Small Variations Research Articles

Fano resonance and sensing application based on terahertz asymmetric split-ring metasurfaces

Recently, Fano resonance metamaterials have attracted considerable attention in the field of terahertz modulator and sensitive detection due to its high quality factor, sensitivity to the environment, and simple structure. Here, a Fano resonance and sensing application based on terahertz asymmetric split-ring resonators metasurfaces been investigated. The Fano resonance exhibits a strong dependence on both the symmetry of the meta-atoms and the rotation angle of the metasurface. Exploiting the high sensitivity of Fano resonance to conductivity, we employed indium oxide film as the analyte to validate the sensitive detection of Fano resonance to conductivity. Furthermore, we enhanced the sensitivity by introducing rotation, enabling the detection of even smaller variations in the conductivity of perovskite film. This research provides an important experimental and theoretical foundation for further investigating the mechanisms of Fano resonance and exploring its potential in sensor applications.

Wideband Omnidirectional Antenna Featuring Small Azimuthal Gain Variation.

Wideband omnidirectional antennas are essential components in radio monitoring and communication systems, enabling the reception of signals from all directions over a wide bandwidth. This paper presents a novel wideband omnidirectional antenna design that achieves a 1-dB gain variation across its azimuthal plane within a bandwidth of 1.8 GHz to 7.77 GHz. The antenna's exceptional performance is attributed to two flower-bud-shaped monopoles that, through pattern superposition, generate a wideband omnidirectional radiation pattern. Analysis shows that the use of a circular ground plane also reduces the azimuthal gain variation. Additionally, an embedded matching structure integrated into the antenna's base enhances the impedance bandwidth without compromising its compact size. Analytical investigations demonstrate that the matching structure effectively behaves as a five-order LC circuit, explaining its wideband matching capabilities. Furthermore, structural modifications effectively reduce side lobe levels, ensuring minimal interference. Experimental measurements corroborate the antenna's omnidirectional radiation pattern and confirm that the azimuthal gain variation remains within 1-dB throughout its bandwidth, while maintaining an S11 below -10 dB from 1.8 GHz to 7.7 GHz. The antenna's bandwidth overlaps with the spectrum intensively used in mobile communication technologies, such as LTE, Bluetooth, and IEEE 802.11be, as well as radiolocation applications, making it a promising choice for unmanned aerial vehicles conducting communication and radio monitoring missions.

Study of the Blazhko Type RRc stars in the Stripe 82 Region Using SDSS and ZTF

RR Lyrae stars (RRLs) are pulsating stars, many of which also show a long-term variation called the Blazhko effect which is a modulation of amplitude and phase of the lightcurve. In this work, we searched for the incidence rate of the Blazhko effect in the first-overtone pulsating RR Lyrae (RRc) stars of the Galactic halo. The focus was on the Stripe 82 region in the Galactic halo which was studied by Sesar et al. using the Sloan Digital Sky Survey (SDSS) data. In their work, 104 RRLs were classified as RRc type. We combined their SDSS light curves with Zwicky Transient Facility (ZTF) data, and used them to document the Blazhko properties of these RRc stars. Our analysis showed that among the 104 RRc stars, eight were rather RRd stars, and were excluded from the study. Out of the remaining 96, 34 were Blazhko type, 62 were non-Blazhko type, giving the incidence rate of 35.42% for Blazhko RRc stars. The shortest Blazhko period found was 12.808 ± 0.001 days for SDSS 747380, while the longest was 3088 ± 126 days for SDSS 3585856. Combining SDSS and ZTF data sets increased the probability of detecting the small variations due to the Blazhko effect, and thus provided a unique opportunity to find longer Blazhko periods. We found that 85% of RRc stars had the Blazhko period longer than 200 days.

