Miracle-dz/UniFAR-FTUs huggingface dataset:
Flower image classification based on improved inception V4 network

Flower classification is a fundamental work in the field of botany. Since flower images are fine-grained images with large intra-class differences and high inter-class similarity, it brings great challenges to their classification. With the rapid development of artificial intelligence technology, machine learning algorithms based on convolutional neural networks have begun to gradually replace manual methods for image recognition and classification tasks. When the traditional convolutional neural network model is applied to the task of flower image classification, the convolution with deep layers leads to the gradual weakening of spatial detail information, which makes it difficult for the feature map used to guide the classification results to fully express the fine-grained features of flowers. Therefore, the classification effect is not ideal. In order to improve the accuracy of flower image classification, a classification method based on the improved Inception V4 network is proposed. In the basic feature extraction stage, the shallow features are fused to obtain basic fusion features with more detailed spatial information. The base fusion features are then weighted by channel attention using multi-scale features. Finally, the weighted basic fusion features and the corresponding elements of the original multi-scale features are added and fused to form advanced fusion features for classification tasks. The experimental results show that the proposed improved Inception V4 network has a more ideal classification effect for flower images.
Zinc Oxide Nanoparticles: Physiological and Biochemical Responses in Barley (Hordeum vulgare L.)

This work aimed to study the toxic implications of zinc oxide nanoparticles (ZnO NPs) on the physio-biochemical responses of spring barley (Hordeum sativum L.). The experiments were designed in a hydroponic system, and H. sativum was treated with two concentrations of ZnO NPs, namely 300 and 2000 mg/L. The findings demonstrated that ZnO NPs prevent the growth of H. sativum through the modulation of the degree of oxidative stress and the metabolism of antioxidant enzymes. The results showed increased malondialdehyde (MDA) by 1.17- and 1.69-fold, proline by 1.03- and 1.09-fold, and catalase (CAT) by 1.4- and 1.6-fold in shoots for ZnO NPs at 300 and 2000 mg/L, respectively. The activity of superoxide dismutase (SOD) increased by 2 and 3.3 times, ascorbate peroxidase (APOX) by 1.2 and 1.3 times, glutathione-s-transferase (GST) by 1.2 and 2.5 times, and glutathione reductase (GR) by 1.8 and 1.3 times in roots at 300 and 2000 mg/L, respectively. However, the level of δ-aminolevulinic acid (ALA) decreased by 1.4 and 1.3 times in roots and by 1.1 times in both treatments (nano-300 and nano-2000), respectively, indicating changes in the chlorophyll metabolic pathway. The outcomes can be utilized to create a plan of action for plants to withstand the stress brought on by the presence of NPs.
Loyola eCommons Loyola eCommons Draft Genome Sequence of an Active Heterotrophic Nitrifier- Draft Genome Sequence of an Active Heterotrophic Nitrifier-Denitrifier, Cupriavidus pauculus UM1 Denitrifier, Cupriavidus pauculus UM1

Here, we present the draft genome sequence of Cupriavidus pauculus UM1, a metal-resistant heterotrophic nitriﬁer-denitriﬁer capable of synthesizing ni-trite from pyruvic oxime. The size of the genome is 7,402,815 bp with a GC content of 64.8%. This draft assembly consists of 38 scaffolds. T he genus Cupriavidus is composed of Gram-negative peritrichously ﬂagellated rods with oxidative metabolisms. Members may be chemoheterotrophic or chemolitho-trophic, and resistance among them to various metals is widespread. Species are found in soil and as human clinical specimens (1); the species C. pauculus has been metabol-ically characterized (2).
Temperature Sensitivity of Topsoil Organic Matter Decomposition Does Not Depend on Vegetation Types in Mountains

