Miracle-dz/UniFAR-FTUs huggingface dataset:
SOUND PRODUCTION AND SOUND EMISSION IN SEVEN SPECIES OF EUROPEAN TETTIGONIIDS. PART I. THE DIFFERENT PARAMETERS OF THE SONG; THEIR RELATION TO THE MORPHOLOGY OF THE BUSHCRICKET

Abstract Comparative studies of sound production and sound emission in seven species of European tettigoniids have been carried out. The species chosen were two Tettigoniines (Tettigonia cantans, Tettigonia viridissima), two Ephippigerines (Ephippiger discoidalis, Ephippiger ephippiger), and three Decticines (Decticus albifrons, Decticus verrucivorus, Psorodonotus illyricus). The factors which determined the choice of species were the different morphology (for example body shape and weight, and wing size) of the three subfamilies. The parameters of the different songs (e.g. dominant frequency, intensity) are normally not correlated to any of the investigated morphological characteristics of the animals. In the brachypterous species intraspecific correlations exist between wing size and the dominant low frequency band of the call. This frequency band is also observable at related higher frequencies in the ultrasonic range (20–60 kHz), the observed band width increasing with frequency. Sound emission in all.
Quality of Life, Quality of Experience, and Security Perception in Web of Things: An Overview of Research Opportunities

The Web of Things (WoT) is a technology concept that allows the integration of the Internet of Things (IoT) with the World Wide Web (WWW). It will vastly affect our lives in the near future given that it offers new services and applications via the well-known web window. In todays’ world where one can hardly imagine everyday life without access to various online services and applications via a plethora of devices, one can notice that technology has a huge impact on our day-to-day quality of living. That is why a user’s Quality of Experience (QoE) towards used technology in general plays a crucial role in their Quality of Life (QoL). Furthermore, security perception in terms of technology is the feature that vastly affects QoE and, consequently, QoL, as the number of security and privacy threats, risks, and vulnerabilities in cyber space, i.e., the technology environment that we increasingly use, is constantly rising. In order to reach the ultimate goals—the adoption of WoT technology and improvement of our QoL—we must know how this important aspect of security is so far addressed and analyzed. Therefore, this paper gives a comprehensive and structured analysis of the existing literature in this field through a proposed framework and provides an overview of research opportunities that should be addressed and elaborated in future investigations.
Transgenic Strategies for Improved Drought Tolerance in Legumes of Semi-Arid Tropics

Water deficit is the most prominent abiotic stress that severely limits crop yields, thereby reducing opportunities to improve livelihoods of poor farmers in the semi-arid tropics (SAT) where most of the legumes, including groundnut and chickpea, are grown. Sustained long-term efforts in developing these legume crops with better drought tolerance through conventional breeding have been met with only limited success mainly because of an insufficient understanding of the underlying physiological mechanisms and lack of sufficient polymorphism for drought tolerance-related traits. Exhaustive efforts are being made at the International Crop Research Institute for Semi-Arid Tropics (ICRISAT) to improve crop productivity of the SAT crops by comprehensively addressing the constraints caused by water limitations. The transgenic approach has been used to speed up the process of molecular introgression of putatively beneficial genes for rapidly developing stress-tolerant legumes. Nevertheless, the task of generating transgenic cultivars requires success in the transformation process and proper incorporation of stress tolerance into plants. Hence, evaluation of the transgenic plants under stress conditions and understanding the physiological effect of the inserted genes at the whole plant level is critical. This review focuses on the recent progress achieved in using transgenic technology to improve drought tolerance, which includes evaluation of drought-stress response and protocols developed for testing transgenic plants under near-field conditions. A trait-based approach was considered, in which yield was dissected into components. Yield (Y) is defined as transpiration (T) x transpiration efficiency (TE) x harvest index (HI).
Developing Wideband Dual-Circularly Polarized Antenna With Simple Feeds Using Magnetoelectric Dipoles

A novel wideband magnetoelectric (ME) dipole antenna with dual circular polarization and unidirectional radiation is proposed in this letter. The proposed antenna is based on two perpendicular sub-ME dipoles realized by four V-shaped patches and four V-section columns, and each of them is composed of an electric dipole and a magnetic dipole in parallel. Fed by two simple Γ-shaped feeds, 90° phase difference between the electric dipole and the magnetic dipole in each of the sub-ME dipoles is achieved, hence the dual-circularly polarized radiation is generated. Wide impedance bandwidth is obtained in virtue of the two kinds of dipoles being excited simultaneously. The 3 dB axial-ratio (AR) bandwidth is enlarged by optimizing the V-section columns and a circular cavity. Besides, the port isolation is apparently enhanced by adding slits on the patches and elaborating different spacings between each feed and its two-sided columns. Measured results show that the proposed antenna has many appealing properties, such as a unidirectional radiation pattern, an impedance bandwidth (reflection coefficients ≤–10 dB and port isolation ≥ 10 dB) of 51.1% and a 3 dB AR bandwidth of 41.9%.
Abnormalities of Spermatogenesis in the Human Testes

