Miracle-dz/UniFAR-FTUs huggingface dataset:
Disparities in particulate matter (PM10) origins and oxidative
potential at a city-scale (Grenoble, France) – Part II: Sources of PM10 oxidative potential using multiple linear regression analysis and the predictive applicability of multilayer perceptron neural network analysis

Abstract. The oxidative potential (OP) of particulate matter (PM) quantifies PM capability to cause anti-oxidant imbalance. Due to the wide range and complex mixture of species in particulates, little is known on the pollution sources most strongly contributing to OP. A one-year sampling of PM10 (particles with an aerodynamic diameter below 10) was performed over different sites in a medium-sized city (Grenoble, France). An enhanced fine-scale apportionment of PM10 sources, based on the chemical composition, was performed using Positive Matrix Factorization (PMF) method and reported in a companion paper (Borlaza et al., 2020). OP was assessed as the ability of PM10 to generate reactive oxygen species (ROS) using three different acellular assays: Dithiothreitol (DTT), Ascorbic acid (AA), and 2,7-dichlorofluorescein (DCFH) assays. Using multiple linear regression (MLR), the OP contribution of the sources identified by PMF were estimated. Conversely, since atmospheric processes are usually non-linear in nature, artificial neural network (ANN) techniques, which employs non-linear models, could further improve estimates. Hence, the multilayer perceptron analysis (MLP), an ANN-based model, was additionally used to model OP based on PMF-resolved sources as well. This study presents the spatiotemporal variabilities of OP activity with influences by season-specific sources, site typology and specific local features, and assay sensitivity. Overall, both MLR and MLP effectively captured the evolution of OP. The primary traffic and biomass burning sources were the strongest drivers of OP in the Grenoble basin. There is also a clear redistribution of source-specific impacts when using OP instead of mass concentration, underlining the importance of PM redox activity over mass concentration. Finally, the MLP generally offered improvements in OP prediction especially for sites where synergistic and/or antagonistic effects between sources are prominent, supporting the value of using ANN-based models to account for the non-linear dynamics behind the atmospheric processes affecting OP of PM10.
Interventions to Influence the Use of Antibiotics for Acute Upper Respiratory Tract Infections

Thirteen systematic reviews (SRs) were identified. Two of these SRs addressed delayed antibiotic prescribing and 12 of these SRs investigated family medicine interventions. Delayed antibiotic prescribing reduced antibiotic use for upper respiratory tract infections (URTIs) compared to immediate prescribing and did not appear to impact patient satisfaction or re-consultation rates; however, there was less evidence on clinical outcomes, health care utilization, or antibiotic resistance. One systematic review concluded that there was no difference between delayed and immediate antibiotics for many clinical outcomes, but that immediate antibiotics may modestly improve symptoms for acute otitis media (AOM) and sore throat compared with delayed antibiotics. Various family medicine interventions were evaluated; however, there were generally few relevant primary studies in each of these reviews for most of the interventions. Rapid or point-of-care tests to guide the treatment of URTIs appeared to reduce antibiotic prescribing compared to control or usual care; however, there was relatively little evidence on clinical outcomes for these tests. One systematic review on procalcitonin-guided treatment suggested that this intervention led to no difference in the number of days with restricted activities or rates of treatment failure compared to control, while another systematic review found that C-reactive protein (CRP) point-of-care tests to guide antibiotic prescribing resulted in no difference in recovery or time to resolution of the symptoms; however, this was based on only 2 randomized controlled trials (RCTs). Evidence was mixed on different patient- or provider-directed interventions, such as education, training, and tools. In some of the primary studies from the eligible SRs, these interventions reduced antibiotic prescribing; while in others, they had no effect on antibiotic prescribing.
Effect of crystal packing on the excitonic properties of rubrene polymorphs

