo L-band Feed Array (ALFALFA) to investigate the BTFR of 88 H i-rich UDGs (HUDGs), which is the largest UDG sample with dynamical information. We found that the HUDGs form a continuous distribution in the BTFR diagram, with high-velocity galaxies consistent with normal dwarf galaxies at a 1σ level, and low-velocity galaxies deviating from the BTFR, in line with that reported in the literature. We point out that the observed deviation may be subject to various selection effects or systemic biases. Nevertheless, we found that the significance of the deviation of HUDGs from the BTFR and TFR are different, i.e., they either deviate from the BTFR or from the TFR. Our result indicates that a high gas fraction may play an important role in explaining the deviation of HUDGs from BTFR.
Résonances sensorielles en thérapie familiale psychanalytique
Authors: Lebon Cristelle
Published: April 2023

L’auteure propose une écoute des formes sensorielles et climatiques en thérapie familiale psychanalytique. Elle dégage les logiques archaïques d’un processus de symbolisation primaire à l’œuvre en séance, et en présente deux formes particulières : le souvenir hybride et la rupture climatique dans le transfert. Elle développe une approche des organisateurs psychiques inconscients du néo-groupe permettant d’en repérer certains de registre archaïque, comme les signifiants formels. L’article se conclut sur le rôle des résonances sensorielles en tfp et leurs spécificités par rapport aux résonances fantasmatiques.
La sensorialité et ses résonances, enjeu du lien transfert-contre-transfert en relaxation psychanalytique de groupe
Authors: Marvaud Jean
Published: April 2023

La relaxation psychanalytique Sapir pratiquée en groupe est un dispositif privilégié pour comprendre le bain sensoriel du relaxant. La dynamique des résonances, conscientes et inconscientes est toujours présente avec ses effets dans le monde interne de chacun et dans le corps groupal. Cela demande une attitude contenante et une écoute particulière. Existe un échange continuel dans le lien transféro-contre-transférentiel. Le travail sur le contre-transfert est obligatoire pour mieux saisir les “agirs” contre-transférentiels et la manière dont le relaxant s’insère dans la vie psychique du thérapeute.
Attachement, narrativité et psychanalyse familiale. Esquisse d’un maillage conceptuel
Authors: Boudarse Khalid
Published: April 2023

Considérant l’étude de la narrativité comme un champ commun à la psychanalyse et à la théorie de l’attachement, nous envisageons dans cet article théorique des maillages entre les deux corpus afin de les mettre au service de la consultation familiale psychanalytique. Après avoir traité de l’identité narrative selon Paul Ricœur et des tensions entre vérité historique et récit à la fois en philosophie de l’histoire et dans les travaux sur l’attachement, nous décrirons trois nœuds du maillage conceptuel : l’exploration de la trame psychique familiale, le mirroring groupal et le sentiment de sécurité familial. Nous traiterons enfin la médiation thérapeutique, qui est particulièrement conseillée, comme un lieu privilégié pour l’étude et l’appréhension du rapport de ces trois nœuds à la créativité familiale.
Le renoncement à la parentalité chez un couple : « ils se marièrent et n’eurent pas d’enfant »
Authors: Mazoyer Anne-Valérie , Bourdet-Loubère Sylvie
Published: April 2023

L’article interroge les situations, de plus en plus fréquemment rencontrées dans la clinique actuelle, des hommes ou des femmes présentant un refus conscient d’enfant. L’exploration de l’élaboration de la position en « contre » vis-à-vis de la reproduction et, au-delà, de la parentalité chez un couple montre les aléas et avatars du désir d’enfant infantile et de l’histoire subjective et conjugale. Ce renoncement dit volontaire à la parentalité questionne les liens d’alliance, le choix d’objet originel et peut être éclairé par des blessures liées à la filiation. Ce travail illustre par ailleurs les effets d’un espace de mise en narration (même dans un contexte de recherche) sur la relance des processus psychiques et les remaniements (positionnements identificatoires) qui peuvent en découler.
A multigrid discretization scheme of discontinuous Galerkin method for the Steklov-Lamé eigenproblem
Authors: Xu Liangkun , Bi Hai
Published: April 2023

