bluuebunny/crossref_metadata_2025_split huggingface dataset:
Light and temperature induced shedding, encystment and excystment of avian fluke Philophthalmu sp. under laboratory conditions
Authors: Jayawardena U. A , Amerasinghe P. H , Rajakaruna R. S 
Published: March 2023

Abstract
Objective: Cercarial shedding, encystment and excystment of digeneans are complex processes, dependent on intrinsic and extrinsic factors. We reportsequential events occur during shedding, encystment and excystment of cercariae of Philophthalmus sp.,released by freshwater snail, Thiara scabra. Snails were exposed to direct sunlight in petri dishes containing dechlorinated tap water (pH~ 6.5, 27° C) under laboratory conditions and the shedding, encystment and excystment of cercariae were observed under dissecting microscope.
Results:Megarulous cercariae actively emerged from the snail exhibited vigorous movement prior to encystment. They attached to the petri dish with the adhesive gland at the tip of the tail,immobilized the body, shed the tail and formed a flask shapedcyst within 10−15 min. After 30−40 min, excystment started with sequential events; activation, breaching and final release of the metacercaria from the cyst, completed in another 10−15 min. The excessive heat emanating from the microscope light bulb may have induced this behaviour. This is the first report of Philophthalmus sp, infecting T.scabrain Sri Lanka.Experimental induction of the life cycle stages of digeneans may provide valuable insight to explore their life history and provide models for testing the efficacy of antihelmintics against trematodes of medical and veterinary importance.
Data-driven methodology for optimal Lithium-ion battery RUL prediction
Authors: Puente Daniel , Amelibia Jon , Cumplido Iker , Hernandez Aitor , Ugarte Iñigo , Duo Aitor 
Published: March 2023

Abstract
Lithium-ion batteries have emerged as a prevalent power source in a variety of industries, including the electric vehicle sector due to their higher energy density and low self-discharge. With the use and passage of time, batteries degrade and eventually die, endangering the integrity of the objects they power. The ability to accurately predict the Remaining Useful Life (RUL) of lithium-ion batteries is crucial for optimizing their utilization and ensuring their safe operation. For this purpose, a deep learning-based approach trained on the widely used Oxford battery degradation dataset with the help of Generative Adversarial Networks (GANs) has been implemented. The designed network consists of a Long-Short-Term Memory (LSTM) architecture with the implementation of a stratification strategy and a custom loss function. The illustrative results show that the suggested approach can produce adaptable and reliable predictions of the RUL.
InSAR monitoring and evaluation study on the safety and stability of high-altitude limestone dumps
Authors: DONG Jianjun , Mei Yuan , JIANG Hao , GAO Ke 
Published: March 2023

Abstract
The conventional method of monitoring the stability and safety of slopes at high-altitude dumps is associated with a high financial investment and poses a risk for personnel involved in the deployment of monitoring instruments. In order to mitigate the challenges posed by conventional monitoring methods, including high investment and potential risks to personnel, we employed Synthetic Aperture Radar Interferometry (InSAR) technology for the evaluation of slope stability at a high-altitude dumps in Sangri County, Shannan, Tibet. The utilization of Synthetic Aperture Radar Differential Interferometry (D-InSAR) technology was employed to observe the deformation of the dumps over the course of the rainy season, spanning from 2019 to 2022. A four-year (Nov 2018 to Oct 2022) deformation rate assessment of the dumps was performed utilizing the Small Baseline Subset⁃Interferometric Synthetic Aperture Radar (SBAS-InSAR) technology. The accuracy of InSAR monitoring in high-altitude slope areas was verified through correction with the results obtained from GNSS RTK monitoring. The state of stability and safety of the slope at the dumps was evaluated based on the results obtained from deformation monitoring. The D-InSAR monitoring results indicated that when the rainfall surpassed 300 mm, the slope deformation of the dumps exhibited a maximum displacement of 20 mm, necessitating intervention. The results of SBAS-InSAR monitoring indicate that the slope of the dumps underwent substantial deformation changes during the rainy season, yet remained stable during the dry periods. However, the results of our SBAS-InSAR monitoring indicate that the deformation and displacement curves of the dumps did not correspond entirely with changes in rainfall, and exhibited a hysteresis phenomenon in terms of deformation magnitude. The application of InSAR technology allows for the comprehensive and dynamic monitoring of the slopes at high-altitude dumps, offering reliable long-term assessments of safety and stability and ensuring secure and stable operations.
CRitical Assessment of genomic COntamination detection at several Taxonomic ranks (CRACOT)
Authors: Cornet Luc , Lupo Valerian , Declerck Stéphane , Baurain Denis 
Published: March 2023

