Role In Management Research Articles

Curcumin in Cancer and Inflammation: An In-Depth Exploration of Molecular Interactions, Therapeutic Potentials, and the Role in Disease Management.

This paper delves into the diverse and significant roles of curcumin, a polyphenolic compound from the Curcuma longa plant, in the context of cancer and inflammatory diseases. Distinguished by its unique molecular structure, curcumin exhibits potent biological activities including anti-inflammatory, antioxidant, and potential anticancer effects. The research comprehensively investigates curcumin's molecular interactions with key proteins involved in cancer progression and the inflammatory response, primarily through molecular docking studies. In cancer, curcumin's effectiveness is determined by examining its interaction with pivotal proteins like CDK2, CK2α, GSK3β, DYRK2, and EGFR, among others. These interactions suggest curcumin's potential role in impeding cancer cell proliferation and survival. Additionally, the paper highlights curcumin's impact on inflammation by examining its influence on proteins such as COX-2, CRP, PDE4, and MD-2, which are central to the inflammatory pathway. In vitro and clinical studies are extensively reviewed, shedding light on curcumin's binding mechanisms, pharmacological impacts, and therapeutic application in various cancers and inflammatory conditions. These studies are pivotal in understanding curcumin's functionality and its potential as a therapeutic agent. Conclusively, this review emphasizes the therapeutic promise of curcumin in treating a wide range of health issues, attributed to its complex chemistry and broad pharmacological properties. The research points towards curcumin's growing importance as a multi-faceted natural compound in the medical and scientific community.

Semi-supervised adversarial deep learning for capacity estimation of battery energy storage systems

Battery energy storage systems (BESS) play a pivotal role in energy management, and the precise estimation of battery capacity is crucial for optimizing their performance and ensuring reliable power supply. Deep learning methodologies applied to battery capacity estimation have exhibited exemplary performance. However, deep learning methods necessitate supervised training with a significant volume of labeled data, presenting challenges for data collection in industrial scenarios. Moreover, a diverse range of battery types in industrial settings makes it difficult to develop capacity estimation models for different types of batteries from scratch. To address these issues, a semi-supervised adversarial deep learning (SADL) method is proposed for lithium-ion battery capacity estimation. Initially, a subset of labeled lithium-ion battery data, coupled with a subset of unlabeled data, is collected. Voltage and current data are then transformed into capacity increment features. Subsequently, an adversarial training strategy is employed, subjecting labeled and unlabeled data to adversarial training to enhance the performance of SADL. Finally, the effectiveness of the SADL method in estimating the capacity of other lithium-ion batteries is analysed. Experimental results demonstrate that the SADL method accurately estimates the capacity of various battery types, showcasing an RMSE error of approximately 2%, surpassing the performance of other methods. The proposed SADL method emerges as a promising solution for the precise estimation of lithium-ion battery capacity in BESS.

A new interpretable streamflow prediction approach based on SWAT-BiLSTM and SHAP.

Streamflow is a crucial variable for assessing the available water resources for both human and environmental use. Accurate streamflow prediction plays a significant role in water resource management and assessing the impacts of climate change. This study explores the potential of coupling conceptual hydrological models based on physical processes with machine learning algorithms to enhance the performance of streamflow simulations. Four coupled models, namely SWAT-Transformer, SWAT-LSTM, SWAT-GRU, and SWAT-BiLSTM, were constructed in this research. SWAT served as a transfer function to convert four meteorological features, including precipitation, temperature, relative humidity, and wind speed, into six hydrological features: soil water content, lateral flow, percolation, groundwater discharge, surface runoff, and evapotranspiration. Machine learning algorithms were employed to capture the underlying relationships between these ten feature variables and the target variable (streamflow) to predict daily streamflow in the Sandu-River Basin (SRB). Among the four coupled models and the calibrated SWAT model, SWAT-BiLSTM exhibited the best streamflow simulation performance. During the calibration period (training period), it achieved R2 and NSE values of 0.92 and 0.91, respectively, and maintained them at 0.90 during the validation period (testing period). Additionally, the performance of all four coupled models surpassed that of the calibrated SWAT model. Compared to the tendency of the SWAT model to underestimate streamflow, the absolute values of PBIAS for all coupled models are below 10%, which indicates that there is no significant systematic bias evident. SHapley Additive exPlanations (SHAP) were used to analyze the impact of different feature variables on streamflow prediction. The results indicated that precipitation contributed the most to streamflow prediction, with a global importance of 29.7%. Hydrological feature variable output by the SWAT model played a dominant role in the Bi-LSTM's prediction process. Coupling conceptual hydrological models with machine learning algorithms can significantly enhance the predictive performance of streamflow. The application of SHAP improves the interpretability of the coupled models and enhances researchers' confidence in the prediction results.

