Miracle-dz/UniFAR-FTUs huggingface dataset:
Allozyme Heterosis in Radiata Pine is Poorly Explained by Overdominance

Heterosis, the superior vegetative or reproductive vigor associated with heterozygosity, has been observed for allozymes in a wide variety of plant and animal taxa. Its causes, however, are widely debated. To gain insight into the causes of heterosis, we examined the relationship of allozyme heterozygosity and growth rate in a sample from a natural population of radiata pine. Some 244 clones derived from 30 natural stands were grown for 14 yr in an experimental plantation. Height, diameter, and crown growth rates were determined for six to nine ramets per clone; clonal genotypes were scored at 27 polymorphic allozyme loci. Levels of heterozygosity well below average were associated with depressed growth rates. The strength of heterosis within stands was positively associated with the estimated level of natural inbreeding and negatively associated with mean observed heterozygosity. Heterosis varied sporadically among loci and was unrelated to their levels of polymorphism, thus failing to support the hypothesis that the major polymorphisms are maintained by overdominant selection. Rates of growth also declined at high levels of heterozygosity, suggesting that the less frequent allozymes and/or tightly linked loci, which occur predominantly in heterozygous condition, tended to have deleterious effects.
Exploiting Wikipedia and Twitter for Text Mining Applications

- Recent research efforts have begun exploring the role of knowledge bases in solving the various problems that arise in the domain of text mining. Of all the knowledge bases, Wikipedia on account of being one of the largest human-curate, online encyclopedias has proven to be one of the most valuable resources in dealing with various problems in the domain of text mining. However, previous Wikipedia-based research efforts have not taken both Wikipedia categories and Wikipedia articles together as a source of information. This research work serves as a first step in eliminating this gap and it has shown the effectiveness of Wikipedia category article structure for various text mining tasks. Wikipedia categories are organized in a taxonomical manner serving as semantic tags for Wikipedia articles and this provides a strong abstraction and expressive mode of knowledge representation. In this research work, it explore the effectiveness of this mode of Wikipedia's expression (i.e., the category article structure) via its application in the domains of text classification, subjectivity analysis (via a notion of \perspective" in news search), and keyword extraction. The effectiveness of exploiting Wikipedia for two classification tasks i.e., 1-classifying the tweets being relevant / irrelevant to an entity or brand, 2-classifying the tweets into different topical dimensions such as tweets related with workplace, innovation, etc. To do so, it defines the notion of relatedness between the text in tweet and the information embedded within the Wikipedia category-article structure. These experimental evaluations undertake comparisons with standard text mining approaches in the literature and the Wikipedia framework based on its category-article structure outperforms the standard text mining techniques.
Cryptanalysis of "FS-PEKS: Lattice-based Forward Secure Public-key Encryption with Keyword Search for Cloud-assisted Industrial Internet of Things"

In this note, we review lattice-based public-key encryption with the keyword search against inside keyword guess attacks (IKGAs) proposed by Zhang et al . in IEEE Transactions on Dependable and Secure Computing in 2021. We demonstrate that this scheme is insecure for IKGAs, although Zhang et al. demonstrated a secure proof. Keywords— Public-key Encryption with Keyword Search, Lattice-based, Insider Keyword Guessing Attack, Cryptanalysis
Dugong habitat use in relation to seagrass nutrients, tides, and diel cycles

