bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbon Black Wood Fiber for Efficient and Low Humidity Moisture-Enabled Electric Generation
Authors: Zhang Tao , Han Xuewen , Peng Yukang , Yu Han , Pu Junwen 
Published: November 2023

Abstract
With the rapid development of modern society, our demand for energy is increasing. And the extensive use of fossil energy has triggered a series of problems such as energy crisis and environmental pollution. Moisture-enabled electric generator (MEG) is a new type of energy conversion method, which can directly convert the ubiquitous moisture in the air into electrical energy equipment. It has attracted great interest for its renewable and environmentally friendly qualities. At present, most MEGs still have low power density, strong dependence on high humidity, and high cost. Herein, we report the development of a high-efficiency MEG with high power density, all-weather, and low cost using a simple strategy that optimizes the charge transport channel and ion concentration difference. The MEG devices we manufactured can generate the open-circuit voltage of 0.73V and the short-circuit current of 360μA, voltage can still reach 0.6V at less than 30% humidity. It is possible to drive commercial electronic devices such as light-emitting diodes, electronic displays, and electronic calculators by simply connecting several electric generators in series. Biomass-based moisture-enabled electric generation have low cost, is easy to integrate on a large scale, and is green and pollution-free, providing clean energy for low humidity or high electricity cost areas.
How do Adult-Child Caregivers Maintain Subjective Well-Being? The Reciprocal Suppression Effect from Caregiver Burden and Sense of Coherence
Authors: Ma Xinyue , Zheng Peiqi , Guo Ruiyuan , Du Mengqi , Ran Lingyun 
Published: November 2023

Abstract

Background: Adult children are primarily responsible for the older adults of the family in China. It remained in the question how caregiver burden not necessarily poses a threat on adult children’s subjective well-being. This study aimed to examine the interacting effect between caregiver burden and sense of coherence on maintaining subjective well-being among adult-child caregivers.
Methods: A total of 336 adult-child caregivers participated in this study. The Zarit Burden Interview (ZBI), Sense of Coherence scale (SOC-13), and Memorial University of Newfoundland Scale of Happiness (MUNSH) were used to measure participants’ caregiver burden, sense of coherence, and subjective well-being respectively.
Results: Results showed that when sense of coherence was included, the negative effect of caregiver burden on subjective well-being increased from - .279 to - .310. Likewise, when caregiver burden was included, the positive effect of sense of coherence on subjective well-being increased from .256 to .352. The analysis of hierarchical regression towards subjective well-being indicated that caregiver burden explained 15.1% of the variance (ΔR2 = .151, p < .01) while sense of coherence explained 5.6% (ΔR2 = .056, p < .01).
Conclusion: This study explored the reciprocal suppression effect between caregiver burden and sense of coherence to the maintenance of the subjective well-being of adult-child caregivers in China. According to this study, adult children who take on the role of caregiving can maintain adequate subjective well-being by strengthening their intrinsic psychological resource - sense of coherence.
Halo sign and reverse halo sign in a patient with primary lung adenocarcinoma; a case report
Authors: Ebrahimi Pouyan , Jamaati Hamidreza , Soleimani Amir Morteza 
Published: November 2023

Abstract
Introduction: The halo sign and reverse halo sign are two computerized tomography scan views based on the placement of ground glass opacity. These two views have various differential diagnoses, but infections are known to be the most important differential diagnosis in both views. Lung adenocarcinoma, one of the deadliest tumors of both genders, can be included in the differential diagnosis. Nevertheless, we decided to report this case since both of these features were present in the same patient.
Case presentation: He is a 51-year-old man who came to us with gradual symptoms such as shortness of breath and myalgia, with a history of smoking and coronavirus disease 2019, and in his computerized tomography scan, two views of halo sign and reverse halo sign were seen along with other lesions. In further investigations, due to his lack of recovery, a biopsy was prepared, and with a definitive diagnosis of lung adenocarcinoma, we treated the patient appropriately.
Conclusion: When a patient presents with halo sign and reverse halo sign on computerized tomography scan and smokes, it is necessary to take a biopsy of the observed lesions to rule out primary lung carcinoma.
Academic involution and mental internal friction of college students: the mediating role of academic stress and the moderating role of rumination
Authors: Liu Aichun , Wang Yi , Chen Zhaojun , Ni Jianchao 
Published: November 2023

