Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-UAV Flight using Virtual Structure Combined with Behavioral Approach

Abstract Implementations of multi-UAV systems can be divided mainly into two different approaches, centralised system that synchronises positions of each vehicle by a ground station and an autonomous system based on decentralised control, which offers more flexibility and independence. Decentralisation of multi-UAV control entails the need for information sharing between all vehicles, what in some cases could be problematic due to a significant amount of data to be sent over the wireless network. To improve the reliability and the throughput of information sharing inside the formation of UAVs, this paper proposes an approach that combines virtual structure with a leader and two flocking behaviours. Each UAV has assigned different virtual migration point referenced to the leader's position which is simultaneously the origin of a formation reference frame. All migration points create together a virtual rigid structure. Each vehicle uses local behaviours of cohesion and repulsion respectively, to track its own assigned point in the structure and to avoid a collision with the previous UAV in the structure. To calculate parameters of local behaviours, each UAV should know position and attitude of the leader to define the formation reference frame and also the actual position of the previous UAV in the structure. Hence, information sharing can be based on a chain of local peer-to-peer communication between two consecutive vehicles in the structure. In such solution, the information about the leader could be sequentially transmitted from one UAV to another. Numerical simulations were prepared and carried out to verify the effectiveness of the presented approach. Trajectories recorded during those simulations show collective, coherence and collision-free flights of the formation created with five UAVs.
Contactless vibration measurement for condition monitoring

The SKF Laser Vibrometer MSL- 7000 is a digital integrated single-box vibrometer that has been developed specifically for non-contact vibration measurements. Together with the German company Polytec GmbH, SKF customized the Laser Vibrometer as a way to apply a new technology for noise-testing applications in bearing manufacturing and at the same time extend the assortment of sensors for use in condition monitoring (fig. 1). Additionally, SKF can offer end-of-line quality control systems to its customers.
The Effect of Age, Ethnicity and Financial Expertise of Female Directors on Earnings Quality in Indonesia

‘Quality earnings’ are those that are free from accounting tricks and can be used to predict future conditions of the company. Some companies engage in downward manipulation of profits to reduce taxes, while other companies artificially increase profits to look better in the eyes of analysts and investors. Placing women on the board of directors to enhance supervision may reduce these activities and improve the quality of income. This study aimed to examine the effect of age, ethnicity, and financial expertise of female directors on earnings quality on the IDX for the period 2015 - 2018. The study found that (1) higher diversity in the age of female directors did not affect earnings quality; while (2) the more ethnically diverse, the lower the earnings quality. For the moderating variable of financial expertise, the results showed that the financial expertise of female directors weakened the relationship between diversity and earnings quality. Keywords: age diversity, ethnic diversity, financial expertise, earnings quality
Using Outsourcing Services in Manufacturing Companies

Contemporary economic entities function in various types of cooperation systems, which are primarily aimed at creating a competitive advantage and strengthening themselves in order to meet the requirements of competitors. One solution that can make a significant difference to one’s market advantage is outsourcing. It is a response of enterprises to the constantly changing conditions of functioning in a turbulent environment and the emerging new directions and concepts in management. It should be stressed that the choice of outsourcing as a strategy means not only to outsource selected work to external entities, but first of all to retain those competencies of the company that cannot be replaced by anyone. This means that a company must retain a certain sphere of the so-called key areas of activity, which in a positive way distinguish it from the competition and allow it to build an effective market advantage. The main objective of the article is to identify the areas of operation that are the most common subject of outsourcing and the determinants that affect the choice of an outsourcing operator in manufacturing companies in Poland. The variety of aspects of the research subject matter, oscillating around the main objective, has made it necessary to formulate the following research hypotheses: Research Hypothesis H1—The basic criteria determining the selection of an outsourcing operator are: price, quality of services provided and reputation; Research Hypothesis H2—The most common subject of outsourcing is finance and security. The survey was conducted in 2020, in the pre-pandemic period, on a sample of N = 120, including owners/managers of manufacturing enterprises. A non-random sample selection was used. The questionnaires were sent to 200 companies, however, only 126 were completed, of which 6 were not completed in full and were therefore rejected. The verification of the hypothesis was carried out using the chi-square test.
Unsupervised Scalable Multimodal Driving Anomaly Detection

