Research Tool Research Articles

New approach methods on the bench side to accelerate clinical trials during pregnancy.

Pregnant women are therapeutic orphans as they are excluded from clinical drug development and therapeutic trials. We identify limitations in conducting clinical trials and propose two 'New Approach Methods'(NAMs) to overcome them. NAMs have proven invaluable tools in basic and clinical research to understand human health and disease better, elucidate mechanisms, and study the efficacy and toxicity of therapeutics that have not been possible through animal-based methodologies. The lack of humanized experimental models of FMi and drugs that can safely and effectively cross FMi to reduce the risk of adverse pregnancy has hindered progress in the field of reproductive pharmacology. This report discusses two technological advancements in perinatal research and medicine to accelerate clinical trials during pregnancy. (1) We have developed a humanized microphysiologic system, an Organ-on-a-chip (OOC) platform, to study FMi and their utility in pharmacological studies, and (2) use of extracellular vesicles (EVs) as drug delivery vehicles that are immunologically inert and can cross the fetomaternal barriers. We provide an overview of NAMs that can accelerate preclinical trials and develop drugs to cross the feto-maternal barriers to reduce the risk of adverse pregnancy outcomes like preterm birth.

Alliance or Association? Exploring the Effect of Work–Family Balance on Workplace Well-being, and the Mediating Effect of Work Attitudes

Organizations have come to realize the significance of workplace well-being (WWB) for their existence and progression. This article substantiates the association of work–family balance (WFB) with WWB, while job satisfaction (JS), work engagement (WE) and turnover intent (TI) were studied as mediators to this primal association. The data was obtained in two phases, wherein at the end of the second phase, the authors gathered responses from 346 full-time employees, using a structured research tool. The study adopted a mediated structural equation model to examine the theoretical construct and its hypothesised relationships. The findings supported the hypothesized positive association between WFB and WWB, and a direct relationship of these focal variables was more magnified and pronounced than when mediated. The study revealed a significant mediation effect of work attitudes that is, JS and WE on the outcome variable: WWB; though, counterintuitively, turnover intent remained passive. Our research emphasizes the need to foster work– family culture for creating workplace happiness. The study further accentuates the body of knowledge that the association between these two focal variables also aids in making an immersive and engaged employee.

Thermogravimetry as a research tool for the development of an ammonium sulphate roasting process for selective metal extraction from minerals

AbstractThe ammonium sulphate roasting process involves reacting mineral-bearing materials with ammonium sulphate via a solid–solid roasting process and subjecting the resulting roast residue to aqueous leaching. This process enables the simultaneous, non-selective co-extraction of strategic metals from the starting materials. However, effective separation of the extracted metals is often mandatory to produce quality products of high purity. In this study, the combined application of thermogravimetric analysis, X-ray powder diffraction and inductively coupled plasma optical emission spectrometry confirmed the non-selectivity of the process when applied to a South African diamond mine residue residue roasted with ammonium sulphate in a 1:2 mass ratio (m/m) at 450 °C for 2 h, with magnesium, iron and aluminium being co-extracted into water-soluble metal sulphates. Thermogravimetry was then applied to develop a multi-step, multi-temperature selective roasting process using mixtures of pure commercial metal sulphate salts. The first step of the modified process successfully separated iron and aluminium sulphates from magnesium-sulphates in the roast residues by thermally decomposing soluble iron and aluminium sulphates into insoluble oxides via calcination at 750 °C for 2 h. This temperature was lower than the one at which magnesium sulphates convert into magnesium oxide. In the second and final step, iron and aluminium were recovered from the oxide minerals via solid–solid re-roasting with ammonium sulphate at 450 °C for 1 h, causing the oxides to revert back to their water-soluble sulphate forms. The effectiveness of the modified process was subsequently verified using a diamond mine residue, showing that the soluble iron and aluminium contents in the magnesium-bearing leachate could be reduced by over 90%.