Human-Centric and Integrative Lighting Asset Management in Public Libraries: Insights and Innovations on Its Strategy and Sustainable Development

In an era of rapidly advancing lighting technology and evolving public library roles, this study introduces a groundbreaking strategy for human-centric and integrative lighting asset management. Embracing both visual and non-visual effects, “integrative lighting” aims to enhance users’ physiological and psychological well-being. Despite technological progress, notably with LEDs, current asset management often lags, relying on reactionary measures rather than proactive strategies. As public libraries transform into dynamic learning hubs, the significance of indoor lighting, impacting both physical health and holistic well-being, cannot be understated. Yet, many existing solutions are based on controlled lab tests, bypassing the diverse real-world needs of public libraries. Aiming to explore and develop human-centric and integrative lighting asset management strategies to optimize lighting environments in public libraries, this research offers a cohesive approach encompassing context identification, a management framework, and a maturity assessment model. Additionally, this study highlights the synergy between the role of the lighting asset manager, ISO 55000 principles, and these foundational strategies. This holistic approach not only reinvents lighting in public libraries but also aligns it with the broader Sustainable Development Goals (SDGs), advocating for light as a conduit of comprehensive human betterment. The current study is primarily qualitative in nature. While this study is based on public libraries in Nordic countries, the implications and findings can be of interest and value to a broader international audience.

Exploring the potential extended role of community pharmacy in the management of osteoarthritis: A multi-methods study with pharmacy staff and other healthcare professionals.

Osteoarthritis is the commonest form of chronic joint pain, which patients often self-manage before seeking healthcare advice. Patients frequently seek advice from community pharmacies, and a recent policy has recommended integrating community pharmacies into long-term condition pathways. This study explored community pharmacy teams' (CPs) and other healthcare professionals' (HCPs) views on community pharmacies providing an extended role for osteoarthritis management, identifying potential barriers and facilitators to this. A multi-methods study comprising surveys of CPs and other HCPs, followed by qualitative interviews. Descriptive statistics were used in an exploratory analysis of the survey data. Qualitative data were analysed using reflexive thematic analysis and the identified barriers and facilitators were mapped to the Theoretical Domains Framework. CPs and other HCPs in the surveys and interviews reported that an extended role for osteoarthritis management could include: a subjective assessment, explaining the joint problem and its treatment, medication management and support for self-care. There was less consensus on diagnosing the problem as OA and completing an objective assessment. A key facilitator was training to deliver the role, whilst barriers were high workload and lack of access to General Practitioner medical records. Acceptable elements of an extended community pharmacy role for osteoarthritis centre around the provision of information, advice on medication and supported self-management. CPs are well placed to contribute towards evidenced-based osteoarthritis management. Feasibility testing of delivering the extended role is needed and future implementation requires training for CPs and raising public awareness of the extended role.

Role of strengthening exercises in management and prevention of overuse sports injuries of lower extremity: a systematic review.

Overuse injuries are common in sports involving jumping, running, and landing, due to the repetitive nature of these activities and the strain they place on the lower extremity. The objective of the study was to determine the role of strengthening exercises in the management of overuse sports injuries of lower extremity and its effects on prevention of injury recurrence. This study employed a systematic review design. The author extracted and reviewed the papers for this study in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria, and then used the PEDro scale to rate the articles' quality. For the most recent and well-developed primary data, several electronic databases including Google Scholar, PubMed Central, MEDLINE, Cochrane Library, and PEDro were exhaustively searched. Inclusion criteria were based on PICO (T) model and included study population, intervention nature, outcome measures, time period, methodological quality, and linguistic extent. The data synthesis involved analyzing randomized control/clinical trials on strengthening exercises for lower extremity overuse sports injuries in athletes, considering outcomes including muscle strength, pain scores, return to sports, and injury prevention. The methodological quality of the recruited articles ranged from excellent to fair on PEDro scale. Three included studies investigated the effects of strengthening exercises on management of lower extremity injuries of athletes. Four studies evaluated its role on prevention from recurrence of injuries. This study has concluded that strength training plays a fundamental role in management and prevention of overuse injuries. It not only improves the muscle performance, fitness level, speed and agility in sports but also decreases the pain, and aids in early recovery from an injury.

