Miracle-dz/UniFAR-FTUs huggingface dataset:
A Fast Calculation Method for Rectifier Matrix Model and Its Application in Optimised Control of SAPF for Network-wide Harmonic Suppression

The conventional control strategies of shunt active power filter (SAPF) normally focus on the compensation for local non-linear loads, which may become uneconomical with a number of distributed non-linear loads. For an optimised network-wide harmonic suppression method, harmonic power flow calculation is the basis, and non-linear load modelling is the key which affects the accuracy and efficiency. First, this study discussed an accurate, but complicated non-linear load model, the coupled admittance matrix model for a typical harmonic source, phase-controlled rectifier, in detail, and proposed a fast calculation method which can simplify the calculation process evidently and explain the variation rules of model parameters clearly. Second, the main harmonic coupling characteristics of the rectifiers are analysed based on the calculation method, thus the rectifier matrix model is simplified and then an impedance-based network harmonic model for networks with distributed rectifiers is established. Finally, based on the network model, a promising control strategy of SAPF for network-wide harmonic suppression is presented, by which network parameters are acquired by online impedance measurement technique and good compensation performance is assured by the proposed network model. Experimental results and simulations are provided to validate the effectiveness of the proposed methods.
Electrospun InSnMgO Nanofibers Channel to Construct 3D Interface in a Synaptic Transistor for Neuromorphic Electronics

Synaptic electronics based on three-terminal transistors can become a promising technology in the neuromorphic field. However, most synaptic transistors are composed of layer-by-layer structures and thin films. Due to the large power consumption and operating voltage, it is difficult to meet the current pursuit of low energy consumption devices. Herein, the artificial synapse behavior is demonstrated through a lithium-based electrolyte-gated transistor with a three-dimensional (3D) interface conduction channel for low-power synapse simulation. The device fabricated by the electrospinning process successfully simulates typical artificial synaptic characteristics under different stimulation intensities. The energy consumption of a single spike of a synaptic device can be as low as $\sim 1.25$ pJ. In addition, the device simulates behavior similar to the Ebbinghaus memory. This work provides a simple and effective reference for the fabrication of low-voltage artificial synaptic devices.
Improved Cascaded SOGI Control for Islanding-Synchronization in Photovoltaic System

This work presents an improved cascaded second-order generalized integrator (I-CSOGI) controlled photovoltaic system (PVS), which functions as an islanded system during grid interruption without energy storage. Here, a single-stage PVS structure is used, simplifying the control by automatically regulating the PV array operating point and dc-link voltage during the grid outage. The I-CDSOGI algorithm is exercised to determine the sensed voltages angle, frequency, and harmonics free positive sequence components of the sensed voltages and load currents. The advantage of the presented I-CDSOGI over the existing CDSOGI algorithm is that the gain of its frequency-locked loop is changed adaptively. It reduces the spurious change in the frequency during the sudden phase jump, which is experienced by the load voltages during synchronization. Hence, the repeated tripping of the power electronics switches, which isolates the PVS from the local grid, is reduced, and smooth synchronization is achieved. Furthermore, the cascading of two second order generalized integrator (SOGI) blocks eliminates the dc offset from the sensed signals and boosts the overall harmonics rejection capability, which enhances the angle and frequency estimation performance. A comparison is made to showcase the benefits of I-CSOGI compared with the existing SOGI-based methods in the PVS.
Linking external collaborations, eco-innovation and sustainable growth. An empirical analysis on the Italian manufacturing firms

ABSTRACT This paper analyses the relationships between eco-innovation and business performance by exploring the role of external collaborations as a potential factor explaining the persisting heterogeneity of economic effects of eco-innovation. Basing on a large survey of 3,000 Italian manufacturing firms, the study investigates to what extent collaborations with supply chain and quadruple helix actors, including public institutions, universities and civil society, contribute in sustaining firm’s growth by improving the effectiveness of different types of eco-innovations. We find that the relationship between eco-innovation and business performance is moderated by both supply-chain and quadruple helix collaborations. However, external collaborations with actors of the quadruple helix show a pronounced heterogeneity. While process eco-innovation may in particular benefit from establishing collaborations with public institutions, product eco-innovation relies more on interactions with civil society suggesting that market-driven factors still exert a main role in influencing the market success of this type of eco-innovation.
A Normally-Off GaN MIS-HEMT Fabricated Using Atomic Layer Etching to Improve Device Performance Uniformity for High Power Applications

