Miracle-dz/UniFAR-FTUs huggingface dataset:
A Combined Rigid-Soft Thruster Based on Jetting Propulsion

Ahstract- A new underwater thrust device is proposed in this work that makes use of a soft outer structure in combination with a parallel linkage and driven by a classical actuator. By merging soft and rigid parts, we hope to increase the performance of pulsed jet propulsion that plays a crucial role in attitude control for AUVs. But also simpler models for design and control can be applied by this approach. A specific linkage design for actuation, along with two different soft structures (mantles) are introduced and evaluated in experiments which indicate efficient thrust creation. Particle Image Velocimetry (PIV) experiments show the formation of vortex rings that suggest efficient propulsion, whereby the wider and more flexible mantel is characterized by higher momentum and thrust.
Electrophoretic Deposited Mg Ion Functionalized Graphene Oxide-Based Ultrahighly Sensitive Humidity Sensor

Graphene oxide (GO) is a 2-D material widely known for its use as a humidity-sensitive material due to its hydrophilic nature. We report the ultrahigh relative humidity (RH) sensing properties of a GO-coated interdigital electrode (GO-IDE) capacitive sensor. The GO was coated directly on gold interdigital electrodes (IDE) via electrophoretic deposition (EPD) technique. The GO coating was functionalized with magnesium (Mg) ions during the deposition process by using Mg nitrate as an electrolyte. The deposited GO coating was characterized by field emission scanning electron microscopy (FESEM), Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), and contact angle measurements. The quality of the GO films and the hydrophilic nature of the film were confirmed via the characterizations. The sensor was tested at 10%–85% RH and demonstrated an average sensitivity of 283 093 pF/% RH, far exceeding that of similar GO-based capacitive sensors. In particular, the sensitivity was 530 800 pF/%RH for the RH range between 45% and 85%. The GO-IDE RH sensor also exhibited good stability, good repeatability, fast response time (51.9 s), and recovery time (4.6 s). The proposed sensor demonstrates the ultrahigh RH sensing properties of electrophoretic deposited GO and a method to functionalize GO coatings via introduction of specific electrolytes easily.
Using a Two-Stage HOG-SVM / CNN Model to Identify and Classify Forms of Brown Planthoppers

Approximately ten percent of rice crop yields throughout the Asia-Pacific region are reduced due to pests called brown planthoppers (BPH). We use a two-stage model to identify BPH from rice crop images and use these to determine the form of each BPH in the image, which has implications for predicting potential BPH outbreaks. Using a unique form of concentric Histograms of Oriented Gradient (HOG) descriptors and SVM classifiers, we can obtain to identify BPH with a recall of 96.56% and an FDR (false detection rate) of 2.91%, surpassing other efforts on similar datasets. Applying a VGG-19 CNN architecture, we achieved a classification accuracy of 92.76%for the three BPH forms. These outcomes provide a foundation for other efforts in pest identification and insect lifecycle detection.
Influence of Auditory Integrative Training on Casein Kinase 2 and Its Impact on Behavioral and Social Interaction in Children with Autism Spectrum Disorder

Considerable disturbances in post-translational protein phosphorylation have recently been discovered in multiple neurological disorders. Casein kinase-2 (CK2) is a tetrameric Ser/Thr protein kinase that phosphorylates a large number of substrates and contributes in several cellular physiological and pathological processes. CK2 is highly expressed in the mammalian brain and catalyzes the phosphorylation of a large number of substrates that are crucial in neuronal or glial homeostasis and inflammatory signaling processes across synapses. In this study, we investigated the impact of auditory integration therapy (AIT) for the treatment of sensory processing abnormalities in autism on plasma CK2 levels. A total of 25 ASD children, aged between 5 and 12 years, were enrolled and participated in the present research study. AIT was performed for two weeks, for a period of 30 min, twice a day, with a 3 h interval between sessions. Before and after AIT, the Childhood Autism Rating Scale (CARS), Social Responsiveness Scale (SRS), and Short Sensory Profile (SSP) scores were calculated, and plasma CK2 levels were assayed using an ELISA test. The CARS and SRS indices of autism severity improved as a result of AIT, which could be related to the decreased level of plasma CK2. However, the mean value of the SSP scores was not significantly increased after AIT. The relationship between CK2 downregulation and glutamate excitotoxicity, neuro-inflammation, and leaky gut, as etiological mechanisms in ASD, was proposed and discussed. Further research, conducted on a larger scale and with a longer study duration, are required to assess whether the cognitive improvement in ASD children after AIT is related to the downregulation of CK2.
Black carbon emissions in the rural Indian households: Sources, exposure, and associated threats

