Miracle-dz/UniFAR-FTUs huggingface dataset:
Perturbations of Charged Droplet Trajectories Caused by Induced Target Corona: LDA Analysis

During electrostatic spraying, droplet deposition can inherently become limited by gaseous discharges induced to flow between earthed target points and the nearby charged-spray cloud as a result of electric-field intensification at the points caused by the cloud's space charge (c.a. 25μC/m3). This problem is distinct from back-ionization, and it has profound consequences for electrostatic crop spraying of foliar tips. Laser Doppler anemometry was developed to determine the spatial extent to which the counterflow of ions from earthed points interacts with the spray cloud and how the trajectories of approaching charged droplets are consequently altered. In the vicinity of cylindrical, spherical, and disk targets the 2-dimensional velocity fields were measured for conductive droplets of 30-50μm dia. , of up to -6 mC/kg charge level, delivered by aerodynamic entrainment at 3 m/s. While electrostatic forces were shown to greatly enhance droplet motion toward the various smooth targets, introduction of a 2 cm target point not only negated the electrostatic-deposition benefit, but its action in some locations increased droplet repulsion from the targets.
Dynamically-Optimal Switching Patterns for PWM Inverter Drives (for Minimization of the Torque and Speed Ripples)

Several optimization criteria exist for pulse width modulation (PWM) inverter control as applied to AC motor drives. In this paper, drive dynamics, i.e. torque and speed ripples, are analyzed and optimized. As a representative example, the PWM inverter control is assumed to have three and five degrees of freedom. These degrees of freedom are realized by so called switching angles which determine the inverter output voltage waveshape. This voltage is applied to an induction motor. Analysis is executed for a steady state approximation (using Fourier analysis) as well as for the rigorous fifth order dynamic equations. The results are compared. The optimal solution for the switching angles as a function of the voltage fundamental is shown. The location of the optima is compared with the efficiency optimal control presented in an earlier paper. The paper should serve as a means to compare results for different optimization criteria in order to reach an overall optimum as the best compromise between the results gained from the different optimization methods.
Transfer learning for face anti-spoofing detection

In recent years, the demand for facial biometric authentication services has increased dramatically. Also, the efforts to cheat this type of system have become more common. In this paper, we propose a single shot CNN-based solution for the face anti-spoofing problem. We trained a deep learning model using transfer learning from a pre-trained VGG16 model. After some pre-processing we rely solely on the network to classify an image. We evaluate several implications of the preprocessing of data, investigate the implications of different amounts of background included in the picture, and the effect of data subsampling. Additionally, we analyze what happens when we sub-sample the training data. We evaluate our results in four publicly available datasets, drawing some insights on the results by using the Grad-CAM algorithm. Our approach is competitive when compared with similar methods. Moreover, we achieved our results while training with a fraction of the original datasets, enforcing that experiments can be run much quicker without sacrificing accuracy.
MsDroid: Identifying Malicious Snippets for Android Malware Detection

Machine learning has shown promise for improving the accuracy of Android malware detection in the literature. However, it is challenging to (1) stay robust towards real-world scenarios and (2) provide interpretable explanations for experts to analyse. In this article, we propose MsDroid, an Android malware detection system that makes decisions by identifying malicious snippets with interpretable explanations. We mimic a common practice of security analysts, i.e., filtering APIs before looking through each method, to focus on local snippets around sensitive APIs instead of the whole program. Each snippet is represented with a graph encoding both code attributes and domain knowledge and then classified by Graph Neural Network (GNN). The local perspective helps the GNN classifier to concentrate on code highly correlated with malicious behaviors, and the information contained in graphs benefit in better understanding of the behaviors. Hence, MsDroid is more robust and interpretable in nature. To identify malicious snippets, we present a semi-supervised learning approach that only requires app labeling. The key insight is that malicious snippets only exist in malwares and appear at least once in a malware. To make malicious snippets less opaque, we design an explanation mechanism to show the importance of control flows and to retrieve similarly implemented snippets from known malwares. A comprehensive comparison with 5 baseline methods is conducted on a dataset of more than 81K apps in 3 real-world scenarios, including zero-day, evolution, and obfuscation. The experimental results show that MsDroid is more robust than state-of-the-art systems in all cases, with 5.37% to 49.52% advantage in F1-score. Besides, we demonstrate that the provided explanations are effective and illustrate how the explanations facilitate malware analysis.
Production Process of D-Nose Panel Components for A-350 Airplane Wings, PT Dirgantara Indonesia