Imposter phenomenon in physical therapists: A cross-sectional observational study.

Imposter phenomenon (IP), or perceived fraudulence, describes an ongoing fear of exposure as a fraud or imposter, despite objective successes and accomplishments. Although there is a growing interest of IP in medicine, IP in the physical therapy profession has been minimally examined. We aimed to determine the prevalence and predictors of IP among licensed physical therapists in the United States. This cross-sectional observational study utilized an online survey to assess levels of IP using the Clance Imposter Phenomenon Scale. We assessed degrees of emotional exhaustion and job satisfaction and collected professional and demographic information. A multivariable logistic regression model examined factors associated with IP presence. The mean IP score was 60.3 (SD: 15.1, range: 19-95). Fifty-five respondents (10.7%) had low IP, 196 (38.1%) moderate, 215 (41.8%) frequent, and 48 (9.3%) intense IP. The prevalence of IP, defined as frequent or intense IP, was 51.2%. Having manager/supervisor experience (odds ratio [OR] = 0.55, 95% confidence interval [CI] = 0.34-0.90) was associated with a reduced odds of IP presence. Holding a bachelor's or master's degree (vs. Doctor of Physical Therapy (DPT); OR = 2.31, 95% CI = 1.07-5.00), a history of or current mental health diagnosis (OR = 2.77, 95% CI = 1.69-4.54), and emotional exhaustion (moderate vs. low: OR = 5.37, 95% CI = 2.11-13.69; high vs. low: OR = 14.13, 95% CI = 5.56-35.89) were each associated with an increased odds of IP presence. IP is highly prevalent among licensed physical therapists. Seasoned clinicians with managerial roles seemed to be less susceptible to IP, whereas those with mental health diagnoses, emotional exhaustion, and those without a DPT degree may be more susceptible. Given its high prevalence and potential negative impact on burnout and career advancement, it is crucial to increase IP awareness and provide education on management strategies.

Careers in “woman‐friendly” occupations: Investigating the role of beauty consultant in the era of neoliberalism

AbstractThis article explores the paradoxical nature of beauty consultant careers in Japan. Despite being considered a “woman‐friendly” occupation, it reveals the challenging aspects of this profession in a neoliberal context. Japan's gender gap in employment is stark, with women often engaged in precarious positions, earning significantly less than men. The beauty industry, perceived as advancing women's empowerment, presents opportunities for women in management roles. However, the profession of a beauty consultant demands continuous beauty upkeep, making it a potentially unsustainable career. The research draws on interviews with former and current beauty consultants, supplemented by statistical data and observational research. It highlights their working environment, including entry requirements, training, career advancement, and aesthetic labor demands such as wearing company uniforms, using specific makeup, and maintaining a youthful appearance. Despite a seemingly supportive environment with maternity leave and career advancement prospects, the research reveals the reality of aesthetic labor demands, limited career progression, and challenges faced by women in sustaining their careers after life events like childbirth. Neoliberal norms impact these women, emphasizing self‐fulfillment, maintaining youth and beauty, and working post life events. In conclusion, the research offers insights into the gendered labor dynamics in Japan and broadens understanding of women's labor in the neoliberal context. It calls for a deeper examination of “woman‐friendly” workplaces and underscores the need to recognize the challenges women face in career progression in such environments.