Driving anomaly detection aims to identify objects, events or actions that can increase the risk of accidents, reducing road safety. While supervised approaches can effectively identify aspects related to driving anomalies, it is unfeasible to tabulate and address all potential driving anomalies. Instead, it is appealing to design unsupervised approaches that can automatically identify unexpected driving scenarios. This study formulates the detection of driving anomalies as a binary-discrimination task between expected and unexpected driving behaviors. We propose an unsupervised contrastive method using conditional generative adversarial networks (GANs) implemented with the attention model and the triplet loss function. A feature of our framework is its scalability, where it is easy to add new modalities. We consider five different modalities: the vehicle’s CAN-Bus signals, driver’s physiological signals, distance to nearby pedestrians, distance to nearby vehicles and distance to nearby bicycles. Our approach trains a conditional GAN to extract latent features from each of the five modalities. An attention model combines the latent representations from the modalities. The entire framework is trained with the triplet loss function to generate effective representations to discriminate normal and abnormal driving segments. We conduct experimental evaluations on the driving anomaly dataset (DAD), achieving improved performance over alternative approaches.
Printed MIMO Antenna Engineering

"Optimization and Performance of MIMO B-MAC Interference . MIMO Antenna | L-com.com Printed mimo antenna engineering (Book, 2014) [WorldCat.org] Printed MIMO Antenna Systems: Performance Metrics . Printed MIMO Antenna Engineering (Artech House Antennas . Practical Microstrip and Printed Antenna Design Artech House Printed MIMO Antenna Engineering by Mohammad S. Sharawi . Printed Multi-Band MIMO Antenna Systems and Their . Compact Printed Strip MIMO Antenna for 4G USB Dongle . MIMO Transceiver Design via Majorization Theory Printed MIMO Antenna Engineering 1st edition . Printed Mimo Antenna Engineering Printed MIMO Antenna Engineering. Free Online Library Printed MIMO Antenna Engineering (Artech House Antennas . (PDF) Printed MIMO Antenna Systems: Performance Metrics . TWO ELEMENT PRINTED MIMO ANTENNAS FOR WIRELESS APPLICATIONS Printed MIMO Antenna Engineering. (eBook, 2014) [WorldCat.org] Mohammad S. Sharawi Google Scholar Citations (PDF) Printed MIMO antenna engineering ResearchGate ARTECH HOUSE USA : Printed MIMO Antenna Engineering
Artificial selection for timing of dispersal in predatory mites yields lines that differ in prey exploitation strategies

Abstract Dispersal is the main determinant of the dynamics and persistence of predator–prey metapopulations. When defining dispersal as a predator exploitation strategy, theory predicts the existence of a continuum of strategies: from some dispersal throughout the predator–prey interaction (the Milker strategy) to dispersal only after the prey had been exterminated (the Killer strategy). These dispersal strategies relate to differences in prey exploitation at the population level, with more dispersal leading to longer predator–prey interaction times and higher cumulative numbers of dispersing predators. In the predatory mite Phytoseiulus persimilis, empirical studies have shown genetic variation for prey exploitation as well as for the timing of aerial dispersal in the presence of prey. Here, we test whether artificial selection for lines that differ in timing of dispersal also results in these lines differing in prey exploitation. Six rounds of selection for early or late dispersal resulted in predator lines displaying earlier or later dispersal. Moreover, it resulted—at the population level—in predicted differences in the local predator–prey interaction time and in the cumulative numbers of dispersers in a population dynamics experiment. We pose that timing of dispersal is a heritable trait that can be selected in P. persimilis, which results in lines that show quantitative differences in local predator–prey dynamics. This opens ways to experimentally investigate the evolution of alternative prey exploitation strategies and to select for predator strains with prey exploitation strategies resulting in better biological control.
An Empirical Study on the Behavioral Intention of College Students' Online Ideological and Political Learning

Based on the integration of the technology acceptance model and the information system success model, this study constructs the structural equation model of college students’ online ideological and political learning behavioral intention; then, a questionnaire survey is conducted among college students from 7 colleges of Chongqing and Hangzhou. The results show that there are group differences in system perception, technology acceptance perception, and behavioral intention among college students with different genders and grades; different dimensions of information system quality have different effects on behavioral intention; perceived ease of use is an important mediating variable, which has a direct positive impact on the use attitude; perceived usefulness and use attitude have positive direct effects on behavioral intention; and perceived usefulness has a higher predictive effect on behavioral intention. Therefore, we put forward four suggestions. First, in the future practice, we should pay attention to the group differences of college students and constantly improve the practice mechanism of network ideological and political education. Second, we propose to take the quality construction of information system as the goal and constantly consolidate the service system of network platform. Third, we believe that we can improve users’ attitude towards the use of the platform by improving their perception of ease of use. Finally, we also suggest that we should focus on improving users’ useful perception of the platform, so as to promote their use behavior.
Can Performance and Gentleness Be Reconciled? A Skin Care Approach for Sensitive Skin

