bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic challenges for Aelurostrongylus abstrusus infection in cats from endemic areas in Italy.
Authors: Vismarra Alice , Schnyder Manuela , Strube Christina , Kramer Laura , Colombo Liliana , Genchi Marco 
Published: March 2023

Abstract
Background
The lungworm Aelurostrongylus abstrusus infects wild and domestic feline species worldwide and is considered a primary respiratory parasite of cats. Definitive diagnosis is based on identification of first stage larvae (L1s) released in faeces approximately 5 to 6 weeks after infection. More recently, serology has been shown to be a diagnostic alternative for A. abstrusus infection in cats. The present study was aimed at evaluating the diagnostic performance of serological antibody detection compared to faecal examination for A. abstrusus infection in a population of cats with known infection status from endemic areas in Italy and to identify factors (larval scores, age, co-infections with other helminths) that may influence test sensitivity and specificity.
Methods
All cats resulting positive in the Baermann technique (n=78) were tested with the A. abstrusus ELISA An additional 90 serum samples from cats living in three geographical areas with infection prevalence greater than 10%, but that resulted negative in Baermann, were also tested.
Results
Among 78 cats copromicroscopically positive for L1s of A. abstrusus (Group 1), 29 (37.2%) were seropositive in ELISA. Of the 90 cats from Group 2 (cats living in three geographical areas in Italy with A. abstrusus prevalence greater than 10%, but negative in Baermann examination), 11 (12.2%) were positive in ELISA. The overall seroprevalence was 23.8%. There was no statistical difference either between average optical density (OD) values of cats excreting >100 L1s vs. cats excreting <100 L1s (0.84 vs. 0.66; P value = 0.3247) or comparing the OD values with age of infected cats. Few Baermann-negative cats positive for Toxocara cati or hookworms were seropositive, supporting lack of cross reactivity to these nematodes.
Conclusions
Results from the present study suggest that relying solely on faecal examination may underestimate prevalence of A. abstrusus infection in cats and that field surveys based on antibody detection is useful for establishing true prevalence of infected and/or exposed animals.
Oral infection and survival of Trypanosoma cruzi in sugar cane juice conditioned at different temperatures
Authors: Suzuki Augusto Furukawa , de Souza Ewelyn Regina , Spadella Maria Angélica , Chagas Eduardo Federighi Baisi , Hataka Alessandre , Martins Luciamáre Perinetti Alves 
Published: March 2023

Abstract
The current most important form of transmission for Trypanosoma cruzi is the oral route, being responsible for high mortality during the acute phase in infected individuals. Therefore, the present study has investigated the possibility of infection for this parasite using sugar cane juice in different temperatures employing metacyclic trypomastigotes obtained from xenodiagnosis performed in Swiss mice previously infected with T.cruzi Y strain, and then diluted in 15 mL of sugar cane juice. In addition, 20 mice were infected using 2,5 mL of that mixture for the stomach histopathological analysis, which was euthanized after the second, fourth, tenth, and fifteenth days after infection. Concurrently, six batches of 10 mice were fed using 1,5 mL of the mixture kept for 12 hours at temperatures of -80ºC, -20ºC, + 2ºC, + 28ºC, + 60ºC, and + 80º C, for later infection verification. Inflammatory infiltrate was found after the second day of infection, and amastigotes nests were present after the fourth, tenth, and fifteenth day in the margo plicatus stomach region. Viable trypomastigotes were observed in the microtubes kept at -80ºC, -20,ºC and + 2ºC, but the animal’s infection was observed in -80ºC and + 2ºC groups. In vitro tests demonstrated the decrease of T. cruzi trypomastigote viability, being negative after 120 hours at -20ºC, 144 hours at + 2ºC, in contrast to the maintenance of survival after 168 hours at -80ºC. We also observed the ability of survival and infection of T. cruzi packaged at -80ºC without the use of preservatives and, therefore, less suitable for storing food.
Fuzzy clustering analysis for the loan audit short texts
Authors: Han Lu , Liu Zhidong , Qiang Jipeng , Zhang Zhuangyi 
Published: March 2023

