Aspects Of Process Research Articles

A REPORT ON RECRUITMENT AND SELECTION PROCESS OF ACCENTURE”

This report provides an in-depth analysis of the recruitment and selection process at Accenture, a leading global professional services company. Accenture's recruitment strategy is characterized by its emphasis on talent acquisition, diversity, and innovation. The selection process involves multiple stages, including application screening, assessments, interviews, and background checks, designed to identify candidates who align with Accenture's values and culture. The report highlights the use of technology and data analytics in optimizing recruitment outcomes and enhancing candidate experience. Additionally, it explores Accenture's commitment to diversity and inclusion, reflected in its efforts to attract candidates from diverse backgrounds and promote equal opportunities. By examining the various aspects of Accenture's recruitment and selection process, this report aims to offer insights into best practices and strategies for talent acquisition in the professional services industry. Keywords:.Accenture, Recruitment, Selection Process ,. Diversity,Talent Acquisition,Innovation

Status and future developments for downstream processing of biological products: Perspectives from the Recovery XIX yield roundtable discussions.

Governments and biopharmaceutical organizations aggressively leveraged expeditious communication capabilities, decision models, and global strategies to make a COVID-19 vaccine happen within a period of 12 months. This was an unusual effort and cannot be transferred to normal times. However, this focus on a single vaccine has also led to other treatments and drug developments being sidelined. Society expects the pharmaceutical industry to provide an uninterrupted supply of medicines. However, it is often overlooked how complex the manufacture of these compounds is and what logistics are required, not to mention the time needed to develop new drugs. The overarching theme, therefore, is patient access and how we can help ensure access and extend it to low- and middle-income countries. Despite unceasing efforts to make medications available to all patient populations, this must never be done at the expense of patient safety. A major fraction of the costs in biopharmaceutical manufacturing are for drug discovery, process development, and clinical studies. Infrastructure costs are very difficult to quantify because they often depend on whether a greenfield facility or an existing, depreciated facility is used or adapted for a new product. To accelerate process development concepts of platform process and prior knowledge are increasingly leveraged. While more traditional protein therapeutics continue to dominate the field, we are also experiencing the exciting emergence and evolution of other therapeutic formats (bispecifics, tetravalent mAbs, antibody-drug conjugates, enzymes, peptides, etc.) that offer unique treatment options for patients. Protein modalities are still dominant, but new modalities are being developed that can be learned from including advanced therapeutics-like cell and gene therapies. The industry must develop a model-based strategy for process development and technologies such as continuous integrated biomanufacturing must be adopted. The overall conclusion is that the pandemic pace was unsustainable, focused on vaccine delivery at the expense of other modalities/disease targets, and had implications for professional and personal life (work-life balance). Routinely reducing development time from 10 years to 1 year is nearly impossible to achieve. Environmental aspects of sustainable downstream processing are also described.

Reframing Teacher Education Through International Collaboration

This paper focuses on a multi-method study that investigates students’ attitudes and preferences toward project-based collaboration in diverse international contexts. The courses under scrutiny were developed and taught as part of an international blended learning collaboration in teacher education between Dr. Ambedkar University (AUD) in India and Ludwigsburg University of Education (LUE) in Germany. The primary focus of this paper is to analyze and discuss students’ experiences in international project-based environments, with a particular emphasis on the theme of diversity in teacher education. The discussed study employs a multi-method research design that incorporates qualitative interviews and various written feedback forms to gather data on different aspects of the collaborative processes. The findings of this study have the potential to develop future practices and enhance projectbased learning scenarios within higher education. The insights gained from this research can inform pedagogical approaches, and intercultural exchange, ultimately enriching the internationalization efforts within higher education institutions.