The dugong is the only herbivorousmammal that is strictly marine and a seagrass community specialist. The pasture available to the dugong varies with the tides because seagrass occurs in both intertidal and subtidal areas. We GPS-tracked seven dugongs within a 24 km2, intensively used seagrass habitat in subtropical Australia in winter.We modeled resource selection within the habitat by comparing the dugongs’ use of space with the distribution of seagrass in an area defined using the combined space-use of the tracked animals. Selection by dugongs for seagrass quantity (biomass) and quality (nutrients) was analyzed within six time/tide combinations to examine the influences of tidal periodicity and the diel cycle on resource selection. Dugong habitat use was consistently centered over seagrass patches with high nitrogen concentrations, except during the day at low tides when the animals had fewer habitat choices and their space use was centered over high seagrass biomass. The association of dugongs with seagrass high in starch was positive during both day and night high tides when the animals could access the intertidal areas where seagrass biomass was generally low. Associations between dugongs and seagrass species were less definite, reflecting the potential for dugongs to exploit several species. Our model of dugong resource selection suggests that nitrogen is the primary limiting nutrient for dugong populations and also confirms the preference of dugongs for high-energy foods.
DISTRIBUTION AND POPULATION DENSITY OF THE GHOST CRAB, OCYPODE CURSOR (LINNEAUS, 1758) IN YUMURTALIK BEACH, TURKEY

The distribution and population density of the ghost crab, Ocypode cursor were studied in Yumurtalik Beach,Turkey during summer, 2009. Burrow densities of ghost crab were measured at three beach zones in relation to the Reference Datum (RD) with middle heights of 2, 4, and 9 m, which were located at medi-olittoral, supra-littoral, and sub-terrestrial fringe, respectively.Generally, individuals occurred above 1 m in height in relation to RD and peaked between 2 and 4 m. A range from 0 to 4.2 burrows/m 2 was obtained, and the total number of crabs on this beach (approximately is 2256 km 2 ) ranging from 18.99 burrows/m 2 to 56.41 burrows/m 2 . Significant differences in the mean burrow density were found among three zones. Low densities were recorded in the sub-terrestrial zone in September and peak density in the supralittoral zone in August. In general crabs followed a clumped dispersion on Yumurtalik beach. In total 986 burrow diameters were measured where diameter ranged from 3 to 97.8 mm. The results provided evidence that Yumurtalik Beach can provide suitable habitats for O. cursor population. Ocypode cursor is not vulnerable to the anthropogenic disturbances and environmental alterations found at Yumurtalık Beach.
Automated detection of bluffing in a game: revealing a complex covert user state with a passive BCI

Previous studies suggest that human-machine interaction could be enhanced by providing information about the actual user’s state, thus allowing for automated adaption of the system. While some user states might be inferred from the user’s behaviours, others like e.g. the perception of a self-or machine-induced error are hard to access externally. But such covert user states are reflected in physiological parameters like EEG and can be detected with a passive brain-computer interface (passive BCI). Aim of this study was to expand the complexity of covert user states, which can be detected by a passive BCI. An inherently covert and therefore complex state is the deliberate attempt to mislead an opponent in a game (e.g. in poker) – namely bluffing . We recorded high-density EEG from 6 pairs of subjects while they were playing a bluffing dice game against each other. The game included dedicated states in which the players had to bluff or to give up. When classifying whether a player would bluff or not, we achieved a cross-validated single-trial accuracy of 81.4% (± 6.5%) over all subjects. Based on that, further investigations of the detection of covert user states show promise to enhance the performance of human-machine systems.
CHROMOSOMES AND DNA IN SYMBIODINIUM FROM AUSTRALIAN HOSTS 1

Chromosome counts are reported for five species of Symbiodinium Freudenthal isolated from the host species Plesiastrea versipora, Aiptasia pulchella, Parerythropodium sp. , Zoanthus robustus, and Capnella gaboensis based on light and electron microscope studies. Both techniques resulted in large variations in the apparent numbers of chromosomes per nucleus in Symbiodinium isolated from the same host colony. Adjacent regions of condensed DNA were occasionally linked by thin fibrils of DNA, The results suggest that the regions of condensed nuclear DNA in dinoflagellates may not represent whole chromosomes, and so chromosome counts are considered inappropriate for defining Symbiodinium taxa.
Prestasi optimal hanya dapat dicapai, jika seorang atlet telah melalui proses latihan yang sangat kompleks. Pada proses latihan tersebut, peran fisiologi olahraga mutlak dijadikan dasar dalam memodifikasi program latihan. Fisiologi Olahraga merupakan cabang ilmu fisiologi yang mempelajari perubahan 

