bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bridging the Gap Between Community Health Workers’ Digital Health Acceptance and Actual Usage in Uganda: Exploring Key External Factors based on Technology Acceptance Model.
Authors: Miiro Chraish , Oyama Chisato , Aoki Yuma , Andrew Ddembe , Nishio Momani , Shi Shoi , Yakura Hiromu 
Published: November 2023

Abstract
Background
Community health systems are poised to play a prominent role in achieving universal health coverage in low- and middle-income countries, as demonstrated during the COVID-19 pandemic response. The advent of health information technology has provided an opportunity to optimize the community health space and improve efficiency. However, there is limited knowledge about the acceptance and usage of health information technology among community health workers, a prerequisite for scaled implementation.
We aimed to use the technology acceptance model (TAM) to predict the acceptance and usage of health information technology among CHWs, identify external factors and understand the impact on community health systems.
Methods
We conducted semistructured interviews with community health workers who were recruited through both convenience and snowball sampling. Data were entered using an ODK form. Codes were induced or deduced from open-ended responses. Cross-tabulation, correlation and regression analysis was performed using SPSS version 28.
Results
The technology acceptance model was a good predictor of behavioral intention to use digital health tools among CHWs. However, actual usage was not well predicted, and there was a mismatch between high behavioral intention and low actual usage. Access to smartphones was found to have an oversized influence on the actual usage of digital health tools.
Conclusion
According to TAM, CHWs have accepted the use of digital health tools but are limited by access to smartphones. There is also a need to ensure equitable digitization of community health systems. Last, the study further emphasizes the impact of digital health tools on community health systems.
Pulmonary fibrosis secondary to treated pulmonary tuberculosis in a 56-year-old female with hypertension: A case report
Authors: Jayte Mohamed Abdi 
Published: November 2023

Abstract
Background:Pulmonary fibrosis is a known complication of pulmonary tuberculosis (TB) despite successful treatment. We present a case of pulmonary fibrosis secondary to treated pulmonary TB.
Case Presentation: A 56-year-old female with history of treated pulmonary TB 2 years prior presented with progressive dyspnea. She was diagnosed with pulmonary fibrosis presumed secondary to her prior TB. Despite treatment with steroids and immunosuppressants, her condition worsened leading to respiratory failure.
Conclusion:This case highlights the potential morbidity of pulmonary fibrosis as a long-term complication of pulmonary TB, even after microbiological cure. Monitoring for complications like fibrosis should be considered in TB recovery.
Fear Transition in Public Transport Behaviors During the Peak of the Pandemic
Authors: Truong Dothang , Lee Sang-A 
Published: November 2023

Abstract
July 2021 marks a pivotal peak in the COVID-19 pandemic, characterized by the rapid propagation of the highly contagious and fatal Delta variant. Intriguingly, data reveals that contrary to expectations, public transport activity not only persisted but escalated during this critical phase. A crucial unanswered question arises: how did individuals' public transport behaviors shift and what drove these changes in response to their fears of COVID-19 and financial instability? This study aims to bridge these gaps in the existing literature by delving into the dynamics of public transport behaviors during the peak of the pandemic and the driving factors behind these changes. We examined transport behaviors from a unique perspective, changes in public transport behaviors over time, by introducing two novel dependent variables: the alteration in individuals’ actual use of public transport and their short-term transport plan. The theoretical model is underpinned by the theory of fear appeal and incorporates two primary independent variables, fears for health and fears for financial conditions. Logistic regression analysis was conducted using survey data collected in the United States between June and July 2021. The results indicated the significant impacts of fears for health and fears for financial conditions on the changes in public transport behaviors. A noteworthy discovery is the fluid and dynamic nature of fears; they are no longer confined to a static state but evolve rapidly over brief periods. This novel facet, denoted as "fear transition," emerges as a key factor in understanding the dynamic transport behaviors amid the pandemic.
Platform Perils: The winners curse on B2C consumer lending platforms
Authors: Reite Endre J. , Prestmo Joakim Blix 
Published: November 2023

