bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy of salt reduction for managing overactive bladder symptoms: a prospective study in patients with excessive daily salt intake
Authors: Matsuo Tomohiro , Miyata Yasuyoshi , Otsubo Asato , Mukae Yuta , Mitsunari Kensuke , Ohba Kojiro , Sakai Hideki 
Published: February 2021

AbstractThis study aimed to investigate the efficacy of salt intake restriction on overactive bladder (OAB) symptoms in patients with excessive salt intake. Patients received a brochure on nutritional guidance regarding salt intake reduction and received health education every 4 weeks for 12 weeks. Data from overactive bladder symptom score (OABSS) questionnaires and frequency volume charts (FVCs) were evaluated. The daily salt intake was estimated by determining the urinary sodium and creatinine concentrations using spot urine samples. Of the 98 patients included, 71 (72.4%) successfully restricted their daily salt intake after 12 weeks (salt restricted [R] group), while 27 (27.6%) did not (salt non-restricted [N-R] group). The scores to each OABSS question and the resulting total score improved significantly in the R group; however, the individual scores remained unchanged and the total score increased in the N-R group. The FVC data indicated improved voided volumes in the R group as compared to in the N-R group. Ultimately, 17 (23.9%) patients in the R group no longer fulfilled the OAB diagnostic criteria after salt intake reduction. Thus, salt intake reduction improved urinary symptoms in patients with OAB and may be a therapeutic option for OAB in patients with excessive daily salt intakes.
New technology to improve the thermal stability of botulinum toxin type D by biomimetic mineralization
Authors: Li Shengqing , Zhang Xiyun , Hu Guoyuan , Li Shuping , Li Zhining , Fan Yuxia , Zhang Yanming 
Published: February 2021

AbstractThe advanced biomimetic mineralization technology was applied to protect the Botulinum neurotoxin type D, and the processing of the mineralization granule of botulinum toxin type D was successfully screened. The loss of activity of the toxin protein at different temperatures and the destructive strength of the gastrointestinal tract against the toxin were determined biologically. The lethal toxicity of the mineralized toxin to wild rodents was determined by median lethal dose. Protective tests at different temperatures showed that the preservation period of botulinum toxin type D mineralized sample 2 was significantly higher than that of the control group at three different temperatures, and its toxicity loss was significantly reduced. The damage intensity of the mineralized toxin to the gastrointestinal contents of plateau zokor and plateau pika was significantly reduced. The minimum lethal doses of the mineralized toxin particles to plateau zokor, plateau pika, and mice were 5200, 8,600,000, and 25,000 MLD/kg. These results showed that biomimetic mineralization could greatly improve the thermal stability of botulinum toxin type D and reduce the damaging effect of the gastrointestinal contents of target animals to botulinum toxin type D. The mineralized toxin could be used to control the population density of urban rodents. This research provides new insights into the protection of toxin protein substances.
Interrupted time series study found mixed effects of the impact of the Bavarian smoke-free legislation on pregnancy outcomes
Authors: Polus Stephanie , Burns Jacob , Hoffmann Sabine , Mathes Tim , Mansmann Ulrich , Been Jasper V. , Lack Nicholas , Koller Daniela , Maier Werner , Rehfuess Eva A. 
Published: February 2021

AbstractIn 2007 the German government passed smoke-free legislation, leaving the details of implementation to the individual federal states. In January 2008 Bavaria implemented one of the strictest laws in Germany. We investigated its impact on pregnancy outcomes and applied an interrupted time series (ITS) study design to assess any changes in preterm birth, small for gestational age (primary outcomes), and low birth weight, stillbirth and very preterm birth. We included 1,236,992 singleton births, comprising 83,691 preterm births and 112,143 small for gestational age newborns. For most outcomes we observed unclear effects. For very preterm births, we found an immediate drop of 10.4% (95%CI − 15.8, − 4.6%; p = 0.0006) and a gradual decrease of 0.5% (95%CI − 0.7, − 0.2%, p = 0.0010) after implementation of the legislation. The majority of subgroup and sensitivity analyses confirm these results. Although we found no statistically significant effect of the Bavarian smoke-free legislation on most pregnancy outcomes, a substantial decrease in very preterm births was observed. We cannot rule out that despite our rigorous methods and robustness checks, design-inherent limitations of the ITS study as well as country-specific factors, such as the ambivalent German policy context have influenced our estimation of the effects of the legislation.
Functional analysis of Samd11, a retinal photoreceptor PRC1 component, in establishing rod photoreceptor identity
Authors: Kubo Shun , Yamamoto Haruka , Kajimura Naoko , Omori Yoshihiro , Maeda Yamato , Chaya Taro , Furukawa Takahisa 
Published: February 2021

