bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning-aided risk stratification in Philadelphia chromosome-positive acute lymphoblastic leukemia
Authors: Nishiwaki Satoshi , Sugiura Isamu , Koyama Daisuke , Ozawa Yukiyasu , Osaki Masahide , Ishikawa Yuichi , Kiyoi Hitoshi 
Published: February 2021

AbstractWe used the eXtreme Gradient Boosting algorithm, an optimized gradient boosting machine learning library, and established a model to predict events in Philadelphia chromosome-positive acute lymphoblastic leukemia using a machine learning-aided method. A model was constructed using a training set (80%) and prediction was tested using a test set (20%). According to the feature importance score, BCR-ABL lineage, polymerase chain reaction value, age, and white blood cell count were identified as important features. These features were also confirmed by the permutation feature importance for the prediction using the test set. Both event-free survival and overall survival were clearly stratified according to risk groups categorized using these features: 80 and 100% in low risk (two or less factors), 42 and 47% in intermediate risk (three factors), and 0 and 10% in high risk (four factors) at 4 years. Machine learning-aided analysis was able to identify clinically useful prognostic factors using data from a relatively small number of patients.
A hierarchical machine learning framework for the analysis of large scale animal movement data
Authors: Torney Colin J. , Morales Juan M. , Husmeier Dirk 
Published: February 2021

AbstractBackgroundIn recent years the field of movement ecology has been revolutionized by our ability to collect high-accuracy, fine scale telemetry data from individual animals and groups. This growth in our data collection capacity has led to the development of statistical techniques that integrate telemetry data with random walk models to infer key parameters of the movement dynamics. While much progress has been made in the use of these models, several challenges remain. Notably robust and scalable methods are required for quantifying parameter uncertainty, coping with intermittent location fixes, and analysing the very large volumes of data being generated.MethodsIn this work we implement a novel approach to movement modelling through the use of multilevel Gaussian processes. The hierarchical structure of the method enables the inference of continuous latent behavioural states underlying movement processes. For efficient inference on large data sets, we approximate the full likelihood using trajectory segmentation and sample from posterior distributions using gradient-based Markov chain Monte Carlo methods.ResultsWhile formally equivalent to many continuous-time movement models, our Gaussian process approach provides flexible, powerful models that can detect multiscale patterns and trends in movement trajectory data. We illustrate a further advantage to our approach in that inference can be performed using highly efficient, GPU-accelerated machine learning libraries.ConclusionsMultilevel Gaussian process models offer efficient inference for large-volume movement data sets, along with the fitting of complex flexible models. Applications of this approach include inferring the mean location of a migration route and quantifying significant changes, detecting diurnal activity patterns, or identifying the onset of directed persistent movements.
Rasch testlet model and bifactor analysis: how do they assess the dimensionality of large-scale Iranian EFL reading comprehension tests?
Authors: Geramipour Masoud 
Published: February 2021

AbstractRasch testlet and bifactor models are two measurement models that could deal with local item dependency (LID) in assessing the dimensionality of reading comprehension testlets. This study aimed to apply the measurement models to real item response data of the Iranian EFL reading comprehension tests and compare the validity of the bifactor models and corresponding item parameters with unidimensional and multidimensional Rasch models. The data collected from the EFL reading comprehension section of the Iranian national university entrance examinations from 2016 to 2018. Various advanced packages of the R system were employed to fit the Rasch unidimensional, multidimensional, and testlet models and the exploratory and confirmatory bifactor models. Then, item parameters estimated and testlet effects identified; moreover, goodness of fit indices and the item parameter correlations for the different models were calculated. Results showed that the testlet effects were all small but non-negligible for all of the EFL reading testlets. Moreover, bifactor models were superior in terms of goodness of fit, whereas exploratory bifactor model better explained the factor structure of the EFL reading comprehension tests. However, item difficulty parameters in the Rasch models were more consistent than the bifactor models. This study had substantial implications for methods of dealing with LID and dimensionality in assessing reading comprehension with reference to the EFL testing.
Iron loading is a prominent feature of activated microglia in Alzheimer’s disease patients
Authors: Kenkhuis Boyd , Somarakis Antonios , de Haan Lorraine , Dzyubachyk Oleh , IJsselsteijn Marieke E. , de Miranda Noel F. C. C. , Lelieveldt Boudewijn P. F. , Dijkstra Jouke , van Roon-Mom Willeke M. C. , Höllt Thomas , van der Weerd Louise 
Published: February 2021