Enhancing workplace spirituality for higher education academicians through human resource practices

PurposeThis study investigates how human resource training and development (HRTD) shapes workplace spirituality in higher education. It delves into key factors impacting spirituality among academics, such as colleague support and e-learning initiatives. Through analytical tools like percentage analysis and Garret ranking, it divides workplace spirituality in academia, exploring the HR strategies that induce it.Design/methodology/approach(a) Type of research – Descriptive research (b) Area of research – The present study is taken up by the academicians as a respondent in selected colleges in Salem district. (c) Sampling technique – Simple random method was adopted. (d) Sources of data collection – The study comprises mixed data method that both types of data were adopted. (i) Primary data – Researcher conducted data by selecting a representative sample of the teaching faculties from various institutions employed in higher education in Salem. (ii) Secondary data – It is mostly gathered through content found on websites. (e) Method of data collection – Structured questionnaires were employed in this research to acquire the data needed for the investigation. Every item it is rated through five-point scale of with 1 denoting “Strongly Agree” to “Strongly Disagree,” this includes questions about the job, coworkers, seniors and training. (f) Research tools used – Descriptive statistics, Friedman test and Garret ranking.FindingsFindings highlight the significance of encouraging colleagues, workplace development and online learning in fostering workplace spirituality. Faculty encouragement emerges as the most impactful HR practice, while development initiatives improve the reputation of training for new aspects. Notably, online training significantly affects workplace spirituality, increasing the influence of cultural training.Research limitations/implicationsImplications for future research arise, suggesting potential models for studying workplace spirituality in academia and sparking curiosity about the connection between HR practices and spirituality.Practical implicationsFrom a practical viewpoint, the study offers actionable insights for authorities to improve workplace spirituality by supporting colleagues and emphasizing growth strategies. It outlines clear steps for organizations to create more spiritually enriching work environments.Social implicationsSocially, the study advocates for healthier work cultures that impact society's perspective on work–life balance and employee well-being. It promotes positive work environments that benefit both individuals and society.Originality/valueThis paper's originality lies in its focus on how HRTD contributes to workplace spirituality in higher education. It emphasizes supporting colleagues, fostering growth and utilizing e-learning, offering unique insights into spirituality at work. The methodology, using structured questionnaires and statistical analysis among faculty, provides a distinct approach to studying this area.

أثر التدريب على تحسين الأداء الوظيفي في القطاع الخاص في مدينة الرياض

This study aims to determine the impact of training on the performance of employees in private sector institutions in the city of Riyadh. The study focuses on a deep understanding of the impact that training can achieve in improving employees’ performance and developing their skills in the work environment. Training is viewed as a strategic tool to enhance efficiency and effectiveness in organizations. The study is based on a comprehensive research methodology that includes collecting data from several institutions in the private sector in the city of Riyadh. Appropriate research tools, such as questionnaires, are used to collect data relevant to training and employee performance. Through this study, it is expected to be of great importance to decision-makers and managers in private sector organizations, as it will provide valuable insights into the effectiveness of training and its impact on employee performance. Based on the results of the study, training strategies can be improved and performance and efficiency enhanced in organizations.

Combining Game-Based Learning with Design Thinking Using Block-based Programming to Enhance Computational Thinking and Creative Game for Primary Students

This research aims to develop a combining game-based learning with design thinking using block-based programming to enhance computational thinking and creative games for primary students and will be referred to as game-based learning from now on. The purpose of this research is to 1) develop a model for game-based learning, 2) develop the system for game-based learning, 3) evaluate students' computational thinking after implementing game-based learning, and 4) evaluate the creative games created by students after game-based learning is implemented. The research tools included 1) the model for the game-based learning, 2) the model-appropriate evaluation form, 3) the learning system evaluation form 4) the computational thinking evaluation form, and 5) the creative game evaluation form. The research results showed that 1) the evaluation results of the model are appropriate for teaching at the highest level (x  = 4.82, SD = 0.42) and could be used for experimental teaching, 2) The results of game-based learning system quality are at the highest level (x  = 4. 57, S.D. = 0. 50). The researcher implements a game-based learning model and system to teach a sample group of 24 students in grade 4, using a purposive sampling method. The results of the implementation could be summarized as follows: 1) the results of students' computational thinking evaluation after implementing the model and system are significantly higher than before at the .05 level. 2) evaluation results of creative games that students developed after implementing the model and system are at a high level (x  = 4.29, S.D. = 0.52)

Efficacy of antipsychotics in delusional infestation.

