Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrating Relations for a Domain Ontology

This paper addresses an approach for building a relation hierar chy in order to integrate relations from different sources. A relation tree is generated by mapping relations to WordNet synsets, on which duplicated relations are eliminated. As criteria for judging relations not absolute ly required for a domain, popularity and uniqueness are proposed. Our research sh ows that use of a relation hierarchy makes the process of judging necessa ry rel tions of a domain much simpler and more efficient.
Cytologia 72(2): 173–180, 2007

Maintaining oocytes at germinal vesicle (GV) stage without damaging their quality would allow synchronization of maturation and homogenization of the oocyte population. Activation of the oocyte is very important for a number of oocyte or embryo related technologies including intracytoplasmic sperm injection and cloning by nuclear transfer. This work will focus on induction of meiotic inhibition and oocyte activation by cycloheximide (CHX), in buffalo. For this purpose 2 experiments were conducted. In experiment I, buffalo cumulus-oocyte complexes (COCs) were cultured in 100 m l droplets of tissue culture medium 199 enriched with 10% v/v fetal calf serum, FSH and LH (0, 05 iu/ml, PERGOVET 75, Serono, Rome, Italy) and 50 mg/ml gentamycin for 24–26 h at 38.5°C in 5% CO2 and humidified air for 24 h in the presence of 2 mg/ml CHX. COCs were significantly blocked at the GV stage (20.85% vs. 82.72% in control). Reversibility of the CHX effect was assessed by culturing COCs an additional 24 h in CHX-free culture medium. About 65.0% of treated oocytes (control 80.1%) resumed meiosis and progressed to the MII stage. In experiment II, buffalo oocytes were activated by 10 mM calcium ionophore A23187 for 5 min followed by 10 mg/ml CHX for 3 h. Control oocytes were exposed to conventional in vitro fertilization (IVF) in BO medium. After 48 h of culture, significantly more oocytes (p 0.05) were cleaved in the IVF group than in treated group and spontaneous activated one. In conclusion, CHX can be used to block spontaneous resumption of meiosis in buffalo oocytes and its effect is reversible. Also, CHX in combination with calcium ionophore have the ability to induce parthenogenetic activation in buffalo oocytes.
STUDY OF A SPACE ROBOT CAPTURING A FAST ROTATING OBJECT FROM A FLOATING SPACECRAFT *

Capturing a target object in orbit is very difficult when the object is fast rotating. In this paper, the robot control strategy and the corresponding contact dynamics behavior of the vehicle-robot system are investigated in order to capture a fast rotating object. A nonlinear frictional contact model is proposed to represent the frictional and multiple-point contact phenomenon of the robotic capture problem. The control strategy of the capture operation is a combination of a resolved motion rate control (RMRC) method and an impedance control method, whose control goal is to reduce the relative velocity at the contact spots and increase the compliance of the arm during the pre-capture contacting period. A simulation example of a 3-joint manipulator reaching and capturing a rotating target object is provided to demonstrate the effectiveness of the proposed control method and the contact dynamics modeling and simulation method. The simulation example shows that the proposed control strategy performed very well for the capture of an object having an initial rotation speed of 10 deg/s (1.67 rpm).
Automating the Identification of Illegal Human Activities in the Amazon Rainforest

Forest depletion is among the leading factors exacerbating climate change. The United States Geological Survey provide daily satellite images of the entire planet, including the Amazon rainforest, to the public. This project aims to gather those images, and (1) identify sensitive areas and (2) areas with illicit activities, automating the process of identifying destructive human activities to allow governments and NGOs to respond proactively. For this paper, we chose to focus on the Amazon rainforest, and specifically focus on activities such as farming, logging, and mining. We will perform a series of feature extraction on each image and assess their efficacy with a logistic and softmax regression classifier. Then, we will compare those results to those obtained by a K-means algorithm and neural networks, discussing the accuracy results and steps needed to improve the performance of these models for the final paper. Moreover, we will stitch multiple images to create a bigger neighborhood area map using the classified images. This will serve as the input to neural network to provide us high risk areas given the content in the image.
EFFECT OF QUERCETIN-γ-CYCLODEXTRIN COMPLEX ON VASCULAR PERFUSION IN CHORIOALLANTOIC MEMBRANE OF CHICK EMBRYO