In this study, we present the indoor Black Carbon (BC) measurements with the help of Aethalometer (AE‐33) from various sites in Eastern India in a typical kitchen room situated in a rural area. Analysis was done on how various cooking activities performed in the home affected the indoor level of BC. The activities resulting in elevated indoor concentrations included three different periods of cooking breakfast, lunch, and dinner with three different kinds of kitchen structures open, semi‐open and closed kitchen. Close kitchen resulted in the highest BC concentrations, while open kitchen resulted in the lowest level. The burning of low‐grade fuels resulted in the largest increases in indoor BC concentration. We calculated the average BC concentrations for three distinct kitchens, with open kitchens emitting 260.14 μgm−3, semi‐open kitchens emitting 441.14 μgm−3, and closed kitchens emitting 477.25 μgm−3. The biomass burning % was high during the entire research. Because BC mass concentration was found to be high in indoor sampling, as a result, the health risk assessment is also considered to be high in all types of kitchens. As people spend a significant amount of time at home, especially in a future where remote work is anticipated to be easier, finding the activities, sources, and health effects that increase indoor pollution is vital to lowering indoor exposure.
Angiogenesis in the Outer Membrane of Chronic Subdural Hematomas through Thrombin-Cleaved Osteopontin and the Integrin α9 and Integrin β1 Signaling Pathways

Background: A chronic subdural hematoma (CSDH) is considered to be an inflammatory and angiogenic disease. The CSDH outer membrane, which contains inflammatory cells, plays an important role in CSDH development. Osteopontin (OPN) is an extracellular matrix protein that is cleaved by thrombin, generating the N-terminal half of OPN, which is prominently involved in integrin signal transduction. We explored the expression of the N-terminal half of OPN in CSDH fluid and the expression of integrins α9 and β1 and the downstream components of the angiogenic signaling pathways in the outer membrane of CSDHs. Methods: Twenty samples of CSDH fluid and eight samples of CSDH outer membrane were collected from patients suffering from CSDHs. The concentrations of the N-terminal half of OPN in CSDH fluid samples were measured using ELISA kits. The expression levels of integrins α9 and β1, vinculin, talin-1, focal adhesion kinase (FAK), paxillin, α-actin, Src and β-actin were examined by Western blot analysis. The expression levels of integrins α9 and β1, FAK and paxillin were also examined by immunohistochemistry. We investigated whether CSDH fluid could activate FAK in cultured endothelial cells in vitro. Results: The concentration of the N-terminal half of OPN in CSDH fluid was significantly higher than that in the serum. Western blot analysis confirmed the presence of these molecules. In addition, integrins α9 and β1, FAK and paxillin were localized in the endothelial cells of vessels within the CSDH outer membrane. FAK was significantly phosphorylated immediately after treatment with CSDH fluid. Conclusion: Our data suggest that the N-terminal half of OPN in CSDH fluid promotes neovascularization in endothelial cells through integrins α9 and β1. The N-terminal half of OPN, which is part of the extracellular matrix, plays a critical role in the promotion of CSDHs.
Performance Investigation of Small-World Networks for 5G Mobile Communication Networks

5G mobile networks require network slicing of physical infrastructure to change how service providers deliver and defend services. For node allocation and connection establishment, a fast and secure slicing technique is used, which requires many domain applications across the network. A large number of studies used a scale-free network (SFN) model for the core network, then used network slicing to allocate resources to various applications. The feasibility of using a small-world network (SWN) as an alternative to a scale-free network is investigated in this work. The service request network and the core network have both been modeled as small-world networks, and performance measurement has been carried out with regard to the allocation of resources. Performance metrics such as service revenue and acceptance ratio are used to assess the effectiveness of the proposed approach. The small-world network's performance advantage is compared to that of the scale-free network under different network settings.
On the accuracy of the uniform geometrical theory of diffraction close to a 90° wedge

Scattering of a plane incident wave by a perfectly conducting 90° wedge is calculated by the uniform geometrical theory of diffraction (UTD) and the exact series expansion of cylindrical wave functions. The results demonstrate that UTD expressions can be used for engineering purposes even in the extreme near zone where one would not expect the asymptotic theory to work
Subgroup Analysis with Time‐to‐Event Data Under a Logistic‐Cox Mixture Model

Subgroup detection has received increasing attention recently in different fields such as clinical trials, public management and market segmentation analysis. In these fields, people often face time‐to‐event data, which are commonly subject to right censoring. This paper proposes a semiparametric Logistic‐Cox mixture model for subgroup analysis when the interested outcome is event time with right censoring. The proposed method mainly consists of a likelihood ratio‐based testing procedure for testing the existence of subgroups. The expectation–maximization iteration is applied to improve the testing power, and a model‐based bootstrap approach is developed to implement the testing procedure. When there exist subgroups, one can also use the proposed model to estimate the subgroup effect and construct predictive scores for the subgroup membership. The large sample properties of the proposed method are studied. The finite sample performance of the proposed method is assessed by simulation studies. A real data example is also provided for illustration.
Multi-Layer Observability for Fault Localization in Microservices Based Systems