Abstract
With the continuous development of society and the increasing intensity of competition, the issues of academic stress and mental internal friction among college students have become increasingly prominent. This phenomenon not only affects the physical and mental health of college students but also has profound implications for their academic performance and interpersonal relationships. This study aims to explore the relationships and underlying mechanisms between academic involution, mental internal friction, academic stress, and rumination. The research involved 626 college students and utilized the Academic Involution Scale, Mental Internal Friction Scale, Academic Stress Sources Scale, and Rumination Scale to collect data and establish a moderated mediation model. The results indicate that: (1) academic involution positively predicts mental internal friction; (2) academic stress plays a full mediating role in the relationship between academic involution and mental internal friction; (3) rumination moderates the pathway through which academic involution affects mental internal friction via academic stress. The study further illuminates the nature of understanding academic involution and mental internal friction issues in college students, providing theoretical support and practical guidance for higher education professionals in formulating effective intervention measures.
The Psychometric Property of the Thai Version of the Zuckerman–Kuhlman-Aluja Personality Questionnaire (ZKA-PQ)
Authors: Wongpakaran Tinakon , Wongpakaran Nahathai , Kövi Zsuzsanna 
Published: November 2023

Abstract

The Five-Factor Model of personality traits has consistently demonstrated expected associations with features of psychiatric disorders, both within the general population and clinical settings. In pursuit of a more nuanced understanding, facet-level assessments like the Zuckerman–Kuhlman–Aluja Personality Questionnaire (ZKA-PQ) offer deeper insights with their facets. However, it's noteworthy that the applicability of the ZKA-PQ to the Thai population remains untested. Our hypothesis centered on the idea that the ZKA-PQ would show anticipated correlations with perceived stress, depression, and neuroticism within the broader Thai population. Consequently, we enrolled 1382 participants from various backgrounds to partake in assessments, including the ZKA-PQ, the Perceived Stress Scale, the Core Symptom Index-Depression, and the Neuroticism Inventory. Our findings offered support for ZKA-PQ's overarching personality traits but not at the facet level. In alignment with observations in other non-Western cultures, it became evident that the Sensation Seeking and Activity facets exhibited sensitivity to the Thai population's dynamics. In light of these outcomes, further exploration to enhance the appropriateness of the Thai ZKA-PQ is merited. This pursuit could potentially illuminate cultural nuances that shape personality traits and their interplay within the Thai context.
Screening of aroma-producing performance of anticlostridial Lacticaseibacillus casei strains for use as adjunct cultures in cheesemaking
Authors: Renoldi Niccolò , Innocente Nadia , Rossi Anna , Brasca Milena , Morandi Stefano , Marino Marilena 
Published: November 2023

Abstract
The cheesemaking industry is increasingly interested in using adjunct cultures with potential aromatic and anticlostridial activities. In this study, 34 Lb. paracasei and 2 Lb. rhamnosus strains were isolated from a semi-hard cheese and characterized for their proteolytic, esterase, and anticlostridial activity. Moreover, the strains were inoculated in a curd-based medium and the volatile compounds in the headspace of samples were evaluated by SPME-GC-MS analysis. Proteolytic activity was present in 30 strains, whereas only one Lb. paracasei strain showed esterase activity. All strains inhibited Cl. sporogenes, Cl. beijerinckii, and Cl. butyricum, and 18 isolates inhibited at least one Cl. tyrobutyricum strain. Principal component analysis and clustering analysis based on the volatilome grouped strains into three groups. One of these groups was characterized by high amounts of acids and esters and clustered with control samples inoculated with commercial starter cultures, suggesting similarity in the aroma profile. Strains belonging to this group with inhibitory effects against Cl. tyrobutyricum might be exploited as autochthonous adjunct cultures for the reduction of late-blowing defects in semi-hard cheeses.
New Nighttime Dehazing Algorithm Based On Dark Channel Prior Enhancement
Authors: Ji Bin , Zheng Shuai , Chen Ze , Zhou Chuhao 
Published: November 2023