Airplanes are one of the most frequently used forms of transportation globally. The aircraft's ability to mobilize between continents and its near-sound speed makes it an excellent cross-country travel choice. This paper discussed the production process of D-nose panel components for A-350 airplane wing in PT. Dirgantara Indonesia. PT. Dirgantara Indonesia (Persero) or commonly referred to as PTDI, is one of the aircraft companies in Asia with core competencies in aircraft design and development, aircraft structure manufacturing, aircraft production, and aircraft services for civil and military from light and medium aircraft. The main components of the aircraft consist of the engine, propeller (power plant), fuselage, wing, tail (empennage) and landing gear. The components that make up the wing of the aircraft consist of a fuel tank, wing flap, spar, aileron, skin, ribs, stringer, wingtip, as well as external parts such as the D-nose panel. The process from beginning to end of the D-nose panel component requires several stages. Finally, this process also checks data from existing component documents and ends with the final stamp as a sign that the entire process for making the D-nose panel component has been completed.
Risk Aversion and Entrepreneurial financing Behavior in presence of Self-Efficacy and Cultural Values

Risk aversion is adopted as a valuable and workable access to understand the capitalist financing behaviour. Other variables also have been widely examined to check the results on entrepreneurial financing behavior. Yet, how risk aversion affects entrepreneurial financing behavior with mediating effect of self-efficacy and moderating effects of living style values. The basic aim of this paper to build the integrated model, based on mediating effect of self-efficacy to examine the straight and un-straight result of risk aversion on capitalist financing behavior. In last paper first author uses demographic analysis to study and underlying the mediating force of self-efficacy and moderating effects of cultural values. Then implement correlation and regression analysis to explore the relationship of the variables. In this struggle 371 survey responses gathered from business degree students to show the analysis. The mediating effect of self-efficacy is directly and positively linked with entrepreneurial financing behavior. There is a straight relationship and un-straight relationship of risk hatred and entrepreneurial financing behavior also exists through the mediation effect of self-efficacy. Doubling the value of this sample size can be selected from various educational backgrounds to enhance the significance of this survey. Risk aversion is directly acting upon the entrepreneurial financing behavior.
Investigating the predictors of Employee Work Engagement during COVID-19 Pandemic

The COVID-19 Pandemic has revealed organizations’ vulnerability and increased the need to ensure employee work engagement (WKE). Utilizing the conservation of resources theory (COR), this study investigates the influence of friends and family supports (FFS), employee resilience (ERS), self-efficacy (SFE), and supervisors’ supports (SST) on employees’ work engagement. Data was collected from 259 knowledge workers in Malaysia and analyzed using Smart PLS-SEM 3. The findings revealed that ERS, SFE
Bias Detection for Customer Interaction Data: A Survey on Datasets, Methods, and Tools

With the increase in usage of machine learning models within many different aspects of customer interactions, it has become very clear that bias detection within associated customer interaction datasets has led to a critical focus on issues such as the identification of bias prior to model building, lack of understanding and transparency within models, and ultimately the prevention of biased predictions or classifications. This has never been more important since the introduction of the EU General Data Protection Regulation (GDPR) and the associated rule of “right of explanation”. In this paper, we survey the state of the art for bias detection, avoidance and mitigation within datasets, and the associated methods and tools available. Our purpose is to establish an understanding of how established customer interaction-based use cases can utilise these techniques. The focus is primarily on tackling the bias in unstructured text data as a pre-process prior to the machine learning model training phase. We hope that this research encourages the further establishment of responsible usage of customer interaction datasets to allow the prevention of bias being introduced into machine learning pipelines and to also allow greater awareness of the potential for further research in this area.
Factors Influencing Community Behavior towards SIKER: An Extension of the TAM model

Sistem Kerja (SIKER) is a system that allows the public to make yellow cards/AK1, join job training, look for job vacancies and invite for interviews. In its application, not many public of Semarang city have adopted SIKER even though the city of Semarang is ranked 2nd in the excellent category in Central Java province in the e-government rankings. This study will observe the effect of perceived usefulness, perceived ease of use, facilitating conditions, and social influence on the behavioral intention of the public of Semarang city in utilizing SIKER, and the variables age and perceived trust will be used as intervening variables. This study uses a quantitative descriptive method with a data analysis approach using Partial Least Square Structural Equation Modeling (PLS-SEM) by utilizing SmartPLS version 3.2. 9 tools. A number of 330 valid respondents participated in this current study. The results of this study show that the factors that influence the behavioral intention of the public of Semarang are perceived trust, perceived usefulness, facilitating conditions, and age with a negative direction. Perceived trust is proven to be the biggest factor influencing the behavioral intention to use SIKER services. Whereas the intervening effect of perceived trust is proven to intervene with perceived ease of use and perceived usefulness towards behavioral intention with the intervening effects of full mediation and partial mediation. However, for age, it is proven not to intervene with no intervening effect and unmediated effect.
Fast blow-up mechanisms for sign-changing solutions of a semilinear parabolic equation with critical nonlinearity

