bluuebunny/crossref_metadata_2025_split huggingface dataset:
TRAUMATISMO CRANIOENCEFÁLICO – DIAGNÓSTICO, TRATAMENTO E FATORES PROGNÓSTICOS: UMA REVISÃO BIBLIOGRÁFICA
Authors: Mainardo Rodrigues Bezerra Lucas , De Araújo Neto Antônio Carlos , De Lima Braga Thauanne , Goveia Rodrigues Felipe , Rocha Rodrigues Augusto , Cury-Rad Santos Jamila , Caixeta Mauro Alexandre , De Souza Oliveira Kniphoff Iasmim 
Published: March 2024

O Traumatismo Cranioencefálico (TCE) continua a representar uma das principais questões médicas e de saúde pública em todo o mundo, sendo responsável por um considerável ônus global de morbidade e mortalidade. Objetivo: analisar sobre o diagnóstico, tratamento e fatores prognósticos do TCE. Métodos: Trata-se de uma revisão bibliográfica, utilizando artigos presentes nas seguintes bases de dados: PubMed, Scopus e SciELO Foram incluídos artigos originais e revisões sistemáticas em inglês e português publicadas entre 2010 e 2024, que abordassem sobre fatores de risco e prevenção da pré-eclâmpsia. Após a análise, foram selecionados 24 artigos para a confecção dessa revisão bibliográfica. Resultados e Discussão: A classificação de lesões cerebrais mais utilizada e aceita baseia-se no grau de alerta após o trauma, que é classificado de acordo com a escala de coma de Glasgow. O ambiente pré-hospitalar exerce grande influência no sucesso ou no agravo da condição de saúde do paciente vítima de TCE, tendo sido alvo de amplos estudos para se chegar ao melhor protocolo que minimize ao máximo os riscos de piora e ate óbito. No contexto do TCE, a reabilitação personalizada surge como uma abordagem integral e adaptativa para otimizar a recuperação dos pacientes. Conclusão: A análise dos fatores prognósticos determinantes destaca a importância da avaliação inicial da gravidade da lesão, idade do paciente, tempo até a intervenção, comorbidades, suporte social e adesão ao tratamento.
A Digital Twin Development Framework for an Electrical Submersible Pump (ESP)
Authors: Don Mihiran Galagedarage , Liyanarachchi Sampath , Wanasinghe Thumeera R. 
Published: March 2024

Premature failure of a subsystem can be critical for an industrial cyber-physical system (CPS). A digital twin (DT)-assisted predictive maintenance procedure can reduce the risk of costly unplanned maintenance. This study presents a generalized DT development framework for an electrical submersible pump (ESP) that can assist in predictive maintenance. The framework is applied on a single-phase ESP as a proof of concept. The maximum winding temperature of the selected ESP is simulated using a multiphysics simulation tool with transient electromagnetic and transient heat transfer solvers. The simulation parameters were refined using data captured through an ESP free-run experiment. Simulating the total energy loss in the ESP stator and rotor and the transfer of heat from the outer fluid domain facilitates a relationship between the measurable external temperature and the maximum temperature in the stator winding. Following a design of experiment approach, a series of simulations were run to establish a statistical model for the winding temperature in terms of the fluid temperature, the time duration a particular temperature was persistent, and the initial maximum stator winding temperature. As the instantaneous maximum stator winding temperature is related to the remaining useful lifetime, it was shown using a case study that the proposed framework can prognosticate the ESP failure, assisting effective decision-making for predictive maintenance of a CPS.

Received: 5 November 2023 | Revised: 5 February 2024 | Accepted: 8 March 2024

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
The information/data required for reproducing the results is already presented in the manuscript.