Abstract
Background Genome contamination is a well-known issue in (meta)genomics. Although it has received a lot of attention, with an increasing number of detection tools made available over the years, no comparison between these tools exists in the literature.
Results Here, we report the benchmarking of six of the most popular tools using a simulated framework. Our simulations were conducted on six different taxonomic ranks, from phylum to species. The analysis of the estimated contamination levels indicates that the precision of the tools is not good, often due to large overdetection but also underdetection, especially at the genus and species ranks. Furthermore, our results show that only redundant contamination is accurately estimated.
Conclusion Our results indicate that using a combination of tools, including Kraken2, is necessary to estimate the contamination level accurately. We also provide a freely available contamination simulation framework, CRACOT, which may be useful for estimating the accuracy of future algorithms.
Neurodesk: An accessible, flexible, and portable data analysis environment for reproducible neuroimaging
Authors: Bollmann Steffen , Renton Angela , Dao Thuy , Johnstone Tom , Civier Oren , Sullivan Ryan , White David , Lyons Paris , Slade Benjamin , Abbott David , Amos Toluwani , Bollmann Saskia , Botting Andy , Campbell Megan , Chang Jeryn , Close Thomas , Eckstein Korbinian , Egan Gary , Evas Stefanie , Flandin Guillaume , Garner Kelly , Garrido Marta , Ghosh Satrajit , Grignard Martin , Hannan Anthony , Huber Laurentius (Renzo) , Kaczmarzyk Jakub , Kasper Lars , Kuhlmann Levin , Lou Kexin , Mantilla-Ramos Yorguin-Jose , Mattingley Jason , Morris Jo , Narayanan Akshaiy , Pestilli Franco , Puce Aina , Ribeiro Fernanda , Rogasch Nigel , Rorden Chris , Schira Mark , Shaw Thomas , Sowman Paul , Spitz Gershon , Stewart Ashley , Ye Xincheng , Zhu Judy , Hughes Matthew , Narayanan Aswin 
Published: March 2023

Abstract
Neuroimaging data analysis often requires purpose-built software, which can be challenging to install and may produce different results across computing environments. Beyond being a roadblock to neuroscientists, these issues of accessibility and portability can hamper the reproducibility of neuroimaging data analysis pipelines. Here, we introduce the Neurodesk platform, which harnesses software containers to support a comprehensive and growing suite of neuroimaging software (https://www.neurodesk.org/). Neurodesk includes a browser-accessible virtual desktop environment and a command line interface, mediating access to containerized neuroimaging software libraries on various computing platforms, including personal and high-performance computers, cloud computing and Jupyter Notebooks. This community-oriented, open-source platform enables a paradigm shift for neuroimaging data analysis, allowing for accessible, flexible, fully reproducible, and portable data analysis pipelines.
Antipsychotic Polypharmacy and Associated Factors among Patients with Schizophrenia at Comprehensive Specialized Hospitals in the Northwest Ethiopia: a Multicenter Cross-sectional Study, 2022
Authors: Tamene Fasil Bayafers , Sema Faisel Dula , Sendeke Ashenafi Kibret 
Published: March 2023

Abstract
Background: Antipsychotic polypharmacy refers to the co-prescription of more than one antipsychotic drug for a particular patient. Despite recommendations by guidelines to minimize combinations of antipsychotics except after repeated trial of antipsychotic monotherapy, it is quite a frequent practice to utilize combinations.
Objective: This study aimed to assess antipsychotic polypharmacy and its associated factors among patients with schizophrenia at Comprehensive Specialized Hospitals in Northwest Ethiopia.
Method: A cross sectional study was conducted among 422 patients with schizophrenia using systematic random sampling. The Alcohol, Smoking and Substance Involvement Screening Test, were used to measure substance use. Data entry and analysis were done using Epi-data version 4.6.1 and SPSS version 24 respectively. Binary logistic regression was applied to identify factors associated with antipsychotic polypharmacy. Variables with a p-value < 0.05 at a 95% confidence interval were considered as statistically significant.
Result: The overall prevalence of antipsychotic polypharmacy was 22.7% (CI: 19 - 27). Duration of illness (AOR: 2.88; CI: 1.49, 5.59), duration of treatment (AOR: 3.79; CI: 1.05, 13.62), number of admission (AOR: 4.93; CI: 2.52, 9.64) and substance use (AOR: 2.58; CI: 1.49, 4.47) were significantly associated with antipsychotic polypharmacy.
Conclusion and recommendation: In this study, antipsychotic polypharmacy was recorded in considerable amount of patients. Duration of illness, duration of treatment, number of admissions, and substance use were significantly associated with antipsychotic polypharmacy. Therefore, clinicians and other responsible stakeholder groups should identify interventions that need to be implemented to improve antipsychotic utilization.
Multiple-Response Optimization by using Neural Networks and Metaheuristic Algorithms
Authors: Abbasi Hossein , Noorossana Rassoul , Tavakkoli-Moghaddam Reza 
Published: March 2023

