bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of tightly focused linearly polarized Gaussian laser on even harmonics and energy under the action of longitudinal field
Authors: Wang Chang , Chen Wei , Liu Xinyue , Li Yijin , Tian Youwei 
Published: June 2023

Abstract
This study uses MATLAB’s fourth- and fifth-order Runge–Kutta algorithms to compute nonlinear Thomson scattering by applying Maxwell’s equation to highenergy electron collisions with ultrashort laser pulses. We consider in particular how longitudinal laser fields with various peak amplitudes a0 affect the electron trajectory, backscattering spectra, electron radiation energy, and electron radiation power. We first demonstrate that, with increasing a0, the electron motion gradually deviates from the +z direction and a phenomenon involving even harmonics emerges. Second, the results show that, in the presence of a longitudinal laser field, the electron radiation angle decreases when a0 < 10 but remains stable when a0 > 10, in contrast with the situation without the longitudinal field. Finally, we determine the variation in the peak energy radiated by the electron. This work clarifies how a tightly focused linearly polarized Gaussian laser pulse affects the even harmonics and radiation energy when combined with a longitudinal electric field, enabling more precise modulation of the emitted x rays.
Experimental Investigation of Flame Appearance and Temperature Distribution of a Double Elliptical Inverse Diffusion Jet Flame
Authors: Mahgoub Ahmed , Hussein Adel , Emara Kareem 
Published: June 2023

Abstract
The use of elliptical jets for combustion control is an attractive passive technique due to their ability to induce flow perturbation, fluid entrainment, and jet shearing. This study presents an experimental investigation of inverse diffusion jet flames emanating from a double elliptic burner with a central circular air stream. The inner and outer streams are fed with air, while the middle one is fed with liquefied petroleum gas (LPG) as fuel. The impact of the inner-to-outer air ratio and outer elliptical tube angle on flame appearance and mean in-flame temperature was examined at a constant total air flow rate and fixed thermal input. Flame visual and thermal structures are analyzed through shadowgraph and temperature measurements in both major and minor planes of the inner elliptic fuel tube. The results reveal a dual-flame structure for all flames, with longer flames resembling normal diffusion flames as the outer air percentage increases. The outer elliptic tube angle has a minor effect on the flame length and centerline temperature, while increasing the angle enhances air/fuel mixing, as indicated by the decrease in luminosity due to the two elliptical jets' interaction.
Announcing Effect: Delaying Retirement and Household Consumption Structure
Authors: Xu Kun , Ma Guangbo 
Published: June 2023

Abstract

The announcement of the policy of gradually delaying retirement most likely has noteworthy social and economic implications. Although current literature has primarily focused on the macroeconomic effects of postponing retirement, insufficient attention has been devoted to the influence on micro-level household consumption. To bridge this gap, we utilized data from the China Health and Retirement Longitudinal Survey (CHARLS) database and employed the Differences-in-Differences (DID) method to analyze the consequences of announcing a gradual delay in retirement on household consumption structure. The findings suggest that the policy announcement substantially reduced the proportion of expenditures related to enjoyment and development in total household consumption, leading to an overall decline in consumption. Moreover, the effect varied significantly by gender and education level. Specifically, men with less education were more likely to reduce their consumption upon hearing the announcement. The practical implications of these empirical results are pertinent to the flexible implementation of the decision to delay retirement.
JEL: I15
Werner state tomography based on multiple noises and fiber attenuation
Authors: Wang Haigang , He Kan 
Published: June 2023

Abstract
In this paper, we establish a new quantum state tomography model that fits the real environment very well. In our model, the number of photons emitted by the photon source is a random number of Gaussian distribution. The emitted photons are attenuated by a fiber, resulting in a binomial distribution of photons arriving at the detector. In the process of measurement, we impose Poisson noise, which makes the number of photons measured each time assume Poisson distribution. The quantum states are reconstructed from photon counts obtained for symmetric informationally complete positive operator-valued measures, and consider the influence of noise on the measurement operators. We study the quantum tomography efficiency of any two-qubit Werner state in our model. We obtained the relationship between the tomographic efficiency and multiple variables of the model through numerical simulation.
PACS numbers: 03.67.Mn, 03.65.Ud, 03.67.-a
Incidence and survival of Kaposi Sarcoma patients: a retrospective analysis using the National Cancer Database 2004-2018
Authors: Desai Amar D. , Jacobson Judith S. , Neugut Alfred I. , Lipner Shari R. 
Published: June 2023

