bluuebunny/crossref_metadata_2025_split huggingface dataset:
At-any-Point-in-Time, Individual’s Psychological Well-Being Matters: Meta-analysis of Reliability Generalisation of (Ryff's SPWB) as the measure
Authors: Wojujutar Ajele Kenni , Idemudia Erhabor Sunday 
Published: April 2024

Abstract
Background: Psychological well-being is not just a static trait but a dynamic construct that can change over time. Given the dynamic nature of psychological well-being, which can fluctuate in response to life events, stressors, and developmental changes, the need for reliable and sensitive measurement tools is paramount.
Objective: This meta-analysis aims to evaluate the reliability generalization of Ryff's Scales of Psychological Well-Being (SPWB) as a suitable tool for assessing individual psychological well-being at any point in time.
Method: This meta-analysis uses a systematic search method and stringent inclusion criteria to assess the reliability of the Ryff's Scales of Psychological Well-Being (SPWB) in a variety of demographic contexts. To ensure objectivity, this meta-analysis assesses the SPWB utilizing a pre-registered procedure (CRD42024508542). With QUADAS-2 and COSMIN Risk of Bias serving as guiding principles for quality assessment, data from ten research published between 2015 and 2023 were analysed using a common and random-effects model. Knowledge of the psychometric qualities of SPWB is improved by this work.
Results: The meta-analysis confirmed the SPWB's high reliability, with both models showing a 0.92 reliability coefficient (95% CI [0.88; 0.95]) and significant statistical support (z = 48.69 and 45.93, p < .05). Minimal study variability (τ²= 0.0002, I² = 0.0%) and a non-significant heterogeneity test (Q = 7.58, df = 9, p = .57). The meta-analysis on SPWB versions SPWB-6 to SPWB-40 showed high reliability, with Cronbach’s alpha from 0.70 to 0.96. Common and random effects models indicated alphas of 0.92 and 0.89, respectively, and low to moderate heterogeneity (I² = 26.7%). The meta-analysis on psychological well-being dimensions showed high consistency, with Cronbach's alphas from 0.68 to 0.70. Overall reliability was strong (z-value 6.04, p < .05), with no heterogeneity (I2 = 0.0%, Q = 0.00, p = 1.00), indicating consistent reliability across dimensions.
Conclusion: This meta-analysis reinforces the significance of Ryff's SPWB as a reliable and versatile tool for assessing individual psychological well-being at any point, highlighting its implications for both practice and research.
LINC01132 and LINC02542 modulate the PIK3/ACT signaling pathway in breast cancer patients through regulation of IGF2: a systems biology-based biomarker discovery
Authors: Jalalimanesh Fatemeh , Azadeh Mansoureh , Sasan Hosein Ali , Rezaei Mohammad 
Published: April 2024

Abstract

Background
There is ample evidence to suggest that colorectal cancer has unique originations and genetic changes and immune profiles indicating that colorectal cancer is a diverse disease.
Long non-coding RNAs (lncRNAs) perform different duties in controlling gene transcription, post-transcriptional mechanisms, translation, and epigenetic changes. dysregulated expression of lncRNAs is closely associated with a variety of medical conditions.
Method
A comprehensive bioinformatics analysis was conducted to make an informed prediction about the potential biomarkers. The selection of RNAs for this investigation was based on Microarray data analysis, enrichment analyses (pathway, GO), and direct/indirect interaction. Various statistical methods were used to assess differences in expression in the CRC samples, RNA correlations, and the potential for consideration as prognostic or diagnostic biomarkers (ROC and clinicopathological analysis).
Result
The bioinformatics analysis revealed that LINC01132 (logFC: 2.361870571, adj. P. Val < 0.05) and LINC02542 (logFC: 2.456774839, adj. P. Val < 0.05) are significantly up-regulated in CRC and have the potential to be diagnostic biomarkers for the disease, as indicated by their high area under the curve (AUC) values (LINC01132, AUC:0/9475, P. Value <0.0001 and LINC02542, AUC: 0/9075, P. Value <0.0001). Additionally, LINC02542 was found to have a positive correlation with the survival rate of CRC cases (HR: 1.8, log-rank p: 0.02). Both LINC01132 and LINC02542 were found to interact with IGF2(sum of local base-pairing energy of LINC02542: -354.52 kcal/mol, and energy of LINC01132: -69.82 kcal/mol).
Conclusion
LINC01132 and LINC02542 are novel lncRNAs in CRC, and Let-7e-5p miRNA may modulate the PI3K-AKT signaling pathway in CRC through indirect effects on IGF2.
Aerobic Bacteria Isolates and Antibiotic Susceptibility Patterns in Suspected Wound Infection Patients at Dil-Chora Referral Hospital, Dire Dawa, Eastern Ethiopia
Authors: Ibrahim Adil , Egata Gudina , Eba Wondimagegn W. , Teklemariam Zelalem , Awaju Tadesse S. 
Published: April 2024

