bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative study of heat and mass transfer of generalized MHD Oldroyd-B bio-nano fluid in a permeable medium with ramped conditions
Authors: Wang Fuzhang , Rehman Sadique , Bouslimi Jamel , Khaliq Hammad , Qureshi Muhammad Imran , Kamran Muhammad , Alharbi Abdulaziz N. , Ahmad Hijaz , Farooq Aamir 
Published: December 2021

AbstractThis article aims to investigate the heat and mass transfer of MHD Oldroyd-B fluid with ramped conditions. The Oldroyd-B fluid is taken as a base fluid (Blood) with a suspension of gold nano-particles, to make the solution of non-Newtonian bio-magnetic nanofluid. The surface medium is taken porous. The well-known equation of Oldroyd-B nano-fluid of integer order derivative has been generalized to a non-integer order derivative. Three different types of definitions of fractional differential operators, like Caputo, Caputo-Fabrizio, Atangana-Baleanu (will be called later as $$C,CF,AB$$

C
,
C
F
,
A
B

) are used to develop the resulting fractional nano-fluid model. The solution for temperature, concentration, and velocity profiles is obtained via Laplace transform and for inverse two different numerical algorithms like Zakian’s, Stehfest’s are utilized. The solutions are also shown in tabular form. To see the physical meaning of various parameters like thermal Grashof number, Radiation factor, mass Grashof number, Schmidt number, Prandtl number etc. are explained graphically and theoretically. The velocity and temperature of nanofluid decrease with increasing the value of gold nanoparticles, while increase with increasing the value of both thermal Grashof number and mass Grashof number. The Prandtl number shows opposite behavior for both temperature and velocity field. It will decelerate both the profile. Also, a comparative analysis is also presented between ours and the existing findings.
FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales
Authors: Bergler Christian , Gebhard Alexander , Towers Jared R. , Butyrev Leonid , Sutton Gary J. , Shaw Tasli J. H. , Maier Andreas , Nöth Elmar 
Published: December 2021

AbstractBiometric identification techniques such as photo-identification require an array of unique natural markings to identify individuals. From 1975 to present, Bigg’s killer whales have been photo-identified along the west coast of North America, resulting in one of the largest and longest-running cetacean photo-identification datasets. However, data maintenance and analysis are extremely time and resource consuming. This study transfers the procedure of killer whale image identification into a fully automated, multi-stage, deep learning framework, entitled FIN-PRINT. It is composed of multiple sequentially ordered sub-components. FIN-PRINT is trained and evaluated on a dataset collected over an 8-year period (2011–2018) in the coastal waters off western North America, including 121,000 human-annotated identification images of Bigg’s killer whales. At first, object detection is performed to identify unique killer whale markings, resulting in 94.4% recall, 94.1% precision, and 93.4% mean-average-precision (mAP). Second, all previously identified natural killer whale markings are extracted. The third step introduces a data enhancement mechanism by filtering between valid and invalid markings from previous processing levels, achieving 92.8% recall, 97.5%, precision, and 95.2% accuracy. The fourth and final step involves multi-class individual recognition. When evaluated on the network test set, it achieved an accuracy of 92.5% with 97.2% top-3 unweighted accuracy (TUA) for the 100 most commonly photo-identified killer whales. Additionally, the method achieved an accuracy of 84.5% and a TUA of 92.9% when applied to the entire 2018 image collection of the 100 most common killer whales. The source code of FIN-PRINT can be adapted to other species and will be publicly available.
Decision aid and cost compensation influence uptake of PSA-based early detection without affecting decisional conflict: a cluster randomised trial
Authors: Tiedje Dorothee , Borowski Matthias , Simbrich Alexandra , Schlößler Kathrin , Kruse Klaus , Bothe Christiane , Kuss Katrin , Adarkwah Charles Christian , Maisel Peter , Jendyk Ralf , Kurosinski Marc-André , Gerß Joachim , Tschuschke Christian , Becker Ralf , Roobol Monique J. , Bangma Chris H. , Hense Hans-Werner , Donner-Banzhoff Norbert , Semjonow Axel 
Published: December 2021