Abstract
Background
Kaposi Sarcoma (KS) is a relatively uncommon skin and mucosal malignancy affecting immunocompromised and HIV/AIDS patients, with a poor prognosis. Due to its low incidence in the United States, national trends in epidemiology, treatment, and mortality within the last decade have not been characterized.
Objectives
We analyzed KS demographics, treatments, and mortality in the United States, 2004–2018.
Methods
Among KS cases diagnosed 2004–2018 in the National Cancer Database, we compared demographic and clinical characteristics of HIV + and HIV- patients, men and women, time periods. We used Kaplan-Meier survival analysis to evaluate changes in mortality over time and between subgroups.
Results
Of 10,027 KS patients, the mean age was 47.7\(\pm\)17.9 years, and 9,063 (90.4%) were males. The number of Black men (p<0.001) and Medicaid recipients (p < 0.001) increased over the study period. Overall, 1- and 2-year survival increased by 6.4% and 8.3%, respectively, between 2004–2007 and 2016–2018 (p < 0.0001). Among HIV+ patients, 1- and 2-year survival were 14.5% and 13.7% lower, respectively, than among HIV- patients (p=0.0074). Limitations of this study include the retrospective nature; the sample lacked complete information about B symptoms, treatment efficacy, and KS subtypes.
Conclusions
KS incidence among Blacks and Medicaid-insured patients has increased. Overall KS survival has improved, despite poor outcomes for HIV + patients.
An Asymmetric Mixture Factorization Model for Cold-start Recommendation
Authors: Deng Chen , Peng Furong , Lu Xuan , Li Feijiang , Wang Sheng , Liang Christy 
Published: June 2023

Abstract

The task of providing recommendations for new users/items that do not have any historical ratings, i.e., the cold-start challenge, has been a subject of extensive research in recommendation systems. Most existing matrix factorization-based approaches tackle this challenge by establishing a relationship between latent profiles and attributes (side information), neglecting the impact of users' and items’ individual characteristics on profile inference. However, individuality is a crucial factor that can significantly influence user/item profiles independently of attributes. To address this issue, we propose constructing the profiles of users/items using an asymmetric mixture distribution of individuality and attribute. This enables the integration of partially observed attributes and unobservable individuality into the profile mixture for improving profile inference. Based on this profile mixture, we introduce the Asymmetric Mixture Factorization (AMF) model, which infers the user/item profiles from Gaussian distributions associated with both attributes and individuality to achieve superior cold-start recommendations. Additionally, we employ an efficient block coordinate descent algorithm and an expectation-maximization approach for optimizing. Empirical evaluations on two datasets demonstrate the effectiveness of our proposed model in handling two cold-start scenarios and achieving state-of-the-art performance.
Perception with Artificial Intelligence of the health risk of riverside farmers who use pesticides
Authors: Silverio Astrid Merino , Cunha Maristela Casé Costa , de Andrade Wbaneide Martins , Pinheiro Patricia Barros , Prado Rafael Jorge , Simplício Luane dos Santos dos Santos 
Published: June 2023

Abstract

The excessive use of pesticides in Brazilian agribusiness poses significant health risks, particularly to rural communities. To address this issue, it is crucial to implement a comprehensive program of toxicology studies and workforce qualification, ensuring proper monitoring and minimizing health hazards. This research aimed to assess the perception of health risks associated with pesticide use among riverside farmers in the municipalities of Petrolina (PE) and Juazeiro (BA). Between January and July 2022, a data collection was conducted involving a homogeneous sample of 60 farmers from each municipality. Semi-structured interviews were utilized to conduct a study on risk perception, employing the expanded SUS questionnaire "A" through a mobile application. Prior consent was obtained through the Free and Informed Consent Form. The collected data were analyzed using Artificial Intelligence and Artificial Neural Networks. The research findings revealed an inadequate understanding of health risks among riverside farmers in both groups, with a particular need for knowledge improvement in the community of Petrolina (PE). To enhance farmers' awareness and perception of risks, it is imperative to implement comprehensive educational policies and adopt a health management approach that emphasizes the farmer's relationship with the environment. Furthermore, effective communication strategies must be employed to convey the health risks associated with pesticide use. Municipal governments should actively support these initiatives to foster positive change in the agricultural sector.
Can a novel combination panel of five systemic biomarkers define the prognosis and provide a target for therapy in high grade glioma?
Authors: Shrivastava Richa , Gandhi Puneet , Shrivastava Aadesh , Sorte Sandeep K 
Published: June 2023