Formation of spermatozoa is a complex process whereby undifferentiated diploid cells multiply and undergo meiotic division to form haploid cells which differentiate into highly specialized flagellated, mo tile cells, the spermatozoa. This process takes place in a specialized epithelium, the seminiferous epithe lium, which lines the seminiferous tubules of the testes. The presence of appropriate levels of follicle-stimulating hormone (FSH) and testosterone is es sential for initiation and maintenance of the sper-matogenic process. 1
Fungi associated with the fir bark beetle Cryphalus piceae in Poland

Summary The aim of this study was to identify fungi associated with Cryphalus piceae on European silver ﬁr(Abies alba) in Poland and to test the pathogenicity of selected isolates. Fungi were isolated from ﬁvepopulations of overwintered adults and their galleries. A great diversity of taxa was associated withC. piceae. In total, 2487 isolates, including 58 species distributed in 25 genera, were obtained. The twomost frequently isolated fungi, an undescribed species of the genus Geosmithia and Ophiostomapiceae,appeared to be speciﬁcally associated with C. piceae, whereas Pesotum fragrans, Pesotum sp. andSporothrix sp. were sporadically associated. Two-year-old seedlings of silver ﬁr were wound-inoculated with three species of fungi (Geosmithia sp., O. piceae and Pesotum sp.) recovered fromC. piceae. Only Pesotum sp. showed pathogenic ability, but we do not consider it to be an importantpathogen of A. alba. 1 Introduction The European silver ﬁr (Abies alba Mill.) is a native species of the mountains of southernand central Europe. It is also found in Belarus, Asia and the Caucasus Mountains. InPoland, silver ﬁr occurs in the Sudeten, the Carpathian and the S´wie˛tokrzyskie Mountains,but only forms pure stands in the eastern Carpathians (Boratyn´ski 1983). For many years,a gradual decline in its vigour has been observed in the Polish mountains, particularly in theSudeten Mountains (Bernadzki 1983). Recent studies have shown that, although abundantregeneration of the silver ﬁr occurs in these areas (Jaworski et al. 1995; Filipiak andUfnalski 2004), signiﬁcant tree damage is present. The ﬁr stands, weakened by manyabiotic, biotic and anthropogenic factors, are attacked by phloem-feeding insects. Amongstthe bark beetles, which are secondary pests in these forests, considerable economic damageis caused by the silver ﬁr bark beetle Cryphalus piceae (Ratz.) (Coleoptera: Scolytidae)(Michalski and Mazur 1999). Cryphalus piceae occurs in Europe and Asia, affecting several species of ﬁr (Abies), buthas also been recorded from species of Pinus, Picea and Larix. It is usually found in themountainous regions of Poland where A. alba occurs. The ﬁr bark beetle has a singlegeneration per year in mountain areas. Adults ﬂy in May and June, and larvae develop inthe summer. Cryphalus piceae mainly attacks the branches and trunks of weakened, dyingand wind-fallen trees and speeds up the dieback process in weakened ﬁr stands (Michalskiand Mazur 1999). Many bark beetle species carry ophiostomatoid fungi capable of causing blue-stain infreshly cut logs and, sometimes, damage to living trees. In some cases, the relationship isextremely close, as between Ips sexdentatus (Bo¨rn.) and Ophiostoma ips (Rumb.) Nannf.For. Path. 40 (2010) 133–144 doi: 10.1111/j.1439-0329.2009. 00620.x 2009 Blackwell Verlag GmbH
Sustainable Development with Smart Meter Data Analytics Using NoSQL and Self-Organizing Maps

The smart metered electricity consumption data and high dimensional questionnaires provide useful information for designing the tariffs aimed at reducing electricity consumption and peak. The volume of data generated by smart meters for a sample of around four thousand residential consumers requires Not only Structured Query Language (NoSQL) solutions, data management and artificial neural network clustering algorithms, such as Self-Organizing Maps. In this paper, we propose a novel methodology that handles a large volume of data and extracts information from electricity consumption measured at 30 min and from complex questionnaires. Five three-level Time-of-Use tariffs are altered and investigated to minimize the consumers’ payment. Then, input data analysis revealed that the peak consumption is influenced by a segment of consumers that can be targeted to flatten the peak. Based on simulations, more than 23% of the peak consumption can be reduced by shifting it from peak to off-peak hours.
WiFi Vision: Sensing, Recognition, and Detection With Commodity MIMO-OFDM WiFi