In this paper, for the Steklov-Lamé eigenvalue problem, we propose a multigrid discretization scheme of discontinuous Galerkin method based on the shifted-inverse iteration. Based on the existing a priori error estimates, we give the error estimates for the proposed scheme and prove that the resulting approximations can achieve the optimal convergence order when the mesh sizes fit into some relationships. Finally, we combine the multigrid scheme and adaptive procedure to present some numerical examples which indicate that our scheme are locking-free and efficient for computing Steklov-Lamé eigenvalues.
Personalized federated learning for heterogeneous data: A distributed edge clustering approach
Authors: Firdaus Muhammad , Noh Siwan , Qian Zhuohao , Larasati Harashta Tatimma , Rhee Kyung-Hyune
Published: April 2023

Federated learning (FL) is a distributed machine learning technique that allows multiple devices (e.g., smartphones and IoT devices) to collaborate in the training of a shared model with each device preserving the privacy of its local data. However, the highly heterogeneous distribution of data among clients in FL can result in poor convergence. In addressing this issue, the concept of personalized federated learning (PFL) has emerged. PFL aims to tackle the effects of non-independent and identically distributed data and statistical heterogeneity and to achieve personalized models with rapid model convergence. One approach is clustering-based PFL, which utilizes group-level client relationships to achieve personalization. However, this method still relies on a centralized approach, whereby the server coordinates all processes. To address these shortcomings, this study introduces a blockchain-enabled distributed edge cluster for PFL (BPFL) that combines the benefits of blockchain and edge computing. Blockchain technology can be used to enhance client privacy and security by recording transactions on immutable distributed ledger networks, thereby improving client selection and clustering. The edge computing system offers reliable storage and computation such that computational processing is locally performed in the edge infrastructure to be closer to clients. Thus, the real-time services and low-latency communication of PFL are improved. However, further work is required to develop a representative dataset for the examination of related types of attacks and defenses for a robust BPFL protocol.
Introduction
Authors: Siringoringo Hotniar , Kuruppuge Ravindra H. , Misdiyono Misdiyono , Murtiasih Sri
Published: April 2023

A family business is a venture which is possessed and controlled by family members. Many family businesses were started from small scales and grow to become multinational companies, such as Walmart, Berkshire Hathaway, Ford Motor Company, etc. Family businesses have been proven play important roles in driving the global economy. This kind of business creates an average of 60% of jobs and contributes to global gross domestic product an average of 67%. During this economic crisis that is happening globally, family businesses have proven their resilience to the crisis.
Longterm Cycles of Innovation in Europe's Textile Business
Authors: Hallier Bernd , Nencheva Violena Hubenova
Published: April 2023

The textile business is an excellent example for permanent transformations of the lifestyle of consumers. The first cycle in the Darwinism of the European textile sector was dominated by traders' knowledge about the sources of the product-materials and opportunities for processing. In a second phase covering the start of industrial mass-production and professional mass-distribution, outlets for textiles were established with benchmarks at high frequency spots in down-towns of acclomerations like Berlin, Cologne, London, or Paris. Department stores became the anchor of cities and for life-style driven citizens. In the third phasis the outlet-dominance is attacked by IT-driven businesses by the development of tools like the European article numbering-system, chips and QR-codes, clouds for big data and data mining, artificial intelligence, and virtual reality. For the textile traders it is an improvement of the efficiency by the ability to control the total supply chain electronically. Of course, this is resulting in big changes for the supply patterns.
The Digitalization of Micro, Small, and Medium Enterprises in Indonesia as a Part of Policy Implementation in Overcoming the COVID-19 Pandemic
Authors: Hanum Yuhilza
Published: April 2023

The COVID-19 pandemic affects all aspects of life for everyone in this world. In Indonesia, micro, small, and medium enterprises (MSMEs), which are mostly family businesses, are among the worst hit, since they do not have the stable capital backup as is the case in big enterprises. Since MSMEs contribute significantly to Indonesia's GDP, this problem needs government assistance for its recovery. Policies at several levels are put to practice and to be implemented. Digitalization of businesses has started even before the pandemic, and is more widely utilized in this condition. Therefore, the policies emphasize regulating the digitalization of MSMEs from the provision of the internet to accommodating their transactions.
Exploring How Family Businesses Turn COVID-19 Challenges Into Opportunities
Authors: Wijayawardena Kanchana , Padmini Chandra , Sachitra Vilani
Published: April 2023