Author Contribution Statement
Mihiran Galagedarage Don: Conceptualization, Methodology, Software, Formal analysis, Data curation, Writing - original draft, Visualization, Project administration. Sampath Liyanarachchi: Investigation, Writing - review & editing. Thumeera R. Wanasinghe: Conceptualization, Methodology, Software, Validation, Resources, Writing - review & editing, Supervision, Project administration.
Transcendental Leadership and Performance: Role of Workplace Spirituality and Corporate Social Responsibility
Authors: Riaz Saba 
Published: March 2024

Leadership styles outline the routes used by managers and employeesto reach their desired goal of long-term success. Researchers argued that the compartmentalized components of transactional, transformational, and servant leadership fail to take into consideration the complexities of leaders and followers. Considering the alarming rise of corrupt and selfish leaders in recent years, this research examined a potential countermeasure by investigating the impact of transcendental leadership (TL) on task performance contextual (TPC) and organizational performance contextual (OPC). Additionally, the mediating role of corporate social responsibility (CSR) and moderating role of workplace spirituality (WS) is also investigated in Pakistani industries. The data were collected from 266 respondents and analyzed using hierarchical regression analyses. The results indicated that TL has significant impact on TPC and OPC, whereas CSR mediates the relationship of TL and performance dimensions. Also, WS strengthens the relationship between TL and CSR. We propose implications for practicing managers and researchers hereunder.

Received: 16 December 2023 | Revised: 6 February 2024 | Accepted: 28 February 2024

Conflicts of Interest
The author declares that he has no conflicts of interest to this work.

Data Availability Statement
The data that support this work are available upon reasonable request to the corresponding author.
Walking the Walk: Corporate Social Responsibility and Product Recalls in the Automotive Industry
Authors: Jebari Fatima , Lozano Obed Izaguirre , Krishnaswami Sudha , Lutey Matthew M. 
Published: March 2024

Purpose: The purpose of this paper is to disentangle a unique way in which corporate social responsibility (CSR) affects firm value in the context of product recalls in the automotive industry.
Methodology: Using a sample of product recall events in the automotive industry between 2002 and 2018 and controlling for the spread of product recalls across product lines, this study explores the underlying economic channels through which CSR improves investments in quality. For robustness check, self-selection bias is corrected for using a 2SLS approach and alternative measures for product failures and CSR.
Findings: The authors find that firms with higher CSR scores are associated with a lower frequency of recalls. Moreover, higher CSR scores are associated with a higher likelihood of voluntary recalls, higher product quality, higher capital expenditures, and higher employee productivity.
Unique Contribution to Theory, Practice, and Policy: This study offers insights to managers, investors, and board members, showing the potential benefits of engaging in CSR activities. This study contributes to the literature on the effect of CSR on different managerial decisions and the factors that affect product recalls. Additionally, the study reveals the connection between CSR and product recalls.
Determination of Gestational Age using Crown-Rump Length and its Associated Maternal Correlates in Igbos Living in Nnewi: An Ultrasound Study.
Authors: Okeke Chukwunwendu Aloysius Franklin , Ukoha Ukoha 
Published: March 2024

Purpose: The objective was to determine the accuracy of gestational age measured by CRL in fetuses of black women and also to identify the maternal factors affecting this accuracy in determining the gestational age by CRL measurement in fetuses of black women.
Methodology: This prospective cross-sectional study was conducted in Life and Trinity Specialist hospitals both in Nnewi, South-East, Nigeria. The gestational ages of the fetuses by CRL were determined using Siemens 2D ultrasound scan within 14 weeks and the accuracy compared with the gestational ages obtained from the Last Menstrual Period (LMP). Factors affecting the accuracy of CRL in determining the gestational age in women like the maternal heights and ages were measured. The ultrasound scan was done by a consultant in the department of Obstetrics. Analysis was done using SPSS Package version [20]. Regression analysis was used to compare dependent ad independent variables. Paired t-test was carried out on gestation period by LMP and gestation period by CRL to know if the mean difference between the gestation period by LMP and gestation period by CRL is significant. Multiple correlation analysis was used to ascertain the degree of relationship between maternal weight and age and gestational age by LMP and CRL.
Findings: The result showed that two hundred and sixty-­five women met the inclusion criteria but two were lost to follow up and two hundred and sixty-three were used finally for analysis. The accuracy of ultrasound scan in estimating the gestational age using CRL is within one week in majority of the cases. Maternal height, weight and age are poorly correlated to age of the fetus using the CRL. The fetuses of black women showed a marginal increase in length at gestational age below eight weeks but afterwards this difference is not pronounced. In conclusion, the accuracy of CRL in determining the gestational age is within one week in majority of cases. The maternal height and age are poorly correlated to the CRL of the fetus and thus to the gestational age.
Unique Contributor to Theory, Policy and Practice: Ultrasound scan incorporated with growth chart for fetuses of white women can be equally used to ascertain the gestational ages of fetuses of black women with insignificant difference
Current therapies of urinary tract infections and prevention of multi drug resistance
Authors: Balusupati Krishna Kumari , Sura Srivardhini , Pinneboina Ruchitha Pavani , Gorre Venakata Nagaraju. 
Published: March 2024