Abstract

This article compares the estimate of credit risk and actual defaults on unsecured loans originating from a B2C lending platform to a bank with those taken directly from the same bank. Our study expands on earlier research by comparing credit scoring and default-level differences through simulations of banks’ bidding process for a loan with similar credit risk models. We find that banks systematically and significantly underestimate the risk of loan applications through the B2C lending platform. The bank also experiences a disproportional loss of profitable clients on platform loans. Credit risk models from direct lending should be adjusted for this bias before they are employed in platform lending. Both effects can be linked to a winner’s curse, consistent with both theory and simulations, which have not previously been explored.
Prescribed fire in fire-prone landscapes: tickling the dragon's tail
Authors: Short Henry 
Published: November 2023

Abstract
The important forest understory layer is where leaf and woody litters accumulate, decompose, and provide components that enhance soil fertility and future tree growth; where intact litter provides cover habitat for some faunal species; and where the food chains of some vertebrate wildlife species originate. Fire, including prescribed fire, if of moderate or high severity, can adversely affect all those processes. While prescribed fire is a useful tree culture tool in habitats where low intensity surface fires can be controlled, prescribed fire can be a substantial environmental risk when used in fire-prone landscapes where surface fires may become severe and difficult to control.
Cu-MOF-derived Cu2V2O7@C nanofilm for electrochromic properties
Authors: Dong Jinxiu , Cui Shichuang , Wang Fei , Wei Wei , Yin Ziluo , Zhang Yuqing , Zhu Quanyao 
Published: November 2023

Abstract
Electrochromism (EC) is an emerging energy conversion technology, in which vanadium pentoxide (V2O5) is a promising material for electrochromic applications due to its excellent ionic intercalation/deintercalation properties and cathodic/anodic color-changing properties. However, its poor cycling stability and color change response rate limit its practical application. Metal-organic frameworks (MOFs) combine the rigidity and flexibility of inorganic-organic materials and can meet the requirements of EC materials such as cycle stability, electrical conductivity, and stress-interference resistance. We report here a strategy to modify V2O5 with CuMOF. Cu-doped V2O5 and carbon skeleton (Cu2V2O7@C) composites were prepared for electrochromism. In this scheme, Cu doping can facilitate lithium ion migration by broadening and stabilizing the structure of V2O5, and the distribution of the carbon skeleton can broaden the contact of the active material with the electrolyte and improve the electron conduction. Combining these merits, it exhibits excellent long-term cycle stability (the capacity retention rate reaches 91.78% after 2000 cycles), the light transmission modulation is greatly improved compared with V2O5 (ΔT = 69%, doubled), and the response time is reduced by 30.43%. This study provides a new perspective for improving the light modulation ability and long-term use stability of vanadium oxide EC materials and promotes the development of MOFs materials in the field of electrochromism.
Absence of Nitrogen regulatory protein C affects the growth physiology of Salmonella Typhimurium by limiting glucose transport in the cell
Authors: Mishra L K , Shashidhar R 
Published: November 2023

Abstract
The NtrC is crucial for nitrogen regulation in S. Typhimurium. Under nitrogen limitation, NtrC activates the set of genes involved in ameliorating the slowing of growth. Schumacher et al (2013) demonstrated that ntrC mutation increases intracellular concentration of α-KG in the cell. Another report explained that α-KG inhibits (Enzyme 1) E1 protein. Taking this as a clue, we studied the glucose uptake of ΔntrC. Indeed, the ΔntrC was slow to uptake the glucose. It also showed smaller colonies and reduced cell size in an optimum glucose medium. The transcriptome studies in carbon and nitrogen rich medium, showed suppressed nitrogen transport and metabolism genes, and induction of maltose operon genes (encoding high affinity glucose transporters) in ΔntrC. Despite having suppressed nitrogen transport and metabolism genes in ΔntrC, there was no significant difference in nitrogen (ammonia) utilization between WT and ΔntrC. Hence, we show that, ΔntrC having hampered glucose transport but normal expression of glucose metabolism genes, exhibits glucose limiting growth (intracellular glucose deficiency). Consequently, generate hunger response (small cell size, slow growth rate and induced maltose operon genes) even during growth in glucose rich medium. Therefore, the current work adds evidence for intricate overlapping control of nitrogen and carbon metabolism.
Evaluating the Psychometric Properties of the Simplified Chinese Version of PROMIS-29 in Patients with Hematologic Malignancies
Authors: Zhang Qianqian , Zhao Jinying , Liu Yating , Cui Yan , Wang Wen , Li Junjie , Liu Yanxia , Tian Fei , Wang Zhixin , Zhang Huijuan , Liu Guiying , Wu Yun , Li Qiuhuan , Hu Tingyu , Zhang Wen , Xie Wenjun 
Published: November 2023

