Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of UWB Electromagnetic Pulse on UAV Data Link System

In respect to the influence of ultra wide-band electromagnetic pulse on unmanned aerial data link system, an electromagnetic effect test was carried out, the influence law was obtained, and the protection suggestions were given. First, the intensities of ultra wide-band radiation field at different distances were measured. Then the corresponding relationship between electromagnetic environment and fault phenomenon of data link system was obtained under different radiation field intensities, different repetition frequencies and different data link states. Experimental data show that the data link system, as the hardcore of unmanned aerial vehicle, is susceptible to strong electromagnetic pulse interference. Front door coupling is the main coupling path for the interference to unmanned aerial vehicle's main remote control data link, so it is necessary to install protection module on RF front-end to improve the anti-damage capability. The back door coupling phenomenon is also serious, so shielding, grounding and filtering methods must be comprehensively adopted for total security.
Stochastic stability of nonlinear dynamical systems under information constraints*

We study the following problem: Given a stochastic nonlinear system controlled over a possibly noisy communication channel, what is the largest class of such channels for which there exist coding and control policies so that the closed-loop system is stochastically stable? The stability criterion considered is asymptotic mean stationarity (AMS). We first develop a general method (based on ergodic theory) to derive fundamental lower bounds on the channel capacity necessary for achieving asymptotic mean stationarity. These bounds are consistent, and more refined in comparison, with the bounds obtained earlier via information-theoretic methods. Moreover, our approach is more versatile in view of the models considered and allows for finer lower bounds when the AMS measure is known to admit further properties such as moment constraints.
Food Image Retrieval with Gray Level Co-Occurrence Matrix Texture Feature and CIE L*a*b* Color Moments Feature

Food recognition and finding its recipe sometime is becoming challenging in everyday life, especially those who work in cuisine field. Most people usually try to find the food recipe using search engine or specially-designed recipe website by typing the query in the form of text. The problem is, text query cannot be used to accommodate the need of the user when they try to find the food and its recipe using the food image. Hence, a specialized content-based image retrieval is needed for food finding. This paper proposes food image retrieval that later can be matched with its associated recipe. The features used in this food image retrieval is texture and color moments features. Texture feature used in this research is Gray-Level Co-occurrence Matrix (GLCM) while CIE L*a*b color moment is used in color feature extraction. From the initial ranked result, using small dataset consists of 1303 training data and 31 test data, the proposed system can achieve good result up to 97.6% of Mean Average Precision in top-10 rank. We are also investigating four different proximity measures, namely Euclidean, Manhattan, Minkowski, Canberra distance and resulted in Minkowski as the best proximity measure in this dataset.
Impact of Mechanical Strain on 22 nm FDSOI Device Performance using Nanoindentation

A novel nanoindentation technique is used to investigate the influence of mechanical strain on integrated circuit performance. The approach aims to investigate localized stress fields caused by Chip-package interaction and resulting reversible transistor parameter deviations due to the piezoresistive effect. Nanoindentation enables controlled localized loads with high lateral precision and to apply consecutive loading conditions to a single test device. Newly designed ring oscillator test structures manufactured in the 22 nm FDSOI technology node enable a high sensitivity to mechanical load. They were used to monitor the strain effect on the transistors performance. Complementary FEM simulations provide deeper insight into the occurring stress tensor components and their respective impact. The results give an estimation for package related stress influences on devices based on the established correlation of mechanical load/strain and devices performance.
Cooperative Orientation Generative Adversarial Network for Latent Fingerprint Enhancement