Indoor human sensing, recognition, and detection, as key enablers of building smart environments, such as smart home, smart retail, and smart museum, have gained tremendous attention in recent years. Compared with traditional vision-based and wearable sensor-based solutions, radio-frequency (RF)-based approaches are more desirable with the contactless and nonline-of-sight nature. Among all RF-based approaches, WiFi-based approaches have been the focus of many researchers because of the ubiquitous availability and cost efficiency. In this article, we present a survey of recent advances in WiFi vision problems, i.e., sensing, recognition, and detection by utilizing the channel state information (CSI) of the commodity WiFi devices. We focus on nine key applications of smart environments, including WiFi imaging, vital sign monitoring, human identification, gesture recognition, gait recognition, daily activity recognition, fall detection, human detection, and indoor positioning. Such a survey can help readers have an overall understanding of sensing, recognition, and detection with commodity WiFi, and thus expedite the development of smart environments.
WISH: efficient 3D biological shape classification through Willmore flow and Spherical Harmonics decomposition

Shape analysis of cell nuclei, enabled by the recent advances in nano-scale digital imaging and reconstruction methods, is emerging as a very important tool to understand low-level biological processes. Current analysis techniques, however, are performed on 2D slices or assume very simple 3D shape approximations , limiting their discrimination capabilities. In this work, we introduce a compact rotation-invariant frequency-based representation of genus-0 3D shapes represented by manifold triangle meshes, that we apply to cell nuclei envelopes reconstructed from electron micrographs. The representation is robustly obtained through Spherical Harmonics coefficients over a spherical parameterization of the input mesh obtained through Willmore flow. Our results show how our method significantly improves the state-of-the-art in the classification of nuclear envelopes of rodent brain samples. Moreover, while our method is motivated by the analysis of specific biological shapes, the framework is of general use for the compact frequency encoding of any genus-0 surface.
Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback

Current ongoing industry revolution demands more flexible products, including robots in household environments and medium-scale factories. Such robots should be able to adapt to new conditions and environments and be programmed with ease. As an example, let us suppose that there are robot manipulators working on an industrial production line and that they need to perform a new task. If these robots were hard coded, it could take days to adapt them to the new settings, which would stop production at the factory. Robots that non-expert humans could easily program would speed up the process considerably
Fine-scale automatic mapping of living Posidonia oceanica seagrass beds with underwater photogrammetry

The Mediterranean seagrass Posidonia oceanica, which provides highly valuable ecosystem services, is subject to increasing anthropogenic pressures, causing habitat loss or fragmentation. Whilst airborne images and acoustic data can be used for monitoring seagrass coverage at a macro-scale and over long time periods, monitoring its health in the short term requires precision mapping in order to assess current regression/progression of individual meadows. However, current fine-scale underwater techniques in the field are imprecise and time-demanding. We propose an automatic classification approach based on underwater photogrammetry for an operational, cost- and time-effective fine-scale monitoring method. The method uses a property of the sparse cloud generated during bundle adjustment—the reconstruction uncertainty—to map seagrass patches. The mean precision, recall and F1 score of the method over 21 study sites with different morphologies were 0.79, 0.91 and 0.84, respectively. However, the fragmentation level of the meadows had a significant negative effect on classification performances. The temporal monitoring of 3 sites using this method proved its operability and showed a positive evolution index of the corresponding meadows over a period of 3 yr. This method is generalizable for most encountered configurations and can be integrated in a large monitoring system, as it enables the production of numerous seagrass maps over a short period of time. Moreover, our methodology could be generalized and applied in the study of other submerged aquatic vegetation by adjusting the method’s parameters.
Acoustic telemetry system for underwater sensors

The design of an acoustic telemetry system is presented and evaluated. We describe the main characteristics of the communication system, the transmitter and the receiver. The scheme of the proposed design consists of autonomous sensors deployed underwater and networked using acoustics to a central node, which takes advantage of the infrastructure of sea-floor observatories to deliver data in real-time to a land station. The central node consists of a piezoelectric ceramic with custom signal conditioning and processing to demodulate and decode the data acquired by the distributed elements of the underwater network.
Phenolic Composition, Quality and Authenticity of Grapes and Wines by Vibrational Spectroscopy

