Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast and accurate analysis of electromagnetic scattering from targets situated in dielectric half space

Electromagnetic scattering from targets situated in half space is solved by applying fast inhomogeneous plane wave algo- rithm combined with a tabulation and interpolation method. The integral equation is set up based on derivation of dyadic Green's functions in this environment. The coupling is divided into nearby region and well-separated region by grouping. The Green's func- tion can be divided into two parts: primary term and reflected term. In the well-separated region, the two terms are both expressed as Sommerfeld integral, which can be accelerated by deforming in- tegral path and taking interpolation and extrapolation. For the nearby region, the direct Sommerfeld integral makes the filling of impedance matrix time-expensive. A tabulation and interpolation method is applied to speed up this process. This infinite integral is pre-computed in sampling region, and a two-dimensional table is then set up. The impedance elements can then be obtained by interpolation. Numerical results demonstrate the accuracy and efficiency of this algorithm.
Sensing Surfaces: A Non-filamentous C. albicans Response Sensing Surfaces: A Non-filamentous C. albicans Response

: Resulting infections of mucosal tissues by Candida albicans present difficulty in treatment due to the formation of biofilms and invasion of tissue directed by thigmo-tropic responses of hyphal cells. Initiation of biofilm formation, however, is largely dependent on yeast-form cells. Their ability to sense surfaces, however, has yet to be examined. In the present study, an initial genetic profiling of the surface sensing response by non-filamentous Candida albicans was generated. In order to assess the ability for yeast-form C. albicans cells to recognize surfaces, four differentially solidified YPD plate types were created using agar, noble agar, Gelrite, and carrageenan. Genetic expression was assessed after 30 minutes growth on solid plates via qRT-PCR and compared against liquid YPD conditions. Of the 15 genes tested, 4 genes were significantly differentially expressed across all plate types including Rhd3, Nce103, Hwp1, and Ece1. This analysis indicates a potential surface sensing response by yeast-form C. albicans cells characterized by inhibition of biofilm forming genes and the discernment of growth under atmospheric conditions on noninducing surfaces.
Research progress of dual-model contrast based on the magnetic nano particles

The iron oxide nanoparticles used in the combined imaging technology of PET and MRI have excessive iron in the local area of the patient, causing cytotoxicity and other problems. Therefore, in this work, three different coating-coated nano-iron oxide particles (Fe3O4 NPs) are introduced. First, different lengths of heparin oligosaccharide (HO) are coupled to the nanoparticles’ surface, improving the imaging contrast by controlling the length of HO. The second method is to coat the surface of nanoparticles with N, N, N-trimethyl chitosan (TMC) coating to couple breast cancer receptors to TMC, so as to realize targeted detection of breast cancer. The third method aims at improving the stability and biocompatibility of imaging agents in the human body and reduce the cytotoxicity of the imaging agent in the liver, such as coating the surface of nanoparticles with hydroxyapatite coating.
Is it Contagious? Does Parents’ Internet Addiction Impact Their Adolescents’ Internet Addiction?

Extensive research has shown various family factors such as low family cohesion, and limited parental supervision to be associated with adolescent Internet addiction (IA). There has been little discussion about the relationship between parental IA and adolescent IA. The purpose of this study was to determine whether parental IA and parental monitoring of digital technology use interpret IA in their adolescents. The current study was carried out with 168 parents of adolescents, predominantly female parents. They reported demographics and how often they monitored their adolescent’s Internet usage and responded to the Internet Addiction Diagnostic Questionnaire (IADQ) and Parental Version of Young Diagnostic Questionnaire (PYDQ). The two scales, IADQ and PYDQ, comprise of eight binary questions, each representing a symptom of IA. Multiple regression and Chi-square were used for statistical analysis. The multiple regression model showed that parents’ gender, employment status, frequency of monitoring of time spent on the Internet, and activities performed on the Internet by adolescents were not significant predictors of PYDQ. Parents’ IADQ scores and the frequency of serious arguments with their adolescents about excessive Internet use were positive and significant predictors of PYDQ. Adolescents were more likely to be dependent Internet users when their parents were also dependent Internet users. Seven of the eight IA symptoms in parents were associated with the related symptoms in adolescents. These results suggest that family counseling programs shall not only focus on dealing with adolescents but help parents demonstrate constructive and balanced digital habits and become positive role models themselves. Serious arguments on excessive Internet use predicted IA in adolescents. In light of our results, it may be beneficial for parents to play a role model in technology use and have more productive discussions with their adolescents about it. The results also signify the need for better knowledge and literacy in communicating with adolescents about excessive Internet use.
Numerical simulation of ion temperature gradient driven modes in the presence of ion-ion collisions