Normally-off ferroelectric charge trap gate stack GaN high electron mobility transistor (FEG-HEMT) was fabricated with atomic layer etching (ALE) to precisely control the device parameters including <inline-formula> <tex-math notation="LaTeX">$\text {V}_{\text {th}}$ </tex-math></inline-formula> of the device. The ALE process consists of cyclic Cl2 adsorption modification steps and the Ar ion removal steps. The ALE process achieved etch-per-cycle (EPC) of 0.347 nm/cycle and superior etching morphology with RMS <inline-formula> <tex-math notation="LaTeX">$=0.281$ </tex-math></inline-formula> nm. The fabricated GaN HEMT using the ALE process exhibited a high threshold voltage (<inline-formula> <tex-math notation="LaTeX">$\text {V}_{\text {th}}$ </tex-math></inline-formula>) of 5.06 V, high maximum drain current (<inline-formula> <tex-math notation="LaTeX">$\text {I}_{\text {D,MAX}}$ </tex-math></inline-formula>) of 772 mA/mm with low on-resistance (<inline-formula> <tex-math notation="LaTeX">$\text {R}_{\text {on}}$ </tex-math></inline-formula>) of <inline-formula> <tex-math notation="LaTeX">$8.57~\Omega \cdot \text {mm}$ </tex-math></inline-formula> and high breakdown voltage (BV) of 888 V, the device also showed good <inline-formula> <tex-math notation="LaTeX">$\text {V}_{\text {th}}$ </tex-math></inline-formula> uniformity. Finally, the contact resistance (<inline-formula> <tex-math notation="LaTeX">$\text {R}_{\text {c}}$ </tex-math></inline-formula>) was reduced from <inline-formula> <tex-math notation="LaTeX">$0.46~\Omega \cdot \text {mm}$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$0.15~\Omega \cdot \text {mm}$ </tex-math></inline-formula> by the ALE process, and the dynamic on-resistance (dyn-<inline-formula> <tex-math notation="LaTeX">$\text {R}_{\text {on}}$ </tex-math></inline-formula>) was improved at the same time.
Structural Comparison of hMDH2 Complexed with Natural Substrates and Cofactors: The Importance of Phosphate Binding for Active Conformation and Catalysis

Malate dehydrogenase (MDH), which catalyzes a reversible conversion of L-malate to oxaloacetate, plays essential roles in common metabolic processes, such as the tricarboxylic acid cycle, the oxaloacetate–malate shuttle, and the glyoxylate cycle. MDH2 has lately been recognized as a promising anticancer target; however, the structural information for the human homologue with natural ligands is very limited. In this study, various complex structures of hMDH2, with its substrates and/or cofactors, were solved by X-ray crystallography, which could offer knowledge about the molecular and enzymatic mechanism of this enzyme and be utilized to design novel inhibitors. The structural comparison suggests that phosphate binds to the substrate binding site and brings the conformational change of the active loop to a closed state, which can secure the substate and cofactor to facilitate enzymatic activity.
A Hybrid Intelligent Approach to Attribute Advanced Persistent Threat Organization Using PSO-MSVM Algorithm