Studies on ZrO2 nanoparticles for gas sensing application

Zirconium dioxide (ZrO2) nanoparticles were synthesized using co-precipitation technique and their structural, particle size, UV-Visible (UV–vis), and gas sensing properties were studied. In this paper, the particle size-dependent properties of ZrO2 have been investigated. XRD analysis indicated that the crystal structure of ZrO2 nanoparticles varies with sintering temperature, while crystallite size decreases with an increase in sintering temperature. A small variation in the optical energy band gap is observed in UV–vis spectroscopy. Resistance versus time data was carried out for the gas sensing application, and it was observed that the particle size and nature of the gas play a key role in the sensing of the gases. In the present case, ZrO2 nanoparticles possess more sensitivity to acetone than methanol.

Chemical Composition and Color of Short-Rotation Teak Wood Thermally Modified in Closed and Open Systems

Although the effect of thermal modification (TM) on teak wood color is well documented, few studies have been carried out on closed-system processes, and it remains unclear what the effect is of different processes on the same material. This work aimed to verify the effect of closed- and open-system processes of TM on the color of short-rotation teak wood. Thermally modified wood (TMW) was evaluated in a closed system at 160 °C (CS160) and in an open system at 185 °C and 210 °C (OS185 and OS210). We measured the moisture content (initial and final) of the wood and the corrected mass loss (CML). The chemical analyses encompassed the contents of alpha-cellulose, hemicelluloses, lignin, and extractives (total, in acetone and dichloromethane). Wood color was measured before and after TM according to the CIEL*a*b* color space. It was possible to achieve the same color using different processes of thermal modification (CS160 and OS210). TM reduced wood lightness (L*), red–green chromaticity coordinate (a*), and yellow–blue chromaticity coordinate (b*). L* and a* had the biggest and smallest variations, respectively. TMW color was significantly changed, even at the mildest condition tested (OS185, 0.33% CML).

Hole quality evaluation for abrasive water jet drilling of GF/Al mesh reinforced epoxy hybrid composites

AbstractIn this study, neat glass (NG) fiber and hybrid GF/Al‐wire mesh composites with two different aluminum configurations (AG: with Al in the outer surface, and GA [Glass fiber/Al‐mesh]: with Al in the core) were fabricated using hand‐layup technique and then drilled via an abrasive water jet (AWJ) machine. The impact of the drilling parameters on the hole qualities; delamination , kerf angle (), and circularity error () of the holes were studied. Using Taguchi L9 orthogonal array, drilling operations were conducted. The following AWJ drilling parameters were chosen; water pressure (P), stand‐off distance (S), and traverse speed (V) with three levels each. A single‐objective optimization using Taguchi method was performed to minimize the drilling responses for the least outcome. In addition, gray relational analysis (GRA) was used as a multi‐decision technique. Analysis of variance (ANOVA) was carried out to identify the impacts of AWJ drilling parameters. The results indicated that for AG specimen, was reduced by 5.3%–10.96% and its by 10.4%–29.65%. GA had the lowest kerf angle. The most effective parameters on delamination for NG, AG, and GA were P, followed by S and V. Validation tests showed small variations between experimental and predicted values.Highlights A new GF/Al Wire Mesh Reinforced Epoxy Hybrid Composites were manufactured. AWJ drilling of the manufactured Composites was conducted. Hole quality was improved by adding Al to the outer layers (AG specimen). AWJ parameters were Controlled and optimized to reduce , , and . Process optimization was performed by single and multi‐objective optimization.

Influence of genomic variations on glanders serodiagnostic antigens using integrative genomic and transcriptomic approaches.

