bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Communication Skills Training Program on Staff Nurses' Workplace Deviant Behavior
Authors: Kazamel Soaad H. , Shazly Mona M. , Sayed Samah M. El 
Published: November 2024

Abstract

Background
Communication skills are of major importance in the nursing practice, with important positive impacts on patients’ outcomes and reduce workplace deviance behaviors.
Aim
This study aimed at assessing effect of communication skills training program on staff nurses' workplace deviant behavior.
Methods
The study was conducted at non critical units of Ain-Shams University Hospital using quasi-experimental one-group pretest-posttest design. The subjects of this study included all staff nurses who are working at the pre mentioned setting during the data collection period. The study sample was 130 staff nurses. The data were collected by using three tools namely; communication skills knowledge questionnaire, observational checklist and nursing workplace deviance behavior questionnaire.
Results
In comparison to the pre-intervention phase, the study showed a highly statistically significant improvement in staff nurses' overall knowledge of communication and workplace deviant behaviors in the post and follow-up phases (p < 0.01). Additionally, compared to the pre-intervention period, there was a highly statistically significant improvement in the communication practices of staff nurses in the post and follow-up phases (p < 0.01). Furthermore, compared to the pre-intervention period, there was a highly statistically significant decrease in the workplace deviant behavior of staff nurses in the post and follow-up phases (p < 0.01).
Conclusion
Implementing a communication skills training program for staff nurses is effective to reduce their workplace deviant behavior. Based on the study findings, it was recommended to provide nurses with training programs focused on communication skills. Develop and communicate clear policies regarding acceptable behavior and workplace standards.
Exploring the immune characteristics of HPV-positive HNSCC patients based on bioinformatics research and identifying SERPINE1 as a key factor affecting the prognosis of HNSCC patients with HPV
Authors: Guo Xinyue , Jin Wei , Zhang Chenyu , Teng Yujian , Liu Xiaotong , Ye Lei , Yang Zhenming , Ji Linhao , Wang Jinpeng , Zhai Yujia , Sun Yanan , Liu Ming , Zhao Rui 
Published: November 2024

Abstract

Background
Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer worldwide with an increasing trend of its incidence. Human papillomavirus (HPV) positive HNSCC patients generally have a favorable survival and a promising responsiveness to radiotherapy, chemoradiotherapy and checkpoint blockades. However, the immunological characteristics of HPV-positive patients and the reasons for their better prognosis have not yet been fully elucidated.
Methods
Two public datasets (GSE3292 and TCGA-HNSC) originate from the NCBI Gene Expression Omnibus (GEO) database and The Cancer Genome Atlas. We first analyzed the tumor immune infiltration level and tumor mutation load of HPV + HNSCN patients in TCGA-HNSC. Subsequently, differentially expressed genes were analyzed by the R software limma package. Besides, we use weighted gene co-expression network analysis (WGCNA) to identify the gene modules that may be most relevant to HPV + HNSCC. Gene set enrichment analysis (GSEA) was performed using the differentially expressed genes, all the genes that may be most relevant to HPV that we are interested in HPV + HNSCC were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genomes (KEGG). Furthermore, a protein-protein interaction (PPI) network was constructed to investigate hub genes. Immunohistochemistry was used to verify the selected gene. Drugs and molecular compounds that could interact with hub genes were predicted using the DGIdb.
Results
We found that compared with HPV-HNSCC, HPV + HNSCC patients have higher immune cell scores. After integrating significantly differentially expressed genes from different datasets and key genes related to HPV modules, we found that 10 genes represented by SERPINE1 may be closely associated with HPV + HNSCC and immune infiltration. The results of immunohistochemistry showed that the expression of this gene was significantly reduced in HPV + HNSCC patients, suggesting that our gene may be a key factor influencing the prognosis of HPV + HNSCC patients.
Conclusions
We found the downregulation of a series of genes represented by SERPINE1 may be related to better prognosis in HPV + HNSCC patients. Research on the SERPINE1 gene pathway may bring new treatment methods to HNSCC emphasizing its implements in the therapeutic choices of HPV-negative HNSCC patients, the majority and the poor outcome population of HNSCC.
Students’ motivation, study effort and perceptions of teachers’ goals when engaging in a learning design within the flipped classroom
Authors: Torbergsen Hanne , Paulsby Tove Engan , Haugan Gørill , Utvær Britt Karin 
Published: November 2024

