bluuebunny/crossref_metadata_2025 huggingface dataset:
The Relationship Between Emotional Intelligence and Coping Behaviors among Nurses in the Intensive Care Unit
Authors: Jawabreh Nida
Published: March 2024

Introduction

Nurses are expected to experience chronic stress and be involved in unhealthy actions more frequently due to the rising demands of medical care, which impact every aspect of their individual and professional lives. Individuals with higher emotional intelligence could cope and adjust to environmental changes and social constraints better than those with lower emotional intelligence.

Objective

The objective of this study was to assess the relationship between the emotional intelligence and coping behaviors of nurses in the intensive care units (ICUs) in the West Bank.

Methods

The study was a cross-sectional method done on convenience sample of 266 ICU nurses. Data collection was performed by “Schutte Self Report Emotional Intelligence Test” (SSEIT) and the “Coping Behavior Inventory”. Statistical analysis was completed using SPSS version 23. Pearson correlation was used to measure the relationship between the emotional intelligence and coping behaviors.

Results

The analysis indicated that emotional intelligence was high (mean ± SD = 150.8 ± 2.1, range 33–165). Also, the analysis indicated that coping behavior of the participants was moderate (mean ± SD = 29.3 ± 15.2, range 0–76). Furthermore, the analysis indicated that there was a moderate positive relationship between nurses’ emotional intelligence and their coping behaviors.

Conclusion

Coping behavior was indicated to have a moderately positive relationship with emotional intelligence. However, social skills or managing others’ emotions indicated low positive relationship and emotional intelligence. There is a negligible correlation between emotional intelligence and perception of emotions, managing emotions in the self, and utilizing emotions. Training in emotional intelligence is essential for nurses since it improves both their personal and professional life and coping mechanisms.
How you value shapes whom you value: The contribution of apprenticeships to sustainable development goals
Authors: Brandl Julia , Chore Laverne Iminza , Junker Mario
Published: March 2024

Apprenticeships are crucial in the ILO’s decent work agenda and align with sustainable development goals. While existing scholarship underscores the relevance of specific programme features for stakeholders’ outcomes, scant attention has been paid to the HR actors’ agency in shaping the programmes. Our process study delves into a customised apprenticeship programme for temporary workers in an Austrian manufacturing firm, aiming to uncover how HR actors influence apprenticeship outcomes. Adopting a convention theory approach, we examine HR actors’ evaluations during the programmes’ realisation and their implications for consolidation or conversion of programme features. The findings reveal a range of gains and unfulfilled aspirations, particularly for employee representatives. We attribute these outcomes to HR actors’ commitment to convention-based practices, which are more salient during the recruitment and training phase than after the exam. We conclude that how HR actors value apprenticeship shapes for whom an apprenticeship programme is valuable.
Infantile Myofibroma of the Frontal Bone: A Case Report
Authors: Alawi Khalifa Al , Abri Ruqaya Al , Shaqsi Sultan Al , Habsi Jehad Al , Al Azri Ahmed , Balushi Taimoor Al
Published: March 2024

Background:

Infantile myofibroma stands as the most prevalent fibrous neoplasm within the pediatric population, despite its rarity. The majority of these tumors manifest within the initial 2 years of life. Clinically, myofibroma lesions are classified into solitary and multicentric tumors.

Methods:

We present a case of infantile myofibroma located within the frontal bone of a 16-month-old infant. Initial evaluation of the swelling and its spread was conducted using CT and MRI scans. Subsequently, the diagnosis was confirmed through a core needle biopsy.

Results:

The tumor underwent surgical excision with 1 cm safety margin and immediate reconstruction with strips of calvaria bone graft. Histopathology of the specimen showed complete tumor clearance with actual margin of 7 mm.

Conclusion:

The surgical resection of cranial benign bone tumors should be meticulously planned with a multidisciplinary approach. Wherever possible, immediate reconstruction should be conducted to avoid the morbidity of a subsequent procedure.
A computational intelligence approach for solar photovoltaic power generation forecasting
Authors: Nesmachnow Sergio , Risso Claudio
Published: March 2024

This article describes an approach applying computational intelligence methods for the problem of forecasting solar photovoltaic power generation at country level. Precise forecast of power generation plays a vital role in designing a dependable photovoltaic power generation system. The computed predictions enable the implementation of efficient planning, management, and distribution strategies for the generated power, ultimately enhancing the performance and efficiency of the system. The study analyzes and compares artificial neural network approaches for a specific case study using real solar photovoltaic power generation data from Uruguay in the period 2018 to 2022. Several artificial neural network architectures are evaluated for forecasting. The main results indicate that the approach applying a combination of Encoder-Decoder and Long Short Term Memory artificial neural networks is the most effective method for the addressed forecasting problem. The approach yielded promising results, with an average mean error value of 0.09, improving over the other artificial neural network architectures. Even better results were obtained for sunny days. The generated forecasts hold significant value for its application in planning and scheduling processes, aiming to enhance the overall quality of service of the electricity grid.
Hedging in the Stock Market: Is the Colored Coin Better than the Physically-Backed Diamond Index?
Authors: Cui Fuqi , Gao Xiang , Wang Zhan , Zhang Jiong
Published: March 2024