In recent years, extensive research has been conducted in Advanced Persistent Threat (APT) attack defence. However, most existing defence solutions can only identify and temporarily disrupt cyber attacks, seeking to deny the threat from the intranet, it’s difficult to defence against APT attacks. Attributing the APT organization is an excellent complement to the existing defence solutions, which not only can expose the attacker’s true identity, but also provide evidence to bring the attacker to justice. However, research on attributing APT Organization is still few, poses complex tasks because APT attacks are highly targeted, stealthy, persistent and organized. To answer thie question, we propose a Particle Swarm Optimization Multiclass Support Vector Machine (PSO-MSVM) approach to identify the organization behind complex APT attacks automatically. Firstly, we have collected a large amount of data on the traces of APT attack tools executed in the sandbox, and selected data closely related to APT organizations to construct the feature set. Secondly, based on the strategy of keeping the personal best (pbest) and global best (gbest) particles in the particle swarm algorithm away from the adaptation values generated by the misclassification information as they move, the particle positions are updated frequently to eventually obtain the optimal parameters (i.e., penalty parameter ( ${C}$ ) and sigma parameter ( $\sigma $ )) for MSVM, thus enabling the MSVM technique to accurately identify APT organizations. The results obtained from the PSO-MSVM approach showed the superiority of this technique in three different measures of accuracy, precision and F1,compared with other six classical methods.
Optimization of a two-mass vibration-based electromagnetic energy harvester using simulated annealing method

In this paper, a theoretical mathematical model in conjunction with an electrical generation model is examined. Using a simulated algorithm, the optimal design of a two-mass energy harvester that finds the maximal electrical power will be assessed. Before the optimal design is performed, the influence of the electrical power with respect to design parameters such as the magnet’s height, the diameter, the stiffness of the lower springs, the stiffness of the upper springs, the revolution of the lower coil, the revolution of the upper coil, the diameter of the coil’s wire, and the electrical resistance of the loading will be analyzed. Results reveal that the design parameters play essential roles in maximizing electrical power. The two mode shapes of the two-mass energy harvester also occur at the targeted forcing frequencies. The electrical power is optimally extracted at the two primary forcing frequencies, i.e. 12 and 30 Hz. Moreover, it is obvious that the induced electrical power of the two-mass energy harvester will be superior to that of the one-mass energy harvester.
Body Motion Artifact Cancellation Technique for Cough Detection Using FMCW Radar

A body motion artifact cancellation (BMAC) technique is proposed to detect human cough signals using a frequency-modulated continuous-wave (FMCW) radar. Human coughs are spontaneously accompanied by large-scale body motions, which overwhelm small-scale vibration signals induced by coughing. To mitigate these effects, motion-induced phase variations are estimated and compensated at respective frequencies of an FMCW signal. The cough signals are extracted from range profiles of the phase-compensated FMCW signals. This allows collecting cough signals at a fixed range bin, which are not so much distorted by range migrations due to the large-scale body motions. It is verified through both simulations and experiments. The experimental result shows that it can clearly detect human cough signals by removing body motion artifacts.
Social and Behavioral Pathways between Adverse Childhood Experiences and Poor Adult Physical Health: Mediation by Early Adulthood Experiences in a Low-Income Population

Adverse childhood experiences (ACEs) increase the risk of poor health and wellbeing in adulthood. In this study, we tested whether experiences in early adulthood—intimate partner violence (IPV), substance use, social isolation, and work instability—mediate the relationship between ACEs and poor physical health in later adulthood. Using data from a large-scale survey of Medicaid enrollees in the Portland metropolitan area, four separate mediation models were constructed to assess the indirect effects of each early adulthood experience and the proportion of the total effect on physical health accounted for by the pathway. Experiencing four or more ACEs increased the risk of poor adult physical health by 50% (RR 1.50). Considered in separate models, mediation by IPV accounted for 14.4% of the total effect; substance use mediated a similar proportion (14.0%). Social isolation was a less substantial mediator (7.6%). Work instability did not mediate the relationship between ACEs and adult physical health in our population. These findings provide evidence that IPV, substance use, and social isolation in early adulthood are part of the pathway between high ACEs and poor adult physical health. Intervening to prevent negative early adult experiences may mitigate some of the long-term effects of childhood trauma on health.
Task Autonomy of a Flexible Endoscopic System for Laser-Assisted Surgery