Singlet fission (SF), the conversion of one singlet exciton into two triplet excitons, may lead to the realization of high efficiency organic photovoltaics by generating two carriers from one photon. Recently, SF has been observed in molecular crystals of rubrene. While the orthorhombic form of rubrene is most often observed under ambient conditions, metastable monoclinic and triclinic polymorphs are known. Here, dispersion-inclusive density functional theory (DFT) is used to investigate the relative stability of all three phases. Many-body perturbation theory is then employed to study the effect of crystal structure on the electronic and excitonic properties. Band structures are calculated within the GW approximation and optical properties are calculated by solving the Bethe–Salpeter equation (BSE). We find that crystal packing significantly affects the electronic and excitonic properties of rubrene. Based on our calculations, the triclinic and especially the monoclinic forms of rubrene are expected to exhibit higher SF efficiencies than the orthorhombic form.
Diaphragmatic endometriosis and thoracic endometriosis syndrome: a review on diagnosis and treatment

Abstract Endometriosis of the diaphragm has been gaining more attention in the practice of gynecologists and thoracic surgeons in recent years. Understanding related symptoms and developing imaging methods have improved their approach. A review of the literature was performed with the aim to report on incidence, diagnosis, treatment and prognosis of diaphragmatic endometriosis. We also cover the issue of the Thoracic Endometriosis Syndrome (TES). Complaints of cyclic chest pain in patients of childbearing age should have as differential diagnosis the presence of thoracic endometriosis. Catamenial pneumothorax is the main manifestation of diaphragmatic endometriosis and Thoracic Endometriosis Syndrome. Other possible manifestations are hemothorax, pulmonary nodules, and diaphragmatic hernia. Despite the possibility of drug treatment, many patients will be submitted to surgical treatment. The minimally invasive approach should be the one of choice. The robotic pathway allows for an easier approach due to its ability to articulate robotic arms, allowing the treatment of lesions in hard-to-reach locations, such as the posterior part of the diaphragm. Multidisciplinary treatment should be used in most cases, as only abdominal approach is not sufficient for the diagnosis and treatment of lesions in the thoracic cavity. The approach of endometriosis of the diaphragm and Thoracic Endometriosis Syndrome should be multidisciplinary, allowing the improvement of quality of life in most patients. Highlights – The incidence of diaphragmatic endometriosis is increasing – Use of MRI and/or CT will allow better diagnosis – Although medical treatment is an option, usually patient will need surgical approach – Minimally invasive approach should be the gold standard (laparoscopy or robotics) – Multidisciplinary management is mandatory – Randomized controlled trials should be done to enhance treatment – Early referral of patients with thoracic endometriosis will allow a better successful treatment rate
A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection

In this article, we present a deep multitask learning framework able to couple semantic segmentation and change detection using fully convolutional long short-term memory (LSTM) networks. In particular, we present a UNet-like architecture (L-UNet) that models the temporal relationship of spatial feature representations using integrated fully convolutional LSTM blocks on top of every encoding level. In this way, the network is able to capture the temporal relationship of spatial feature vectors in all encoding levels without the need to downsample or flatten them, forming an end-to-end trainable framework. Moreover, we further enrich the L-UNet architecture with an additional decoding branch that performs semantic segmentation on the available semantic categories that are presented in the different input dates, forming a multitask framework. Different loss quantities are also defined and combined together in a circular way to boost the overall performance. The developed methodology has been evaluated on three different data sets, i.e., the challenging bitemporal high-resolution Office National d’Etudes et de Recherches Aérospatiales (ONERA) Satellite Change Detection (OSCD) Sentinel-2 data set, the very high-resolution (VHR) multitemporal data set of the East Prefecture of Attica, Greece, and finally, the multitemporal VHR SpaceNet7 data set. Promising quantitative and qualitative results demonstrated that the synergy among the tasks can boost up the achieved performances. In particular, the proposed multitask framework contributed to a significant decrease in false-positive detections, with the F1 rate outperforming other state-of-the-art methods by at least 2.1% and 4.9% in the Attica VHR and SpaceNet7 data set cases, respectively. Our models and code can be found at https://github.com/mpapadomanolaki/multi-task-L-UNet.
Zwitterionic polymer brush grafting on anodic aluminum oxide membranes by surface-initiated atom transfer radical polymerization