The present paper examines the potential utilization of diamond-connected cryptocurrencies as one novel means to acquire long or short positions in tangible diamonds. We evaluate the equity risk hedging capability of two popular colored coins associated with diamonds, namely PinkCoin and CaratCoin. PinkCoin is chosen over CaratCoin for further analysis due to its extensive transaction data, allowing for a comparison with a benchmark diamond price aggregate. Our results suggest incorporating such tokens in portfolios enables protection against swings in the equity market, particularly during periods of market decline. Moreover, these assets have the attribute of augmenting portfolio diversification within a conventional mean-variance frontier framework. The reconciliation of colored coins’ accessibility and price fluctuations with the safe-haven characteristic of diamonds has resulted in unique diversification benefits comparable to those associated with trading natural gemstones. Although the conclusion above holds significant appeal for investors who favor the inclusion of diamonds in their investment portfolios, it harbors concerns regarding liquidity and the assurance of genuineness.
A trans-diagnostic investigation of attention, hyper-focus, and monotropism in autism, attention dysregulation hyperactivity development, and the general population
Authors: Dwyer Patrick , Williams Zachary J , Lawson Wenn B. , Rivera Susan M
Published: March 2024

The monotropism hypothesis posits that hyper-focus on interests is core to autistic cognition; moreover, hyper-focus is common in attention dysregulation hyperactivity development (ADHD). However, ADHD is partly defined by susceptibility to distraction, and research has found evidence of attention capture in autism. We investigated hyper-focus in autism and ADHD, its relationship to inattention, and whether it is related to quality of life, hypervigilance, negative repetitive thinking, and symptoms of anxiety and depression. 492 adults (122 ADHD-only, 130 autistic-only, 141 autistic + ADHD, and 99 comparison) completed questionnaires indexing hyper-focus in multiple domains, inattention, and the valence of their hyper-focus experiences. Hyper-focus and inattention were elevated in all neurodivergent groups, and were positively correlated, implying that atypical regulation of attention, sometimes manifesting in hyper-focus and sometimes in inattention, is a trans-diagnostic phenomenon. Hyper-focus predicted poorer global quality of life, more hypervigilance, more negative repetitive thinking, and more symptoms of anxiety and depression; however, positive experiences of hyper-focus mediated an indirect relationship between hyper-focus and greater quality of life, partially attenuating the overall negative association. Indeed, neurodivergent participants not only reported more negative experiences of hyper-focus than controls, but also more positive experiences. Further studies could explore contextual factors influencing whether hyper-focus has positive or negative impacts on daily life.
Amino acid supplementation confers protection to red blood cells before Plasmodium falciparum bystander stress
Authors: Binns Heather Colvin , Alipour Elmira , Sherlock Cameron E. , Nahid Dinah S. , Whitesides John F. , Cox Anderson O’Brien , Furdui Cristina M. , Marrs Glen S. , Kim-Shapiro Daniel B. , Cordy Regina Joice
Published: March 2024

Malaria is a highly oxidative parasitic disease in which anemia is the most common clinical symptom. A major contributor to the malarial anemia pathogenesis is the destruction of bystander, uninfected red blood cells (RBCs). Metabolic fluctuations are known to occur in the plasma of individuals with acute malaria, emphasizing the role of metabolic changes in disease progression and severity. Here, we report conditioned medium from Plasmodium falciparum culture induces oxidative stress in uninfected, catalase-depleted RBCs. As cell-permeable precursors to glutathione, we demonstrate the benefit of pre-exposure to exogenous glutamine, cysteine, and glycine amino acids for RBCs. Importantly, this pretreatment intrinsically prepares RBCs to mitigate oxidative stress.
Cost-effectiveness of bevacizumab therapy in the care of patients with hereditary hemorrhagic telangiectasia
Authors: Wang Daniel , Ito Satoko , Waldron Christina , Butt Ayesha , Zhang Ellen , Krumholz Harlan M. , Al-Samkari Hanny , Goshua George
Published: March 2024

No US Food and Drug Administration- or European Medicines Agency-approved therapies exist for bleeding due to hereditary hemorrhagic telangiectasia (HHT), the second-most common inherited bleeding disorder worldwide. The current standard of care (SOC) includes iron and red cell supplementation, alongside the necessary hemostatic procedures, none of which target underlying disease pathogenesis. Recent evidence has demonstrated that bleeding pathophysiology is amenable to systemic antiangiogenic therapy with the anti-vascular endothelial growth factor bevacizumab. Despite its high cost, the addition of longitudinal bevacizumab to the current SOC may reduce overall health care resource use and improve patient quality of life. We conducted, to our knowledge, the first cost-effectiveness analysis of IV bevacizumab in patients with HHT with the moderate-to-severe phenotype, comparing bevacizumab added to SOC vs SOC alone. The primary outcome was the incremental net monetary benefit (iNMB) reported over a lifetime time horizon and across accepted willingness-to-pay thresholds, in US dollar per quality-adjusted life year (QALY). Bevacizumab therapy accrued 9.3 QALYs while generating $428 000 in costs, compared with 8.3 QALYs and $699 000 in costs accrued in the SOC strategy. The iNMB of bevacizumab therapy vs the SOC was $433 000. No parameter variation and no scenario analysis, including choice of iron supplementation product, changed the outcome of bevacizumab being a cost-saving strategy. Bevacizumab therapy also saved patients an average of 133 hours spent receiving HHT-specific care per year of life. In probabilistic sensitivity analysis, bevacizumab was favored in 100% of all 10 000 Monte Carlo iterations across base-case and all scenario analyses. Bevacizumab should be considered for more favorable formulary placement in the care of patients with moderate-to-severe HHT.
Towards the adoption of quantitative computed tomography in the management of interstitial lung disease
Authors: Walsh Simon L.F. , De Backer Jan , Prosch Helmut , Langs Georg , Calandriello Lucio , Cottin Vincent , Brown Kevin K. , Inoue Yoshikazu , Tzilas Vasilios , Estes Elizabeth
Published: March 2024