Data remain scarce for the first-line antipsychotic choice in treating delusional infestation (DI). We evaluated the treatment responses associated with different antipsychotics in DI patients. We undertook a multicentre, retrospective observational study using anonymised electronic patient records from two hospitals in the United Kingdom from 1 January 2011 to 1 January 2023. Eligible participants were adults (≥18 years) diagnosed with DI treated with an antipsychotic, and had both an assigned baseline and follow-up Clinical Global Impression Scale (CGI-S) score. The CGI-S is a validated psychiatric research tool. Participants were excluded if they had known limited or non-adherence to an antipsychotic, or if no CGI-S scores were present at follow-up. First clinic visits before the initiation of an antipsychotic were assigned as the baseline CGI-S score. The last available CGI-S score before the patient either changed antipsychotic or left the clinic for any reason was used to assign follow-up CGI-S scores. The primary outcome was the response to each individual antipsychotic treatment, measured by the difference in the baseline and last available follow-up CGI-S scores. Differences in CGI-S changes between antipsychotic episodes were tested by analysis of variance (ANOVA). In total, 414 patient records were analysed, and data were extracted. The mean age was 61.8 years (SD 14.1). One hundred seventy (41%) of 414 patients were men and 244 (59%) were women. In total, 156 (38%) of 414 patients were eligible, yielding a total of 315 antipsychotic prescribing episodes. The ANOVA, ranking in order of treatment response, showed that the highest mean score (expressing highest treatment response) was observed in amisulpride (31 [67%] of 46) and risperidone (95 [57%] of 167), followed by some distance by quetiapine (9 [36%] of 25), aripiprazole (13 [28%] of 46) and olanzapine (7 [25%] of 28). Amisulpride and risperidone were associated with a higher treatment response than quetiapine, aripiprazole and olanzapine. Amisulpride and risperidone should therefore be considered the first-line treatment options in DI patients.

Bio2Py: An API for integrating Python with BioWin for enhanced data acquisition in wastewater treatment simulations

Commercial simulators for modeling wastewater treatment processes (WWTPs), such as BioWin, play a crucial role for optimizing the design, operation, and control of treatment facilities. These simulators offer fast and user-friendly interfaces and can be employed to enhance the efficiency of wastewater treatment plants. However, a notable limitation of BioWin and similar platforms is the lack of direct integration with Python®, a programming language renowned for its versatility and extensive data analysis and machine learning libraries. Bridging this gap constitutes an opportunity to significantly improve the simulation process by leveraging Python's capabilities. The Python package Bio2Py (BioWin to Python) is presented as a compelling solution, reconciling BioWin's specialized functionality and Python's automation and data processing strengths. By utilizing Python's PyAutoGUI package, Bio2Py automates various aspects of the simulation process, such as loading influent data, running simulations, and saving simulation results without manual intervention. The integration of BioWin with Python not only speeds up the workflow by automating repetitive tasks but also opens new possibilities, such as parameter calibration for specific wastewaters and using BioWin as a data generator for machine learning applications. This brief communication presents the Bio2Py API, illustrating its use and applicability through a simple implementation example. Bio2Py's ability to automate and optimize various aspects of wastewater treatment process simulation, including data acquisition, and its potential use for process variable optimization and parameter tuning, positions it as a valuable tool for engineers and researchers who work in this field.

