Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced Perception Systems for Intelligent Agricultural Vehicles

—This paper describes latest research by the authors in the development of advanced perception systems and methods for intelligent agricultural vehicles. Innovative results in the context of terrain estimation and in-ﬁeld phenotyping, based on multi-sensor devices integrated on-board mobile robotic platforms, are presented. Aim of this research is to facilitate operations on a narrow scale that may be useful to increase precision during farming operations, as well as to improve the level of driving automation of vehicles by providing fast automated safety responses, traversability assessment and controlled trafﬁc
A Novel Water-soluble Nonbenzodiazepine Sedative

Background: JM-1232(–), (–)-3-[2-(4-methyl-1-piperazi-nyl)-2-oxoethyl]-2-phenyl-3,5,6,7-tetrahydrocyclopenta[ f ]isoindol-1( 2H )-one, molecular formula, C 24 H 27 N 3 O 2 ; molecular weight, 389.49, is a novel isoindoline water-soluble benzodiazepine receptor agonist with favorable anes-thetic/sedative properties in animals. MR04A3 is a 1% aqueous presentation of JM-1232(–). Methods: In Step 1, healthy male volunteers received 10-min infusions of MR04A3, 0.05, 0.1, 0.2, 0.4, and 0.8 mg/ kg, with three MR04A3 subjects and one placebo subject per dose concentration. In Step 2, doses were 0.025, 0.05, 0.075, 0.1, 0.2, 0.3, and 0.4 mg/kg over 1 min with six MR04A3 subjects and one placebo subject per dose concentration. Results: Hypnotic effects of MR04A3 were seen at all dose concentrations in Step 1 and at doses of 0.075 mg/kg or more in Step 2. Central nervous system effect was seen at all dose concentrations with larger doses of MR04A3 producing a deeper and longer reduction in bispectral index. Ramsay sedation
Influence of MOBA Game Skills to Perceived Cognitive Functions Among Students of Jose Maria College

----------------------------------Abstract: MOBA games have become the rage in today's society. This has become the most popular form of entertainment among younger generations. This tendency has caused researchers to focus on its effects on Perceived Cognitive Functions, particularly among Jose Maria College students. The study took place at Jose Maria College, 8000 Davao del Sur, Philippines-Japan Friendship Highway, Davao City. Fifty-four (54) MOBA gamers were chosen to take part in the interviews, which were conducted using survey questionnaires. This research focuses on Multiplayer Online Battle Arena (MOBA) Game Skills, as well as the knowledge and explanation of how MOBAs are currently integrated into Perceived Cognitive Functions. The purpose of this study was to look into the aspects and ideas of MOBA Game Skills and how they connect to Perceived Cognitive Functions. According to the findings, the respondents' mean level of MOBA Game Skills is 3.71, with a standard deviation of 1.081. This demonstrates that the respondents' MOBA Game Skills are quite high. The mean of the respondents' Level of Perceived Cognitive Functions is 4.10, with a standard deviation of.524. This demonstrates that respondents' Perceived Cognitive Functions are high. Students who played MOBA games had no influence on cognitive functions such as decision making, attention and concentration, or social skills, according to the research .
Query Specific Fusion For Image Retrieval System

: This paper presents a new majority voting technique combines the two basic modalities of Web images textual and visual features of image in a re-annotation and search based framework. The proposed framework considers each web page as a voter to vote the relatedness of keyword to the web image, the proposed approach is not only pure combination between image low level feature and textual feature but it take into consideration the semantic meaning of each keyword that expected to enhance the retrieval accuracy. The proposed approach is not used only to enhance the retrieval accuracy of web images; but also able to annotate the unlabeled images.
WFDC1/ps20 Is a Novel Innate Immunomodulatory Signature Protein of Human Immunodeﬁciency Virus (HIV)-Permissive CD4 (cid:1) CD45RO (cid:1) Memory T Cells That Promotes Infection by Upregulating CD54 Integrin Expression and Is Elevated in HIV Type 1 Infection (cid:1)