People with self-reported sensitive skin may reluctantly use performing anti-ageing skin care products as it could elicit skin discomfort. We thus aimed to design and test an anti-ageing skin care routine that is suitable for people reporting sensitive skin. Key principles for developing products for sensitive skin were applied and formulas were screened for their mildness in vitro using the Reconstructed Human Epidermis ET50 method. Anti-ageing efficacy and mildness was evaluated during a clinical study in China, with 33 female volunteers aged 40–65 years, with sensitive skin. The anti-ageing benefits were measured using Primos 3D, the cutometer and clinical evaluation. Hallmarks for sensitive skin such as skin hydration, skin barrier, skin redness and response to lactic acid were also measured. The ET50 method yielded values suggesting moderate to mild expected irritancy effect in vivo for most of them, and non-irritating effect for the serum. During the clinical study, no physical or functional signs of discomfort were reported with twice-daily usage of the routine. Instrumental evaluation of Wrinkle depth, skin elasticity/firmness, skin hydration, skin barrier and skin redness revealed improvement at 4 and 8 weeks. Clinical evaluation evidenced skin smoothness, skin suppleness and radiance improvements. The skin was less reactive to lactic acid stimuli, while the sensitive skin burden was lowered according to the dermatological quality of life index. Lastly, a separate investigation suggested the potential relief aspect of such routines to alleviate discomforts from mask wearing. With the right formulation design, the benefits of layering products from a routine can be made accessible to people with sensitive skin while simultaneously alleviating the burden of sensitive skin.
Review of Automated Vehicle Technology: Policy and Implementation Implications

The goals of this project were to undergo a systematic review of automated vehicle technologies with a focus on policy implications, methods of implementation, regulation by states, and developments occurring on legal fronts, ultimately creating a set of policy recommendations and questions for further research. This report provides the following recommendations for the state of Iowa over the next five years: (1) Encouraging automation by preparing government agencies, infrastructure, leveraging procurement, and advocating for safety mandates; (2) Adjusting long range planning processes by identifying and incorporating a wide range of new automation scenarios; (3) Beginning to analyze and, as necessary, clarify existing law as it apples to automated driving; (4) Auditing existing law; (5) Enforcing existing laws; (6) Ensuring vehicle owners and operators bear the true cost of driving; (7) Embracing flexibility by giving agencies the statutory authority to achieve regulatory goals through different means, allowing them to make small-scale exemptions to statutory regimes and clarifying their enforcement discretion; (9) Thinking locally and preparing publicly; (10) Sharing the steps being taken to promote (as well as to anticipate and regulate) automated driving; and (11) Instituting public education about automated vehicle technologies.
Paediatric Crohn’s Disease Patients Have Increased Inflammatory Markers Compared to Adult Patients prior to Biological Treatment

Background. Recent epidemiological studies in inflammatory bowel disease (IBD) indicate that paediatric onset of IBD (pIBD) more often requires biological therapy compared to adult onset of IBD (aIBD). Whether this is due to a more aggressive disease phenotype or lower threshold of prescribing biologicals is unknown. In order to expand these findings in a clinical setting, we compared the inflammatory burden in pIBD and aIBD patients requiring biological therapy. Methods. We retrospectively included 70 pIBD and 83 aIBD patients initiating biological therapy. Symptoms and biomarker levels were recorded prior to and 6, 14, 22, and 52 weeks after initiation of biological therapy. Results. In Crohn’s disease (CD), the baseline levels of faecal calprotectin and C-reactive protein (CRP) were increased in paediatric CD patients compared to adult CD patients ( p < 0.0001 and p = 0.01 , respectively). No significant differences were seen in ulcerative colitis (UC). In CD, baseline vitamin D levels ≥ 75 nmol/L and baseline CRP levels < 5 mg/L were associated with higher remission rate ( p = 0.02 ) at the end of follow-up. Moreover, aIBD patients had a higher risk of loss of response to biological therapy and treatment discontinuation compared to pIBD patients ( HR = 4.7 [1.6-13.4], p = 0.004 ). Conclusions. pCD patients had increased inflammation markers compared to aCD patients prior to biological treatment. In addition to this, vitamin D < 75 nmol/L and high CRP levels predicted poor response to treatment in IBD patients.
Mineral Wool Primary Layer Formation in Collecting Chamber