AbstractBrain iron accumulation has been found to accelerate disease progression in amyloid-β(Aβ) positive Alzheimer patients, though the mechanism is still unknown. Microglia have been identified as key players in the disease pathogenesis, and are highly reactive cells responding to aberrations such as increased iron levels. Therefore, using histological methods, multispectral immunofluorescence and an automated in-house developed microglia segmentation and analysis pipeline, we studied the occurrence of iron-accumulating microglia and the effect on its activation state in human Alzheimer brains. We identified a subset of microglia with increased expression of the iron storage protein ferritin light chain (FTL), together with increased Iba1 expression, decreased TMEM119 and P2RY12 expression. This activated microglia subset represented iron-accumulating microglia and appeared morphologically dystrophic. Multispectral immunofluorescence allowed for spatial analysis of FTL+Iba1+-microglia, which were found to be the predominant Aβ-plaque infiltrating microglia. Finally, an increase of FTL+Iba1+-microglia was seen in patients with high Aβ load and Tau load. These findings suggest iron to be taken up by microglia and to influence the functional phenotype of these cells, especially in conjunction with Aβ.
Monitoring of a reverse cement job in a high-temperature geothermal environment
Authors: Lipus Martin P. , Reinsch Thomas , Weisenberger Tobias B. , Kragset Steinar , Stefánsson Ari , Bogason Sigurdur G. 
Published: February 2021

AbstractCementing operations in wellbores, especially for long casings, are often challenging and prone to deficiencies when not properly planned and executed. While exploring for and exploiting of geothermal resources at temperatures above the critical point of water was attempted in different drilling projects in recent years, the well design, and especially the procedure to run and cement long production casings became a key challenge for drilling engineers. For the first time, a reverse cementing job for a 2.97 km long production casing in a high-temperature geothermal well could be monitored and analyzed using a combination of permanently installed distributed fiber optic and electronic sensors as well as conventional well logging equipment. Data from the permanently installed sensors were used to monitor and evaluate the cementation process as well as the onset of the cement hydration. Based on the data, the understanding of downhole fluid dynamics during cementation could be improved. Our analysis suggests that the cement was diluted during cement placement and partly lost into the formation. These findings can help to better prepare for future drilling ventures under similar downhole conditions.
S-wave experiments for the exploration of a deep geothermal carbonate reservoir in the German Molasse Basin
Authors: Wawerzinek Britta , Buness Hermann , von Hartmann Hartwig , Tanner David C. 
Published: February 2021

AbstractThere are many successful geothermal projects that exploit the Upper Jurassic aquifer at 2–3 km depth in the German Molasse Basin. However, up to now, only P-wave seismic exploration has been carried out. In an experiment in the Greater Munich area, we recorded S-waves that were generated by the conventional P-wave seismic survey, using 3C receivers. From this, we built a 3D volume of P- to S-converted (PS) waves using the asymptotic conversion point approach. By combining the P-volume and the resulting PS-seismic volume, we were able to derive the spatial distribution of the vp/vsratio of both the Molasse overburden and the Upper Jurassic reservoir. We found that the vp/vsratios for the Molasse units range from 2.0 to 2.3 with a median of 2.15, which is much higher than previously assumed. This raises the depth of hypocenters of induced earthquakes in surrounding geothermal wells. The vp/vsratios found in the Upper Jurassic vary laterally between 1.5 and 2.2. Since no boreholes are available for verification, we test our results against an independently derived facies classification of the conventional 3D seismic volume and found it correlates well. Furthermore, we see that low vp/vsratios correlate with high vpand vsvelocities. We interpret the latter as dolomitized rocks, which are connected with enhanced permeability in the reservoir. We conclude that 3C registration of conventional P-wave surveys is worthwhile.
National Health Insurance Fund’s relationship to retail drug outlets: a Tanzania case study
Authors: Embrey Martha , Mbwasi Romuald , Shekalaghe Elizabeth , Liana Jafary , Kimatta Suleiman , Ignace Gasto , Dillip Angel , Hafner Tamara 
Published: February 2021