Glanders is a highly contagious and life-threatening zoonotic disease caused by Burkholderia mallei (B. mallei). Without an effective vaccine or treatment, early diagnosis has been regarded as the most effective method to prevent glanders transmission. Currently, the diagnosis of glanders is heavily reliant on serological tests. However, given that markedly different host immune responses can be elicited by genetically different strains of the same bacterial species, infection by B. mallei, whose genome is unstable and plastic, may result in various immune responses. This variability can make the serodiagnosis of glanders challenging. Therefore, there is a need for a comprehensive understanding and assessment of how B. mallei genomic variations impact the appropriateness of specific target antigens for glanders serodiagnosis. In this study, we investigated how genomic variations in the B. mallei genome affect gene content (gene presence/absence) and expression, with a special focus on antigens used or potentially used in serodiagnosis. In all the genome sequences of B. mallei isolates available in NCBI's RefSeq database (accessed in July 2023) and in-house sequenced samples, extensive small and large variations were observed when compared to the type strain ATCC 23344. Further pan-genome analysis of those assemblies revealed variations of gene content among all available genomes of B. mallei. Specifically, differences in gene content ranging from 31 to 715 genes with an average of 334 gene presence-absence variations were found in strains with complete or chromosome-level genome assemblies, using the ATCC 23344 strain as a reference. The affected genes included some encoded proteins used as serodiagnostic antigens, which were lost due mainly to structural variations. Additionally, a transcriptomic analysis was performed using the type strain ATCC 23344 and strain Zagreb which has been widely utilized to produce glanders antigens. In total, 388 significant differentially expressed genes were identified between these two strains, including genes related to bacterial pathogenesis and virulence, some of which were associated with genomic variations, particularly structural variations. To our knowledge, this is the first comprehensive study to uncover the impacts of genetic variations of B. mallei on its gene content and expression. These differences would have significant impacts on host innate and adaptive immunity, including antibody production, during infection. This study provides novel insights into B. mallei genetic variants, knowledge which will help to improve glanders serodiagnosis.

A Decade of Biodiesel Industry in Brazil: An Analysis of Concentration and Market Structure from 2010 to 2021

This article analyzes the Brazilian Biodiesel Industry from 2010 to 2021 using the CR4, CR8 indexes, and the Herfindahl-Hirschman Index (HHI). The study uses data on biodiesel production from the National Agency for Petroleum, Natural Gas and Biofuels [ANP] database and analyzes the concentration of producers in the CR2, CR4, and CR8 categories through frequency distribution. The results show that the biodiesel industry has maintained a moderately low level of concentration, with small variations in CR4 and CR8. The analysis identifies the industry as an oligopoly plus oligopsony, or a bilateral oligopoly, with large producers dominating production and small producers having a negligible share.

First-Principles Investigation of Near-Surface Divacancies in Silicon Carbide.

The realization of quantum sensors using spin defects in semiconductors requires a thorough understanding of the physical properties of the defects in the proximity of surfaces. We report a study of the divacancy (VSiVC) in 3C-SiC, a promising material for quantum applications, as a function of surface reconstruction and termination with -H, -OH, -F and oxygen groups. We show that a VSiVC close to hydrogen-terminated (2 × 1) surfaces is a robust spin-defect with a triplet ground state and no surface states in the band gap and with small variations of many of its physical properties relative to the bulk, including the zero-phonon line and zero-field splitting. However, the Debye-Waller factor decreases in the vicinity of the surface and our calculations indicate it may be improved by strain-engineering. Overall our results show that the VSiVC close to SiC surfaces is a promising spin defect for quantum applications, similar to its bulk counterpart.

Fabrication, organoleptic evaluation and invitro characterization of cream loaded with Carica papaya seed extract.