The process of the mineral wool primary layer formation was investigated experimentally on a model spinning machine with sucrose as a working medium. The fibers were pneumatically transported from the spinner rotor to the accumulation grid with the aid of the blow-away and the suction airflow. The fiber primary layer formed on the accumulation grid was visualized by a camera for several different operating regimes. Acquired images were post-processed to determine the light absorption in the primary layer, which was then used to calculate the bulk density and the surface density of the layer. Based on the measured process quantities, we were able to form multiple regression models with a relatively good correlation to the experimental data. The models as well as the qualitative image analysis show a significant effect of spinner rotor rotational speed, pneumatic transport velocity and fiber deposit mass on primary layer bulk density and spatial distribution of fibers.
A novel identification method of lightning strokes for hvdc transmission lines based on voltage deviation

Reliable protections are the guarantee of the safe and stable operation of HVDC system. In order to avoid the mal-operation of the transmission line protection in HVDC system due to the lightning stroke disturbance, this paper studies the different characteristics of lightning disturbance and fault, and proposes a voltage deviation based lightning stroke identification method. The voltage deviation of positive pole is utilised to distinguish lightning disturbance from lightning fault, and the voltage deviation of negative pole is utilised to identify the fault type. Extensive simulation results show that the proposed lightning stroke identification method can distinguish disturbances form faults and judge the fault type correctly.
A high efficiency voltage-fed quasi Z-source inverter with discontinuous input current using super-junction MOSFETs

This paper presents a high-efficiency quasi Z-source inverter with discontinuous input current deploying super-junction MOSFETs as bridge devices to minimise losses. Z-source inverters and quasi Z-source inverters can accommodate two major challenges exhibited by super-junction MOSFETs which would normally make their use problematic in traditional voltage source converters. Firstly, the intrinsic diodes of super-junction MOSFETs tend to exhibit adverse behaviour and secondly, the output capacitance, Coss, is highly non-linear with applied voltage increasing with reducing drain-source voltage. The losses exhibited by the bridge devices in the demonstrator converter at 1.525kW are 13W, or 0.78% and these devices do not require forced cooling, in contrast to IGBTs and p-n anti-parallel diodes when used as equivalent bridge devices.
The dynamics of circulating SARS-CoV-2 lineages in Bogor and surrounding areas reflect variant shifting during the first and second waves of COVID-19 in Indonesia

Background Indonesia is one of the Southeast Asian countries with high case numbers of COVID-19 with up to 4.2 million confirmed cases by 29 October 2021. Understanding the genome of SARS-CoV-2 is crucial for delivering public health intervention as certain variants may have different attributes that can potentially affect their transmissibility, as well as the performance of diagnostics, vaccines, and therapeutics. Objectives We aimed to investigate the dynamics of circulating SARS-CoV-2 variants over a 15-month period in Bogor and its surrounding areas in correlation with the first and second wave of COVID-19 in Indonesia. Methods Nasopharyngeal and oropharyngeal swab samples collected from suspected patients from Bogor, Jakarta and Tangerang were confirmed for SARS-CoV-2 infection with RT-PCR. RNA samples of those confirmed patients were subjected to whole genome sequencing using the ARTIC Network protocol and sequencer platform from Oxford Nanopore Technologies (ONT). Results We successfully identified 16 lineages and six clades out of 202 samples (male n = 116, female n = 86). Genome analysis revealed that Indonesian lineage B.1. 466.2 dominated during the first wave (n = 48, 23.8%) while Delta variants (AY.23, AY.24, AY.39, AY.42, AY.43 dan AY.79) were dominant during the second wave (n = 53, 26.2%) following the highest number of confirmed cases in Indonesia. In the spike protein gene, S_D614G and S_P681R changes were dominant in both B.1. 466.2 and Delta variants, while N439K was only observed in B.1. 466.2 (n = 44) and B.1. 470 (n = 1). Additionally, the S_T19R, S_E156G, S_F157del, S_R158del, S_L452R, S_T478K, S_D950N and S_V1264L changes were only detected in Delta variants, consistent with those changes being characteristic of Delta variants in general. Conclusions We demonstrated a shift in SARS-CoV-2 variants from the first wave of COVID-19 to Delta variants in the second wave, during which the number of confirmed cases surpassed those in the first wave of COVID-19 pandemic. Higher proportion of unique mutations detected in Delta variants compared to the first wave variants indicated potential mutational effects on viral transmissibility that correlated with a higher incidence of confirmed cases. Genomic surveillance of circulating variants, especially those with higher transmissibility, should be continuously conducted to rapidly inform decision making and support outbreak preparedness, prevention, and public health response.