Elements Of Process Research Articles

Cyclic hot corrosion behavior and mechanism of GH4738 superalloy in mixed molten salt

The research on the hot corrosion resistance of nickel-based superalloys is critical to determining and enhancing their service life. Therefore, this study investigates the cyclic hot corrosion behavior of GH4738 alloy coated with a mixed salt (75 wt% Na2SO4+25 wt% NaCl) at 750 °C and 800 °C. X-ray diffractometer (XRD), scanning electron microscope (SEM), energy dispersive spectrometer (EDS), and transmission electron microscope (TEM) are used to analyze the phase compositions and film structures of the corrosion products, as well as to explore the corrosion mechanism. The results show that a thicker oxide layer is formed at higher temperatures, indicating poorer hot corrosion resistance at elevated temperatures. The corrosion products form at both temperatures to show a distinct layered structure, the outer layer is mainly composed of Cr2O3 and a small amount of TiO2, while the inner layer consists of Al2O3, CrS, and TiS. In addition, it is found that the corrosion mechanism of O, S, and Cl elements in the corrosion process is synergistic and accompanied by alkaline melting.

Neutrinoless double beta decay in the minimal type-I seesaw model: mass-dependent nuclear matrix element, current limits and future sensitivities

In this work we discuss the neutrino mass dependent nuclear matrix element (NME) of the neutrinoless double beta decay process and derive the limit on the parameter space of the minimal Type-I seesaw model from the current available experimental data as well as the future sensitivities from the next-generation experiments. Both the explicit many-body calculations and naive extrapolations of the mass dependent NME are employed in the current work. The uncertainties of the theoretical nuclear structure models are taken into account. By combining the latest experimental data from 76Ge-based experiments, GERDA and MAJORANA, the 130Te-based experiment, CUORE and the 136Xe-based experiments, KamLAND-Zen and EXO-200, the bounds on the parameter space of the minimal Type-I seesaw model are obtained and compared with the limits from other experimental probes. Sensitivities for future experiments utilizing 76Ge-based (LEGEND-1000), 82Se-based (SuperNEMO), 130Te based (SNO+II) and 136Xe-based (nEXO), with a ten-year exposure, are also derived.

Contemporary and Conventional Passive Methods of Intensifying Convective Heat Transfer—A Review

The ever-increasing demand for effective heat dissipation and temperature control in industrial and everyday applications highlights a critical research problem. The need for development is not only in terms of providing thermal comfort to humans but also forms the basis for the efficient operation of machines and equipment. Cooling of industrial machinery and household electronic equipment is a crucial element in any manufacturing process, and the planning and design of appropriate cooling systems continues to be an integral part of the machine design and construction process. Manufacturers aim to maximize performance while minimizing size and weight. This article reviews widely used passive methods to enhance heat transfer, focusing on their effectiveness in improving convective heat transfer. The techniques examined include surface modifications and advanced materials like foamed metals and nanostructured coatings, which influence turbulence and heat transfer coefficients. The key findings demonstrate that surface roughness, perforated fins, and twisted tapes enhance fluid mixing but may increase flow resistance. The review underscores the significance of these passive methods in optimizing cooling system efficiency across various applications. Despite the variety of techniques available, many areas, especially those involving laser beam modifications, remain underexplored, indicating a need for further research in this field.

Analysis of the Use of Learning Media on the Learning Interest of Learning Science Students and Environmental Themes

Learning media is an important element in the educational process that affects the effectiveness of information delivery and student understanding. This study aims to analyze the use of science and technology learning media; analyze students' interest in learning about the use of science and technology learning media; and analyze the role of the use of learning media needed in science and science learning grade IV at Reban Elementary School, Reban District, Batang Regency. This study uses a descriptive qualitative method. The subjects of the study were 25 grade IV students at SD Negeri Reban. Data collection uses observation, interview, questionnaire and documentation techniques. This study uses a data validity technique in the form of a credibility test with technical triangulation. Through the analysis process of the Miles and Huberman Model, it was shown that the use of learning media applied in grade IV at SDN Reban included PPT, YouTube videos, Quizizz, concrete objects and media made using objects around it. The correct selection and use of media will affect students' interest in learning. Various kinds of learning media that have been applied in grade IV at SDN Reban have increased students' interest in learning. Behaviors that show student interest are feeling happy, feeling comfortable, paying attention to the teacher, being more active in learning, enthusiastic, taking notes on important things related to the material, and following lessons well and in an orderly manner. Learning media has succeeded in playing an important role in the learning process. The presence of learning media has a significant impact on learning, including making students enthusiastic; arousing students' interest; fostering motivation to learn; students become more active in learning; making it easier for students to understand the concept of the material; receive information more effectively and efficiently, overcome space and time limitations, and apply technology to students.