For cloud native microservice monitoring and incident detection, companies and developers tend to largely focus only on generating logs, metrics, and traces at the application layer. However, in order to enable precise fault localization, it is necessary to access and correlate logs pertaining to a single end-user request across non-application layers as well, such as the load balancer at the front and the database at the back end. In this paper, we propose an observability library and an observability platform that addresses this problem and generates alerts that precisely point to fault locations. Logs at multiple layers are tagged with a common request identifier that helps in performing correlation. The observability platform is architected such that it lends itself to extensions to catch multiple types of errors and issues. The proposed observability platform has been tested on five open source benchmarks. The results confirm that our tool can be used deterministically and precisely to detect elusive issues.
A Dynamic Nonlinear Impedance Model of a Single Photon Avalanche Diode

A nonlinear LCR parallel circuit model of a single photon avalanche diode (SPAD) is derived from a Lienard-type nonlinear differential equation. The resistance and the inductance associated with avalanche multiplication (AM) are time-dependent and governed by the avalanche time constant due to the impact ionization ratio. Time dependences of current, voltage, resistance, and inductance in the model are analyzed by numerically solving the equation. During the initial generation of a Geiger-mode pulse, when the voltage reaches the breakdown voltage, the resistance diverges to limit the maximum current and the inductance reduces to give the maximum speed of the voltage variation with the avalanche time constant. In the frequency domain, avalanche impedance (AI) spectra are obtained as a ratio of voltage and current spectra calculated as Fourier transforms of the time domain signals. The AI spectra exhibit a negative-resistance and an inductance. An analytic expression for the impedance is derived and found to comprise only a quenching resistance and a stray capacitance as indicated by a constant radius of a Nyquist plot. Finally, the present model is shown to incorporate the models of impact-ionization-avalanche transit-time (IMPATT) diodes when a very small-signal limit is assumed.
MhaGNN: A Novel Framework for Wearable Sensor-Based Human Activity Recognition Combining Multi-Head Attention and Graph Neural Networks

Obtaining robust feature representations from multi-position wearable sensory data is challenging in human activity recognition (HAR) since data from different positions can have unordered implicit correlations. Graph neural networks (GNNs) represent data as structured graphs by mining complex relationships and interdependency via message passing between the nodes of graphs. This article proposes a novel framework (MhaGNN) that combines GNNs and the multi-head attention (MHA) mechanism, aiming to learn more informative representations for multi-position HAR tasks. The MhaGNN framework takes the sensor channels from multiple wearing positions as nodes to construct graph-structured data from the spatial dimension. Besides, the MHA mechanism is introduced to complete the message passing and aggregation of the graphs for spatial-temporal feature extraction. The MhaGNN learns correlations among sensor channels that can be used as compensatory features together with the captured features from each single sensor channel to enhance HAR. Experimental evaluations on three publicly available HAR datasets and a ground-truth dataset demonstrate that our proposed MhaGNN achieves state-of-the-art recognition performance with the captured rich features, including PAMAP2, OPPORTUNITY, MHEALTH, and MPWHAR.
Pixel-based unique phenological feature composite method: tackle the challenges of Spartina alterniflora identification and salt marsh classification in mixed vegetations area

Abstract. Coastal salt marshes are valuable wetland ecosystems, and obtaining accurate information on their spatial and temporal distribution is crucial. However, due to the strong spectral similarity among various types of salt marshes, distinguishing them is difficult, especially in areas with mixed salt marsh growth. In this study, we developed a pixel-based unique phenological feature composite method (PUpf-CM). First, we identified a unique phenological period for each type of salt marsh by analyzing the normalized difference vegetation index time-series of Spartina alterniflora (S. alterniflora) and native salt marshes [Suaeda salsa (S. salsa), Phragmites australis (P. australis), and Imperata cylindrica (I. cylindrica)] in Yancheng National Nature Reserve, Jiangsu Province, China. Then, we generated a composite image for each unique phenological period, maximizing the spectral separability between the corresponding salt marsh and background species. Second, we used the composite images obtained at the unique phenological period of S. alterniflora as input to the random forest classifier, achieving high precision identification of S. alterniflora. Compared with the previously developed pixel-based PUpf-CM, the overall accuracy (OA) of PUpf-CM was 98.26% to 99.42%, and the Kappa was 0.940 to 0.975, indicating an improvement of 0.87% to 4.94% and 0.031 to 0.179, respectively. Finally, we tested the possibility of applying PUpf-CM to salt marsh classification by stacking four composite images obtained at different unique phenological periods. We found that the maximum spectral separability was achieved for the combination of four unique phenological periods, and the OA and Kappa of the PUpf-CM-based salt marsh classification reached 97.54% and 0.969, respectively.
Aeroelastic Analysis of Membrane Wings