The current study aimed to provide preliminary insights into potential biopharmaceutical applications of Carica papaya seed extract by evaluating its phytochemical and biological profiles. Furthermore, the study aimed to develop a stable oil-in-water (O/W) emulsion for the effective delivery of antioxidant-rich biologicals for cosmetic purposes. The hydroethanolic (ethanol 80%: 20% water) extract of C. papaya seeds was prepared via maceration technique. The chemical composition was carried out through preliminary phytochemical screening and estimation of total phenolic contents (TPC) and total flavonoid contents (TFC). The biological profile of the extract was explored using various in-vitro antioxidant methods. The homogenization procedure was used to create a cream of O/W and various tests were applied to assess the stability of the emulsion. By keeping the emulsion at different storage conditions (8 ± 0.5°C, 25 ± 0.5°C, 40 ± 0.5°C, and 40 ± 0.5°C ± 75% relative humidity [RH]) for a period of 28 days), the physical stability parameters of the emulsion, including pH, viscosity, centrifugation, phase separation, and conductivity, as well as rheological parameters and organoleptic parameters (odor, color, liquefaction, and creaming), were assessed. The preliminary phytochemical screening assay revealed the presence of various plant secondary metabolites including alkaloids, phenolics, flavonoids, tannins, saponins, and quinones. The extract was found to be rich in TPC and TFC. The invitro antioxidant study gave maximum activity in the DPPH method. The plant extract containing cosmetic cream exhibited remarkable stability during the entire research. Data gathered indicated that no phase separation or liquefaction was seen after the experimental period. Throughout the experimental period, a small variation in the pH and conductivity values of the base and formulation was seen. The findings suggest that the seed extract of C. papaya is a rich source of polyphenols with antioxidant potential and can be a promising alternative for the treatment of various ailments. The stability of emulsion paves the way for its utilization as a carrier for the delivery of 3% C. papaya seed extract and applications in cosmetics products.

Design and Implementation of a Camera-Based Tracking System for MAV Using Deep Learning Algorithms

In recent years, the advancement of micro-aerial vehicles has been rapid, leading to their widespread utilization across various domains due to their adaptability and efficiency. This research paper focuses on the development of a camera-based tracking system specifically designed for low-cost drones. The primary objective of this study is to build up a system capable of detecting objects and locating them on a map in real time. Detection and positioning are achieved solely through the utilization of the drone’s camera and sensors. To accomplish this goal, several deep learning algorithms are assessed and adopted because of their suitability with the system. Object detection is based upon a single-shot detector architecture chosen for maximum computation speed, and the tracking is based upon the combination of deep neural-network-based features combined with an efficient sorting strategy. Subsequently, the developed system is evaluated using diverse metrics to determine its performance for detection and tracking. To further validate the approach, the system is employed in the real world to show its possible deployment. For this, two distinct scenarios were chosen to adjust the algorithms and system setup: a search and rescue scenario with user interaction and precise geolocalization of missing objects, and a livestock control scenario, showing the capability of surveying individual members and keeping track of number and area. The results demonstrate that the system is capable of operating in real time, and the evaluation verifies that the implemented system enables precise and reliable determination of detected object positions. The ablation studies prove that object identification through small variations in phenotypes is feasible with our approach.

Dynamic stiffness matrix perturbation theory for time-varying structural analysis

Matrix perturbation theory (MPT) is widely used in sensitivity analysis and reanalysis of structural eigenvalue problems when small changes are imposed on parameters. However, the conventional MPT based on the finite element method is only applicable to the cases with small parameter variations, and it is difficult to avoid cumulative errors caused by multi-step perturbations. A key issue for the application of MPT is how to evaluate the error of perturbation solution and correct the results during the process of multi-step perturbation solution. By invoking the dynamic stiffness method (DSM), Wittrick-Williams algorithm, and the precise integration method (PIM), in this paper, we propose an improved method with controllable accuracy, self-checking and elimination of accumulated errors, referred to as the dynamic stiffness matrix perturbation theory (DSMPT). In present method, the rationality of the results can be estimated preliminarily according to dynamic stiffness equation, which is not present in the original MPT, can greatly enhance the accuracy of the perturbation results and evaluate the errors. Case studies prove that the DSMPT combined with PIM provides a convenient way to realize accuracy self-inspection and rectification of the perturbation results, and the maximum relative error of eigenvalue and response can be controlled to be smaller than 0.2% and 0.025%, respectively. Besides, DSMPT can also be applied to the analysis of coupled and nonlinear dynamic system with time-varying modal characteristics. Finally, a thermally-induced vibration analysis of tensegrity modules during space deployment is taken as an example to further illustrate the advancements of the DSMPT in solving time-varying dynamic problems. Results show that the DSMPT effectuate an almost sixfold reduction in computational time.