Bosna Hersekli Lise Öğrencilerinin Yabancı Dil Olarak Türkçe Öğrenme Sürecinde Pratik Yapma ve Kültürel İlgiye Yönelik Tutumları

The aim of this study is to analyze the attitudes of Bosnian students towards Turkish culture and language practice during the Turkish language learning process. The research examines the students' interest in Turkish, the difficulties they encounter during the language learning process, and the strategies they use to overcome these difficulties. In particular, the students' views on practicing speaking Turkish and their interest in Turkish culture are emphasized. How Bosnian students evaluate opportunities to practice while learning Turkish and to what extent they are motivated for this process. The research was conducted using a qualitative method and student opinions were collected and analyzed. Data were collected through closed-ended questions directed to the students and evaluated using the content analysis method. It was revealed that the majority of the students were interested in Turkish and Turkish culture, but some students were hesitant to practice speaking due to reasons such as the complexity of the language or lack of self-confidence. However, it was determined that practicing plays a critical role in language learning and is seen as an important opportunity for students to develop their language skills. It was emphasized that personal motivation and cultural interest are important elements in the language learning process. Keywords: Secondary school students, Turkish as a foreign language, practice and cultural interest, Bosnia and Herzegovina, attitude

Phase transformation and roasting kinetics of CIGS waste in air atmosphere

Copper indium gallium diselenide (CIGS) solar cells produce a lot of CIGS waste in the production process. TAK method was used to study the roasting kinetics of CIGS waste to separate and recovery harmful elements of environment. The oxidation of CIGS is different for different heating rates, oxides of various metal elements are formed at lower roasting rates, but InGaCuO4 is formed at higher roasting rates. The E of each oxidation process was obtained by FWO method and KAS method respectively. The E of element In at lower roasting rates are 104.43 KJ/mol and 112.17 KJ/mol. The E of Ga are 105.86 KJ/mol and 113.52 KJ/mol. The E of Cu are 134.46 KJ/mol and 141.35 KJ/mol. The E of InGaCuO4 were 33.45 KJ/mol and 45.53 KJ/mol. The model function of CIGS waste reaction was determined by Malek method analysis. The oxidation mechanism model of element In is No.39 and No.40 functions: Exponential law. The oxidation mechanism model of the element Ga is function No.37: Chemical reaction control, and the oxidation mechanism model of the element Cu is function No.9:3-D diffusion Zhuraalev-Lesokin-Tempelman. The mechanism model of CIGS waste higher roasting rates in second stage is function No.9:3-D diffusion Zhuraalev-Lesokin-Tempelman. The results show that the heating rate of roasting process obviously affects the oxidation behavior of CIGS waste, so it is of great significance to control the heating rate to oxidizes CuO, Ga2O3 and In2O3 in CIGS waste, and to improve the separation and recovery efficiency of elements in the subsequent process.

Outdoor Leisure Sports Industry Market Adaptability under the Background of Double Cyclekey Elements and Theoretical Logic

Based on the framework of rooted theory analysis,the key elements and theoretical logic of market adaptability of outdoor leisure sports industry are deeply studied.The research finds that the logic generation of market adaptability is a dynamic,continuous and systematic process,which involves the interaction and influence between structural elements, process elements and result elements. Structural elements,such as policy environment,industrial base, resource endowment and technological innovation of digital transformation,act on key elements such as process element market monitoring and positioning,marketing strategy,talent cultivation and risk management,consumer behavior analysis and service strategy, etc.To further promote the formation of outcome elements such as the expansion of market share,the improvement of customer satisfaction, the deepening of industrial integration and innovation,and the expansion of international cooperation.This "structure-process-result" three-dimensional theoretical analysis framework provides theoretical support and practical guidance for the market adaptability of outdoor leisure sports industry in terms of market positioning,resource allocation,marketing strategy,operational efficiency, market adaptation mechanism, innovation path and market performance evaluation,so as to promote the long-term and stable development of outdoor leisure sports industry.