Understanding why human virus (HIV) preferentially infects some CD4 memory T cells has implications for antiviral immunity and pathogenesis. We report that differential expres- sion of a novel secreted factor, ps20, previously implicated in tissue remodeling, may underlie why some CD4 T cells are preferentially targeted. We show that (i) there is a signiﬁcant positive correlation between endogenous ps20 mRNA in diverse CD4 T-cell populations and in vitro infection, (ii) a ps20 (cid:1) permissive cell can be made less permissive by antibody blockade- or small-interference RNA-mediated knockdown of endog- enous ps20, and (iii) conversely, a ps20 low cell can be more permissive by adding ps20 exogenously or engineering stable ps20 expression by retroviral transduction. ps20 expression is normally detectable in CD4 T cells after in vitro activation and interleukin-2 expansion, and such oligoclonal populations
Scattering of Electromagnetic Waves: Theories and Applications

Introduction to Electromagnetic Scattering by a Single Particle. Basic Theory of Electromagnetic Scattering. Fundamentals of Random Scattering. Characteristics of Discrete Scatterers and Rough Surfaces. Scattering and Emission by Layered Media. Single Scattering and Applications. Radiative Transfer Theory. Solution Techniques of Radiative Transfer Theory. One-Dimensional Random Rough Surface Scattering. Index.
(2016). Autophagy, lipophagy and lysosomal lipid storage disorders. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids , 1861 (4), 269-284.

Autophagyisacatabolicprocesswithanessentialfunctioninthemaintenanceofcellularandtissuehomeostasis. It is primarily recognised for its role in the degradation of dysfunctional proteins and unwanted organelles, howeverinrecentyearstherangeofautophagysubstrateshasalsobeenextendedtolipids.Degradationoflipids viaautophagyistermedlipophagy.Theabilityofautophagytocontributetothemaintenanceoflipo-homeostasis becomes particularly relevant in the context of genetic lysosomal storage disorders where perturbations of autophagic ﬂ ux have been suggested to contribute to the disease aetiology. Here we review recent discoveries of the molecular mechanisms mediating lipid turnover by the autophagy pathways. We further focus on the relevance of autophagy, and speci ﬁ cally lipophagy, to the disease mechanisms. Moreover, autophagy is also discussed as a potential therapeutic target in several key lysosomal storage disorders. ©
Three-point MPPT technique for photovoltaic systems

— Renewable energy is generally defined as energy that comes from resources which are naturally replenished on a human timescale, such as sunlight, wind, rain, tides, waves, and geothermal heat. Of all the renewable sources of energy, one of the most easily trappable is the solar energy. This project aims at designing a solar panel that taps the maximum output power through a maximum power tracking technique. The solar panel has been designed by taking the diode equivalent circuit of a PV cell and connecting these individual cells in a combination to generate the required power output. Through 3 point Maximum Power Tracking Technique, the maximum output is fed to boost converter that steps up the voltage to the value as determined by the design of the boost. This design is simulated in Mat lab Simulink.
I NTERNATIONAL J OURNAL OF R ESEARCH S CIENCE & M ANAGEMENT PROMOTING RELAXATION, EXERCISE AND BIODIVERSITY THROUGH THE URBAN STREAM CORRIDORS

Stream corridors are an important urban landscape unit that should be developed for recreation, exercise and biodiversity. However, Akure stream corridors are hardly used for these purposes. The absence of local riparian buffer ordinances further complicates the problem. This makes the benefits of urban stream corridors to be little appreciated in the city. This paper examines the pattern of usage of Akure urban stream corridors, and the constraints to their development for relaxation, exercise and biodiversity. Until now, research attention into Akure stream corridor benefits is lacking. A total of 317 structured questionnaires were administered across the city’s built-up area. This was complemented with interviews and observations. Analysis of the data was executed in SPSS Version 22.0. The Bartlett’s test indicated that the samples were adequate. The minimum Cronbach’s alpha was 0.744. This met the criteria for validity and reliability. Rather than develop Akure stream corridors for relaxation, exercise and biodiversity, they are gradually depleted for residential and commercial uses. Combining the local riparian buffer ordinances with mass education, may instigate a commitment of the urban stream corridors towards relaxation, exercise and biodiversity by the planners, policy makers, and the residents.
Perspective Intestinal organoids as tools for enriching and studying specific and rare cell types: advances and future directions