The Intergenerational Program Evaluation Tool: Results of a Delphi Study

ABSTRACT Intergenerational programs innovate constantly, but tools to evaluate them lag. Measures vary across programs and usually concentrate on outcomes without attending to programming dimensions that could influence results. Such features limit generalizability and comprehension of the mechanisms by which intergenerational programs achieve their objectives. Building on theory and evidence, we developed an evaluation tool for practitioners and researchers to use as a standalone evaluation tool or in conjunction with other measures. The current paper presents results of a Delphi study used to refine the Intergenerational Program Evaluation Tool (IPET) and establish its face and content validity. Results reinforce preexisting scholarship identifying the IPET as a reliable, valid tool that will help intergenerational scholars promote evidence-based practices and assess their impact on varied goals pursued through shared programming. We describe potential uses of the tool and next steps to advance its adoption through implementation research and psychometric assessment.

The meaning landscape of the concept of the total derivative in multivariable real analysis textbooks: an analysis based on a new model of meaning

AbstractIn this paper, we propose a novel conceptual framework tailored for modeling the meaning of mathematical concepts in university-level mathematics, addressing their rigorous nature and their relationships with related concepts as well as interpretations in various contexts. Within this framework, we present a model of meaning for the concepts of total differentiability and total derivative that provides a variety of possible interpretations and aspects. We then use the proposed model of meaning as a tool for analyzing three different textbooks for mathematics majors on the topic of multidimensional differentiability. Our paper is an example of a subject matter analysis of a topic in university mathematics carried out in a structured way. The model of meaning for total differentiability presented in this paper could inspire course design and analysis including the design of assignments and assessments for students. Moreover, it could serve as a valuable research tool for further analyses. For example, it could be used as a framework for analyzing courses taught or as a basis for developing a test instrument to assess students’ understanding. With our textbook analysis, we begin to examine the landscape of textbooks regarding differentiability concepts in the multidimensional case, shedding light on the diversity of meaning facets that are covered in the textbooks. These results could be useful for guiding instructors and learners in selecting and using textbooks for teaching and learning based on their respective needs.

Can Generative AI improve social science?

Generative AI that can produce realistic text, images, and other human-like outputs is currently transforming many different industries. Yet it is not yet known how such tools might influence social science research. I argue Generative AI has the potential to improve survey research, online experiments, automated content analyses, agent-based models, and other techniques commonly used to study human behavior. In the second section of this article, I discuss the many limitations of Generative. I examine how bias in the data used to train these tools can negatively impact social science research—as well as a range of other challenges related to ethics, replication, environmental impact, and the proliferation of low-quality research. I conclude by arguing that social scientists can address many of these limitations by creating open-source infrastructure for research on human behavior. Such infrastructure is not only necessary to ensure broad access to high-quality research tools, I argue, but also because the progress of AI will require deeper understanding of the social forces that guide human behavior.

The Role of AI in Management

This study investigates "The Role of AI in Management" and aims to understand the impact of AI technologies on various management practices within organizations. The problem of the study arises from the increasing adoption of AI in the business world and the need to comprehend its implications for managerial decision-making, organizational efficiency, and employee experiences. The study focuses on both theoretical and practical aspects, providing insights that can inform academic research and guide organizations in leveraging AI effectively. To address the research problem, a cross-sectional study design using a questionnaire as the primary data collection tool has been selected. This design allows for the collection of quantitative data at a specific point in time, providing a snapshot of the relationship between AI and management practices. The questionnaire will be administered to professionals and managers across diverse industries, representing organizations that have implemented AI technologies in their management processes. The importance of this study lies in its theoretical and practical contributions. Theoretically, it expands the understanding of the role of AI in management by examining its impact on decision-making processes, organizational structures, and employee roles. It contributes to the existing body of knowledge by exploring the nuances and complexities of AI implementation in managerial contexts. Practically, the findings will provide insights and recommendations for organizations seeking to adopt or optimize AI technologies in their management practices. It will guide decision-makers in understanding the potential benefits, challenges, and best practices associated with AI integration. The scope of this study encompasses professionals and managers across various industries, ensuring a diverse representation of AI adoption in management practices. The focus is on organizations that have implemented AI technologies and are actively utilizing them in their decision-making processes, resource allocation, and performance evaluation. The study aims to capture the perceptions, experiences, and attitudes of participants related to the role of AI in management. Data will be collected through a structured questionnaire distributed electronically to the selected participants. The questionnaire will capture quantitative data on participants’ perceptions, experiences, and attitudes towards AI in management. It will include closed-ended and Likert-scale questions, enabling efficient data collection and analysis. The collected data will be analyzed using appropriate statistical techniques, including descriptive statistics, correlation analysis, and regression analysis. By employing this methodology and research tools, this study seeks to provide a comprehensive understanding of the impact of AI on management practices. The findings will contribute to both theoretical knowledge and practical insights, guiding organizations in leveraging AI effectively to enhance decision-making, improve operational efficiency, and foster innovation in management processes.