Robust fingerprint enhancement algorithm is crucial to latent fingerprint recognition. In this paper, a latent fingerprint enhancement model named cooperative orientation generative adversarial network (COOGAN) is proposed. We formulate fingerprint enhancement as an image-to-image translation problem with deep generative adversarial network (GAN) and introduce orientation constraints to it. The deep architecture provides a powerful representation for the translation between latent fingerprint space and enhanced fingerprint space. While the orientation supervision can guide the deep feature learning to focus more on the ridge flows. To further boost the performance, a quality estimation module is proposed to remove the unrecoverable regions while enhancement. Experimental results show that COOGAN achieves state-of-the-art performance on NIST SD27 latent fingerprint database.
A Review of Design Principles for Improved Mechanical Reliability of Cantilever Piezoelectric Vibration Energy Harvesters

Vibration energy harvesters based on piezoceramics can provide a sustainable source of energy for low-power electronics. The greatest issue preventing these systems from being widely used is their poor reliability. With the aim to maximise their power output, the devices are often operated close the point of yielding, which results in microcracks and fatigue in the piezoceramic layer. This paper offers a comparative review of design principles that aim to improve the reliability of piezoelectric vibration energy harvesters. Three different design principles are investigated with the focus on strain limitation. The results show that strain homogenisation, strain limitation and compressive strains can be effective design principles to increase reliability without sacrificing efficiency.
NMPC-based Controller for Autonomous Vehicles Considering Handling Performance

Autonomous Vehicles (AVs) have shown an evolutionary impact on the transportation systems by providing several benefits in terms of active safety as well as saving travel cost and time. The growing market of the AVs reflects the fact that different aspects of the AVs are still improving to provide a more comfortable and safer environment for the passengers. One of the subsystems which has potential to be improved is the path tracking controller. This subsystem is mainly responsible for the accurate and safe implementation of the trajectories. In this study, a nonlinear path tracking controller is proposed to improve the handling behavior of the AV. To this aim, a Nonlinear Model Predictive Controller (NMPC) is developed to optimise the tracking error and the handling behaviour of the AV. The constrained optimisation problem is solved using a nonlinear programming approach. The outcomes of the study show that adoption of this technique can result in improvement of handling behaviour and passengers comfort while meeting the requirement of an accurate path tracking.
An Upper Bound on the Capacity of the DNA Storage Channel

Paved by recent advances in sequencing and synthesis technologies, DNA has evolved to a competitive medium for long-term data storage. In this paper we conduct an information theoretic study of the storage channel-the entity that formulates the relation between stored and sequenced strands. In particular, we derive an upper bound on the Shannon capacity of the channel. In our channel model, we incorporate the main attributes that characterize DNA-based data storage. That is, information is synthesized on many short DNA strands, and each strand is copied many times. Due to the storage and sequencing methods, the receiver draws strands from the original sequences in an uncontrollable manner, where it is possible that copies of the same sequence are drawn multiple times. Additionally, due to imperfections, the obtained strands can be perturbed by errors. We show that for a large range of parameters, the channel decomposes into sub-channels from each input sequence to multiple output sequences, so-called clusters. The cluster sizes hereby follow a Poisson distribution. Furthermore, the ordering of sub-channels is unknown to the receiver. Our results can be used to guide future experiments for DNA-based data storage by giving an upper bound on the achievable rate of any error-correcting code. We further give a detailed discussion and intuitive interpretation of the channel that provide insights about the nature of the channel and can inspire new ideas for error-correcting codes and decoding methods.
A 1BL/1RS translocation contributing to kernel length increase in three wheat recombinant inbred line populations

The 1BL/1RS wheat-rye translocation has been widely utilized in wheat genetic improvement and breeding programs. Our understanding on the effects of the 1BL/1RS translocation on wheat kernel size (e.g. length and width) is limited despite of numerous studies reporting about the effects on kernel weight. Here, we identified a wheat 1BL/1RS translocation line 88-1643 with higher kernel length (KL) using fluorescence in situ hybridization (FISH), genomic in situ hybridization (GISH) and molecular markers. To detect the possible role of the 1BL/1RS translocation in KL, kernel width (KW), and thousand-kernel weight (TKW), three recombinant inbred line (RIL) populations were constructed by crossing 88-1643 and three other wheat lines. As expected, the results showed that the values of KL in lines carrying 1RS were significantly higher than those carrying 1BS in three RIL populations at multiple environments, indicating that a major and stably expressed allele or gene responsible for increasing KL is most likely located on 1RS from 88-1643. Additionally, in one RIL population, the increased KL contributed significantly to the increase in TKW. Collectively, the 1BL/1RS translocation reported here is of interest to reveal molecular mechanism of the gene controlling KL and will be useful for improving wheat yield.
THE USE OF MIND MAPPING TECHNIQUE IN INCREASING STUDENTS’ VOCABULARY LIST