The shortcomings of qualitative visual assessment have led to the development of computer-based tools to characterise and quantify disease on high-resolution computed tomography (HRCT) in patients with interstitial lung diseases (ILDs). Quantitative CT (QCT) software enables quantification of patterns on HRCT with results that are objective, reproducible, sensitive to change and predictive of disease progression. Applications developed to provide a diagnosis or pattern classification are mainly based on artificial intelligence. Deep learning, which identifies patterns in high-dimensional data and maps them to segmentations or outcomes, can be used to identify the imaging patterns that most accurately predict disease progression. Optimisation of QCT software will require the implementation of protocol standards to generate data of sufficient quality for use in computerised applications and the identification of diagnostic, imaging and physiological features that are robustly associated with mortality for use as anchors in the development of algorithms. Consortia such as the Open Source Imaging Consortium have a key role to play in the collation of imaging and clinical data that can be used to identify digital imaging biomarkers that inform diagnosis, prognosis and response to therapy.
The persistent inflammation in COPD: is autoimmunity the core mechanism?
Authors: Dong Ling-Ling , Liu Zheng-Yuan , Chen Kai-Jun , Li Zhou-Yang , Zhou Jie-Sen , Shen Hua-Hao , Chen Zhi-Hua
Published: March 2024

COPD poses a significant global public health challenge, primarily characterised by irreversible airflow restriction and persistent respiratory symptoms. The hallmark pathology of COPD includes sustained airway inflammation and the eventual destruction of lung tissue structure. While multiple risk factors are implicated in the disease's progression, the underlying mechanisms remain largely elusive. The perpetuation of inflammation is pivotal to the advancement of COPD, emphasising the importance of investigating these self-sustaining mechanisms for a deeper understanding of the pathogenesis. Autoimmune responses constitute a critical mechanism in maintaining inflammation, with burgeoning evidence pointing to their central role in COPD progression; yet, the intricacies of these mechanisms remain inadequately defined. This review elaborates on the evidence supporting the presence of autoimmune processes in COPD and examines the potential mechanisms through which autoimmune responses may drive the chronic inflammation characteristic of the disease. Moreover, we attempt to interpret the clinical manifestations of COPD through autoimmunity.
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
Authors: Dolezal James M. , Kochanny Sara , Dyer Emma , Ramesh Siddhi , Srisuwananukorn Andrew , Sacco Matteo , Howard Frederick M. , Li Anran , Mohan Prajval , Pearson Alexander T.
Published: March 2024

Deep learning methods have emerged as powerful tools for analyzing histopathological images, but current methods are often specialized for specific domains and software environments, and few open-source options exist for deploying models in an interactive interface. Experimenting with different deep learning approaches typically requires switching software libraries and reprocessing data, reducing the feasibility and practicality of experimenting with new architectures. We developed a flexible deep learning library for histopathology called Slideflow, a package which supports a broad array of deep learning methods for digital pathology and includes a fast whole-slide interface for deploying trained models. Slideflow includes unique tools for whole-slide image data processing, efficient stain normalization and augmentation, weakly-supervised whole-slide classification, uncertainty quantification, feature generation, feature space analysis, and explainability. Whole-slide image processing is highly optimized, enabling whole-slide tile extraction at 40x magnification in 2.5 s per slide. The framework-agnostic data processing pipeline enables rapid experimentation with new methods built with either Tensorflow or PyTorch, and the graphical user interface supports real-time visualization of slides, predictions, heatmaps, and feature space characteristics on a variety of hardware devices, including ARM-based devices such as the Raspberry Pi.
Expansion and diversity of caspases in Mytilus coruscus contribute to larval metamorphosis and environmental adaptation
Authors: Cao Yanfei , Xu Linxiang , Xiong Xinwei , Liu Xiao
Published: March 2024

Background

Apoptosis is involved (directly and indirectly) in several physiological processes including tissue remodeling during the development, the turnover of immune cells, and a defense against harmful stimuli. The disordered apoptotic process participates in the pathogenesis of various diseases, such as neoplasms, and chronic inflammatory or systemic autoimmune diseases, which are associated with its inadequate regulation. Caspases are vital components of the apoptotic pathway that are involved in developmental and immune processes. However, genome-wide identification and functional analysis of caspase have not been conducted in Mytilus coruscus, which is an economically important bivalve.