Abstract

Background
A bachelor’s degree in nursing at a large university in Norway has designed and developed a specific learning design within a flipped classroom to engage and motivate nursing students in their learning of CPR. This specific learning design is perceived as a whole unit and consists of two preclass activities and two in-class activities. The four learning activities are multiple choice questions, skills training with RQI (resuscitation quality improvement), and team-based learning and simulation. The pedagogical purpose of this specific design was to engage and motivate students to learn CPR and to facilitate progression in the students’ learning during the three academic years of the nursing programme.
Aims
To investigate the associations between nursing students’ autonomous motivation when performing four learning activities in a flipped classroom design and their perceptions of teachers’ goals, study efforts and perceived learning outcomes.
Methods
Quantitative data were tested via stepwise regression analysis. Using a cross-sectional design, data were collected from 374 nursing students. Three hypotheses of the associations between nursing students’ autonomous motivation when performing four learning activities in the flipped classroom learning design and their perceptions of teachers’ goals, study efforts and perceived learning outcomes.
Results
There are strong associations between students’ perceptions of teachers’ goals and study effort and their perceived learning outcomes when they perform the four learning activities. The correlations between students’ autonomous motivation to perform the four learning activities and their perceived learning outcome in CPR are positive and significant.
Conclusion
This study provides empirical knowledge of the impact of four learning activities on students’ autonomous motivation and their perceived learning outcome. Based on the results of this study, the use of a learning design containing preclass and in-class activities influences and supports nursing students’ learning processes.
Improvement of The Target Detection in Through Wall Imaging (TWI) Using Elimination of The Back-Wall
Authors: Taslimi Mehran , Ebrahimzadeh Ataollah , Zakeri Bijan , Andargoli Seyed Mehdi Hesseini 
Published: November 2024

Abstract

One of the most important challenges in Through Wall Imaging (TWI) radar is improving the ability of targets detection. Effect of the side walls and back wall are an important factors that reduce the objects detection. The side walls and back wall create the multi-path signals so ghost targets is generated in the reconstructed image. This phenomena reduces the ability of imaging algorithm to detect real targets. In this article, first a real model of the simulation space is implemented using finite difference time domain (FDTD) numerical method. In order to reduce the reflection of low frequency harmonics from convolutional perfectly matched layers (CPMLs), CPMLs parameters are optimized using artificial bee colony (ABC) algorithm. Then, based on the aspect dependence (AD) feature of multi-path signal, a suitable algorithm is presented to identify the peaks related to each target. The time value corresponding to the peak of each target is stored and the ratio of variance to average value is obtained. If this value is between zero and one, the extracted target is the back wall. Elimination of the back wall increases the ability to detect objects with a low reflection coefficient and improves the performance of the imaging algorithm such as back projection (BP).
Enhancing CNN-Attention-LSTM with Novel LSTM Gate Mechanism: Evaluation on Benchmark and Brain Tumor Imaging Datasets
Authors: Rawat Usha , Rai C. S. 
Published: November 2024