Abstract
Background
The patient-reported outcomes measurement information system 29-item profile (PROMIS-29) is a widely utilized self-reported instrument for assessing health outcomes from the patients’ perspectives. This study aimed to evaluate the psychometric properties of the PROMIS-29 Chinese version among patients with hematological malignancy.
Methods
Conducted as a cross-sectional, this research was approved by the Medical Ethical Committee of the Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (registration number QTJC2022002-EC-1). We employed convenience sampling to enroll eligible patients with hematological malignancy from four tertiary hospitals in Tianjin, Shandong, Jiangsu, and Anhui province in China between June and August 2023. Participants were asked to complete a socio-demographic information questionnaire, the PROMIS-29, and the Functional Assessment of Cancer Therapy-General (FACT-G). We assessed the reliability, ceiling and floor effects, structural, convergent discriminant and criterion validity of the PROMIS-29 profile.
Results
A total of 354 patients with a mean age of 46.93 years was included in the final analysis. The reliability of the PROMIS-29 was affirmed, with Cronbach’s α for the domains ranging from 0.787 to 0.968. Some domains exhibited floor and ceiling effects. Criterion validity was supported by significant correlations between the PROMIS-29 and FACT-G scores, as determined by the Spearman correlation test(P＜0.01). Confirmatory factor analysis (CFA) indicated a good model fit, with indices of χ2/df (2.602), IFI (0.960) ,and RMSEA (0.067). The Average Variance Extracted (AVE) values for the seven dimensions of PROMIS-29, ranging from 0.500 to 0.910, demonstrated satisfactory convergent validity. Discriminant validity was confirmed by ideal √AVE values.
Conclusion
The Chinese version of the PROMIS-29 profile has been validated as an effective instrument for assessing symptoms and functions in patients with hematological malignancy, underscoring its reliability and applicability in this specific patient group.
MoCoSys: Human Motion Correction based on Deep Learning Coupled with 3D+t Laplacian Motion Representation
Authors: Tchenegnon Mansour , Gibet Sylvie , Naour Thibaut Le 
Published: November 2023

Abstract
In this paper, we present a 3D motion correction system posterior to 3D pose estimation from video. Our approach, relying on a 3D human pose estimator taken from the literature, consists of a motion correction system using deep learning techniques coupled with Laplacian motion modeling. The system affects the temporal features of the movement to obtain temporally better reconstructed motion, and ensures the preservation of the static skeletal structure throughout the movement. The approach is built upon two deep neural networks. The first neural network uses a 3D+t graph representation of motion associated with the discrete Laplacian operator to improve the spatio-temporal structural deformation of the skeleton over time. The second neural network, meanwhile, estimates fixed lengths for the bones of the skeletal structure. This enables the correction process to produce skeletal consistency in the motion while reducing the error on the lengths of the bones in the previously estimated motion. Compared to competitive state-of-the-art approaches, we show that our correction system improves both the spatial and temporal characteristics of the reconstructed motion, for better use in data-driven animation applications.
Population variation and polymorphism of the Cotton Pink Bollworm Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae) using Inter Simple Sequence Repeats (ISSRs) as molecular markers
Authors: Taha Hanan Salah El-Din 
Published: November 2023

