bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cathodic Performances of MnO2 Induced C/Ni Foam Electrode for H2O2
Authors: Yang Shuncheng , Cui Chaoyang , Cai Xuegang , Lv Yanzhuo , Xu Yan 
Published: October 2023

Abstract
MnO2 has been regarded as the key active species for the reduction of H2O2, and the catalytic performances of electrodes and the open circuit potential are related to the MnO2 preparation. However, there is limited understanding of how the operation para-meters affect the MnO2 preparation and utilization. The sol-gel method was used to prepare the MnO2 and a suitable preparation process was determined via the orthogonal and single-factor experiments. The optimal preparation conditions were: n (citric acid): n (manganese acetate) = 0.5:1, initial concentration of reactant C0 = 0.1M, pH ≈ 6, temperature of reaction was about 60℃. The X-ray spectroscopy and cyclic voltammetry confirm that MnO2 by sol-gel method was termed as mixed crystal of α-MnO2 and γ-MnO2. Excessive H2O2 was detrimental to catalytic ability of electrode because of the self-decomposition reaction of H2O2. Operation conditions affect the polarizability, which was an important indicator of the catalytic performance of electrodes. In this study, a new C/MnO2/Ni foam cathode was constructed by combining MnO2 with C(carbon), and the catalytic activity of the electrode was correlated with the content of MnO2 and the concentration of H2O2, which provided a strategy for the design and operation optimization of MnO2 cathode catalyst. The results show that the optimal concentration of H2O2 is 0.3M, and the optimal mass fraction of MnO2 in the electrode is 40%.
Decoding AI Curricular Integration: Navigating Course Quality in Brazilian Dental Master's Programs
Authors: Dantas Jessica Nobrega , Silva Marco Antonio Dias da 
Published: October 2023

Abstract
The integration of Artificial Intelligence (AI) concepts into dental education is a critical transformation that has the potential to revolutionize patient care. However, the understanding of the extent to which AI concepts have been integrated into dental master's programs in Brazil is limited. This study aimed to evaluate the presence of AI-related content in Brazilian master’s degree programs for Dental Professionals. Using official data, from the Brazilian Government 92 master programs were analysed. Within the 2161 disciplines evaluated it was observed that only 13 courses, usually higher quality scored courses (p < 0.001) offered AI-related content. Besides, no correlations were demonstrated between the offering of AI-related content and the course's geographic location (p > 0.05), type of master course (academic or professional) (p > 0.05), and whether it was offered from a public or private institution (p > 0.05). It was concluded that the integration of AI-related content into Brazilian dental master's programs is limited, and usually related to higher quality scored courses. While demonstrating the impacts of the course quality on its innovative method this study emphasizes the urge for a multidimensional approach ensuring an effective integration of AI in the dental profession in Brazil.
Prevalence of impaired renal function among childless men as compared to fathers: A population-based study
Authors: Kitlinski Michael , Giwercman Aleksander , Christensson Anders , Nilsson Peter , Elenkov Angel 
Published: October 2023

Abstract
Male reproductive impairment has been linked with an increased risk of numerous non-communicable diseases. Yet, epidemiological data on renal disease among subfertile men is scarce. Therefore, by using male childlessness as a proxy for male infertility, we aimed to investigate its association with renal function. Data was sourced from a population-based cohort including 22 444 men. After exclusion of men aged < 45 years (n = 10 842), the remaining men were divided into two groups: these being childless (n = 5494) and fathers (n = 6108). Logistic regression was applied to explore the association between male childlessness and renal impairment. Childless men as compared to fathers, were more likely to have an estimated-glomerular filtration rate < 60 ml/min/1.73m2 (OR 1.36, 95 CI 1.08–1.70; p = 0.008). After adjustment for age, marital status, smoking habits, diabetes, hypertension and other components of metabolic syndrome, childless men were also more likely to have dipstick proteinuria (OR 1.78, 95 CI 1.11–2.84; p = 0.016). With the growing panorama of disease associated with male reproductive impairment, men with fertility issues may constitute a target population with potential benefit from closer follow-up of their renal function.
Effects of climate change on seed germination may contribute to habitat homogenization in freshwater forested wetlands
Authors: Carr Kori , Ozowara Xavier , Sloey Taylor M. 
Published: October 2023