Abstract
Due to various sources of interference in nighttime haze scenes,the resulting dehazed images are generally dim and dull,with diffuse illumination sources and a poor signal-to-noise ratio when compared with daytime haze scenes.In this paper,we propose a new method for nighttime dehazing using dark channel prior(DCP) enhancement.Firstly,to mitigate the effects of highlight sources and pseudo-light source regions on ambient illumination estimation,a hybrid processing method is introduced combines side window box filtering and fast edge preserving filtering to pre-process nighttime haze images.The ambient illumination estimate of the image is derived based on the DCP theory.Secondly,the adaptive light source matrix mechanism is used to fuse and enhance the transmit-tance of light source and non-light source regions to further improve the initial transmittance problem of the image.After processing,the transmittance map is compensated by gamma correction for the light source.Finally,we replace the atmospheric scattering model to obtain a better dehazed image.The nighttime dehazing method was compared with other image dehazing methods,and significant improvements were found in both subjective and objective evaluations.The obtained images are more in line with the visual characteristics of human eyes,and the evaluation indexes such as PSNR,SSIM and NIQE have been improved.
A novel miR-490-3p/hnRNPA1-b/PKM2 axis intermediates the Warburg effect and proliferation of colon cancer via PI3K/AKT pathway
Authors: Wan Xianghui , Jin Guobing , Yang Qun , Hu Jilong , Liu Zhiliang , Rao Jun , Wen Can , Li Pengling , Yang Ximei , Huang Bo , Wang Xiaozhong 
Published: November 2023

Abstract
Background
Heterogeneous ribonucleoprotein A1 (hnRNPA1) has been reported to enhance Warburg effect and promote colon cancer (CC) proliferation, but the role and mechanism of miR-490-3p/hnRNPA1-b/PKM2 axis in CC are not yet elucidated.
Methods
Paraffin-embedded pathological sections from 220 colon cancer patients were collected and subjected to immunohistochemical analysis to determine the expression of hnRNPA1-b. The relationship between the expression values and the clinicopathological features of the patients was investigated. Differences in mRNA expression were analyzed using qPCR, while differences in protein expression were analyzed using Western blot. Cell proliferation was evaluated using CCK8 and EdU assays, and cell cycle and apoptosis were assessed using flow cytometric assays. The targeted binding of miR-490-3p to hnRNPA1-b was validated using a dual luciferase reporter assay. Warburg effect was evaluated through glucose uptake and lactic acid production assays.
Results
The expression of hnRNPA1-b was significantly increased in CC tissues and cells compared to normal controls (P < 0.05). Immunohistochemical results demonstrated significant variations in the expression of the hnRNPA1-b antigen among different stages of CC, including stage I, II-III, and IV. Furthermore, the clinicopathologic characterization revealed a significant correlation between hnRNPA1-b expression and clinical stage as well as T classification. HnRNPA1-b was found to enhance the Warburg effect through the PI3K/AKT pathway, thereby promoting proliferation of HCT116 and SW620 cells. However, the proliferation of HCT116 and SW620 cells was inhibited when miR-140-3p targeted and bound to hnRNPA1-b, effectively blocking the Warburg effect.
Conclusion
These findings suggest that the novel miR-490-3p/hnRNPA1-b/PKM2 axis could provide a new strategy for the diagnosis and treatment of CC.
A Series Representation of Analytically Continuous Complex Functions with Negative Powers
Authors: Hardy Devin 
Published: November 2023

Abstract
First a proof of Taylor’s Theorem is established by Integration by Parts, and then generalization of the IBPformula to ℂ is used to derive Taylor’s Theorem for Complex numbers 𝑧. A similar method to that which is used toderive Taylor’s Theorem is used to derive a Complex valued series representation similar to the Taylor Series but fornegative powers.
Assessment of the relationship between thyroid function and panic disorder: A mendelian randomization study
Authors: Yu Sijie , Shen Chongkai , Zhu Junpeng 
Published: November 2023