How the COVID-19 pandemic reshaped telepsychology: Insights from an Italian survey

The coronavirus disease 2019 (COVID-19) pandemic rapidly boosted the introduction of certain changes in mental healthcare services, consequently driving up the adoption of remote care delivery options. We conducted an online Italian survey to evaluate telepsychology use, attitudes, acceptance, and training needs, as well as to understand patient-professional interactions in video-consultations, aiming to inform future mental healthcare practices and policies. The current study's survey responses were collected using an anonymous, self-reported questionnaire on the ‘REDCap’ platform from 25 October 2022 to 26 July 2023. In total, 128 mental health professionals and 113 patients completed the survey. In our sample, 69 % of patients and 79.7 % of mental health professionals reported having used telepsychology during COVID-19 pandemic; in particular, 84.6 % of patients and 95.1 % of professionals selected video-consultation modality. Data showed that participants expressed high satisfaction with this communication tool. The increase in satisfaction was directly proportional to increase in the quality of interactions and in relation to the quality of the experiences. The critical factors influencing the video-consultation experience include communication style, information completeness, patient-centredness, and the comfort underscoring the central role of the professional-patient relationship, which, substantially, remains a key element in the psychological treatment process. These findings reinforce the need for continued refinement and expansion of telepsychology services, thus highlighting the potential for integrating innovative technologies into mental health practise.

Utilizing Involuntary Unfolding Phenomena as Catalyst for Adaptive Responsiveness and Reorganization

ABSTRACT This paper explores the complex area of so-called unfolding processes and unfolding phenomena in hypnotherapy, emphasizing on unfolding movements and unfolding images, identified as complex involuntary phenomena, which emerge spontaneously without suggestions for these phenomena. Unfolding phenomena are examined as foundational elements of the unfolding process. On the one hand, the study unveils the macro-structure of the unfolding process by categorizing it into involuntary unfolding sets, phases, and unfolding subunits, all of which are analogous among patients and across different organizational levels. On the other hand, detailing the micro-structure aids in elucidating the functionality and elements of the unfolding phenomena. These elements encompass unfolding schemas and instruments. They are emphasized for their role in intrapsychic ideodynamics and responsiveness, aiding recurrent induction aligned and being promoted via an intuitive state of consciousness. Unfolding phenomena elucidate resource elicitation, and adaptation, contributing to the phenotypic organization and reorganization. In this context, the mechanisms of responsiveness, characterized by an unfolding process during hypnotherapy with distinct phases, are examined to help therapists and researchers understand how hypnotherapy can induce phenotypic changes, thereby facilitating treatment, personal growth, and the emergence of a new form of consciousness.

Data Governance Design with the DAMA-DMBOK Framework (Case Study: PT. XYZ)

In the rapidly evolving digital era, the future sustainability of organizations depends on data and information as crucial elements in every aspect of operations, from understanding customers to developing products and setting strategic directions. PT XYZ, as a company engaged in trading goods/services, recognizes that data has very important value, and becomes a basic element and strategic asset in the decision-making process at the management level. This research aimed to obtain data governance design to the company's conditions by evaluating current data management, identifying data management needs, and formulating data governance design recommendations that align with PT XYZ's needs. This involves outlining the needs and conditions through internal policies, such as strategic plans, organizational structure, job descriptions, and established management procedures within the company. In addition, this approach also identifies data problems through maturity level measurements, analysis of measurement results, and gap analysis. By considering these aspects, the gaps that exist in data management within the company can be identified. It can help formulate a data governance design that meets the company's needs and business objectives based on the Data Management Body of Knowledge (DAMA DMBOK) guidelines. Keywords: DAMA DMBOK, Data Design, Data Governance, Data Management, Maturity Levels.