Abstract

This work introduces the gating mechanisms of the Long Short-Term Memory (LSTM) architecture, proposing an innovative architecture. Traditionally, LSTM models control information flow and address gradient vanishing and explosion problems by incorporating sigmoid and tanh activation functions into their input, forget, and output gates. In earlier studies, the sigmoid function was modified with keeping and discarding of relevant and irrelevant information, respectively, and the tanh function was adjusted to solve the gradient problem. These methods have, however, usually only focused on one of the functions, leaving an opportunity for additional optimization. This work provides a novel method that combines changes to the sigmoid and tanh functions inside the LSTM gates. This dual adjustment is meant to maximise the benefits of both improved gradient stability and increased information gating. Prior to the LSTM model, it included a CNN layer to extract and remove irrelevant data. The attention layer focusses on the most essential features. By combining the advantages of LSTMs for temporal dependency control, attention layer with the query and key values for focusing on the relationship between the different neighbourhood pixels and CNNs for handling spatial data, this combination creates a strong hybrid model (CNN-attention-LSTM). It performs extensive evaluations on benchmark datasets, such as Fashion MNIST, MNIST, and CIFAR-10, to check the impact of the proposed approach. When compared to previously proposed models with different activation functions, our results show improved accuracy and lower loss. To verify the applicability and generalisability of our model in an essential domain, it further extends the evaluation to a medical dataset, namely the brain tumor dataset in NIfTI format. The experimental results confirm that the hybrid CNN-attention-LSTM model and novel activation functions provide enhanced stability in gradient propagation in addition to higher accuracy.
Efficacy of p62-expressing plasmid in treatment of canine osteoarthritis
Authors: Gabai Vladimir , Bakin Evgeny , Langs Maxim Harold , Delvin Robert , Krasny Sergei , Baranau Yauheni , Polyakov Sergey , Patapovich Maksim , Gvozdev Sergey , Kardash Maksim , Bazyleuski Aliaksei , Yeliseyeu Andrei , Lelikov Egor , Barodka Andrei , Shneider Alexander 
Published: November 2024

Abstract

Introduction: Osteoarthritis (OA) is a progressive degenerative disease of synovial joints which is highly prevalent in dogs and results in lameness, loss of joint function and mobility, chronic pain, and reduced quality of life. Traditional OA management consist of non-steroidal anti-inflammatory drugs and remains challenging because of significant side effects, thus there is an urgent need for new effective and safe therapeutics for OA.
Methods: Here we present the results of our one-arm open-label pilot clinical study of our novel biologics, a DNA plasmid encoding SQSTM/p62, in 17 companion dogs suffering from OA. The dogs were injected intramuscular with p62-plasmid once a week for 10 weeks, and pain relief was measured using the CBPI (canine brief pain inventory) validated scale. Assessment by the owners was done weekly. The 11 parameters of CBPI are grouped in three major domains: pain severity score (PSS), pain interference score (PIS) and overall impression of the quality of life (QoL).
Results: Treatment with the p62-plasmid improved all 11 parameters of CBPI as well as PSS, PIS and QoL: mean PSS score after the treatment decreased from 5.25 to 3.25, PIS score - from 7.0 to 3.27, and number of dogs with excellent and good QoL due to treatment increased from 1 to 12. Overall, the treatment success rate (i.e. a reduction >1 in PSS and > 2 in PIS) was 90%. Importantly, similar to our previous studies with dogs and humans, no significant side effects of the p62-plasmid during the whole treatment period were observed.
Discussion: We believe that anti-inflammatory effects of the p62-plasmid, which we described in our previous works, may play an important role in observed clinical benefits and it is worthy of further studies as a novel OA treatment modality.
States’ dependence on carbon dioxide removal jeopardises Paris targets
Authors: Stuart-Smith Rupert , White Ewan , Prütz Ruben , Rogelj Joeri , Wetzer Thom , Wood Marianne , Rajamani Lavanya 
Published: November 2024

Abstract

Achieving the Paris Agreement’s long-term temperature goal of limiting global warming well-below 2°C while pursuing efforts to limit it to 1.5°C requires rapid and sustained reductions in greenhouse gas emissions and CO2 to be withdrawn from the atmosphere and safely stored. However, pathways consistent with the Paris long-term temperature goal span a wide range of emission reductions in coming years: the IPCC indicates 34-60% cuts in greenhouse gas (GHG) emissions in 2030 relative to 2019. This range is a major source of policy uncertainty. A key determinant of the rate at which emissions must be reduced this decade is the extent to which CO2 removal (CDR) is relied on to withdraw emissions from the atmosphere.
Nearly a decade after the adoption of the Paris Agreement, we evaluate the dependence on CDR of 71 states, primarily in their near and long-term climate strategies submitted to the UNFCCC by May 2024, and the associated risks. Our analysis finds substantial ambiguities in how states plan to meet their climate targets. A feature of this ambiguity is that states expect to rely heavily on novel and conventional CDR options to meet their climate goals, and in some cases, rely on removals delivered in other states’ territories. Pathways that overshoot 1.5°C and use CDR to remove emissions produced in excess of the 1.5°C-aligned carbon budget will result in more severe climate change impacts and higher risks of crossing planetary tipping points. Moreover, states’ disclosed reliance on CDR is highly exposed to risks to its delivery, and non-delivery of planned CDR would raise global temperatures further, worsening impacts of climate change. Our findings provide a basis for enhanced scrutiny of states’ targets. The risks associated with heavy reliance on CDR to meet climate goals indicate that states should prioritise pathways that minimise overshoot and the reliance on CDR to reach net-zero CO2 emissions.
Oxidative stress-related genes as diagnostic markers for endometriosis and their associated immunoassays
Authors: song yanlun , wu hui , wang jian , huang qiumei , liao siyu , wei yi , ceng changxue , huang yuehua , wang rong , qin haimei , wang junli 
Published: November 2024