Impact of mission and vision on academic services mediated by governance and human resources in higher education institutions of Indonesia

Mission and vision play an essential role in strategic management. They are the philosophical foundation and strategic direction of higher education, serving as a guide, inspiration, and control tool to achieve organizational goals. Therefore, this study aims to investigate the relevance and impact of mission and vision on academic services provided by Indonesian higher education institutions through governance and human resources. The research instrument is based on relevant literature and uses a Likert scale to measure implementation, socialization, and effectiveness of mission and vision, academic services, governance, and human resources. Data were collected using the online random sampling method, and the number of respondents was 10,937 lecturers. The study uses a serial mediation analysis to test the hypotheses. The research results show that governance and human resources positively affect academic services. As a mediator variable, they can improve academic services. The results highlight the significant contribution of mission and vision to governance. Governance also contributes significantly to human resource management. Human resources can boost academic services. This study emphasizes the importance of the university’s mission and vision, namely the philosophical foundation and strategic direction of academic services supported by appropriate human resources and good governance.

Biochar: A Comprehensive Review on a Natural Approach to Plant Disease Management

Since time immemorial organic amendments have been an important strategy for improving soil fertility and suppressing a wide range of soil-borne pathogens. Biochar, a charcoal-like amendment has true potential in managing phytopathogens with an eco-friendly approach. It is produced by subjecting plant materials and agricultural waste to high temperatures of around 900°C in limited oxygen conditions. Biochar is considered to be an excellent carbon sequester and has an undeniably imperative role in improving soil properties. Biochar has innumerable applications in the remediation of environmental pollutants by immobilizing heavy metals such as Cadmium and Arsenic and degradation of dyes and pesticides. One of the most significant advantages of biochar in addition to mitigating environmental pollution is effectively managing plant pathogens by altering soil physical and chemical properties and promoting antagonistic microorganisms. Biochar directly suppresses plant pathogens by priming plant defense mechanisms. For instance, sugarcane bagasse biochar remediates Cd from contaminated soil, and citrus wood biochar induces systemic resistance against Botrytis cinerea in host-Lycopersicon esculentum, Capsicum annuum L. cv. Maccabi and Fragaria ananassa. Nevertheless, it is essential to acknowledge its limitations, such as the potential to absorb and enhance the residual activity of harmful chemicals. Further research is needed to develop a deeper understanding of biochar’s properties and mechanisms for more effective results. Advanced techniques like meta-transcriptomics and metaproteomics hold the potential to provide invaluable insights into this field. The review provides a comprehensive overview of current information regarding biochar, covering its production techniques and highlighting its agricultural benefits, with a particular focus on its role in plant disease management. Furthermore, the associated risks and concerns are also discussed.

History of anthropogenic faece and sewage contamination to Lake Erhai in southwestern China over the past ∼200 years

Over the past decades, faece and sewage pollution from agricultural and industrial activities has induced severe eutrophication and ecosystem deterioration of Lake Erhai in southwestern China. Investigations on the anthropogenic faece and sewage input from both spatial and historical viewpoints are of great values for recovery strategies. In this study, we investigated fecal steroids in surface sediments from Lake Erhai collected in 2018, and found that the faece and sewage contamination is mainly from the southern region due to urban development, while the raw sewage contributes more in the northern region due to agriculture activities. We further applied fecal steroids to reconstruction of faece and sewage contamination to Lake Erhai over the past ∼200 years. The concentrations in fecal steroids remained low during ∼1820–1970, started to increase since the 1970s, and further increased after the 1990s, indicating a cumulative effect of contamination on the lake ecosystem by agricultural activities and urbanization practices. Diagnostic ratios of faece and sewage contamination over in-situ productivity remained stable or even decreased slightly during ∼1970–1980, and significantly increased during ∼1980–2008, suggesting that the contamination in Lake Erhai began at the 1980s. The fecal steroid records also demonstrated that even though anaerobic sewage treatment was in process, production of raw sewage still exceeded sewage treatment after the 1980s. Considerable faece and sewage contamination in the Lake Erhai catchment from anthropogenic industrialization and urbanization, which has also been observed from various environments throughout the world, asks for further efforts on regulations to protect water quality and human life. Fortunately, governmental regulations have significantly reduced the anthropogenic faece and sewage contamination to Lake Erhai over the past decades, highlighting a crucial role of sustainable management on lake ecosystem.

