bluuebunny/crossref_metadata_2025_split huggingface dataset:
Network inference from population-level observation of epidemics
Authors: Di Lauro F. , Croix J.-C. , Dashti M. , Berthouze L. , Kiss I. Z. 
Published: November 2020

AbstractUsing the continuous-time susceptible-infected-susceptible (SIS) model on networks, we investigate the problem of inferring the class of the underlying network when epidemic data is only available at population-level (i.e., the number of infected individuals at a finite set of discrete times of a single realisation of the epidemic), the only information likely to be available in real world settings. To tackle this, epidemics on networks are approximated by a Birth-and-Death process which keeps track of the number of infected nodes at population level. The rates of this surrogate model encode both the structure of the underlying network and disease dynamics. We use extensive simulations over Regular, Erdős–Rényi and Barabási–Albert networks to build network class-specific priors for these rates. We then use Bayesian model selection to recover the most likely underlying network class, based only on a single realisation of the epidemic. We show that the proposed methodology yields good results on both synthetic and real-world networks.
Infection of dogs by Leishmania infantum elicits a general response of IgG subclasses
Authors: Olías-Molero A. I. , Moreno I. , Corral M. J. , Jiménez-Antón M. D. , Day M. J. , Domínguez M. , Alunda J. M. 
Published: November 2020

AbstractLeishmania infantum is the etiological agent of zoonotic visceral leishmaniasis. In endemic areas, canine infections are considered the main source of infection for human populations. Therefore, any control of human leishmaniasis must include the control of canine infections. Chemotherapy of leishmaniasis is inadequate and canine immunoprophylaxis has important limitations. Reports on the response of infected dogs are abundant but no clear picture of immune events has emerged. To shed some light on these shortcomings the specific IgG subclass response was followed in 20 Beagle dogs experimentally infected with L. infantum using monoclonal antibodies (MAb) specific for canine IgG1, IgG2, IgG3 and IgG4, along with ELISA and flow cytometry. Results showed that parasitic infection elicits a general response of all IgG subclasses, with a predominant IgG1 response and without any evidence of IgG1/IgG2 dichotomy. These findings suggest that the inconsistent results reported previously could be related to the lack of specific reagents and not to the actual differences in the immune response of infected animals. Differential IgG subclass reactivity in ELISA and cytometry and the analysis of the reacting antigens could facilitate the diagnosis and prognosis of the disease and provide a useful tool for adequate therapeutics and vaccine development against leishmaniasis.
Prediction of amyloid β PET positivity using machine learning in patients with suspected cerebral amyloid angiopathy markers
Authors: Jung Young Hee , Lee Hyejoo , Kim Hee Jin , Na Duk L. , Han Hyun Jeong , Jang Hyemin , Seo Sang Won 
Published: November 2020

AbstractAmyloid-β(Aβ) PET positivity in patients with suspected cerebral amyloid angiopathy (CAA) MRI markers is predictive of a worse cognitive trajectory, and it provides insights into the underlying vascular pathology (CAA vs. hypertensive angiopathy) to facilitate prognostic prediction and appropriate treatment decisions. In this study, we applied two interpretable machine learning algorithms, gradient boosting machine (GBM) and random forest (RF), to predict Aβ PET positivity in patients with CAA MRI markers. In the GBM algorithm, the number of lobar cerebral microbleeds (CMBs), deep CMBs, lacunes, CMBs in dentate nuclei, and age were ranked as the most influential to predict Aβ positivity. In the RF algorithm, the absence of diabetes was additionally chosen. Cut-off values of the above variables predictive of Aβ positivity were as follows: (1) the number of lobar CMBs > 16.4(GBM)/14.3(RF), (2) no deep CMBs(GBM/RF), (3) the number of lacunes > 7.4(GBM/RF), (4) age > 74.3(GBM)/64(RF), (5) no CMBs in dentate nucleus(GBM/RF). The classification performances based on the area under the receiver operating characteristic curve were 0.83 in GBM and 0.80 in RF. Our study demonstrates the utility of interpretable machine learning in the clinical setting by quantifying the relative importance and cutoff values of predictive variables for Aβ positivity in patients with suspected CAA markers.
Operando direct observation of spin-states and charge-trappings of blue light-emitting-diode materials in thin-film devices
Authors: Osawa Fumiya , Marumoto Kazuhiro 
Published: November 2020