Adult tissue-derived organoids allow for the expansion and maintenance of primary epithelial cells in a near-native state. These 3 D and self-organizing orga-notypic cultures derived from adult tissues have been increasingly used in fundamental and translational research. is it recapitulates the cell lineage the differentiated cell-type heterogeneity of the in vivo tissue of be to different cell lineages, for the study of rare cell types that would be very difficult to analyze. Here, focusing specifically on organoids of the small intestine, we discuss recent advances and future directions of this new avenue of organoid research. We highlight methods used to enrich specific cell types including stem cells, Paneth goblet micro-fold (M)-cells, tuft and enteroendocrine (EECs) in intestinal and on each of has us about the differentiation of adult intestinal stem cells (ISCs) to specific cell fates. Furthermore, we highlight how these new cell type-enriched intestinal organoids can be used to answer a diversity of questions relevant to human biology and disease.
A Framework and Review of Customer Outage Costs: Integration and Analysis of Electric Utility Outage Cost Surveys

A clear understanding of the monetary value that customers place on reliability and the factors that give rise to higher and lower values is an essential tool in determining investment in the grid. The recent National Transmission Grid Study recognizes the need for this information as one of growing importance for both public and private decision makers. In response, the U.S. Department of Energy has undertaken this study, as a first step toward addressing the current absence of consistent data needed to support better estimates of the economic value of electricity reliability. Twenty-four studies, conducted by eight electric utilities between 1989 and 2002 representing residential and commercial/industrial (small, medium and large) customer groups, were chosen for analysis. The studies cover virtually all of the Southeast, most of the western United States, including California, rural Washington and Oregon, and the Midwest south and east of Chicago. All variables were standardized to a consistent metric and dollar amounts were adjusted to the 2002 CPI. The data were then incorporated into a meta-database in which each outage scenario (e.g., the lost of electric service for one hour on a weekday summer afternoon) is treated as an independent case or record both to permit comparisons between outage characteristics and to increase the statistical power of analysis results. Unadjusted average outage costs and Tobit models that estimate customer damage functions are presented. The customer damage functions express customer outage costs for a given outage scenario and customer class as a function of location, time of day, consumption, and business type. One can use the damage functions to calculate outage costs for specific customer types. For example, using the customer damage functions, the cost experienced by an “average” customer resulting from a 1 hour summer afternoon outage is estimated to be approximately $3 for a residential customer, $1,200 for small-medium commercial and industrial customer, and $82,000 for large commercial and industrial customer. Future work to improve the quality and coverage of information on the value of electricity reliability to customers is described.
Title: Developing an automatic system for classifying chatter about health services from Twitter: A case study for Medicaid