Abstract
The most common pest infesting Egyptian cotton plants is the pink bollworm Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae). Intensive insecticide applications required for effective control in production season, resulting insecticide resistance problems. Some investigation ideas were floating for sponsored management. Thus, PCR based examination of pest population DNA tissue differentiation using eight Inter-Simple Sequence Repeats (ISSRs) primers screening for genetic diversity and population differentiation between some Egyptian field populations, based on similarity in the pattern of SDS-page bands. We detected 117 loci with an average population polymorphism of 97.64%. Genetic distance and similarity between groups were calculated and UPMGA phylogenetic tree were constructed. Based on Nei’s distance the specimens statistically grouped into three major clusters and six sub clusters. The average primer efficiency calculated value of PIC = 0.0027, 0.0029 and 0.22, H = 0.326, 0.346 and 0.266, and MI = 0.0669, 0.0768 and 0.04 for Sharkia, Benisuef and Fayoum respectively. Number of identified alleles Na = 1.92, 2.1 and 2.03 and the effective number of alleles Ne = 1.6, 1.93 and 1.78 respectively. Principal component, correspondence analysis and AMOVA results revealed great variance between populations. Moderate level of gene flow was 0.472 to 0.474 and 0.462. Infinite diversity distinguished by Fixation index Fst was ranged from 0.674 to 0.677 across the genotypes. Estimated Shannon’s index (I) procedures of calculations completed as inter-population differences was 6.62 and Nei’s genetic diversity h = 4.7, 4.656 and 4.60. Eveness was 1.09, 1.089 and 1.079 and estimated diversity was 1.24, 1.23 and 1.298, and species richness was 115, 117 and 117 for the same arrangement respectively. All results indicates a high level of genetic variation exists among the three geographical sample populations of the same pest.
Environmental awareness in Peruvian companies: the case of Interbank, Backus and Alicorp 2021 Conciencia ambiental en las empresas peruanas: el caso de Interbank, Backus y Alicorp 2021
Authors: VILCARANO ESTHER ISABEL FLORES , JULCARIMA VICTOR ALFONSO LANDEO , LEÓN WILD FRANZ CERRON , FERNÁNDEZ ISRAEL ROBERT PARIAJULCA 
Published: November 2023

Abstract
Climate change, over the years, presents more harmful indicators for living beings. This leads to the need for the involvement of all possible actors. Precisely, the business sector has also been involved in the promotion of sustainable development, as well as its implementation. This is how Corporate Social Responsibility (CSR) came into being. Thus, companies start to create parameters for sustainable development in order to give relevance not only to their economic interests, but also to their social environment. Precisely, this research focuses on determining the respective activities of the Peruvian companies Interbank, Backus and Alicorp - companies recognised among the top five nationally in terms of Social Responsibility - for environmental care and the fight against climate change.
Using Complex Systems Theory to Comprehend the Coordinated Control Effects of PM 2.5 and O 3 in Yangtze River Delta Industrial Base in China
Authors: Cao Ruhui , Xiao Yaxi , Dong Yangbin , Zhang Fuwang , Shi Kai , Wang Zhanyong 
Published: November 2023

Abstract

Regional air pollution is a multifaceted and dynamic system, rendering linear statistical approaches insufficient in capturing its inherent patterns of variability, particularly the intricate spatiotemporal fluctuations of multiple pollution indicators. Therefore, this study examines the synergistic evolution and impact mechanisms of PM2.5 and O3 in four cities in China’s Yangtze River Delta base from 2013 to 2022 by complex systems theory. Initially, multifractality and long-term persistence between PM2.5 and O3 are confirmed in each city using Multifractal Detrended Cross-Correlation Analysis (MFDCCA). Subsequently, evaluation indicators are established to assess control effects. Furthermore, factors influencing coordinated control are analyzed using Ensemble Empirical Mode Decomposition (EEMD). Finally, Self-Organized Criticality (SOC) theory is introduced to understand dynamic concentration patterns. The results indicate: (1) Multifractality and long-term persistence exist between PM2.5 and O3 in the four cities, and this persistence strengthens with the implementation of atmospheric pollution prevention and control policies. The application of complex systems theory facilitates the explanation and quantification of the synergistic control effectiveness of PM2.5 and O3. (2) Since 2013, except for Nanjing, the coordinated control effects of PM2.5 and O3 in Shanghai, Hangzhou, and Suzhou have been unsatisfactory and have not effectively improved. (3) Compared to human activities, atmospheric control measures, periodic meteorological variations, and long-range transport of regional pollutants have a greater influence on the synergistic regulation effects of PM2.5 and O3. (4) SOC may be the primary mechanism influencing the effectiveness of synergistic regulation of PM2.5 and O3, and sudden events such as epidemic control measures can disrupt the existing balance between PM2.5 and O3, thereby reducing the coordinated control effects.
The Accuracy of Self-Reported Family History in Glaucoma
Authors: Figueiredo Ana Galrão Almeida , Nogueira Isadora Ferro , Baptista Liane Ferraz de Moura , Foganholo Jady , Iguma Camila Ishii , Abe Ricardo Yuji 
Published: November 2023