Ion temperature gradient driven modes in the presence of ion-ion collisions in a toroidal geometry with trapped ions have been studied by using a 1 2/2 d linearized gyro-kinetic particle simulation code in the electrostatic limit. The purpose of the investigation is to try to understand the physics of flat density discharges, in order to test the marginal stability hypothesis. Results giving threshold conditions of L{sub Ti}/R{sub 0}, an upper bound on k{sub {chi}}, and linear growth rates and mode frequencies over all wavelengths for the collisionless ion temperature gradient driven modes are obtained. The behavior of ion temperature gradient driven instabilities in the transition from slab to toroidal geometry, with trapped ions, is shown. A Monte Carlo scheme for the inclusion of ion-ion collisions, in which ions can undergo Coulomb collisional dynamical friction, velocity space diffusion and random walk of guiding centers, has been constructed. The effects of ion-ion collisions on the long wave length limit of the ion modes is discussed. 44 refs., 12 figs.
A Composite System Based upon Hydroxypropyl Cyclodextrins and Soft Hydrogel Contact Lenses for the Delivery of Therapeutic Doses of Econazole to the Cornea, In Vitro

Fungal keratitis, a disease in which the cornea becomes inflamed due to an invasive fungal infection, remains difficult to treat due in part to limited choices of available treatments. Topical eye drops are first-line treatment, but can be ineffective as low levels of drug reach the target site due to precorneal losses and the impenetrability of the cornea. The aim of this study was to determine the corneal delivery of econazole using a novel topical enhancement approach using a composite delivery system based upon cyclodextrins and soft hydrogel contact lenses. Excess econazole nitrate was added to hydroxypropyl-α-cyclodextrin (HP-α-CD) and hydroxypropyl-β-cyclodextrin (HP-β-CD) solutions, and the solubility determined using HPLC. Proprietary soft hydrogel contact lenses were then impregnated with saturated solutions and applied to freshly enucleated porcine eyeballs. Econazole nitrate ‘eye drops’ at the same concentrations served as the control. After 6 h, the corneas were excised and drug-extracted, prior to quantification using HPLC. Molecular dynamic simulations were performed to examine econazole–HP-β-CD inclusion complexation and dissociation. The minimum inhibitory concentration (MIC) of econazole was determined against four fungal species associated with keratitis, and these data were then related to the amount of drug delivered to the cornea, using an average corneal volume of 0.19 mL. The solubility of econazole increased greatly in the presence of HP-β-CD and more so with HP-α-CD (p < 0.001), with ratios >> 2. Hydrogel contact lenses delivered ×2.8 more drug across the corneas in comparison to eye drops alone, and ×5 more drug delivered to the cornea when cyclodextrin was present. Molecular graphics demonstrated dynamic econazole release, which would create transient enhanced drug concentration at the cornea surface. The solution-only drops achieved the least satisfactory result, producing sub-MIC levels with factors of ×0.81 for both Fusarium semitectum and Fusarium solani and ×0.40 for both Scolecobasidium tshawytschae and Bipolaris hawaiiensis. All other treatments delivered econazole at > MIC for all four fungal species. The efficacies of the delivery platforms evaluated were ranked: HP-α-CD contact lens > HP-β-CD contact lens > contact lens = HP-α-CD drops > HP-β-CD drops > solution-only drops. In summary, the results in this study have demonstrated that a composite drug delivery system based upon econazole–HP-β-CD inclusion complexes loaded into contact lenses can achieve significantly greater corneal drug delivery with the potential for improved clinical responses.
Fault Detection for Uncertain Polynomial Fuzzy Systems Using $H_{-}/L_{\infty }$ Observer and Ellipsoidal Analysis