Abstract

Climate changes are expected to result in warmer, shorter winters in temperate latitudes. These changes may have consequences for germination of plant species that require a period of physiological dormancy. The effect of cold duration on seed germination has been investigated in a number of plant taxa, but has not been well studied in wetland and bottomland forest tree species, an ecosystem that is threatened by habitat homogenization. Our work sought to test the role of changing winter temperatures on seed germination in specialist (Nyssa aquatica and Taxodium distichum) and generalist (Acer rubrum and Liquidambar styraciflua) tree species within forested wetlands throughout the eastern U.S.. The experiment was conducted in an environmental chamber in Norfolk, VA, USA. Seeds of T. distichum, N. aquatica, A. rubrum, and L. styraciflua were exposed to each of pre-germination cold exposure durations (0, 15, 30, 45, 60, 75, and 90 days) and observed for germination for 30 days. Cold stratification duration positively impacted total percent germination in N. aquatica (p < 0.0001) as well as A. rubrum (p = 0.0008) and T. distichum (p = 0.05). Liquidambar styraciflua seeds exhibited more rapid rates of germination with increasing cold exposure duration and greater percent germination compared to the others regardless of cold stratification duration. Our results provide insight into how community dynamics and biodiversity of wetland and bottomland trees may shift with a changing climate. Further, this work emphasizes the importance of understanding the role of plant functional traits in early life stages in community dynamics and has implications for management practices.
Clinical features and prognostic factors of adult autoimmune hemolytic anemia
Authors: Xue Xiang , Huang Changbao , Nie Shinan 
Published: October 2023

Abstract
Objective: To explore the clinical characteristics and prognostic influencing factors of adult autoimmune hemolytic anemia (AIHA), improve clinicians' awareness of this disease and reduce the misdiagnosis rate.
Methods: This study was a retrospective single-center research from 2018 to 2023. Clinical data from adult AIHA were analyzed.
Results: Forty-one patients were enrolled, of whom were 10 males and 31 females, average age (54.4±15.9) years. The common clinical symptoms of AIHA were anemia (97.6%), dizziness or fatigue (92.7%), jaundice (85.4%), hepatosplenomegalgia (53.7%), soy colored urine (26.8%), melena (19.5%), fever (12.2%), abdominal pain or vomiting (4.9%). The hemolytic indexes of Lactate dehydrogenase (LDH) (95.1%), total bilirubin (TBIL) (85.4%), ferritin (free) (92.7%) and reticulocyte (Ret) (97.6%) are elevated. Nine patients were misdiagnosed, with 8 patients being misdiagnosed as gastrointestinal hemorrhage and 1 patient being misdiagnosed as acute cholecystitis. The risk factors for poor prognosis were revealed through a simple analysis of hemoglobin (HB), C-reactive protein (CRP), glutamic oxaltransaminase (AST), and secondary etiology. HB level and secondary etiology were independently identified as risk factors for poor prognosis by logistic regression analysis.
Conclusion: The incidence of adult AIHA is low, and the clinical symptoms are complex and non-specific. HB level and secondary etiology were independent risk factors for poor prognosis. Coomb,s Positive is an important diagnostic method, and Coomb,s negative cannot be ruled out. It is important to be familiar with the clinical characteristics of adult AIHA, improve the understanding of AIHA, and avoid misdiagnosis and mistreatment .
Overall Mass Transfer Coefficient and Henry’s Law Constant for the Insitu Epoxidation of Tamanu Oil
Authors: Budiyati Eni , Mohammad Sofyan , Irsyad Nabiel , Salsyabila Anida , Musthofa Malik 
Published: October 2023

