bluuebunny/crossref_metadata_2025_split huggingface dataset:
Persian version of food preferences questionnaire (Persian - FPQ): a psychometric study among Iranian adolescents
Authors: Heidari Zahra , Feizi Awat , Haghighatdoost Fahimeh 
Published: October 2023

Abstract
Background
The assessment of dietary intakes and habits using reliable and youth-specific measurement tools during adolescence is essential. The aim of the present study was to culturally adapt and investigate the psychometric properties of the Persian version of the food preferences questionnaire (Persian - FPQ) among Iranian adolescents.
Methods
This methodological cross-sectional study was conducted among 452 Persian-speaking adolescents, living in Isfahan, Iran. Translation of the FPQ was performed using forward-backward method. Intra Class Correlation (ICC) and Cronbach’s α were used to assess test-retest reliability and internal consistency, respectively. Construct validity was investigated by using exploratory factor analysis (EFA). Divergent validity was determined using correlation analysis with Kessler Psychological Distress Scale (K-10). Known-group validity was assessed based on differences in mean food preference score between boys and girls and different categories of body mass index (BMI).
Results
The internal and external reliabilities for the Persian-FPQ were in the range of good to excellent in all domains (Cronbach’s α: 0.76–0.96 and ICCs: 0.982–0.998). Boys had higher scores of food preferences than girls, indicating good known-group validity. Construct validity evaluated by EFA led to extraction of seven factors (“Vegetables”, “Fruit”, “Dairy”, “Snacks”, “Meat/Fish”, “Starches” and “Miscellaneous foods”), explaining 37.8% of the variance. Divergent validity revealed significant negative correlations between five sub-scales of the Persian-FPQ and psychological distress.
Conclusion
The Persian version of the FPQ is a reliable and valid instrument with applicability in a broad range of the population of Persian-speaking adolescents for assessing food preferences in community-based research projects.
All-Photon Bipolar Reversible Modulation Artificial Synapse for Color Perception and Mitigation of Glare Phenomenon
Authors: Dai Haitao , Fu Yikai , Li Jia , Wang Changlei , Zhao Dewei , Zhang Xiaoli , Liu Changlong , Lv Qieni , Wang Yong , Xiao Yin , Feng Shouzhong 
Published: October 2023

Abstract
The focus of artificial synaptic device researches has gradually shifted towards synaptic devices with specific functionalities. In this work, we report an optically responsive memristor (with a configuration of Ag:AgI/MA0.4FA0.6PbI3/Ag:AgI) that achieves bidirectional switching of resistive states utilizing 450 nm and 650 nm light at an ultra-low readout voltage of 0.001 V. The device presents artificial visual synapses (AVS) features in terms of short-term plasticity (STP)/long-term plasticity (LTP) to pulsed light in the range of 300–700 nm. Under 450 nm blue light, an abrupt shift from low to high resistance can be observed, resembling the effect of glare. Intriguingly, the introduction of 650 nm red light can expedite the recovery following blue light exposure. These attributes underscore potential of the device for tasks encompassing color recognition, memory functions, and adaptation, suggesting promising prospects within artificial visual neural networks for ultraviolet and visible light sensing, transmission, and memory applications.
Geoelectric analysis for groundwater potential assessment and aquifer protection in a part of
Authors: Ejepu JS , Jimoh MO , Absuleiman S , Abdulfatai I.A , Musa ST , George NJ 
Published: October 2023