The physics of flapping is very important in the design of agile MAVs. Such MAVs have to efficiently harness thrust and lift from flapping while maintaining a controllable configuration. The aerodynamics of a pitching and plunging flexible wing is simulated using a 3-D, free wake, vortex lattice method (VLM), and structural characteristics of the wing is simulated as a membrane supported by a rigid frame. The aerodynamics is validated by comparing the results from the VLM model for constant angle of attack flight and periodic plunging flight with analytical results, existing 2-D VLM and doublet lattice method. The aeroelasticity is studied by varying parameters affecting the flow as well as parameters affecting the structure. The results show that the aerodynamic loads increase for increased deformation, and vice-versa. For a step change in angle of attack, the membrane oscillates about the steady state deformation, influence the loads and eventually converges to steady state airloads and structural deformations. For prescribed oscillations in plunge, the membrane deformations and loads transition into a periodic steady state which lead to thrust. The thrust increases with deformation and thus the flexibility of the structure is beneficial in this case. Aeroelastic tailoring of the structure to optimize the efficiency of flapping is recommended for design of next generation MAVs.
COMPETITIVE ADVANTAGE AS A MEDIATING EFFECT IN THE IMPACT OF GREEN INNOVATION AND FIRM PERFORMANCE

The objective of this study was to measure or assess competitive advantage in mediating the effect of green innovation on firm performance. The data in the study were PROPER companies for the 2010-2018 period and the sample was selected using purposive sampling so that 369 companies were obtained. The results of this study proved that green innovation had a positive effect on competitive advantage, the competitive advantage had a positive effect on firm performance, green innovation had no effect on firm performance, and competitive advantage mediated the effect of green innovation on firm performance. In reducing environmental problems, companies can apply green innovation to increase the company’s competitive advantage and firm performance.
An Evaluation for the Appropriate Level of Use Concerning PHM Applications on Maintenance Activities

It is often found that acquisition programs containing scope for Prognostics & Health Management (PHM) requirements will attempt to broadly apply PHM across the entire system, resulting in a low level of depth and detail, failed customer and leadership expectations, and often leading to the partial or entire removal of the PHM effort. However, PHM can be successfully implemented by properly managing expectations and requirements for maintenance. This paper presents four hypothetical case studies for different maintenance philosophies, the types of technologies which can be applied to each philosophy, and the level of which they should be applied to the system. The first case study concludes most components can be “Flown to Failure”, driven through technical publications. The second case study considers RCM evaluating how the Maintenance Steering Group 3 (MSG-3), can be used to enhance Ao. The third case study evaluates CBM and how support equipment can be used. The final case study evaluates CBM+, and how PHM, as a technology, can be used to improve Ao. Lastly, each case study is evaluated against affordability of the platform. The order of precedence, the applicable technology insertions, and the degree of reactive/proactive considerations is also presented.
New Frameshift in Pax6 And Missense Mutation in Eya1 Gene Found by Whole Exome Sequencing Associated with Severe Eye Impairments in an Iranian Family

Introduction: Previous studies have examined the impacts of PAX6 mutations on a wide range of eye impairments. Because of the PAX6 protein’s binding functions, alterations in its structure may prevent it from correctly connecting with the DNA molecule. 1.2. Materials and Methods: Whole Exome Sequencing [WES] was used to perform in vitro analysis on a 30-year-old woman who sent to a genetic laboratory for PND. Her spouse had clear serious vision problems. To determine the genotypes, both her spouse and her husband’s sister underwent mutation confirmation tests. In silico predictions were also conducted using SWISS-MODEL, ProSA, Molprobity, and SuperPose.
Investigating the Performance of LoRa Communication for Nominal LoRa and Interleaved Chirp Spreading LoRa

The latest communication technology in Low Power Wide Area Networks (LPWAN) is LoRa. It prioritizes long-range transmission with a high detecting sensitivity and can operate efficiently below noise interference or noise floor. LoRa employs chirp spread spectrum modulation with six spreading factors; the rate of these chirps varies based on the value of the spreading factors. Increasing the spreading factor extends the range of LoRa communications at the cost of a decrease in the data transmission rate. Interleaved chirp spreading LoRa (ICS-LoRa) is a novel multi-dimensional space that attempts to improve the LoRa network”s transmission rate. In this paper, we propose a system with two transmitters and receivers, one for Nominal LoRa and one for ICS-LoRa, that may encode the same symbols through Nominal LoRa and ICS-LoRa and utilize this system to investigate and demonstrate that ICS-LoRa receives the same symbols as Nominal LoRa. In our simulation, we employ three distinct sets of symbols with various spreading factors. At the receiver side, Our symbols detect well for both Nominal LoRa and ICS-LoRa, and we observe that the FFT amplitude decreases by about 50% when ICS-LoRa modulation is used.