A feasible processing of zwitterionic polymer-grafted anodic aluminum oxide (AAO) membranes by surface-initiated atom transfer radical polymerization (SI-ATRP) and the geometric effect on the polymer chain growth in the confined nanopores were investigated. A zwitterionic poly(3-(N-2-methacryloyloxyethyl-N,N-dimethyl)ammonatopropanesulfonate) (PMAPS) brush was produced on an AAO membrane via introduction of an initiator with a phosphonate group and subsequent SI-ATRP. The PMAPS-grafted AAO membranes were characterized by water droplet contact angle measurement, size exclusion chromatography (SEC), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), thermogravimetric analysis (TGA), and laser Raman micro-spectroscopy. The linear relationship between the grafting yield (Y) of the PMAPS brush and number-average molecular weight (Mn) of the unbound PMAPS indicates that there is no significant geometric effect on the chain growth under the spatial confinement inside the nanopores with diameters of ∼200 nm. The PMAPS brushes were diminished near the center section along the nanopores because the monomer supply was retarded. The capability of the PMAPS-grafted AAO membranes for inorganic nanoparticle immobilization was also demonstrated using gold nanoparticles (AuNPs) through ion-exchange and reduction processes.
Correlation between Body Mass Index to Hypertension in A Rural Area in East Java

Hypertension is one of the most commonly encountered problems in primary health care and a major risk factor for other lethal diseases. Obesity, another arising problem in developing and developed countries, is another major risk factor for metabolic disease. However, studies about both diseases and their intercorrelation in rural areas are still limited. Therefore, we conducted this study to investigate the correlation between body mass index (BMI) and blood pressure in a rural area. This study was an observational, cross-sectional study performed in outpatients at Community Health Care of Ngronggot, a rural area in East Java for one month with inclusion criteria aged >18 years old, systole blood pressure (SBP) ≥140 and/or diastole blood pressure (DBP) ≥90, or a history of anti-hypertensive treatment. Information including age, gender, SBP, DBP, mean arterial pressure (MAP), body weight, and height was collected and calculated for its distribution and correlation using the Spearman rank-order correlation test. There were 201 subjects in this study, 65.7% of which were female, while 34.3% of which are male, and the median age was 59 years old. We also found that more than 60% of our participants were overweight and obese. The results of the Spearman test showed that BMI significantly correlated with SBP ( p =0.029), DBP ( p =0.016), and MAP ( p =0.008). In conclusion, BMI had a positive correlation with blood pressure, and obesity was prevalent in our rural area population.
ANTIMICROBIAL AND ANTIOXIDANT PROPERTIES OF FLAVONOIDS-RICH FRACTION OF ZANTHOZYLUM ZANTHOXYLOIDES LEAF

This study involved assessment of antimicrobial and antioxidative properties of flavonoids-rich fraction of Z. zanthoxyloides leaf. The leaf samples were washed, air-dried and pulverized into a fine powder. This was then defatted with n-hexane and extracted with methanol for 72 hours by maceration which was sieved using cheese cloth and concentrated using rotary evaporator at 50 0C to obtain a crude methanolic extract. Phytochemical analyses were carried out on the crude extract using standard procedure and tested for antimicrobial and antioxidant properties. Thereafter, the crude extract was subjected to fractionation to obtain a crude flavonoid-rich fraction. In vitro antioxidant activity of the flavonoid-rich extract was evaluated using 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical, ferric reducing antioxidant power (FRAP), Hydrogen peroxide (H2O2) scavenging activity, superoxide radical scavenging activity (SRSA) methods. The antimicrobial activities were evaluated in vitro against bacterial species. Phytochemical analyses showed the presence of flavonoids, saponins, tannins, alkaloids, anthraquinones, steroids, and cardiac glycosides except phylobatannins and terpenoids which were absent. The yield of the flavonoids-rich fraction was 3.2%. The flavonoids-rich fraction showed the highest antioxidant activity when DPPH reaction was done at EC50 0.4857 ± 0.0166 (mg/ml), H2O2 at EC50 0.7482 ± 0.0397(mg/ml), SRSA at EC50 0.1267 ± 0.0052 (mg/ml). The microbial investigation revealed that the fraction exhibited an inhibitory activity against the bacteria Moraxella cattarhalis at 50 mg/ml, Staphlococcus aureus at 125 mg/ml and Klebsiella pneumonia at 500 mg/ml comparable to the standard antibiotic, ciprofloxacin. Thus, the flavonoids-rich fraction of Z. zanthoxyloides leaf appears to possess potent antioxidant cum antimicrobial potentials. This indicates its potential use as a natural source of antioxidant and antibiotic in drug design and development.
Long‐term community dynamics in vascular epiphytes on Annona glabra along the shoreline of Barro Colorado Island, Panama

