Miracle-dz/UniFAR-FTUs huggingface dataset:
Size-resolved particle number emissions in Beijing determined from measured particle size distributions

Abstract. The climate and air quality effects of aerosol particles depend on the number and size of the particles. In urban environments, a large fraction of aerosol particles originates from anthropogenic emissions. To evaluate the effects of different pollution sources on air quality, knowledge of size distributions of particle number emissions is needed. Here we introduce a novel method for determining size-resolved particle number emissions, based on measured particle size distributions. We apply our method to data measured in Beijing, China, to determine the number size distribution of emitted particles in a diameter range from 2 to 1000 nm. The observed particle number emissions are dominated by emissions of particles smaller than 30 nm. Our results suggest that traffic is the major source of particle number emissions with the highest emissions observed for particles around 10 nm during rush hours. At sizes below 6 nm, clustering of atmospheric vapors contributes to calculated emissions. The comparison between our calculated emissions and those estimated with an integrated assessment model GAINS (Greenhouse Gas and Air Pollution Interactions and Synergies) shows that our method yields clearly higher particle emissions at sizes below 60 nm, but at sizes above that the two methods agree well. Overall, our method is proven to be a useful tool for gaining new knowledge of the size distributions of particle number emissions in urban environments and for validating emission inventories and models. In the future, the method will be developed by modeling the transport of particles from different sources to obtain more accurate estimates of particle number emissions.
A protocol for systematic review and meta-analysis

Background: postmenopausal osteoporosis is a systemic metabolic skeletal disease associated with menopause-related estrogen withdrawal. postmenopausal osteoporosis is characterized by low bone mass, bone microstructure destruction, leading to increased bone brittleness and be prone to fracture, resulting in disability and death. At present, the commonly used drugs are estrogen, calcium, bone formation promoter and bone resorption inhibitor, and the side effects are obvious. In Traditional Chinese medicine, kidney-tonifying differentiating medicine is guided by the whole concept, Xianling Gubao capsule as the representative, the treatment of postmenopausal osteoporosis has certain therapeutic advantages, but lacks evidence-based medicine evidence. The purpose of this study is to systematically study the efficacy and safety of Xianling Gubao capsule in the treatment of postmenopausal osteoporosis. Methods: use computer to search English databases (PubMed, Embase, Web of Science, the Cochrane Library) and Chinese databases (China Knowledge Network, Wanfang, Weipu, Chinese Biomedical Database), in addition manually search Baidu academic, Google academic, from the establishment of database to October 2020, for randomized controlled clinical study of postmenopausal osteoporosis in the Xianling Gubao capsule treatment. Two researchers independently did the data extraction and literature quality evaluation, using RevMan5.3 software to do meta-analysis of the included literature. Results: this study assessed the efficacy and safety of xianling gubao capsule in the treatment of postmenopausal osteoporosis by total effective rate, bone density after treatment, blood calcium level after treatment, blood phosphorus level after treatment, pain score, quality of life and so on. Conclusion: this study will provide reliable evidence-based evidence for the clinical application of Xianling Gubao capsule in the treatment of postmenopausal osteoporosis. OSF Registration number: DOI 10.17605/OSF.IO/TP394 Abbreviations: PMOP = postmenopausal osteoporosis, RCTs = randomized controlled trials.
Identification of a cryptic submicroscopic deletion using a combination of fluorescence in situ hybridization and array comparative genomic hybridization in a t(3;5)(q25;q35)-positive acute myeloid leukemia patient