This article investigates the fault detection problem of polynomial fuzzy systems with parameter uncertainty, external disturbance, and measurement noise. Based on the <inline-formula><tex-math notation="LaTeX">$H_{-}/L_{\infty }$</tex-math></inline-formula> observer and ellipsoidal analysis, a fault detection observer is designed, which is sensitive to faults while robust to disturbances. By using the given <inline-formula><tex-math notation="LaTeX">$H_{-}$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$L_{\infty }$</tex-math></inline-formula> performance indexes, the design conditions of fault detection observer are derived in sum of squares. The <inline-formula><tex-math notation="LaTeX">$H_{-}/L_{\infty }$</tex-math></inline-formula> fault detection observer can generate the residual for fault detection. We consider the fault-free condition that the admissible residual values are contained in compact sets. Based on the generated residual, the ellipsoidal analysis is used to evaluate the residual and detect the fault. Finally, the feasibility and effectiveness are verified through the simulation of a numerical nonlinear model.
Charge distributions of sup 208 Pb, sup 206 Pb, and sup 205 Tl and the mean-field approximation

Charge distributions of {sup 208}Pb, {sup 206}Pb, and {sup 205}Tl have been calculated within the Hartree-Fock and Hartree-Fock+BCS approximations with the Skyrme interaction. Using the force SkM{sup *} designed without any reference to this particular problem, we find good agreement with elastic electron scattering data. The role of pairing correlations beyond the mean field is studied by applying the Lipkin-Nogami method of variation after approximate projection on the good number of particles. We argue in this paper that, in our opinion, there is no {ital significant} discrepancy between the experimental data and the Hartree-Fock calculations using reasonable effective interactions. In particular, we do not see any compelling need for a large depletion of the occupation number of the proton 3{ital s}{sub 1/2} orbital.
Aspects symplectiques de la géométrie quaternionique

The vanishing of the exterior derivative of the fundamental 4-form Ω of a quaternion-Hermitian manifold M, dim M≥12, implies that Ω is parallel. Quaternionic Kahler manifolds are included in the theory of hyper Kahler manifolds in such a way that generalised symplectic reductions are preserved Si la differentielle exterieure de la 4-forme fondamentale Ω d'une variete hermitienne quaternionique M, dim M≥12, est nulle, Ω est parallele. On inclut les varietes kahleriennes quaternioniques dans la theorie des varietes hyperkahleriennes en conservant les generalisations de la reduction symplectique
High‐Resolution Soil Moisture Data Reveal Complex Multi‐Scale Spatial Variability Across the United States

Soil moisture (SM) spatiotemporal variability critically influences water resources, agriculture, and climate. However, besides site‐specific studies, little is known about how SM varies locally (1–100‐m scale). Consequently, quantifying the SM variability and its impact on the Earth system remains a long‐standing challenge in hydrology. We reveal the striking variability of local‐scale SM across the United States using SMAP‐HydroBlocks — a novel satellite‐based surface SM data set at 30‐m resolution. Results show how the complex interplay of SM with landscape characteristics and hydroclimate is primarily driven by local variations in soil properties. This local‐scale complexity yields a remarkable and unique multi‐scale behavior at each location. However, very little of this complexity persists across spatial scales. Experiments reveal that on average 48% and up to 80% of the SM spatial information is lost at the 1‐km resolution, with complete loss expected at the scale of current state‐of‐the‐art SM monitoring and modeling systems (1–25 km resolution).
A Machine Learning and Multi-Agent Model to Automate Big Data Analytics in Smart Cities