: Background: The wide adoption of social media in daily life renders it a rich and effective resource for conducting close-to-real-time assessments of consumers’ perceptions about health services. This is, however, challenging due to the vast amount of data and the diverse content in the social media chatter. Objectives: To develop and evaluate an automatic system, involving natural language processing and machine learning, for automatically characterizing user-posted Twitter data about healer services, using Medicaid, the single largest insurance in the United States, as an example. Methods: We collected data from Twitter in two ways: (i) via the public streaming API using Medicaid-related keywords (Corpus-1), and (ii) by using the website’s search option for tweets mentioning the agency-specific handles (Corpus-2). We manually labeled a sample of tweets into five pre-determined categories or other , and artificially increased the number of training posts from specific low-frequency categories. Using the manually-labeled data, we trained and evaluated several supervised learning algorithms, including Support Vector Machine, Random Forest (RF), Naïve Bayes, shallow Neural Network (NN), k-Nearest Neighbor, Bi-Directional Long Short-Term Memory, and Bidirectional Encoder Representations from Transformers (BERT). We then applied the best-performing classifier to the collected tweets for post-classification analyses assessing the utility of our methods. Results: We manually annotated 11,379 (Corpus-1: 9,179; Corpus-2: 2,200) tweets, using 7,930 (69.7%) for training and 1,449 (12.7%) for validation and 2,000 (17.6%) for test. A BERT-based classifier obtained the highest accuracies (81.7%, Corpus-1; 80.7%, Corpus-2) and F 1 -score on Consumer Feedback (0.58, Corpus-1; 0.90, Corpus-2), outperforming the second-best classifiers in accuracies (74.6%, RF on Corpus-1; 69.4%, RF on Corpus-2) and F 1 -score on Consumer Feedback (0.44, NN on Corpus-1; 0.82, RF on Corpus-2). Post-classification analyses revealed differing inter-corpora distributions of tweet categories, with political (64%) and consumer-feedback (55%) tweets being the most frequent for Corpus-1 and -2, respectively. Conclusions: The broad and variable content of Medicaid-related tweets necessitates automatic categorization to identify topic-relevant posts. Our proposed system presents a feasible solution for automatic categorization, and can be deployed/generalized for health service programs other than Medicaid. Annotated data and methods are available for future studies (https://yyang60@bitbucket.org/sarkerlab/medicaid-classification-script-and-data-for-public).
ANALYZING THE EARLIER AND MODERN THINKING IN CONVERGENCE THEORY

The convergence theory has two variants. One is the economic, which is based on the thesis that capitalism and socialism are gradually drawing closer and that the differences between them are disappearing. The other is the sociological variant, which holds that not only the economic but also the social systems, including the entire range of political, economic and other social relations, reveals this trend towards mutual drawing together and eventual merger into single system. A general sociological study of convergence theory is beyond the scope of this study, which is intended as a study of the theory only on its economic aspect. With the aid of secondary data, we analyzed the earlier and modern thinking in convergence theory and argues that the earlier one represented attempts by the capitalist and socialist countries to achieve social peace through welfare-related reforms and programs, while the core notion of the convergence theory of today is modified in recognition that as nations achieve similar levels of economic development, they becomes more alike in terms of different aspects of social life. Growing attention to large-scale changes in economic, technological, and cultural relations which were inspired by globalization has renewed interest in today’s idea of convergence. Criticisms of both the old and modern convergence theory are also presented in this paper.
Challenges in forecasting management for global companies

In today’s fast-moving world, a company ́s ability to align with changes in the market is becoming a major competitive factor. Demand forecasting form the basis of all supply chain planning and is a process that companies often fail to recognize as a key contributor to corporate success. Different contexts and market dynamics creates different challenges for companies to overcome in order to have an efficient forecasting process, matching demand with supply. This master thesis looks at the whole forecasting process, also called forecasting management, at a decentralized global company to identify the main challenges within the process and propose recommendations on how to overcome them. The research is based on a single case study where the forecasting process is investigated using four different dimensions: Functional Integration, Approach, Systems and Performance Measurements. The study identified twelve challenges in the forecasting process where a majority can be connected to issues within information sharing and lack of support in the process. Based on the identified challenges, eight improvement suggestions where developed to target the challenges and improving the process for a decentralized global company.
Mobile Robot Localisation and Terrain-Aware Path Guidance for Teleoperation in Virtual and Real Space