AbstractInternational guidelines recommend to inform men about the benefits and harms of prostate specific antigen (PSA) based early detection of prostate cancer. This study investigates the influence of a transactional decision aid (DA) or cost compensation (CC) for a PSA test on the decisional behaviour of men. Prospective, cluster-randomised trial to compare two interventions in a 2 × 2 factorial design: DA versus counselling as usual, and CC versus noCC for PSA-testing. 90 cluster-randomised physicians in the administrative district of Muenster, Germany recruited 962 participants aged 55–69 yrs. in 2018. Primary endpoint: the influence of the DA and CC on the decisional conflict. Secondary endpoints: factors which altered the involvement of the men regarding their decision to take a PSA-test. The primary endpoint was analysed by a multivariate regression model. The choice to take the PSA test was increased by CC and reduced by the DA, the latter also reduced PSA uptake in men who were offered CC. The DA led to an increase of the median knowledge about early detection, changed willingness to perform a PSA test without increasing the level of shared decision, giving participants a stronger feeling of having made the decision by themselves. The DA did not alter the decisional conflict, as it was very low in all study groups. DA reduced and CC increased the PSA uptake. The DA seemed to have a greater impact on the participants than CC, as it led to fewer PSA tests even if CC was granted.Trial registration: German Clinical Trial Register (Deutsches Register Klinischer Studien DRKS00007687). Registered: 06/05/2015. https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00007687.
First-principles based simulations of electronic transmission in ReS2/WSe2 and ReS2/MoSe2 type-II vdW heterointerfaces
Authors: Saha Dipankar , Lodha Saurabh 
Published: December 2021

AbstractElectronic transmission in monolayer ReS$$_{2}$$

2

and ReS$$_{2}$$

2

based van der Waals (vdW) heterointerfaces are studied here. Since ReS$$_{2}$$

2

/WSe$$_{2}$$

2

and ReS$$_{2}$$

2

/MoSe$$_{2}$$

2

type-II vdW heterostructures are suitable for near infrared (NIR)/short-wave infrared (SWIR) photodetection, the role of interlayer coupling at the heterointerfaces is examined in this work. Besides, a detailed theoretical study is presented employing density functional theory (DFT) and nonequilibrium Green’s function (NEGF) combination to analyse the transmission spectra of the two-port devices with ReS$$_{2}$$

2

/WSe$$_{2}$$

2

and ReS$$_{2}$$

2

/MoSe$$_{2}$$

2

channels and compare the near-equilibrium conductance values. Single layer distorted 1T ReS$$_{2}$$

2

exhibits formation of parallel chains of ‘Re’-‘Re’ bonds, leading to in-plane anisotropy. Owing to this structural anisotropy, the charge carrier transport is very much orientation dependent in ReS$$_{2}$$

2

. Therefore, this work is further extended to investigate the role of clusterized ‘Re’ atoms in electronic transmission.
Efficacy and safety of medical cannabinoids in children: a systematic review and meta-analysis
Authors: Treves Nir , Mor Noa , Allegaert Karel , Bassalov Hely , Berkovitch Matitiahu , Stolar Orit E. , Matok Ilan 
Published: December 2021

AbstractDespite the increased use of medical cannabinoids, the efficacy and safety of the treatment among children remain uncertain. The objective was to study the efficacy and safety of medical cannabinoids in children. The search included studies through 11-May-2020. Selection criteria included studies evaluating efficacy and safety outcomes of medical cannabinoids (tetrahydrocannabinol, cannabidiol and other cannabis derivatives) versus control in children, independently assessed by two reviewers. Eight studies were included, all of which are randomized controlled trials. Cannabidiol is associated with 50% reduction in seizures rate (Relative Risk (RR) = 1.69, 95% CI [1.20–2.36]) and caregiver global impression of change (Median Estimated difference = (− 1), 95%CI [− 1.39–(− 0.60)]) in Dravet syndrome, compared to placebo. While cannabidiol was associated with a reduction in reported seizure events (RR = 0.59, 95% CI [0.36–0.97]), no association was found in products contained also tetrahydrocannabinol (RR = 1.35, 95% CI [0.46–4.03]). Higher dose of cannabidiol was associated with decreased appetite (RR = 2.40, 95% CI [1.39–4.15]). A qualitative assessment suggests that medical cannabinoids might be associated with adverse mental events. In conclusion, cannabidiol is associated with clinical improvement in Dravet syndrome. However, cannabidiol is also associated with decreased appetite. Adverse mental events were reported as well, however, more research should be performed to assess well this outcome.
Molecular determinants of response kinetics of mouse M1 intrinsically-photosensitive retinal ganglion cells
Authors: Sheng Yanghui , Chen Lujing , Ren Xiaozhi , Jiang Zheng , Yau King-Wai 
Published: December 2021