—The objective of this paper is to present an architecture to improve the process of automating big data analytics using a multi-agent system and machine learning techniques, to support the processing of real time big data streams and to enhance the process of decision-making for urban planning and management. With the rapidly evolving information technologies, and their utilization in many areas such as smart cities, social networks, urban management and planning, massive data streams are generated and need an efficient approach to deal with. The proposition in this paper adopts the concept of smart data which focuses on the value aspect from big data. The proposed architecture is composed of three layers: data acquisition and storage, data management and processing and the service layer, based on a multi-agent system to automate the big data analytics; the proposed model describe the functionalities of the system and the collaboration between agents, these autonomous entities receive data streams in real time, they perform operations of preprocessing, big data analytics and storage into a Hadoop cluster. The techniques of machine learning are also used to enhance the process of decision making, such the use of classification algorithms to predict habitat type based on the characteristics of a population to help making efficient urban planning decisions. The proposed system can serve as a platform to support data management and to conduct effective decision-making in smart cities.
Flexible Ureterorenoscopy versus Shockwave Lithotripsy in Management of Residual Stone Fragments after Percutaneous Nephrolithotomy

Background: Shock wave lithotripsy (SWL) and flexible ureterorenoscopy (FURS) have been used to treat renal stones. Objective: This study aimed to compare the results of FURS and SWL in managing post- percutaneous nephrolithotomy residual stone particles. Subjects and Methods: This prospective randomized controlled study included 48 patients with renal residual stones. It was conducted at Urological Department, Zagazig University Hospitals to compare the outcomes of SWL and FURS for the treatment of residual stone fragments from ≥ 4 mm to ≤ 20 mm following percutaneous nephrolithotomy (PNL). Results: The success rate, operating time, residual stones, and complications in the two groups were all significantly different. One month following surgery, the SFR was higher in the FURS group (91.7%) than in the SWL group (66.7%) (p < 0.02). Less time was spent operating on patients in the SWL group (37.6 ± 7.63) than FURS group (57.50 ± 8.84). Complication rate was 16.6% in the SWL group and 12.5% in the FURS group. Conclusion: Treatment of 0.4–20 mm residual stone fragments following PNL using FURS, SWL, and other techniques was found to be safe and successful in all cases. Compared to SWL, the SFR of FURS was greater, and the retreatment rate was lower. The operating duration in the FURS group was the longest.
Research on Electric Vehicle Charging Scheduling Strategy Based on the Multiobjective Algorithm

Under the influence of the low-carbon economy, the electric vehicles have been vigorously promoted. As the main place for charging, charging stations are classified as unstable loads in the power grid because of the large fluctuation of electricity demand. If a large number of charging stations in the system are not regulated and dispatched, the stability of the system will be greatly affected, so it is vital to further study the scheduling strategy of the cars. In this paper, a scheduling model based on the multiobjective algorithm is established, in which the PSO algorithm is used in the model. And the experimental analysis shows that the model can reduce the average charging time and improve the utilization rate of charging piles.
Pathways between self-concept and academic stress: the role of emotional intelligence and personality among university students

ABSTRACT Emotional intelligence, self-concept, academic stress and personality have been associated with university students’ academic performance. The aim of this paper was to study the relationship between self-concept and academic stress in Education students from different Universities in the region of Andalusia (Spain), analysing the mediational role of Emotional Intelligence and personality factors in this relationship. To this end, 1,022 Education students completed the following tests: A self-concept test (AF-5), an Emotional Intelligence test (WLEIS), a personality test (Big-Five 44), and an academic stress test (SISCO). The proposed model, which has good fit rates, shows that the individual’s self-concept predicts some of the variance of academic stress by a full mediation of Emotional Intelligence and the personality factor called neuroticism. The practical implications of the study are discussed and explained.
Extensive Early Marine Seafloor Cementation in a Modern Epeiric Sea Induced by Seawater Properties and a Shallow Redox Boundary Below the Seafloor

