Miracle-dz/UniFAR-FTUs huggingface dataset:
Heads up: sexual dimorphism in house crickets (Acheta domesticus)

Many species are sexually dimorphic because of differential selection on each sex. In many species, males tend to have exaggerated traits or larger body size compared with females. In house crickets (Acheta domesticus L., 1758), the males defend resources and compete for mates by engaging in a striking visual display sequence that includes mandible flaring, where males spread their mandibles wide open. This behavior presumably acts only in males as a visual signal of body size and as an indicator of the willingness to fight, as females do not exhibit this behavior. We tested the hypothesis that sex differences in the signals used for aggressive interactions will lead to sex differences in the morphology of the head in house crickets. To test this hypothesis we made linear measurements of body and head sizes on males and females and utilized geometric morphometric methods to reconstruct sex differences in shape. We also compared the total pigmented area of the faces of males and females. Males had larger h.
A robust combination interpolation method for video super-resolution

This paper presents an efficient method for video super-resolution (SR) based on two main ideals: Firstly, input video frames can be separated into two components, nontexturing image and texturing image. Then each component image is applied to a compatible interpolation method to improve the quality of high-resolution (HR) reconstructed frame. Secondly, based on the approach that border regions of image details are the most lossy information regions from the sampling process. Therefore, a task of compensation interpolation is essential to increase the quality of the reconstructed HR images. From these discussions, we proposed an efficient method for video SR by combining the spatial interpolation in different texturing regions and the sampling compensation interpolation to improve the quality of video super-resolution. Our results shown that, the quality of HR frames, reconstructed by the proposed method, is better than that of other methods, , and in recently. The significant contribution is the low complexity of the proposed method. Hence, it is possible to apply the proposed algorithm to real-time video super-resolution applications.
A Secured Public Auditing for Regenerating-Code-Based Cloud Storage

31T Abstract 31T — To protect outsourced data in cloud storage against corruptions, adding fault tolerance to cloud storage together with data integrity checking and failure reparation becomes critical. Recently, regenerating codes have gained popularity due to their lower repair bandwidth while providing fault tolerance. Existing remote checking methods for regenerating-coded data only provide private auditing, requiring data owners to always stay online and handle auditing, as well as repairing, which is sometimes impractical. In this paper, we propose a public auditing scheme for the regenerating-code-based cloud storage. To solve the regeneration problem of failed authenticators in the absence of data owners, we introduce a proxy, which is privileged to regenerate the authenticators, into the traditional public auditing system model. Moreover, we design a novel public verifiable authenticator, which is generated by a couple of keys and can be regenerated using partial keys. Thus, our scheme can completely release data owners from online burden. In addition, we randomize the encode coefficients with a pseudorandom function to preserve data privacy. Extensive security analysis shows that our scheme is provable secure under random oracle model and experimental evaluation indicates that our scheme is highly efficient and can be feasibly integrated into the regenerating-code-based cloud storage .
Sincronização do estro, indução da ovulação e fertilidade de ovelhas deslanadas após tratamento hormonal com gonadotrofina coriônica eqüina

The aim of this experiment was to evaluate the effect of different doses of eCG on reproductive performance of ewes. The estrus was synchronized with vaginal sponges with 30mg FGA during 12 days. At the time of sponge removal, ewes were distributed in three groups: 0 (n=26), 200IU eCG (n=30) and 400IU eCG (n=30). The estrus was detected by aid of a vasectomized ram. The ewes were inseminated by laparoscopy, 60h after sponge removal. Blood samples were collected at 5 and 18 days after insemination, in order to determine progesterone concentration. It was observed 70.9% of ewes in estrus after the end of treatment. The females that received eCG showed higher (P<0.05) percentage of estrus: 96.7% (400IU) and 76.7% (200IU) versus 34.6% (0 IU). The interval between the end of treatment and estrus onset was higher (P<0.05) in the group that did not receive eCG (54.7±6.3h) in comparison to the groups that received 200IU (45.9±7.8 h) and 400 IU eCG (40.4±10.3h). A lower (P<0.05) number of ovulating and pregnant ewes in the group that did not receive eCG was observed. The eCG withdraw resulted in negative effect on reproductive performance of ewes.
THE MANAGEMENT AND ANALYSIS OF POWER QUALITY IN POWER DISTRIBUTION GRIDS BY USING PQVIEW SOFTWARE SYSTEM