Abstract
Background
Achieving universal health coverage will require robust private sector engagement; however, as many low- and middle-income countries launch prepayment schemes to achieve universal health coverage, few are covering products from retail drug outlets (pharmacies and drug shops). This case study aims to characterize barriers and facilitators related to incorporating retail drug outlets into national prepayment schemes based on the experience of the Tanzanian National Health Insurance Fund’s (NHIF) certification of pharmacies and accredited drug dispensing outlets.

Methods
We reviewed government documents and interviewed 26 key informants including retail outlet owners and dispensers and central and district government authorities representing eight districts overall. Topics included awareness of NHIF in the community, access to medicines, claims processing, reimbursement prices, and how the NHIF/retail outlet linkage could be improved.

Results
Important enablers for NHIF/retail outlet engagement include widespread awareness of NHIF in the community, NHIF’s straightforward certification process, and their reimbursement speed. All of the retail respondents felt that NHIF helps their business and their clients to some degree. As for barriers, retailers thought that NHIF needed to provide more information to them and to its members, particularly regarding coverage changes. Some retailers and government officials thought that the product reimbursement prices were below market and not adjusted often enough, and pharmacy respondents were unhappy about claim rejections for what they felt were insignificant issues. All interviewees agreed that one of the biggest problems is poor prescribing practices in public health facilities. They reiterated that prescribers need more supervision to improve their practices, particularly to ensure adherence to standard treatment guidelines, which NHIF requires for approving a claim. In addition, if a prescription has any problem, including a wrong date or no signature, the client must return to the health facility to get it corrected or pay out-of-pocket, which is burdensome.

Conclusions
Little published information is available on the relationship between health insurance plans and retail providers in low- and middle-income countries. This case study provides insights that countries can use when designing ways to include retail outlets in their health insurance schemes.
Application of MXenes in environmental remediation technologies
Authors: Tunesi Mawada Mohammed , Soomro Razium Ali , Han Xi , Zhu Qizhen , Wei Yi , Xu Bin 
Published: February 2021

AbstractMXenes have recently been recognized as potential materials based on their unique physical and chemical characteristics. The widely growing family of MXenes is rapidly expanding their application domains since their first usage as energy materials was reported in 2011. The inherent chemical nature, high hydrophilicity, and robust electrochemistry regard MXenes as a promising avenue for environment-remediation technologies such as adsorption, membrane separation, photocatalysis and the electrocatalytic sensor designed for pollutant detection. As the performance of MXenes in these technologies is on a continuous path to improvement, this review intends to cumulatively discuss the diversity and chemical abilities of MXenes and their hybrid composites in the fields mentioned above with a focus on MXenes improving surface-characteristics. The review is expected to promote the diversity of MXenes and their hybrid configuration for advanced technologies widely applied for environmental remediation.
Xylanolytic Bacillus species for xylooligosaccharides production: a critical review
Authors: Rashid Rozina , Sohail Muhammad 
Published: February 2021