Sensational Dreams: The Prevalence of Sensory Experiences in Dreaming

Dreaming, a widely researched aspect of sleep, often mirrors waking-life experiences. Despite the prevalence of sensory perception during wakefulness, sensory experiences in dreams remain relatively unexplored. Free recall dream reports, where individuals describe their dreams freely, may not fully capture sensory dream experiences. In this study, we developed a dream diary with direct questions about sensory dream experiences. Participants reported sensory experiences in their dreams upon awakening, over multiple days, in a home-based setting (n = 3476 diaries). Our findings show that vision was the most common sensory dream experience, followed by audition and touch. Olfaction and gustation were reported at equally low rates. Multisensory dreams were far more prevalent than unisensory dreams. Additionally, the prevalence of sensory dream experiences varied across emotionally positive and negative dreams. A positive relationship was found between on the one hand sensory richness and, on the other emotional intensity of dreams and clarity of dream recall, for both positive and negative dreams. These results underscore the variety of dream experiences and suggest a link between sensory richness, emotional content and dream recall clarity. Systematic registration of sensory dream experiences offers valuable insights into dream manifestation, aiding the understanding of sleep-related memory consolidation and other aspects of sleep-related information processing.

Process Simulation of Twin-Screw Granulation: A Review

Twin-screw granulation has emerged as a key process in powder processing industries and in the pharmaceutical sector to produce granules with controlled properties. This comprehensive review provides an overview of the simulation techniques and approaches that have been employed in the study of twin-screw granulation processes. This review discusses the major aspects of the twin-screw granulation process which include the fundamental principles of twin-screw granulation, equipment design, process parameters, and simulation methodologies. It highlights the importance of operating conditions and formulation designs in powder flow dynamics, mixing behaviour, and particle interactions within the twin-screw granulator for enhancing product quality and process efficiency. Simulation techniques such as the population balance model (PBM), computational fluid dynamics (CFD), the discrete element method (DEM), process modelling software (PMS), and other coupled techniques are critically discussed with a focus on simulating twin-screw granulation processes. This paper examines the challenges and limitations associated with each simulation approach and provides insights into future research directions. Overall, this article serves as a valuable resource for researchers who intend to develop their understanding of twin-screw granulation and provides insights into the various techniques and approaches available for simulating the twin-screw granulation process.

Temporal Course of Interference Control from Early to Late Young Adulthood: An ERP Study

In the present study, we aimed to investigate the neural dynamics of interference control using event-related potentials (ERPs) to reveal time course of interference control from the beginning to the end of young adulthood. Three groups of participants aged 19–21, 23–27 and 28–44 performed a Stroop task. The results revealed age differences in both accuracy and ERP amplitudes during all aspects of interreference control processing that reflect selective attention (P2), conflict monitoring (N2), conflict evaluation (P3) and interference control (N450). Both younger groups made more errors on incongruent trials compared to participants in their early 30s. The presence of higher P2 and N2 amplitudes, diminished P3 and again higher N450 amplitudes in participants in their early 20s points to a shortage of available resources for top-down control at this age. These results are in accordance with structural and functional studies that show that development of the frontoparietal network, which underlies interference control, continues after adolescence. While brain mechanisms are still developing, the use of accompanying cognitive abilities is still not optimal. The findings that change in neural dynamics and related performance continues into early adulthood challenge current models of cognitive development and call for new directions in developmental theorizing.

Understanding Graphic Design Process in Visual Communication

From a chocolate wrapper design to a huge advertising hoarding, graphic design play a significant role in our daily life, which takes into consideration three important aspect of acceptance of a design - an aesthetic appeal, functional and semiotic approach. Graphic design encompasses the diverse set of design solution in visual form -from designing a logo, poster, signage to advertising design, web based design and many more that utilizes various visual elements, combining art and technology to communicate a message visually. Since it a coherent creative process of visual communication, the content of communication need to be streamed between the clients and the end user that takes into consideration certain aspect of structural stages or design process in order to get the best service and design solution to a problem. The paper highlights on the structure of the design process involve in a graphic design in bringing about a solution to a design problem within the practice of visual communication.