Results

Here, 47 caspase genes were identified from the genomes of M. coruscus, and the expansion of caspase-2/9 and caspase-3/6/7 genes were observed. Tandem duplication acts as an essential driver of gene expansion. The expanded caspase genes were highly diverse in terms of sequence, domain structure, and spatiotemporal expression profiles, suggesting their functional differentiation. The high expression of the expanded caspase genes at the pediveliger larvae stage and the result of apoptosis location in the velum suggest that the apoptosis mediated by them plays a critical role in the metamorphosis of M. coruscus larvae. In gill, caspase genes respond differently to the challenge of different strains, and most caspase-2/9 and caspase-3/6/7 genes were induced by copper stress, whereas caspase-8/10 genes were suppressed. Additionally, most caspase genes were upregulated in the mantle under ocean acidification which could weaken the biomineralization capacity of the mantle tissue.

Conclusions

These results provide a comprehensive overview of the evolution and function of the caspase family and enhanced the understanding of the biological function of caspases in M. coruscus larval development and response to biotic and abiotic challenges.
Inoculation of heavy metal resistant bacteria alleviated heavy metal-induced oxidative stress biomarkers in spinach (Spinacia oleracea L.)
Authors: Jamil Muhammad , Malook Ijaz , Rehman Shafiq Ur , Aslam Muhammad Mudasar , Fayyaz Muhammad , Shah Gulmeena , Kaplan Alevcan , Khan Muhammad Nauman , Ali Baber , Roy Rana , Ercisli Sezai , Harakeh Steve , Moulay Mohammed , Javed Muhammad Ammar , Abeed Amany H. A.
Published: March 2024

Most vegetable crops are severely affected by the uptake of heavy metals from the soil. Heavy metals in vegetable bodies generate reactive oxygen species (ROS) that unbalance the antioxidant defense system. This study was initiated to determine the physiological and biochemical characteristics of spinach plants grown on soil contaminated with heavy metals and responding to Bacillus cereus and Bacillus aerius were isolated from soil contaminated with heavy metals. Heavy metal contamination led to a significant reduction in seed germination, seedling biomass, protein, and total nitrogen content of spinach plants grown in contaminated soils compared to control soils. In contrast, a significant increase in the content of metallothioneins and antioxidant enzymes was observed. Plants inoculated with B. cereus and B. aerius significantly reduced the oxidative stress induced by heavy metals by improving seed germination (%), seedling growth, nitrogen, and protein content. The content of metallothioneins and the activities of antioxidant enzymes were reduced in spinach plants grown from seeds inoculated with bacterial strains. In addition, plants inoculated with, B. cereus and B. aerius showed greater stomata opening than plants grown on soil contaminated with heavy metals, whose stomata were almost closed. These results suggested that both bacterial strains enhanced plant growth by reducing oxidative stress caused by metals.
‘In the shower crying…but we came back in the following day and did it all again’. Distress and resilience in care home staff during the COVID-19 pandemic– A qualitative interview study
Authors: Cockshott Zoë , Russell Siân , Stocker Rachel , Knight Jo , Mason Suzanne , Hanratty Barbara , Preston Nancy
Published: March 2024

Background

Care homes (long-term care facilities) were profoundly impacted early in the COVID-19 pandemic, both in terms of resident mortality and restrictions for infection control. This study investigated the impact on the emotional well-being of care home staff of challenges faced at this time, and the strategies used to manage them.

Methods

Semi-structured interviews conducted October 2020-June 2021 with care home staff and health service staff working with them explored the impact of the early waves of the COVID-19 pandemic (March 2020-June 2021). Interview data were analysed using reflexive thematic analysis.

Results

Interview participants were 16 care home staff and 10 health service staff. Analysis generated four key themes: 1)Anxiety and distress, 2)Overwhelming workload, 3)Pulling through; and 4)Resilience in a time of crisis. Care home staff experienced Anxiety and distress due to uncertainty of what to expect; witnessing illness and deaths of residents; concerns regarding their own health, and sometimes feeling their work was under-recognised. They also experienced an Overwhelming workload due to infection control measures, caring for sick residents and reduction in external healthcare support. Our theme of Pulling through reflects the peer support and problem-solving strategies with which care home staff managed the impact of the pandemic, along with a sense of responsibility and meaning towards their work. An overarching theme of Resilience in a time of crisis drew on the other three themes and describes how many staff managed, maintained, and often increased their work despite the challenges of the pandemic. Participants also described increasing emotional fatigue as the pandemic continued.

Conclusions

This paper builds on literature on the emotional impact of the pandemic on care home staff, also exploring ways that staff responded to this impact. These findings can help inform planning for future crises including disease outbreaks, and raise important questions for further work to develop pandemic preparedness in care homes and beyond. They also raise wider questions about the current cultural status of care work, which may have exposed care home staff to greater risk of distress, and which contrasts with the professionalism and responsibility shown by staff in response to pandemic challenges.
Exploring the implementation of an SMS-based digital health tool on maternal and infant health in informal settlements
Authors: Ochieng’ Sharon , Hariharan Nisha , Abuya Timothy , Okondo Chantalle , Ndwiga Charity , Warren Charlotte E. , Wickramanayake Anneka , Rajasekharan Sathyanath
Published: March 2024

Background

The rapid urbanization of Kenya has led to an increase in the growth of informal settlements. There are challenges with access to maternal, newborn, and child health (MNCH) services and higher maternal mortality rates in settlements. The Kuboresha Afya Mitaani (KAM) study aimed to improve access to MNCH services. We evaluate one component of the KAM study, PROMPTS (Promoting Mothers through Pregnancy and Postpartum), an innovative digital health intervention aimed at improving MNCH outcomes. PROMPTS is a two-way AI-enabled SMS-based platform that sends messages to pregnant and postnatal mothers based on pregnancy stage, and connects mothers with a clinical help desk to respond and refer urgent cases in minutes.