Abstract

Background: Bacterial wound infections are a common and serious health problem that can disrupt wound healing, resulting in morbidity and death in patients, particularly due to drug-resistant pathogens. Limited research exists on this topic in eastern Ethiopia.
Objective: This study aims to assess aerobic bacteria isolate, their drug susceptibility patterns and associated factors among suspected patients admitted for wound infection at Dil-Chora Referral Hospital, Dire Dawa, eastern Ethiopia.
Methods: A hospital-based cross-sectional study was conducted among 188 patients with wounds from March to June 2020. Data were collected using a pretested, structured questionnaire. Wound swabs and pus discharges from 188 patients were collected using convenient sampling techniques. Gram staining, biochemical testing, and culture were used to isolate and identify etiologic agents. Antibacterial susceptibility test was performed on Muller Hinton agar using the Kirby-Bauer disc diffusion method.
Results: In this study, 89.4% of wound infections yielded bacteria, predominantly Gram-negative (54%) and Gram-positive (46%). S. aureus (32.9%) and Proteus species (28.6%) were predominant. Gender [AOR=7.5; 95% CI (5.6–13.2)], type of specimen [AOR=16.8; 95% CI (12.7–18.3)], and type of ward [AOR=12.3; 95% CI (8.3–16.5)] were significantly associated with bacterial wound infection. All isolated Gram-positive bacteria resisted Beta-lactams but responded to amikacin and vancomycin. Gram-negative bacteria showed high resistance to ampicillin, chloramphenicol, cotrimoxazole, ceftriaxone, and doxycycline, but they were susceptible to amikacin. Overall, multi-drug resistance was high at 85%.
Conclusions: Our study detected a high prevalence of bacterial wound infections with notable drug resistance. Gender (female), types of specimen (pus discharge), and types of ward (orthopedic ward) had a significant effect on the outcome variable (P< 0.05). Amikacin, gentamicin, and vancomycin emerged as preferred antibiotics at Dil-Chora hospital. Clinical diagnosis of wound infection should consider microbiological culture and susceptibility patterns for effective treatment.
Guanidinium-based Integrated Peptide Dendrimers: Pioneer Nanocarrier
in Cancer Therapy
Authors: Singh Dilpreet , Muhammad Irham Lalu , Singh Amrinder , Kurmi Balak Das 
Published: April 2024

Abstract:
The landscape of cancer therapy has witnessed a paradigm shift with the emergence of
innovative delivery systems, and Guanidinium-based Peptide Dendrimers have emerged as a vanguard
in this transformative journey. With their unique molecular architecture and intrinsic biocompatibility,
these dendrimers offer a promising avenue for the targeted delivery of therapeutic
cargo in cancer treatment. This comprehensive review delves into the intricate world of Guanidinium-
based Peptide Dendrimers, unraveling their structural intricacies, mechanisms of action, and
advancements that have propelled them from laboratory curiosities to potential clinical champions.
Exploiting the potent properties of guanidinium, these dendrimers exhibit unparalleled precision
in encapsulating and transporting diverse cargo molecules, ranging from conventional chemotherapeutics
to cutting-edge nucleic acids. The review navigates the depths of their design principles,
investigating their prowess in traversing the complex terrain of cellular barriers for optimal
cargo delivery. Moreover, it delves into emerging trends, such as personalized therapeutic approaches,
multimodal imaging, and bioinformatics-driven design, highlighting their potential to redefine
the future of cancer therapy. Crucially, the review addresses the pivotal concerns of biocompatibility
and safety, examining cytotoxicity profiles, immune responses, and in vivo studies. It underscores
the importance of aligning scientific marvels with the stringent demands of clinical applications.
Through each section, the narrative underscores the promises and possibilities that
Guanidinium-based Peptide Dendrimers hold and how they can potentially reshape the landscape
of precision cancer therapy.
Recent Progress in the Synthesis and Biological Assessment of Benzimidazole-1,2,3-
Triazole Hybrids
Authors: Singh Dileep Kumar , Iqbal Haider , Ansari Mohd. Ayub 
Published: April 2024