AbstractThe capacity of different Bacillus species to produce large amounts of extracellular enzymes and ability to ferment various substrates at a wide range of pH and temperature has placed them among the most promising hosts for the industrial production of many improved and novel products. The global interest in prebiotics, for example, xylooligosaccharides (XOs) is ever increasing, rousing the quest for various forms with expanded productivity. This article provides an overview of xylanase producing bacilli, with more emphasis on their capacity to be used in the production of the XOs, followed by the purification strategies, characteristics and application of XOs from bacilli. The large-scale production of XOs is carried out from a number of xylan-rich lignocellulosic materials by chemical or enzymatic hydrolysis followed by purification through chromatography, vacuum evaporation, solvent extraction or membrane separation methods. Utilization of XOs in the production of functional products as food ingredients brings well-being to individuals by improving defense system and eliminating pathogens. In addition to the effects related to health, a variety of other biological impacts have also been discussed.
Prospective Observational Study of Weight-based Assessment of Sodium Supplements on Ultramarathon Performance (WASSUP)
Authors: Lipman Grant S. , Hew-Butler Tamara , Phillips Caleb , Krabak Brian , Burns Patrick 
Published: February 2021

AbstractBackgroundSodium supplements are ubiquitous in endurance running, but their impact on performance has been subjected to much debate. The objective of the study was to assess the effect of sodium supplementation as a weight-based predictor of race performance in ultramarathon runners.MethodsProspective observational study during an 80 km (50 mi) stage of a 6-stage 250 km (155 mi) ultramarathon in Chile, Patagonia, Namibia, and Mongolia. Finish line hydration status as measured by weight change, point-of-care serum sodium, and questionnaire provided sodium ingestion categories at 33rd percentile and 66th percentile both for weight-adjusted rate and total sodium consumption, then analyzed for significant relationships to race performance, dysnatremia, and hydration.ResultsTwo hundred sixty-six participants were enrolled, with 217 (82%) with complete sodium supplement rate data, 174 (80%) with finish line sodium, and 161 (74%) with both pre-race weights and total sodium ingestion allowing weight-based analysis. Sodium intake ranged from 131–533 mg/h/kg (2–7.2 gm), with no statistically significant impact on pace, race time, or quintile rank. These outcomes did not change when sodium intake was analyzed as a continuous variable or by sub-group analysis of the 109 (68%) normonatremic runners. When controlled for weight-adjusted sodium intake, performance was poorly correlated with hydration (r= − 0.152, 95% CI − 0.348–0.057). Dehydrated runners outperformed those overhydrated, with 11% of top 25th percentile finishers dehydrated (versus 2.8% overhydrated), with 3.6 min/km faster pace and time 4.6 h faster finishing time.ConclusionsNo association was found between sodium supplement intake and ultramarathon performance. Dehydrated runners were found to have the best performance. This reinforces the message to avoid overhydration.
Prophylactic perioperative cefuroxime levels in plasma and adipose tissue at the time of caesarean section (C-LACE): a protocol for a pilot experimental, prospective study with non-probability sampling to determine interpatient variability
Authors: Alrammaal Hanadi H. , Batchelor Hannah K. , Chong Hsu P. , Hodgetts Morton Victoria , Morris R. Katie 
Published: February 2021

Abstract
Background
The aim of the C-LACE study is to measure cefuroxime concentration in plasma and adipose tissue of non-obese and obese pregnant women undergoing caesarean section.

Methods
This study plans to compare maternal cefuroxime concentrations (plasma and adipose tissue), at the time of skin incision and time of skin closure during a caesarean section from non-obese (body mass index BMI < 30 kg/m2) and obese (BMI ≥ 30 kg/m2) pregnant women. The incidence of post-surgical site infection will also be measured. At least 15 participants are required for each arm (non-obese vs obese) with a total of 30 participants. The study participants will be followed up between 30 and 40 days post-caesarean section to record details of any post-caesarean surgical infection to explore correlations between BMI, measured cefuroxime concentrations and post-caesarean infection rates.

Discussion
This pilot study will allow the development of a model testing the inter-patient variability in plasma and adipose tissue concentrations of cefuroxime. The results will facilitate the development of a larger study to determine whether differences in cefuroxime plasma and tissue concentration in obese and non-obese women can support the development of a physiologically based pharmacokinetic model. This model can then be used to propose dosing adjustments that can be used in a further trial to optimise cefuroxime dosing for women undergoing caesarean section.