Empowering or backfiring? The paradoxical effects of digital media skills on depression through (mis)information sharing on social media

This study proposed and tested a novel theoretical framework of media empowerment regarding the relationship between digital media skills and mental health as well as the complex mechanism linking the two. This study utilized an online survey of a representative sample of Shanghai residents (N = 916) to examine the interconnections among digital media skills, (mis)information sharing, and mental health. The findings revealed that the empowerment mechanisms of digital media skills on depression were contradictory at the individual and community levels. For the two dimensions of digital media skills, information skills directly reduced levels of depression but indirectly aggravated depression by promoting misinformation sharing; in contrast, social skills alleviated depression by mitigating misinformation sharing. Furthermore, risk perception positively moderated the relationship between misinformation sharing and depression. This study contributes to the media empowerment literature by empirically demonstrating a linkage between developed digital media skills and media empowerment in the aspect of mental health in the digital age. This study also innovatively highlights specific psychosocial elements of the empowerment processes from a communication perspective.

Co-creation in partnerships contributing to the sustainability of food systems: insights from 52 case studies in Europe

Institutions worldwide call for joint actions of multiple actors in partnerships to accelerate the transitions towards sustainable food systems and reach food security for everybody, allways. This requires insights into co-creating processes. Here, 52 European food system cases are analyzed. A methodology based on the game structure is used that permits standardizing data collection and extracting generic and cases-specific findings. Game building blocks correspond with key elements of co-creation processes, like defining mutually accepted objectives, engaging in types of activities, and efficient use of resources, boundary conditions, timings, and scales of operations. Results further indicate that different types of inclusive partnerships emerge, in which especially innovative private, including smallholders, and academic actors co-create value, all contributing to sustainability. The public and civil society actors emerge as important initiators, enablers, and organizers of scales of interaction, allowing generating snowball effects. Findings lead to an adapted concept for co-creating partnerships in food systems and recommendations for the European Partnership on sustainable food systems.

Shared sensemaking during a strategic change process: a non-managerial perspective

PurposeThis study offers insight into how individuals in non-managerial positions make sense of a strategic change as it unfolds. We explore the dynamic aspects of how these individuals perceive and engage with the evolving process, and how shared strategic understanding is created. The study aimed to bridge the gap between structure and action by highlighting the agency of faculty staff members, during strategic change, in a business school context.Design/methodology/approachThe study utilized a longitudinal, real-time, inductive approach based on a single explanatory case study to describe how phenomena change over time in context, focusing on faculty staff members in non-managerial positions. Qualitative data was collected in three phases involving real-time reflective diaries and observations, interviews, and documentation. A combinatory process-practice ontology, was adopted, complemented by a “temporal lens” to capture the strategic change process as it unfolded.FindingsThe authors present a temporal process model of strategic change and identify four enabling factors through which shared sensemaking was achieved during the change process. Additionally, the study explores the role of tensions and dissonance in fostering reflection and progress within the context of organizational change.Originality/valueFindings contribute to the concept of shared sensemaking, and we illustrate how a change process is enabled through the interplay of dynamic (less visible) practices and static (prescriptive) elements of a change process. We contribute towards theory development through a more comprehensive understanding of contextual dynamics and how change processes unfold and interweave, by considering process, structure, and context.

The Impact of EU Subsidies on the Competitiveness of Slovak Farms from the Perspective of Legal Form

Supporting the competitiveness of farms is one of the main priorities of the European Union’s Common Agricultural Policy. Therefore, the analysis of transfer efficiency is an important element in the policy evaluation process. The primary aim of this partial research was to evaluate the development of farms’ competitiveness in Slovakia, considering the financial support from the European Union and focusing on the legal form perspective. We assessed farm competitiveness using the Recourse Cost Ratio coefficient, which compares costs and revenues of entities in Slovakia’s agricultural sector from 2004 to 2019. The analysis revealed statistically significant differences in competitiveness among farms based on their legal forms. From these findings, it is recommended that effective farm management is crucial for enhancing competitiveness, productivity, and profitability across all farms. Despite the specifics of individual legal forms of business, it is important to clarify that it is often the skills and abilities of the management of each enterprise that contribute to better acquisition of financial resources and also strengthen the competitive position of the farm in the market.