AbstractSpin-states and charge-trappings in blue organic light-emitting diodes (OLEDs) are important issues for developing high-device-performance application such as full-color displays and white illumination. However, they have not yet been completely clarified because of the lack of a study from a microscopic viewpoint. Here, we report operando electron spin resonance (ESR) spectroscopy to investigate the spin-states and charge-trappings in organic semiconductor materials used for blue OLEDs such as a blue light-emitting material 1-bis(2-naphthyl)anthracene (ADN) using metal–insulator–semiconductor (MIS) diodes, hole or electron only devices, and blue OLEDs from the microscopic viewpoint. We have clarified spin-states of electrically accumulated holes and electrons and their charge-trappings in the MIS diodes at the molecular level by directly observing their electrically-induced ESR signals; the spin-states are well reproduced by density functional theory. In contrast to a green light-emitting material, the ADN radical anions largely accumulate in the film, which will cause the large degradation of the molecule and devices. The result will give deeper understanding of blue OLEDs and be useful for developing high-performance and durable devices.
Design of an ELC resonator-based reusable RF microfluidic sensor for blood glucose estimation
Authors: Govind Greeshmaja , Akhtar M. Jaleel 
Published: November 2020

AbstractDesign of a reusable microfluidic sensor for blood glucose estimation at microwave frequencies is presented. The sensing unit primarily comprises a complementary electric LC (CELC) resonator, which is made reusable by filling the test sample in a glass capillary before mounting it inside a groove cut in the central arm of the resonator. The use of glass capillary in the present situation to contain the blood sample actually eliminates the possibility of any direct contact of the sensor with the test sample, and hence wards off any coincidental contamination of the sensor. Usage of the capillary provides additional benefits as only microliters of the sample are required, besides offering sterile measuring environment since these capillaries are disposable. The capillary made of borosilicate glass is highly biocompatible and exhibits exceptionally high chemical resistance in corrosive environments. Apart from reusability, the novelty of the proposed sensor also lies in its enhanced sensitivity which is quite an essential factor when it comes to the measurement of glucose concentration in the human physiological range. The applicability of the proposed scheme for glucose sensing is demonstrated by performing RF measurements of aqueous glucose solutions and goat blood samples using the fabricated sensor.
Expression of a novel brain specific isoform of C3G is regulated during development
Authors: Sriram Divya , Chintala Ramulu , Parthasaradhi B. V. V. , Nayak Sanjeev Chavan , Mariappan Indumathi , Radha Vegesna 
Published: November 2020

AbstractMice lacking C3G (RapGEF1), a ubiquitously expressed protein essential for neuronal differentiation, show multiple defects in brain development. Function of C3G in neurogenesis is poorly defined. Here, we identify brain specific expression of a novel C3G isoform in mice and humans. This isoform has an insert in the Crk-binding region, generating a polypeptide of 175 kDa, unlike the previously known 140 kDa form expressed in all other tissues. In the adult mouse brain, C3G expression is seen in neurons, but was not detectable in GFAP-positive cells. C3G levels were high in the CA3 region of hippocampus and in mitral cells of olfactory bulb. Neural progenitor cells positive for Doublecortin and Nestin, show expression of C3G. During development, C3G is expressed in precursor cells prior to their differentiation into mature neurons or astrocytes. The 175 kDa as well as 140 kDa forms are seen in embryonic mouse brain, while only the 175 kDa variant is seen in post-natal brain. Human cerebral organoids generated from induced pluripotent stem cells predominantly expressed the 140 kDa polypeptides, and the 175 kDa isoform appeared upon maturation. This study describes developmental regulation and neuronal expression of a brain specific isoform of C3G, a molecule essential for normal development of the mammalian brain.
A Bayesian Belief Network model to link sanitary inspection data to drinking water quality in a medium resource setting in rural Indonesia
Authors: Daniel D. , Iswarani Widya Prihesti , Pande Saket , Rietveld Luuk 
Published: November 2020