Abstract
The stages of the double bond epoxidation process of tamanu oil include (1) the process of making peroxyacetic acid (PAA), (2) the mass transfer of several components, and (3) the epoxidation reaction, followed by further reactions within the organic phase. This study was dedicated to the determination and estimation of reaction and mass transfer parameters in the in-situ epoxidation of tamanu oil with PAA. The reaction constant values were observed to be directly proportional to the reaction temperature, except in the case of k3. There is a slight deviation in k3, where it decreases from 14.6178 ± 0.0507 g.mol-1.min-1 at 40°C to 13.6561 ± 0.0081 g.mol-1.min-1 at 50°C. The mass transfer coefficient (kca) values increase with increasing temperature, where the kca for PAA, H2O, acetic acid (AA), and H+ were 12.6654 ± 0.0657 to 23.0777 ± 0.1384, 12.3793 ± 0.0549 to 23.0790 ± 0.1476, 12.4912 ± 0.0394 to 23.0789 ± 0.0978, 12.4296 ± 0.0821 to 23.0790 ± 0.1296, respectively. Conversely, the Henry constant (H) values for each component vary. This constant is associated with the solubility of each component.
Deep Learning Based Cyclone Intensity Estimation
Authors: Kothandaraman Samhita , Salunke Shreyash , Bhatkar Vedant , Jadhav Jagruti 
Published: October 2023

Abstract
Tropical cyclones are among the most expensive natural disasters on the planet due to the numerous related risks. The first step in tracking a crisis is determining its intensity. A precise diagnostic model for tropical cyclone intensity can therefore save loss of life and property. The primary goal of this study is to evaluate cyclone intensity and identify how harmful it can be, thereby aiding in the prevention of cyclone-related damage.[25] Given that all cyclones form over the ocean, one cannot determine the how changes in the atmosphere of the ocean affects the formation and growth of a cyclone by ground-based measurement instruments alone. Thus, satellite imagery would prove to be beneficial data to determine the intensity. This paper proposes a Capsule Neural Network model to determine the intensity of the cyclone by using the satellite images taken from the INSAT 3D satellite.
Mitochondrial dysfunction drives the pathogenesis of pulmonary arterial hypertension: insights from a multi-omics investigation
Authors: Zhang Xin , Li Jieling , Fu Minyi , Geng Xijie , Hu Junjie , Tang Kejing , Chen Pan , Zou Jianyong , Liu Xiaoman , Zeng Bo 
Published: October 2023

Abstract
Background
Pulmonary arterial hypertension (PAH) is a progressive disorder that can lead to right ventricular failure and severe consequences. Despite extensive efforts, limited progress has been made in preventing the progression of PAH. Understanding its pathogenesis is crucial for developing better treatments.
Methods
We integrated three microarray datasets from the Gene Expression Omnibus (GEO), including 222 lung samples (164 PAH, 58 controls), for differential expression and functional enrichment analyses. Machine learning identified key signaling pathways. PAH and control lung tissue samples were collected, and transcriptomic and metabolomic profiling were performed. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis investigated shared pathways, and canonical correlation analysis assessed gene-metabolite relationships.
Results
In the GEO datasets, mitochondria-related pathways were significantly enriched in PAH samples, in particular the electron transport chain in mitochondrial oxidative phosphorylation, notably the electron transport from cytochrome c to oxygen. Transcriptomic profiling of the clinical lung tissue analysis identified 14 differentially expressed genes (DEGs) related to mitochondrial function. Metabolomic analysis revealed three differential metabolites: increased 3-phenyllactic acid and ADP, and decreased citric acid in PAH samples. Mitochondria-related genes highly correlated with these metabolites included KIT, OTC, CAMK2A, and CHRNA1.
Conclusions
Disruption of the mitochondrial electron transport chain and citric acid cycle homeostasis likely contributes to PAH pathogenesis. 3-phenyllactic acid emerges as a potential novel diagnostic biomarker for PAH. These findings offer insights for developing novel PAH therapies and diagnostics.
Generalized (m, N − m)-fold Darboux transformation and localized waves of the complex Kraenkel-Manna-Merle system in a ferrite
Authors: Shen Yuan , Tian Bo , Zhou Tian-Yu , Cheng Chong-Dong 
Published: October 2023