Abstract
An important problem in manufacturing or product and process design is optimization of several responses simultaneously. Common approaches for multiple response optimization problems often begin with estimating the relationship between responses as outputs and control factors as inputs. Among these methods, response surface methodology (RSM), has attracted more attention in recent years, but in certain cases, relationship between responses and control factors are far too complex to be efficiently estimated by regression models and RSM method especially when we want optimize several responses simultaneously. An alternative approach proposed in this paper is to use artificial neural network (ANN) to estimate the response functions, Because of high mean square error (MSE) in neural network training step we use heuristic algorithms instead of Descent Gradient based algorithms. In the optimization phase a particle swarm optimization (PSO) and desirability function are considered to determine the optimal settings for the control factors. Two case study from literature are prepared to illustrate the strength of proposed approach in optimization of multiple response problems.
Microbial diversity and activity of biofilms from geothermal springs in Croatia
Authors: Kostešić Ema , Mitrović Maja , Kajan Katarina , Marković Tamara , Haumann Bela , Orlić Sandi , Pjevac Petra 
Published: March 2023

Abstract
Hot spring biofilms are stable, highly complex microbial structures. They form at dynamic redox and light gradients and are composed of microorganisms adapted to the extreme temperatures and fluctuating geochemical conditions of geothermal environments. In Croatia, a large number of poorly investigated geothermal springs hosts biofilm communities. Here, we investigated the microbial community composition of biofilms collected over several seasons at 12 geothermal springs and wells. We found biofilm microbial communities to be temporally stable and highly dominated by Cyanobacteria in all but one high-temperature sampling site (Bizovac well). Of the physiochemical parameters recorded, temperature was found to have the strongest influence on biofilm microbial community composition. Besides Cyanobacteria, the biofilms were mainly inhabited by Chloroflexi, Gammaproteobacteria and Bacteroides. In a series of incubations with Cyanobacteria-dominated biofilms from Tuhelj spring, and Chloroflexi- and Proteobacteria-dominated biofilms from Bizovac well, we stimulated either chemoorganotrophic or chemolithotrophic community members, to determine the fraction of microorganisms in biofilms dependent on organic carbon (in situ predominantly produced via photosynthesis) versus energy derived from geochemical redox gradients (here simulated by addition of thiosulfate). We found a surprisingly similar level of activity in response to all substrates in these two distinct biofilm communities and observed microbial community composition and hot spring geochemistry to be poor predictors of microbial activity in the studies systems.
Cell proliferation and apoptosis immunolocalisation suggest an association between aggressiveness and the preferred location of mural unicystic ameloblastomas: A multicentricStudy
Authors: Costa Rebeca Vieira , Balbinot Karolyny Martins , Silveira Gabriela Cristina Avertano Rocha da , Kataoka Maria Sueli da Silva , Menezes Silvio Augusto Fernandes , Freitas Vanessa Morais , Vasconcelos Ana Carolina Uchoa , Etges Adriana , Santos Fabricio Passador , Júnior Sérgio Melo Alves , Jaeger Ruy Gastaldoni , Pinheiro João de Jesus Viana 
Published: March 2023