Methods

PROMPTS was rolled out in informal settlements in Mathare and Kawangware in Nairobi County. The study adopted a pre-post intervention design, comparing baseline and endline population outcomes (1,416 participants, Baseline = 678, Endline = 738). To further explore PROMPTS's effect, outcomes were compared between endline participants enrolled and not enrolled in PROMPTS (738 participants). Outcomes related to antenatal (ANC) and postnatal (PNC) service uptake and knowledge were assessed using univariate and multivariate linear and logistic regression.

Results

Between baseline and enldine, mothers were 1.85 times more likely to report their babies and 1.88 times more likely to report themselves being checked by a provider post-delivery. There were improvements in moms and babies receiving care on time. 45% of the 738 endline participants were enrolled in the PROMPTS program, with 87% of these participants sending at least one message to the system. Enrolled mothers were 2.28 times more likely to report completing four or more ANC visits relative to unenrolled mothers. Similarly, enrolled mothers were 4.20 times more likely to report their babies and 1.52 times more likely to report themselves being checked by a provider post-delivery compared to unenrolled mothers.

Conclusions

This research demonstrates that a digital health tool can be used to improve care-seeking and knowledge levels among pregnant and postnatal women in informal settlements. Additional research is needed to refine and target solutions amongst those that were less likely to enroll in PROMPTS and to further drive improved MNCH outcomes amongst this population.
What factors influence couples’ decisions to have children? Evidence from a systematic scoping review
Authors: Ranjbar Mohammad , Rahimi Mohammad Kazem , Heidari Edris , Bahariniya Sajjad , Alimondegari Maliheh , Lotfi Mohammad Hasan , Shafaghat Tahereh
Published: March 2024

Background

One of the most significant demographic challenges over the past three decades has been the substantial reduction in fertility rates, worldwidely. As a developing country, Iran has also experienced a rapid decline in fertility over the past decades. Understanding factors influencing fertility is essential for development programs. Moreover, it’s crucial to study the parameters that affect the intention for childbearing in any society. Therefore, through a systematic scoping review, the present study investigates the factors influencing couples’ decisions toward childbearing.

Methods

This study was a systematic scoping review conducted in 2023. To design and conduct this scoping review, Joanna Briggs Institute’s Protocol (Institute TJB, The Joanna Briggs Institute Reviewers ’ manual 2015; methodology for JBI scoping reviews, 2015) was used and the framework presented by Levac et al. (2010) was also used as a guide for conducting this review. Studies were searched in three main databases including ISI Web of Sciences, PubMed, and Scopus, using a predefined search strategy. Google Scholar was also used for complementary search. The search period was from 2002 to 2022.

Results

A total of 18,454 studies were identified across three primary databases. After evaluating articles in three distinct phases based on title, abstract, and full-text, 46 articles were deemed eligible for inclusion in the scoping review. The qualitative analysis of the collected data from the selected studies through the scoping review led to classifying factors influencing households’ desire for childbearing into eight main themes and 101 sub-themes. The main themes associated with factors impacting households’ intention for childbearing encompass individual determinants, demographic and familial influencing factors, cultural elements, social factors, health-related aspects, economic considerations, insurance-related variables, and government support/incentive policies.

Conclusions

Comprehensive and holistic attention from governments and officials toward the various factors affecting households’ intention and behavior regarding childbearing appears beneficial and effective. Furthermore, given the relative ineffectiveness of some of the current government’s supportive/incentive policies to increase couples’ desire for childbearing, it seems necessary to review and amend these policies. This review should address the most significant challenges and factors contributing to couples’ reluctance to childbearing or strengthen factors that can play a substantial role in fostering fertility and childbearing desires.
Transarterial chemoembolization with molecular targeted therapies plus camrelizumab for recurrent hepatocellular carcinoma
Authors: Hou Changlong , Xiong Baizhu , Zhou Lei , Fei Yipeng , Shi Changgao , Zhu Xianhai , Xie Tao , Wu Yulin
Published: March 2024

Background

The safety and efficacy of transarterial chemoembolization plus molecular targeted therapy (MTT) combined with immune checkpoint inhibitors (ICIs) in primary liver cancer have been demonstrated. However, the evidence for TACE plus MTT combined with ICIs in the treatment of recurrent hepatocellular carcinoma (RHCC) is limited. Given the excellent performance of this combination regimen in primary liver cancer, it is necessary to evaluate the efficacy of TACE plus MTT combined with ICIs in RHCC.

Methods

A total of 88 patients with RHCC treated with TACE plus MTT combined with camrelizumab (TACE-TC group, n = 46) or TACE plus MTT (TACE-T group, n = 42) were retrospectively collected and analyzed. In this study, we evaluated the effectiveness and safety of combination therapy for patients with RHCC by analyzing tumor response, progression-free survival (PFS), overall survival (OS), laboratory biochemical indices, and adverse events (AEs).