Abstract

Groundwater plays a crucial role in sustainable development. This study focuses on the challenges of potable water supply faced by the inhabitants of Shango area, northcentral Nigeria. The objective of this research is to identify suitable sites for new wells and boreholes by leveraging the geological and geoelectrical attributes of existing productive boreholes and hand-dug wells in the area. Vertical Electrical Sounding (VES) was employed to assess the groundwater potential, aquifer protective capacity and the corrosivity of the overburden units. The VES results revealed five subsurface geoelectric units, each exhibiting distinct characteristics contributing to the lithological variability of the research area. Hydraulic conductivity ranged from 0.465 to 0.534 m/day, while transmissivity varied from 9.589 m²/day to 26.029 m²/day across different VES points. Zones with thick layers and low resistivity values were indicative of high longitudinal conductivity. Regions with low protective capacity were found to be vulnerable to pollution and contamination from leaks, and waste sites. Conversely, regions with high protective capacity and sealing make groundwater pollution in such areas very difficult. Except for one VES point with low groundwater potential and limited withdrawal capacity for local water supply, the aquifers in the study area generally have intermediate designations. The study revealed that all VES points are in practically non-corrosive zones, making them suitable for burying underground tanks without extremely low deterioration rates. Based on geoelectrical characteristics, the study area was divided into three groundwater potential zones: low, medium, and high. These findings provide valuable insights into the groundwater potential and protective capacity of the Shango area, aiding in the sustainable management of water resources.
Network intrusion detection utilizing information entropy measurement-based LLE and weighted kernel extreme learning machine with CPSO
Authors: Yao Yuan , Chen Xi , Zhang Peng 
Published: October 2023

Abstract
In this study, network intrusion detection method of information entropy measurement-based LLE and weighted kernel extreme learning machine with CPSO (IEMLLE-CWKELM) is proposed for network intrusion detection. First of all, this article proposes an information entropy measurement-based locally linear embedding (IEMLLE) algorithm to reduce the features of network intrusion data. The IEMLLE algorithm is a dimensionality reduction algorithm based on information entropy measurement. The discrimination of the distribution of sample data of the different classes based on IEMLLE is higher than that based on locally linear embedding (LLE) algorithm. Moreover, this article proposes a weighted kernel extreme learning machine (CWKELM) algorithm, among which the use of kernel functions instead of hidden layer random feature maps containing activation functions is beneficial for improving the nonlinear processing ability and robustness of weighted extreme learning machine, and the chaos particle swarm optimization (CPSO) algorithm is proposed to optimize the penalty factor and the kernel parameter of weighted kernel extreme learning machine. The experimental results show that IEMLLE-CWKELM is the higher network intrusion detection accuracy than LLE-CWKELM, LLE-ELM, and principal component analysis- extreme learning machine (PCA-ELM).
A novel centrosome-related gene signature for predicting prognosis and treatment effect of lung adenocarcinoma
Authors: dahu ren , Lingxin Kong , Shuangqing Chen , zhonghui Hu , can Qi , Duan Guochen 
Published: October 2023

Abstract
Background
The structure or function of the centrosome can cause abnormal cell proliferation, leading to tumors. There is increasing evidence that the centrosome is closely associated with the occurrence and development of lung adenocarcinoma (LUAD). We aim to construct a new centrosome-related genes (CRGs) prognostic model in this study.
Methods
The gene expression data of LUAD can be downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We used the R to identify differentially expressed genes between normal and malignant lung tissues, constructed a CRGs risk score, evaluated the prognostic value of clinical data in different subgroups with different CRGs risk score signature to construct a CRGs risk model.
Result
A total of 779 CRGs were detected, and three genes related to prognosis were screened, including ID1, LATS2 and PRKCZ, and CRGs. Risk score was constructed based on these three genes, and its accuracy was verified in the GEO dataset. The prognosis is significantly lower in the high-risk group, and this feature can be used as an independent prognostic factor. In addition, the immune and mutation landscape between the different subgroups were found to be significantly different. We found that the Tumor Immune Dysfunction and Exclusion (TIDE) score of the high-risk group was significantly increased, indicating that the low-risk group is more likely to benefit from immunotherapy.
Conclusion
The research results suggest that the CRGs risk model may be a reliable prognostic model for personalized treatment of LUAD patients.
Urinary circular RNA panels to help diagnose hepatitisB virus–related hepatocellular carcinoma: a multi-center, large scale and case-control study
Authors: Xie Zijun , Gan Guangping , Zhou Guanlin , Zhang Jiabao , Ling Jiamin , Zhang Jianhong , Zeng Yijun 
Published: October 2023