Urinary Tract Infections are very severe public health problem and are caused by Escherichia coli, Klebsiella, Proteus, Enterococcus, Pseudomonas, Acinetobacter, Citrobacter and Staphylococcus etc. . Recurrent UTIs and multi drug resistance causes increasing in the economic burden. In this review article we discuss about the pathogens causing UTI, prevalence, current treatment options, multi drug resistance and it’s prevention. For prophylactic management in recurrent UTIs, there are no standard and uniform guidelines . Over use and misuse of the antibiotics leads to drug resistance in the patients. Mostly clinicians use empirical or targeted anti infective agents in the prevention and treatment of UTI along with long term low dose prophylactic antibiotics. However against the growing drug resistance within the uropatgogens, alternative non antibiotic strategies like immuno prophylaxis, estrogen replacement in women are becoming an extremely attractive and reasonable solution in reducing the resistance.
Ayurvedic Management of Atopic Dermatitis – A Case Report
Authors: Aneesh M S 
Published: March 2024

Background: Children’s eczema, often called atopic dermatitis, starts before age 5 and lasts a lifetime. From dry, itchy skin to painful rashes, it disrupts sleep and daily life. Vicharchika, a skin condition similar to Ayurveda, connects with atopic dermatitis based on its causes, symptoms, and overall presentation. Materials and Methods: A boy, aged 4 years old, complained of skin lesions over bilateral lower limbs associated with roughness, scaling, and severe itching all over the body for 6 months. The case was diagnosed as Vicharchika (an Ayurvedic diagnosis for atopic dermatitis). Ayurvedic remedies were used to treat the patient for 2 months. Clinical symptoms and ImageJ software analysis of photographs of the lesions assessed the disease severity. Results: The treatments given were successful in reducing the symptoms. This case study demonstrates the efficacy of Ayurvedic treatment for atopic dermatitis. Conclusions: The study concluded that Ayurvedic therapy was significantly effective in treating atopic dermatitis.
The Impact of Yoga on the Immune System of Cancer Patients: A Scoping Review of Current Evidence
Authors: Giridharan S , Bhana Rajanee 
Published: March 2024

Background: Cancer is a growing problem worldwide, and new strategies for its management and treatment are required. The immune system plays a crucial role in cancer progression and the response to treatment. Recent studies have demonstrated that practicing yoga can positively affect the immune system. This review aimed to examine the impact of yoga on immune parameters in patients with cancer. Methods: We conducted literature searches across several scientific databases for trials published from 2014 to 2023. Studies were selected based on specific criteria, including randomized controlled trials involving yoga interventions with quantitative outcome assessments. Results: Eight studies met our inclusion criteria. These findings suggest that practicing yoga can significantly improve immune function in patients with cancer. Key findings include reductions in inflammatory cytokines, improvements in natural killer cell counts, and modulated gene expression related to immune cell survival. Specific studies have demonstrated benefits in reducing stress and fatigue, enhancing overall quality of life (QoL), and immunological benefits. Conclusion: This review indicates that yoga interventions hold substantial promise in enhancing immune function and overall QoL in patients with cancer.
Review on Clinical Perspective of Multiple Substance use Disorder and its Ayurvedic Management
Authors: Dhanya K , Jithesh M 
Published: March 2024

