bluuebunny/crossref_metadata_2025_split huggingface dataset:
School Head’s Professional Identity, Emotional Intelligence and Perfectionism: Three-Tier Factors to Advance Pedagogical Leadership
Authors: Callo Eden C. , Asilo Marta G. 
Published: March 2024

This study is focused on the school head’s professional identity, emotional intelligence, and perfectionism as three tier factors to advance pedagogical leadership. The study employed the quantitative descriptive methodology, combining descriptive and multiple linear regression analysis. The researchers-made online survey instrument, via a google form. Responses from 132 school heads were analyzed using descriptive statistics such as mean, and standard deviation. Multiple linear regression analysis was employed to determine the significant relationships of the variables. The results reveal that professional identity has a positive relationship with pedagogical leadership. Contradicting result is the emotional intelligence which has a negative relationship with pedagogical leadership. Lastly, perfectionism has a positive relationship with pedagogical leadership. It is concluded that a school head’s professional identity, emotional intelligence and perfectionism significantly predict pedagogical leadership. Hence, the department (DepEd) may conduct series of training and workshops for teachers as a capacity building to equip them with knowledge and competencies to handle the numerous challenges in the delivery of quality, relevant, inclusive, and liberating education to the Filipino learners. Further, during Gender and Development programs one activity to consider is the training in emotional development among teachers and school heads.
Integration of Literacy Strategies in Teaching Science among Grade IV Pupils of Zone II Zambales Division for The School Year 2019 – 2020
Authors: Sebastian Mary Jane A. 
Published: March 2024

The study aimed to assess and determine the integration of literacy strategies in teaching Science among Grade IV elementary pupils of Zone II Division of Zambales during the School Year 2019-2020.
The researcher utilized the descriptive research design with questionnaire as the main instrument in gathering data and information from (50) Science teachers and determine their profile as to age, sex, highest educational attainment, position, and numbers of years in teaching Science. The study was limited to determine perception towards integrating literacy in teaching Science among elementary pupils as to Paraphrasing/Vocabulary Instruction, Summarizing Science, Interactive Read-Aloud, Interactive Reading Guides, and Writing A Scientific Explanation
The result of the study revealed that most of the respondents are from age-group of 30-39 with 19 or equivalent to 38.00% and with mean age of 38.1 years old; majority of the respondents are female teachers with 29 or equivalent to 58.00%; majority have attained Masteral units and with 27 or equivalent to 54.00%; mostly are occupying Teacher I and with 19 or equivalent to 38.00%; and 18 or equivalent to 36.00% are in the teaching service for 6-9 years with mean of 7.6% or 8 years in the service.
Based on the summary of the investigations conducted, the researcher has arrived to conclude that the respondent is a typical female in her middle adulthood, Teacher 1, with Masteral units and has served for almost a decade in the teaching service. The respondents Highly Practiced Paraphrasing/Vocabulary Instruction, Summarizing Science, Interactive Read-Aloud, Interactive Reading Guides, and Writing A Scientific Explanation. The students were assessed “Average Mastery” in their academic performance. Based on the summary of the investigations conducted and the conclusions arrived at the researcher has offered the following recommendations based on the salient findings obtained in the study. It is encouraged that the Science teachers have to finish their Masteral Degree for them to have higher academic rank.
The Science teachers have to sustain the teaching strategies in Paraphrasing, Summarizing in Science, Interactive Read Aloud, Interactive Reading Guides, and Writing Scientific Explanation must be sustained among science teachers. The teachers have to encourage pupils to develop study habits to improve the academic performance. Teachers are encouraged to be sensitive and vigilant to pupils who are passive in the subjects and make them highly involve in all activities by giving rewards and recognition. If budget warrants, provision of internet services in classroom environment is strongly recommendable for better appreciation and learning Science. The future researchers have to conduct a parallel or similar study with in-depth and wider in scope so as to validate and confirm the findings obtained in the study.
Whole transcriptomic analysis reveals overexpression of salivary gland and cuticular proteins genes in insecticide-resistant Anopheles arabiensis from Western Kenya
Authors: Omoke Diana , Impoinvil Lucy Mackenzie , Derilus Dieunel , Okeyo Stephen , Saizonou Helga , Mulder Nicola , Dada Nsa , Lenhart Audrey , Djogbénou Luc , Ochomo Eric 
Published: March 2024