Why death and aging ? All memories are imperfect

Recent papers have emphasized the primary role of cellular information management in biological and evolutionary development. In this framework, intelligent cells collectively measure environmental cues to improve informational validity to support natural cellular engineering as collaborative decision-making and problem-solving in confrontation with environmental stresses. These collective actions are crucially dependent on cell-based memories as acquired patterns of response to environmental stressors. Notably, in a cellular self-referential framework, all biological information is ambiguous. This conditional requirement imposes a previously unexplored derivative. All cellular memories are imperfect. From this atypical background, a novel theory of aging and death is proposed. Since cellular decision-making is memory-dependent and biology is a continuous natural learning system, the accumulation of previously acquired imperfect memories eventually overwhelms the flexibility cells require to react adroitly to contemporaneous stresses to support continued cellular homeorhetic balance. The result is a gradual breakdown of the critical ability to efficiently measure environmental information and effect cell-cell communication. This age-dependent accretion governs senescence, ultimately ending in death as an organism-wide failure of cellular networking. This approach to aging and death is compatible with all prior theories. Each earlier approach illuminates different pertinent cellular signatures of this ongoing, obliged, living process.

Carbon Material-Reinforced Polymer Composites for Bipolar Plates in Polymer Electrolyte Membrane Fuel Cells.

Bipolar plates (BPs) are one of the most important components of polymer electrolyte membrane fuel cells (PEMFCs) because of their important role in gas and water management, electrical performance, and mechanical stability. Therefore, promising materials for use as BPs should meet several technical targets established by the United States Department of Energy (DOE). Thus far, in the literature, many materials have been reported for possible applications in BPs. Of these, polymer composites reinforced with carbon allotropes are one of the most prominent. Therefore, in this review article, we present the progress and critical analysis on the use of carbon material-reinforced polymer composites as BPs materials in PEMFCs. Based on this review, it is observed that numerous polymer composites reinforced with carbon allotropes have been produced in the literature, and most of the composites synthesized and characterized for their possible application in BPs meet the DOE requirements. However, these composites can still be improved before their use for BPs in PEMFCs.

Online Adaptive Model Identification and State of Charge Estimation for Vehicle-Level Battery Packs

Accurate state of charge (SOC) estimation of traction batteries plays a crucial role in energy and safety management for electric vehicles. Existing studies focus primarily on cell battery SOC estimation. However, numerical instability and divergence problems might occur for a large-size lithium-ion battery pack consisting of many cells. This paper proposes a high-performance online model identification and SOC estimation method based on an adaptive square root unscented Kalman filter (ASRUKF) and an improved forgetting factor recursive least squares (IFFRLS) for vehicle-level traction battery packs. The model parameters are identified online through the IFFRLS, where the conventional method might encounter numerical stability problems. By updating the square root of the covariance matrix, the divergence problem in the traditional unscented Kalman filter is solved in the ASRUKF algorithm, where the positive semi-definiteness of the covariance matrix is guaranteed. Combined with the adaptive noise covariance matched filtering algorithm and real-time compensation of system error, the proposed method solves the problem of ever-degrading estimation accuracy in the presence of time-varying noise with unknown statistical characteristics. Using a 66.2-kWh vehicle battery pack, we experimentally verified that the proposed algorithm could achieve high estimation accuracy with guaranteed numerical stability. The maximum error of SOC estimation can be bounded by 1%, and the root-mean-square error is as low as 0.47% under real-world vehicle operating conditions.

A Mixed-Methods Evaluation of the Emerging Role of Access Medical Director in U.S. Health Systems

The access medical director role in the ambulatory setting is emerging in health systems. Characteristics of the role include collaborative, patient-centered, systems thinker, and technical proficiency in data and qualitative skills; however, training opportunities are limited. This study aimed to create an evidence-and expertise-informed framework to identify elements of the emerging clinician leadership role in ambulatory access in U.S. health systems and to identify the prevalence of clinician leaders assigned to the leadership role in ambulatory access in U.S. health systems.