Abstract
Background:
Over 60% of patients with hepatocellular carcinoma (HCC) do not receive curative therapitics due to late clinical manifestations and diagnosis. The 5-year survival rate for advanced HCC is around 2%. Curative therapies for early HCC can improve the 5-year survival rate to over 70%.We aimed to develop sensitive and noninvasive biomarkers in urine for detecting HCC.
Methods:
Totally, 1254 participants were recruited and randomly allocated into three independent cohorts [healthy controls, chronic hepatitis B (CHB), HBV-induced liver cirrhosis and HBV-related HCC].14 circular RNAs(circRNAs) were chosen as putative biomarkers in urine due to their differential expressions in HCC tissue and blood after analyzing related published reports. Their expression levels in urine were measure by quantitative polymerase chain reaction (qPCR). Logistic regression models were made using a training cohort (n = 312) and then validated using an independent cohort (n = 741). Area under the receiver operating characteristic (ROC) curve (AUC) was used to assess the diagnostic performances.
Results:
CircRNA panels (circ_0075792, circ_0005397 and circ_0000976) were obtained with high diagnostic performances of differentiating HCC from the three above control groups with sensitivities over 85% , specificity over 95% and AUC over 0.9.
Conclusions:
Urinary circRNA panels identified and validated from these results show desirable diagnostic performances for detecting HCC. Accordingly, HCC patients who would have otherwise missed the curative theraputic windows can benefit from the best theraputics.
Preparation and application of acrylic polymer modified magnetic starch adsorption materials
Authors: HOU Chengmin , Yan Weimin 
Published: October 2023

Abstract

Heavy metal ion wastewater is very harmful to human body and environment, and the adsorption materials used in traditional adsorption methods such as starch cellulose are easily hydrolyzed, resulting in secondary pollution to water. In this paper, acrylic polymers such as polyacrylate /polyglycidyl methacrylate/polyhydroxyethyl methacrylate were grafted onto magnetic starch by grafting polymerization to improve the hydrolysis and adsorption properties of starch. Acrylic polymers modified magnetic starch materials St/Fe3O4-g-pAA, St/Fe3O4-g-pHEMA and St/Fe3O4-g-pGMA were prepared, and their properties as adsorbents for Cu(II) removal were studied. The adsorption experiment results show that St/Fe3O4-g-pAA has the best adsorption performance under the same adsorption conditions. The maximum unit adsorption capacity of St/Fe3O4-g-pAA was 78.1 mg/g under the optimum adsorption conditions of 20 mg/L initial concentration of copper ion solution, pH value of solution 7 and adsorption time 160 min. St/Fe3O4-g-pGMA has the best stability and the best reproducibility and can retain 95.7% of the first adsorption effect after 8 adsorption cycles. The adsorption properties of St/Fe3O4-g-pHEMA are the least dependent on pH value. The adsorption processes of the three acrylic polymers modified magnetic starch adsorption materials all follow the Langmuir isotherm model, which is more consistent with the second-order II kinetic model, indicating that the three acrylic polymers modified magnetic starch adsorption materials are mainly chemisorbed and occur on the single molecular layer. The thermodynamics of adsorption process was studied and the data show that adsorption process belongs to endothermic reaction and temperature rise was conducive to adsorption.
The clinical relevance of surgical specimens for RNA sequencing in lung cancer: A cohort study
Authors: Eom Jung Seop , Kim Soo Han , Kim Kyungbin , Kim Ahrong , Ahn Hyo Yeong , Mok Jeongha , Cho Jeong Su , Lee Min Ki , Song Ju Sun , Kim Mi-Hyun 
Published: October 2023