ABSTRACT Phenolic compounds have a strong influence on the quality and authenticity of grapes, and they have been the main objective of several studies due to its importance on the structure, flavour and color of wines. These compounds have been determined along time by different instrumental techniques combining physical and chemical methodologies. Nowadays, innovative analytical systems, based on spectroscopy, have the ability to analyse complex chemical samples. These systems are increasing on the wine industry since they are fast, accurate and eco-friendly methods. This work reviews current applications of vibrational spectroscopy techniques for the measurement and prediction of different phenolic compounds in grapes and wines. The employed chemometrics tools and the statistical strategies have also been revised and included. Abbreviations: ANN: artificial neural network; ATR: attenuated total reflection; CANDECOMP: canonical decomposition; CDA: canonical discriminant analysis; CSPT: computer screen photo-assisted technique; CVA: canonical variate analysis; CVM: characteristic vector method; CZE: capillary zone electrophoresis; DA: discriminant analysis; DAD: diode array detector; DPLS: discriminant partial least squares; FDA: factorial discriminant analysis; FLD: fluorescence detection; FT: Fourier-transform; HCA: hierarchical cluster analysis; HPLC: high-performance liquid chromatography; HPTLC: high-performance thin-layer chromatography; IBECSI: iterative backward elimination of changeable size intervals; ICA: independent component analysis; ICC: inter-class correlation coefficients; ICP-OES: inductively coupled plasma optical emission spectroscopy; IF: infrared; iPLS: interval partial least squares; ISO: international organization for standardization; MIR: mid-infrared; MLS: multiple linear regression; MPLS: modified partial least squares regression; MS: mass spectrometry; NIR: near infrared; NMR: nuclear magnetic resonance; OPLS: orthogonal partial least square; PARAFAC: parallel factor analysis; PCA: principal component analysis; PCR: principal component regression; PLS: partial least-squares; PRM: Partial robust M; R: coefficient of correlation; R2: coefficient of determination; RMSEC: root mean standard error of calibration; RMSECV: root mean squared error cross validation; RMSEP: root mean standard error of prediction; RPD: residual predictive deviation; RR: ridge regression; RSQ: coefficient of determination (square of Pearson product-moment correlation coefficient); SEC: standard error of calibration; SECV standard error of cross-validation; SEP: standard error of predictionSIMCA: soft independent modeling of class analogy; SNV: Standard normal variate; UV-vis: ultraviolet-visible; VIP: variable importance in the projection; WILMA-D: wavelet iterative linear modelling approach-discriminant version.
Arp2/3 Complex Is Expressed in Oral Squamous Cell Carcinoma: An Immunohistochemical Study of 88 Cases

Background: We investigated the immunohistochemical expression of Arp2/3 complex in 88 oral squamous cell carcinomas (OSCCs) and correlated it with the tumor type and grade. Materials and methods: This is a retrospective study of 88 cases of OSCCs (9 verrucous carcinomas, 4 carcinomas in situ, 37 well differentiated OSCCs, 32 moderately differentiated OSCCs, and 6 poorly differentiated OSCCs), stained with mouse monoclonal antibodies for Arp2 and Arp3. Staining was graded according to the extent of positivity by two observers. Results: Arp2 positivity was seen in 79 (89.77%) cases and Arp3 positivity in 78 (88.63%) cases. In positive cases, Arp2 expression was graded as (+) in 12.5%, (++) in 28.4% and (+++) in 48.86% of the cases; Arp3 was graded as (+) in 36.36%, (++) in 30.68% and (+++) in 21.59% of the cases. Conclusion: Expression of Arp2 and Arp3, indicative of the formation of the Arp2/3 complex, was seen in most OSCCs examined. Although no statistically significant correlation was found between the immunohistochemical expression of Arp2/Arp3 and tumor type or grade, the more common expression in invasive OSCCs than in non-invasive verrucous carcinomas and carcinomas in situ is indicative of its involvement in the biological behaviour of the lesions. The availability of Arp2/3 inhibitors that could be used in clinical practice warrants further study of the expression of Arp2/3 in OSCC.
Asymptotic Performance of Generalized Transmit Laser Selection Over Lognormal Turbulence Channels

In free space optical communication systems, transmit laser selection (TLS) has been proposed as an efficient fading-mitigation technique over turbulence channels. In TLS, the transmitter is equipped with a number of laser sources and the best laser source is selected for transmission. In practice, feedback error or outdated selection due to temporal changes in the channel may result in selecting another source rather than the best one. In this letter, we consider a FSOC system with generalized TLS (GTLS) where the <inline-formula> <tex-math notation="LaTeX">${n^{\text {th}}}$ </tex-math></inline-formula> best laser is selected among the available <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> lasers. Under the assumption of lognormal turbulence channels in addition to pointing errors, we derive a closed-form expression for asymptotic bit error rate. We use our derived closed-form expression to determine the diversity gains. We finally present simulation results to corroborate our analytical findings.
Case Study on Enhanced K-Means Algorithm for Bioinformatics Data Clustering

In Scientific field, the data collection resulted into large scale growth by continuous additions of data. The characteristics such as velocity, variety, volume, etc. make the collected data as Big data. Analysis of such data uses various data mining techniques. Clustering is one among them and it is an unsupervised learning technique used for statistical data in bioinformatics, social networks, etc. Among various clustering techniques the K -means clustering is a common and predominant algorithm. However, the accuracy of original K-means algorithm heavily depends on centroids at the beginning and it has high computational complexity. In this paper we present an empirical study on enhanced k-means algorithm for high accuracy clustering with the initial centroids selection in an improved manner.