AbstractEstablishing correct neuronal cell identity is essential to build intricate neural tissue architecture and acquire precise neural function during vertebrate development. While it is known that transcription factors play important roles in retinal cell differentiation, the contribution of epigenetic factors to establishing cell identity during retinal development remains unclear. We previously reported that Samd7, a rod photoreceptor cell-specific sterile alpha motif (SAM) domain protein, functions as a Polycomb repressive complex 1 component (PRC1) that is essential for establishing rod identity. In the current study, we analyzed a functional role of Samd11, another photoreceptor-enriched SAM-domain protein, in photoreceptor differentiation and maturation. We observed that Samd11 interacts with Phc2 and Samd7, suggesting that Samd11 is a component of PRC1 in photoreceptor cells. We generated Samd11-null allele and established Samd7/11 double knock-out (DKO) mouse. The Samd7/11 DKO retina exhibits shortened photoreceptor outer segments by electron microscopy analysis. Microarray analysis revealed that Samd7/11 DKO up-regulated more retinal genes than Samd7−/− alone, partial functional redundancy of Samd7 and Samd11. Taken together, the current results suggest that Samd7 and Samd11 are PRC1 components and that Samd7 is the major regulator while Samd11 is an accessory factor used for the establishment of precise rod photoreceptor identity.
Constitutive activation of nitrate reductase in tobacco alters flowering time and plant biomass
Authors: Lu Jianli , Chandrakanth Niharika N. , Lewis Ramsey S. , Andres Karen , Bovet Lucien , Goepfert Simon , Dewey Ralph E. 
Published: February 2021

AbstractPyridine alkaloids produced in tobacco can react with nitrosating agents such as nitrite to form tobacco-specific nitrosamines (TSNA), which are among the most notable toxicants present in tobacco smoke. The market type known as burley tobacco is particularly susceptible to TSNA formation because its corresponding cultivars exhibit a nitrogen-use-deficiency phenotype which results in high accumulation of nitrate, which, in turn, is converted to nitrite by leaf surface microbes. We have previously shown that expression of a constitutively activated nitrate reductase (NR) enzyme dramatically decreases leaf nitrate levels in burley tobacco, resulting in substantial TSNA reductions without altering the alkaloid profile. Here, we show that plants expressing a constitutively active NR construct, designated 35S:S523D-NR, display an early-flowering phenotype that is also associated with a substantial reduction in plant biomass. We hypothesized that crossing 35S:S523D-NR tobaccos with burley cultivars that flower later than normal would help mitigate the undesirable early-flowering/reduced-biomass traits while maintaining the desirable low-nitrate/TSNA phenotype. To test this, 35S:S523D-NR plants were crossed with two late-flowering cultivars, NC 775 and NC 645WZ. In both cases, the plant biomass at harvest was restored to levels similar to those in the original cultivar used for transformation while the low-nitrate/TSNA trait was maintained. Interestingly, the mechanism by which yield was restored differed markedly between the two crosses. Biomass restoration in F1 hybrids using NC 645WZ as a parent was associated with delayed flowering, as originally hypothesized. Unexpectedly, however, crosses with NC 775 displayed enhanced biomass despite maintaining the early-flowering trait of the 35S:S523D-NR parent.
Gestational age-specific normative values and determinants of serum progesterone through the first trimester of pregnancy
Authors: Ku Chee Wai , Zhang Xiaoxuan , Zhang Valencia Ru-Yan , Allen John Carson , Tan Nguan Soon , Østbye Truls , Tan Thiam Chye 
Published: February 2021