Abstract
In this paper, we focus on a complex Kraenkel-Manna-Merle system, which could characterize certain short waves in a ferrite. On the basis of the existing N-fold Darboux transformation, we have determined a generalized (m, N − m)-fold Darboux transformation which admits m spectral parameters, with N and m being the positive integers. Rogue-wave, breather and mixed wave solutions of that system are derived utilizing the generalized (m, N − m)-fold Darboux transformation. We show the first-order rogue wave with one hump and two valleys, as well as the first-order rogue wave with one hump and one valley. We obtain the second-order rogue wave and also show that the second-order rogue wave divides into three first-order rogue waves which are arranged in the triangle structure. We present the third-order rogue wave and observe that the third-order rogue wave divides into six first-order rogue waves which are arranged in the triangle and pentagonal structures. The first-order breather and interaction between the two first-order breathers are illustrated. In addition, we present the interactions between the first-order/second-order rogue wave and first-order breather.
The obesity loss effect of returns to education: Evidence from China
Authors: Yin Shijiu , Yin Zongshuo , Chen Mo , Du Nianyu , Li Kai 
Published: October 2023

Abstract
As the world’s largest developing country, China’s overweight and obesity rate is higher than the global average and is growing. This paper investigates the effect of education on obesity and its mechanism to study the “weight loss” effect of education. The study finds that education has a nonremarkable effect on being overweight but a remarkable negative effect on obesity. Mechanism analysis showed that education can inhibit the occurrence of obesity by improving nutritional knowledge, enhancing health risk perception, improving diet regularity and increasing physical exercise. Heterogeneity analysis showed that the effect of education on obesity is more significant in rural residents and female samples compared with their counterparts. Further analysis revealed that education inhibits obesity mainly through improving nutritional knowledge for urban residents and female samples and by enhancing physical exercise for rural residents and male samples.
Time to Blindness of Glaucoma Patients: The case of Hawassa University Referral Hospital, Hawassa, Ethiopia
Authors: Bayew Addisu Teka , Warssamo Birhanu Betela 
Published: October 2023

Abstract

Background If untreated, glaucoma is one of the major causes of irreversible blindness in the world. Intraocular pressure is a primary risk factor for glaucoma, a chronic, progressive optic neuropathy that is characterized by characteristic alterations in the optic disc and retinal nerve fiber layer along with corresponding visual field abnormalities. The study's goals were to identify the best-fit survival regression model and gauge glaucoma patients' chances of surviving until they were blind at Hawassa Referral Hospital in Hawassa, Ethiopia. Methods The patient's card contained secondary data that was gathered in the hospital between January 2021 and September 2023. This study took into account the records of 388 glaucoma patients. To determine the factors that cause glaucoma patients to become blind, the Kaplan-Meier survival analysis, Semiparametric and Parametric AFT models were used. Excel was used to enter the data, which was then exported to STATA version 16 for analysis. The statistical analysis on the length of time before glaucoma patients become blind was done using a parametric survival model. When p-value 0.05, statistical significance was taken into account. Results Male and female glaucoma patients made up 42.01% and 57.99% of the overall sample, respectively. After the diagnosis of glaucoma disease, the median time to go blind in either one or both eyes was 21 months. Age groups (43–69) and > 70 (TR = 1.2323, CI: 1.048611–1.447674), urban residence (TR = 1.147198, CI: 1.009588–1.303565), types of medication topical (TR = 1.275537, CI:1.07358–1.515484), and laser therapy (TR = 1.25966, CI: 1.016694–1.560689) were found to be significantly associated with the time to blindness. Conclusion Age, place of residence, and kind of medicine were found to be important variables that determine the likelihood that glaucoma patients will survive. The gamma regression model was the best fitted parametric accelerated failure-time model for identifying the key factors connected to glaucoma patients, according to the study's findings, which brings us to our final conclusion.
The triangle congruence axiom that led to ellipse collinearity
Authors: Csiba Peter , Vajo Peter 
Published: October 2023