Trial registration
ISRCTN Registry, ISRCTN17527512. Registered on 26 October 2020
Proteolytic enzyme arbitrated antagonization of helminthiasis by Cinnamomum cappara leaf extract in Pheretima posthuma
Authors: Vadakkan Kayeen , Cheruvathur Meena K , Chulliparambil Anu S , Francis Famy , Abimannue Anu P 
Published: February 2021

Abstract
Background
There have been several studies carried out to irradiate Helminthiasis however very little research have been carried out where in the enzymatic activity of plants are exploited to antagonize infections. Here we are analyzing the anthelmintic activity of Cinnamomum cappara leaf extract against Pheretima posthuma complimented by proteolytic action.

Results
The fresh leaves of Cinnamomum cappara was collected from local areas of Thrissur during December 2019. Plants were identified and authenticated by morphological and molecular characterization. The enzymatic action was analyzed by plotting Lineweaver–Burk plot which suggested that the extract possess the Km 185.77 μM for casein as substrate and obeyed Michaelis–Menten kinetics with typical hyperbolic relation with enzyme and increasing concentration of substrate. The effect of extract upon study subject was in directly proportional with concentration of antagonist where higher activities were obtained in high concentrations. The anatomical and histological studies suggested that the activity of extract was due to the degradation of muscular bundle of subject that resulted in the leakage of ceolomic fluid.

Conclusions
Cinnamomum cappara leaf extract possessed high degree of protease intervened anthelmintic activity against Pheretima posthuma. As the study subject show immense morphological and physiological resemblance with all other helminthic parasites, this results shall be adopted to further clinical and pharmacological applications.
Neurologic manifestations of COVID-19 infection in Asia: a systematic review
Authors: Widyadharma I. Putu Eka , Hendellyn Alvin , Laksmi Dewi A. A. A. Putri , Adnyana I. Made Oka , Samatra D. P. G. Purwa , Utami Desak Ketut Indrasari 
Published: February 2021

AbstractBackgroundCOVID-19 infection can show various manifestation, including neurologic manifestations, such asanosmia,ageusia, ordysgeusia, and causes the neurologic disorder such as stroke, Guillain-Barre syndrome, encephalopathy, and many more.AimTo briefly review neurologic manifestation in COVID-19 infection in the Asia region (South East Asia and the Western Pacific Region).Material and methodsThis review uses the PRISMA statement and checklist. The source for reviewed article was performed in PubMed that were published between December 2019 to September 2020 with the latest 1 year of publication. Study titles were first screened, then reviewed by title and abstract and then the last review, we tested full text and applied eligibility criteria.ResultsWe found a total of 9 retrieved articles from the electronic database. Among these 9 articles, 5 of them are case report, 1 case series, 1 prospective multi-center cohort study, 1 retrospective multi-center study, and 1 retrospective observational study. All articles reported confirmed COVID-19, confirmation by positive swab test using the real-time RT-PCR method, with neurologic manifestations, disorder, or syndrome on presentation or found during hospital stay. In case of neurologic disorder or syndrome, the studies reported encephalitis and ADEM, acute cerebrovascular disease, acute symptomatic seizure, and Guillain-Barré syndrome with acute cerebrovascular disease as the most common neurologic disorder associated with COVID-19 infection, followed by encephalitis.ConclusionCOVID-19 also affects the brain, which may result in a global or focal neurologic manifestation. Healthcare provider treating patient with COVID-19 infection should also be aware of neurologic manifestation associated with COVID-19 infection to improve patient’s outcome.Guillain-Barre syndrome, encephalopathy, and many more. This review will briefly review neurologic manifestation in COVID-19 infection in the Asian region (South East Asia and the Western Pacific Region. A total of 9 retrieved articles from the electronic database reported confirmed COVID-19, confirmation by RT-PCR method, with neurologic manifestation, disorder, or syndrome on presentation or found during hospital stay. Healthcare provider treating patient with COVID-19 infection should also be aware of neurologic manifestation associated with COVID-19 infection to improve patient’s outcome.