Redesigning the capital budgeting process to support large firm growth: a case for the entrepreneurial mindset

Purpose This paper aims to argue that important elements in the capital budgeting process are either undervalued or not considered and are a significant reason for both low and slow growth in large firms. Adopting an entrepreneurial mindset in conjunction with a portfolio approach based on different types of innovation to allow for growth projects to enter the process and be evaluated for possible selection are outlined as an alternative to strengthen the capital budgeting process. Design/methodology/approach Concepts and processes drawn from the finance, economics and entrepreneurship literature are used to form a proposed new approach to the capital budgeting process. Findings Only a handful of large firms even achieve returns more than their cost of capital. This manuscript argues that the reason for the lack of growth is a function of a capital budgeting process that does not allow the full spectrum of risk projects because of behavioral factors. This manuscript further proposes a portfolio approach that would allow for all projects to be fairly considered and aligned with stakeholder interests. Originality/value The current literature tends to focus on the financial evaluative aspect of the capital budgeting process. The void in the literature is with other aspects of the capital budgeting process both in terms of currency and in pursuing alternative explanations for the reasons the full risk spectrum of projects is not considered.

Optimizing energy efficiency in MEC networks: a deep learning approach with Cybertwin-driven resource allocation

Cybertwin (CT) is an innovative network structure that digitally simulates humans and items in a virtual environment, significantly influencing Cybertwin instances more than regular VMs. Cybertwin-driven networks, combined with Mobile Edge Computing (MEC), provide practical options for transmitting IoT-enabled data. This research introduces a hybrid methodology integrating deep learning with Cybertwin-driven resource allocation to enhance energy-efficient workload offloading and resource management in MEC networks. Offloading work is essential in MEC networks since several applications require significant resources. The Cybertwin-driven approach considers user mobility, virtualization, processing power, load migrations, and resource demand as crucial elements in the decision-making process for offloading. The model optimizes job allocation between on-premises and distant execution using a task-offloading strategy to reduce the operating burden on the MEC network. The model uses a hybrid partitioning approach and a cost function to optimize resource allocation efficiently. This cost function accounts for energy consumption and service delays associated with job assignment, execution, and fulfilment. The model calculates the cost of several segmentation and offloading procedures and chooses the lowest cost to enhance energy efficiency and performance. The approach employs a deep learning architecture called “CNN-LSTM-TL” to accomplish energy-efficient task offloading, utilizing pre-trained transfer learning models. Batch normalization is used to speed up model training and improve its robustness. The model is trained and assessed using an extensive mobile edge computing public dataset. The experimental findings confirm the efficacy of the proposed methodology, indicating a 20% decrease in energy usage compared to conventional methods while achieving comparable or superior performance levels. Simulation studies emphasize the advantages of incorporating Cybertwin-driven insights into resource allocation and workload-offloading techniques. This research enhances energy-efficient and resource-aware MEC networks by incorporating Cybertwin-driven techniques.

Metabolomic and biochemical disorders reveal the toxicity of environmental microplastics and benzo[a]pyrene in the marine polychaete Hediste diversicolor

Recently, the abundance of environmental microplastics (MPs) has become a global paramount concern. Besides the danger of MPs for biota due to their tiny size, these minute particles may act as vectors of other pollutants. This study focused on evaluating the toxicity of environmentally relevant concentrations of MPs (10 and 50 mg/kg sediment) and benzo[a]pyrene (B[a]P, 1 µg/kg sediment), alone and in mixture, for 3 and 7 days in marine polychaete Hediste diversicolor, selected as a benthic bioindicator model. The exposure period was sufficient to confirm the bioaccumulation of both contaminants in seaworms, as well as the potential capacity of plastic particles to adsorb and vehiculate the B[a]P. Interestingly, increase of acidic mucus production was observed in seaworm tissues, indicative of a defense response. The activation of oxidative system pathways was demonstrated as a strategy to prevent lipid peroxidation. Furthermore, the comprehensive Nuclear Magnetic Resonance (NMR)-based metabolomics revealed significant disorders in amino acids metabolism, osmoregulatory process, energetic components, and oxidative stress related elements. Overall, these findings proved the possible synergic harmful effect of MPs and B[a]P even in small concentrations, which increases the concern about their long-term presence in marine ecosystems, and consequently their transfer and repercussions on marine fauna.