Laser beam steering has been widely studied for the automation of surgery. Currently, flexible instruments for laser surgery are operated entirely by surgeons, which keeps the automation of endoluminal surgery at the initial level. This paper introduces the design of a new workflow that enables the task autonomy of laser-assisted surgery in constrained environments such as the gastrointestinal (GI) tract with a flexible continuum robotic system. Unlike current, laser steering systems driven by piezoelectric require the use of high voltage and are risky. This paper describes a tendon-driven 2 mm diameter flexible manipulator integrated with an endoscope to steer the laser beam. By separating its motion from the total endoscopic system, the designed flexible manipulator can automatically manipulate the laser beam. After the surgical site is searched by the surgeon with a master/slave control, a population-based model-free control method is applied for the flexible manipulator to achieve accurate laser beam steering while overcoming the noise from the visual feedback and disturbances from environment during operation. Simulations and experiments are performed with the system and control methods to demonstrate the proposed framework in a simulated constrained environment.
Characteristics and antibacterial activity of chitosan nanoparticles from mangrove crab shell (Scylla sp.) in Tarakan Waters, North Kalimantan, Indonesia

Abstract. Luthfiyana N, Bija S, Nugraeni CD, Lembang MS, Anwar E, Laksmitawati DR, Nusaibah, Ratrinia PW, Mukmainna. 2022. Characteristics and antibacterial activity of chitosan nanoparticles from mangrove crab shell (Scylla sp.) in Tarakan Waters, North Kalimantan, Indonesia. Biodiversitas 23: 4018-4025. The aim of this study was to determine the characteristics and antibacterial activity of chitosan nanoparticles from mangrove crab shells (Scylla sp.) in Tarakan Waters, North Kalimantan, Indonesia. Chitosan was produced from deproteination, demineralization, and deacetylation processes. Nanoparticles of chitosan were produced by the ionic gelation method. The quality of produced chitosan was tested, and characterized the obtained nanoparticles of chitosan. The results showed that the yield of chitosan was 5.82 ± 0.02%, moisture 1.66 ± 0.05%, ash 1.59 ± 0.21%, nitrogen 1.32 ± 0.06%, and degree of deacetylation (DD) 76 ± 0.00%. All results were in accordance with the Protan Laboratory and Food Safety Authority (EFSA) 2010 standard. Next, the characteristics of chitosan nanoparticles showed that the highest intensity was 15.69 nm, with a polydispersity index of 0.346 and a zeta potential of -26.1 mV. The morphology of chitosan nanoparticles was observed by scanning electron microscopy, energy-dispersive x-ray spectroscopy (SEM-EDX) at 7,500 times magnification. Several elements, such as C and O, were found as constituent elements of chitosan, whereas Mg, Al, P, and Ca, were metal impurities of the shell. Na was derivate from NaTTP, a reactant from mangrove crab nano chitosan. The results of antimicrobial activity revealed that 1% (P4) chitosan extract showed highest zone of inhibition i.e. 13.55 mm and 13.43 mm against Staphylococcus aureus and Staphylococcus epidermidis, respectively.
Dielectrophoresis-Based SERS Sensors for the Detection of Cancer Cells in Microfluidic Chips

The detection of freely circulating cancer cells (CTCs) is one of the greatest challenges of modern medical diagnostics. For several years, there has been increased attention on the use of surface-enhanced Raman spectroscopy (SERS) for the detection of CTCs. SERS is a non-destructive, accurate and precise technique, and the use of special SERS platforms even enables the amplification of weak signals from biological objects. In the current study, we demonstrate the unique arrangement of the SERS technique combined with the deposition of CTCs cells on the surface of the SERS platform via a dielectrophoretic effect. The appropriate frequencies of an alternating electric field and a selected shape of the electric field can result in the efficient deposition of CTCs on the SERS platform. The geometry of the microfluidic chip, the type of the cancer cells and the positive dielectrophoretic phenomenon resulted in the trapping of CTCs on the surface of the SERS platform. We presented results for two type of breast cancer cells, MCF-7 and MDA-MB-231, deposited from the 0.1 PBS solution. The limit of detection (LOD) is 20 cells/mL, which reflects the clinical potential and usefulness of the developed approach. We also provide a proof-of-concept for these CTCs deposited on the SERS platform from blood plasma.
Short Communication: Determination of crude oil degradation efficiency of biofilm producing bacteria isolated from oil contaminated site