We consider the semilinear heat equation with critical power nonlinearity. Using formal arguments based on matched asymptotic expansion techniques, we give a detailed description of radially symmetric sign‐changing solutions, which blow‐up at x = 0 and t = T < ∞, for space dimension N = 3,4,5,6. These solutions exhibit fast blow‐up; i.e. they satisfy limt↑T (T – t)1/(p‐1)u(0, t) = ∞. In contrast, radial solutions that are positive and decreasing behave as in the subcritical case for any N ⩾ 3. This last result is extended in the case of exponential nonlinearity and N = 2.
Effect of Profitability, Firm Size and Liquidity on Firm Value With Capital Structure as Intervening Variable

The purpose of this research was to examine the role of capital structure in mediating the effect of profitability, firm size, and liquidity towards firm value. The object of this research in manufacturing companies which is listed in the Indonesia Stock Exchange. The data used are secondary data from the 2017-2020 annual financial statements. The collection technique in this research was purposive sampling while the data analysis techniques used in this research is multiple regression analysis and hypothesis testing. The analysis results showed that the profitability has a negative effect toward capital structure, firm size has a positive effect toward capital structure, while liquidity has a negative effect toward capital structure. Meanwhile the profitability has a positive effect toward firm value, firm size has a negative effect toward firm value, while liquidity has no effect toward firm value. Capital structure is able to mediate the effect of profitability, firm size and liquidity towards firm value.
Effect of continuous post-operative lidocaine infusion in an enhanced recovery program on opioid use following gynecologic oncology surgery

Objective To determine the effectiveness of implementing an Enhanced Recovery After Surgery (ERAS) program, including continuous intraoperative and postoperative intravenous (IV) lidocaine infusion, on perioperative opioid use. Methods This was a single-institution retrospective pre- post- cohort study. Consecutive patients undergoing planned laparotomy for known or potential gynecologic malignancy were identified after implementation of an ERAS program and compared to a historical cohort. Opioid use was calculated as morphine milligram equivalents (MMEs). Cohorts were compared using bivariate tests. Results A total of 215 patients were included in the final analysis, 101 patients received surgery before ERAS implementation and 114 received surgery after. A reduction in total opioid use was observed in ERAS patients compared with historical controls (MME 26.5 [9.6–60.8] versus 194.5 [123.8–266.8], p<0.001). Length of stay (LOS) was reduced by 25% in the ERAS cohort (median 3 days, range 2–26, versus 4 days, range 2–18; p<0.001). Within the ERAS cohort, 64.9% received IV lidocaine for the planned 48 hours, and 5.6% had the infusion discontinued early. Within the ERAS cohort, patients who received IV lidocaine infusion used less opioids compared to those who did not (median 16.9, range 5.6–55.1, versus 46.2, range 23.2–76.1; p<0.002). Conclusion An ERAS program including a continuous IV lidocaine infusion as the opioid-sparing analgesic strategy was noted to be safe and effective, leading to decreased opioid consumption and LOS compared with a historic cohort. Additionally, lidocaine infusion was noted to decrease opioid consumption even among patients already receiving other ERAS interventions.
Macrophage-Related Testicular Inflammation in Individuals with Idiopathic Non-Obstructive Azoospermia: A Single-Cell Analysis

Male infertility is a global issue that seriously affects reproductive health. This study aimed to understand the underlying causes of idiopathic non-obstructive azoospermia (iNOA), which is a type of male infertility with unknown origins that accounts for 10–15% of cases. By using single-cell analysis techniques, we aimed to uncover the mechanisms of iNOA and gain insight into the cellular and molecular changes in the testicular environment. In this study, we performed bioinformatics analysis using scRNA-seq and microarray data obtained from the GEO database. The analysis included techniques such as pseudotime analysis, cell–cell communication, and hdWGCNA. Our study showed a significant difference between the iNOA and the normal groups, indicating a disorder in the spermatogenic microenvironment in iNOA. We observed a reduction in the proportion of Sertoli cells and blocked germ cell differentiation. Additionally, we found evidence of testicular inflammation related to macrophages and identified ODF2 and CABYR as potential biomarkers for iNOA.
The Vanilloid (Capsaicin) Receptor TRPV1 in Blood Pressure Regulation: A Novel Therapeutic Target in Hypertension?