The sudden spread of Covid-19 around the world is causing significant damages to the corporate sector. Family businesses are not an exception to the crisis. During a pandemic, one of the most distinctive traits of a family business may be to react effectively to keep the business afloat. Family firms have been exposed to be better equipped to survive periods of political uncertainty and natural disasters with the courses of a mix of long-term horizon, and social and political capital. Conceptually, little is still acknowledged about how they survive and sustain during the COVID-19 pandemic, and the implications of family control on the ability of firms to overcome a pandemic are unclear. The authors explore how family businesses in the floriculture sector in Sri Lanka react and cope with this unexpected crisis, COVID-19. This study reveals how institutional theory links with macro, micro, and meso levels of interactions, and the model offers a richer understanding of the survival, resilience, and renewal process of floriculture family businesses in Sri Lanka.
Sustainable Supply Chain Practices in Circular Economy
Authors: Gupta Rahul
Published: April 2023

Conventionally supply chain is a complex web, comprising multiple entities of suppliers, manufacturers, retailers, and customers. Participants put their best efforts into zeroing in on the gap between demand and supply via operational efficiency and value creation. There are various reasons for not sourcing these materials for reutilization; one of the major reasons for not using this material is the higher cost associated with its sourcing and the easy availability of fresh materials. Hence supply chain strategies need to be sustainable for searching for new avenues for sourcing these materials. In the case of technical goods, its digital manifest is important to narrate its resource composition, its quality, and quantity to determine recyclable value. Controversy with the circular economy is odd for various manufacturing and selling concepts to narrate individual ownership and obsolescence value. Its benefits are derived from gains through energy efficiency, and results obtained by practicing reverse supply chain concepts.
A Circular Supply Chain in E-Commerce Businesses in India
Authors: Kudtarkar Sandeep Ganpat , Srivalli Balijepalli
Published: April 2023

The expansion of e-commerce post-Covid-19 pandemic has widened its environmental footprint the world over and in India. Managing sustainable supply chain operations and incorporating sustainable practices are big challenges for the e-commerce industry in India. Plastic leakage into nature is the largest sustainability challenge currently in the eCommerce industry. The e-commerce companies through their environmental practices need to ensure that the boxes and bubble mailers should reach the recycling plants and not landfills. It is an opportune time to invest in a circular economy model to build a resilient economy and rectify the climate problems to make future generations reap the fruits of the economic, environmental, and societal benefits of a new era. This new era of circular economy of sustainable businesses will certainly reward those who will take leadership in terms of environmental initiatives. As the green trend continues to rise the role of sellers and suppliers in e-commerce business is gaining importance in the circular economy.
Implementation of Advanced Technology for Industrial Sustainability Through Circular Economy Portfolio
Authors: Rath Kali Charan , Sowmya Nagavarapu , Panda Lakshmi Prasad
Published: April 2023

The 17 sustainable development goals provide environment friendly policies that address societal challenges. The circular economy and advanced technology are able to implement substantial changes and assist in the accomplishment of the SDGs. The international financial system is composed of four ranges: items, tasks, groups, and strategies. Clean assembly methods, effective distribution strategies, and the notion that items will be recycled from the start are some of the production methods that must be incorporated in the business plans so as to ensure benefit for both the public and private sectors. As an alert, all manufacturers must be in touch with their customers through various innovative ways. In this chapter of the book, the possibility of plan mediation through the use of innovative support arrangements is well explained. This chapter also describes the importance of the reuse of products and various aspects of a circular economy for societal sustainability.
Green Supply Chain Management Integrate for Environmental Sustainability in University Smart Campus
Authors: Kamarudin Nurhayati , Nizam Nurul Zarirah , Win Chong Ko
Published: April 2023

The development of green products that are environmentally beneficial and relatively less hazardous is considered in an unstable environment in order to mitigate their negative environmental consequences in green supply chain management (GSCM) towards environmental sustainability in the university campus community. The term GSCM refers to incorporating environmentally sound procedures into the existing supply chain. GSCM underlines promoting value creation throughout the supply chain in relation to campus sustainability environmental to lower overall environmental impact, rather than simply aiming to mitigate the supply chain's environmental impact in resource usage, safety, and environmental process management outcomes. While significantly reducing waste, remanufacture, and reuse is frequently the specific goal of GSCM, there are other observable benefits for campus university, such as increased asset efficiency, decreased waste production by recycle, increased innovation, lower production costs, raw material reuse, increased profitability, and customer perception of added value.
Towards Resilient Engineering Business With Five Steps
Authors: Krause Julia
Published: April 2023