AbstractIntrinsically-photosensitive retinal ganglion cells (ipRGCs) are non-rod/non-cone retinal photoreceptors expressing the visual pigment, melanopsin, to detect ambient irradiance for various non-image-forming visual functions. The M1-subtype, amongst the best studied, mediates primarily circadian photoentrainment and pupillary light reflex. Their intrinsic light responses are more prolonged than those of rods and cones even at the single-photon level, in accordance with the typically slower time course of non-image-forming vision. The short (OPN4S) and long (OPN4L) alternatively-spliced forms of melanopsin proteins are both present in M1-ipRGCs, but their functional difference is unclear. We have examined this point by genetically removing the Opn4 gene (Opn4−/−) in mouse and re-expressing either OPN4S or OPN4L singly in Opn4−/− mice by using adeno-associated virus, but found no obvious difference in their intrinsic dim-flash responses. Previous studies have indicated that two dominant slow steps in M1-ipRGC phototransduction dictate these cells’ intrinsic dim-flash-response kinetics, with time constants (τ1 and τ2) at room temperature of ~ 2 s and ~ 20 s, respectively. Here we found that melanopsin inactivation by phosphorylation or by β-arrestins may not be one of these two steps, because their genetic disruptions did not prolong the two time constants or affect the response waveform. Disruption of GAP (GTPase-Activating-Protein) activity on the effector enzyme, PLCβ4, in M1-ipRGC phototransduction to slow down G-protein deactivation also did not prolong the response decay, but caused its rising phase to become slightly sigmoidal by giving rise to a third time constant, τ3, of ~ 2 s (room temperature). This last observation suggests that GAP-mediated G-protein deactivation does partake in the flash-response termination, although normally with a time constant too short to be visible in the response waveform.
Association between ambient air pollution and perceived stress in pregnant women
Authors: Lamichhane Dirga Kumar , Jung Dal-Young , Shin Yee-Jin , Lee Kyung-Sook , Lee So-Yeon , Ahn Kangmo , Kim Kyung Won , Shin Youn Ho , Suh Dong In , Hong Soo-Jong , Kim Hwan-Cheol 
Published: December 2021

AbstractAir pollution may influence prenatal maternal stress, but research evidence is scarce. Using data from a prospective cohort study conducted on pregnant women (n = 2153), we explored the association between air pollution and perceived stress, which was assessed using the 14-item Perceived Stress Scale (PSS), among pregnant women. Average exposures to particulate matter with an aerodynamic diameter of < 2.5 µm (PM2.5) or < 10 µm (PM10), nitrogen dioxide (NO2), and ozone (O3) for each trimester and the entire pregnancy were estimated at maternal residential addresses using land-use regression models. Linear regression models were applied to estimate associations between PSS scores and exposures to each air pollutant. After adjustment for potential confounders, interquartile-range (IQR) increases in whole pregnancy exposures to PM2.5, PM10, and O3in the third trimester were associated with 0.37 (95% confidence interval [CI] 0.01, 0.74), 0.54 (95% CI 0.11, 0.97), and 0.30 (95% CI 0.07, 0.54) point increases in prenatal PSS scores, respectively. Furthermore, these associations were more evident in women with child-bearing age and a lower level of education. Also, the association between PSS scores and PM10was stronger in the spring. Our findings support the relationship between air pollution and prenatal maternal stress.
Flavivirus infections induce a Golgi stress response in vertebrate and mosquito cells
Authors: Viettri Mercedes , Zambrano José L. , Rosales Romel , Caraballo Gerson I. , Gutiérrez-Escolano Ana Lorena , Ludert Juan E. 
Published: December 2021