Vocabulary is central to English language teaching and learning because without sufficient vocabulary students cannot really understand others or express their own ideas, opinions and creativity. It is very beneficial to learn vocabulary since vocabulary is an important thing in communication. Everybody who learns English or a certain language should know the words and the meaning of it. If the students do not know and understand the meaning of words, they will not be able to speak, write and translate anything in English. Thus, without good vocabulary skills the students could not come out with a good writing and excellent result in English Language Examination. This vocabulary component is equally important to enable students to do well in the examinations and in their job situation later in their real daily life. For that, a strong effort should be made to enable students to be better in their vocabulary skills. Without good vocabulary skills students could not perform better in class. The aim of this study are to identify whether or not the use of mind mapping technique increase the vocabulary list of the students and to know the difference in vocabulary list increment among the students. The quasi experimental research study employed pre and post test for both control and experimental group to collect data from 38 samples of Year 6 UKM students of SK Telok Kemang, Port Dickson, Negeri Sembilan. This intervention programme held for 4 hour training programme which is stretched for four weeks. The study found that mind mapping technique helped to improve students’ vocabulary list. Therefore the study implies that the intervention programme of using mind-mapping to improve students’ ability in increasing students’ vocabulary list and get the better band mark for that section has a tremendous positive impact on the samples as compared to chalk and talk method.
Efficient Removal of Pb(II) from Aqueous Solutions by Using Oil Palm Bio-Waste/MWCNTs Reinforced PVA Hydrogel Composites: Kinetic, Isotherm and Thermodynamic Modeling

Polyvinyl alcohol (PVA) hydrogel are still restricted for some applications because their lower mechanical strength and thermal stability. The PVA-based composites are drawing attention for the removal of heavy metals based on their specific functionality in adsorption process. The main objective of this work is to synthesize oil palm bio-waste (OPB)/multiwalled carbon nanotubes (MWCNTs) reinforced PVA hydrogels in the presence of N,N′-methylenebisacrylamide (NMBA) as a crosslinking agent and ammonium persulfate (APS) as an initiator via simple in-situ polymerization technique. The as-prepared reinforced nanocomposites were characterized by FESEM, BET surface area, differential scanning calorimetry (DSC), TGA and FTIR analysis. The possible influence of OPB and MWCNTs on the tensile strength, elongation at break and elastic modulus of the samples were investigated. It was found that reinforced nanocomposites exhibited enhanced mechanical properties as compared to non-reinforced material. The evaluation of reinforced nanocomposites was tested by the removal of Pb(II) aqueous solutions in a batch adsorption system. The pseudo-second-order kinetic model was used to illustrate the adsorption kinetic results and Langmuir isotherm was more suitable to fit the equilibrium results providing maximum adsorption capacities. The evaluation of thermodynamic parameters describes the spontaneous, endothermic and chemisorption adsorption process while activation energy reveals the physical adsorption mechanism. Therefore, the coordination effects among OPB, MWCNTs and PVA polymer hydrogels can produce a promising adsorbent material for wastewater treatment applications.
The Effect of Silver Nanoparticles on Antioxidant/Pro-Oxidant Balance in a Murine Model