Optimal performance can only be achieved , if an athlete has been through the process very complex exercise. At the rehearsal process the role of exercise physiology makeing absolute basis in modifying training program. Sports Physiology is a branch of physiology that studies the physiological changes in the body when a person exercise . By knowing the changes that occur in the body, one can design an exercise program for making optimal changes as expected. Errors in applying management training load, will adversely affects physiological condition of the athlete. Pulse is high, often feel dizzy, interference with digestion and metabolism, is the consequences of fatigue and overtraining, thus affecting the performance of the athlete to achieve optimal performance .
TECHNICAL UNIVERSITY OF MUNICH TUM Data Innovation Lab 3D Matching of TerraSAR-X Derived Ground Control Points to Mobile Mapping Data

In this report, we focus on the automatic extraction of pole-like structures from mobile LiDAR point clouds which can be used for 3D matching with Ground Control Points derived from TerraSAR-X satellite data. Different approaches were analyzed for point cloud classification to extract pole-like structures from the LiDAR data. We present two different frameworks for the point cloud classification. The first approach is based on classic machine learning after applying feature extraction for each 3D point with respect to its neighbors, after which each 3D point is labelled with a semantic class. The second framework is mainly based on a deep learning approach for point cloud classification. In both frameworks, the provided datasets were used for training models. Afterwards, the 3D points classified as light poles are used for the extraction of Pole Control Points (PCPs) that mark the ground point of a pole. At last, the PCPs are used for 3D matching with the ground control points from TerraSAR-X. For this matching, we present an iterative algorithm based on state-of-the-art approaches for 3D point set registration that can handle different degrees of coordinate distortion in the PCPs.
Experimental studies on the dispersal of plants and animals on sheep in calcareous grasslands

1. In June to September 1993 a transhumant flock of sheep on the Schwabische Alb was examined with respect to which plants and animals are transported on and in the wool of sheep within calcareous grasslands. Several factors possibly influencing the attachment and detachment of diaspores on fleeces were studied, as well as the distribution of diaspores on the various body-parts of a sheep. The effects of different modes of sheep locomotion on dispersal were examined with the help of a sheep dummy. In order to assess the retention time of diaspores and animals on sheep, some experiments with marked diaspores and animals were carried out on two tamed sheep. 2. In 16 intensive examinations of the fleece of a single sheep, over 8500 diaspores of 85 vascular plants species were found. The highest numbers of diaspores were attached at the breast and neck of the sheep. 3. Height of diaspore presentation, surface structure of diaspores and sheep locomotion were found to be the decisive factors for the reception and transport of diaspores in the wool. In addition, plant frequency and the length of the disseminating period are of importance. 4. Marked diaspores with both adhesive and smooth surfaces remained on the sheepskin for up to seven months, and can consequently be dispersed over the entire roaming area of the sheep. 5. Amongst the animals transported by sheep, only grasshoppers (13 species) were observed frequently on the flock of sheep. The period of time marked grasshoppers stayed on sheep ranged from I to 69min, with an average of 14 min. During this period sheep can cover distances of over 100m when grazing and well over 500m when roaming. 6. Our study indicates that the importance of the dispersal of diaspores, and especially animals, by animals has so far been largely underestimated. This is mostly due to the methods previously used to examine dispersal mechanisms. 7. Conservation management of rare and endangered species should consider the importance of sheep for maintaining the species richness of calcareous grasslands. It is likely that transhumant sheep farming is irreplaceable in the restoration of grasslands threatened by fallow and woody successional stages. Moreover, traditional shepherding facilitates the exchange of individuals of both plants and animals between isolated patches. That is, sheep are able to maintain dynamic processes even in our greatly fragmented landscape; this is probably essential to long-term population viability of many species.
Developing and testing a cognitive field test for lead-exposed wild songbirds