Abstract Rationale: The advent of high-resolution genome arrays including array comparative genomic hybridization (aCGH) has enabled the detection of cryptic submicroscopic deletions flanking translocation breakpoints in up to 20% of the apparently “balanced” structural chromosomal rearrangements in hematological disorders. However, reports of submicroscopic deletions flanking the breakpoints of t(3;5)(q25;q35) are rare and the clinical significance of submicroscopic deletions in t(3;5) has not been explicitly identified. Patient concerns: We present a 47-year-old man with acute myeloid leukemia. G-banding analysis identified t(3;5)(q25;q35). Diagnosis: Array CGH-based detection initially confirmed only the deletion of chromosome 3. Further characterization using fluorescence in situ hybridization identified a cryptic submicroscopic deletion including 5′ MLF1-3′ NPM1 flanking the breakpoint on the derivative chromosome 3. Interventions: The patient started “7+3” induction chemotherapy with cytosine arabinoside and daunorubicin, and subsequently received 2 cycles of high-dose intermittent acronym of cytosine arabinoside or cytarabine. Outcomes: The patient did not undergo complete remission and died from an infection due to neutropenia. Lessons: Haploinsufficiency of NPM1 or other deleted genes, including SSR3, may be responsible for the phenotype of t(3;5)(q25;q35)-positive myeloid neoplasms with submicroscopic deletions.
The Meteoric Ni Layer in the Upper Atmosphere

The first global atmospheric model of Ni (WACCM‐Ni) has been developed to understand recent observations of the mesospheric Ni layer by ground‐based resonance lidars. The three components of the model are: the Whole Atmospheric Community Climate Model (WACCM6); a meteoric input function derived by coupling an astronomical model of dust sources in the solar system with a chemical meteoric ablation model; and a comprehensive set of neutral, ion‐molecule, and photochemical reactions pertinent to the chemistry of Ni in the upper atmosphere. In order to achieve closure on the chemistry, the reaction kinetics of three important reactions were first studied using a fast flow tube with pulsed laser ablation of a Ni target, yielding k(NiO + O) = (4.6 ± 1.4) × 10−11, k(NiO + CO) = (3.0 ± 0.5) × 10−11, and k(NiO2 + O) = (2.5 ± 1.2) × 10−11 cm3 molecule−1 s−1 at 294 K. The photodissociation rate of NiOH was computed to be J(NiOH) = 0.02 s−1. WACCM‐Ni simulates satisfactorily the observed neutral Ni layer peak height and width, and Ni+ measurements from rocket‐borne mass spectrometry. The Ni layer is predicted to have a similar seasonal and latitudinal variation as the Fe layer, and its unusually broad bottom‐side compared with Fe is caused by the relatively fast NiO + CO reaction. The quantum yield for photon emission from the Ni + O3 reaction, observed in the nightglow, is estimated to be between 6% and 40%.
Quantifying the Effect of Subcritical Water Repellency on Sorptivity: A Physically Based Model

Soil water wettability or water repellency is a phenomenon that can affect infiltration and, ultimately, runoff. Thus, there is a need to develop a model that can quantitatively capture the influence of water repellency on infiltration in a physically meaningful way and within the framework of existing infiltration theory. The analytical model developed in this study relates soil sorptivity (an infiltration parameter) with contact angle (a direct measure of water repellency) for variably saturated media. The model was validated with laboratory experiments using a silica sand of known properties treated to produce controlled degrees of water repellency. The measured contact angle and sorptivity values closely matched the model‐predicted values. Further, the relationship between the frequently used water drop penetration time test (used to assess water repellency) and sorptivity was illustrated. Finally, the direct impact of water repellency on saturated hydraulic conductivity was investigated due to its role in infiltration equations and to shed light on inconsistent field observations. It was found that water repellency had minimal effect on the saturated hydraulic conductivity of structureless sand. A quantitative model for infiltration incorporating the effect of water repellency is particularly important for post‐fire hydrologic modeling of burned areas exhibiting water repellent soils.
Application of Offshore Visibility Forecast Based on Temporal Convolutional Network and Transfer Learning