Enabling social approaches for contextualised learning at primary schools

Through a project undertaken under a programme funded by United Kingdom Research and Innovation (UKRI) called Transforming Education for Sustainable Futures (TESF), alternative learning approaches associated with the introduction of a form of vertical farming called ‘tower gardens’ at primary schools were explored. Methods that were new to the local education context were used to support the learning process, for example role-playing sketches that allowed learners to share their own knowledge about gardening activities with their peers, teachers and staff from the non-governmental organisation that facilitated the process. This collective sharing and recall were key elements of the social learning process, building into individual and group knowledge. Corroborated memory recall contributed to group learning and also built into the collective storage of knowledge. Learning was firmly embedded in social interaction, in collective symbolism and arts – music specifically. These forms of learning and storing of knowledge resonated with the learners as it was a continuation of life as they know it in their community. It became clear from the project that educators saw the value of introducing concepts from classroom subjects when constructing and managing the tower gardens and were pleasantly surprised by the responses of the learners to this new way of learning, suggesting that creating scope within the curriculum and schoolwork plan is necessary in tandem with building the required capacity to replicate this without external support.

Rethinking Informed Consent as an EPA in Surgery.

Over the past decade, entrustable professional activities (EPAs) have become an important element in the competency-based medical education movement. In this Commentary, the authors explore informed consent as an EPA within resident surgical training. In doing so, they foreground the concept of culture and reexamine the nature of trust and entrustment decisions from within a cultural framework. The authors identify role modeling and professional identity formation as core elements in the training process and suggest that faculty are sometimes better off using these tools than uncritically adopting a formal EPA framework for what is, in essence, a professionally oriented and values-based moral enterprise. They conclude that EPAs work best when they are developed at a local level, stressing the unique culture of specialty and program as well as the care that must be taken when attempting to transfer notions of entrustment from the undergraduate medical education level to graduate medical education settings.

Discovery of a Barium Blue Straggler Star in M67 and “Sighting” of Its White Dwarf Companion* * This is paper XV of the UVIT Open Cluster Study (UOCS).

We report the discovery of a barium blue straggler star (BSS) in M67, exhibiting enhancements in slow neutron-capture (s-)process elements. Spectroscopic analysis of two BSSs (WOCS 9005 & WOCS 1020) and four stars located near the main-sequence turn-off using GALAH spectra, showed that WOCS 9005 has a significantly high abundance of the s-process elements ([Ba/Fe] = 0.75 ± 0.08, [Y/Fe] = 1.09 ± 0.07, and [La/Fe] = 0.65 ± 0.06). The BSS (WOCS 9005) is a spectroscopic binary with a known period, eccentricity, and a suspected white dwarf (WD) companion with a kinematic mass of 0.5 M ⊙. The first “sighting” of the WD in this barium BSS is achieved through multiwavelength spectral energy distribution (SED) with the crucial far-UV data from the UVIT/AstroSat. The parameters of the hot and cool companions are derived using binary fits of the SED using two combinations of models, yielding a WD with T eff in the range 9750–15,250 K. Considering the kinematic mass limit, the cooling age of the WD is estimated as ∼60 Myr. The observed enhancements are attributed to a mass transfer (MT) from a companion asymptotic giant branch star, now a WD. We estimate the accreted mass to be 0.15 M ⊙, through wind accretion, which increased the envelope mass from 0.45 M ⊙. The detection of chemical enhancement, as well as the sighting of WD in this system, have been possible due to the recent MT in this binary, as suggested by the young WD.