– Nowadays the power quality is considered one of the most important aspect regarding the performance of a power grid operator, concerning equally all the consumers categories, too. Since a low level of the power quality has negative consequences on the technical-economic indices of the power networks’operation, there are perfectly justified the permanent efforts of the power grids operators in finding the best methods and tools able to assist them in managing and analyzing a huge volume of power quality data. The paper presents the capabilities of an intelligent system for the management and analysis of power quality data, PQView. This system is used by power grid operators in their operational activity, as well as within Smart Grid Laboratory of University of Craiova’s INCESA for research and testing purposes. This software system was used for an extensive power quality analysis of real operation a PV power plant interconnected to MV power distribution grid.
Heated Negotiation within the IPO Syndicate and the Quality of Underwriter Services

This paper develops new measures for heated negotiation within the IPO syndicate ––i) between the lead underwriter and co-managers and ii) among co-managers. We find that the inferior bargaining position for the lead underwriter and superior bargain power for co-managers with initial low compensation for comanagers lead to heated negotiation. Our results indicate that underwriters do not negotiate their shares of compensation based on their pre-commitment and actual provision of key underwriter services. Rather, it appears that heated negotiation materializes as co-managers’ resistance against the lead underwriter’s initial unfair profit sharing design.
Dolphins and coastal fisheries within a marine protected area: mismatch between dolphin occurrence and reported depredation

1. Dolphins are often blamed for reducing fisheries catches and may be killed in retaliation. Depredation of fishing gear in coastal Mediterranean waters is normally caused by bottlenose dolphins. Economic impact, however, may be modest even within areas of reportedly acute conflict. 2. Boat surveys and interviews were conducted to investigate dolphin occurrence and interactions with fisheries within the 167 km2 Porto Cesareo Marine Protected Area (MPA) in southern Italy. Based on 69 interviews with fishermen using bottom-set trammel and gill nets, there was reportedly a high occurrence of depredation by bottlenose dolphins. Depredation was reported by 92% of the fishermen operating in or near the MPA, and 67% of them claimed an economic cost in excess of €1000 per year, with a mean reported cost of €2561: a higher impact than in other Mediterranean studies. 3. According to local fishermen, dolphin occurrence and depredation peaked in spring and autumn, coincident with the study's surveys at sea. Dedicated visual surveys totalling 1255 km of effort, however, resulted in no encounters with cetaceans. Information from interviews and boat surveys was therefore contradictory, suggesting that reports of acute depredation do not imply a constant presence of dolphins within the MPA. 4. While depredation in the MPA might be caused by wide-ranging dolphins or incursions occurring overnight, damage may well be overestimated or over-reported. As local fishermen had previously benefited from subsidies, interviews made during this study could be perceived by some as an opportunity to influence future decision-making regarding monetary compensation for the impact of depredation. 5. Evidence from interviews also indicated that species and factors other than dolphins were responsible for part of the damage. Copyright © 2011 John Wiley & Sons, Ltd.
Predictive models in agricultural production

Prediction may be envisaged as organized thinking about the possible. For this purpose, dynamic models of the state-variable approach are important tools because they combine basic knowledge on the physical, chemical and physiological processes that underlie crop growth and agricultural production. At one extreme are comprehensive models that claim to integrate all aspects of growth and to focus attention on the main gaps in present operational knowledge. As such, they are research tools. At the other extreme are summarizing models that are especially geared to answer ‘w hat-if’ questions and are used for evaluating regional production potentials and constraints, for irrigation management and integrated control of pests, diseases and weeds. Examples of these types of models are given and their usefulness for predictive purposes is discussed.
Molecular Docking Analysis of Phytochemical Thymoquinone as a Therapeutic Agent on SARS-Cov-2 Envelope Protein