A novel dynamic load identification method based on improved basis functions and implicit Newmark-[formula omitted] for continuous system with unknown initial conditions

For structural design and optimization, precise knowledge of dynamic load on structures is essential. However, load identification can be sensitive to the initial conditions, and even small variations can lead to inaccurate results. The existing load identification methods always assume that the structure’s initial condition is zero, which is not the case in real engineering problems where structures are already in a state of vibration before load identification implementation. In this work, we propose a novel dynamic load identification method that takes into account unknown initial conditions of structures which is based on the improved basis functions and implicit Newmark-β method. The real vibration response is decomposed into forced vibration caused by dynamic load and free vibration caused by initial condition, which are characterized by the coefficients of undetermined orthogonal polynomials. Moreover, to overcome the ill-posedness problem arising from factors such as response noise and model error, we introduce the L1 regularization method. To validate the performance of the proposed method, numerical simulations and tests of load identification are conducted on simply supported beam. The effects of noise and model error on the load identification results are analyzed. Finally, we discuss the impact of modal truncation order and the effect of measurement points on load identification.

Effects of the Number of Classes and Pressure Map Resolution on Fine-Grained In-Bed Posture Classification

In-bed posture classification has attracted considerable research interest and has significant potential to enhance healthcare applications. Recent works generally use approaches based on pressure maps, machine learning algorithms and focused mainly on finding solutions to obtain high accuracy in posture classification. Typically, these solutions use different datasets with varying numbers of sensors and classify the four main postures (supine, prone, left-facing, and right-facing) or, in some cases, include some variants of those main postures. Following this, this article has three main objectives: fine-grained detection of postures of bedridden people, identifying a large number of postures, including small variations—consideration of 28 different postures will help to better identify the actual position of the bedridden person with a higher accuracy. The number of different postures in this approach is considerably higher than the of those used in any other related work; analyze the impact of pressure map resolution on the posture classification accuracy, which has also not been addressed in other studies; and use the PoPu dataset, a dataset that includes pressure maps from 60 participants and 28 different postures. The dataset was analyzed using five distinct ML algorithms (k-nearest neighbors, linear support vector machines, decision tree, random forest, and multi-layer perceptron). This study’s findings show that the used algorithms achieve high accuracy in 4-posture classification (up to 99% in the case of MLP) using the PoPu dataset, with lower accuracies when attempting the finer-grained 28-posture classification approach (up to 68% in the case of random forest). The results indicate that using ML algorithms for finer-grained applications is possible to specify the patient’s exact position to some degree since the parent posture is still accurately classified. Furthermore, reducing the resolution of the pressure maps seems to affect the classifiers only slightly, which suggests that for applications that do not need finer-granularity, a lower resolution might suffice.

A controllable humidity sensitivity measurement solution based on a pure FPI fiber tip and the harmonic Vernier effect

Hygroscopic films used to enhance the humidity sensitivity of fiber-optic sensors often experience material aging and nonlinear response issues. To address this issue, this study proposes a controllable humidity sensitivity measurement solution that offers a simple and cost-effective fabrication process without requiring humidity-sensitive material sensitization. The solution is based on a Fabry-Perot interferometer (FPI) fiber tip and the harmonic Vernier effect. By employing a cascade structure of single-mode fiber (SMF)-hollow core fiber (HCF)-no core fiber (NCF) with fiber grinding techniques, the FPI-based fiber sensing probe constructed a resonance cavity to detect small variations in air refractive index (RI) induced by humidity. A reference spectrum, which can flexibly control parameters, such as free spectral range (FSR), contrast, phase, and intensity, is superimposed onto the sensing spectrum acquired by the FPI fiber sensing tip. By extracting features from the internal envelope generated by the harmonic Vernier effect, the mapping relationship between the center wavelength of the inner envelope and the humidity is determined. The harmonic Vernier effect amplifies the humidity sensitivity of the fiber-optic FPI sensing tip, with the magnification factor determined by the optical path length (OPL) detuning of the created reference and sensing spectra. For the harmonic order j = 4, a humidity sensitivity of approximately 76.01 pm/% RH@ 24 ℃ was achieved without using hygroscopic material sensitization. The proposed solution offers numerous advantages and enables high-precision and high environmental reliability humidity monitoring.