AbstractThe stress of the Golgi apparatus is an autoregulatory mechanism that is induced to compensate for greater demand in the Golgi functions. No examples of Golgi stress responses due to physiological stimuli are known. Furthermore, the impact on this organelle of viral infections that occupy the vesicular transport during replication is unknown. In this work, we evaluated if a Golgi stress response is triggered during dengue and Zika viruses replication, two flaviviruses whose replicative cycle is heavily involved with the Golgi complex, in vertebrate and mosquito cells. Using GM-130 as a Golgi marker, and treatment with monensin as a positive control for the induction of the Golgi stress response, a significant expansion of the Golgi cisternae was observed in BHK-21, Vero E6 and mosquito cells infected with either virus. Activation of the TFE3 pathway was observed in the infected cells as indicated by the translocation from the cytoplasm to the nucleus of TFE3 and increased expression of pathway targeted genes. Of note, no sign of activation of the stress response was observed in CRFK cells infected with Feline Calicivirus (FCV), a virus released by cell lysis, not requiring vesicular transport. Finally, dilatation of the Golgi complex and translocation of TFE3 was observed in vertebrate cells expressing dengue and Zika viruses NS1, but not NS3. These results indicated that infections by dengue and Zika viruses induce a Golgi stress response in vertebrate and mosquito cells due to the increased demand on the Golgi complex imposed by virion and NS1 processing and secretion.
Alpha-to-beta- and gamma-band activity reflect predictive coding in affective visual processing
Authors: Strube Andreas , Rose Michael , Fazeli Sepideh , Büchel Christian 
Published: December 2021

AbstractProcessing of negative affective pictures typically leads to desynchronization of alpha-to-beta frequencies (ERD) and synchronization of gamma frequencies (ERS). Given that in predictive coding higher frequencies have been associated with prediction errors, while lower frequencies have been linked to expectations, we tested the hypothesis that alpha-to-beta ERD and gamma ERS induced by aversive pictures are associated with expectations and prediction errors, respectively. We recorded EEG while volunteers were involved in a probabilistically cued affective picture task using three different negative valences to produce expectations and prediction errors. Our data show that alpha-to-beta band activity after stimulus presentation was related to the expected valence of the stimulus as predicted by a cue. The absolute mismatch of the expected and actual valence, which denotes an absolute prediction error was related to increases in alpha, beta and gamma band activity. This demonstrates that top-down predictions and bottom-up prediction errors are represented in typical spectral patterns associated with affective picture processing. This study provides direct experimental evidence that negative affective picture processing can be described by neuronal predictive coding computations.
A cross-sectional study of the health status of Swiss primary care physicians
Authors: Sebo Paul , Favrod-Coune Thierry , Mahler Liv , Moussa Amir , Cohidon Christine , Broers Barbara 
Published: December 2021

AbstractThere is limited data on the general health of primary care physicians (PCPs). We aimed to assess the physical and psychological health of Swiss PCPs. We selected a random sample of 1000 PCPs in Western Switzerland. They were asked about their self-rated health status, all medical conditions experienced in the past five years, and the number of days they were hospitalized and off work in 2019. They were also asked whether they had their own general practitioner (GP) and seen a psychiatrist/psychologist in the past 12 months. A total of 503 PCPs were included in the study (women = 51%, GPs = 67%, pediatricians = 19%, gynecologists = 14%). Ninety-four percent considered themselves in good or very good health. In the past five years, PCPs suffered mostly from depression/anxiety (21%), burnout (21%), dyslipidemia (19%) and hypertension (17%). Male and older PCPs had more often cardiovascular disorders, younger PCPs and GPs had more often psychiatric disorders. They were 9% to have been hospitalized (15% for PCPs over 60) and 20% to have been off work (32% for PCPs under 45). Only 47% had their own GP (37% for GPs). They were 16% (mostly female and younger PCPs) to have consulted a psychiatrist/psychologist. In conclusion, although PCPs considered themselves to be in good health, a substantial proportion suffered from a medical condition, mainly psychiatric (depression or burnout) and/or cardiovascular disorders, or were recently hospitalized or off work. Only half had a GP for themselves. These results may be useful for implementing specific health strategies targeting PCPs.
Machine learning application to predict in-situ stresses from logging data
Authors: Ibrahim Ahmed Farid , Gowida Ahmed , Ali Abdulwahab , Elkatatny Salaheldin 
Published: December 2021