The sudden outbreak due to severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) is responsible for causing acute highly dreadful coronavirus disease (COVID-19) The pore-forming proteins in the SARS-CoV-2 en elope protein employ amphipathic alpha-helix for pore formation The pore openings are essential for the transport of ions toxins and viroporin activity Moreover there is an insurgence to identify lead compounds to target the novel coronavirus for therapeutic purposes Therefore in the present study the SARS-CoV-2 en elope protein sequence was analyzed constructed the three-dimensional homology model and screened against the bioactive photochemical Thymoquinone (TO) Molecular docking was performed between the modeled E protein and TO to study protein-ligand interactions using ArgusLab 4 0 The investigation rep Baled that the modeled E protein contains a single alpha-amphipathic helix identified for the first time across the Amino-terminal region of the transmembrane domain may contribute to pore formation of small membrane proteins Molecular docking results showed the promising inhibitory potential of the ligand TO and the binding free energy of the bound complex as found to be -9 01 kcal/mol The in silico approach has explicitly demonstrated the significant inhibitory effects of the ligand TO Therefore it may be used effectively as an antagonist against the SARS- CoV-2 infection owing to its outstanding pharmacological properties
Reliable Face Recognition System using KPCA based Feature vector

: In the recent era, biometric-based security systems are topping in the monitoring and surveillance tasks in most of the commercial and public places. The face is easily readable and verifiable biometric which has undergone a decade of research. The main research scope in designing an FRS (Face Recognition System) is to bring out the best feature and classifier that produces high accuracy. The existing feature extraction methodologies LBP, PCA, DCT, FFT, DWT, etc., extract more number of feature vectors that increases the number of computations and focus on the fewer number of challenges. In this paper, a single UIEV (Unique Identifier Eigen Value) feature vector is proposed that is unique for each subject of the face database which is extracted through KPCA (Kernel Principal Component Analysis) methodology and classified with 1-NN rule (1-Nearest Neighbour) classifier. The novel approach of the UIEV feature vector is tested on five benchmark face databases to prove its reliability against the challenges like pose, accessories, lighting conditions, expression and time variations. The performance of the proposed approach reaches the optimal accuracy on all the face databases.
Mesenchytraeus gigachaetus, new name, a replacement name for Mesenchytraeus megachaetus Shen et al., 2011

The species name Mesenchytraeus megachaetus Bretscher, 1901 is preoccupied, although it is a junior synonym of Mesenchytraeus armatus (Levinsen, 1884). Following the International Code of Zoological Nomenclature, hererin, I rename Mesenchytraeus megachaetus Shen et al., 2011, which was published in the Proceedings of the Biological Society of Washington (2011. 124:127–133), to Mesenchytraeus gigachaetus. The etymology is from the Greek prefix ‘‘giga-’’ (meaning giant, large), and ‘‘chaetus,’’ referring to the possession of enlarged ventral chaetae in segments V and VI. Literature Cited
Estimation of aboveground biomass using aerial photogrammetry from unmanned aerial vehicle in teak (Tectona grandis) plantation in Thailand

Rinnamang S, Sirirueang K, Supavetch S, Meunpong P. 2020. Estimation of aboveground biomass using aerial photogrammetry from unmanned aerial vehicles in teak (Tectona grandis) plantation in Thailand. Biodiversitas 21: 2369-2376. Thailand is one of the best teak planting locations in the world. Teak (Tectona grandis Linn.f.) is one of the most species planting and a significant source of high-value timber in Thailand. For plantation management, biomass is one of the important factors while determining the production of a plantation and also for sustainable forest management. Unmanned Aerial Vehicles (UAV) have the ability to produce 3D RGB digital images which can be used to study the plantation characteristics. This study aimed to use aerial images and photogrammetry techniques derived from unmanned aerial vehicles (UAV) to estimate teak biomass in Thong Pha Phum plantation, Kanchanaburi Province, Thailand. We conducted our study on 15-and 36-year-old teak stands, and compared the tree dimension between data obtained from field measurement and that from aerial images and photogrammetry techniques. In the 15-yearold stand, the average tree height estimated from the UAV and ground-truthing were 12.34 and 13.06 m, respectively. In the 36-year-old stand, the average tree height from the UAV and ground-truthing were 28.87 and 29.39 m, respectively. We found that in both stands, the difference between data generated from the UAV and ground-truthing data was not significant (p-value = 0.07 and 0.306, respectively). There was also a strong correspondence between tree height estimated from the UAV and that measured on the ground which is indicated by the high R (i.e. 0.70 and 0.64 for the 15-and 36-year-old stands, respectively). Using UAV generated data, the total biomass of 15-and 36-year-old stands was estimated to be around 42.07 t ha and 67.13 t ha, respectively. The overall results suggest that UAV can be used as an effective tool to survey and monitor stand’s productivity in teak plantation.
Extended differential pattern-based large scale live active learning model for classification of remote sensing data