Visibility forecasting in offshore areas faces the problems of low observational data and complex weather. This paper proposes an intelligent prediction method of offshore visibility based on temporal convolutional network (TCN) and transfer learning to solve the problem. First, preprocess the visibility data sets of the source and target domains to improve the quality of the data. Then, build a model based on temporal convolutional network and transfer learning (TCN_TL) to learn the visibility data of the source domain. Finally, after transferring the knowledge learned from a large amount of data in the source domain, the model learns the small data set in the target domain. After completing the training, the model data of the European Mid-Range Weather Forecast Center (ECMWF) meteorological field were selected to test the model performance. The method proposed in this paper has achieved relatively good results in the visibility forecast of Qiongzhou Strait. Taking Haikou Station in the spring and winter of 2018 as an example, the forecast error is significantly lower than that before the transfer learning, and the forecast score is increased by 0.11 within the 0-1 km level and the 24 h forecast period. Compared with the CUACE forecast results, the forecast error of TCN_TL is smaller than that of the former, and the TS score is improved by 0.16. The results show that under the condition of small data sets, transfer learning improves the prediction performance of the model, and TCN_TL performs better than other deep learning methods and CUACE.
Towards Understanding the Task Dependency of Embodied Language Processing: The Influence of Colour During Language-Vision Interactions

A main challenge for theories of embodied cognition is to understand the task dependency of embodied language processing. One possibility is that perceptual representations (e.g., typical colour of objects mentioned in spoken sentences) are not activated routinely but the influence of perceptual representation emerges only when context strongly supports their involvement in language. To explore this question, we tested the effects of colour representations during language processing in three visual-world eye-tracking experiments. On critical trials, participants listened to sentence-embedded words associated with a prototypical colour (e.g., ‘…spinach…’) while they inspected a visual display with four printed words (Experiment 1), coloured or greyscale line drawings (Experiment 2) and a ‘blank screen’ after a preview of coloured or greyscale line drawings (Experiment 3). Visual context always presented a word/object (e.g., frog) associated with the same prototypical colour (e.g. green) as the spoken target word and three distractors. When hearing spinach participants did not prefer the written word frog compared to other distractor words (Experiment 1). In Experiment 2, colour competitors attracted more overt attention compared to average distractors, but only for the coloured condition and not for greyscale trials. Finally, when the display was removed at the onset of the sentence, and in contrast to the previous blank-screen experiments with semantic competitors, there was no evidence of colour competition in the eye-tracking record (Experiment 3). These results fit best with the notion that the main role of perceptual representations in language processing is to contextualize language in the immediate environment.
Prevalence and Molecular Characterization of Defective DNA Mismatch Repair in Small-bowel Carcinoma in a Japanese Hospital-based Population

Objectives: To investigate the prevalence and molecular characteristics of defective DNA mismatch repair (dMMR) in small-bowel carcinoma (SBC) in a Japanese-hospital population. Methods: Immunohistochemistry was performed to evaluate the expression of MMR proteins (MLH1, MSH2, MSH6, and PMS2) in formalin-fixed paraffin-embedded sections prepared from surgically resected primary SBCs from 30 patients during March 2002 to March 2017. Genetic testing for Lynch syndrome was performed in patients who demonstrated MMR protein loss. Results: Two of 30 patients (6.7%) demonstrated concomitant loss of MSH2/MSH6 protein expression. Further genetic testing identified a pathogenic MSH2 variant in one of these patients. Conclusions: The prevalence of dMMR SBCs in a Japanese hospital-based population seems lower than that reported in previous studies. To determine whether dMMR SBCs might be strongly linked to Lynch syndrome, there is a need for further investigation with a larger sample size.
Local functional connectivity of patients with acute and remitting multiple sclerosis