Abstract

Background
Multiple observational studies have indicated a correlation between thyroid function and the risk of panic disorder (PD). Nevertheless, the causality surrounding this association remains unclear. Our objective was to evaluate the causality between thyroid function and the risk of PD by employing Mendelian randomization (MR).
Methods
We employed publicly available genome-wide association studies (GWAS) to select single nucleotide polymorphisms (SNPs) that are associated with various aspects of thyroid function (hyperthyroidism, hypothyroidism, FT4, TSH, TPOAb, and thyroid nodules). The statistical data on panic disorder were obtained from the FinnGen consortium. To assess causality, we utilized the inverse variance weighted (IVW) method, MR-Egger method and weighted median (WM) method for the MR estimates. Sensitivity analyses were conducted using Cochran’s Q test, MR-Egger intercept, MR-Pleiotropy Residual Sum and Outlier method, leave-one-out analysis, and funnel plot.
Results
The genetically predicted presence of hyperthyroidism showed an inverse association with PD as evident from the IVW OR of 0.93 (95% CI: 0.87–0.98; P = 0.01).However, our findings did not indicate any causal effects of variation in FT4 (OR: 0.78, 95%CI: 0.78–1.27; P = 1)、TSH (OR: 1.03, 95%CI: 0.83–1.28; P = 0.77)、TPOAb (OR: 0.9, 95%CI: 0.47–1.72; P = 0.75)、hypothyroidism (OR: 0.57, 95%CI: 0.01–50.54; P = 0.81) and thyroid nodules (OR: 1.02, 95%CI: 0.91–1.14; P = 0.76) on PD risk.
Conclusions
In summary, Our findings indicated a significant inverse correlation between hyperthyroidism and PD risk, with no discernible causal impacts of alterations in FT4、TSH、TPOAb、hypothyroidism and thyroid nodules on PD risk. It may suggest that most thyroid function may not be the etiological factor of PD, further studies are needed to verify our results in the real world.
Sustaining our rural allied health workforce: Experiences and impacts of the allied health rural generalist pathway
Authors: Dymmott Alison , George Stacey , Campbell Narelle , Brebner Chris 
Published: November 2023

Abstract

Introduction: Rural and remote communities face significant disadvantages accessing health services and have a high risk of poor health outcomes. Workforce challenges in these areas are multifaceted, with allied health professionals requiring broad skills and knowledge to provide vital services to local communities. To develop the expertise for rural and remote practice, the allied health rural generalist pathway (AHRGP) was introduced to develop and recognise specialist skills and knowledge required for rural and remote practice, however the experiences of professionals has not been explored. This study gained the experiences and perceptions of allied health professionals undertaking the pathway as well as their clinical supervisors, line managers, profession leads and consumer representatives.
Methods: A qualitative study was undertaken drawing on pragmatic approaches across four research phases. This study was one component of a larger mixed methods study investigating the experience, impact and outcomes of the AHRGP across six regional Local Health Networks in South Australia. Interviews, surveys and focus groups were conducted to explore the perceptions and experiences of participants. Data was analysed thematically across participant groups and research phases.
Results: A total of 55 participants participated including 15 trainees, 13 line managers, nine clinical supervisors, six profession leads, four program managers and seven consumer representatives. Five themes emerged from the data; gaining broad skills and knowledge for rural practice, finding the time to manage the pathway, implementing learning into practice, the AHRGP impacts the whole team and confident, consistent, skilled allied health professionals positively impact consumers.
Conclusion: The AHRGP is offering allied health professionals the opportunity to develop skills and knowledge for rural and remote practice. It is also having positive impacts on individuals’ ability to manage complexity and solve problems. Findings indicated consumers and organisations benefited through the provision of more accessible, consistent, and high quality services provided by trainees. Trainees’ faced challenges finding the time to manage study and to implement learning into practice. Organisations would benefit from clearer support structures and resourcing to support the pathway into the future. Incentives and career advancement opportunities for graduates would strengthen the overall value of the AHRPG.
YOLOInvoiceWizard: Revolutionizing Invoice Generation through Object Detection
Authors: Teja G , Desu Sashank , Vamsikrishna Manne , Kumar Narendra , Siri Dharmapuri 
Published: November 2023