Recently, the rapid growth of the space-oriented imaging techniques with the tremendous remote sensors facilitates the earth observation in the spatial and spectral domain. The Hyperspectral Images (HSI) have the ability to deliver the detailed information of earth in such domains. An accurate identification of objects from the acquisition system depends on the clear segmentation and classification. Traditionally, clustering and rules-based methods are adopted for classification according to the thresholding effect of image pixel intensity. The clustering process depends on the mean feature of the image pixels with the gray limit. With the spectral limitations, the multi-label segmentation problem affects the clustering and rules adversely. The variations in spectrum cause the changes in the number of rules each and every time that leads to computational complexity and misclassification. This paper proposes the novel classification method based on the textural information obtained from the Extended Differential Pattern (EDP). Initially, the Distributed Intensity Filtering (DIF) removes the noise present in the image and the application of Histogram Equalization (HE) enhances the image quality. The merging and classification of different labels for each image sample are performed through the Extended Differential Pattern (EDP) provides the textural information clearly. With these pattern set, the traditional active learning methods such as Relevance Vector Machine (RVM) and the multi-class SVM classify the HSI patterns that play the major role in remote sensing applications. The comparative analysis between the proposed EDP-AL with the existing algorithms regarding the various parameters overall accuracy, average accuracy and kappa statistics conveys the effectiveness of EDP-AL in remote sensing applications.
A Novel Cross-Layer Scheduling Algorithm for Long Term-Evolution (LTE) Wireless System

— The Third Generation Partnership Project (3GPP) is specifying the Long Term Evolution (LTE) of third-generation cellular systems to meet demands for higher user bit rates. In this paper, we propose a novel Quality of Service (QoS)-guaranteed cross-layer scheduling algorithm for LTE system that allocates resources as resource blocks and also provide the modulation and coding scheme, among users with different traffic loads. Numerical results demonstrate that the proposed algorithm can provide better behavior for QoS-based services than other previous resource allocation algorithms.
Stichochrysis immobilis is a diatom, not a chrysophyte

Stichochrysis immobilis E. Pringsheim was described as a new genus and species of the Chrysophyceae (Pringsheim 1955) on the basis of a pure culture grown on agar. There is now con­ vincing evidence that the organism in culture was in fact a clone of the diatom Cyclotella meneghiniana Kiitzing. The clone upon which Stichochrysis immobilis is based was isolated by Dr Jack Myers from plates of agar enriched with Chu # 1 0 medium (Chu 1942), a freshwater medium lacking added vitamins. The sample from which the isolation was made was collected in February 1949 from a waste-water clar­ ification pond receiving discharge from the city of Alamo, Texas. The water, for which no chemical data were given, was golden-brown in colour because of a dense algal population. The cells of this clone at first appeared square, but later became more rectangular. An axenic culture on agar was furnished to Dr Pringsheim in June 1949. The organism was described (Pringsheim 1955) as consisting of cylindrical cells, mostly twice as long as broad, 7-10 J.Lm in length and 5 J.Lm in diameter, forming chains under certain circumstances. It was considered to represent an undescribed genus and was assigned to the Chrysophyceae on the basis of colour and storage products as deduced by Pringsheim from light microscope examination. Pringsheim's culture from Myers, considered to be the type clone, was deposited with CCAP (Cambridge, UK) as clone number 956/1. Some difficulties with the taxonomy of the genus developed fairly quickly. In 1957, one of us (RRLG) isolated (from agar) several strains of small euryhaline mi­ croalgae from brackish ponds and coastal waters near Milford, Connecticut (USA). These algae grew in chains and were first thought to be clones of Stichochrysis. Drawings of the 'Milford clones' were remarkably like Pringsheim's figures (Pringsheim 1955, figs I-I to 1-8) except that cells or chains were often narrower. However, suspicion was aroused by observations of rows of small 'protuberances' on chains of liquid-grown cells supplied with high levels of silicon. That nominally unicellular
IT Enactment of new Public Management: the Case Study of Health Information Systems in Kenya