Abstract
Purpose
High-grade gliomas (HGG) comprise WHO grades 3 and 4 and despite multimodal therapy, the overall-survival(OS) has not improved much. In this study, the markers representing four-partakers of the tumor-microenvironment (TME) were identified that can help to monitor disease progression, namely Interleukin6 (IL6, inflammation), inducible nitrous-synthase (iNOS, hypoxia), vascular-endothelial growth-receptor(VEGF) and Endothelin1(ET1) (angiogenesis) and intercellular-adhesion molecule1(ICAM1, extracellular-matrix). Their systemic expression in HGG was quantified noninvasively.
Methods
76 therapy-naive patients with HGG and 30 controls were considered in this study. Serum/plasma was analyzed for systemic expressions of IL-6, iNOS, VEGF, ET1, and ICAM1 qualitatively by dot-immune-assay and quantitatively by ELISA.
Results
Markers IL-6, iNOS, VEGF, ET1, and ICAM1 were screened by DIA, their expression was significantly higher in grade-4 compared to grade-3 and controls. Quantification of circulating levels of the markers presented a similar result. The biomarkers were observed to negatively correlate with OS (p < 0.0001). Cox-regression analysis yielded all chosen biomarkers as good prognostic indicators; independent of confounders. The biomarker panel achieved higher sensitivity than single markers, to define survival on applying combination statistics. The association of iNOS, VEGF, ET1, and ICAM1 with IL6 was significant, hinting of a crosstalk and an inflammation driven expression of other partakers of TME.
Conclusion
This is a first-ever experimental study of a marker-panel that could distinguish between histopathological grades, and also delineate differential survival using liquid-biopsy, suggesting that these markers can serve as a target for personalized-therapy. The panel of biomarkers of IL-6, iNOS, VEGF, ET1, and ICAM1 holds promise for prognostication in HGG.
Interpretability methods applied to fraud detection intelligent systems: a systematic review
Authors: Furlanetto Gabriel Covello , Baldassin Alexandro , Manacero Aleardo 
Published: June 2023

Abstract
In a technological world, in which data is generated exponentially, financial analysis has gradually become more important to avoid large losses due to fraud. Considering the large volume and the difficulty of human data checking, machine learning technologies have become one of the main tools to solve the problem. However, due to the creation of data protection laws in several countries, in some scenarios the detection of fraud through intelligence algorithms becomes insufficient. Therefore, it is necessary to understand how the algorithm actually labels a transaction as fraudulent or not. In this work, presented as a systematic literature review, we look for answers on how explicable/interpretable fraud detection algorithms have been applied in order to solve the problem of illegal activities in the financial sector. As a result of the mapping of the current state of the art, this work highlights the gaps in the literature and present the scenario of interpretable techniques used for fraud detection comprehension.
The Use of Mobile-phone Applications to Improve the Compliance of Pregnant Women to Take Iron Tablets: A Systematic Review
Authors: Dewi Arlina , Wirasto Anggit , Dewi Trisna Setya 
Published: June 2023