Rising air temperatures caused by global warming affects microbial decomposition rate of soil organic matter (SOM). The temperature sensitivity of SOM decomposition (Q10) may depend on SOM quality determined by vegetation type. In this study, we selected a long transect (3.6 km) across the five ecosystems and short transects (0.1 km) from grazed and ungrazed meadows to forests in the Northwest Caucasus to consider different patterns in Q10 changes at shift of the vegetation belts. It is hypothesized that Q10 will increase along altitudinal gradient in line with recalcitrance of SOM according to kinetics-based theory. The indicators of SOM quality (BR:C, respiration per unit of soil C; MBC:C, ratio of microbial biomass carbon to soil carbon; soil C:N ratio) were used for checking the hypothesis. It was shown that Q10 did not differ across vegetation types within long and short transects, regardless differences in projective cover (14–99%) and vegetation species richness (6–12 units per plot). However, Q10 value differed between the long and short transects by almost two times (on average 2.4 vs. 1.4). Such a difference was explained by environmental characteristics linked with terrain position (slope steepness, microclimate, and land forms). The Q10 changes across studied slopes were driven by BR:C for meadows (R2 = 0.64; negative relationship) and pH value for forests (R2 = 0.80; positive relationship). Thus, proxy of SOM quality explained Q10 variability only across mountain meadows, whereas for forests, soil acidity was the main driver of microbial activity.
Evaluating Communication Features of Human Resource Management Practices: The Construction Industry in Lagos State, Nigeria

Human resource management practices (HRMPs) cannot thrive in an organisation without communication features. The communication attributes are essential as they are means through which meaningful information is shared or transferred in a functional organisation for effective and efficient work process. This study aims to evaluate the communication features of HRMPs in Lagos State, Nigeria, with a view to improving information dissemination among practising construction professionals and HRs in the built environment. Using a quantitative research design, a questionnaire was designed to achieve the quantitative strand through the target population. Data retrieved were screened and analysed using descriptive and principal component analysis (PCA). The Cronbach alpha and the Kruskal–Wallis H non-parametric tests were both utilised to evaluate the reliability of the data and to determine the respondents’ group opinions, respectively. This study was carried out in Lagos State, Nigeria and was limited to practising construction professionals (CPs) and HR in the built environment. The analysis showed that all the communication features ranked above the average mean, with a good communication network, formal communication methods, and use of appropriate communication channels ranking as the top three. PCA clustered the identified communication features into two components: feedback and involvement system, and communication methods. The originality of this study lies in its ability to display the communication features that will assist stakeholders and policymakers in channeling their resources appropriately with defined clusters rather than the usual mean ranking. Based on the findings, this study recommends that more attention should be given to the cluster groups (same as the two components mentioned above) in order to achieve the best optimal manner for efficiency and effectiveness of communication in the construction industry (CI).
In vitro and in silico characteristics of doxorubicin-loaded four polymeric-based polysaccharides-modified super paramagnetic iron oxide nanoparticles for cancer chemotherapy and magnetic resonance imaging

Abstract Super Paramagnetic Iron Oxide Nanoparticles have attracted much attention in drug delivery systems because of their considerable surface-to-volume ratio and content as well. In this regard, in this study, four different formulations of magnetic nanoparticles were synthesized via various polymeric coating layer (beta-cyclodextrin, Chitosan, Gum Arabic, and Alginate) in order to find an appropriate polymer in terms of higher drug loading efficiency and capacity. Molecular dynamics simulation and Quantum mechanics were manipulated to examine the interaction mechanism between the polysaccharide polymers and Doxorubicin. Based on the calculated results, As the best candidate, βCD was chosen for DOX loading. DOX, a hydrophilic drug, was loaded into each of the four formulations. The optimum formulation, Fe3O4-ßCD, possessed loading efficiency and capacity, with 97% and 13%, respectively. The selected nanocarrier was fully characterized by Fourier Transform Infrared, VSM, TGA, XRD, SEM, UV-Vis, DLS, and TEM. TEM result exhibited the prepared Fe3O4-ßCD-DOX nanoparticles had a spherical shape (core and shell) and the size of around 15 nm. In vitro release investigation was conducted using HPLC analysis in the phosphate-buffered saline in acidic (pH = 5.4) and neutral (pH = 7.4) medium. The obtained results demonstrated that a sustain release performance for more than 72 h with the amount of 50% DOX release in pH = 5.4. Cytotoxicity assay showed the toxicity of bare Fe3O4 and Fe3O4-ßCDNPsagainst MDA-MB468 cancerous cell and MCF10A normal cell was negligible and DOX-loaded NPs (Fe3O4-ßCD-DOX) illustrated a higher toxicity in MDA-MB468 cancerous cells than MCF 10 A normal cells. The results showed that Fe3O4-ßCD-DOXNPs could improve the therapeutic efficacy and also reduce the adversarial effects; accordingly, the prepared system could be served as a promising drug delivery system in cancer treatment. Graphical Abstract
Time-Varying Gene Expression Network Analysis Reveals Conserved Transition States in Hematopoietic Differentiation between Human and Mouse