Despite the ecological importance of vascular epiphytes in the tropics, even basic information on the processes that form epiphyte communities is scarce. This is partially due to an almost complete lack of long‐term studies. Here, we present data that were collected in three consecutive censuses over 21 years in a monospecific host tree system that is about 100 years old and interpret them in an empirical and a metapopulation/metacommunity framework. We documented an ongoing increase in abundance and diversity at the level of the entire system (metacommunity) and at the level of communities (all epiphytes growing on individual Annona glabra tree stands). This was also reflected at the population level; >2/3 of the species showed positive population growth rates. Similarly, colonisation of empty Annona trees was still ongoing, with the most abundant species being also the first to colonise empty trees. The community composition of colonised trees became more similar with time. In all three censuses, habitat size of epiphytes explained much of the variation in species richness among stands (groups of trees with individual trees within 25 m of each other) and overall abundant species tended to be more abundant at the stand scale. The species frequency distribution was unimodal, regardless of whether considering all stands or only stands with very large epiphyte communities, indicating that the metacommunity still has not reached an equilibrium phase. Similarly consistent in both census intervals, population growth rates decreased with increasing population size with substantial asynchrony among populations. Synthesis. In contrast to a typical herbaceous plant community, this epiphyte metacommunity is still expanding after one century of development. Our study shows that previously reported short‐term patterns of epiphyte community dynamics hold true in the long term. It remains to be shown, however, whether results from this monospecific host tree system are really representative for epiphyte community dynamics in more diverse tropical forests.
Integrated Quantitative Neuro-Transcriptome Analysis of Several Brain Areas in Human Trisomy 21

Background: Although Down syndrome (DS) is the most frequent human chromosomal disorder and it causes mainly intellectual disability, its clinical presentation is complex and variable. Objective: We aimed to analyze and compare the transcriptome disruption in several brain areas from individuals with DS and euploid controls as a new approach to consider a global systemic differential disruption of gene expression beyond chromosome 21. Methods: We used data from a DNA microarray experiment with ID GSE59630 previously deposited in the GEO DataSet of NCBI database. The array contained log2 values of 17,537 human genes expressed in several aeras of the human brain. We calculated the differential gene expression (Z-ratio) of all genes. Results: We found several differences in gene expression along the DS brain transcriptome, not only in the genes located at chromosome 21 but in other chromosomes. Moreover, we registered the lowest Z-ratio correlation between the age ranks of 16–22 weeks of gestation and 39–42 years (R2 = 0.06) and the highest Z-ratio correlation between the age ranks of 30–39 years and 40–42 years (R2 = 0.89). The analysis per brain areas showed that the hippocampus and the cerebellar cortex had the most different gene expression pattern when compared to the brain as a whole. Conclusions: Our results support the hypothesis of a systemic imbalance of brain protein homeostasis, or proteostasis network of cognitive and neuroplasticity process, as new model to explain the important effect on the neurophenotype of trisomy that occur not only in the loci of chromosome 21 but also in genes located in other chromosomes.
Resource-Optimized Recursive Access Class Barring for Bursty Traffic in Cellular IoT Networks