Results

TACE-TC was superior to TACE-T in PFS (14.0 vs. 8.9 months, p = 0.034) and OS (31.1 vs. 20.2 months, p = 0.009). Moreover, TACE-TC achieved more preferable benefits with respect to disease control rate (89.1% vs. 71.4%, p = 0.036) and objective response rate (47.8% vs. 26.2%, p = 0.036) compared with TACE-T in patients with RHCC. Compared with the TACE-T group, the AFP level in the TACE-TC group decreased more significantly after 3 months of treatment. Multivariate analysis showed that treatment option was a significant predictor of OS and PFS, while the portal vein tumor thrombus and interval of recurrence from initial treatment were another prognostic factor of PFS. There was no significant difference between the TACE-TC and TACE-T groups for Grade 3–4 adverse events.

Conclusions

A combination therapy of TACE, MTT, and camrelizumab significantly improved tumor response and prolonged survival duration, showing a better survival prognosis for RHCC patients.
Subfoveal choroidal thickness in a general elderly population; Tehran geriatric eye study
Authors: Hashemi Alireza , Nabovati Payam , Mortazavi Abolghasem , Hashemi Hassan , Khabazkhoob Mehdi
Published: March 2024

Purpose

To determine the distribution of subfoveal choroidal thickness (SFCT) and its associated demographic, ocular, and systemic factors in an elderly population.

Methods

This report is part of the Tehran Geriatric Eye Study (TGES); a population-based cross-sectional study that was conducted on the urban elderly population of Tehran, aged 60 years and above using multi-stage stratified random cluster sampling. Choroidal imaging was performed using Spectralis SD-OCT with enhanced depth imaging mode.

Results

The average SFCT was 265.3 ± 25.9 μm (95% CI: 262.8-267.7) in the whole sample. According to the multiple generalized estimating equation (GEE) model, pseudophakia had a statistically significant direct relationship with SFCT (coefficient = 5.69), and history of cerebrovascular accident (CVA) was significantly inversely related to SFCT (coefficient=-4.77). Moreover, there was a significant interaction between age and sex in the average SFCT so that with increasing age, the SFCT increased in men and decreased in women.

Conclusion

The normal values of SFCT in the present study can be used as a reference database for clinical and research purposes. Age-sex interaction, pseudophakia, and history of CVA were significantly associated with SFCT in the elderly population. It is recommended that these factors be taken into account when interpreting SFCT data.
Linkages between the Sustainable Development Goals and health in Somalia
Authors: Adem Rage , Nor Hassan W. , Fuje Mohamed M. , Mohamed Abdinur H. , Alfvén Tobias , Wanyenze Rhoda K. , Guled Ahmed Y. , Biday Mohamed M. , Viberg Nina , Helldén Daniel
Published: March 2024

Background

The Sustainable Development Goals (SDGs) adopted in 2015 compromises 17 universal and indivisible goals for sustainable development, however the interactions between the SDGs in Somalia is not known which is vital for understanding potential synergies and trad-offs between the SDGs. Hence, this study aims to identify and classify the linkages between the SDGs with a focus on health and well-being (SDG 3) in Somalia.

Methods

Following the SDG Synergies approach, 35 leading experts from the public and private sectors as well as academia and civil society gathered for a 2-day workshop in Mogadishu and scored the interactions between the individual SDGs on a seven point-scale from − 3 to + 3. From this, a cross-impact matrix was created, and network models were used to showcase the direct and indirect interactions between the SDGs with a focus on SDG 3 (good health and well-being).

Results

Many promoting and a few restricting interactions between the different SDGs were found. Overall, SDG 16 (peace, justice, and strong institutions) influenced the other SDGs the most. When second-order interactions were considered, progress on SDG 16 (peace, justice, and strong institutions) showed the largest positive impact on SDG 3 (good health and well-being). SDG 3 (good health and well-being) was heavily influenced by progress on other SDGs in Somalia and making progress on SDG 3 (good health and well-being) positively influenced progress on all other SDGs.

Conclusion

The findings revealed that in Somalia, the interactions between the SDGs are mostly synergistic and that SDG 16 (peace, justice, and strong institutions) has a strong influence on progress on other SDGs as well as progress on SDG 3 (good health and well-being). This study highlights the need for a multisectoral strategy to accelerate progress on the SDGs in Somalia in general, and particularly SDG 3 (good health and well-being).
Healing of induced tongue defects using erythropoietin hydrogel (an experimental study on rats)
Authors: Ata Fatma , El-Qashty Rana , Farid Meran , Youssef Jilan
Published: March 2024

Background

Tongue is complex muscular organ that may be affected by recurrent or chronic ulcerations and malignances that require effective treatment to enhance healing and tissue regeneration. So, this study aimed to evaluate the efficiency of erythropoietin (EPO) hydrogel as an anti-inflammatory and an inducer of neovascularization during healing of induced rats’ tongue defects.