Abstract
In China, post loan management is usually executed in the form of visit survey by credit man. Through quarterly visit survey, a large number of loan audit short texts are collected, which contain valuable information for evaluating the credit status small and micro enterprises. However, there is still lack of methods for analyzing this kind of short texts. This paper proposes a method for processing these loan audit short texts called Fuzzy Clustering Analysis (FCA). This method firstly transforms short texts into a fuzzy matrix through lexical analysis; Then, the similarity between records is calculated based on each fuzzy matrix, and an association graph is constructed with the similarity. Finally, Prim minimum spanning tree is used to extract clusters based on different α cuts. Experiments with actual data from a commercial bank in China have revealed that FCA yields suitable clustering results when handling loan audit briefs. Moreover, it exhibits superior performance compared to BRICH, Kmean, and FCM..
Role of IgG avidity in the eyes with active Toxoplasma retinochoroiditis
Authors: Lakhmavar Pratik , Kelgaonkar Anup , Patel Anamika , Khalsa Ashish , Basu Soumyava 
Published: March 2023

Abstract
Purpose
To study toxoplasma IgG avidity to evaluate the stage of infection and clinical implications in cases of toxoplasma retinochoroiditis in eastern India.
Methods
Retrospective review of toxoplasma retinochoroiditis cases with toxoplasma serology for IgG, IgM, and IgG avidity.
Results
Included in this study were 17 eyes of 17 patients which had active retinitis located in the macula (14), mid-periphery (2), or periphery (1). They were either primary lesions (12) or reactivations (5). All the cases had toxoplasma IgG positive; one case had IgM positivity while all the cases had high IgG avidity values. IgG avidity had a positive correlation with the duration of symptoms.
Conclusions
We observed high IgG avidity values in active retinochoroiditis in both primary ocular toxoplasmosis and reactivation subgroups denoting a late ocular manifestation after initial systemic infection.
Syntheses, optical properties, and bioimaging application of near-infrared aza-BODIPY dyes with electronic push-pull system
Authors: Yao Yibiao , Xiao Xiaodan , Liu Shaojie , Tian Baozhu , Zhang Jinlong 
Published: March 2023

Abstract
It is still a challenging work of developing near-infrared (NIR) fluorescence dyes with excellent optical properties. Herein, we synthesized a series of NIR aza-BODIPY fluorescence dyes with electronic push-pull system and further investigated their photophysical properties, photostability, and application in cellular imaging. It was found that introducing electron-withdrawing groups (EWGs) on the para-position of aza-BODIPY 1,7-phenyls not only leads to the significant redshift of absorption and fluorescence emission bands of aza-BODIPY dyes but also increases their fluorescence quantum yield and photostablility. The DFT calculations and cyclic voltammetry measurements proved that introducing EWGs on para-position of 1,7-phenyls can decrease the energy level difference between HOMO and LUMO, resulting in the redshift of maximum absorption and emission wavelengths. On the basis of the feasible experiment results of cellular imaging and cytotoxicity assay, it is expected that the optimized aza-BODIPY dyes have a bright application prospect for in-vivo cellular or tissue imaging.
High pyrethroid resistance associated to high frequency of 1014F and 1014S kdr mutations in Anopheles arabiensis from Ouagadougou, Burkina Faso
Authors: Somda Zephirin , Zanré Nicolas , Wangrawa Dimitri W. , Toé Hyacinthe K. , Sombié Aboubacar , Saiki Erisha , Fukumoto Shinya , Sakurai Tatsuya , Sanon Antoine , McCall Philip J. , Kanuka Hirotaka , Weetman David , Badolo Athanase 
Published: March 2023