The Function of RNA Interference (RNAi) in Crop Enhancement- Mechanism and Applications: A Review

RNA interference (RNAi) is a conserved molecular mechanism that plays a critical role in post-transcriptional gene silencing across diverse organisms. This review delves into the role of RNAi in plant functional genomics and its applications in crop improvement, highlighting its mechanistic insights and practical implications. The overview starts with the fundamental finding of the mechanism of RNAi, following its journey from petunias to its ubiquitous presence in a wide range of species. The discovery of several kinds of regulatory non-coding small RNAs, including as phasiRNAs, miRNAs, and siRNAs, has broadened our knowledge of RNAi-mediated gene regulation beyond what is previously thought. These RNA types have an impact on gene expression through complex post-transcriptional and epigenetic mechanisms. RNA interference (RNAi) has become a potent tool for comprehending gene activities in the context of crop improvement. It has shown to be useful in determining the functions of genes for metabolic pathways, stress tolerance, and more. Furthermore, RNAi-based strategies have potential for sustainable agriculture and integrated pest management, supporting international efforts to ensure food security. The many uses of RNA interference (RNAi) are covered in this article, including improving crop nutrition, changing plant architecture, and increasing shelf life. The challenges and future prospects of RNAi technology are also explored. The worldwide geography of RNA interference research is emphasized, with notable contributions from North America, Europe, and China. In conclusion, RNA interference (RNAi) continues to be a flexible and essential tool in contemporary plant research, providing new pathways for understanding gene activities and enhancing crop characteristics. Its combination with other biotechnological techniques, such as gene editing, might influence how agriculture and sustainable food production develop in the future.

Comparative characterization of two monoclonal antibodies targeting canine PD-1

Monoclonal antibodies targeting immune checkpoints have revolutionized oncology. Yet, the effectiveness of these treatments varies significantly among patients, and they are associated with unexpected adverse events, including hyperprogression. The murine research model used in drug development fails to recapitulate both the functional human immune system and the population heterogeneity. Hence, a novel model is urgently needed to study the consequences of immune checkpoint blockade. Dogs appear to be uniquely suited for this role. Approximately 1 in 4 companion dogs dies from cancer, yet no antibodies are commercially available for use in veterinary oncology. Here we characterize two novel antibodies that bind canine PD-1 with sub-nanomolar affinity as measured by SPR. Both antibodies block the clinically crucial PD-1/PD-L1 interaction in a competitive ELISA assay. Additionally, the antibodies were tested with a broad range of assays including Western Blot, ELISA, flow cytometry, immunofluorescence and immunohistochemistry. The antibodies appear to bind two distinct epitopes as predicted by molecular modeling and peptide phage display. Our study provides new tools for canine oncology research and a potential veterinary therapeutic.

Zoom & WhatsApp digital information and communication technologies (ICTs) enhance community engaged research with women immigrants from Mexico

ABSTRACT This article demonstrates how digital information and communication technologies (ICTs) (Zoom/WhatsApp) unexpectedly and counterintuitively proved to be valuable tools for community-engaged health research when, in the context of the COVID-19 pandemic, they were integrated into a research study testing a peer support group intervention with female immigrants from Mexico. Because of pandemic restrictions, we changed the study protocol to hold meetings remotely via Zoom rather than in person as originally planned. Because we recognized that this would lack some opportunities for participants to interact and develop relationships, we created a WhatsApp chat for each group. Despite challenges for participants to use ICTs and participant-stated preference for in-person meetings, the results demonstrated that participants overwhelmingly endorsed these technologies as promoting access, participation, engagement, and satisfaction. Zoom/WhatsApp created a valuable environment both as a method for conducting research with this population, but also as part of the intervention for immigrant women to support and learn from each other. ICT adaptations have now permanently changed the way we conduct community-engaged health research.