Current state of in situ gene expression studiesin animal tissues

Morphological studies of farm animals are most often conducted using simple preparation and staining techniques. The study of the processes of embryogenesis, postembryonic features of the development of organs and tissues, as well as the effect of various substances remains to be elucidated not only using histochemical and immunohistochemical staining methods, but also using RNA in situ hybridization and transcriptome in situ sequencing. Aspects of many cellular and tissue processes for cattle, pigs and chickens in the context of comparative physiology have not yet been studied. The high productivity of farm animals is associated with the intensive functioning of all organs and systems of the body. The influence of the agricultural management of farm animals and its consequences on the development of an organism in ontogeny deserve a separate area of research from the point of in situ gene expression. Despite rapid development of transcriptome sequencing technologies, which result in the discovery of new candidate genes for many processes, RNA in situ hybridization remains the gold standard for their validation. This review briefly presents modern techniques and their modifications for studying in situ gene expression. Transcriptome studies that have been implemented in cattle, pigs and chickens as model organisms include: in situ RNA hybridization using ZZ-probes, tyramide signal amplification, hybridization chain reaction, digoxigenin-labeled probes, RT-PCR, single cell transcriptome sequencing, in situ transciptome sequencing. This paper is a review of the results of studies on cattle, pigs and chickens. The results of research in this area are relevant for understanding the features of adaptation mechanisms at the transcriptomic level in highly productive animals under industrial conditions in order to search for new markers of valuable agricultural traits. It should be noted that in literature there are very few studies using RNA in situ hybridization, despite the availability and simplicity of the method.

Extraction of Corn Plant Phenotypic Parameters with Keypoint Detection and Stereo Images

Corn is a global crop that requires the breeding of superior varieties. A crucial aspect of the breeding process is the accurate extraction of phenotypic parameters from corn plants. The existing challenges in phenotypic parameter extraction include low precision, excessive manual involvement, prolonged processing time, and equipment complexity. This study addresses these challenges by opting for binocular cameras as the data acquisition equipment. The proposed stereo corn phenotype extraction algorithm (SCPE) leverages binocular images for phenotypic parameter extraction. The SCPE consists of two modules: the YOLOv7-SlimPose model and the phenotypic parameter extraction module. The YOLOv7-SlimPose model was developed by optimizing the neck component, refining the loss function, and pruning the model based on YOLOv7-Pose. This model can better detect bounding boxes and keypoints with fewer parameters. The phenotypic parameter extraction module can construct the skeleton of the corn plant and extract phenotypic parameters based on the coordinates of the keypoints detected. The results showed the effectiveness of the approach, with the YOLOv7-SlimPose model achieving a keypoint mean average precision (mAP) of 96.8% with 65.1 million parameters and a speed of 0.09 s/item. The phenotypic parameter extraction module processed one corn plant in approximately 0.2 s, resulting in a total time cost of 0.38 s for the entire SCPE algorithm to construct the skeleton and extract the phenotypic parameters. The SCPE algorithm is economical and effective for extracting phenotypic parameters from corn plants, and the skeleton of corn plants can be constructed to evaluate the growth of corn as a reference. This proposal can also serve as a valuable reference for similar functions in other crops such as sorghum, rice, and wheat.

Predicting the PSQA results of volumetric modulated arc therapy based on dosiomics features: a multi-center study