Abstract

Purpose
Endometriosis (EMT) affects millions of women worldwide and is closely associated with the body's response to oxidative stress. The role of oxidative stress markers in the diagnosis and treatment of endometriosis is a potentially fruitful avenue of research.
Methods
In this study, we employed a machine learning approach to model and screen key biomarkers, integrating five independent datasets from the Omnibus (GEO) database to construct a comprehensive training set. The identification of key genes was achieved through a process of cross-referencing with the aim of locating those that were differentially expressed and known to be involved in oxidative stress. Nine machine learning algorithms were employed for model selection, followed by the evaluation of immune infiltration and immune correlation through single sample gene set enrichment analysis (ssGSEA) and the CIBERSORT algorithm.
Results
After comparing the performance of different machine learning algorithms, the gradient boosting algorithm (GBM) was selected as the best model. Eventually it screened five featured genes (FOS, CFH, AOX1, FMO1, FCGR2B). The expression patterns of these genes showed diagnostic and predictive potential in the constructed nomograms and external validation. In addition, the association of these genes with pregnancy status and disease severity was explored. The results of immune infiltration analysis showed significant correlation between these key genes and the immune system.
Conclusions
This study identifies genes at the intersection of endometriosis and oxidative stress, thereby providing reliable molecular markers for clinical application. This offers a new avenue for subsequent diagnosis and treatment of endometriosis.
The Benefits and Challenges of Inhabiting the Dual Role of Mother/Leader
Authors: Hasson Julie , Money Kimberly , Sikes Olivia 
Published: November 2024

What does it mean to be a good mother? What does it mean to be an effective school leader? These questions elicit a myriad of answers, illustrating the complex roles of mother and leader. The complexities are magnified for those who inhabit both roles. The purpose of this study was to understand the intersectionality of motherhood and educational leadership through the experiences of women who are mothers and leaders in a public school district in North Carolina. In this qualitative study using a phenomenological approach, a focus group was formed to explore participants’ experiences and perceptions of the benefits and conflicts inherent in maintaining the roles of mother and school leader as well as their perceptions of the non-dichotomous relationship of the two roles. Feminist standpoint theory and work/family border theory were utilized as frameworks to inform study design, data collection, and data analysis. Ideas around gendered roles as well as work/family balance were central in our efforts to understand the lived experiences of each participant. Through analysis of each focus group session, followed by an analysis across group sessions, three themes emerged: 1) emotional challenges 2) mother’s ways of leading, and 3) work-life balance.

Keywords: Mother/Leader, Women in School Leadership, Feminist Standpoint Theory, Intersection of Motherhood and Leadership
THE INVOCATION OF BARAKAH AS A POTENT FORCE OF WELL BEING AMONG THE YORUBA MUSLIMS IN NIGERIA
Authors: Raji Mubin Olatoye 
Published: November 2024