AbstractDetermination of in-situ stresses is essential for subsurface planning and modeling, such as horizontal well planning and hydraulic fracture design. In-situ stresses consist of overburden stress (σv), minimum (σh), and maximum (σH) horizontal stresses. The σhand σHare difficult to determine, whereas the overburden stress can be determined directly from the density logs. The σhand σHcan be estimated either from borehole injection tests or theoretical finite elements methods. However, these methods are complex, expensive, or need unavailable tectonic stress data. This study aims to apply different machine learning (ML) techniques, specifically, random forest (RF), functional network (FN), and adaptive neuro-fuzzy inference system (ANFIS), to predict the σhand σHusing well-log data. The logging data includes gamma-ray (GR) log, formation bulk density (RHOB) log, compressional (DTC), and shear (DTS) wave transit-time log. A dataset of 2307 points from two wells (Well-1 and Well-2) was used to build the different ML models. The Well-1 data was used in training and testing the models, and the Well-2 data was used to validate the developed models. The obtained results show the capability of the three ML models to predict accurately the σh and σH using the well-log data. Comparing the results of RF, ANFIS, and FN models for minimum horizontal stress prediction showed that ANFIS outperforms the other two models with a correlation coefficient (R) for the validation dataset of 0.96 compared to 0.91 and 0.88 for RF, and FN, respectively. The three models showed similar results for predicting maximum horizontal stress with R values higher than 0.98 and an average absolute percentage error (AAPE) less than 0.3%. a20index for the actual versus the predicted data showed that the three ML techniques were able to predict the horizontal stresses with a deviation less than 20% from the actual data. For the validation dataset, the RF, ANFIS, and FN models were able to capture all changes in the σhand σHtrends with depth and accurately predict the σhand σHvalues. The outcomes of this study confirm the robust capability of ML to predict σhand σHfrom readily available logging data with no need for additional costs or site investigation.
Post-traumatic peripheral vestibular disorders (excluding positional vertigo) in workers following head injury
Authors: Misale Priyanka , Hassannia Fatemeh , Dabiri Sasan , Brandstaetter Tom , Rutka John 
Published: December 2021

AbstractBenign paroxysmal positional vertigo has typically been reported to be the most common cause of post-traumatic dizziness. There is however paucity in the literature about other peripheral vestibular disorders post-head injury. This article provides an overview of other causes of non-positional dizziness post-head trauma from our large institutional experience. The UHN WSIB Neurotology database (n = 4291) between 1998 and 2018 was retrospectively studied for those head-injured workers presenting with non-positional peripheral vestibular disorders. All subjects had a detailed neurotological history and examination and vestibular testing including video nystagmography, video head impulse testing (or a magnetic scleral search coil study), vestibular-evoked myogenic potentials, and audiometry. Imaging studies included routine brain and high-resolution temporal bone CT scans and/or brain MRI. Based on a database of 4291 head-injured workers with dizziness, 244 were diagnosed with non-positional peripheral vertigo. Recurrent vestibulopathy (RV) was the most common cause of non-positional post-traumatic vertigo. The incidence of Meniere’s disease in the post-traumatic setting did not appear greater than found in the general population. The clinical spectrum pertaining to recurrent vestibulopathy, Meniere’s disease, delayed endolymphatic hydrops, drop attacks, superior semicircular canal dehiscence syndrome, and uncompensated peripheral vestibular loss are discussed.
Establishment of a miRNA profile in paediatric HIV-1 patients and its potential as a biomarker for effectiveness of the combined antiretroviral therapy
Authors: Consuegra Irene , Gasco Samanta , Serramía María Jesús , Jiménez José Luis , Mellado Maria Jose , Muñoz-Fernández María Ángeles 
Published: December 2021

AbstractmiRNAs have been extensively studied in pathological conditions, including viral infections, such as those provoked by HIV-1. Several cellular and circulating miRNAs are altered during HIV-1 infection, with either beneficial effects on host defenses or enhanced virus infectivity. Blood samples were collected in sterile EDTA tubes and plasma was separated and stored, as were PBMCs. RNA was isolated and reverse-transcribed. Finally, the miRNA gene expression profile was assessed using TaqMan Array Human microRNA Card A v2.0. A comprehensive statistical analysis was performed on the results obtained. This is the first study on miRNAs in HIV-1 paediatric patients, and a miRNA profile differentiating patients starting combination antiretroviral therapy (cART) at different times after HIV-1 diagnosis was established. Thirty-four miRNAs were observed to have different expression levels between the control group and the cART group. The data indicates the need to start cART as soon as possible after the establishment of HIV-1 infection to assure the best outcome possible. Finally, the selected 34 miRNAs may be used as biomarkers for prognosis and assessing therapy effectiveness. However, more research must be conducted to establish adequate quantitative correlations.