Abstract
Background: Malaria remains a major public health threat in Burkina Faso. In most sub-Saharan African countries, malaria control relies mainly on long-lasting insecticide-treated nets (LLINs) and indoor residual spray (IRS). In Burkina Faso, long-term selection pressure exerted on malaria vectors by insecticide used in agriculture, has been exacerbated by countrywide LLINs distribution campaigns conducted every three years since 2010. The current study investigated insecticide resistance and the mechanisms involved in the malaria vector populations of the Anopheles gambiae complex in urban localities of Ouagadougou, Burkina Faso.
Methods: Anopheles gambiae s. l. larvae were collected from three localities of Ouagadougou from July to September 2018, and reared in the laboratory to adults. The susceptibility profile to pyrethroid, carbamate, and organophosphate insecticides was assessed using World Health Organization (WHO) tube assays. PCR was used for mosquito species identification and to detect insecticide target-site mutations involved in insecticide resistance.
Results: More than 95% of the collected An. gambiae s. l. were identified as An. arabiensis. WHO susceptibility assays revealed that, in all localities, An. arabiensis displayed high resistance to permethrin and deltamethrin (mortalities both <30%), but were fully susceptible to bendiocarb, fenitrothion, and malathion. High frequencies of pyrethroid resistance-associated kdr mutations 1014F (0.81) and 1014S (0.18) were recorded, although carbamate and organophosphate-associated Ace-1 119S mutation was not found.
Conclusion: High pyrethroid resistance, underpinned, at least in part by high-frequency knockdown resistance mutations, in the urban malaria vector population suggests the potentially poor performance of pyrethroid-only LLINs in the cities where they are distributed. This result supported the switch to next generation LLINs, which are not solely reliant on pyrethroids to kill host-seeking mosquitoes in the cities of Burkina Faso.
New composite materials-based vanadium and reduced graphene oxide as cathode for battery lithium-ion
Authors: Moulahi Ali , Mjejri Issam , Janene Fatma , Alsherari Sahr A. , Al-Marri Abdulhadi H. 
Published: March 2023

Abstract
Vanadium oxides and their derivatives are known for their performance in lithium-ion batteries (LIBs). However, the practical application of these materials in commercial LIBs is still hindered by its intrinsic low ionic diffusion coefficient and moderate electrical conductivity. To improve their conductivity and their structure stability, a robust scenario has been proposed in this study. Herein, we proposed the synthesis of the nanocomposite materials H2V3O8/ reduced graphene oxide (rGO) as novel composite cathode materials for LIBs. The structure, composition, and morphology of the hydrothermal powders are characterized by XRD, Raman spectroscopy, SEM, and TEM. To evaluate the electrochemical performance of the H2V3O8/rGO, cyclic voltammetry (CV), charge/discharge and impedance spectroscopy studies were used. The H2V3O8/rGO cathode exhibit improved electrochemical performance in terms of specific capacitance, reversibility and stability compared to single-component H2V3O8. At 0.1 A.g-1, the specific discharge capacity for the pure H2V3O8 and H2V3O8/rGO composite is about 320 mAh g-1 and 390 mAh g-1 respectively. The improvement in the electrochemical capacity of the composite anode is mainly ascribed to a cooperative effect between the reduced graphene with good electrical conductivity and the unique nano-sized H2V3O8.
Breast Cancer Using Deep Learning and Histopathology Images
Authors: Hajiarbabi Mohammadreza 
Published: March 2023

Abstract
Breast cancer is among one of the most common cancers in the world. Early detection in this area can be crucial and help the patients to start the medication. One way to detect the breast cancer is using histopathology images. In recent years deep learning methods are among the methods that have shown high accuracy in detection cancerous tumors in images. In this work different deep learning methods such as Xception, MobileVNet, VGG16 and VGG19 have been used and the results are compared. Two popular datasets in breast cancer have been used. Transfer learning is used for pre-training the structures. In addition, different preprocessing methods is introduced and used to increase the number of images in the dataset.
The association of lipid metabolism and sarcopenia among older patients: a single- center retrospective cohort study
Authors: Jiang Yiwen , Xu Bingqing , Zhang Kaiyu , Zhu Wenyu , Lian Xiaoyi , Xu Yihui , Chen Zhe , Liu Lei , Guo Zhengli 
Published: March 2023