AbstractAssessing water quality and identifying the potential source of contamination, by Sanitary inspections (SI), are essential to improve household drinking water quality. However, no study link the water quality at a point of use (POU), household level or point of collection (POC), and associated SI data in a medium resource setting using a Bayesian Belief Network (BBN) model. We collected water samples and applied an adapted SI at 328 POU and 265 related POC from a rural area in East Sumba, Indonesia. Fecal contamination was detected in 24.4 and 17.7% of 1 ml POC and POU samples, respectively. The BBN model showed that the effect of holistic—combined interventions to improve the water quality were larger compared to individual intervention. The water quality at the POU was strongly related to the water quality at the POC and the effect of household water treatment to improve the water quality was more prominent in the context of better sanitation and hygiene conditions. In addition, it was concluded that the inclusion of extra “external” variable (fullness level of water at storage), besides the standard SI variables, could improve the model’s performance in predicting the water quality at POU. Finally, the BBN approach proved to be able to illustrate the interdependencies between variables and to simulate the effect of the individual and combination of variables on the water quality.
Toxoplasma gondii and multiple sclerosis: a population-based case–control study
Authors: Nicoletti Alessandra , Cicero Calogero Edoardo , Giuliano Loretta , Todaro Valeria , Lo Fermo Salvatore , Chisari Clara , D’Amico Emanuele , Paradisi Vincenza , Mantella Antonia , Bartoloni Alessandro , Sofia Vito , Patti Francesco , Zappia Mario 
Published: November 2020

AbstractAccording to the hygiene hypothesis, parasites could have a protective role in the development of Multiple Sclerosis (MS). Our aim was to assess the association between presence of anti-Toxoplasma gondii antibodies and MS. MS patients were randomly selected from a population-based incident cohort of MS patients in the city of Catania. Age and sex-matched controls were randomly selected from the general population. Clinical and sociodemographic variables were recorded with a structured questionnaire and a blood sample was taken for serological analysis. Specific T. gondii IgG have been detected with a commercial kit. Adjusted Odds Ratios (ORs) were estimated using unconditional logistic regression. 129 MS subjects (66.7% women with a mean age 44.7 ± 11.0 years) and 287 controls (67.3% women with a mean age 48.1 ± 15.6 years) have been enrolled in the study. Anti-T. gondii antibodies were found in 38 cases (29.5%) and 130 controls (45.4%) giving an adjusted OR of 0.56 (95%CI 0.34–0.93). History of mononucleosis and high educational level were significantly associated with MS (adjOR 2.22 and 1.70 respectively) while an inverse association was found between high educational level and T. gondii seropositivity (adjOR 0.42). Our results further support the protective role of parasitic infections in MS.
Twist2 is NFkB-responsive when p120-catenin is inactivated and EGFR is overexpressed in esophageal keratinocytes
Authors: Lehman Heather L. , Kidacki Michal , Stairs Douglas B. 
Published: November 2020

AbstractEsophageal squamous cell carcinoma (ESCC) is among the most aggressive and fatal cancer types. ESCC classically progresses rapidly and frequently causes mortality in four out of five patients within two years of diagnosis. Yet, little is known about the mechanisms that make ESCC so aggressive. In a previous study we demonstrated that p120-catenin (p120ctn) and EGFR, two genes associated with poor prognosis in ESCC, work together to cause invasion. Specifically, inactivation of p120ctn combined with overexpression of EGFR induces a signaling cascade that leads to hyperactivation of NFkB and a resultant aggressive cell type. The purpose of this present study was to identify targets that are responsive to NFkB when p120ctn and EGFR are modified. Using human esophageal keratinocytes, we have identified Twist2 as an NFkB-responsive gene. Interestingly, we found that when NFkB is hyperactivated in cells with EGFR overexpression and p120ctn inactivation, Twist2 is significantly upregulated. Inhibition of NFkB activity results in nearly complete loss of Twist2 expression, suggesting that this potential EMT-inducing gene, is a responsive target of NFkB. There exists a paucity of research on Twist2 in any cancer type; as such, these findings are important in ESCC as well as in other cancer types.
Use of machine learning to classify adult ADHD and other conditions based on the Conners’ Adult ADHD Rating Scales
Authors: Christiansen Hanna , Chavanon Mira-Lynn , Hirsch Oliver , Schmidt Martin H. , Meyer Christian , Müller Astrid , Rumpf Hans-Juergen , Grigorev Ilya , Hoffmann Alexander 
Published: November 2020