Abstract
Objectives
This study aimed to assess whether the different biological behaviour between subtypes of unicystic ameloblastoma (UA) are related to the expression of proteins that modulate cell proliferation and apoptosis.
Materials and methods
Immunohistochemical study with a sample of 32 cases of UA, 11 cases of conventional ameloblastoma (CAM) and 10 dental follicles (DF) cases was performed. Cell proliferation was assessed using Ki-67 status and apoptosis by expression of Caspase-3. Positive cells were quantified in each sample and the difference among groups was compared.
Results
Mural UA (MUA) showed a higher immunostaining of Ki-67 (p < 0.05) and a lower immunostaining of Caspase-3 (p < 0.05) compared to luminal and intraluminal subtypes of UA (LIUA) and CAM. For both proteins, the LIUA and CAM groups showed no statistical difference. The neoplastic cells of the cystic capsule of the MUA showed a higher expression of Ki-67 protein (p < 0.0001) and a lower expression of Caspase-3 (p < 0.0001) compared to the lumen. DF showed lower Ki-67 and Caspase-3 immunostaining (p < 0.05) than neoplasms, except when comparing Caspase-3 expression between DF and MUA, as there was no statistical difference.
Conclusions
The higher immunoexpression of Ki-67 and lower of Caspase-3 in MUA, in the parenchyma cells inside the cystic capsule, suggests an association between the biological behaviour and the location of neoplastic cells in the tumour.
Cheese whey permeate as a precursor of lactose-free, galactose-rich bioproducts: an approach for optimization and application
Authors: Flores Viviana K. Rivera , DeMarsh Timothy A. , Fan Xingrui , Alcaine Samuel D. 
Published: March 2023

Abstract
Under specific conditions, the fermentation of whey permeate (WP) by Brettanomyces claussenii can create bioproducts with high galactose concentrations and potential functionalities. The aims of this research are to optimize the fermentation of WP by B. claussenii using response surface methodology to maximize the production of ethanol and galactose, and to characterize various products obtained with this approach. For this purpose, five fermentation factors were studied to determine their impacts on ethanol and galactose: temperature (20 - 40°C), substrate concentration (5 - 15%TS), lactase enzyme/substrate ratio (0 - 40 IU/ g lactose), inoculation level (6 - 8 log cfu/mL), and time (6 - 30 days). Linear models, containing quadratic and interaction effects, were built for the optimization of both responses. Optimal levels were predicted for the maximum obtainment of ethanol and galactose simultaneously, which utilized the following parameters: 15%TS, 37 IU / g lactose, 28°C, 7.5 log cfu/mL, and 30 days, which together were predicted to produce 4.0%v/v ethanol and 51 g/L galactose in the final product. These parameters were then applied to 18-L fermentations, and the resulting fermentates were processed via distillation and freeze-drying. As a result, four product streams were obtained: a fermented product with 3.4%v/v ethanol and 56 g/L galactose; a 45%v/v ethanol distillate; a galactose-rich drink base (63 g/L); and a galactose-rich powder (55%w/w). These results demonstrate that it is possible to maximize the production of ethanol and galactose from the fermentation of WP and to design manufacturing processes based on these optimization models, to develop novel, potentially functional bioproducts from this stream.
Unveiling the anti-glioma potential of a marine derivative, Fucoidan: its synergistic cytotoxicity with Temozolomide-an in vitro and in silico experimental study
Authors: Biswas Indrani , Precilla Daisy S , Kuduvalli Shreyas S , Ramachandran Muralidharan Arumugam , Akshaya S , Raman Venkat , Prabhu Dhamodharan , T.S Anitha , T.S Anitha 
Published: March 2023

AbstractIntroductionGlioma, coined as a “butterfly” tumor associated with a dismal prognosis. Marine algal compounds with the richest sources of bioactive components, act as significant anti-tumor therapeutics. However, there is a paucity of studies conducted on Fucoidan to enhance the anti-glioma efficacy of Temozolomide. Therefore, the present study aimed to evaluate the synergistic anti-proliferative, anti-inflammatory and pro-apoptotic effects of Fucoidan with Temozolomide inin vitroandin silicoexperimental setup.MethodologyThe anti-proliferative effects of Temozolomide and Fucoidan was evaluated on C6 glioma cells by MTT and migration assay. Modulation of inflammatory markers and apoptosis induction was affirmed at the morphological and transcriptional level, by dual staining and gene expression. Molecular docking (MD) and molecular dynamics simulation (MDS) studies were performed against the targets to rationalize the inhibitory effect.ResultsThe dual-drug combination significantly reduced the cell viability and migration of glioma cells in a synergistic dose-dependent manner. At the molecular level, the dual-drug combination significantly down-regulated inflammatory genes with a concomitant upregulation of pro-apoptotic marker. In consensus with our in vitro findings, molecular docking and simulation studies revealed that the anti-tumor ligands: Temozolomide, Fucoidan with 5-(3-Methy1-trizeno)-imidazole-4-carboxamide (MTIC), and 4-amino-5-imidazole-carboxamide (AIC) had the potency to bind to the inflammatory proteins at their active sites, mediated by H-bonds and other non-covalent interactions.ConclusionThe dual-drug cocktail of TMZ and FU may act as a potential therapeutic adjuvant for patients with glioma. However, rigorous pre-clinical experimental evidence is warranted for the possible translation of this combination from bench to bedside
Determinants of delay in treatment seeking among malaria patients in public health facilities of Dambi Dollo and Sayyo district, Western Ethiopia: A facility based case control study
Authors: Goshu Chimdesa Jabesa , Tafasa Sagni Mulugeta 
Published: March 2023