Abstract
Background
Molecular screening using next-generation sequencing (NGS) in the pathologic evaluation of lung cancer is considered the standard in clinical practice; hence, we evaluated the diagnostic yields of various sampling methods for NGS.
Methods
NGS data from patients with lung cancer at the Pusan National University Hospital (Busan, South Korea), admitted October, 2020–April, 2023, was obtained. The sampling methods by which NGS data was obtained were divided into surgical and nonsurgical. Surgical methods included thoracoscopic surgery, surgical biopsy from the metastatic site, and lymph node excisional biopsy, whereas nonsurgical methods included bronchoscopy procedures and medical thoracoscopic biopsy.
Results
In total, we obtained 319 patients’ NGS data:150 (47.0%) and 169 (53.0%) was obtained using surgical and nonsurgical methods, respectively. The overall diagnostic yield of NGS analysis was 97.5% for all samples. There were no significant differences in the success rates of DNA sequencing between surgical and nonsurgical sampling methods (98.0% vs. 96.4%, p = 0.313). On the other hand, the success rate of RNA sequencing was significantly lower in the surgical method group (78.0% vs. 92.3%; p < 0.001). Multivariate analysis showed that surgical sampling significantly correlated with RNA sequencing failure (Odd Ratio 4.128, 95% Confidence Interval 1.681–10.133, p = 0.002).
Conclusions
Small samples obtained using nonsurgical procedures are suitable for NGS analysis in clinical practice. However, surgical sampling showed a relatively lower success rate for RNA sequencing than nonsurgical sampling. This information may help in the development of protocols to reduce RNA degradation during the surgical process.
Multimorbidity and patient experience with general practice: a mixed- methods study based on national survey in Norway
Authors: Norman Rebecka Maria , Jelin Elma , Bjertnaes Oyvind 
Published: October 2023

Abstract
Background
Patient experience is an important indicator of the quality of healthcare. Patients with multimorbidity often face adverse health outcomes and increased healthcare utilisation. General practitioners play a crucial role in managing these patients. The main aim of our mixed-methods study was to perform an in-depth assessment of differences in patient-reported experience with general practice between patients living with chronic conditions and multimorbidity, and those with no chronic conditions.
Methods
We performed secondary analyses of a national survey of patient experience with general practice in 2021 (response rate 41.9%, n = 7,912). We described the characteristics of all survey respondents with no, one, two, and three or more self-reported chronic conditions. We assessed patient experience using four scales from the Norwegian patient experience with GP questionnaire (PEQ-GP). These scales were used as dependent variables in bivariate and multivariate analyses and for testing the measurement model, including confirmatory factor analysis and a multigroup CFA to assess measurement invariance. Qualitative content analysis of open-ended comments was also performed.
Results
Patients with chronic conditions consistently reported lower scores on the GP and GP practice experience scales, compared to those without chronic conditions. This pattern persisted even after adjustment for patient background variables. The strongest associations were found for the scale of “Enablement”, followed by the scales of “GP” and “Practice”. The subscale “Accessibility” did not correlate significantly with any number of chronic conditions. Qualitative analysis of free-text comments echoed the quantitative results. Patients with multimorbidity stressed the importance of time spent on consultations, meeting the same GP, follow-up and relationship more often than patients with no chronic conditions. Our study also confirmed measurement invariance across patients with no chronic conditions and patients with multimorbidity, indicating that the observed differences in patient experience were a result of true differences, rather than artifacts of measurement bias.
Conclusions
The findings highlight the need for the healthcare system to provide customised support for patients with chronic conditions and multimorbidity, while seeking to maintain equitable quality of care for all patients. Addressing the specific needs of patients with multimorbidity is a critical step towards enhancing patient experience and the quality of care in general practice.
Is bladder outlet obstruction rat model to induce overactive bladder (OAB) has similarity to human OAB? : Research on the events in smooth muscle, collagen, interstitial cell and telocyte expression
Authors: Wishahi Mohamed , Hassan Sarah , kamal Nabawya , Badawy Mohamed , Hafiz Ehab 
Published: October 2023