Abstract:
In recent times, many research groups have focused their attention on nitrogencontaining
heterocyclic compounds with the aim of gaining a deeper understanding of their
biological characteristics. Among them, molecules based on 1,2,3-triazole and benzimidazole
have exhibited diverse biological applications and are present in many drug molecules.
The purpose of this review is to describe various benzimidazole-1,2,3-triazole hybrids and
to provide a comprehensive evaluation of their biological properties. The compounds discussed
in this study have been synthesized through a Cu(I)-catalyzed 1,3-dipolar cycloaddition
reaction between diverse azides and alkynes, utilizing a 1,2,3-triazole scaffold as a
linkage between two connecting groups. The synthesis of several benzimidazole-1,2,3-
triazole hybrids is covered in this review, along with a biological assessment of their anticancer, antiproliferative,
antitubercular, antibacterial, antidepressant, and other activities. Moreover, in our opinion, this review may
be useful for the development of various medicinally significant molecules.
Detection and Quantification of 5moU RNA Modification from Direct
RNA Sequencing Data
Authors: Li Jiayi , Sun Feiyang , He Kunyang , Zhang Lin , Meng Jia , Huang Daiyun , Zhang Yuxin 
Published: April 2024

Background:
Chemically modified therapeutic mRNAs have gained momentum recently.
In addition to commonly used modifications (e.g., pseudouridine), 5moU is considered a promising
substitution for uridine in therapeutic mRNAs. Accurate identification of 5-methoxyuridine
(5moU) would be crucial for the study and quality control of relevant in vitro-transcribed (IVT)
mRNAs. However, current methods exhibit deficiencies in providing quantitative methodologies
for detecting such modification. Utilizing the capabilities of Oxford nanopore direct RNA sequencing,
in this study, we present NanoML-5moU, a machine-learning framework designed specifically
for the read-level detection and quantification of 5moU modification for IVT data.

Materials and Methods:
Nanopore direct RNA sequencing data from both 5moU-modified and
unmodified control samples were collected. Subsequently, a comprehensive analysis and modeling
of signal event characteristics (mean, median current intensities, standard deviations, and dwell
times) were performed. Furthermore, classical machine learning algorithms, notably the Support
Vector Machine (SVM), Random Forest (RF), and XGBoost were employed to discern 5moU modifications
within NNUNN (where N represents A, C, U, or G) 5-mers.

Result:
Notably, the signal event attributes pertaining to each constituent base of the NNUNN 5-
mers, in conjunction with the utilization of the XGBoost algorithm, exhibited remarkable performance
levels (with a maximum AUROC of 0.9567 in the "AGTTC" reference 5-mer dataset and a minimum
AUROC of 0.8113 in the "TGTGC" reference 5-mer dataset). This accomplishment markedly exceeded
the efficacy of the prevailing background error comparison model (ELIGOs AUC 0.751 for sitelevel
prediction). The model's performance was further validated through a series of curated datasets,
which featured customized modification ratios designed to emulate broader data patterns, demonstrating
its general applicability in quality control of IVT mRNA vaccines. The NanoML-5moU framework
is publicly available on GitHub (https://github.com/JiayiLi21/NanoML-5moU).

Conclusion:
NanoML-5moU enables accurate read-level profiling of 5moU modification with nanopore
direct RNA-sequencing, which is a powerful tool specialized in unveiling signal patterns in
in vitro-transcribed (IVT) mRNAs.
Electroacupuncture Inhibits Neural Ferroptosis in Rat Model of Traumatic
Brain Injury via Activating System Xc−/GSH/GPX4 Axis
Authors: Li Na , Wang Ruihui , Ai Xia , Guo Jie , Bai Yuwang , Guo Xinrong , Zhang Rongchao , Du Xu , Chen Jingxuan , Li Hua 
Published: April 2024

Background:
Ferroptosis is an iron-dependent regulating programmed cell death discovered
recently that has been receiving much attention in traumatic brain injury (TBI). xCT, a
major functional subunit of Cystine/glutamic acid reverse transporter (System Xc-), promotes
cystine intake and glutathione biosynthesis, thereby protecting against oxidative stress and ferroptosis.