Backgroud and objectivesThe implementation of patient-specific quality assurance (PSQA) has become a crucial aspect of the radiation therapy process. Machine learning models have demonstrated their potential as virtual QA tools, accurately predicting the gamma passing rate (GPR) of volumetric modulated arc therapy (VMAT)plans, thereby ensuring safe and efficient treatment for patients. However, there is limited multi-center research dedicated to predicting the GPR. In this study, a dosiomics-based machine learning approach was employed to construct a prediction model for classifying GPR in multiple radiotherapy institutions. Additionally, the model’s performance was compared by evaluating the impact of two distinct feature selection methods.MethodsA retrospective data collection was conducted on 572 VMAT patients across three radiotherapy institutions. Utilizing a three-dimensional dose verification technique grounded in real-time measurements, γ analysis was conducted according to the criteria of 3%/2 mm and 2%/2 mm, employing a dose threshold of 10% along with absolute dose and global normalization mode. Dosiomics features were extracted from the dose files, and distinct subsets of features were selected as inputs for the model using the random forest (RF) and RF combined with SHapley Additive exPlanations (SHAP) methods. The data underwent training using the extreme gradient boosting (XGBoost) algorithm, and the model’s classification performance was assessed through F1-score and area under the curve (AUC) values.ResultsThe model exhibited optimal performance under the 3%/2 mm criteria, utilizing a subset of 20 features and attaining an AUC value of 0.88 and an F1-score of 0.89. Similarly, under the 2%/2 mm criteria, the model demonstrated superior performance with a subset of 10 features, resulting in an AUC value of 0.91 and an F1-score of 0.89. The feature selection methods of RF and RF + SHAP have achieved good model performance by selecting as few features as possible.ConclusionBased on the multi-center PSQA results, it is possible to utilize dosiomics features extracted from dose files to construct a machine learning predictive model. This model demonstrates excellent discriminative abilities, thus promoting the progress of gamma passing rate prognostic models in clinical application and implementation. Furthermore, it holds potential in providing patients with secure and efficient personalized QA management, while also reducing the workload of medical physicists.

Collective signalling is shaped by feedbacks between signaller variation, receiver perception and acoustic environment in a simulated communication network.

Communication takes place within a network of multiple signallers and receivers. Social network analysis provides tools to quantify how an individual's social positioning affects group dynamics and the subsequent biological consequences. However, network analysis is rarely applied to animal communication, likely due to the logistical difficulties of monitoring natural communication networks. We generated a simulated communication network to investigate how variation in individual communication behaviours generates network effects, and how this communication network's structure feeds back to affect future signalling interactions. We simulated competitive acoustic signalling interactions among chorusing individuals and varied several parameters related to communication and chorus size to examine their effects on calling output and social connections. Larger choruses had higher noise levels, and this reduced network density and altered the relationships between individual traits and communication network position. Hearing sensitivity interacted with chorus size to affect both individuals' positions in the network and the acoustic output of the chorus. Physical proximity to competitors influenced signalling, but a distinctive communication network structure emerged when signal active space was limited. Our model raises novel predictions about communication networks that could be tested experimentally and identifies aspects of information processing in complex environments that remain to be investigated. This article is part of the theme issue 'The power of sound: unravelling how acoustic communication shapes group dynamics'.

MASMDDI: multi-layer adaptive soft-mask graph neural network for drug-drug interaction prediction

Accurately predicting Drug-Drug Interaction (DDI) is a critical and challenging aspect of the drug discovery process, particularly in preventing adverse reactions in patients undergoing combination therapy. However, current DDI prediction methods often overlook the interaction information between chemical substructures of drugs, focusing solely on the interaction information between drugs and failing to capture sufficient chemical substructure details. To address this limitation, we introduce a novel DDI prediction method: Multi-layer Adaptive Soft Mask Graph Neural Network (MASMDDI). Specifically, we first design a multi-layer adaptive soft mask graph neural network to extract substructures from molecular graphs. Second, we employ an attention mechanism to mine substructure feature information and update latent features. In this process, to optimize the final feature representation, we decompose drug-drug interactions into pairwise interaction correlations between the core substructures of each drug. Third, we use these features to predict the interaction probabilities of DDI tuples and evaluate the model using real-world datasets. Experimental results demonstrate that the proposed model outperforms state-of-the-art methods in DDI prediction. Furthermore, MASMDDI exhibits excellent performance in predicting DDIs of unknown drugs in two tasks that are more aligned with real-world scenarios. In particular, in the transductive scenario using the DrugBank dataset, the ACC and AUROC and AUPRC scores of MASMDDI are 0.9596, 0.9903, and 0.9894, which are 2% higher than the best performing baseline.