AbstractBackgroundEffective vector control is key to malaria prevention. However, this is now compromised by increased insecticide resistance due to continued reliance on insecticide-based control interventions. In Kenya, we have observed heterogenous resistance to pyrethroids and organophosphates inAnopheles arabiensiswhich is one of the most widespread malaria vectors in the country. We investigated the gene expression profiles of insecticide resistantAn. arabiensispopulations from Migori and Siaya counties in Western Kenya using RNA-Sequencing. Centers for Disease Control and Prevention (CDC) bottle assays were conducted using deltamethrin (DELTA), alphacypermethrin (ACYP) and pirimiphos-methyl (PMM) to determine the resistance status in both sites.ResultsMosquitoes from Migori had average mortalities of 91%, 92% and 58% while those from Siaya had 85%, 86%, and 30% when exposed to DELTA, ACYP and PMM, respectively. RNA-Seq analysis was done on pools of mosquitoes which survived exposure (‘resistant’), mosquitoes that were not exposed, and the insecticide-susceptibleAn. arabiensisDongola strain. Gene expression profiles of resistant mosquitoes from both Migori and Siaya showed an overexpression mainly of salivary gland proteins belonging to both the short and long form D7 genes, and cuticular proteins (including CPR9, CPR10, CPR15, CPR16). Additionally, the overexpression of detoxification genes including cytochrome P450s (CYP9M1, CYP325H1, CYP4C27, CYP9L1 and CYP307A1), 2 carboxylesterases and a glutathione-S-transferase (GSTE4) were also shared between DELTA, ACYP, and PMM survivors, pointing to potential contribution to cross resistance to both pyrethroid and organophosphate insecticides.ConclusionThis study provides novel insights into the molecular basis of insecticide resistance inAn. arabiensisin Western Kenya and suggests that salivary gland proteins and cuticular proteins are associated with resistance to multiple classes of insecticides.
Upregulated synthesis and production of bioactive compounds in Lotus arabicus L. by in vitro feeding with dried powder of date palm seeds
Authors: Elsherif Doaa E. , Safhi Fatmah A. , Khalifa Asmaa M. , Ragab Gehad A. 
Published: March 2024

Abstract
Background
Plants are considered the primary source of many principal bioactive compounds that have been utilized in a wide range of applications including the pharmaceutical and biotechnological industries. Therefore, there is an imperative need to modulate the production of natural bioactive components. The present study aimed to determine the importance of dried and pulverized date palm seeds (DPS) as a natural elicitor for the synthesis of secondary metabolites in Lotus arabicus L.

Results
The presence of various antioxidant compounds, simple sugars, amino acids, fatty acids and reasonable mineral contents was distinct in the phytochemical characterization of DPS. The major components detected in DPS analysis were the 5-(hydroxymethyl) furfural and 2,3-dihydro-3,5-dihydroxy-6-methyl-4H-pyranone. The induced callus of L. arabicus (seven weeks old) was supplemented with DPS at different concentrations (0, 2, 4, 8 and 10 g/l) in culture media. Treatment with 8 g/l DPS induced the highest antioxidant capacity, ascorbic acid content and secondary metabolites (total phenolics and flavonoids) in the produced callus. Stress biomarkers (hydrogen peroxide and malondialdehyde) were found in the control ranges except at 10 g/l DPS. The expression patterns of key genes involoved in secondary metabolism modulation, such as phenylalanine ammonia lyase (PAL), chalcone synthase (CHS), chalcone isomerase (CHI), flavonol synthase (FLS) and deoxyxylulose phosphate reductoisomerase (DXR), were triggered after DPS treatments. Moreover, the quantitative profiling of phenolic and flavonoid compounds showed that supplementation with DPS, especially at 8 g/l, led to pronounced increases in most of the measured compounds.