3.1. 1 Quercetin Quercetin (Fig. 1) belongs to the chemical class of flavonoid and is widely distributed in vegetables and plants. It has been demonstrated to possess a wide array of biological effects that are considered beneficial to health, including antioxidative, free radical scavenging, anticancer, and antiviral activities (Formica & Regelson 1995). However, quercetin is sparingly soluble in water, which has limited its absorption upon oral administration (Zheng et al. 2005).
Integrity-Based Fault Detection for GNSS Navigation Safety

With the currently expanding industry for self-driving cars and autonomous vehicles, we are experiencing the birth of a new era of day-to-day transportation. Most of these autonomous platforms require the use of Global Navigation Satellites and Systems (GNSS) for localization in a global reference frame; however, in urban environments, corrupted GNSS measurements can lead to localization errors, due to signal reflections and poor satellite geometry. For life-critical navigation applications, it is essential to guarantee a paramount level of safety or navigation integrity. Not only must the agent maintain an accurate position solution, but the errors must be bounded within a protection level, with a high probabilistic guarantee. In this work, we aim to classify a set of received GNSS measurements as safe or unsafe for navigation, given a user-specified probabilistic requirements of safety. The feature vector consists of the received GNSS measurements, including the computed measurement residuals as defined in Sec. 2.3 and the received signal-to-noise ratio (SNR) for each satellite in view. We develop and compare various models from two powerful classification architectures: Support Vector Machines (SVMs) and neural networks and test our classifiers in a simulated urban environment. Code is available at our github repository.
DroidEnergy-Detecting and Alerting Users of Power Supply Failures

In a society where the number and variety of in-house technological devices continues to increase, some of these devices can not tolerate long power supply failures. For instance, a power loss of more than a couple of hours may spoil the food in the refrigerator, or the video surveillance system may become unusable. Currently, existing solutions either provide only a limited outages monitoring (on or off), or are specific products connected to a cloud server that can be scheduled to activate/deactivate outlets and provide a limited set of configurations. The goal of this work is to develop a system that is able to detect power supply failures, their duration, and alert the user of such events according to a flexible range of configurations. The proposed solution, called DroidEnergy, is a system composed by a smartphone application (along with a server for back-office purposes) that is plugged into an electric outlet, and is able to detect outages and alert users. DroidEnergy has several easy to configure features, e.g. alerting the user via e-mail or SMS, can be configured remotely or locally, creating a highly configurable system; we describe the solution design options, as well as the challenges to overcome in order to validate the proposed solution.
Imperfectly-Credible Disin(cid:135)ation of Small In(cid:135)ations

In this paper we study and quantify the e⁄ects of a disin(cid:135)ationary policy on output and welfare. Our focus is the policy question of the optimal response to low in(cid:135)ation.The analysis takes place in the context of a DSGE model with sticky prices, time varying velocity and imperfect credibility. The nonlinear solution method reveals that early output losses may be more pronounced and more prolonged than previously suggested in the literature, and there may be insu¢ cient compensation from a subsequent higher steady state to justify taking any disin(cid:135)ationary policy action in some cases.
Investigating Beliefs:

The present study investigated beliefs of 102 Japanese learners about Japanese onomatopoeia and about Japanese language. The analysis was conducted on two levels: practical level and theoretical level. On the practical level, learners’ beliefs were analyzed to be applied to the context of Japanese language learning. On the theoretical level, an attempt was made to inquire into the structure of learners’ beliefs by distinguishing between different kinds of beliefs (narrow-scope beliefs (beliefs about onomatopoeia) and broad-scope beliefs (beliefs about Japanese language)) and investigating relationships between them. The beliefs were identified by a factor analyses and the correlations between the beliefs were checked by a correlation coefficient analysis. The analysis of the narrow-scope beliefs showed that notwithstanding the perceived difficulties of onomatopoeia, the learners are aware of the importance of acquiring it and have a desire to study it. As for the broad-scope beliefs, the integrative aspects of interest and enjoyment were identified as motivating the learners to engage in Japanese language learning together with the instrumental aspects concerning personal profit and career. Practical and theoretical implications of the results are discussed.
OTT_A_231125 11667..11677

1Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, People’s Republic of China; 2Department of Oncology, Affiliated Nanhua Hospital, University of South China, Hengyang, People’s Republic of China; 3Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, People’s Republic of China; 4Department of Pathology, The Second Xiangya Hospital of Central South University, Changsha, People’s Republic of China; 5Emergency Department, The Third Xiangya Hospital, Central South University, Changsha, People’s Republic of China; 6Department of General Surgery, Xiangya Hospital, Central South University, Changsha, People’s Republic of China Background: Osteosarcoma (OS) is one of the most difficult cancers to treat due to its
A Hybrid Approach to Recommending Recipes with Textual Information