УДОСКОНАЛЕННЯ КОНЦЕПТУАЛЬНИХ ЗАСАД ЄВРОІНТЕГРАЦІЇ ТА ФІНАНСОВО-ПРАВОВІ МЕХАНІЗМИ ПРИСКОРЕННЯ ВСТУПУ УКРАЇНИ В ЄС

Introduction. Since 2022, Ukraine has been following the path of “classical accession” to the EU, which involves the compliance with the Copenhagen criteria and adoption of the common EU legislation (acquis) in 33 policy areas/ chapters. But advancement withing this scenario is a long and resource-intensive process. Problem Statement. The urgent task is to find an optimal model of joining the EU with coherence to a reasonable time frame of this course, achieving high results of European integration and identification of the sources of funding for carrying out reforms and overcoming the consequences of the war after reducing the potential of the Ukraine Facility. Purpose - identification of the current financial and legal problems of the European integration process for Ukraine, generalization of the methodological pillars of the concept of staged accession to the EU as a more progressive version over the classic accession model, design of the policy proposals for updating monitoring tools and financial incentives for progressing across the subsequent stages towards the EU membership. Methods. General scientific and special methods are applied: reviews of theoretical sources, advisory and research papers, analysis of statistical data and legal documents, historical method, logical method, methods of comparison and synthesis. Results. The article summarizes the methodological pillars of the concept of staged accession to the EU, systematizes the legal mechanisms of negotiations and obtaining EU membership, shows the financial aspects of the European integration process, including access to the EU cohesion funds, and elaborates practically important proposals for the activity of the EU institutions and national bodies as to the operationalization of the model of staged accession. Conclusions. The staged accession model is the most holistic and logically structured concept that can evolve a predictable progress towards the EU membership. The model should be based on the European Commission's quantitative assessments of countries' preparedness for the membership within the framework of negotiating clusters and chapters. A system of performance indicators is also required that will record progress of the candidate countries across stages and will set the ground for disbursements from the EU funds in line with specified ratios. Since 2028, the new EU medium-term fiscal framework should provide for the formation of new funds to finance the recovery of Ukraine's economy and the application of the EU's cohesion policy towards Ukraine.

РИЗИКИ ЯКОСТІ АУДИТОРСЬКИХ ПОСЛУГ

Introduction. Today, more than a million subjects of economic activity in the world are certified according to the ISO 9001 standard - quality management system. The quality management system (QMS) is an integral part of management that follows both market norms and business rules. The practice of implementing QMS, along with the optimistic results of quality improvements, reveals the debatable aspects of such processes. Problem Statement. The International Quality Management Standards application (which is one of the main audit reform directions in Ukraine) is today complicated both by the active pace of the mentioned processes (insufficient time for the unification of quality policies and procedures) and the difficulty of international regulatory practical application policies and procedures regarding audit quality. Subjects quite often postpone their orders for conducting a mandatory audit during the period of martial law, which leads to the emergence of quality control risks. Purpose – coverage of modern trends in the audit quality risks identification and assessment, justification for an audit firm of an alternative internal quality management system as an integral operational management component, that will enable the systematic approach formation to conduct a competitive audit. Methods. General scientific and special methods are used: analysis, synthesis, grouping, description, comparison, theoretical generalization and abstract-logical. Results. The complex nature of quality risks in modern audit conditions, their impact on the validity, reliability and persuasiveness of the auditor's opinion is revealed. The quality risk is investigated based on a comprehensive risk assessment in terms of the audit company's “quality management system” components. Common errors of auditing companies in the quality management system organization, the significance of their impact on compliance with norms and goals of audit quality are given. Based on the conceptual rules and principles of the International Quality Management Standards, alternative components of the “Quality Management System” for the audit company, their structural and logical connections with the identification of the functional role are proposed. Based on the international practice of risk-oriented management, methodical approaches to the identification and risk assessment are proposed, alternatives for internal regulation and specified processes documentation are revealed. Conclusions. The quality management system does not have a simple cycle, its effectiveness lies in systemic regulatory and internal management development. The internal audit of the QMS cannot fulfill its function by declarative decisions only. Due to the established communication with the auditors, interest in the demand for his role, the person responsible for the company's QMS should raise his competence' level, work with quality risks “in advance”. Issues of audit quality risk management highlighted in the article are quite new and require the methodological and practical principles formation of regulation and conceptually unified mechanisms for the implementation of such processes by audit companies.