Abstract
Background
Iron deficiency is the most common etiology of anemia in pregnancy. Consistent supplementation improves IFAS (Iron Folic Acid Supplementation) compliance. This study aimed to give an overview regarding mobile phone utilization to improve pregnant women’s compliance to take iron supplementation.
Method
This study is a systematic review that was performed by collecting and reviewing the relevant article. The search was performed using Google Scholar, PubMed, and Scopus databases. The articles involved were determined by following criteria such as, randomized controlled trial design, involving pregnant women as the object, and measuring pregnant women’s compliance after receiving the intervention.
Results
This study involved 7 articles published from 2014 to 2022. All the studies showed that reminders using mobile applications such as text messaging, mobile phone calls, and mHealth apps have a positive impact on improving pregnant women’s compliance to take iron supplementation. Pregnant women who received a reminder have higher compliance for taking iron supplementation regularly than pregnant women who do not receive a reminder.
Conclusion
The usage of the mobile phone as a reminder has a positive impact in improving pregnant women’s compliance to take iron supplementation regularly.
Behaviour of PPCP substances in a fluvial aquifer after infiltration of treated wastewater
Authors: Hrkal Zbyněk , Pastuszek František 
Published: June 2023

Abstract
One of the reasons for the still prevailing concerns about the recycling of treated wastewater is the low efficiency of current WWTP technologies for removing PPCP substances, especially pharmaceuticals. The goal of this project was to verify the behaviour of these substances after infiltration into the fluvial aquifer of wastewater treated in accordance with today's legislative requirements. During the experiment, this water (containing 69 PPCP substances) was infiltrated using a 10 m deep well for a period of one month. The whole process was intensified by pumping at a well at a distance of 52 m. In the surrounding monitoring wells, 113 PPCP substances were monitored at three-day intervals with a detection limit in the order of tens of ng/l. The results showed that 15 PPCP substances were already present in the fluvial aquifer before the start of the infiltration experiment and thus represent "background" values. These substances are the result of river water seepage. The influence of infiltration was manifested by changes in the chemistry of the monitoring wells 8-12 days from the beginning of the experiment. An increase in concentrations of PPCP substances in groundwater can be reliably demonstrated mainly for the following substances: oxypurinol, Benzotriazole, Sucralose, Iomeprol, Hydrochlorothiazide, Iopromide, Diclofenac-4-hydroxy, Furosemide, Sulfapyridine, Benzotriazole 5-methyl, and Sulfanilamide. On the other hand, the experiment demonstrated the high natural attenuation capacity of the rock environment, which eliminated a wide range of PPCP substances such as Acebutolol, Atenolol, Azithromycin, Benzotriazole 1-methyl, Bisoprolol, Celiprolol, Cetirizine, Citalopram, Clarithromycin, Climbazole, and Clindamycin, to a level below the detection limit.
Quality of antenatal care in Primary Health Care in Brazil: A Latent Class Analysis
Authors: Ortelan Naiá , Flores-Quispe Maria del Pilar , Luz Leandro Alves da , Martufi Valentina , Anjos Eduarda Ferreira dos , de Lima Acácia Mayra Pereira , de Almeida Josemir Ramos , Passos Michelle Pereira Vale dos , Santos Ythalo Hugo da Silva , Amorim Leila Denise Alves Ferreira , Vieira-Meyer Anya Pimentel Gomes Fernandes , Ichihara Maria Yury Travassos , Aquino Rosana , Barreto Mauricio Lima , Junior Elzo Pereira Pinto 
Published: June 2023

Abstract

Background
Adequate antenatal care (ANC) is fundamental in preventing maternal and neonatal mortality. Developing indicators for assessing the ANC quality in Primary Health Care (PHC) is essential.
Objective
To characterize subgroups of quality of care with respect to ANC at the PHC level in Brazil.
Methods
We conducted a cross-sectional study with data from the first Brazil's National Program for Improving Primary Care Access and Quality (PMAQ-AB) cycle (2012). 16,566 PHC teams participated in the first cycle of the PMAQ-AB, corresponding to 49.6% of the teams active across Brazil, distributed across 69.3% of Brazilian municipalities. To evaluate the ANC quality, six indicators were elaborated: "Medicines", "Protocols and patient flows", "Record keeping practices", "ANC routine tests", "Protocols for early detection of pregnant women and ANC provision", and "Identification and ANC of Low/High-risk pregnancies". Latent Class Analysis (LCA) was carried out to characterize the quality of care provided by PHC teams according to these six indicators.
Results
"Identification and ANC of Low/High-risk pregnancies" indicator had the highest percentage of teams providing adequate care (39.5%), while "ANC routine tests" had the lowest percentage (16.8%). The LCA identified three classes, and 20.5% of PHC teams had the probability of belonging to the class denominated "High adequacy".
Conclusion
Using a dataset from a survey carried out with health professionals at the PHC level allowed us to select indicators and characterize PHC teams in terms of the adequacy of ANC provided. This approach can guide global initiatives to evaluate the quality of ANC.
Improvement of the scheme of preventive and treatment measures for associated respiratory infections in cats
Authors: Ruban Volodymyr , Severyn Raisa , Gontar Alla , Haragulya Halina , Hlushchenko Yaroslav 
Published: June 2023