Abstract

This research paper introduces a novel approach to streamline the customer checkout process in retail stores through the integration of computer vision technology using YOLOv8 for object detection. The project's focus lies in facilitating efficient invoice generation by detecting products, identifying them accurately, and seamlessly adding them to a web-based graphical user interface (GUI) shopping cart. The proposed system aims to change the conventional billing procedure by leveraging computer vision capabilities to expedite the checkout process, minimizing customer wait times, and reducing human errors during billing. By harnessing the power of YOLOv8, a state-of-the-art object detection model, the system can identify various products placed on the counter. The detected items are added into a user-friendly web GUI cart that allows customers to conveniently track their selections while navigating the store. The integration of computer vision and web technology creates a unique and delightful customer experience during the checkout process, contributing to increased customer satisfaction and loyalty. The potential benefits of this project are multifaceted, encompassing reduced wait times at the billing counter, enhanced accuracy in billing processes, and overall improved efficiency in retail operations. The research paper concludes with a detailed evaluation of the prototype system's performance, validating its effectiveness in enhancing customer experiences and optimizing billing procedures in a real-world retail environment. This paper contributes to the advancement of computer vision applications in the retail sector, setting the stage for future innovations in customer-centric shopping experiences.
miMic - a novel multi-layer statistical test for microbiome disease
Authors: Shtossel Oshrit , Louzoun Yoram 
Published: November 2023

Abstract
Differential abundance analysis is at the core of microbiome statistical analysis. However, microbial data presents three prominent challenges: The microbiome data is sparse and most species are absent from most samples. The microbial abundances vary across different scales. There are inner relations between different taxa, reflecting the taxonomic structure. A microbiome statistical test should handle these three challenges.

Here, we introduce miMic (Mann-Whitney iMage Microbiome), a straightforward yet remarkably versatile and scalable approach that effectively addresses compositional effects and inherent taxonomic relationships. miMic consists of three main steps: data preprocessing and translation to a cladogram of means, an apriori nested ANOVA to detect overall microbiome-condition (label) relations, and a post hoc miMic test along the cladogram trajectories.

We propose a novel metric for an unbiased comparison of methods in the case of missing ground truth and show that miMic drastically decreases the False positive rate while preserving the total positive rate. Using an analytical test case, simulations, and real-world examples, we demonstrate the accuracy of miMic compared to existing methods.
Prediction of maximum scour depth in river bends by the Stacking model
Authors: Chen Junfeng , Zhou Xiaoquan , Xiao Lirong , Huang Yuhang 
Published: November 2023

Abstract

The accurate prediction of maximum erosion depth in riverbeds is crucial for early protection of bank slopes. In this study, K-means clustering analysis was used for outlier identification and feature selection, resulting in Plan 1 with six influential features. Plan 2 included features selected by existing methods. Regression models were built using Support Vector Regression, Random Forest Regression (RF Regression), and eXtreme Gradient Boosting on sample data from Plan 1 and Plan 2. To enhance accuracy, a Stacking method with a feed-forward neural network was introduced as the meta-learner. Model performance was evaluated using root mean squared error, mean absolute error, mean absolute percentage error, and R2 coefficients. The results demonstrate that the performance of the three models in Plan 1 outperformed that of Plan 2, with improvements in R2 values of 0.0025, 0.0423, and 0.0205, respectively. Among the three regression models in Plan 1, RF Regression performs the best with an R2 value of 0.9149 but still lower than the 0.9389 achieved by the Stacking fusion model. Compared to the existing formulas, the Stacking model exhibits superior predictive performance. This study verifies the effectiveness of combining clustering analysis, feature selection, and the Stacking method in predicting maximum scour depth in bends, providing a novel approach for bank protection design.