This book chapter offers a holistic approach to companies in the engineering business to implement sustainability in its wide and full dimension considering different SDGs, as well as different processes, areas of activities, and partnerships within and outside of supply chains. The provided five-stage model - 5Ps - is based upon a qualitative research approach by conducting semi-structured interviews with German engineering companies and comparing sustainability reports of the 30 German DAX enterprises to identify the gaps in understanding the issue of sustainability. The 5 Ps are abbreviations for product, process, people, partnerships, and planet. The easy-to-remember and easy-to-implement model is developed by using the design thinking methodology to enable medium-sized companies to establish the right understanding of sustainable actions and make the issue of sustainability comprehensible to all employees. Through this model, created standardised procedures ensure comparability of results and sustainability reporting.
Strengthening the Dynamics of Development of Moroccan University Scientific Research
Authors: Jellouli Hajar , El Basri Mourad , Rachid Meriem
Published: April 2023

At present, the main mission of Moroccan universities is the development of scientific research and innovation by all the means at their disposal. For Sidi Mohamed Ben Abdellah University, the development of scientific research is one of the main concerns of the university. During the COVID-19 pandemic, the challenges were enormous because of the constraints imposed by the situation. However, SMBAU was called upon to maintain its leading position at the national level by improving the different indicators associated to scientific research. The authors aim in this chapter to describe, first, the general context of scientific research and innovation in Morocco. They will then present the different measures taken at the national level and at the level of SMBAU in order to support the university research and the pedagogical continuity during the pandemic. They will finally present the different results achieved at SMBAU through the data collected by the university scientific research division.
Education for Sustainable Development and the Platform Society
Authors: Shatkin Max
Published: April 2023

The chapter explores the risks of the platform society to sustainability and how education for sustainability (ESD) can address these risks. The platform society is built on a business model that depends on network effects and user productivity. It, therefore, with the help of algorithms, bots, and AI, maintains the kind of content that can stimulate user engagement. This content is often related to the polarization of society, the deepening of political conflicts, and the diffusion of biased opinions. The response of ESD can be the concept of devalorisation of society, which means the orientation of the development of society toward the reduction of the ecological costs of human and social habitation. Pedagogical approaches that can embody the concept of devalorisation in ESD include the widespread use in teaching of triple bottom line, meta-analysis of social media information, elaboration of transition scenarios between different futures, and the nurturing of ecological solidarity.
Promoting Education for Sustainable Development Using Blended Learning and Digital Tools
Authors: Mayr Helga
Published: April 2023

While online learning has become the new normal during the pandemic, experience shows the importance of face-to-face encounters with blended learning (BL) as a format that combines both. This chapter presents two interdisciplinary BL, project-based Master's courses. Both use the Sustainable Development Goals as a framework and design thinking as an approach, while one also uses digital tools beyond the digital media necessary for collaboration. After a brief introduction and consideration of the underlying concepts, the course and student reflections on their learning processes are described. The text concludes with considerations regarding the further development of the course.
The Phenomenological Models for Ultrafast Magnetization Dynamics
Authors: Tsednee Tsogbayar , Davaasambuu Jav
Published: April 2023

We study ultrafast magnetization dynamics induced by laser heating using various phenomenological temperature models. The temperature dynamics of the electrons, spins and lattice for thin foils is investigated. Numerical results for the temperature and magnetization dynamics for them are compared with those available in the literature.
Artificial Intelligence Predictions Effect of Loading Rate, Crack Width and Crack Length Ratio on Mode I Fracture Toughness of PMMA
Authors: Wiangkham Attasit , Aengchuan Prasert , Ariyarit Atthaphon
Published: April 2023

Present, artificial intelligence methods play a huge role in solving complex engineering problems such as the fracture toughness of materials, which is one of the parameters to be considered for engineering design. Fracture toughness tests can be prepared materials and test configured in a variety of ways, resulting in different fracture toughness depending on the preparation method. In this study, fracture toughness of PMMA under the effect of loading rate is one of the testing configs that can be adjusted according to the actual load characteristics of the material and the crack geometry (crack width and crack length ratio) according to crack preparation to test specimens and the effect of these factors was predicted with generalized regression neural network (GRNN) and Gaussian processes regression (GPR) models which are one of the artificial intelligence models, compared to traditional fracture toughness predictions. The results showed that artificial intelligence prediction was able to more accurately predict the effect of the factors studied on the fracture toughness of PMMA compared to the traditional fracture toughness prediction.
Tensile Strength of 3D Printing Scaffold Design Truncated Hexahedron for Tuberculosis Drug Delivery
Authors: Yuliatin Eka , Hikmawati Dyah , Aminatun Aminatun , Budiatin Aniek Setiya , Widiyanti Prihartini , Parastuti Frazna
Published: April 2023