Objective:
The intention of this research was to verify the hypothesis that electroacupuncture
(EA) exerted an anti-ferroptosis effect via an increase in the expression of xCT and activation of
the System Xc−/GSH/GPX4 axis in cortical neurons of TBI rats.

Methods:
After the TBI rat model was prepared, animals received EA treatment at GV20,
GV26, ST36 and PC6, for 15 min. The xCT inhibitor Sulfasalazine (SSZ) was administered 2h
prior to model being prepared. The degree of neurological impairment was evaluated by means
of TUNEL staining and the modified neurological severity score (mNSS). Specific indicators of
ferroptosis (Ultrastructure of mitochondria, Iron and ROS) were detected by transmission electron
microscopy (TEM), Prussian blue staining (Perls stain) and flow cytometry (FCM), respectively.
GSH synthesis and metabolism-related factors in the content of the cerebral cortex were
detected by an assay kit. Real-time quantitative PCR (RT-QPCR), Western blot (WB), and immunofluorescence
(IF) were used for detecting the expression of System Xc−/GSH/GPX4 axisrelated
proteins in injured cerebral cortex tissues.

Results:
EA successfully relieved nerve damage within 7 days after TBI, significantly inhibited
neuronal ferroptosis, upregulated the expression of xCT and System Xc-/GSH/GPX4 axis forward
protein and promoted glutathione (GSH) synthesis and metabolism in the injured area of
the cerebral cortex. However, aggravation of nerve damage and increased ferroptosis effect were
found in TBI rats injected with xCT inhibitors.

Conclusions:
EA inhibits neuronal ferroptosis by up-regulated xCT expression and by activating
System Xc−/GSH/GPX4 axis after TBI, confirming the relevant theories regarding the EA effect
in treating TBI and providing theoretical support for clinical practice.
Iodine-Mediated Aromatization of Himachalenes: Synthesis of Dehydro-7,8-arylhimachalene
Authors: Louchachha Isam , Edder Youssef , Faris Abdelmajid , Boualy Brahim , Ali Mustapha Ait , Karim Abdallah 
Published: April 2024

:
Dehydro-7,8-aryl-himachalene is a desired natural benzocycloheptene sesquiterpene
found in the essential oil of Atlas cedar (Cedrus atlantica) in minor quantities. Herein, we report a
simple and environmentally benign synthesis of this molecule via the aromatization of himachalene
mixture (the major constituent of the same oil).

:
The synthesis of the desired compound has been achieved by iodine/DMSO-mediated aromatization.
The synthesized product has been characterized using MS spectrometry and NMR spectroscopy data.

:
The treatment of the himachalene mixture with iodine led to the formation of dehydro-7,8-arylhimachalene,
along with other rearrangement products catalyzed by the hydroiodic acid formed in
situ. The use of DMSO as a co-solvent enabled the elimination of the acid formed and the regeneration
of iodine. The optimization of the reaction conditions led to the formation of the desired product
with a good yield.

:
The present study highlights the development of a simple and environmentally benign method for the
synthesis of a natural benzocycloheptene-based sesquiterpenoid in large quantities in order to explore
its biological and chemical properties.
Synthesis, Characterization, Docking Studies, and In-vitro Cytotoxic Activity of Some Novel 2, 3 Disubstituted Naphthalene 1,4 Dione Derivatives
Authors: Selavaraj Dilipkumar , Vishwanathan Karthik , Byran Gowramma , Mohan Magesh , Lakshmanan Kaviarasan 
Published: April 2024

Introduction:
Many quinone derivatives as of now utilized for anticancer medications.
Especially, 1,4-naphthoquinones are dynamic derivatives, and it was broadly utilized in unrefined
substances in the drugs and agrochemicals industry.

Materials and Methods:
In this work, we planned and combined five different moieties into 2, 3
disubstituted naphthalene-1,4-dione molecules. Various spectral studies distinguished the synthetic
designs of the produced compounds. The naphthoquinone derivatives were exposed to the primary
molecular descriptor by Molinspiration programming, and all the descriptor values are within
the specified value.