Abstract
Background: Sarcopenia has become a heavy disease burden among the elderly. Lipid metabolism was reported to be involved in many degenerative diseases. This study aims to investigate the association between dysregulated lipid metabolism and sarcopenia in geriatric inpatients.
Methods: This retrospective cohort study included 303 patients aged ≥ 60, of which 151 were diagnosed with sarcopenia. The level of total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), homocysteine (HCY), BMI, and fat percentage, were compared between sarcopenia and non-sarcopenia patients. The Spearman correlation coefficient was used to estimate the association between sarcopenia and the level of lipid metabolism. To determine risk factors related to sarcopenia, a multivariate logistic regression analysis was carried out, and a risk prediction logistic model was derived based on significant risk factors in multivariate logistic analysis.
Results: We observed a trend of rising sarcopenia prevalence with increasing age, decreasing BMI, and fat percentage (p < 0.001, Cochran Armitage test). Multivariate logistic regression analysis revealed sarcopenia’s risk factors, including older age, male sex, lower levels of BMI, TC, and TG, and higher levels of LDL and HCY (p < 0.05). The multivariate logistic regression model showed the risk prediction value of sarcopenia, with an area under the receiver operating curve (AUC) of 0.7466.
Conclusions: Our study provided thorough insight into the risk factors associated with sarcopenia. It demonstrated that an increase of lipid metabolism-related parameters (BMI, TG, TC), within normal reference ranges, may be protective against sarcopenia. The present study can illuminate the direction and significance of lipid metabolism-related factors in preventing sarcopenia.
The Use of Extreme Outliers of a Random Variable for Prediction of Drawn Numbers in Lottery Games
Authors: Gschwandtner Libor 
Published: March 2023

Abstract
This paper discusses the use of outliers of a random variable for the purpose of predicting numbers in lottery games. However, the described method is universal and can be used in other areas as well. Lotteries were chosen in this case because of the possibility of using many game databases or random number generators, which makes the method easy to verify. The paper describes how the choice of an appropriate random variable can be used to move from a uniform distribution to a distribution that allows better statistical analysis of data from draw databases, and which can also be used for prediction purposes. The key role here is played by the outliers of the random variable, which are used to calculate the criteria that allow, with the regular updating of the database and the subsequent calculation of the actual values of the random variable for individual game numbers and their comparison with the selected criterion, to extract from the set of all game numbers those numbers or a set of numbers that have an increased probability of being drawn.
Glocalization of madurese bull racing: a cross-sectional study with equation modeling in ethnophysics
Authors: Suprapto Nadi , Deta Utama Alan , Suliyanah Suliyanah , Sya’roni Imam , Nisa Khoirun 
Published: March 2023

Abstract
Through the scientific research project with the theme "Implementation of the GBR Program: Glocalization of Bull-Racing to preserve Madurese local wisdom", this research was manifested. The research aimed to analyze the hypothetical model that included five variables: ethnoscience, ethnophysics, metaphysics, glocalization, and bull-racing research and find out the fit model of GBR. The research utilized a survey study. After developing the GBR scale and conducting items selection, and experts' validations, the data collection process was targeted to Madurese, who understands bull racing as a pearl of local wisdom. Finally, 241 data were reported in the analysis. An Exploratory Factor Analysis (EFA) and a Confirmatory Factor Analysis (CFA) aided by SPSS and AMOS software were conducted to gain the fit model of the GBR. The findings indicated that the GBR scale developed is valid and reliable. The hypothetical model proposed five latent variables: ethnoscience, ethnophysics, metaphysics, glocalization, and bull-racing research. These variables in-lines with the fit model of GBR. This research has implications for future research, especially in developing and expanding bull racing research in ethnoscience and ethnophysics.
Von Hippel–Lindau syndrome with multiple neuroendocrine neoplasms as the initial manifestation - a case report of an elusive presentation
Authors: Chen Ying , Zhou Ning , He Xin , Su Yuanliang , Tang Hao , Wang Fanrong , Xu Wenfeng , Chen Zhongjiao , Guo Deyu 
Published: March 2023