Is elderspeak communication in simulated hospital dementia care congruent to communication in actual patient care? A mixed-methods pilot study.

Simulation offers a feasible modality to prepare nurses for challenges communicating with patients with dementia. Elderspeak communication is speech that sounds like baby talk and can lead to rejection of care by patients with dementia. However, it is unknown if simulation can be used to capture elderspeak communication in dementia care. The purpose of this mixed-methods study was to determine if simulation accurately captures elderspeak communication by nursing staff in hospital dementia care. A 3-part mixed-methods design in which (1) three dementia care simulations were designed and validated by a panel of experts, (2) communication by nursing staff completing each simulation was quantitatively compared to communication during actual patient care, and (3) views on the realism were explored using within- and across-case coding. Three simulations using different modalities (manikin, role-play, and standardised patient) were designed and validated with eight experts using the Lynn Method. Ten nursing staff were audio-recorded and their communication was coded for elderspeak communication. Results for each simulation were compared using Wilcoxon signed-rank test to recordings taken during actual dementia care encounters. Debriefings were coded for realism and results were converged. The average time using elderspeak during naturalistic care was 29.9% (SD = 20.9%) which did not differ from the average amount of elderspeak used across the three simulations modalities which ranged from 29.1% to 30.4%. Qualitative results suggested a lack of realism with the manikin condition and the nursing staff indicated preference for the simulation with the standardised patient. Communication elicited in the dementia care simulations was congruent to communication produced in actual dementia care but preference was for the standardised patient. Elderspeak communication can be accurately produced in the simulated environment which indicates that simulation is a valid method for person-centred communication training in nursing staff. Simulation offers a feasible modality to prepare nurses for challenges communicating with patients with dementia. Elderspeak communication is speech that sounds like baby talk and can lead to rejection of care by patients with dementia. However, it is unknown if simulation can be used to capture elderspeak communication in dementia care. Elderspeak communication captured in the simulated environment was congruent to communication nursing staff use during actual patient care to hospitalised persons living with dementia. This study empirically identifies that communication is elicited in similar patterns by nursing staff in the simulated environment compared to the naturalistic care environment which demonstrates that simulation can be used as a valid tool for education and research on person-centred communication. STROBE. No Patient or Public Contribution.

Expanding research impact through engaging the maker community and collaborating with digital content creators.

This paper proposes a method for increasing the impact of academic research by providing materials for public use, thus engaging the maker community, and by collaborating with internet content creators to extend the reach. We propose a framework for engagement and report a multi-year study that evaluates short, intermediate, and long-term outcomes, with a second effort to demonstrate repeatability of the short-term outcomes. In the first study, we posted forty-one 3D printable compliant mechanisms on public repositories and collaborated with physicist and content creator Derek Muller (Veritasium YouTube channel). Outputs and outcomes from this interaction were measured over 3 years. The framework was exercised again with four new 3D printable mechanisms in collaboration with engineer and STEM influencer Mark Rober. The proposed methods aim to help researchers extend the reach of their work to broader audiences, including professional engineers, hardware designers, educators, students, researchers, and hobbyists. This work demonstrates promising impacts of the framework, including (1) extending public awareness of research findings to broader audiences by engaging the maker community and collaborating with content creators, (2) accelerating the pace of innovation and further hardware-based research through public application of research findings, (3) fostering a culture of open-source design and collaboration among other researchers, engineers, educators, and makers, and (4) increasing utilization of peer-reviewed published content. These outreach practices can be valuable tools for researchers to increase impact of and excitement for their research.