Abstract
This paper aims to prove the assumption that the center of the circle containing two vertices of a complete quadrilateral, along with the center of the conic section formed by the two diagonal points of the quadrilateral (with the third diagonal point being fixed), are collinear with the midpoint of the segment defined by the intersection of their common tangent lines. The common tangent lines are drawn from the two remaining vertices of the complete quadrilateral. Furthermore, a general theorem can be deduced from this proof, asserting that when a conic section is considered instead of a circle, the centers of the two conic sections and the midpoint of the section formed by the intersections of their common tangent lines are collinear. The assumptions were discovered and proved using the dynamic mathematics software GeoGebra, which offers many visual tools such as the Show Trace or Locus tool, the CAS View, and the 3D calculator. These tools were employed to provide analytic proof. Consequently, a correlation has been identified that converts a projective correspondence into an affine property.
Behavior prediction of fiber optic temperature sensor based on hybrid classical quantum regression model
Authors: T Kanimozhi , S Sridevi , M Valliammai , J Mohanraj , N Vinodhkumar , Sathasivam Amirthalingam 
Published: October 2023

Abstract
A relatively new area of study, quantum machine learning, seeks to bring together the quantum computer’s significant performance improvement and the machine learning algorithms’ capacity to solve real world problems. In this research work,a quantum regression model (QRM) is proposed by combining an autoencoder and dressed quantum circuit (DQC) to predict the behavior of fiber optic temperature sensor. The autoencoder is employed to augment the experimental data-setas it is insufficient to train the DQC model. We examined the regression performance of the QRM by running multiple simulations by varying the quantum hyper-parameters such as quantum depth Qdepth, number of shots nshots andthe number of qubits nqubits of the quantum node. Moreover, the regression performance with the unknown data exhibits high R-squared score (r2scr) as0.965, high explained variance (ExpV arscr) as 0.969 and less maximum error(MaxErrscr) as 0.212 for 4 Qdepth, 1500 nshots and 4 nqubits. On the otherhand, we proved the superiority performance of the proposed QRM in predicting relative power and it is compared with four conventional machine learning regressors,namely artificial neural network (ANN) regressor, support vector regressor(SVR), decision tree (DT) regressor, and random forest (RF) regressor.
Inequitable Inefficiency: A Case Study of Rail Transit Fare Policies
Authors: Mallett Zakhary 
Published: October 2023

Abstract
Transit fare equity research overwhelmingly measures equity based on disparity in the fare paid for travel without consideration of the costs of service delivery. Research also ignores the cost-sharing nature of transit — that as more riders consume it, the average cost per rider declines. Together, this leaves an incomplete understanding about who receives more subsidy. I measure equity by analyzing spatial and temporal cost recovery variability of two rail systems, BART in the San Francisco Bay Area and MARTA in Atlanta. I scale origin-destination trip cost recoveries to stations and operating time periods. I find that travel associated with outlying areas and off-peak times receive more subsidy. I further find that subsidy patterns are marginally progressive; they positively correlate with select disadvantaged socioeconomic groups. I offer ideas on why these findings appear divergent from past research.
Prediction of prognosis, immune microenvironment and efficacy of immunotherapy based on cell cycle genes in colon cancer
Authors: Chen Zhenfeng , Cui Chunhui , Chen Guixu 
Published: October 2023

Abstract
Colon cancer is a common digestive system cancer. Dysregulation of cell cycle gene expression is one of the major risk factors in colon cancer progression. However, the identification of colon cancer subtypes based on cell cycle genes is unclear. In our work, we analyzed the expression, prognosis, genetic alterations of cell cycle genes in colon cancer. We identified two subtypes (clusters A and B) by performing unsupervised clustering. The difference between the two clusters was further assessed, such as clinical features, differential expressed genes (DEGs), pathways, and immune cell infiltration. Based on the DEGs between the two clusters, a cell cycle score (CCscore) system was constructed and its predictive ability for overall survival of colon cancer patients and immunotherapeutic efficacy was validated. Patients with high CCscore have worse survival status, abundant immune cell infiltration, and elevated response to immunotherapy. Our findings may improve our understanding of the cell cycle in colon cancer.