Abstract
Background Von Hippel–Lindau (VHL) syndrome is a rare genetic tumor characterized by the recurrent development of multiple benign or malignant tumors involving multiple organs throughout a patient’s life. It is easy to precisely diagnose when the patient has characteristic central nervous system hemangioblastomas (CNS-H) as the main manifestation.VHL disease can be classified into type 1,2A,2B, and 2C based on the type of gene mutation and tumor occurrence.
Case presentation This paper presents a case of a 29-year-old female patient who presented with multiple retroperitoneal tumors as the primary manifestation of her condition. Following surgical intervention, pathological examination confirmed the presence of multiple paraganglioma-pheochromocytoma (PCC/PGL) and pancreatic neuroendocrine tumors. Subsequent brain magnetic resonance imaging (MRI) revealed the presence of a small, highly vascularized nodule in the cerebellum, which was strongly indicative of a hemangioblastoma based on imaging characteristics. The VHL germline mutation was confirmed through molecular testing, and the final diagnosis was multiple neuroendocrine neoplasms in VHL type 2B.
ConclusionThe patient had VHL syndrome with multiple neuroendocrine tumors as the initial manifestation, which can be easily overlooked during clinical and pathological diagnosis.Therefore, young patients with multiple tumors should essentially be thoroughly examined to determine the relationship between the diseases. Furthermore, pathologists need to be knowledgeable about tumors that arise from different gene mutations and consider the patient’s family history. This strategy will enable early diagnosis, timely treatment, and effective prevention of this disease.
A Synthetic Text Image Generator Based on Instance Weights
Authors: Lu Tongwei , Liu Siyang , Wang Wei , Zhu Rui , Li Xun 
Published: March 2023

Abstract
For scene text recognition (STR), synthetic text image generators have been successfully applied to alleviate the lack of annotated text images from the real world. However, when targeting some challenging text images, their methods have difficulty extracting foreground and background information, and the differences between the synthetic and real samples are large and difficult to adapt. In this paper, we introduce a new end-to-end synthetic text image generator, STIW, by designing a series of synthetic strategies to generate synthetic data that fit realistic text images. In addition, we propose the instantiated weights method, which connects the distributions of different domains by learning and exploiting the instance weights and the Mahalanobis distance metric. This reduces the inter-sample variation in the migration learning process of synthetic text images. Finally, we added an Attention in the LSTM of the recognition algorithm, using a mixed training learning strategy. In our experiments, our method has greater STR boosting performance than the synthetic datasets MJSynth (MJ), SynthText (ST), and SynthTIGER, and the instantiated weight method is able to further improve STR performance. Our ablation study demonstrates the benefits of using individual synthetic strategies, as well as adding to some of the problems of synthetic text image methods.
Ecological Service Spatiotemporal Evolution Characteristics in China's Karst Mountainous Areas
Authors: xu zijin , zhang xusong 
Published: March 2023

Abstract
Conducting long-term ecosystem service evolution research in mountain Karst areas from both horizontal and vertical scales can not only deepen the understanding of the development and evolution laws of the ecosystem in mountain Karst areas, but also has important significance for regional sustainable development. Based on the InVEST model, this paper explores the temporal changes of ecosystem services in mountain Karst areas from 2000 to 2020 in both horizontal and vertical spaces.Research has found that: (1) Precipitation conditions still determine the water production service level of the research area at the horizontal scale; the trend of soil conservation services for different land use types is consistent, and forest ecosystems are most conducive to soil conservation. The high and low values of the habitat index show similar spatial distribution in the research area, and the spatial heterogeneity is obvious. Regions with intense human activity are the low-value areas of the habitat index. (2) At the vertical scale, the water production service of the research area shows a fluctuating and decreasing trend with the increase of altitude; the soil conservation service shows a fluctuating and decreasing trend with the increase of altitude; while the habitat quality shows an increasing trend with the increase of altitude, which is opposite to the changing characteristics of water production service and soil conservation service. This study attempts to reveal the characteristics of the evolution of ecosystem services in Karst mountainous areas from two perspectives of horizontal and vertical scales.According to research findings, managers should pay more attention to ecological protection measures in low-altitude areas, and implement different ecological protection measures for high-altitude and low-altitude areas when necessary. These findings can provide more practical measures for the ecological sustainability of mountain karst areas and serve as a reference for similar regions around the world.