Abstract
Background: To prevent malaria from progressing to the more severe types and from increasing mortality, early and prompt treatment seeking is essential. However other investigations have shown that malaria medications were not received in the necessary amount of time. Determinants of treatment seeking delay among malaria patients must therefore be understood in order to create interventions and strategies.
Objective: The main objective of this study is to identify the determinants treatment seeking delay among malaria patients in public health facilities of Dambi Dollo and Sayyo district, Kellem Wallaga zone, Western Ethiopia, 2022.
Methods: From March 25, 2022, through May 15, 2022, a facility-based case-control research involving a sample of 322 confirmed malaria patients, 161 cases, and 161 controls was done. The study was carried out in six randomly chosen public health facilities, with a proportionate distribution of the total sample among them. Face-to-face interviews with structured and tested questionnaires were used to gather the data. EpiData version 4.4.2.1 was used to import the data, which was then exported to SPSS version 25.0 for cleaning and analysis. The causes of treatment seeking delay were determined using multivariable logistic regression analysis after bivariable analysis had been used to identify candidate factors. A p-value of 0.05 with a 95% confidence interval has been judged statistically significant. The Institutional Review Board of Dambi Dollo University's college of medicine and health sciences granted ethical approval.
Result: Patients of age <15 years of age[AOR=3.7(1.34-10.32)], Farmers in occupation [AOR=3.59(1.17-11.01)], Expensive health care costs[AOR=5.45(1.22-24.23)], Having practice of self-medication[AOR=2.01(1.10-3.67)], Previous malaria infection[AOR=1.82(1.04-3.17)], Decision made by household head[AOR=0.51(0.28-0.91)]and Waiting time at the health facility[AOR=1.91(1.19-3.24)] were found to be important determinants of treatment seeking delay among malaria patients. Conclusion and recommendations: It was discovered that factors such as age, occupation, health care costs, prior malaria infection, waiting period, use of self-medication, and decision-making were factors in treatment seeking delay. The two separate health offices and facilities should collaborate to provide regular health education, appropriate healthcare, and private drug shop inspections.
Impact of preoperative biliary drainage on pancreaticoduodenectomy complications in periampullary tumors: A case-control study
Authors: Tasar Pinar , Kilicturgay Sadik , Bakar Burak , Sen Murat , Sigirli Deniz 
Published: March 2023

Abstract

Purpose This study aimed to investigate the effects of preoperative biliary drainage and different preoperative biliary drainage methods in patients with mechanical jaundice who underwent pancreaticoduodenectomy for periampullary tumors. Methods Patients with periampullary tumor with mechanical jaundice who were operated on at the U.U. General Surgery Department between October 2015 and August 2021 were included in this study. The patients were divided into endoscopic biliary drainage, percutaneous transhepatic biliary drainage, and nonpreoperative biliary drainage groups. Patients’ demographic and clinical characteristics were analyzed. Results Of the 173 patients included in the study, 121 underwent preoperative biliary drainage. Of these 121 patients, 32.2% underwent endoscopic biliary drainage. Age, sex, comorbidities, and weight loss were similar in all groups. Cholangitis was the most common complication in the endoscopic biliary drainage and percutaneous transhepatic biliary drainage groups. Postoperative surgical site infection and Clavien‒Dindo ≥ 3b complications were significantly higher in the endoscopic biliary drainage group (P < .001;P = .031, respectively). The length of stay was significantly higher in the endoscopic biliary drainage group (P = .044). Mortality and readmission were similar in all groups. Conclusions Routine preoperative biliary drainage in periampullary tumor with mechanical jaundice does not reduce complications. Percutaneous transhepatic biliary drainage results in a faster decrease in bilirubin and lower infectious complication rates, but it may cause serious technique-related problems.