Governance Failure and Governance Under Failure: Reviewing the Role of Directors in Organizational Misconduct

Research on organizational misconduct has mostly evolved independently from the literature on corporate governance. Yet, our survey of research on the role of directors in organizational misconduct contexts yielded more than 110 articles in the last 17 years across the management, accounting, marketing, operations, public relations, and finance literatures, showing that research on the role of corporate governance in organizational misconduct has increasingly become a distinct domain of inquiry. With its own scholarly audience, including scholars working in strategy, ethics, decision-making, and leadership, this research has employed diverse theories and investigated different antecedents, reactions, and outcomes. It has also focused on how directors both influence and are affected by organizational misconduct. Consequently, this literature is currently fragmented in several respects. Our aim in this review is to generate conceptual integration that brings coherence to this growing body of research and to facilitate future research in this important domain. The review offers a cohesive view of the effects of corporate governance on misconduct and of misconduct on corporate governance and provides frameworks for integrating the disparate macrolevel theories that currently characterize this work.

Management System in Strengthening Women's Empowerment and Child Protection Institutions in the Child Friendly City Program in Makassar

The aim of the research is to strengthen the Women's Empowerment and Child Protection institution in the child-friendly city program in Makassar from management system indicators. This research method uses qualitative methods. The research results show that the role of management is also very important in measuring institutional indicators because when talking about management we will of course always mention resources, budget and organizational culture. At the DP3A institution, human resource capacity building has begun to be carried out by involving and including in training or technical guidance for each staff in accordance with their field and main duties and functions. Meanwhile, in terms of financial management or what is usually called the budget, of course at DP3A it has been accommodated according to its function. Some are aimed at agendas or programs that relate to the KLA, some are aimed at increasing HR effectiveness such as training, and there are also activities related to policy making or the latest innovations.

Transforming Crises Into Opportunities: Self-Managed Media in Argentina

The current situation for journalism in Argentina represents a great challenge due to the continuous economic changes linked to inflation and labour precariousness. Faced with this, a phenomenon known as self-managed media has grown over the recent years, also connected to recovered media that promotes innovation, providing material for use in newsrooms to produce novel content and connect with audiences. For this explorative study, based on journalists’ roles and innovation, we conducted a mixed-methods design to analyse self-managed media composed of recovered, cooperatives, community, popular, and alternative media. First, a focus group was held with 10 communicators to understand their current situation; second, 60 journalists were consulted about their roles and innovations; finally, in-depth interviews were conducted with three communicators who work on self-managed media at the Community and Cooperative Media Confederation. The findings reveal the presence of innovative actions, reported by 90% of respondents, and confirm that 70% of the consulted journalists had assumed new roles in management and administration. In addition, 80% of the journalists praised community work as fostering a sense of belonging and its associated benefits regarding motivation and freedom. These sentiments were further validated by the insights shared by the three interviewees. This sense of belonging could be included in the fifth area of innovation in journalism, which centres on the social dimension.

Infection Control Nurses’ Burnout Experiences in Hospitals during the COVID-19 Pandemic

Purpose: This study was conducted to gain a comprehensive and in-depth understanding of infection control nurses’ burnout experiences in hospitals during the COVID-19 pandemic.Methods: We recruited 11 infection control nurses (ICNs) who worked in hospitals in Korea through purposive sampling. Data collected through one-to-one, in-depth interviews were transcribed and analyzed using qualitative content analysis.Results: Infection control nurses’ burnout experiences were categorized into five themes and 11 sub-themes. The themes were as follows: “challenges faced while playing a pivotal role in infectious disease management,” “conflict of interest prevalent inside and outside,” “physical and mental collapse,” “a long road to achieving stability in the infection control unit,” and “source of strength to endure.”Conclusion: In light of the need to better prepare for future outbreaks of emerging infectious diseases, such as COVID-19, the findings of this study highlight the need for strategic approaches, such as developing programs to provide psychological and social support for infection control nurses, as well as establishing a well-designed system of nursing care for infectious diseases to alleviate their burnout.

Relationship between knowledge management and information technology

The aim of this study was to identify the relationship between knowledge management and information technology. This is a bibliometric review and combinations of the following descriptors were tested: "knowledge management" and "information technology". The results show the fundamental role of Knowledge Management and IT in modern institutions, its importance in generating value through intangible assets and how IT is closely linked to KM, enabling its use in a broad and functional way. The research shows that there is still a need for reflection and further study, especially in view of new data handling technologies.