Rainbow Colormaps: What are they good and bad for?

Guidelines for color use in quantitative visualizations have strongly discouraged the use of rainbow colormaps, arguing instead for smooth designs that do not induce visual discontinuities or implicit color categories. However, the empirical evidence behind this argument has been mixed and, at times, even contradictory. In practice, rainbow colormaps are widely used, raising questions about the true utility or dangers of such designs. We study how color categorization impacts the interpretation of scalar fields. We first introduce an approach to detect latent categories in colormaps. We hypothesize that the appearance of color categories in scalar visualizations can be beneficial in that they enhance the perception of certain features, although at the cost of rendering other features less noticeable. In three crowdsourced experiments, we show that observers are more likely to discriminate global, distributional features when viewing colorful scales that induce categorization (e.g., rainbow or diverging schemes). Conversely, when seeing the same data through a less colorful representation, observers are more likely to report localized features defined by small variations in the data. Participants showed awareness of these different affordances, and exhibited bias for exploiting the more discriminating colormap, given a particular feature type. Our results demonstrate costs and benefits for rainbows (and similarly colorful schemes), suggesting that their complementary utility for analyzing scalar data should not be dismissed. In addition to explaining potentially valid uses of rainbow, our study provides actionable guidelines, including on when such designs can be more harmful than useful. Data and materials are available at https://osf.io/xjhtf.

Aromaticity Reversal Induced by Vibrations in Cyclo[16]carbon.

Aromaticity is typically regarded as an intrinsic property of a molecule, correlated with electron delocalization, stability, and other properties. Small variations in the molecular geometry usually result in small changes in aromaticity, in line with Hammond's postulate. For example, introducing bond-length alternation in benzene and square cyclobutadiene by modulating the geometry along the Kekulé vibration gradually decreases the magnitude of their ring currents, making them less aromatic and less antiaromatic, respectively. A sign change in the ring current, corresponding to a reversal of aromaticity, typically requires a gross perturbation such as electronic excitation, addition or removal of two electrons, or a dramatic change in the molecular geometry. Here, we use multireference calculations to show how movement along the Kekulé vibration, which controls bond-length alternation, induces a sudden reversal in the ring current of cyclo[16]carbon, C16. This reversal occurs when the two orthogonal π systems of C16 sustain opposing currents. These results are rationalized by a Hückel model which includes bond-length alternation, and which is combined with a minimal model accounting for orbital contributions to the ring current. Finally, we successfully describe the electronic structure of C16 with a "divide-and-conquer" approach suitable for execution on a quantum computer.

Population-level call properties of endangered Dryophytes suweonensissensu lato (Anura: Amphibia) in South Korea.

Calling is one of the unique amphibian characteristics that facilitates social communication and shows individuality; however, it also makes them vulnerable to predators. Researchers use amphibian call properties to study their population status, ecology, and behavior. This research scope has recently broadened to species identification and taxonomy. Dryophytes flaviventris has been separated from the endangered anuran species, D. suweonensis, based on small variations in genetic, morphometric, and temporal call properties observed in South Korea. The Chilgap Mountain (CM) was considered as the potential geographic barrier for the speciation. However, it initiated taxonomic debates as CM has been hardly used and is considered a potential barrier for other species. The calls of populations from both sides are also apparently similar. Thus, to verify the differences in call properties among populations of D. suweonensis sensu lato (s.l.; both of the species), we sampled and analyzed call data from five localities covering its distribution range, including the southern (S) and northern (N) parts of CM. We found significant differences in many call properties among populations; however, no specific pattern was observed. Some geographically close populations, such as Iksan (S), Wanju (S), and Gunsan (S), had significant differences, whereas many distant populations, such as Pyeongtaek (N) and Wanju (S), had no significant differences. Considering the goal of this study was only to observe the call properties, we cautiously conclude that the differences are at the population level rather than the species level. Our study indicates the necessity of further investigation into the specific status of D. flaviventris using robust integrated taxonomic approaches, including genetic and morphological parameters from a broader array of localities.