Abstract. Khoo DH, Shivanand P, Taha H. 2022. Short Communication: Determination of crude oil degradation efficiency of biofilm producing bacteria isolated from oil contaminated site. Biodiversitas 23: 4138-4143. Microbes have gained much attention for their application in the bioremediation of petroleum contaminated areas, and biofilm producing bacteria are considered potential candidates for this purpose. The aim of this study was to screen six oil degrading bacterial strains for their ability to form biofilm, and to measure the crude oil degradation efficiency of selected strains. It was found that only two strains, Micrococcus sp. UBDBH15 and Pseudomonas sp. UBDBH26 were categorized as strong biofilm producers, with the latter showing the highest amount of biofilm formed. Under the conditions tested, Pseudomonas sp. UBDBH26 was also found to have the highest degradation rate (0.0047 g/day) with a significant degradation of 7.07 ± 3.02 and 11.38 ± 2.93 % of crude oil after 7 and 14 days respectively. Micrococcus sp. UBDBH15 had a lower rate of degradation (0.0033 g/day), resulting in a non-significant degradation. However, in comparison with a non-biofilm producer, Enterobacter sp. UBDBH06, this study suggested that biofilm might enhance the degradation of oil, but further studies are needed to confirm this assumption.
Would you share that? How the intensity of violent and sexual humor, gender and audience diversity affect sharing intentions for online advertisements

PurposeThe purpose of this study is to understand the effect of increasing the intensity of sexual or violent content on consumer responses to online video advertisements, with a particular emphasis on sharing intentions.Design/methodology/approachThe paper uses a between-subjects experimental design across two studies using new to the world online video advertisements as stimuli.FindingsStudy 1 finds that increasing the intensity of sexual and violent humor improves advertisement effectiveness amongst men but leads to significantly more negative attitudes toward the advertisement and brand amongst women. Study 2 identifies gender and humor type as moderators for sharing intentions in the presence of audience diversity. While men are more likely to publicly share sexual and violent humor advertisements, social anxiety mediates intentions to share sexual humor advertisements in the presence of greater audience diversity.Practical implicationsThe paper offers insights to practitioners regarding the use of risqué forms of humor as part of a digital marketing strategy.Originality/valueDrawing on and extending benign violation theory, the paper introduces and verifies a theoretical model for understanding consumer responses to the use of risqué forms of humor in online advertisements. It identifies how audience diversity affects sharing intentions for sexual and violent humor-based advertisements on social media.
Therapeutic Mechanism and Key Active Ingredients of Shenfu Injection in Sepsis: A Network Pharmacology and Molecular Docking Approach

At present, although the early treatment of sepsis is advocated, the treatment effect of sepsis is unsatisfactory, and the mortality rate remains high. Shenfu injection (SFI) has been used to treat sepsis with good clinical efficacy. Based on network pharmacology, this study adopted a new research strategy to identify the potential therapeutic targets and key active ingredients of SFI for sepsis from the perspective of the pathophysiology of sepsis. This analysis identified 28 active ingredients of SFI based on UHPLC-QQQ MS, including 18 ginsenosides and 10 aconite alkaloids. 59 targets were associated with the glycocalyx and sepsis pathways. Based on the number of targets related to the pathophysiological process of sepsis, we identified songorine, ginsenoside Rf, ginsenoside Re, and karacoline as the key active ingredients of SFI for the treatment of sepsis. According to the cluster analysis of MCODE and the validation on the GEO dataset, LGALS3, BCHE, AKT1, and IL2 were identified as the core targets. This study further explored the therapeutic mechanism and the key active ingredients of SFI in sepsis and provided candidate compounds for drug development.