Extensive early marine cementation at the seafloor has important environmental implications (e.g., ocean chemistry and atmosphere pCO2), but its driver remains controversial, because many factors have been proposed to affect early marine cementation. At the Abu Dhabi coastal area of the Persian Gulf, extensive early marine cementation at the seafloor provides a good modern study case for ancient analogs. Based on petrological (thin section, cathodoluminescence and scanning electron microscope) and geochemical (e.g., δ13CDIC, alkalinity, aragonite saturation) analyses, this study investigates integrated factors from seawater to sediment properties and tests previously proposed explanations about extensive early marine cementation at the seafloor. Results suggest multiple factors involved in the early marine cementation. CaCO3 saturation, small CaCO3 saturation gradient and higher sea level in the early Holocene are consistent with former explanations. A new finding is shallow redox boundary within the seafloor sediment promoting extensive early marine cementation. The formation of shallow redox boundary is unrelated to anoxic bottom water and/or enhanced organic influx, but rather is related to: (a) high salinity under hot and arid climate, and (b) low‐energy and restricted shallow marine settings. , These conditions undoubtedly occurred in past shallow and warm epeiric marine seas. This provides new insights into formation mechanism and paleoenvironmental interpretation of ancient extensive early marine cementation at the seafloor on epeiric seas.
EFFECT OF DIFFERENT KINDS OF FOOD ON THE TRYPSINACTIVITY IN MIDGUT WALL AND MIDGUT CONTENTS OF EUPREPOCNEMIS PLORANS (ACRIDIDAE, ORTHOPTERA)

Haemolymph proteins of Euprepocnemis plorans nymph and adult females were estimated after they feeding on different foods,and trypsin activity in midgut of nymphs. Electrophoresis of heamolymph from grasshoppers fed on lupin ( Lupinus trmis ) or horsebean ( Vicia faba ) showed much less stainable protein in comparison to those fed on clover ( Trifolium alexandrinum ). Trypsin activity in midgutt wall or in midgut were lower in nymphs fed on lupin or horsebean than those from nymphs fed on clover
Completion Time Minimization for UAV-UGV-Enabled Data Collection

In unmanned aerial vehicle (UAV)-enabled data collection systems, situations where sensor nodes (SNs) cannot upload their data successfully to the UAV may exist, due to factors such as SNs’ insufficient energy and the UAV’s minimum flight altitude. In this paper, an unmanned ground vehicle (UGV)-UAV-enabled data collection system is studied, where data collection missions are conducted by a UAV and a UGV cooperatively. Two cooperative strategies are proposed, i.e., collaboration without information interaction, and collaboration with information interaction. In the first strategy, the UGV collects data from remote SNs (i.e., the SNs that cannot upload data to the UAV) as well as some normal SNs (i.e., the SNs that can upload data to the UAV), while the UAV only collects data from some normal SNs. Then, they carry the data back to the data center (DC) without interacting with each other. In the second strategy, the UGV only collects data from remote SNs, while transmitting the collected data to the UAV at a data interaction point, then the data are carried back to the DC by the UAV. There are mobile data collection nodes on the ground and in the air, and the task is to find trajectories to minimize the data collection time in the data center. A collaborative strategy selection algorithm, combining a multi-stage-based SN association and UAV-UGV path optimization algorithm, is proposed to solve the problem effectively, where techniques including convex optimization and genetic algorithm are adopted. The simulation result shows that the proposed scheme reduces the mission completion time by 36% compared with the benchmark scheme.
A Systematic Review on the Efficacy and Safety of Selective Serotonin Reuptake Inhibitors in Gastrointestinal Motility Disorders: More Control, Less Risk

Gastrointestinal motility disorders have been thought to occur due to an imbalance in the interaction of the gut-brain axis, which is regulated by serotonin. This recent discovery can be exploited to find newer therapeutic agents such as selective serotonin reuptake inhibitors for functional gastrointestinal disorders. PubMed, PubMed Central (PMC), and Medline databases were used to obtain the data. Meta-analyses, systematic reviews, randomized control trials, and reviews were included and analyzed in the data. Of the 19240 studies, 23 were extracted, and after appropriate quality assessment, they were utilized in this systematic review. They included two meta-analyses, four systematic reviews, two randomized control trials, and 15 review articles. The systematic review focuses on the efficacy of selective serotonin reuptake inhibitors (SSRIs) as compared to other treatment modalities for disorders of gut-brain interaction. It explores various studies analyzing SSRIs for their mechanism of action, their desirable effects for treating irritable bowel syndrome, and their tolerability in patients. SSRIs are effective and safe in treating overall symptoms of gastrointestinal motility disorders, particularly constipation-predominant disorders. They seem to have a better side effect profile than other drugs. This should encourage physicians to prescribe SSRIs early on in the disease.