The aim of the research was to study the etiological structure of associated infectious rhinotracheitis in cats. It has been established that infectious rhinotracheitis is registered among cats in association with infectious diseases of bacterial aetiology.
Materials and methods. The research was conducted based on a private veterinary clinic in the city of Kharkiv in 2021–2023. A total of 48 cats with signs of respiratory tract damage were examined in the clinic. Samples for laboratory diagnosis were obtained by oropharyngeal swab and transnasal lavage. To confirm the laboratory diagnosis of infectious rhinotracheitis in cats, we used the PCR method (using the Rynovir test system), as well as rapid IXA tests (FHV Ag) manufactured by ASAN PHARM (China) or ZRbio (China). To detect specific antibodies, the method of serological (retrospective) ELISA diagnostics was used using the immunoComb Feline VacciCheck device-free ELISA test system manufactured by Biogal, Israel. Bacteriological studies were carried out according to well-known methods using special nutrient media for the selection and identification of associated bacterial microflora. The sensitivity of selected dominant cultures of bacteria to antibiotics was determined by diffusion in agar using discs containing antibiotics.
Results. It was investigated that Bordetella bronchiseptica was determined as the dominant pathogen in the bacterial association – 52.0 %. Isolated cultures of Bordetella bronchiseptica were sensitive to cefamycin. The proposed science-based scheme for the treatment of infectious rhinotracheitis in association with feline bordetelliosis ensures high therapeutic efficiency.
Conclusions. For the treatment of infectious respiratory diseases in cats, it is necessary to carry out individual complex etiotropic, pathogenetic and symptomatic therapy. Homoeopathic therapy relieves the symptoms of the disease, promotes faster recovery, and is an addition to the main methods of treatment. The main specific measure of disease prevention is timely vaccination (inoculation), the effectiveness of which, according to our research, ranges from 71 % to 100 %.
Comparison of hemodynamic stability of propofol ketamine versus etomidate ketamine during induction in peritonitis cases posted for emergency surgery
Authors: Suneetha Dadi , Rajaratnakumar Nimmagadda , Kumar Sunkesula Bharat , Athmakuri Krishna Saketh , Quadri Syeda Farozan , Vani Shalmala 
Published: June 2023

The aim: The aim of the present study is to evaluate the hemodynamic stability of propofol ketamine versus etomidate ketamine during induction of anaesthesia in peritonitis cases posted for emergency surgery.
Methods: Sixty patients with peritonitis, posted for emergency surgery under general anaesthesia, were randomly allocated to two groups. Group propofol ketamine (P + K) comprised of 30 patients (n=30) were induced with propofol 1 mg/kg and ketamine 0.75 mg/kg IV. Group etomidate ketamine (E + K) comprised 30 patients induced with etomidate 0.3 mg/kg and ketamine 0.75 mg/kg. The hemodynamic effects of the combination of the drugs in both groups were compared before and after induction.
Results: The change in saturation (SPO2) and Heartrate between the groups P+K & group E+K before induction and after intubation was similar in both groups. There was a statistically insignificant fall in systolic blood pressure (SBP) and diastolic blood pressure (DBP), and mean arterial pressure (MAP) in group P+K before and after induction when compared to group E+K.
Conclusions: The propofol ketamine and etomidate ketamine combinations have a similar haemodynamic profile and are equally effective in maintaining haemodynamic stability during induction and intubation.