High-selectivity CO2-to-CH4 electrochemical reduction on copper trimer: A theoretical insight

The pursuit of enhanced catalysts represents a pivotal yet challenging undertaking in the realm of CO2 reduction to CH4 powered by renewable electricity. The development of high-performance catalysts has been constrained by the scaling between *CO and *CHO, coupled with inadequate selectivity. Here, we report a design strategy that addresses the limitation by formulating Cu trimer-anchored MXene-based catalysts using density functional theory studies. This advancement was achieved by enhancing the selectivity of *OCHO via constructing oxyphilic sites, introducing a hydrogen bond promoter for *HCOOH deep reduction, and a multi-site synergy strategy for stabilizing complex intermediates (e.g., *H2COOH), and therefore reshaping the linear relationship between adsorbates. Consequently, a novel volcano model was constructed using the adsorption free energy of *OCHO as an activity descriptor. Based on the microkinetic analysis, it is predicted that a high current density could potentially be achieved on Cu3@V2NO2 at an applied potential of −1.10 V vs. reversible hydrogen electrode. This study proposes new catalyst design approaches for CO2 conversion, accompanied by a thorough exploration of the thermodynamic and kinetic aspects of the reduction process.

Inkjet Printing Optimization: Toward Realization of High‐Resolution Printed Electronics

AbstractThe printed electronics (PEs) market has witnessed substantial growth, reaching a valuation of USD 10.47 billion in the previous year. Driven by its extensive use in a multitude of applications, this growth trend is expected to continue with a projected compound annual growth rate of 22.3% from 2022 to 2032. Compared to screen printing, the adoption of inkjet printing (IJP) technology to manufacture PEs has been limited to laboratory‐scale research only. The fact that IJP's inability to maintain consistent high‐resolution quality over large printing areas has made transitioning IJP for commercial production arduous. Most of the previous literatures have focused on holistic discussion on material design for IJP, but this review provides insight into key aspects in material processing up to printing optimization to realize high‐resolution PEs. This review also highlights the challenges in controlling the functional ink properties and their interaction with the substrate as well as printing parameters to deliver the desired quality of the droplets and final prints. Imminent application of IJP in PEs and future perspectives are also included in this review.

A Study on Powder Spreading Quality in Powder Bed Fusion Processes Using Discrete Element Method Simulation

Powder deposition is a very important aspect of PBF-based additive manufacturing processes. Discrete Element Method (DEM) is commonly utilized by researchers to examine the physically complex aspects of powder-spreading methods. This work focuses on vibration-assisted doctor blade powder recoating. The aim of this work is to use experiment-verified DEM simulations in combination with Taguchi Design of Experiments (DoE) to identify optimum spreading parameters based on robust layer quality criteria. The verification of the used powder model is performed via angle of repose and angle of avalanche simulation–experiment cross-checking. Then, four criteria, namely layer thickness deviation, surface coverage ratio, surface root-mean-square roughness and true packing density, are defined. It has been proven that the doctor blade’s translational speed plays the most important role in defining the quality of the deposited layer. The true packing density was found to be unaffected by the spreading parameters. The vertical vibration of the doctor blade recoater was found to have a beneficial effect on the quality of the deposited layer. Ultimately, a weighted mean quality criteria analysis is mapped out. Skewness and kurtosis were proven to function as effective indicators of layer quality, showing a linear relation to the weighted means of the defined quality criteria. The specific weights that optimize this linearity were identified.