Supplemental Digital Content is available in the text Abstract Using Kendall's coefficient of concordance (KCC-) and Coherence (Cohe-) regional homogeneity (ReHo) to explore the alterations of brain local functional connectivity in acute and remitting relapsing-remitting multiple sclerosis (RRMS), and its clinical relevance. 18 acute RRMS, 26 remitting RRMS and 20 healthy controls received resting-state functional magnetic resonance imaging scanning. After data preprocessing and ReHo (KCC-ReHo and Cohe-ReHo) calculation, analysis of variance and followed post hoc analysis was used to compare the KCC-ReHo or Cohe ReHo maps across groups. After analysis of variance analysis, regions with significant among-group differences detected by the 2 ReHo analysis were overlapped, these overlapped regions located in the left superior frontal gyrus (SFG), right SFG, left cuneus and right middle occipital gyrus (P < .01, Gaussian random field theory correction). Followed post hoc tests showed that, compared with healthy controls,(1) increased ReHo in left cuneus and right middle occipital gyrus only detected in acute RRMS not in remitting RRMS;(2) acute and remitting RRMS both demonstrated decreased ReHo in the SFG and medial frontal gyrus (MeFG). Except for the overlapped location, the regions location of altered ReHo detected by the 2 ReHo analysis also present difference. Further, correlation analysis showed disease duration was negatively correlated with the KCC-ReHo (when K = 7, 19) of left SFG (r = -0.633, P = .006; r = -0.620, P = .008), left MeFG (r = -0.608, P = .010; r = -0.555, P = .022), the KCC-ReHo (when K = 27) of left and right SFG (r = -0.551, P = .022; r = -0.603, Ρ = .010), and the Cohe-ReHo of right MeFG (r = -0.608, P = .010) in acute RRMS; meanwhile, the KCC-ReHo (when K = 7, 19) of right SFG (r = -0.590, P = .013; r = -0.599, P = .011) was negatively related to expanded disability status scale scores in the acute RRMS. Both acute and remitting RRMS patients has disease-related brain dysfunction, interestingly, relative to remitting RRMS, the acute RRMS patients mobilized more brain regions involving visual information processing in an attempt to maintain functional stability. In addition, our results also provide a methodological consideration for future ReHo analysis.
Perception of Smile Aesthetics of Patients with Anterior Malocclusions and Lips Influence: A Comparison of Dental Professionals', Dental Students,' and Laypersons' Opinions

Objectives The aim of the study was to evaluate the perception of smile aesthetics in patients with varying degrees of anterior crowding and spacing among dental specialists, dentists, dental students, and laypersons and to assess the effect of the lips position. Materials and Methods Clinical photos of cases of anterior crowding (mild, moderate, and severe) and spacing (mild, moderate, and severe) with and without the associated lips were used. The images were evaluated by 250 persons including dental specialists, dentists, dental students, and laypersons using the rating scale method, (extremely unaesthetic to extremely aesthetic, 1 to 5, respectively). Nonparametric tests were used to analyse the data on SPSS version 24. Results According to the 250 responses, the aesthetic perception of all severities of anterior crowding and mild and moderate spacing was found to be more aesthetic when displayed with the lips (p < 0.05). Additionally, the higher the level of dental education, the lower the aesthetic perception with and without the lips (p < 0.05). Conclusions The lips play a significant role in improving the aesthetics of crowded anterior teeth and spaced anterior teeth. Dental educational level influences the aesthetic perception of anterior crowding and spacing. This may have an impact on treatment planning and need for orthodontic intervention.
Development of a photovoltaic characteristics generator based on mathematical models for four PV panel technologies

A good study of photovoltaic system requests to have very precise current-voltage characteristic curves of photovoltaic modules for different technologies. The photovoltaic emulator provides an efficient solution to maintain the same current-voltage output of photovoltaic module. It includes three parts: the PV model, the control strategy, and the power converter. This paper provides three classes of modeling and simulation of photovoltaic arrays and presents the synthesis results of the current-voltage characteristic performances obtained by the modeling approaches. The models of the first class are based on electrical circuit model, those of the second class are based on multiple straight lines model, and for the third class, it is based on the look up table. The mathematical model is built using MATLAB/ Simulink, and an experimental bench was carried out to acquire an up-to-date and representative experimental database of four PV panels. This database is used for the validation of these models for the different PV panel technologies under Moroccan meteorological conditions. Following this comparative study, we came to a high agreement between the experimental and simulated current-voltage characteristics for the emulator under study.
Efficacy and safety of sofosbuvir-based pangenotypic direct-acting antiviral agents for chronic hepatitis C patients without genotype determination