Results and Discussion:
Each of the five naphthoquinone derivatives was docked against the
Topoisomerase II utilizing Auto Dock program 4.2.5. (PDB: 3L4K). The docking tells us that the
studied compounds possess significant to moderate inhibition toward the targeted enzymes.
Among the studied compounds, compound L3 showed the most elevated binding score (-10.66
kcal/mol with one H-bond) than the adriamycin (-9.58 kcal/mol with two H-bonds) and compound
L2 (- 9.86 kcal/mol with two H-bonds). The derivatives were tried for in-vitro cytotoxicity
studies against MCF - 7 by the SRB method. Among them, compounds L2 (28.42±3.1 μg/mL)
and L3 (29.38±3.2 μg/mL) were the most significant ones when contrasted with the control Adriamycin
(15.28±3.4 μg/mL).

Conclusion:
The current research indicates that the tested compounds show anticancer action
against the MCF-7 breast cancer cell line. Thus, the study is an attempt to advance toward the
identification of innovative anticancer drugs.
A Cost-Minimized Task Migration Assignment Mechanism in Blockchain Based Edge Computing System
Authors: Xu Binghua , Jin Yan , Yu Lei 
Published: April 2024

Background:
Cloud computing is usually introduced to execute computing intensive
tasks for data processing and data mining. As a supplement to cloud computing, edge
computing is provided as a new paradigm to effectively reduce processing latency, energy consumption
cost and bandwidth consumption for time-sensitive tasks or resource-sensitive tasks.
To better meet such requirements during task assignment in edge computing systems, an intelligent
task migration assignment mechanism based on blockchain is proposed, which jointly
considers the factors of resource allocation, resource control and credit degree.

Methods:
In this paper, an optimization problem is firstly constructed to minimize the total
cost of completing all tasks under constraints of delay, energy consumption, communication,
and credit degree. Here, the terminal node mines computing resources from edge nodes to
complete task migration. An incentive method based on blockchain is provided to mobilize the
activity of terminal nodes and edge nodes, and to ensure the security of the transaction during
migration. The designed allocation rules ensure the fairness of rewards for successfully mining
resource. To solve the optimization problem, an intelligent migration algorithm that utilizes a
dual “actor-reviewer” neural network on inverse gradient update is proposed which makes the
training process more stable and easier to converge.

Results:
Compared to the existing two benchmark mechanisms, the extensive simulation results
indicate that the proposed mechanism based on neural network can converge at a faster
speed and achieve the minimal total cost.

Conclusion:
To satisfy the requirements of delay and energy consumption for computing intensive
tasks in edge computing scenarios, an intelligent, blockchain based task migration assignment
mechanism with joint resource allocation and control is proposed. To realize this
mechanism effectively, a dual “actor-reviewer” neural network algorithm is designed and executed.
Evaluating the Prevalence of Burnout Among Health Care Professionals Related to Electronic Health Record Use: Systematic Review and Meta-Analysis
Authors: Wu Yuxuan , Wu Mingyue , Wang Changyu , Lin Jie , Liu Jialin , Liu Siru 
Published: April 2024

Background
Burnout among health care professionals is a significant concern, with detrimental effects on health care service quality and patient outcomes. The use of the electronic health record (EHR) system has been identified as a significant contributor to burnout among health care professionals.

Objective
This systematic review and meta-analysis aims to assess the prevalence of burnout among health care professionals associated with the use of the EHR system, thereby providing evidence to improve health information systems and develop strategies to measure and mitigate burnout.

Methods
We conducted a comprehensive search of the PubMed, Embase, and Web of Science databases for English-language peer-reviewed articles published between January 1, 2009, and December 31, 2022. Two independent reviewers applied inclusion and exclusion criteria, and study quality was assessed using the Joanna Briggs Institute checklist and the Newcastle-Ottawa Scale. Meta-analyses were performed using R (version 4.1.3; R Foundation for Statistical Computing), with EndNote X7 (Clarivate) for reference management.

Results
The review included 32 cross-sectional studies and 5 case-control studies with a total of 66,556 participants, mainly physicians and registered nurses. The pooled prevalence of burnout among health care professionals in cross-sectional studies was 40.4% (95% CI 37.5%-43.2%). Case-control studies indicated a higher likelihood of burnout among health care professionals who spent more time on EHR-related tasks outside work (odds ratio 2.43, 95% CI 2.31-2.57).

Conclusions
The findings highlight the association between the increased use of the EHR system and burnout among health care professionals. Potential solutions include optimizing EHR systems, implementing automated dictation or note-taking, employing scribes to reduce documentation burden, and leveraging artificial intelligence to enhance EHR system efficiency and reduce the risk of burnout.

Trial Registration
PROSPERO International Prospective Register of Systematic Reviews CRD42021281173; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021281173