Mechanical properties are important characteristics of scaffolds as biomaterials implant in tissue engineering. This study focused on the analysis of the tensile strength of the 3D printing scaffold with a geometric design of the truncated hexahedron unit with pore size variation and combinFive variations of pore size of the scaffold (600, 800, 1,000, 1,200, and 1,400 µm) were fabricated from Polylactide acid (PLA) filament using the Fused Deposition Modelling (FDM) method through an ordinary commercial 3D printer. The IBS paste was synthesized from hydroxyapatite (HA), gelatin, hydroxypropyl methylcellulose (HPMC), and streptomycin. The characterization performed in this study were the pore size test with a digital microscope, tensile strength, elongation test, porosity, and contact angle. The 3D printed scaffold formed micropores after injected with IBS paste from a range of 130-230 µm. The tensile test results showed that the tensile strength of the 3D printing scaffold increased after being injected with IBS paste. In addition, the elongation test also shows a positive trend with increasing values of elongation after injection of IBS paste. The contact angle test results indicated that the scaffold was hydrophilic. From those characterizations, it could be concluded that 3D printing scaffold meet the criteria of scaffold for bone tissue engineering and drug carrier for tuberculosis.
Solid Electrolyte Li1.4Al0.4Ti1.6(PO4)3 as for the Lithium-Rich Manganese-Based Cathode Material Coating Li1.2Ni0.13Co0.13Mn0.54O2
Authors: Fu Zhong Xiang , Li Wei , Wang Xiao Tao , Kong De Hao , Wu Han , Oimod Hascholu , Tegus Ojiyed , Bator Si Qin
Published: April 2023

Li1.2Ni0.13Co0.13Mn0.54O2 (L2MO) material coated with Li1.3Al0.3Ti1.7(PO4)3(LATP) was synthesized by sol-gel method. The coating amount was 0%, 0.5%, 1%, 1.5%, 2%. It is found that LATP coating improves the cycle stability of the material. After 200 cycles at 0.6 C rate, the cycle retention rate of the uncoated sample is 72.7%, while the retention rate of sample with 1% coating amount reaches 85%. LATP coating improves the rate performance of the material. The sample with 1% coating amount has the best rate performance, and the discharge specific capacity is 71.5 mAh/g at 10 C rate, while the discharge specific capacity of the sample without coating is 60.1 mAh/g. LATP coating alleviates the side reaction between the material surface and the electrolyte. As a solid electrolyte, it promotes the transmission of Li+ and reduces the charge transfer impedance of the material. The thermal stability of these materials was tested by DSC. The results show that LATP coating could improve the thermal stability of the material in charged state.
Investigation of Mhd Non-Newtonian Nanofluid Stagnation-Point Flow with Variable Transport Properties and Multislip Effects: An Application to Solar Radiation
Authors: Odetunde Christopher Bode , Obalalu Adebowale Martins , Olayemi Olalekan Adebayo , Ajala Olusegun Adebayo , Abdulraheemi Abdulrazaq , Atobatele Olayinka Ibraheem
Published: April 2023

Heat and mass transfer performance of Casson nanofluid for both non-conducting (m=0), electrically conducting (m≠0) fluids with solar radiation effects in stagnation point flow is considered. In this model, entropy, irreversibility, and multi slip impacts over a shrinking, static, and stretching sheet are investigated. To minimize the energy used in the solar system, it is important to monitor the processes of heat and mass transfer in the solar radiation process. The slips boundary conditions acts as a closure of the fluid velocity, mass, and heat transfer differential equations. The equations obtained are solved numerically via Galerkin Weighted Residual Method (GWRM). In the limiting sense, the present results conform with the existing work. The Behaviors of the flow physical quantities, temperature, concentration, and velocity for distinct values of the applicable dimensionless numbers are demonstrated with tables and graphs. The results reveal that, for a theoretical account of thermal boundary layers, Prandtl number serves as a variable. Furthermore, higher values of variable thermal conductivity have a significant influence on the skin friction coefficient than the case of constant variable thermal conductivity even when the fluid viscosity is assumed to be variable. The structure of the new method can be applied to the development of oil production.
Effect of Nickel Ions Substitution on the Magnetic and Optical Properties of a Nanosized Lithium-Iron Ferrite
Authors: Mazurenko Julia , Kaykan Larysa , Żywczak Antony , Kotsyubynsky Volodymyr , Boychuk Volodymyra , Turovska Lilia , Vakaliuk Illia
Published: April 2023