Conclusion
The marked upregulation of eliciting-responsive genes and overproduction of secondary metabolites provide molecular-based evidence for intensifying the principal pathways of phenylpropanoid, flavonoid and terpenoid biosynthesis. Overall, the present in vitro study highlights the stimulating capacity of DPS utilization to improve the bioactive components of L. arabicus at the physiological and molecular levels, enhancing its potential as a medicinal herb.
A comparison of Scansys and Sirius tomography in healthy eyes
Authors: Khorrami-Nejad Masoud , Khodaparast Mehdi , Abdulkadhim Ihsan Ali , Azizi Elham , Rashidi Fatemeh , Damanpak Vahid , Hashemian Hesam 
Published: March 2024

Abstract
Purpose
To assess the level of agreement and evaluate the reliability of measurements between two Scheimpflug imaging modalities, Scansys (MediWorks, China) and Sirius (CSO, Italy), in quantifying the anterior segment parameters in healthy eyes.

Methods
In a cross-sectional study, the right eyes of 38 healthy participants without any ocular or systemic diseases were examined. A range of anterior segment parameters including anterior and posterior flat and steep keratometry, central corneal thickness (CCT), thinnest corneal thickness (TCT), anterior chamber depth (ACD), anterior chamber angle (ACA), corneal volume, anterior chamber volume, and horizontal white to white diameter, derived from the sagittal curvature maps were measured. To evaluate the reliability of the measurements, intraclass correlation coefficient (ICC) and correlation coefficient were measured. Additionally, Bland-Altman plots were employed to examine the agreement in mean (bias line) and 95% limits of agreement between the two devices.

Results
The mean age was 31.5 ± 6.9 (range: 19–47) years. The ICC indicated that the majority of anterior segment parameters had an excellent or good level of reliability, surpassing the threshold of 0.9. Nevertheless, CCT and ACA exhibited a moderate level of reliability, with ICC values of 0.794 and 0.728, respectively. The correlation analysis showed a strong correlation for all the variables tested. The Bland-Altman plots revealed that the bias line was near zero and the 95% limits of agreement were narrow for most variables, except for the anterior flat and steep keratometry, which were found to range from − 0.57 to 0.84 D and − 0.68 to 0.87 D, respectively.

Conclusion
Scansys and Sirius devices can be effectively used interchangeably for the evaluation of most anterior segment parameters; however, for anterior corneal curvatures, CCT and ACA, their alternative use is not recommended.
Exploring nurses’ experiences of providing spiritual care to cancer patients: a qualitative study
Authors: Anshasi Huda A. , Fawaz Mirna , Aljawarneh Yousef M. , Alkhawaldeh Ja’far M. 
Published: March 2024

AbstractPurposeThis study aims to explore nurses’ experiences of delivering spiritual care in an oncology setting.MethodsAn exploratory- descriptive qualitative design. Focus groups were conducted to gather data. The discussions were recorded and transcribed verbatim to ensure accuracy, credibility, and reliability. Inductive thematic analysis was performed to analyze the narratives, and the study’s reporting followed the Consolidated criteria for reporting qualitative studies.ResultsThe study revealed four major themes: the spirituality from the perspective of oncology nurses, recognition of patients’ spiritual needs, delivery of spiritual care to patients with cancer, and barriers in implementing spiritual care. The participants identified insufficient staff, lack of time, and insufficient knowledge and skills as obstacles to delivering spiritual care.ConclusionThis study offers a thorough understanding of how nurses provide spiritual care in an oncology setting. It is recommended that organizational interventions, such as increasing staff numbers, be implemented to enable nurses to provide more compassionate care. Furthermore, nursing curriculums should incorporate purposeful engagement and focused debriefing related to spiritual care to better equip nurses in identifying and meeting the spiritual needs of their patients.
Development and effects of advanced cardiac resuscitation nursing education program using web-based serious game: application of the IPO model
Authors: Baek Gyuli , Lee Eunju 
Published: March 2024

Abstract
Background
The significant rise in cardiac arrest cases within hospitals, coupled with a low survival rate, poses a critical health issue. And in most situations, nurses are the first responders. To develop nursing students’ competencies in advanced cardiopulmonary resuscitation, systematic and repetitive learner-centered self-directed education that can promote the integration of knowledge and practice is necessary.

Objectives
To develop an advanced cardiopulmonary resuscitation training program using a web-based serious game for nursing students and verifying its efficacy.

Design
The program was developed based on the stages of analysis, design, development, implementation, and evaluation, and the Input Process Outcome Model of Serious Game Design formed the theoretical basis.