Today’s sedentary lifestyle with excess food and little exercise increases the number of people with hypertension, a major risk factor for stroke. New knowledge of treatments in this field is of utmost importance. In animal experiments, the activation by capsaicin of TRPV1-expressing sensory afferents evokes a drop in blood pressure by triggering the Bezold–Jarisch reflex. In hypertensive rats, capsaicin reduces blood pressure. Conversely, genetic ablation of the TRPV1 receptor results in elevated nocturnal (but not diurnal) blood pressure. These observations imply a therapeutic potential for TRPV1 activation in hypertensive patients. Indeed, in a major epidemiological study involving 9273 volunteers, dietary capsaicin was found to lower the risk for hypertension. New research indicates that the mechanism of action of capsaicin on blood pressure regulation is far more complex than previously thought. In addition to the well-recognized role of capsaicin-sensitive afferents in blood pressure regulation, TRPV1 seems to be expressed both in endothelial cells and vascular smooth muscle. This review aims to evaluate the therapeutic potential of TRPV1-targeting drugs in hypertensive patients.
Finite-Time Tracking Control With Fast Reaching Condition for Disturbed More Electric Aircraft Direct Current Microgrid With Constant Power Loads

Future more electric aircraft (MEA) can be seen as a direct current microgrid (dc MG). While dc MG can generally achieve safe, efficient, and reliable operation of the system, constant power loads (CPLs), unknown resistive loads, dc source voltage variations, and disturbance inputs might degrade the overall stability and performance if they are not compensated in the control design procedure. In this article, a fast-reaching condition-based sliding mode control (SMC) is proposed for the dc MG. The fast-reaching law contains two terms that improve the transient performance by forcing the system states to reach a sliding surface with two different rates. This attribute enhances the speed of convergence of the states to the sliding surface compared to conventional SMC. Additionally, the suggested method is resilient to system parameter uncertainties, which is indispensable in practice. The proposed controller is implemented to a dc MG that is supplied by an uncertain dc source and feeds CPLs and resistive load with time-varying power and resistance. OPAL RT results illustrate the robustness and fast convergence of the planned SMC controller.
The Effect of Loneliness on Non-Suicidal Self-Injury Behavior in Chinese Junior High School Adolescents: A Moderated Mediation Model

Purpose This study explore the interaction between loneliness and non-suicidal self-injury behaviors (hereinafter “NSSI”), and to further examine the mediating role of self-control and the moderating role of social connection. Methods A total of 414 junior high school students (age 14.05±0.84) in Sichuan province in China were investigated on their loneliness, self-control, social connection and NSSI by questionnaire. Results (1) there was a significant positive correlation between loneliness and NSSI; (2) self-control played a mediating role in the relationship between loneliness and NSSI; and (3) after controlling for gender, family structure, and family economic level, the social connectedness played a moderating role in the relationship between loneliness and NSSI, as well as between self-control and NSSI. Conclusion The results verify the relationship between loneliness and NSSI, expands and deepens the internal logical relationship between them, and provides a reference that can be used in the future for the prevention and intervention of NSSI in adolescents.
The evolving role of JAK inhibitors in the treatment of inflammatory bowel disease

ABSTRACT Introduction Janus Kinase inhibitors (JAKi) are a new class of oral therapies for the treatment of moderate-severe ulcerative colitis with additional potential for the treatment of moderate-severe Crohn’s disease. In contrast to biologic therapies JAKi provide the opportunity for non-immunogenic once or twice daily oral therapies. Areas covered Janus Kinase inhibitors for the treatment of ulcerative colitis and Crohn’s disease based on mechanism of action, pharmacokinetics, clinical trial and real-world data regarding safety and efficacy; focusing on regulatory approvals in the U.S. and Europe. Expert opinion Janus Kinase inhibitors are considered among the ‘advanced therapies’ for IBD and are approved for the treatment of moderate to severe ulcerative colitis in adults with pending approvals for Crohn’s disease in the U.S. JAKi offer non-immunogenic, oral options for patient not responding to other conventional agents but, have been ‘restricted’ by the FDA to patients with inadequate response to TNF blockers. JAKi offer rapidly acting oral alternatives to biologic agents for moderate-severe ulcerative colitis where the risks of cardiovascular and thrombotic events noted in rheumatoid arthritis have not been observed in IBD clinical trials. Nevertheless, monitoring of infections (primarily herpes zoster) and risk factors for cardiovascular and thrombotic complications is appropriate.
Streamflow–concentration relationships of surface water in the Choapa basin: historical analysis and projections under climate change

ABSTRACT The use of concentration–streamflow (C–Q) relationships is presented as a novel approach for studying climate change effects on water quality. Based on data from nine monitoring stations in the Choapa basin, north-central Chile, constituent behaviours were classified as constancy, enrichment or dilution. Constancy was shown for B, As, and Cu. Dilution and enrichment relationships were observed at some sites. Electrical conductivity and major ions showed dilution behaviour, with Na+, Mg2+, Cl−, SO4 −2 and K+ showing greater variability in response to streamflow changes. Fe, Al, Mn and Zn presented enrichment behaviour, with Al and Fe showing greater variability. Based on historical C-Q relationships and available projections of streamflow variations under climate change, the change in constituent concentrations from 2010 to 2040 likely will not exceed ±10% with respect to the historical average, and ±15% from 2040 to 2070. In particular, Fe and Mn require special attention in the future.