A massive number of Internet-of-Things (IoT) and machine-to-machine (M2M) communication devices generate various types of data traffic in cellular IoT networks: periodic or nonperiodic, bursty or sporadic, etc. In particular, bursty and nonperiodic traffic may cause an unexpected network congestion and temporary lack of radio resources. In order to effectively accommodate such bursty and nonperiodic traffic, we propose a novel recursive access class barring (R-ACB) technique to optimally utilize the available resources associated with the random access procedure (RAP) that consists of multiple steps in cellular IoT networks, while existing ACB schemes only considered the resource of the first step of RAP, i.e., the number of available preambles. The proposed R-ACB technique consists of two main parts: 1) online estimation of the number of active IoT/M2M devices who have data to transmit to an eNodeB and 2) adjustment of the ACB factor that indicates the probability that an active device sends a preamble to eNodeB. It is notable that the estimation and the adjustment recursively affect each other when R-ACB operates. In addition, we also propose mathematical models to analyze the performance of R-ACB in terms of total service time, average access delay, resource efficiency, and energy efficiency (EE). Through extensive computer simulations, we show that the proposed R-ACB technique outperforms the conventional ACB schemes.
Characterizing Dust‐Radiation Feedback and Refining the Horizontal Resolution of the MarsWRF Model Down to 0.5 Degree

In this study, three simulations by the Mars Weather Research and Forecasting Model are compared: two 10 Martian year (MY) 2° × 2° simulations with (i) fully radiatively active dust and (ii) a prescribed dust scenario, and a (iii) 1 MY 0.5° × 0.5° simulation with prescribed dust as in (ii). From comparing (i) and (ii), we found that the impact of dust‐radiation feedback is individually different for any region. The most striking evidence are major dust lifting activities to the south of Chryse Planitia (S‐CP) seen in (i) but not in (ii). By contrast, dust lifting and deposition on the southern slopes and inside the Hellas Basin are similar in both simulations. The latter, in turn, points toward a similar near‐surface atmospheric circulation. In (iii), the total global amount of wind stress lifted dust is by a factor of ∼8 higher than in (ii), with S‐CP being a major lifting region as in (i). Nonetheless, the surface dust lifting by wind stress in (iii) may be also reduced regionally, as seen at the peak of Elysium Mons because of its unique topography. The zonal mean circulation in (i) is generally of a comparable strength to that in (ii), with exceptions in global dust storm years, when it is clearly stronger in (i), in line with a dustier atmosphere. The differences in the zonal mean circulation between (ii) and (iii) are mostly at lower altitudes and may arise because of differences in the representation of the topography.
Global insights into homoeolog gene expression in upland cotton under intraspecific hybridization

Background: Hybridization is useful to enhance yield potential of agronomic crops in the world. Cotton has genome doubling due to alloteraploidy process and hybridization process in coordinate with duplicated genome can produce more yield and adaptability. Therefore, expression of homoeolog gene pairs between hybrids and inbred parents are vital to characterize genetic source of heterosis in cotton.Results: Investigation results of homoeolog gene pairs between two contrasting hybrids and their respective inbred parents identified 36853 homoeolog genes in hybrids. It was observed both high and low hybrids had similar trends in homoeolog gene expression patterns in each tissue under study. An average of 96% of homoeolog genes had no biased expression and their expressions were derived from the equal contribution of both parents. Besides, very few homoeolog genes (An average of 1%) showed no biased or novel expression in both hybrids. The functional analysis described secondary metabolic pathways had a majority of novel biased homoeolog genes in hybrids. Conclusions: These results contribute preliminary knowledge about how hybridization affects expression patterns of homoeolog gene pairs in upland cotton hybrids. Our study also highlights the functional genomics of metabolic genes to explore the genetic mechanism of heterosis in cotton.