Settings and participants
The research design employed a before-and-after non-equivalent control group, and data collection took place among 2nd and 3rd year nursing students at K University in D City, Korea, from March 2, 2023, to March 24, 2023.

Methods
The program consisted of a 120-min video lecture, 30 min of a web-based serious game, 30-min of written self-reported debriefing, and individual feedback using a video conference system. The effectiveness of the program was measured for both groups using an 89-item structured questionnaire regarding knowledge, confidence in performance, problem-solving ability, and learning transfer expectations.

Results
The program was effective in improving nursing students’ advanced cardiopulmonary knowledge, confidence in performance, problem-solving ability, and learning transfer expectation immediately after intervention.

Conclusions
This program underscores the necessity of a new direction in nursing education, emphasizing learner-centered approaches, rather than the traditional focus on the mere transmission of basic knowledge and skills, to cultivate nurses with advanced cardiopulmonary resuscitation capabilities.
Uric acid, high density lipoprotein cholesterol levels and their ratio are related to microbial enterotypes and serum metabolites in females with a blood stasis constitution
Authors: Sun Chen , Liu Yanmin , Huang Wei , Chen Yang , Deng Yusheng , Yuan Jiamin , Deng Lili , Xu Ning , Shang Xiaoxiao , Wang Chuyang , Yang Zhimin , Huang Li , Qiu Qinwei 
Published: March 2024

Abstract
Background
Blood stasis constitution in traditional Chinese medicine (TCM) is believed to render individuals more susceptible to metabolic diseases. However, the biological underpinnings of this constitutional imbalance remain unclear.

Methods
This study explored the association between blood stasis constitution, serum metabolic markers including uric acid (UA), high-density lipoprotein cholesterol (HDLC), their ratio (UHR), serum metabolites, and gut microbiota. Clinical data, fecal and serum samples were acquired from 24 individuals with a blood stasis constitution and 80 individuals with a balanced constitution among healthy individuals from Guangdong. Gut microbiota composition analysis and serum metabolomics analysis were performed.

Results
Females with a blood stasis constitution had higher UA levels, lower HDLC levels, and higher UHR in serum, suggesting a higher risk of metabolic abnormalities. Analysis of the gut microbiome revealed two distinct enterotypes dominated by Bacteroides or Prevotella. Intriguingly, blood stasis subjects were disproportionately clustered within the Bacteroides-rich enterotype. Metabolomic analysis identified subtle differences between the groups, including lower phenylalanine and higher trimethylaminoacetone levels in the blood stasis. Several differential metabolites displayed correlations with HDLC, UA, or UHR, unveiling potential new markers of metabolic dysregulation.

Conclusions
These findings elucidate the intricate interplay between host constitution, gut microbiota, and serum metabolites. The concept of blood stasis offers a unique perspective to identify subtle alterations in microbiome composition and metabolic pathways, potentially signaling underlying metabolic vulnerability, even in the presence of ostensibly healthy profiles. Continued investigation of this TCM principle may reveal critical insights into the early biological processes that foreshadow metabolic deterioration.
Causal effects of glycemic traits and endometriosis: a bidirectional and multivariate mendelian randomization study
Authors: Xin Qing , Li Hao-Jia , Chen Hao-Kai , Zhu Xiao-Feng , Yu Lin 
Published: March 2024

Abstract
Background
Observational studies have suggested an association between endometriosis and glycemic traits, but causality remains unclear. We used bidirectional and multivariate Mendelian randomization (MR) to examine the causal effect of glycemic traits on endometriosis and vice versa.

Methods
We obtained genome-wide association studies summary data of endometriosis and glycemic traits in our study. Inverse variance weighted (IVW), Weighted median, MR-Egger and Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) were applied in bidirectional two-sample MR analyses. MVMR was implemented to estimate the causal effect for fasting insulin (FI), fasting glucose (FG), and glycosylated hemoglobin A1c (HbA1c) on endometriosis. To test the validity of our findings, a number of sensitivity analyses were conducted.