AbstractProgesterone is a steroid hormone that is critical for implantation and maintenance of pregnancy, and low levels are associated with higher miscarriage risk. However, little is known about its trajectory during early pregnancy. We sought to determine the gestational age-specific normative values of serum progesterone on a week-by-week basis, and its associated maternal and fetal factors, during the first trimester of a viable low-risk pregnancy. A cross-sectional study was conducted at KK Women’s and Children’s Hospital from 2013 to 2018. 590 women with a single viable intrauterine low-risk pregnancy, between gestational weeks 5 and 12, were recruited. Serum progesterone showed an increasing trend during the first trimester, with a transient decline between gestational weeks 6–8, corresponding to the luteal–placental shift. Lowest levels were seen at week 7. Maternal age, BMI, parity, gestational age and outcome of pregnancy at 16 weeks’ gestation were found to be associated with progesterone levels. Normative values of serum progesterone for low-risk pregnancies would form the basis for future work on pathological levels of serum progesterone that may increase risk of miscarriage. Larger studies are required to validate these normative values, and personalize them to account for maternal age, BMI, parity and gestational age.
Elongation and branching of stem channels produced by positive streamers in long air gaps
Authors: Zhao Xiangen , Becerra Marley , Yang Yongchao , He Junjia 
Published: February 2021

AbstractThe elongation and branching of long positive spark discharges in the laboratory and in lightning have been attributed to the formation of thermalized channels inside a diffuse, glow-like streamer section at the leader head. It is experimentally shown here that the structured morphology of streamers produce low-density stem channels that elongate and branch well before a new leader channel section is formed. These non-thermalized stems are also shown to develop ahead of a developing leader channel. These findings are based on high-speed photography and Schlieren imaging used to visualize both the morphology of streamer filaments and stem channels. Numerical analysis is also performed to estimate the axial temperature and density of the stem channels. A stem-driven mechanism for the propagation and branching of positive long air gap discharges is proposed and discussed based on the presence of not-yet thermalized, low density channels formed by streamer ensembles at the leader head.
The Late Miocene Rifian corridor as a natural laboratory to explore a case of ichnofacies distribution in ancient gateways
Authors: Miguez-Salas Olmo , Rodríguez-Tovar Francisco J. , de Weger Wouter 
Published: February 2021

AbstractOceanic gateways have modulated ocean circulation and have influenced climatic variations throughout the Earth´s history. During the late Miocene (7.8–7.35 Ma), the Atlantic Ocean and the Mediterranean Sea were connected through the Rifian Corridor (Morocco). This gateway is one of the few examples of deep ancient seaways with a semi-continuous sedimentary record. Deposits comprise turbidites intercalated between deep-sea mudstone (i.e., hemipelagites and drift deposits), channelized sandstone contourite facies, and shallow marine sandstone. Herein an ichnological analysis was conducted in these upper Miocene sediments to improve characterisation of palaeoenvironmental conditions. In addition, ichnofacies were analysed to elucidate how bottom currents control ichnofacies distribution and can modify their attributes. Turbidite deposits are typified by vertical trace fossils (i.e., Ophiomorpha), conforming the Ophiomorpha rudis ichnosubfacies. Contouritic sandstone exhibits high density and low diversity trace-fossil assemblage, with predominant Macaronichnus and Scolicia, resembling a proximal expression of the Cruziana ichnofacies. Shallow marine environments are dominated by vertical trace fossils (e.g., Conichnus, Ophiomorpha, Skolithos), allowing an assignation to the Skolithos ichnofacies. This study reveals for the first time a variability in ichnofacies attributes and distribution at the Rifian Corridor, associated with turbidites, contourite and shallow marine sediments. Hydrodynamic energy reveals as the major factor controlling trace maker communities in the studied seaway. Highly energetic conditions typical of shallower settings are present in deeper-water environments (i.e., slope), contributing to ichnodiversity impoverishment in ichnofacies.
Potential of spectroscopic analyses for non-destructive estimation of tea quality-related metabolites in fresh new leaves
Authors: Yamashita Hiroto , Sonobe Rei , Hirono Yuhei , Morita Akio , Ikka Takashi 
Published: February 2021

AbstractSpectroscopic sensing provides physical and chemical information in a non-destructive and rapid manner. To develop non-destructive estimation methods of tea quality-related metabolites in fresh leaves, we estimated the contents of free amino acids, catechins, and caffeine in fresh tea leaves using visible to short-wave infrared hyperspectral reflectance data and machine learning algorithms. We acquired these data from approximately 200 new leaves with various status and then constructed the regression model in the combination of six spectral patterns with pre-processing and five algorithms. In most phenotypes, the combination of de-trending pre-processing and Cubist algorithms was robustly selected as the best combination in each round over 100 repetitions that were evaluated based on the ratio of performance to deviation (RPD) values. The mean RPD values were ranged from 1.1 to 2.7 and most of them were above the acceptable or accurate threshold (RPD = 1.4 or 2.0, respectively). Data-based sensitivity analysis identified the important hyperspectral regions around 1500 and 2000 nm. Present spectroscopic approaches indicate that most tea quality-related metabolites can be estimated non-destructively, and pre-processing techniques help to improve its accuracy.
AT1 receptor blocker, but not an ACE inhibitor, prevents kidneys from hypoperfusion during congestive heart failure in normotensive and hypertensive rats
Authors: Kratky Vojtech , Vanourkova Zdenka , Sykora Matus , Bacova Barbara Szeiffova , Hruskova Zdenka , Kikerlova Sona , Huskova Zuzana , Kopkan Libor 
Published: February 2021