Preparation of Novel Donepezil Long‐Acting Injectable, IVL3003, and its Pharmacokinetic Study via Subcutaneous Injection in Dogs and Monkeys

AbstractBackgroundDonepezil is a selective oral acetylcholinesterase inhibitor to treat Alzheimer’s disease (AD). Most patients with AD need help with taking oral donepezil for forgetfulness etc. Therefore, long acting injectables (LAIs) can improve patient’s compliance and quality of life. Because of narrow therapeutic window of donepezil, precisely size controlled microsphere technology is needed for drug release control. We have developed IVL3003 as a novel sustained release monodisperse subcutaneous (SC) LAI of donepezil for one month using IVL‐DrugFluidics® technology. The purpose of this study is to evaluate the physicochemical characteristics of IVL3003 and investigate the inter‐species pharmacokinetic profile differences in beagle and monkey models.MethodVarious one month formulations of donepezil microspheres were prepared by IVL‐DrugFluidics®. Characterization of IVL3003 was performed by scanning electron microscopy (SEM), and the size distribution was measured by laser particle size analyzer (PSA). The amount of donepezil and encapsulation efficiency (EE, %) was determined by HPLC. Size distributions were expressed as span value and CV(%). Non‐clinical models were used to optimize formulations and to evaluate their pharmacokinetic properties. IVL3003 was administered to male beagle dogs (n = 3/group, 11 months old, body weight 9∼11 kg) and male cynomolgus monkeys (n = 3/group, 30∼50 months old, body weight 2.6∼3.3 kg). Plasma concentrations were monitored for one month.ResultsThe SEM images of the microspheres appeared spherical and smooth. Donepezil was well encapsulated and homogeneously. The EE(%) of microspheres was 97.5% and the residual solvent was 232.2 ppm. The span value was 0.25 and CV(%) was 10.01%. The plasma concentrations of donepezil were maintained for 28 days without any initial burst and had small individual variation. There was no big difference between species in plasma concentration and showed a similar PK profile in both.ConclusionsAs we postulated, narrow distribution of the particles was led to improvement of controlled‐release characteristics. These results proved the excellence of IVL‐DrugFluidics® as an ideal microsphere fabrication method in manufacturing uniform and monodispersed microspheres. Long‐acting injectable, IVL3003 is expected to increase the compliance and the safety in the treatment of Alzheimer’s patients. We have filed Ph I for IVL3003 recently as the 1st donepezil containing LAI.

Lateral Variations in Teleseismic Attenuation of the Conterminous U.S. and New Insights Derived From Its Relationship to Mantle Seismic Velocity

AbstractMuch of our knowledge of the North American lithosphere comes from imaging seismic velocities. Additional constraints on the subsurface can be gained by studying seismic attenuation, which has different sensitivity to physical properties. We produce a model of lateral variations in attenuation across the conterminous U.S. by analyzing data recorded by the EarthScope Transportable Array. We divide the study area into 12 overlapping tiles and differential attenuation is measured in each tile independently; and twice for four of the tiles. Measurements are combined into a smooth map using a set of linear inversions. Comparing results for adjacent tiles and for repeated tiles shows that the imaged features are robust. The final map shows generally higher attenuation west of the Rocky Mountain Front than east of it, with significant small length scale variations superimposed on that broad pattern. In general, there is a strong anticorrelation between differential attenuation and shear wave velocities at depths of 80–250 km. However, a given change in velocity may correspond to a large or small change in attenuation, depending on the area; suggesting that different physical mechanisms are operating. In the western and south‐central U.S., as well as the Appalachians, velocity variations are large compared to attenuation changes, while the opposite is true in the north‐central and southeastern U.S. Calculations with the Very Broadband Rheology calculator show that these results are consistent with the main source of heterogeneity being temperature and melt fraction in the former regions and grain size variability in the latter ones.