Socioeconomic constraints on low‐income individuals' perceptions toward food safety

AbstractFood safety has emerged as a critical concern in Vietnam, posing a significant threat to public health due to the prevalence of unsafe foods in the market. Among those most vulnerable to contaminated foods, low‐income individuals are significantly affected. This study aimed to investigate the perceptions of food safety among this demographic, utilizing qualitative and quantitative approaches, including focus groups, survey questionnaires, and behavioral experiments using steamed bun as a stimulus. Participants were generally from low‐income classes with certain variations in household monthly income. Results from focus groups and the survey highlighted that the factors influencing food purchases included perception of safety, sensory properties, and acceptable pricing. The behavioral experiment revealed that participants with lower incomes were more inclined to select foods containing unsafe chemicals. In conclusion, the study underscored the heightened vulnerability of low‐income individuals to unsafe foods, with their perception of food safety bounded by socioeconomic status.Practical ApplicationsThe study highlights the high risk of contaminated food consumption among low‐income individuals in Vietnam, intensified by economic struggles and heightened vulnerability to food insecurity. With this demographic relying on regulations for their health, urgent actions are needed. Governmental policymakers should focus on implementing food safety educational campaigns, promoting affordable and safe alternatives, and providing food aid to economically disadvantaged communities. Mandatory food safety training programs for street food vendors, food handlers, and small businesses, coupled with regular safety practice monitoring, can play a crucial role in mitigating serious consequences. In addition, the research methodologies employed in this study, especially the behavioral experiment approach, can serve as valuable tools for researchers in the field of consumer behavior, enabling them to attain valid and reliable results.

Αξιοποιώντας το «ρίζωμα» στην κοινωνιογλωσσολογική και την εκπαιδευτική έρευνα

Focusing on people who experience multilevel invisibility and social inclusion, such as unaccompanied minors, literacies research often fails to map and understand the fluidity of their needs and the disruptions they experience in their everyday educational and social lives including school drop-out and radicalization phenomena. Therefore, it is important that we experiment with new ways of thinking and researching. In the present paper, drawing on multiple literacies theory, I showcase how deleuzoguattarian philosophy, and specifically the concept of the rhizome may influence sociolinguistic thought and provide new tools for literacies research. Specifically, applying rhizomic thinking, in order to re-imagine a non-formal second language literacy classroom interaction in a hosting center for unaccompanied minors, I build on the sociolinguistic concept of translanguaging space (Wei, 2018), so as to describe a becoming classroom and becoming learners through the interaction of smooth and striated space. Thereby, I point out how power relations unfold among language users and linguistic features that re-/de-/territorialize in the linguistic landscape of the becoming classroom. Based on this example, I reflect on what counts as literacy and discuss the implications of a deleuzoguattarian approach for a rhizomatic language education inspired by a sociolinguistic justice perspective, and what I call ‘rhizomatic hope’.

Mindfulness and Emotional Intelligence: A Study on Millennials on Hospitality

In software development, dependability and quality are critical. A Bug Tracking System (BTS) designed specifically for large-scale software projects is introduced in this significant project with the goal of streamlining bug tracking, reporting, detection, and resolution. The system provides secure authentication, a backend database that is reliable, and an easy-to-use web interface. Using cutting-edge web technologies, it offers critical features including automated notifications, progress tracking, severity assignment, and thorough bug reporting together with user-friendly interfaces for a range of user roles. Tools for data visualization help identify defect patterns and monitor projects. The project follows best practices recommended by the industry for requirements analysis, design, implementation, testing, and deployment, and it solicits ongoing input. The result is a thorough BTS that addresses defect management difficulties. Thorough testing and assessment in comparison to standards confirms its efficacy. This approach could have a big impact on software development, improving user satisfaction and quality. Furthermore, issues with bug tracking are covered, including distributed team communication, scalability, and automation balancing. Proposals for strategies to address these issues are grounded in scholarly research and professional opinions. This summary highlights the critical role that bug tracking systems play in contemporary software development, making it an invaluable tool for researchers, practitioners, and teams looking to improve bug tracking procedures and raise the caliber and effectiveness of the software development lifecycle. Keywords— Bug Tracking System, Software Development, Defect Management, Quality Assurance, Automation, Collaboration, Large-scale Projects.