AbstractA reliable diagnosis of adult Attention Deficit/Hyperactivity Disorder (ADHD) is challenging as many of the symptoms of ADHD resemble symptoms of other disorders. ADHD is associated with gambling disorder and obesity, showing overlaps of about 20% with each diagnosis. It is important for clinical practice to differentiate between conditions displaying similar symptoms via established diagnostic instruments. Applying the LightGBM algorithm in machine learning, we were able to differentiate subjects with ADHD, obesity, problematic gambling, and a control group using all 26 items of the Conners’ Adult ADHD Rating Scales (CAARS-S: S) with a global accuracy of .80; precision (positive predictive value) ranged between .78 (gambling) and .92 (obesity), recall (sensitivity) between .58 for obesity and .87 for ADHD. Models with the best 5 and best 10 items resulted in less satisfactory fits. The CAARS-S seems to be a promising instrument to be applied in clinical practice also for multiclassifying disorders displaying symptoms resembling ADHD.
Real-time detection of somatic hybrid cells during electrofusion of carrot protoplasts with stably labelled mitochondria
Authors: Gieniec Miron , Siwek Julianna , Oleszkiewicz Tomasz , Maćkowska Katarzyna , Klimek-Chodacka Magdalena , Grzebelus Ewa , Baranski Rafal 
Published: November 2020

AbstractSomatic hybridisation in the carrot, as in other plant species, enables the development of novel plants with unique characteristics. This process can be induced by the application of electric current to isolated protoplasts, but such electrofusion requires an effective hybrid cell identification method. This paper describes the non-toxic fluorescent protein (FP) tagging of protoplasts which allows discrimination of fusion components and identification of hybrids in real-time during electrofusion. One of four FPs: cyan (eCFP), green (sGFP), yellow (eYFP) or the mCherry variant of red FP (RFP), with a fused mitochondrial targeting sequence, was introduced to carrot cell lines of three varieties usingAgrobacterium-mediated transformation. After selection, a set of carrot callus lines with either GFP, YFP or RFP-labelled mitochondria that showed stable fluorescence served as protoplast sources. Various combinations of direct current (DC) parameters on protoplast integrity and their ability to form hybrid cells were assessed during electrofusion. The protoplast response and hybrid cell formation depended on DC voltage and pulse time, and varied among protoplast sources. Heterofusants (GFP + RFP or YFP + RFP) were identified by detection of a dual-colour fluorescence. This approach enabled, for the first time, a comprehensive assessment of the carrot protoplast response to the applied electric field conditions as well as identification of the DC parameters suitable for hybrid formation, and an estimation of the electrofusion success rate by performing real-time observations of protoplast fluorescence.
Boosting carrier mobility and stability in indium–zinc–tin oxide thin-film transistors through controlled crystallization
Authors: On Nuri , Kim Bo Kyoung , Kim Yerin , Kim Eun Hyun , Lim Jun Hyung , Hosono Hideo , Kim Junghwan , Yang Hoichang , Jeong Jae Kyeong 
Published: November 2020

AbstractWe investigated the effect of film thickness (geometrical confinement) on the structural evolution of sputtered indium-zinc-tin oxide (IZTO) films as high mobility n-channel semiconducting layers during post-treatment at different annealing temperatures ranging from 350 to 700 °C. Different thicknesses result in IZTO films containing versatile phases, such as amorphous, low-, and high-crystalline structures even after annealing at 700 °C. A 19-nm-thick IZTO film clearly showed a phase transformation from initially amorphous to polycrystalline bixbyite structures, while the ultra-thin film (5 nm) still maintained an amorphous phase. Transistors including amorphous and low crystalline IZTO films fabricated at 350 and 700 °C show reasonable carrier mobility (µFE) and on/off current ratio (ION/OFF) values of 22.4–35.9 cm2 V−1 s−1 and 1.0–4.0 × 108, respectively. However, their device instabilities against positive/negative gate bias stresses (PBS/NBS) are unacceptable, originating from unsaturated bonding and disordered sites in the metal oxide films. In contrast, the 19-nm-thick annealed IZTO films included highly-crystalline, 2D spherulitic crystallites and fewer grain boundaries. These films show the highest µFE value of 39.2 cm2 V−1 s−1 in the transistor as well as an excellent ION/OFF value of 9.7 × 108. Simultaneously, the PBS/NBS stability of the resulting transistor is significantly improved under the same stress condition. This promising superior performance is attributed to the crystallization-induced lattice ordering, as determined by highly-crystalline structures and the associated formation of discrete donor levels (~ 0.31 eV) below the conduction band edge.
Medication use and obesity in Brazil: results from the National Health Survey
Authors: Rimes-Dias Karina Abibi , Canella Daniela Silva 
Published: November 2020