Anthropogenic impacts drive global changes that can negatively impact wildlife. For example, using lead pipes in Flint, MI has resulted in contaminated drinking water that is likely to have moved into the environment through irrigation. Juvenile American robins (Turdus migratorius) captured in watered parks of Flint have blood-lead levels considered dangerous to brain functioning. The purpose of this study was to develop and test a feeder puzzle for assessing the cognitive effects of lead in wild urban songbirds. We predicted that songbirds could learn how to feed from a feeder puzzle, and if they visited the feeder in groups, then the solution to the puzzle could potentially be transferred by social learning within the group. Furthermore, we predicted that cognition task success could be assessed by monitoring how species interact with the feeder. The prototype was visited by American robins (Turdus migratorius), house sparrows (Passer domesticus), and European starlings (Sturnus vulgaris). Sparrows and starlings demonstrated the potential for social transmission by visiting the puzzle in small groups. Furthermore, starlings solved the puzzle to access food, suggesting that the feeder could be used to evaluate how lead affects songbird cognition and learning. Degree Type Open Access Senior Honors Thesis Department Biology Second Advisor Kristi Judd Third Advisor Marianne Laporte Subject Categories Biology This open access senior honors thesis is available at DigitalCommons@EMU: https://commons.emich. edu/honors/ 693 DEVELOPING AND TESTING A COGNITIVE FIELD TEST FOR LEAD-EXPOSED WILD
A DSS Using Multiple Time Periods for Measuring Project Uncertainty

This paper presents a decision support system based on hierarchical planning and control for the assessment of multi project management under uncertainty . The Proposed DSS contains three hierarchical levels namely the planning, management and operational level. Applying a hierarchical DSS at each level the utilization of the resources in an effective way in the long term medium and short term is achieved. Specifically at the planning level decision have to do with the strategic goals to be pursued in the system management and with the ways to achieve them: overall long term sustainable policies are set at this level. The scope of Management is the utilization of the resources in an effective way in the short and the medium term, according to the directive issued by the Planning stage. In the operational level the DSS is mostly applicable the implementation of the Management decisions in real time operation and it is generally highly structured, so that fixed rules can be applied at this level. Queuing theory is used to estimate the size of the time buffers. Some principles of development of the methodological framework are formulated. This formulation represents a significantly different view of project planning from the ones implied to traditional project management. A small computational example that focuses on maximizing the probability of successful decision making of a project based on minimizing the number of resource conflicts is presented. The problem formulated here has importance and direct application to the management of a wide variety of projects where there is significant uncertainty.
SYCU-Legendary Team Description Paper for 2019 RoboCup Humanoid Kid Size

This paper presents the team of SYCU-Legendary with their Kid Size robots that intent to participate in 2019 RoboCup Humanoid competition of both regular and drop-in class as well as technical challenges. Concretely, the mechanical design, electrical system design, component selection and software work on the robot are described thoroughly especially with contrast to last year. The team of SYCU-Legendary was organized by Shenyang Key Lab. of Hu-manoid Robot and Shenyang City University three years ago when they started to research Kid Size robot. Up to now all the robots are strictly complied with the requirement of RoboCup Kid Size league and even perform excellent in visual recognition and stability. SYCU-Legendary team has taken first place on 2018 RoboCup China Open Competition and has ranked the sixth on Montreal game. The attendance of SYCU-Legendary will contribute to the 2050-year goal of the international RoboCup when humanoid robots being able to win against the official human World Soccer Champion team.
INTANGIBLE CAPITAL Session IMPROVING COMPETITIVENESS OF SERBIAN FIRMS: THE ROLE OF INTANGIBLE CAPITAL