Abstract

BackgroundCellular and cytoskeletal events of overactive bladder (OAB) have not been sufficiently explored in human bladder due to different limitations. Bladder outlet obstruction (BOO) had been induced with different methods to induce overactive bladder (OAB). Similarity of the animal models of BOO to the human OAB is postulated, but has not been confirmed. The interstitial cells of cajal (ICCs) and telocyted (TCs) is an important player in smooth muscles conductivity, they had not been well investigated in previous works.Objectivesinvestigating the morphological pattern of cellular, cytoskeleton and telocyte expression in BOO rat model and compare it to the findings in real-world human OAB.MethodsFemale Sprague-Dawley rats were randomly divided into BOO group (n = 20), and control group (n = 10). Sex weeks and 8 week were chosen to evaluate the effect of time of BOO on the bladder changes. After 6 weeks (n= 10) and 8 weeks (n=10) of induction of BOO, and the control-sham group (n= 10) the bladder was examined with histopathologically, immunohistochemistry (IHC), and transmission electron microscopy (EM). The dataset of human OAB were extracted from an open access published data comprised 5 cases of OAB that undergone similar investigations.ResultsAnimal model: Histological examination of the bladder wall after 6 & 8 weeks of BOO shows thinner urothelium, and condensation of collagen between muscle bundles. IHC with c-Kit shows excess expressed of ICCs between smooth muscle bundles. EM shows frequent expression TCs that were situated between collagen fibers. The dataset of human OAB there was similarity to the finding in the animal model. Human OAB: showed similar findings.ConclusionThe animal model study demonstrated increased collagen/ smooth muscle ratio, high intensity of ICCs and presence of TCs. In the human study, identical investigations showed similarities in the changes of smooth muscle cells and cytoskeleton. These findings confirm that a minimillally invasive procedure to induce BOO to result in an OAB has a morphological similarity to the human OAB. The expression of TCs in both animal model and human OAB warrant further study to define its role in OAB.
On the inverse Möbius transformation and the partitions into distinct parts
Authors: Simbron Romulo Leoncio Cruz 
Published: October 2023

Abstract
The inverse Möbius transformation is a bijection between two sequences. We present here a tree representation that allow us to appreciate the order inherent to this operation and its relationship with the functions like the integer partitions in distinct part (D(n)) or the smallest or largest terms in a partition.
An Analysis of Discourse Markers Used by Pakistani Presidents/Prime Ministers in Their Speeches at UN General Assembly Sessions
Authors: Maqsood Adnan 
Published: October 2023

Abstract
This study examines the use of discourse markers (DMs) in Pakistani political speeches at the United Nations General Assembly. The study analysed six political speech transcripts for discourse markers, categorised them by their functions, and used Fung and Carter's framework (2007) for classification and examined with the perspective of critical discourse analysis (CDA). The research aims to analyse the discoursal aspects of the political genre and highlight the significance of DMs as a linguistic strategy in political communication. The study's findings reveal that DMs are critical in projecting confidence and authority while avoiding markers that isolate or estrange specific audience segments. Both democratic and dictatorial leaders use interpersonal markers to establish rapport with their audience. Continuation markers play a crucial role in ensuring the coherence and continuity of ideas in their political speeches. This study underscores the strategic use of DMs in political communication and its implications for shaping the persuasive message conveyed by politicians to their audience. It highlights the crucial role of DMs in political discourse and underscores the importance of studying them to gain a deeper understanding of the political genre. Overall, this research provides valuable insights into the use of DMs in political speeches and their role in shaping the persuasive message of politicians to their audience.
Implementation of Delineation Error Detection Systems in Clinical Practice: Do AI-Supported Optimization and Human Preferences Meet?
Authors: Chaves-de-Plaza Nicolas F. , Mody Prerak , Hildebrandt Klaus , Staring Marius , Astreinidou Eleftheria , de Ridder Mischa , de Ridder Huib , Vilanova Anna , Egmond René van 
Published: October 2023

Abstract

Artificial Intelligence (AI)-based auto-delineation technologies rapidly delineate multiple structures of interest like organs-at-risk and tumors in 3D medical images, reducing personnel load and facilitating time-critical therapies. Despite its accuracy, the AI may produce flawed delineations, requiring clinician attention. Quality assessment (QA) of these delineations is laborious and demanding. Delineation error detection systems aim to aid QA, yet questions linger about clinician adoption, challenges, and time-saving potential. In this study, we address these queries in two stages. First, we investigate the error detection workflow of a radiotherapy technologist and a radiation oncologist from Holland Proton Therapy Center, a Dutch cancer treatment center. The user study revealed which information sources clinicians prefer to use for the error prioritization task and elucidated clinicians' slice-based navigation workflows with and without system assistance. Based on the findings from the user study, we developed a simulation model of the QA process, which we used to assess different error detection workflows on a retrospective cohort of 42 head and neck cancer patients. The simulation study results indicate potential time savings through error and dose information, contingent on per-slice analysis time remaining near the current baseline. Our findings encourage the development of user-centric delineation error detection systems and provide a new way to model and evaluate these systems' potential clinical value.