(1) Background: analyses of gene networks can elucidate hematopoietic differentiation from single-cell gene expression data, but most algorithms generate only a single, static network. Because gene interactions change over time, it is biologically meaningful to examine time-varying structures and to capture dynamic, even transient states, and cell-cell relationships. (2) Methods: a transcriptomic atlas of hematopoietic stem and progenitor cells was used for network analysis. After pseudo-time ordering with Monocle 2, LOGGLE was used to infer time-varying networks and to explore changes of differentiation gene networks over time. A range of network analysis tools were used to examine properties and genes in the inferred networks. (3) Results: shared characteristics of attributes during the evolution of differentiation gene networks showed a “U” shape of network density over time for all three branches for human and mouse. Differentiation appeared as a continuous process, originating from stem cells, through a brief transition state marked by fewer gene interactions, before stabilizing in a progenitor state. Human and mouse shared hub genes in evolutionary networks. (4) Conclusions: the conservation of network dynamics in the hematopoietic systems of mouse and human was reflected by shared hub genes and network topological changes during differentiation.
Quantifying the Uncertainty Sources of Future Climate Projections and Narrowing Uncertainties With Bias Correction Techniques

Decomposing the uncertainty of global climate models is highly instructive in understanding climate change. However, it remains unclear whether sources of uncertainty have changed as the models have evolved and the extents to which uncertainty in temperature and precipitation are narrowed after bias correction (BC). We quantified uncertainty in temperature and precipitation projections over global land from three sources—model uncertainty, scenario uncertainty, and internal variability—and compared results from the models participating in the 5th and 6th phases of the Coupled Model Intercomparison Project (CMIP5 and CMIP6). In addition, we investigated the potential of four BC methods for narrowing uncertainty in temperature and precipitation over the globe and individual continents. Raw projections of temperature and precipitation have greater uncertainty and lower fractional uncertainty relative to their anomalies. The largest temperature uncertainties appear in high‐latitude and high‐altitude regions, and the largest precipitation uncertainties are in low‐latitude regions and mountainous and coastal areas. For uncertainties in CMIP6 temperatures, the contribution from model uncertainty decreases with time (from 99% to 39%), while the contribution from scenario uncertainty increases with time (from 0.01% to 61%). For precipitation projections, the contribution from model uncertainty predominates (98%), while the contributions from scenario uncertainty (1.8%) and internal variability (0.2%) are extremely low. Four BC methods have exhibited excellent ability to reduce uncertainty, and among them, BC and spatial disaggregation has the best performance. These findings can help us better understand the characteristics of the models, while also providing decision makers with more accurate information to address climate mitigation and adaptation measures.
XCT and DLW: Synergies of Two Techniques at Sub-Micrometer Resolution

Direct Laser Writing (DLW) and X-ray computed tomography (XCT) both offer unique possibilities in their respective fields. DLW produces full three-dimensional (3D) polymer structures on the microscale with resolutions below 100 nm. The fabricated structures can be analysed by XCT or X-ray microscopy (XRM), which incorporates additional X-ray lenses, in three dimensions down to a minimal basic spatial resolution of about 500 nm or 50 nm, respectively. In this work, two different DLW structures are analysed via XCT. Internal defects are detected and analysed for the purpose of quality control. Defects and structures with sizes down to 1.5 µm are successfully analysed. A 3D reconstruction and internal, hidden features of the fabricated structures are shown and discussed. In a first-of-its-kind study, we demonstrate the detectability of a single-voxel line inside a fabricated structure that would not be detectable with SEM or light microscopy. Furthermore, the direct fabrication on a PET substrate is shown to overcome the high X-ray absorbance of commonly used glass substrates. Attenuation spectra of SZ2080 and glass substrates are compared to a fabrication route direct on a 170 µm PET foil. The practical aspects of XCT measurements for DLW structures on different substrates will be discussed.
Combination of Electron Beam Surface Structuring and Plasma Electrolytic Oxidation for Advanced Surface Modification of Ti6Al4V Alloy