Background: Substance use disorder (SUD) is a condition in which there is uncontrolled use of a substance despite harmful consequences. Multiple Substance Use Disorders (MSU) include two or more substances taken together or within a short time period, either intentionally or unintentionally. This may lead to problems such as health issues, disability, failure to meet work responsibilities, and difficulties at school and home. Studies have concluded that opiates, cannabis, amphetamines, hallucinogens, inhalants, and benzodiazepines are often used in combination as well. This leads to social, academic, and occupational impairment, along with possible negative health effects. Individuals who abuse one substance are more likely to use other substances as well. Among those aged 12 or older, 61.2 million people (i.e., 21.9% of the population) used illicit drugs in the past year. Objective: To highlight the Ayurvedic clinical perspective in the management of multiple SUDs. Method: In Ayurveda, SUD may be approached by adapting the management principles of madatyaya after assessing the dosha combination as per the clinical presentation. Several combinations useful for the management of the condition, including addiction and withdrawal management, are explained. Ashtanga Lavana, Ajmodarka, Sreekandasava, and Drakshadi Kwatha are some of the medicines used internally to reduce withdrawal symptoms. Panchakarma therapies, along with yoga and Satvavajaya Chikitsa, including family therapy, have a very good outcome in managing substance withdrawal, dependence, and even inpreventing relapse. Results: By adopting the Ayurvedic principles, the outcome of MSU management may be enhanced, and the relapse may also be possible to reduced with the biopsychosocial approach. Conclusion: Evidence-based clinical studies are the need of the hour so as to prove the authenticity of such a clinical perspective explained in Ayurvedic parlance.
Use Of Herbal Medicine Materials In Healing Perineal Rupture Wounds In Baros Health Center, Serang, Banten 2022
Authors: Mudiyati Mudiyati , Sutarno Maryati 
Published: March 2024

Introduction: Indonesia has many regions that still use plants as traditional medicines which are a hereditary inheritance which until now has been widely used in treating various diseases, both acute and chronic. At the Baros Health Center, data obtained on the healing of perineal wounds that experienced complications were 27% in 2020, increasing to 45% in 2021. The use of wound healing plants is widely used, including betel leaves and gotu kola leaves. In this study, it was tested which one was more effective in healing wounds among the herbal medicinal plants. Research Method: The design of this research is an analytic survey using cross sectional with chi square statistical test. Sampling was carried out by total sampling method from all samples of 30 respondents. Results: Obtained a cure rate in the group using betel leaf decoction of 68.7%, this is greater than the use of gotu kola leaves which only has a cure rate of 31.2%. The analysis obtained a p-value of 0.028 and an Odds ratio: 5.500, which means that the healing rate when using betel leaf is 5x faster than gotu kola leaves. Conclusion: Betel leaf is a plant that grows in Indonesia and is effective in helping accelerate the healing process of grade 2 perineal wounds compared to using gotu kola leaves.
O PROCESSO DE TRIAGEM PSICOLÓGICA EM UMA CLÍNICA ESCOLA LOCALIZADA NA CIDADE DE CURITIBA: RELATO DE ESTÁGIO EM PSICOLOGIA
Authors: Santos Dirce Regina Lobo dos , Silva Diego da 
Published: March 2024

Nesse relatório serão informados a importância de ser feita uma triagem antes de ser iniciado um atendimento psicológico, essa triagem será realizada online ou presencial, conforme a necessidade do cliente, realizada no estágio VI, sob a orientação do professor orientador Diego da Silva, na clínica escola do Curso de Psicologia da UNIVERSIDADE UNIENSINO, na cidade de Curitiba, no estado do Paraná. Essa triagem procura compreender e atender as necessidades do paciente e assim podendo redirecioná-lo a um atendimento específico, conforme a necessidade e a prioridade dos atendimentos. Esse contato real e necessário para minhas práticas como futura psicóloga, treinando minha escuta, minha ética profissional, minha empatia, transformando esse atendimento em um lugar seguro de confiança e respeito ao atendido. Enfim será experenciado minhas rotinas nesse ambiente acadêmico, revendo assim nessa prática a necessidade de se pensar no outro, tirando de dentro de mim qualquer preconceito que na minha caminhada pode ter ficado, no meu consciente ou também inconscientemente adquiridos por uma cultura familiar, social, não deixando a minha pessoa se envolver e sim só minha escuta psicológica especializada.
Modelled forest ecosystem carbon–nitrogen dynamics with integrated mycorrhizal processes under elevated CO2
Authors: Thurner Melanie A. , Caldararu Silvia , Engel Jan , Rammig Anja , Zaehle Sönke 
Published: March 2024