This study aimed to evaluate the subacute effect of two types of Ag-NPs(EG-AgNPs and PVP-EG-AgNPs) on antioxidant/pro-oxidant balance in rats. Seventy Wistar rats (35 males and 35 females) were divided in 7 groups and intraperitoneally exposed for 28 days to 0, 1, 2 and 4 mg/kg bw/day EG-Ag-NPs and 1, 2 and 4 mg/kg bw/day PVP- EG-Ag-NPs. After 28 days, the blood was collected, and the total antioxidant capacity (TAC), thiobarbituric reactive species (TBARS),protein carbonyl (PROTC) levels, reduced glutathione (GSH) levels and catalase (CAT) activity were determined. EG-Ag-NPs determined protective antioxidant effects in a dose-dependent manner. The exposure to the 4 mg/kg bw/day EG-Ag-NPs determines both in males and females a significant increase in TAC and CAT and a significant decrease in TBARS and PROTC only in females. The PVP-EG-AgNPs showed a different trend compared to EG-AgNPs. At 4 mg/kg bw/day the PVP-EG-AgNPs induce increased PROTC levels and decreased GSH (males and females) and TAC levels (males). The different mechanisms of EG-AgNPs and PVP-EG-AgNPs on antioxidant-/pro-oxidant balance can be explained by the influence of coating agent used for the preparation of the nanoparticles in the formation and composition of protein corona that influence their pathophysiology in the organism.
Steroid-responsive meningitis-arteritis in dogs in Germany: Are there epidemiological or clinical factors influencing recurrence rate?

Abstract Objective Steroid-responsive meningitis arteritis (SRMA) is one of the most common inflammatory diseases of the central nervous system in dogs. The present study examined breed and sex predisposition factors based on the population of dogs in Germany as well as epidemiological and clinical factors regarding the relapse rate of SRMA. Material and methods Data of 153 dogs with SRMA (SRMA) were analysed retrospectively in this multicentre study. It was investigated whether some dog breeds that suffer from SRMA were disproportionately more often (n ≥ 5) represented when compared to the total population of dogs in Germany. Furthermore it was examined which sex is affected more often. Data provided by “Verband für das deutsche Hundewesen“ (VDH) and „Tasso e. V. “ was used as reference data of the total population. The following factors were investigated with regard to the occurrence of one or more relapses: signalment; body weight; age at first presentation; time period between last vaccination and onset of clinical signs; clinical signs and timepoint of the first SRMA manifestation; results of cerebrospinal fluid (CSF) analysis at first presentation (nucleated cell count and differentiation, protein concentration); immunglobulin A and C-reactive protein (CRP) concentrations in serum and CSF; immunosuppressive medication; follow-up data including response to therapy, occurrence of relapses and mortality including reasons, i. e. due to the disease, therapy or euthanasia. Results The breed had a statistically significant influence on the development of SRMA (p < 0.05). Beagles and Boxers were affected more often by SRMA than other breeds in relation to the total population in Germany. Relapses occurred in 29.4 % of the 153 dogs of this study. In contrast to the development of SRMA, in which male dogs have a significantly increased risk of developing SRMA (p < 0.05), female dogs are more likely to relapse (p = 0.02). Patients on prednisolone monotherapy had fewer relapses than those with prednisolone and azathioprine in combination (p < 0.05). Younger age (p = 0.071) und lower CRP concentrations (p = 0.081) at first presentation were tentatively associated with a higher incidence of relapses. Conclusion The determined breed and sex predispositions support the diagnosis of SRMA arteritis and confirm previous observations. This study allows a more accurate explanation to owners about the risk of relapse.
Constitutive Differential Features of Type 2 Transglutaminase in Cells Derived from Celiac Patients and from Healthy Subjects