The objective of this work is to study for the first time the combination of electron beam (EB) surface structuring and plasma electrolytic oxidation (PEO) with the aim of providing a multiscale topography and bioactive surface to the Ti6Al4V alloy for biomedical applications. Ca and P-containing coatings were produced via 45 s PEO treatments over multi-scale EB surface topographies. The coatings morphology and composition were characterized by a means of scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS). The effect on the previous EB topography was evaluated by means of a 3D optical profilometry and electrochemical response via potentiodynamic polarization tests. In general, the PEO process, morphology, composition and growth rate of the coatings were almost identical, irrespective of the topography treated. Minimal local differences were found in terms of morphology, and the growth rate were related to specific topographical features. Nevertheless, all the PEO-coated substrates presented essentially the same corrosion resistance. Electrochemical tests revealed a localized crevice corrosion susceptibility of all the bare EB topographies, which was successfully prevented after the PEO treatment.
Plasma Metabolomics Reveals β-Glucan Improves Muscle Strength and Exercise Capacity in Athletes

The present study aimed to assess the changes in muscle strength and plasma metabolites in athletes with β-glucan supplementation. A total of 29 athletes who met the inclusion criteria were recruited for this study (ChiCTR2200058091) and were randomly divided into a placebo group (n = 14) and β-glucan group (n = 15). During the trial, the experimental group received β-glucan supplementation (2 g/d β-glucan) for 4 weeks and the control group received an equal dose of placebo supplementation (0 g/d β-glucan), with both groups maintaining their regular diet and exercise habits during the trial. The athletes’ exercise performance, muscle strength, and plasma metabolome changes were analyzed after 4 weeks of β-glucan supplementation. The results showed a significant increase in mean grip strength (kg), right hand grip strength (kg), left triceps strength (kg), and upper limb muscle mass (kg) in the experimental group after the 4-week intervention compared to the preintervention period (p < 0.05). A comparison of the difference between the two groups after the intervention showed that there were significant differences between the control group and the experimental group in mean grip strength (kg) and right-hand grip strength (kg) (p < 0.05). Athletes in the experimental group showed significant improvements in 1 min double rocking jump (pcs), VO2max (ml/kg-min) (p < 0.05). The β-glucan intake increased the creatine-related pathway metabolites in plasma. Overall, these results suggest that 4 weeks of β-glucan supplementation can improve muscle strength in athletes, with the potential to increase aerobic endurance and enhance immune function, possibly by affecting creatine-related pathways.
Accuracy of FIB-4 to Detect Elevated Liver Stiffness Measurements in Patients with Non-Alcoholic Fatty Liver Disease: A Cross-Sectional Study in Referral Centers

The identification of advanced fibrosis by applying noninvasive tests is still a key component of the diagnostic algorithm of NAFLD. The aim of this study is to assess the concordance between the FIB-4 and liver stiffness measurement (LSM) in patients referred to two liver centers for the ultrasound-based diagnosis of NAFLD. Fibrosis 4 Index for Liver Fibrosis (FIB-4) and LSM were assessed in 1338 patients. A total of 428 (32%) had an LSM ≥ 8 kPa, whereas 699 (52%) and 113 (9%) patients had an FIB-4 < 1.3 and >3.25, respectively. Among 699 patients with an FIB-4 < 1.3, 118 (17%) had an LSM ≥ 8 kPa (false-negative FIB-4). This proportion was higher in patients ≥60 years, with diabetes mellitus (DM), arterial hypertension or a body mass index (BMI) ≥ 27 kg/m2. In multiple adjusted models, age ≥ 60 years (odds ratio (OR) = 1.96, 95% confidence interval (CI) 1.19–3.23)), DM (OR = 2.59, 95% CI 1.63–4.13), body mass index (BMI) ≥ 27 kg/m2 (OR = 2.17, 95% CI 1.33–3.56) and gamma-glutamyltransferase ≥ 25 UI/L (OR = 2.68, 95% CI 1.49–4.84) were associated with false-negative FIB-4. The proportion of false-negative FIB-4 was 6% in patients with none or one of these risk factors and increased to 16, 31 and 46% among those with two, three and four concomitant risk factors, respectively. FIB-4 is suboptimal to identify patients to refer to liver centers, because about one-fifth may be false negative at FIB-4, having instead an LSM ≥ 8 KPa.
Influence of the flow field and vortex structure of patient-specific abdominal aortic aneurysm with intraluminal thrombus on the arterial wall