Abstract Several new, pangenotypic direct-acting antiviral agents (DAAs) have been approved, may reduce the need for genotyping to guide therapy decisions for patients with chronic hepatitis C (CHC). This study aimed to investigate the efficacy and safety of Sofosbuvir (SOF)-based pangenotypic DAAs therapy for CHC patients without genotype (GT determination in the real-world practice. This retrospective cohort study included treatment-naïve CHC patients without GT determination, who received SOF-based DAAs therapy, including 400 mg SOF plus 60 mg daclatasvir (DCV) daily or 400 mg SOF plus 100 mg velpatasvir (VEL) daily for 12 or 24 weeks. Clinical and laboratory data, including sustained virologic response (SVR), were obtained at baseline, end of treatment (EOT), 12 weeks after EOT, and 48 weeks after EOT. A total of 95 CHC patients, including 30 (31.58%) had liver cirrhosis were enrolled. SVR rates after 12 weeks of treatment (SVR12) was 96.84% (92/95), including 96.20% (76/79) of patients receiving SOF plus DCV and 100% (16/16) of patients receiving SOF plus VEL. For 92 patients achieving an SVR12, no virological relapse was observed at 48 weeks after EOT. Furthermore, serum evaluation of liver fibrosis aspartate aminotransferase-to-platelet ratio index and Fibrosis-4 score were decreased significantly at EOT and 12 weeks after EOT, compared to pre-treatment values (both P < .05). Treatment was well-tolerated by our patients. SOF-based pangenotypic DAAs including SOF plus DCV and SOF plus VEL, were effective and safe for CHC patients without GT determination in this study. This may provide a potential simple strategy for CHC treatment without GT determination.
Dynamic spectrum access using markov chain technique for regional area network

Cognitive Radio Network is the effective solution to the spectrum scarcity. Dynamic spectrum access is a paradigm used to access the spectrum dynamically. A Markov Chain is a stochastic model describing a sequence of possible events in which probability of each event depends only on the state attained in the previous event. We model the dynamics of cognitive user with 2-D Markov chain. The resource distribution probability (RDP) verses addition/ elimination rate of the channels in the network is also plotted. The RDP verses utilization factor of the queue, which is the secondary user in the network, is also plotted. This plot helps to maintain the total arrival and departure rate based on the RDP. The base station of the network will use this relation to maintain the proper RDP for the devices. The dynamics of each cognitive user and its correlation with Markov Chain is an interesting approach. Here we considered the DSA at Base Station as a Markov chain and analyzed it. This analysis helps us to determine the behavior of the cognitive radio and also helps to find the fault in the cognitive devices.
Increased Occurrence and Intensity of Consecutive Rainfall Events in the China's Three Gorges Reservoir Area Under Global Warming

Consecutive rainfall events (CREs) are important triggers of geological hazards like landslide downhill and mudslide in the Three Gorges Reservoir area (TGR), China. These hazards are not only potential risks for the effective storage capacity of the reservoir but also threats of the safety of the reservoir's Great Dam. The future changes of CREs' occurrence and intensity are analyzed by using the projection experiments from 20 models attending the Coupled Model Intercomparison Project Phase 5 (CMIP5) under three different representative concentration pathways (RCP2.6, RCP4.5, and RCP8.5). Spring and fall are focused on, during which CREs are most frequent. Considering a common overestimate of rainy days number in the state‐of‐the‐art models, a new approach is developed to define CREs based on the percentile of rainfall distribution in observations. The approach yields a similar CREs climatology in models to that in observations and thus is used to identify CREs in models. The results based on multiple model ensemble (MME) and model spread comparison suggest a significant increase in spring and an overall decrease in fall in CREs' occurrence under all three scenarios. As for the intensity, it is projected to intensify in both spring and fall. Particularly, the higher the emission scenario, the greater the spring accumulated rainfall amount during a single CRE. These results imply an increasing risk of geological hazards in the TGR in the future.