AbstractTo provide novel insights into the pathogenesis of heart failure-induced renal dysfunction, we compared the effects of ACE inhibitor (ACEi) and AT1 receptor blocker (ARB) on systemic and kidney hemodynamics during heart failure in normotensive HanSD and hypertensive transgenic (TGR) rats. High-output heart failure was induced by creating an aorto-caval fistula (ACF). After five weeks, rats were either left untreated or treatment with ACEi or ARB was started for 15 weeks. Subsequently, echocardiographic, renal hemodynamic and biochemical measurements were assessed. Untreated ACF rats with ACF displayed significantly reduced renal blood flow (RBF) (HanSD: 8.9 ± 1.0 vs. 4.7 ± 1.6; TGR: 10.2 ± 1.9 vs. 5.9 ± 1.2 ml/min, both P < .001), ACEi had no major RBF effect, whereas ARB completely restored RBF (HanSD: 5.6 ± 1.1 vs. 9.0 ± 1.5; TGR: 7.0 ± 1.2 vs. 10.9 ± 1.9 ml/min, both P < .001). RBF reduction in untreated and ACEi-treated rats was accompanied by renal hypoxia as measured by renal lactate dehydrogenase activity, which was ameliorated with ARB treatment (HanSD: 40 ± 4 vs. 42 ± 3 vs. 29 ± 5; TGR: 88 ± 4 vs. 76 ± 4 vs. 58 ± 4 milliunits/mL, all P < .01). Unlike improvement seen in ARB-treated rats, ACE inhibition didn’t affect urinary nitrates compared to untreated ACF TGR rats (50 ± 14 vs. 22 ± 13 vs. 30 ± 13 μmol/mmol Cr, both P < .05). ARB was more effective than ACEi in reducing elevated renal oxidative stress following ACF placement. A marker of ACEi efficacy, the angiotensin I/angiotensin II ratio, was more than ten times lower in renal tissue than in plasma. Our study shows that ARB treatment, in contrast to ACEi administration, prevents renal hypoperfusion and hypoxia in ACF rats with concomitant improvement in NO bioavailability and oxidative stress reduction. The inability of ACE inhibition to improve renal hypoperfusion in ACF rats may result from incomplete intrarenal RAS suppression in the face of depleted compensatory mechanisms.
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
Authors: Peine Arne , Hallawa Ahmed , Bickenbach Johannes , Dartmann Guido , Fazlic Lejla Begic , Schmeink Anke , Ascheid Gerd , Thiemermann Christoph , Schuppert Andreas , Kindle Ryan , Celi Leo , Marx Gernot , Martin Lukas 
Published: February 2021

AbstractThe aim of this work was to develop and evaluate the reinforcement learning algorithm VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for critically-ill patients. We built, validated and tested its performance on 11,943 events of volume-controlled mechanical ventilation derived from 61,532 distinct ICU admissions and tested it on an independent, secondary dataset (200,859 ICU stays; 25,086 mechanical ventilation events). A patient “data fingerprint” of 44 features was extracted as multidimensional time series in 4-hour time steps. We used a Markov decision process, including a reward system and a Q-learning approach, to find the optimized settings for positive end-expiratory pressure (PEEP), fraction of inspired oxygen (FiO2) and ideal body weight-adjusted tidal volume (Vt). The observed outcome was in-hospital or 90-day mortality. VentAI reached a significantly increased estimated performance return of 83.3 (primary dataset) and 84.1 (secondary dataset) compared to physicians’ standard clinical care (51.1). The number of recommended action changes per mechanically ventilated patient constantly exceeded those of the clinicians. VentAI chose 202.9% more frequently ventilation regimes with lower Vt (5–7.5 mL/kg), but 50.8% less for regimes with higher Vt (7.5–10 mL/kg). VentAI recommended 29.3% more frequently PEEP levels of 5–7 cm H2O and 53.6% more frequently PEEP levels of 7–9 cmH2O. VentAI avoided high (>55%) FiO2 values (59.8% decrease), while preferring the range of 50–55% (140.3% increase). In conclusion, VentAI provides reproducible high performance by dynamically choosing an optimized, individualized ventilation strategy and thus might be of benefit for critically ill patients.
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images
Authors: Javaheri Tahereh , Homayounfar Morteza , Amoozgar Zohreh , Reiazi Reza , Homayounieh Fatemeh , Abbas Engy , Laali Azadeh , Radmard Amir Reza , Gharib Mohammad Hadi , Mousavi Seyed Ali Javad , Ghaemi Omid , Babaei Rosa , Mobin Hadi Karimi , Hosseinzadeh Mehdi , Jahanban-Esfahlan Rana , Seidi Khaled , Kalra Mannudeep K. , Zhang Guanglan , Chitkushev L. T. , Haibe-Kains Benjamin , Malekzadeh Reza , Rawassizadeh Reza 
Published: February 2021