Abstract. Almost 95 % of all terrestrial plant species form symbioses with mycorrhizal fungi that mediate plant–soil interactions: mycorrhizae facilitate plant nitrogen (N) acquisition and are, therefore, vital for plant growth, but they also build a pathway for plant-assimilated carbon (C) into the rhizosphere. Therefore, mycorrhizae likely play an important role in shaping the response of ecosystems to environmental changes such as rising atmospheric carbon dioxide (CO2) concentrations, which can increase plant N demand and the transfer of plant C assimilation to the soil. While the importance of mycorrhizal fungi is widely recognised, they are rarely represented in current terrestrial biosphere models (TBMs) explicitly. Here, we present a novel, dynamic plant–mycorrhiza–soil model as part of the QUINCY (QUantifying Interactions between terrestrial Nutrient CYcles and the climate system) TBM. This new model is based on mycorrhizal functional types that either actively mine soil organic matter (SOM) for N or enhance soil microbial activity through increased transfer of labile C into the rhizosphere, thereby (passively) priming SOM decomposition. Using the Duke Free-Air CO2 Enrichment (FACE) experiment, we show that mycorrhizal fungi can have important effects on projected SOM turnover and plant nutrition under ambient as well as elevated-CO2 treatments. Specifically, we find that including enhanced active mining of SOM for N in the model allows one to more closely match the observations with respect to observed decadal responses of plant growth, plant N acquisition and soil C dynamics to elevated CO2, whereas a simple enhancement of SOM turnover by increased below-ground C transfer of mycorrhizae is unable to replicate the observed responses. We provide an extensive parameter uncertainty study to investigate the robustness of our findings with respect to model parameters that cannot readily be constrained by observations. Our study points to the importance of implementing mycorrhizal functionalities in TBMs as well as to further observational needs to better constrain mycorrhizal models and to close the existing major knowledge gaps in actual mycorrhizal functioning.
Synergistic use of Sentinel-2 and UAV-derived data for plant fractional cover distribution mapping of coastal meadows with digital elevation models
Authors: Martínez Prentice Ricardo , Villoslada Miguel , Ward Raymond D. , Bergamo Thaisa F. , Joyce Chris B. , Sepp Kalev 
Published: March 2024

Abstract. Coastal wetlands provide a range of ecosystem services, yet they are currently under threat from global change impacts. Thus, their monitoring and assessment is vital for evaluating their status, extent and distribution. Remote sensing provides an excellent tool for evaluating coastal ecosystems, whether with small-scale studies using drones or national-/regional-/global-scale studies using satellite-derived data. This study used a fine-scale plant community classification of coastal meadows in Estonia derived from a multispectral camera on board unoccupied aerial vehicles (UAVs) to calculate the plant fractional cover (PFC) in Sentinel-2 MultiSpectral Instrument (MSI) sensor grids. A random forest (RF) algorithm was trained and tested with vegetation indices (VIs) calculated from the spectral bands extracted from the MSI sensor to predict the PFC. Additional RF models were trained and tested after adding a digital elevation model (DEM). After comparing the models, results show that using DEM with VIs can increase the prediction accuracy of PFC up to 2 times (R2 58 %–70 %). This suggests the use of ancillary data such as DEM to improve the prediction of empirical machine learning models, providing an appropriate approach to upscale local studies to wider areas for management and conservation purposes.