ABSTRACT In this study, numerical simulations and experiments were conducted on patient-specific normal abdominal aorta and abdominal aortic aneurysm (AAA) with intraluminal thrombus (ILT) models, which were reconstructed from computed tomography angiography (CTA) images published online. A scale-adaptive simulation (SAS) of the abdominal aortic aneurysm with a posterior eccentric thrombus was performed and the reliability of the numerical simulation was verified by 2D particle image velocimetry (PIV) experimental results. The distribution of wall shear stress (WSS), oscillatory shear index (OSI), and relative residence time (RRT) of the normal abdominal aorta and AAA were compared and discussed systematically according to the numerical simulation results under rest and exercise conditions. Numerical results indicated that ILT deposition positions were accompanied by low WSS, high OSI, and high RRT regions and were characterized by small vortex groups, which was due to the fragmentation of large vortex structures. The distribution law of the AAA wall parameters has an obvious correlation with the nearby vortex structure formation, development, fragmentation and dissipation. It was also found that high TAWSS, low OSI, and low RRT regions present in the middle and lower aneurysm walls under exercise condition reduce the risk of ILT formation and development.
Reviving of embedded MOFs in electrospun nanofibers by solvent swelling for arsenate removal in water

ABSTRACT Nanoparticles coated with electrospun fibers cannot fully exert their inherent properties. Therefore, it is critical to develop a method to enhance the intrinsic performances of the composite fibers. In this work, UiO-66/PAN composite nanofiber membranes with good physicochemical properties were prepared by electrospinning, and a swelling method was developed to improve its performances. The adsorption performance for arsenate was improved by 19.9% or 49% after swelling by nitrobenzene or pyridine solvent, respectively. The swelling process did not change the morphologies and structures of the fibers. The pyridine solvent as the swelling agent improved the adsorption performance of the nanofiber membrane by about 45% in 1 hour. There was no detectable leached Zr in the remaining solution, indicating that the composite membrane was stable during the course. This work provides a new strategy for functional promotion of electrospun nanofiber membrane and will be helpful for environmentally friendly applications of nanocomposites in water remediation.
Photometric Confirmation of MACHO Large Magellanic Cloud Microlensing Events

We present previously unpublished photometry of three Large Magellanic Cloud (LMC) microlensing events and show that the new photometry confirms the microlensing interpretation of these events. These events were discovered by the MACHO Project alert system and were also recovered by the analysis of the 5.7 yr MACHO data set. This new photometry provides a substantial increase in the signal-to-noise ratio over the previously published photometry, and in all three cases, the gravitational microlensing interpretation of these events is strengthened. The new data consist of MACHO-Global Microlensing Alert Network (GMAN) follow-up images from the CTIO 0.9 m telescope plus difference imaging photometry of the original MACHO data from the 1.3 m Great Melbourne telescope at Mount Stromlo. We also combine microlensing light-curve fitting with photometry from high-resolution HST images of the source stars to provide further confirmation of these events and to show that the microlensing interpretation of event MACHO LMC-23 is questionable. Finally, we compare our results with the analysis of Belokurov et al., who have attempted to classify candidate microlensing events with a neural network method, and we find that their results are contradicted by the new data and more powerful light-curve fitting analysis for each of the four events considered in this paper. The failure of the Belokurov et al. method is likely to be due to their use of a set of insensitive statistics to feed their neural networks.