AbstractNoncommunicable diseases (NCDs) associated with obesity generally require drug treatment. The use of medications in individuals with obesity has not been extensively investigated. The objective of this study was to analyze the relation between obesity and medication use. Data from the Brazilian National Health Survey 2013 was used, including 59,402 individuals. Weight and height measures were used to calculate body mass index (BMI) and categorized individuals according to BMI classification (exposure). The number of medications used for treating nine obesity-related NCDs was the outcome variable. Multinomial regression analyses were performed. The risk of use of medications to treat at least one NCD increased progressively with rising BMI, where this risk was even higher for treating two or more diseases. The risk of having to treat two or more NCDs with medications was approximately 70% greater among individuals with overweight (adjusted RR = 1.66; 95%CI 1.46–1.89), 170% greater in those with class I obesity (adjusted RR = 2.68; 95%CI 2.29–3.12), 340% greater for class II obesity (adjusted RR = 4.44; 95%CI 3.54–5.56) and 450% greater among individuals with class III obesity (adjusted RR = 5.53; 95%CI 3.81–8.02), compared with normal-weight subjects. Obesity was directly associated with drug utilization and the number of medications used to treat obesity-related NCDs.
Whole genome integrity and enhanced developmental potential in ram freeze-dried spermatozoa at mild sub-zero temperature
Authors: Palazzese Luca , Anzalone Debora Agata , Turri Federica , Faieta Marco , Donnadio Anna , Pizzi Flavia , Pittia Paola , Matsukawa Kazutsugu , Loi Pasqualino 
Published: November 2020

AbstractFreeze-dried spermatozoa typically shows a reduction in fertility primarily due to the DNA damage resulting from the sublimation process. In order to minimize the physical/mechanical damage resulting from lyophilization, here we focused on the freezing phase, comparing two cooling protocols: (i) rapid-freezing, where ram sperm sample is directly plunged into liquid nitrogen (LN-group), as currently done; (ii) slow-freezing, where the sample is progressively cooled to − 50 °C (SF-group). The spermatozoa dried in both conditions were analysed to assess residual water content by Thermal Gravimetric Analysis (TGA) and DNA integrity using Sperm Chromatin Structure Assay (SCSA). TGA revealed more than 90% of water subtraction in both groups. A minor DNA damage, Double-Strand Break (DSB) in particular, characterized by a lower degree of abnormal chromatin structure (Alpha-T), was detected in the SF-group, comparing to the LN-one. In accordance with the structural and DNA integrity data, spermatozoa from SF-group had the best embryonic development rates, comparing to LN-group: cleaved embryos [42/100 (42%) versus 19/75 (25.3%), P < 0.05, SL and LN respectively] and blastocyst formation [7/100 (7%) versus 2/75 (2.7%), P < 0.05, SF and LN respectively]. This data represents a significant technological advancement for the development of lyophilization as a valuable and cheaper alternative to deep-freezing in LN for ram semen.
Significant stream chemistry response to temperature variations in a high-elevation mountain watershed
Authors: Zhi Wei , Williams Kenneth H. , Carroll Rosemary W. H. , Brown Wendy , Dong Wenming , Kerins Devon , Li Li 
Published: November 2020

AbstractHigh-elevation mountain regions, central to global freshwater supply, are experiencing more rapid warming than low-elevation locations. High-elevation streams are therefore potentially critical indicators for earth system and water chemistry response to warming. Here we present concerted hydroclimatic and biogeochemical data from Coal Creek, Colorado in the central Rocky Mountains at elevations of 2700 to 3700 m, where air temperatures have increased by about 2 °C since 1980. We analyzed water chemistry every other day from 2016 to 2019. Water chemistry data indicate distinct responses of different solutes to inter-annual hydroclimatic variations. Specifically, the concentrations of solutes from rock weathering are stable inter-annually. Solutes that are active in soils, including dissolved organic carbon, vary dramatically, with double to triple peak concentrations occurring during snowmelt and in warm years. We advocate for consistent and persistent monitoring of high elevation streams to record early glimpse of earth surface response to warming.
Al2O3-Coated Ni/CeO2 nanoparticles as coke-resistant catalyst for dry reforming of methane
Authors: Yang Euiseob , Nam Eonu , Lee Jihyeon , Lee Hojeong , Park Eun Duck , Lim Hankwon , An Kwangjin 
Published: November 2020

To mitigate catalyst deactivation during the dry reforming of methane, Ni/CeO2 catalysts composed of monodisperse Ni nanoparticles supported on CeO2 nanorods are designed and coated with Al2O3 layers by atomic layer deposition.