The main problem in this project that we are exploring to solve is to predict rating by a user on a recipe based on two forms of data: 1) previous interactions consisting of users’ ratings on recipes; 2) recipe attributes, mostly in textual form. There are two main approaches, where the first approach is collaborative filtering which mostly relies on the first form of data and the second approach is content-based approach, which mostly relies on item (recipe) attributes. In this project, we hope to explore ways to combine the two approaches in a (hopefully) generalized way: augment latent factors generated from matrix factorization approach with recipe features, which can then be used as augmented features (input) to feed into any reasonable supervised learning algorithms to predict ratings (output).
Knowledge of value creation and sustainable performance

Due to the growing demand for value creation efforts in a firm corporate strategy, there is a need to understand what constitutes value creation and its role in adding value and enabling competitive force and sustainability. This article examines the needs by understanding the conceptual of sustainable performance measurement using value and ethics grounded in literature and Islamic views. The knowledge and insightful understanding about sustainability emerge from multiple perspectives, responsibilities of organizations, religious obligations and ethics. The study discloses that values grounded in the Islamic perspective guide the light to sustainability through justice, balance and moderate. According to halal-based theory, the value creation in halal business model determines the new performance index of sustainable performance measurement. The results indicate the significant value proposition on sustainable performance derived from four P values’ creation on Profit, People, Planet and Product/Service. The constructs and measures of sustainable performance measurements are developed and clarified. The results denote that the role of halal value creation in a firm is an innovative and proactive approach which enhances values of competitiveness and sustainability of firms by generating and maximizing profits (economy), excellence products/services (quality), ensuring the well-being of mankind (society) and the planet (universe).
Weak Supervision with Incremental Source Accuracy Estimation

Motivated by the desire to generate labels for real-time data we develop a method to estimate the dependency structure and accuracy of weak supervision sources incrementally. Our method ﬁrst estimates the dependency structure associated with the supervision sources and then uses this to iteratively update the estimated source accuracies as new data is received. Using both off-the-shelf classiﬁcation models trained using publicly-available datasets and heuristic functions as supervision sources we show that our method generates probabilistic labels with an accuracy matching that of existing off-line methods. models and heuristic functions as supervision sources as a transfer learning problem and we show that our method generates labels which are more accurate than those generated by the supervision sources themselves.
Personal Area Networks Using Mobile Terminals

The total number of mobile terminal subscribers has reached 88 million (as of the end of August, 2005) and it appears that the diffusion rate will soon reach 70%. Through the popularization of mobile Internet services including i-mode, various data communication forms spreading on the Internet, such as Website browsing and e-mail exchange, were made possible via mobile terminals as well. Moreover, with the introduction and diffusion of Third-Generation mobile communication system, not only has the network bandwidth become broader, but the availability of additional mobile terminal functions, including Infrared Data Association (IrDA), cameras and credit settlement ICs, has also become significantly advanced. New demands for direct communication with peripheral devices via mobile terminals to simplify operation of information appliances, printing of camera images and settlement processing at cash registers are rising. Moreover, due to the progress of short-range wireless communication technologies such as Bluetooth TM*1 and ZigBee, *2 the ubiquitous network environment that allows connecting to networks of omnipresent devices at all times has become a reality. Not all devices that are connected to public networks, however, a fair number of them are configured in local ad-hoc communication networks. As a communication form to make better use of such local devices, it can be considered that mobile terminal users establish communication with the devices using their mobile terminals while moving closer to the devices. If mobile terminals are equipped with short-range wireless communication functions, the roles of mobile terminals will be expanded to acting as gateways that can connect the devices to the Internet. Through such diversification of the communication means as well as growing availability of communication enabled devices, it can be expected that the usage applications of mobile terminals will expand. As one of the methods to implement such communication environment, we propose a network model where a direct-link network is established between mobile terminals and surrounding devices, so that the devices can be operated and data can be communicated with other terminals by linking the local communication network and cellular networks covering the area. This article introduces the service framework of the network model we propose, and discusses the main technical issues.
Implementing an optical multi-touch technique on a hemispherical display