This paper reports on the successful synthesis of fine nanoparticles of nickel-substituted lithium-iron ferrites of composition Li0.5-x/2NixFe2.5-x/2O4 (0.2≤ x ≤1.0) by the sol-gel autocombustion method. It has been found that the alternating current (AC) and direct current (DC) conductivity is preferably tuned due to its dependence on temperature and nickel doping. Analysis of the Arrhenius dependences also confirms the appearance of more than one conduction mechanism upon substitution. The predominance of one type of conductivity over another depends on the concentration of the substituting element. Measurement of the magnetic properties has shown that the substitution of Ni2+ can significantly change the saturation and residual magnetization. Samples of composition Li0.4Ni0.2Fe2.4O4 have the highest saturation magnetization (84.08 emu/g), residual magnetization (15.85 emu/g), and the lowest coercive force (0.18 kOe). All the obtained results indicate a significant effect of the substitution of Ni2+ ions on the structure and properties of Li0.5-x/2NixFe2.5-x/2O4 ferrite nanoparticles.Photocatalytic properties have been obtained by the degradation of Methylene Blue dye under illumination with a halogen lamp. It is shown that an increase in the content of nickel ions leads to a change in the type of conductivity: from n-type (unsubstituted lithium pentaferrite) to p-type (with substitution x = 0.8 and higher). These systems are characterized by hopping conduction realized by octa-positions according to the mechanisms Fe3++e-↔Fe2+, and Ni3+↔Ni2++h+. The predominance of one or another mechanism depends on the content of nickel ions. The optical band gap ranges from 1.4 to 2.25 eV. Samples with nickel content x = 0.4 and x = 0.8 have shown the best degradation ability, which is 97% within 160 min for Methylene Blue.
An Excess Chemical Potential for Binary Hard-Sphere Mixtures from Integral Equation Theory
Authors: Tsednee Banzragch , Tsednee Tsogbayar , Tsookhuu Khinayat
Published: April 2023

We solve the site-site Ornstein-Zernike equation using the Percus-Yevick closure for binary hard-sphere mixture. We calculate an excess chemical potential for the mixture’s diameter ratios of 0.3, 0.5, 0.6 and 0.9, and at packing fraction of 0.49 using the analytical expression. Our numerical results are in good agreement with those in the literature.
Automation of Metallographic Sample Etching Process
Authors: Ambrož Ondřej , Čermák Jan , Jozefovič Patrik , Mikmeková Šárka
Published: April 2023

Chemical etching is an integral part of metallographic sample preparation. Maintaining precise etch times can be difficult and therefore repeatability is limited. The aim of this work is to improve the repeatability of sample preparation using robotization. Prior to etching, metallographic samples of S355J2 (1.0577) structural steel were finely mechanically polished. For verification, 15 specimens were prepared using an in-house designed automated etching machine with a built-in 5-axis robotic arm and 15 specimens prepared manually by an expert metallographer. The samples were etched with Kourbatoff no. 4 reagent for 8 seconds in a beaker placed in an ultrasonic cleaner at 80 kHz. The samples were then cleaned in 7 beakers of cleaning fluid also placed in the ultrasonic cleaner. The robotic etching and cleaning process was optimized and the quality of the resulting surface is at least as good as that of the samples prepared by an expert metallographer. The surfaces were compared using a light optical microscope (LOM) and a confocal laser scanning microscope (CLSM). The repeatability of the preparation process is a key aspect for obtaining a large dataset of steel microphotographs for training a deep neural network that will be used in future research.
Thermal Technical Requirements for Wall Materials and Analysis of Thermal Stability of Enclosing Structures under Non-Stationary Heat Flow
Authors: Egnatosyan Siranush , Badalyan Maria , Egnatosyan Naira
Published: April 2023