Methods

Thirty six rats were divided into three groups; Group I (negative control): tongues were left without ulceration and received no treatment, Group II (positive control): tongue defects were prepared on the tongues’ dorsal surfaces, measuring (5 mm × 2 mm) using a tissue punch rotary drill for standardization, and left untreated, Group III (EPO group): tongue defects were prepared as in group II, then injected circumferentially around wound margins with a single high dose of EPO hydrogel of 5000 U/kg on the day of defect preparation. Animals were euthanized on seventh and fourteenth days after treatment, tongue specimens were collected, and paraffin blocks were prepared and processed for histological assessment by hematoxylin and eosin stain and immunohistochemical evaluation of anti-iNOS and anti-VEGF followed by histomorphometrical analysis and the relevant statistical tests.

Results

At both time points, the EPO treated group showed significantly enhanced tissue regeneration marked by the histologically better regenerated tissue with well developed, thick walled and well-organized blood vessels and significant reduction in defect depth compared to positive control group. EPO group also showed significant decrease in iNOS and significant increase in VEGF antibodies indicating its anti-inflammatory and neovascularization effects respectively.

Conclusion

EPO treatment can significantly accelerate regeneration and filling of tongue defects by reducing tissue inflammation and enhancing neovascularization. Therefore, EPO could be a potential therapeutic strategy for accelerating healing of tongue ulcers. However, further investigations are required to optimize the dose and unravel any potential side effects before its clinical application.
Translating proteome and transcriptome dynamics of periodontal ligament stem cell-derived secretome/conditioned medium in an in vitro model of periodontitis
Authors: Suh Han Na , Ji Ju Young , Heo Jung Sun
Published: March 2024

Background

Periodontal ligament stem cells (PDLSCs) have been proposed as therapeutic candidates in periodontal diseases and periodontium defects. Paracrine factors of PDLSCs, namely, secretome, can contribute to tissue regeneration comparable to direct stem cell application. This study explored restoration effects of PDLSC-derived secretome/conditioned medium (PDLSC-CM) on PDLSCs themselves in an inflammatory microenvironment and identified its action mechanisms using proteomics and transcriptomic profiling.

Methods

PDLSC-CM was prepared from cells under healthy culture conditions. Mass spectrometry and liquid chromatography–tandem mass spectrometry (LC–MS/MS) were then performed to analyze the PDLSC-CM proteome. Osteogenic differentiation of PDLSCs under inflammatory conditions or in the presence of PDLSC-CM was then characterized in assays of alkaline phosphatase activity, intracellular calcium levels, protein expression of osteogenic markers, and matrix mineralization. Furthermore, the transcriptomic profile was assessed to identify significantly enriched signaling pathways and associated molecular networks by RNA sequencing.

Results

LC–MS/MS proteomics identified a total of 203 proteins and distinguished 187 significant protein changes in PDLSC-CM compared to control-CM. LPS-treated PDLSCs significantly attenuated osteogenic differentiation. When PDLSCs were treated with PDLSC-CM alone, their osteogenic activity was significantly upregulated compared to the control group. Moreover, the LPS-impaired osteogenesis of PDLSCs was reconstituted by PDLSC-CM treatment. RNA sequencing revealed 252, 1,326, and 776 differentially expressed genes in the control vs. LPS, control vs. PDLSC-CM, and LPS vs. LPS + PDLSC-CM groups, respectively.

Conclusion

This study suggest that PDLSC-CM restores the osteogenic potential of PDLSCs in an inflammatory environment through secretory functions representing potential repair and regenerative mechanisms.
A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests
Authors: Momeni Mehri , Afkanpour Marziyeh , Rakhshani Saleh , Mehrabian Amin , Tabesh Hamed
Published: March 2024

Background

The pharmaceutical industry is continually striving to innovate drug development and formulation processes. Orally disintegrating tablets (ODTs) have gained popularity due to their quick release and patient-friendly characteristics. The choice of excipients in tablet formulations plays a critical role in ensuring product quality, highlighting its importance in tablet creation. The traditional trial-and-error approach to this process is both expensive and time-intensive. To tackle these obstacles, we introduce a fresh approach leveraging machine learning and deep learning methods to automate and enhance pre-formulation drug design.

Methods

We collected a comprehensive dataset of 1983 formulations, including excipient names, quantities, active ingredient details, and various physicochemical attributes. Our study focused on predicting two critical control test parameters: tablet disintegration time and hardness. We compared a range of models like deep learning, artificial neural networks, support vector machines, decision trees, multiple linear regression, and random forests.

Results

A 12-layer deep neural network, as a form of deep learning, surpassed alternative techniques by achieving 73% accuracy for disintegration time and 99% for tablet hardness. This success underscores its efficacy in predicting complex pharmaceutical factors. Such an approach streamlines the drug formulation process, reducing iterations and material consumption.

Conclusions

Our findings highlight the deep learning potential in pharmaceutical formulations, particularly for tablet hardness prediction. Future work should focus on enlarging the dataset to improve model effectiveness and extend its application in pharmaceutical product development and assessment.
Health characteristics and factors associated with transition shock in newly graduated registered nurses: a latent class analysis
Authors: Wang Pan , Zhou Juan , Shen Xin , Ge Yaping , LI Yanran , Ge Hui , LI Shuwen
Published: March 2024

Background

Transition shock occurs at a vulnerable time in newly graduated registered nurses’ careers and has a clear impact on both newly graduated registered nurses’ productivity and patient recovery outcomes. Identifying classification features of transition shock and targeting interventions to support newly graduated registered nurses is imperative. The study aimed to explore potential transition shock subgroups of newly graduated registered nurses and further explore the impact of population characteristics and two indices of health on transition shock.