AbstractCoronavirus disease 2019 (Covid-19) is highly contagious with limited treatment options. Early and accurate diagnosis of Covid-19 is crucial in reducing the spread of the disease and its accompanied mortality. Currently, detection by reverse transcriptase-polymerase chain reaction (RT-PCR) is the gold standard of outpatient and inpatient detection of Covid-19. RT-PCR is a rapid method; however, its accuracy in detection is only ~70–75%. Another approved strategy is computed tomography (CT) imaging. CT imaging has a much higher sensitivity of ~80–98%, but similar accuracy of 70%. To enhance the accuracy of CT imaging detection, we developed an open-source framework, CovidCTNet, composed of a set of deep learning algorithms that accurately differentiates Covid-19 from community-acquired pneumonia (CAP) and other lung diseases. CovidCTNet increases the accuracy of CT imaging detection to 95% compared to radiologists (70%). CovidCTNet is designed to work with heterogeneous and small sample sizes independent of the CT imaging hardware. To facilitate the detection of Covid-19 globally and assist radiologists and physicians in the screening process, we are releasing all algorithms and model parameter details as open-source. Open-source sharing of CovidCTNet enables developers to rapidly improve and optimize services while preserving user privacy and data ownership.
Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians
Authors: Fang Yu , Forger Daniel B. , Frank Elena , Sen Srijan , Goldstein Cathy 
Published: February 2021

AbstractWhile 24-h total sleep time (TST) is established as a critical driver of major depression, the relationships between sleep timing and regularity and mental health remain poorly characterized because most studies have relied on either self-report assessments or traditional objective sleep measurements restricted to cross-sectional time frames and small cohorts. To address this gap, we assessed sleep with a wearable device, daily mood with a smartphone application and depression through the 9-item Patient Health Questionnaire (PHQ-9) over the demanding first year of physician training (internship). In 2115 interns, reduced TST (b = −0.11, p < 0.001), later bedtime (b = 0.068, p = 0.015), along with increased variability in TST (b = 0.4, p = 0.0012) and in wake time (b = 0.081, p = 0.005) were associated with more depressive symptoms. Overall, the aggregated impact of sleep variability parameters and of mean sleep parameters on PHQ-9 were similar in magnitude (both r2 = 0.01). Within individuals, increased TST (b = 0.06, p < 0.001), later wake time (b = 0.09, p < 0.001), earlier bedtime (b = − 0.07, p < 0.001), as well as lower day-to-day shifts in TST (b = −0.011, p < 0.001) and in wake time (b = −0.004, p < 0.001) were associated with improved next-day mood. Variability in sleep parameters substantially impacted mood and depression, similar in magnitude to the mean levels of sleep parameters. Interventions that target sleep consistency, along with sleep duration, hold promise to improve mental health.
Population subgroup differences in the use of a COVID-19 chatbot
Authors: Schubel Laura C. , Wesley Deliya B. , Booker Ethan , Lock John , Ratwani Raj M. 
Published: February 2021

AbstractCOVID-19 chatbots are widely used to screen for symptoms and disseminate information about the virus, yet little is known about the population subgroups that interact with this technology and the specific features that are used. An analysis of 1,000,740 patients invited to use a COVID-19 chatbot, 69,451 (6.94%) of which agreed to participate, shows differences in chatbot feature use by gender, race, and age. These results can inform future public health COVID-19 symptom screening and information dissemination strategies.