Results
The risk of endometriosis was significantly increased by genetically predicted T1DM (OR = 1.02, 95% CI 1.00-1.04, p = 0.0171, q = 0.0556) and GDM (OR = 1.01, 95% CI 1.01–1.02, p = 1.34 × 10− 8, q = 1.74 × 10− 7). Endometriosis had a suggestive association with HbA1c (Beta = 0.04, 95% CI 0.00-0.08, p = 0.0481, q = 0.1251). Using multivariate Mendelian randomization (MVMR), a significant causal effect of FI on genetically predicted endometriosis was found (OR = 2.18, 95% CI 1.16–4.09, p = 0.0154, q = 0.0547). Moreover, no causal associations between endometriosis and other glycemic traits were detected.

Conclusion
Our findings supported the significant causal associations of T1DM, GDM and FI with endometriosis, respectively. Additionally, a suggestive association was found of endometriosis on HbA1c. Importantly, our study may shed light on etiology studies and clinical management of endometriosis.
An in-silico analysis of OGT gene association with diabetes mellitus
Authors: Ayodele Abigail O. , Udosen Brenda , Oluwagbemi Olugbenga O. , Oladipo Elijah K. , Omotuyi Idowu , Isewon Itunuoluwa , Nash Oyekanmi , Soremekun Opeyemi , Fatumo Segun 
Published: March 2024

AbstractO-GlcNAcylation is a nutrient-sensing post-translational modification process. This cycling process involves two primary proteins: the O-linked N-acetylglucosamine transferase (OGT) catalysing the addition, and the glycoside hydrolase OGA (O-GlcNAcase) catalysing the removal of the O-GlCNAc moiety on nucleocytoplasmic proteins. This process is necessary for various critical cellular functions. The O-linked N-acetylglucosamine transferase (OGT) gene produces the OGT protein. Several studies have shown the overexpression of this protein to have biological implications in metabolic diseases like cancer and diabetes mellitus (DM). This study retrieved 159 SNPs with clinical significance from the SNPs database. We probed the functional effects, stability profile, and evolutionary conservation of these to determine their fit for this research. We then identified 7 SNPs (G103R, N196K, Y228H, R250C, G341V, L367F, and C845S) with predicted deleterious effects across the four tools used (PhD-SNPs, SNPs&Go, PROVEAN, and PolyPhen2). Proceeding with this, we used ROBETTA, a homology modelling tool, to model the proteins with these point mutations and carried out a structural bioinformatics method– molecular docking– using the Glide model of the Schrodinger Maestro suite. We used a previously reported inhibitor of OGT, OSMI-1, as the ligand for these mutated protein models. As a result, very good binding affinities and interactions were observed between this ligand and the active site residues within 4Å of OGT. We conclude that these mutation points may be used for further downstream analysis as drug targets for treating diabetes mellitus.
PMNet: a multi-branch and multi-scale semantic segmentation approach to water extraction from high-resolution remote sensing images with edge-cloud computing
Authors: Zhang Ziwen , Liu Qi , Liu Xiaodong , Zhang Yonghong , Du Zihao , Cao Xuefei 
Published: March 2024

AbstractIn the field of remote sensing image interpretation, automatically extracting water body information from high-resolution images is a key task. However, facing the complex multi-scale features in high-resolution remote sensing images, traditional methods and basic deep convolutional neural networks are difficult to effectively capture the global spatial relationship of the target objects, resulting in incomplete, rough shape and blurred edges of the extracted water body information. Meanwhile, massive image data processing usually leads to computational resource overload and inefficiency. Fortunately, the local data processing capability of edge computing combined with the powerful computational resources of cloud centres can provide timely and efficient computation and storage for high-resolution remote sensing image segmentation. In this regard, this paper proposes PMNet, a lightweight deep learning network for edge-cloud collaboration, which utilises a pipelined multi-step aggregation method to capture image information at different scales and understand the relationships between remote pixels through horizontal and vertical spatial dimensions. Also, it adopts a combination of multiple decoding branches in the decoding stage instead of the traditional single decoding branch. The accuracy of the results is improved while reducing the consumption of system resources. The model obtained F1-score of 90.22 and 88.57 on Landsat-8 and GID remote sensing image datasets with low model complexity, which is better than other semantic segmentation models, highlighting the potential of mobile edge computing in processing massive high-resolution remote sensing image data.