Type 2 transglutaminase (TG2) is a ubiquitous enzyme able to modify gliadin peptides introduced into the organism through the diet. By means of its catalytic activity, TG2 seems to have an important pathogenetic role in celiac disease (CD), an inflammatory intestinal disease caused by the ingestion of gluten-containing cereals. A strong autoimmune response to TG2 characterizes CD development. Anti-TG2 antibodies specifically derange the uptake of the α-gliadin peptide 31–43 by control, but not by celiac dermal fibroblasts, underlying some different constitutive features regarding TG2 in healthy and celiac subjects. Our aim was to investigate whether these differences depended on a different TG2 subcellular distribution and whether peptide 31–43 differentially regulated TG2 expression and activity in cells of the two groups of subjects. We found that TG2 was more abundantly associated with membranes of celiac fibroblasts than of control cells, in particular with the early endosomal and autophagic compartments. We also found that peptide 31–43 differentially affected TG2 expression and activity in the two groups of cells, activating TG2 more in control than in celiac cells and inducing TG2 expression in celiac cells, but not in control ones. The different TG2 subcellular localization and the different way the peptide 31–43 modulates TG2 activity and availability into control and CD cells suggested that TG2 is involved in the definition of a constitutive CD cellular phenotype, thus having an important and still undefined role in CD pathogenesis.
Correlation between higher-order aberrations and visual acuity recovery (CoHORT) after spectacles treatment for pediatric refractive amblyopia: A pilot study using iDesign measurement

Purpose To determine the correlation between higher-order aberrations (HOAs) and best-corrected visual acuity (BCVA) recovery speed after spectacles treatment using iDesign measurements in refractive amblyopic children. Methods This is a prospective case series. Children aged from 3 to 7 years with refractive amblyopia (Landolt C equivalent < 0.8) were recruited. All participants were followed for at least 6 months after full correction of the refraction error by spectacles. The HOAs were measured using iDesign before and after cycloplegia at first visit and at 3-month intervals. Then correlation between BCVA recovery after treatment for 6 months and HOAs was determined. Results We analyzed 24 eyes of 12 children (mean age, 4.5 years). Baseline mean BCVA was logarithm of minimal angle of resolution (logMAR) 0.335 (Landolt C equivalent 0.46), which improved to logMAR 0.193 (Landolt C equivalent 0.64) after treatment with full-correction spectacles for 6 months. The amblyopic eye BCVA recovery was negatively correlated with tetrafoil with/without cycloplegia (P = 0.006 and 0.022, respectively) and trefoil with cycloplegia (P = 0.049). Conclusions trefoil and tetrafoil measured with iDesign negatively correlates with the BCVA recovery speed of refractive amblyopic eyes after spectacles treatment in this pilot study. The current study results may aid in further investigation for diagnosis and treatment of refractory refractive and idiopathic amblyopia.
Normative data for Emotion Hexagon test and frequency of impairment in behavioral variant frontotemporal dementia, Alzheimer’s disease and Huntington’s disease

Abstract Social cognitive functions such as Theory of Mind, empathy and emotion recognition can be impaired in dementia spectrum disorders, especially in diseases with prominent frontal dysfunction. The Emotion Hexagon test (EHT) is a short test of basic emotion recognition. As with other social cognitive tests, normative data for this test is sparse. The aim of this study was to present regression-based normative data for the EHT. Further, we wished to investigate the frequency of impairment in patients with the behavioral variant of frontotemporal dementia (bvFTD, N = 11), Alzheimer’s disease (AD, N = 44) and Huntington’s disease (HD, N = 52) when using regression-based normative data. The results documented that age (but not gender or education) had a significant effect on EHT score. The effect of age had numerical impact on expected scores in persons older than 60 years. Normative data (including percentile estimates) are presented. The EHT is sensitive to impairment in both bvFTD and HD, where more than 80% of patients had lower scores than expected. In both groups, 54% of patients fell below the 5th percentile-estimate, and in HD 65% fell below the 10th percentile-estimate. In the AD group 25% fell below the 10th percentile-estimate, and 14% fell below the 5th percentile-estimate. In conclusion, very low scores are typically associated with HD and bvFTD, but very poor performances can also be found in other diseases such like AD. Hopefully, the normative data presented and the documentation of their validity in clinical practice is a useful tool for clinicians.