Multi-touch detection for flat surfaces has been well-covered in the literature, but using a surface with a different shape often introduces new problems for touch detection techniques. This thesis considers the application of different techniques to a hemispherically shaped screen and describes the complete implementation of a system based on Rear Diffused Illumination, an optical multitouch technique. In this technique a camera is used to recognise touches on a diffuse surface as blobs. Three methods will be introduced for translating the location of these blobs on the camera image to locations on the actual display. These approaches are based on the following principles. The first approach requires the user to touch a lot of known points such that the position of any new blobs can be found by comparing their position to the positions of known points. In the second method the user indicates how the images projected onto the sphere are distorted due to the camera’s point of view, by touching four points. The final approach is based on finding a camera matrix which can be used to describe how points on the camera’s image map to a plane in world coordinates. The line (ray of light) from the camera through this plane intersects with the screen at the location of the touch. Several experiments will be proposed for comparing these methods as well as rating the adequacy of the system’s touch detection as a whole. These experiments have not yet all been completed due to an as of yet incomplete implementation, but the results so far as well as future work will be discussed. The resulting improvements of this work might be presented near the end of august.
Thank you, Next: Using NLP Techniques to Predict Song Skips on Spotify based on Sequential User and Acoustic Data

Music consumption habits have changed dramatically in the past decade with the rise of streaming services such as Spotify, Apple Music, and Tidal. Today, these services are ubiquitous. These music providers are also incentivized to provide songs that users like in order to create better user experience and increase time spent on their platform. Thus, an important challenge to music streaming is determining what kind of music the user would like to hear. The skip button is one feature instance on these music services that plays a large role in the users experience and helps identify what a user likes, as with this button, users are free to abandon songs as they choose. Thus, in this project, we will build a machine learning model that will predict if a user will skip a song or not given information about the user’s previous actions during a listening session along with acoustic features of the previous songs.
Implementation of Three Phase Transformer less PV Grid-Connected System

The traditional grid-connected PV inverter includes either a line frequency or a high frequency transformer between the inverter and grid. The transformer provides galvanic isolation between the grid and the PV panels. In order to increase the efficiency, to reduce the size and cost, the effective solution is to remove the isolation transformer. It leads to appearance of common mode (CM) ground leakage current due to parasitic capacitance between the PV panels and the ground. The common mode current reduces the efficiency of power conversion stage, affects the quality of grid current, deteriorate the electric magnetic compatibility and give rise to the safety threats. A three phase three-level topology for transformer less photovoltaic systems is presented in this Paper. The CM ground leakage current can be suppressed completely. Virtual DC bus is created to provide the negative voltage level for the negative AC grid current generation. The virtual DC bus is realized with the switched capacitor technology that uses less number of elements. Therefore, the power electronic cost can be reduced. A suitable switching strategy is employed to regulate the flying-capacitor voltage, improve the efficiency (most devices switch at the grid frequency), and minimize the common-mode leakage current with the help of a novel dedicated circuit (transient circuit). The simulation result of the proposed topology using MATLAB/SIMULINK.
Documentation Is All You Need

Documentation, which provides a high-level description of the task performed by the source code, is a must-have for team-based software development groups. Conversely, even with various tools that have been developed to aid the programmer during its creation, crafting correct and consistent documentation for source codes remains a labor-intensive task. Thus, significant gaps in documentation are ubiquitous and considerably contribute to the inefficiency of program comprehension by software engineers. In this paper, I try to generate function descriptions from Python source code using a 178M parameter Transformer with pre-trained embeddings. Nonetheless, our final model was not able to reach state of the art performance.
Gendered Gaming: Online Fandom Roleplay and Female Gamers

There is no question that women game; studies have shown that 52% of the gaming population is female (Jayanth, 2014, p. 1), but the industry and popular stereotypes are still struggling to catch up. I propose digital fandom roleplay as a possible research site for emerging scholarship on women and gaming communities, as it is a female-dominated population with a public, accessible, written archive of interactions, including public and anonymous discourse. Current research into gender and gaming has offered some promising insights into how physical contexts and demographics impact the way women participate in gaming. Considering fandom roleplay as a context for study can bridge the gap between existing work on gender and fanfiction and the present dominant research on female gamers in school settings. It also allows for a different view of an online gaming community than MMOs, where female players are often outnumbered and silenced due to harassment and othering based on their gender. In a topic where much of the conversation is oversimplified due to the difficulty created by social stereotyping and spatial limitations, this digital gaming community could add complexity to analysis of how female gamers navigate their gaming identities in social spaces.