Methods

A descriptive, cross-sectional design was conducted. An online questionnaire was sent via WeChat to newly graduated registered nurses who started work in 2021 at seven hospitals between August and November 2021, and 331 nurses filled out the questionnaire. Latent class analysis was used to identify the potential class of the transition shock of newly graduated registered nurses, and multinomial logistic regression analyses were used to determine the factors of potential classification.

Results

The study identified four classes of transition shock in newly graduated registered nurses, namely, “high transition shock”, “physical fatigue-lack of knowledge”, “development adaptation” and “low transition shock-worry” groups. Newly graduated registered nurses who urinated less than 4 times per day (OR = 0.051, 95% CI = 0.005–0.502) were likely to be in the “high transition shock” group. Newly graduated registered nurses who did not delay urination (OR = 4.267, 95% CI = 1.162–11.236) were more likely to belong to the “low transition shock-worry” group. Newly graduated registered nurses without sleep disturbance were more likely to be in the “physical fatigue - lack of knowledge” (OR = 3.109, 95% CI = 1.283–7.532), “development adaptation” (OR = 8.183, 95% CI = 2.447–27.066), and “low transition shock-worry” (OR = 8.749, 95% CI = 1.619–47.288) groups than in the ‘high transition shock’ group.

Conclusions

This study highlights potential patterns of transition shock among newly graduated registered nurses. Two indices of health, namely, delayed urination and sleep disturbance, can predict the subgroups of newly graduated registered nurses with transition shock.
Nurses’ perceptions, experience and knowledge regarding artificial intelligence: results from a cross-sectional online survey in Germany
Authors: Sommer Domenic , Schmidbauer Lukas , Wahl Florian
Published: March 2024

Background

Nursing faces increasing pressure due to changing demographics and a shortage of skilled workers. Artificial intelligence (AI) offers an opportunity to relieve nurses and reduce pressure. The perception of AI by nurses is crucial for successful implementation. Due to a limited research state, our study aims to investigate nurses’ knowledge and perceptions of AI.

Methods

In June 2023, we conducted a cross-sectional online survey of nurses in Bavaria, Germany. A convenience sample via care facilities was used for the questionnaire oriented on existing AI surveys. Data analysis was performed descriptively, and we used a template analysis to evaluate free-text answers.

Results

114 (♀67.5 %, ♂32.5 %) nurses participated. Results show that knowledge about AI is limited, as only 25.2 % can be described as AI experts. German nurses strongly associate AI with (i) computers and hardware, (ii) programming-based software, (iii) a database tool, (iv) learning, and (v) making decisions. Two-thirds of nurses report AI as an opportunity. Concerns arise as AI is seen as uncontrollable or threat. Administration staff are seen as the biggest profiteers.

Conclusion

Even though there is a lack of clear understanding of AI technology among nurses, the majority recognizes the benefits that AI can bring in terms of relief or support. We suggest that nurses should be better prepared for AI in the future, e.g., through training and continuing education measures. Nurses are the working group that uses AI and are crucial for implementing nursing AI.
Drivers of vulnerability to medicine smuggling and combat strategies: a qualitative study based on online news media analysis in Iran
Authors: Fakhrzad NourolHoda , Yazdi-Feyzabadi Vahid , Fakhrzad Maryam
Published: March 2024

Background

Medicine smuggling poses a serious public health threat, limiting patients’ safe and timely access to this essential resource. Thus, this study aims to identify the factors contributing to the vulnerability to medicine smuggling and propose effective strategies to combat this issue in Iran.

Methods

An analysis of news media was conducted using qualitative content analysis. News text items related to medicine smuggling were retrieved from various online news sources between March 21, 2017, and May 21, 2023. To select health-oriented and general online news stations, news agencies, and newspapers, the purposeful sampling method with a maximum variation strategy was used. The selected sources included Mehr News Agency, Khabar Online, Islamic Consultative Assembly News Agency (ICANA), Islamic Republic News Agency (IRNA), Iranian Students News Agency (ISNA), Hamshahri, Donya-e-Eqtesad newspapers, Webda, Sepid Online, and Iran’s Food and Drug Administration News Agency (IFDANA). All data coding was manually done using Microsoft Excel software version 2016.

Results

A total of 277 news articles were found to meet the established criteria for inclusion. The analysis revealed four main themes, each with several sub-themes, that shed light on the factors that drive vulnerability and the strategies to combat medicine smuggling. These themes are the economic environment, government and stewardship, information technology systems, and socio-cultural factors. The economic environment emerged as the most significant theme, encompassing medicine selection, reimbursement, and procurement, all of which affect the smuggling of pharmaceuticals in Iran.

Conclusion

To combat medicine smuggling, it is important to adjust policies based on the identified vulnerabilities. Effective strategies to reverse pharmaceutical smuggling include capacity building of pharmaceutical manufacturing companies, implementing regulated and enhanced supervisory and rulemaking policies, strengthening health insurance, improving e-infrastructure, and increasing public awareness through collaborative approaches involving various stakeholders within and outside the health system.