Abstract
Purpose
To evaluate the accuracy of a positive self-reported glaucoma family history.
Material and Methods
Cross-sectional study. Each subject was asked if they had a first-degree relative diagnosed with glaucoma. If their answer was affirmative, the relative was invited to attend on ophthalmic evaluation and underwent complementary exams to confirm or exclude the glaucoma diagnosis. Only one relative was included per subject.
Results
We included 204 subjects in the study (102 subjects and their respective relatives). The accuracy of family history of glaucoma was 76.96% of the cases. In the univariable analysis, subjects with college degree had 2.34 [(P = 0.010; 95% confidence interval (CI) 1.18– 4.63)], with higher family income 3.72 (P = 0.003; 95% CI 1.57–8.85) and those with health insurance 3.42 (P = 0.001; 95% CI 1.67–6.98) more chances to have a true positive family history for glaucoma. In the multivariable logistic regression analysis, none of the variables presented significant association.
Conclusion
Around 24% of patients may not provide reliable information about family history for glaucoma. When asking about a glaucoma family history, clinicians should consider the real accuracy of this self-reported data.
Periodic solutions of an NPZ model with periodic delay and space heterogeneity
Authors: Cui Mengran , Lv Yunfei , Zhang Qianying 
Published: November 2023

Abstract

In this paper, we investigate an nutrient-phytoplankton-zooplankton (NPZ) model with seasonality and spatial heterogeneity, in which the immature zooplankton with size structure is described by the quasi-linear first-order partial differential equation. A three-dimensional periodic delay food chain model with initial value is derived from the original model. To establish the threshold dynamics of NPZ model, we first obtain the global attractivity of the positive periodic solution of the nutrient-phytoplankton (NP) subsystem by using the method of sub-super solutions and associated iterations. We then give the integral expression of threshold for the corresponding system, which is convenient for numerical simulations. Based on this, the threshold dynamics is discussed by appealing to the comparison arguments and the persistence theory. Finally, the analytic results are in good consistence with our numerical simulations.
Financial Performance, Intellectual Capital Disclosure and Firm Value: The Winning Edge
Authors: Keter Charles Kiprono Sang , Cheboia Josephat Yegon , Kosgei David 
Published: November 2023

Abstract
Traditional financial performance metrics have served well throughout the inclusion era, but they are no longer in sync with the skills and competitiveness that organizations are attempting to learn. This study examined the role of intellectual capital disclosure (ICD) in mediating the relationship between financial performance and firm value. The sample consists of 39 firms listed on the Nairobi Securities Exchange (NSE) in Kenya. They represent 67% of firms listed on NSE during the period (2010–2022). Data were extracted from individual companies’ audited annual reports. The study hypotheses were tested on a fixed and random effects model with the aid of the Stata student version. The results reveal that financial performance has a positive and significant effect on firm value. Furthermore, financial performance has a negative effect on ICD. Finally, ICD was found to have a mediating effect on the relationship between financial performance and firm value. The results confirm that intellectual capital disclosure is an important mediator in the relationship between financial performance and firm value; firm managers should use ICD as a winning edge. Additionally, firms with high intellectual capital are likely to engage in voluntary disclosure to legitimize their success.