Moving between positions: a qualitative study of mentoring relationships in chronic eating disorders

PurposeEating disorders (ED) are chronic and challenging-to-treat conditions, often persisting over extended periods. Some patients with EDs require prolonged intensive rehabilitation services, which may include weekly home visits by paraprofessional mentors serving as support persons, providing guidelines, emotional care, and assistance. This study aims to enhance our understanding of the nature of the relationship formed between mentors and patients with EDs.Design & MethodsFifteen in-depth qualitative interviews were conducted with patients and paraprofessional mentors. Interviews were analyzed using a descriptive phenomenological approach by two researchers to enhance reliability.FindingsQualitative analysis highlighted that mentors play a crucial role in patients’ rehabilitation. Mentors adapt two positions (investigative and embracing) to address the encountered difficulties, including conflicts, tension, and confusion associated with (in)equality and reciprocity in the mentoring relationship.Practice ImplicationsParaprofessional mentors can assist people with ED in their rehabilitation process. To support patients with EDs effectively, it is crucial to train and supervise the mentors in navigating between roles and dealing with boundaries, secrets, lies, and exposure to various aspects of the rehabilitation process. Additionally, we recommend further research using quantitative and empirical tools to complement the qualitative findings presented.

Exploring Legal Dynamics in Contemporary Migration with a Focus on Refugee and Migrant Rights

The phenomenon of migration poses a pressing quandary within the context of the global legal framework, heightened by persistent political instability and the repercussions of climate change. These factors compel a significant populace to seek alternative habitats, where they encounter varying degrees of success in the process of societal integration. The purpose of the article was to explore the legal aspects of migration processes in the modern world viewed through the lens of delineating the rights of refugees and migrants. With the use of rigorous scientific methods such as content analysis and comparison, this study elucidated the fundamental aspects of the migration dilemma. It demonstrated that the development of sound migration policies is of paramount importance in navigating this complex terrain. While initial international resolutions made general declarations, contemporary conventions provide detailed frameworks that, alongside national laws, establish the foundation for the assimilation of non-citizens into host societies. It was demonstrated that the increase in the number of migrants and displaced persons has led to a more detailed legal framework. While the initial international resolutions, such as those from the United Nations, primarily took a declarative stance, contemporary conventions exhibit a significantly more detailed approach. In conjunction with the legal norms of individual nations, these modern frameworks establish the foundation for the assimilation of recently arrived non-citizens into their host society. The results pointed out that this process took place according to the scheme of considering international standards and conventions on the migrants' and refugees' rights protection, which become the basis for the development of relevant provisions of national legislation. Consequently, in order to address migration comprehensively, the findings underscored the need to promote inter-state legal cooperation. The global community can progress towards achieving a fairer and more sustainable resolution of migration challenges by embracing a framework centered on inter-state legal cooperation. In addition to highlighting the current state of the law, the study argued for the development of innovative solutions to address the complexity of migration in the interconnected world.

Enhancing Surface Integrity and Quality through Roller Burnishing: A Comprehensive Review of Parameters Optimization, and Applications.

Surface integrity is a critical aspect in ensuring the quality of components or products, particularly in industries such as automotive, aerospace, and machinery where superior surface finish and prolonged functionality of cylindrical parts are essential. Burnishing, a chip-less cold working finishing process, enhances the surface finish of machined workpieces through plastic deformation. This review paper delves into various aspects of the burnishing process and its impact on surface properties, drawing insights from multiple research projects. It explores topics including residual stresses, surface roughness, microhardness, cooling strategies, and modeling techniques. Key findings underscore the influence of burnishing parameters such as speed, feed rate, penetration depth, and number of passes on surface roughness and microhardness. Moreover, the process induces compressive residual strains on the workpiece surface, with their magnitude varying based on operational parameters. The choice of cooling methods, including kerosene, minimum quantity lubrication (MQL), cryogenic cooling, and hybrid cooling, significantly affects surface integrity. Various modeling approaches, such as Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Response Surface Methodology (RSM), aid in predicting and optimizing surface characteristics. Despite the extensive discussion on surface roughness, microhardness, residual stresses, cooling methods, and modeling, out-of-roundness in the burnishing process remains understudied and warrants further investigation. This review contributes valuable insights for enhancing surface qualities in manufacturing applications and deepening our understanding of the burnishing process.