This study explores the invocation of Barakah, a significant aspect of Yoruba Muslim spirituality in Nigeria, and its role as a potent force of well-being. Barakah is a concept deeply rooted in Yoruba Muslim culture, symbolizing divine blessings and spiritual abundance. This study aims to investigate how the invocation of Barakah contributes to the holistic well-being of Yoruba Muslims in Nigeria. Drawing upon qualitative research methods, including interviews, observations, and textual analysis, this study offers an in-depth understanding of the spiritual practices and beliefs associated with the invocation of Barakah. It explores the reasons behind its significance and the impact it has on individuals’ well-being, encompassing physical, mental, and emotional dimensions. The study explores how Yoruba Muslims invoke Barakah through specific rituals such as prayer, recitation of the Qur’an, supplication, seeking intercession of saints and acts of charity. Furthermore, it delves into the belief that Barakah manifests in various aspects of life, including personal relationships, health, finances, and overall success. The findings of this study reveal that the invocation of Barakah acts as a dynamic force in Yoruba Muslim communities, providing spiritual solace, guidance, and a sense of purpose. It emerges as a tool for navigating life’s challenges, fostering resilience, and cultivating gratitude. Moreover, the study brings into fore some anomalies and abuses associated with this practice of invoking Barakah and its implications in the Sharīʽah.
Application of an anaerobic reactor for the treatment of sulfide-rich wastewater using biogas for H2S removal
Authors: Onodera Takashi , Takemura Yasuyuki , Aoki Masataka , Syutsubo Kazuaki 
Published: November 2024

ABSTRACT

Anaerobic treatment of sulfur-rich wastewater is challenging because sulfide greatly inhibits the activity of anaerobic microorganisms, especially methanogenic archaea. We developed an internal phase-separated reactor (IPSR) that removed sulfide prior to methanogenesis by gas stripping using biogas produced in the reactor. The IPSR was fed with synthetic wastewater containing a very high sulfide concentration of up to 6,000 mg S L−1 with a chemical oxygen demand (COD) of 30,000 mg L−1. The IPSR was operated at an organic loading rate of 5–12 kg COD m−3 day−1 at 35 °C. The results show that the sulfide concentration was reduced from 6,000 mg S L−1 in the influent to &lt;700 mg S L−1 in the first-stage effluent. The second-stage effluent contained &lt;400 mg S L−1. As a result of effective sulfide removal by its gas stripping function, the IPSR had a COD removal efficiency of &gt;90% over the entire experimental period. High-throughput 16S rRNA gene sequencing revealed that the major anaerobic archaea were Methanobacterium and Methanosaeta, which are frequently found in high-rate anaerobic reactors. Thus, the IPSR maintains these microorganisms and achieves high-process performance even when fed wastewater with very high sulfide concentrations.
Multiple Risk Factors Analysis of Post-dural Puncture Headache (PDPH) among Parturient Patients Underwent Caesarean Section at Obstetric Hospitals in Somaliland
Authors: Mohamed Ghazi , Sukar Khalid Abbas Owish , Guled Ekram Said Hussein , Elamin Sara Musa Abdalla , Kandakurthi Praveen Kumar , Fathelrahman Murtada , Bashir Mohamed Salah , Mohammed Abdalaziz Halah Salah 
Published: November 2024

Background
Regional anesthesia, particularly spinal technique, is administered during obstetric surgery. The patient and the procedure have risk factors that affect the likelihood of post-dural puncture headaches (PDPH). This study aimed to assess multivariate statistical analyses of risk factors that predict PDPH occurrence in patients who underwent Caesarean section in an obstetrics hospital in Somaliland.

Methods
A cross-sectional study was designed and conducted in obstetrics-selected hospitals in Somaliland. Four hundred parturient patients were included. Statistical tests included Chi Squire and risk analysis (Odd & Risk relative ratios) and the Receiver Operating Characteristic (ROC) curve was used to analyze sensitive risk factors to predict PDPH occurrence.

Results
The results revealed that 325 parturient patients (81.25%) developed PDPH while 75 parturient patients (18.75%) didn’t report PDPH; multiple lumbar puncture attempts were significantly associated with an increased risk of PDPH, with a P-value of 0.001 and an odds ratio (OR) of 2.705 (95% CI: 1.588–4.605). The ROC analysis for these attempts showed an area under the curve (AUC) of 62%, indicating that the sensitivity and specificity of lumber puncture attempts (56%, 32%) to predict PDPH. However, other risk factors (Age, PMI, Needle type & size, patient’s position) indicate weak predictive value for PDPH occurrence.

Conclusion
The study concluded that Lumber puncture attempts were a significant risk factor in predicting PDPH compared to other. However, the other risk factors were reported as weak, sensitive and specificity risk factors to predict PDPH occurrence.