The paper presents some initial analyses after a survey conducted in a set of Serbian firms. Although initial, the results show some interesting tendencies within the Serbian firms and represent a broad picture on understanding the importance of intangibles in improving firms competitiveness. The three aspects of intangible capital are analysed: internal relationships and human capital, external relations and marketing and finally, innovation and R&D including the developments in IT sector. It appears that internal relations are relatively underdeveloped jeopardising an efficient fulfilment of the firms objectives. Thus, decision making processes in many cases are not properly designed and leave an excessive role to the owner as an exclusive decision maker. Also, the position of workers is poor particularly regarding their rights to be informed, make proposals or participate in decision making and even some traditional workers rights are frequently neglected (unions, collective bargaining etc.). On the other hand the higher level of workers satisfaction and loyalty to the firm emerge under better internal relations. Regarding external relationships and marketing practices the results show that this element of intangibles is steadily improving but still is at a lower level then necessary. An essential progress has been remarked within the exporting firms and/or other firms that develop international businesses. We understand this fact as a consequence of a special form of spillovers of international business practices. Regarding innovations many firms claim innovative practices but still at a rudimentary level. Better practices are found among the firms that are exporters and those in manufacturing industries and yet among the foreign firms. However, foreign firms in some cases neglect R&D if they act as a part of larger international companies. This finding points at a lower technological level of production that has been established in the country by means of FDI while major R&D activities are organised in home countries of foreign investors. The finding is in accordance with other research results that found a lower level of spillover effects of FDI in transition economies than it was expected at the beginning of transition process. In concluding remarks we propose some policy measures that could incite local firms investments in intangible capital. JEL Clasification: O32, O34, M21 10 th INTERNATIONAL CONFERENCE OF ASECU
Speech and Gaze Conflicts in Human-Robot Interactions

Gaze and speech are both important modes of communication for human-robot interactions. However, few studies to date have explored the effects of conflict in a robot’s multi-modal communication. In this paper, we investigate how such speech-gaze conflicts affect performance on a cooperative referential task. Participants play a selection game with a robot, in which the robot instructs them to select one object from among a group of available objects. We vary whether the robot’s gaze is congruent with its speech, incongruent with its speech, or absent, and we measure participants’ response times to the robot’s instructions. Results indicate that congruent speech facilitates performance but that incongruent speech does not hinder performance. We repeat the study with a human actor instead of a robot to investigate whether human gaze has the same effect, and find the same results: in this type of activity, congruent gaze helps performance while incongruent gaze does not hurt it. We conclude that robot gaze may be a worth-while investment in such situations, even when gaze behaviors may be unreliable.
DeepPDF: A Deep Learning Approach to Analyzing PDFs

Scientiﬁc publications contain a plethora of important information, not only for researchers but also for their managers and institutions. Many researchers try to collect and extract this information in large enough quantities that it requires machine automation. But because publications were historically intended for print and not machine consumption, the digital document formats used today (primarily PDF) have created many hurdles for information extraction. Primarily, tools have relied on trying to convert PDF documents to plain text for machine processing. While a number of tools exist, which can extract the contents of a PDF with acceptable accuracy, correctly labeling and piecing this data back together in a machine readable format is a signiﬁcantly harder task. In this paper we explore the feasibility of treating these PDF documents as images, we believe that by using deep learning and image analysis it may be possible to create more accurate tools for extracting information from PDF documents than those that currently exist.
Cryptosporidium immunolabeling in paraffin- embedded ileum of CD-1 neonatal mice

1 UMR BIPAR, Ecole Nationale Vétérinaired' Alfort, Anses, INRA, Université Paris-Est, Maisons-Alfort, F-94700, France. 2 Phileo Lesaffre Animal Care, 137 rue Gabriel Péri, 59700 Marcq-en-Barœul, France. 3 Unité pédagogiqued’anatomie pathologique, Bio Pôle Alfort, Ecole Nationale Vétérinaire d'Alfort, Maisons-Alfort, F-94700, France. 4 UMR BIPAR, Anses, Ecole Nationale Vétérinaire d’Alfort, INRA, University Paris-Est, Animal Health Laboratory, Maisons-Alfort, France. *Corresponding author. E-mail: karim.adjou@vet-alfort.fr