: In the last twenty years most African Governments have embarked on health sector reforms sponsored by international partners. Conceived under New Public Management, the majority of these reforms leverage information technology to decentralise hierarchical structures into more information efficient organizations. The paper illustrates the case study of health management information systems in Kenya in order to better understand how the enactment of information technology has influenced the organisational outcome of New Public Management reforms within the health sector in Kenya. The case study provides a longitudinal account of how the adoption and usage of information technology within two health management information systems of Kenya Ministry of Health has affected the implementation of NPM reforms. Data collection and analysis have been framed within an institutionalist perspective viewing different agents acting under the pressure of competing logics (New Public Management and Old Public Administration) at three main levels of action: the macro or policy level (e.g., formal policies), the meso or organisational level (e.g., professional norms and management), and the user or agency level (e.g., IS users’ routines). The case study has shown that NPM institutions were not supported by coherent actions unifying all actors involved in the restructuration of health information systems in Kenya so that IT enactment was not consistent across the health information system giving way to structural changes that were not aligned with what was envisaged in the reforms. Findings point to the rhetoric behind certain reform discourses by main actors involved, particularly, at the macro-policy level. The paper calls for a stronger source of political legitimacy to support discourses around public sector reforms so that through the right competences and systems of values at the meso level information technology can be used as a catalyst for a more consistent implementation of the reforms. New discourses around the potential of IT should be more aligned with certain institutions underpinning the practices of policy makers at the macro level inducing Government echelons to legitimize IT at the macro-policy level.
Effect of high temperature stress on physiological attributes and anti-oxidative defense mechanism in wheat (Triticum aestivum L.)

Experiment was conducted to study the effect of heat stress on various parameters in five diverse wheat (Triticum aestivum L.) genotypes at seedling stage. Seeds were sown in plastic pots in laboratory at 25±2 °C. For heat treatment, 20 days old seedlings were exposed to 36 °C/42 °C for 6 hours. Results showed that the heat stress significantly reduced the dry weight and length of seedlings in all the genotypes. Chlorophyll content and membrane stability index decreased but proline content increased in all the genotypes under stress conditions. Among genotypes, Raj 4083 exhibited better heat tolerance, particularly at 42 °C. Activities of SOD, CAT, APX and POX increased significantly in all the genotypes but per cent enhancement was maximum in Raj 4083 and minimum in PBW 502. The study also provides evidence that antioxidant enzymes like SOD, CAT, GPX, APX have association with heat tolerance in wheat and thus can be used as efficient markers for heat tolerance at seedling stage.
POSITION CONTROL OF DC MOTOR USING SELF-TUNING FUZZY PID CONTROLLER

- the aim of this paper is to design the position control of a DC motor by self-tuning fuzzy PID controller. Parameters of rule base in fuzzy inference are optimized by the ant colony optimization to find minimum settling time of step response of the position control of a DC motor. Moreover, this result of proposed method compares with two kinds of tuning methods of parameter for PID controller as the Ziegler and Nichols method and adjustment by genetic algorithm. Finally, it was found that the proposed method is better than PID parameters adjustment by the Ziegler & Nichols’ method and the genetic algorithm in settling time.