The article is devoted to the problem of reducing energy consumption in the production of building materials and the operation of buildings by replacing the traditional wall material with more efficient material such as lightweight concrete based on the porous filler of glass granulate (foamed glass granulate concrete) and mineral wool mats, as well as the analysis of the thermal stability of enclosing structures with non-stationary heat flow. Much attention is paid not only to the energy efficiency of systems providing microclimate but also to the efficiency of capital construction, since the development of market relations in the economy has led to a significant increase in the prices for all types of energy carriers. The right shape tuff has been applied in Armenia for the wall material, obtained by sawing mechanically from a rock mass, which in modern construction becomes ineffective, as the thermal technical requirements for building envelopes have become tougher. During the mining of the rock, huge amount of wastes have been accumulated that have valuable properties and can serve as raw materials for obtaining building materials according to energy-saving schemes because of their activity. The issue of disposal of these wastes, which are of great importance both from an economic and environmental point of view, is considered. Given that building materials, products and structures account for 50÷60% of construction costs, the choice of energy-efficient, environmentally friendly building materials will significantly reduce construction costs and lower operating costs. Clinker-free binders have been developed on the basis of cement-free concrete of cellular and conjoint structure using the inherent activity of the rock and by means of energy-saving technologies. In these article thermal technical requirements for enclosing construction in some developed countries and the classification of buildings in terms of energy saving are considered. The ways to improve the energy efficiency of buildings in Armenia are considered taking into account the duration of the heating season with the thermal resistance required ranges from 1.8 to 4.6 (m2oC) /W. In the view of the peculiarities of climatic conditions in Armenia it is not possible to limit only by indicators of thermal resistance, it is necessary to take into account the heat absorption, thermal stability and thermal inertia of materials. Based on the calculations found that in the structure of construction the lowest fluctuation in temperature takes place with mineral wool mat Aτ=0.167°C, and the largest - concrete on foam glass granulate Aτ=0.381 °C, in addition, a change in the temperature of the outside air does not immediately affect the change in temperature on the inner surface of the structures, since there is a time deviation between a concrete on foam-glass granulate which is 7.16 hours and mats on mineral wool - 8.44 hours.
How the Unfolded Protein Response Is a Boon for Tumors and a Bane for the Immune System
Authors: Raines Lydia N , Huang Stanley Ching-Cheng
Published: April 2023

The correct folding of proteins is essential for appropriate cell function and is tightly regulated within the endoplasmic reticulum (ER). Environmental challenges and cellular conditions disrupt ER homeostasis and induce ER stress, which adversely affect protein folding and activate the unfolded protein response (UPR). It is now becoming recognized that cancer cells can overcome survival challenges posed within the tumor microenvironment by activating the UPR. Furthermore, the UPR has also been found to impose detrimental effects on immune cells by inducing immunoinhibitory activity in both tumor-infiltrating innate and adaptive immune cells. This suggests that these signaling axes may be important therapeutic targets, resulting in multifaceted approaches to eradicating tumor cells. In this mini-review, we discuss the role of the UPR in driving tumor progression and modulating the immune system’s ability to target cancer cells. Additionally, we highlight some of the key unanswered questions that may steer future UPR research.
DNA aberrations in urinary bladder cancer detected by flow cytometry and fish: prognostic implications
Authors: Cianciulli AM , Bovani R , Leonardo C , Iori F , Coletta AM , Marzano R , Antenucci A , Gandolfo GM , Laurenti C
Published: April 2023

We evaluated the genetic changes in bladder cancer biopsy by fluorescence in situ hybridization (FISH) and related them to stage and grade of the tumor, ploidy (FCM) and clinical outcome, to determine a simple method to identify tumors with a poorer prognosis. Using FISH the numerical aberrations of chromosomes 1,7,9,17 in tumor’s imprints of 70 patients with transitional cell cancer (TCC) were determined. First of all, the data demonstrated that the sensitivity of FISH in detecting quantitative DNA aberrations exceeds FCM’s sensitivity. The frequency of chromosome 1 and 9 aberrations did not show significant differences in diploid and aneuploid tumors in different stage and grade. On the contrary, the chromosome 7 and 17 aneusomy showed greater differences between pT1 and pT2-3 tumors (p<0.032 and p<0.0006, respectively) than between stage pTa and pT1. In our investigation, an increasing number of aberrations was observed in all chromosomes examined in tumors of patients who afterwards underwent cystectomy and/or had recurrent tumors. These results suggest that chromosome 7 and 17 aneusomy could be predictive of adverse outcome in a subgroup of patients with superficial tumors at presentation.