– This paper concerns the development of a force feedback enhanced teleoperation system for outdoor robotic vehicles navigating in rough terrain where true-colour 3D virtual world models of the working environment, created from laser and colour image scans collected offline, can be explored by walk-throughs both before and during the robot navigation mission itself. In other words, the physical mission intended can be partially rehearsed in cyberspace[1]. Further, during a mission, the location and orientation (localisation) of the vehicle are continually determined and global collision-free paths to selected goal locations made available as advice to the operator, who can follow or ignore such advice at will. Live (real-time) 3D laser range data also provides an up-to-date scan of the volume immediately surrounding the vehicle as it moves so that dynamic obstacles can be avoided. Local terrain-roughness is taken into account in the provision of local collision-free paths, the sub-goals of which are operator determined. This live range data is matched with the pre-scanned range data to calculate the accurate robot vehicle localisation (position and orientation) which is provided continuously during the navigation mission. A force feedback 3D joystick reflects terrain roughness as a vibration in one axis and the other two axes are used to provide a 2D force to attract the operator towards following the local optimal collision-free path, but this attraction can be easily overridden by the operator. The instrumentation and methodologies used for localisation, path
Ageing and Efﬁciency Aware Battery Dispatch for Arbitrage Markets Using Mixed Integer Linear Programming

: To achieve maximum proﬁt by dispatching a battery storage system in an arbitrage operation, multiple factors must be considered. While revenue from the application is determined by the time variability of the electricity cost, the proﬁt will be lowered by costs resulting from energy efﬁciency losses, as well as by battery degradation. In this paper, an optimal dispatch strategy is proposed for storage systems trading on energy arbitrage markets. The dispatch is based on a computationally-efﬁcient implementation of a mixed-integer linear programming method, with a cost function that includes variable-energy conversion losses and a cycle-induced battery capacity fade. The parametrisation of these non-linear functions is backed by in-house laboratory tests. A detailed analysis of the proposed methods is given through case studies of different cost-inclusion scenarios, as well as battery investment-cost scenarios. An evaluation with a sample intraday market data set, collected throughout 2017 in Germany, offers a potential monthly revenue of up to 8762 EUR/MWh cap installed capacity, without accounting for the costs attributed to energy losses and battery degradation. While this is slightly above the revenue attainable in a reference application—namely, primary frequency regulation for the same sample month (7716 EUR/MWh cap installed capacity)—the situation changes if costs are considered: The optimisation reveals that losses in battery ageing and efﬁciency reduce the attainable proﬁt by up to 36% for the most proﬁtable arbitrage use case considered herein. The ﬁndings underline the signiﬁcance of considering both ageing and efﬁciency in battery system dispatch optimisation.
Template Matching for Target Tracking from the Bayesian Probability Fusion of Two Different Matching Algorithms

In this paper a Bayesian probability hybrid based template matching method is proposed for target tracking. Two different template matching methods are weighted by their matching probabilities and then combined through the Bayesian theory to give a f inal robust template updating and matching. Here the matching probability for each method is assigned with a Gaussian Probability Distribution Function (PDF). Then the template’s best matched region in the image is estimated with the maximum likelihood algorithm from the joint distribution of these two template matching PDFs. In this paper the f irst method is the commonly used Sum of the Squared Errors (SSE) template matching method. The second one is the Gaussian Mixture Models (GMMs) method, which is used to represent the template’s appearance features. With the fusion of these two template matching methods, the algorithm in this paper can well deal with the problems in template matching such as template drifting, shape rotation, appearance changes, occluded object tracking or environmental lighting condition changes.
Cosmology of hidden sector with Higgs portal

In this thesis, we are investigating cosmological implications of hidden sector models which involve scalar fields that do not interact with the Standard Model gauge interactions, but couple directly to the Higgs field. We particularly focus on their relic particle density as a candidate for dark matter. For the case of hidden sector without a gauge field we have improved the accuracy of the bounds on the coupling constant and give bounds on the Lagrangian parameters. Models with Abelian and non-Abelian gauge fields are also studied with relic density bounds, BBN and galactic dynamics constraints. Several discussions on phase transitions and alternative dark matter candidates are included. Thesis Supervisor: Frank Wilczek Title: Herman Feshbach Professor of Physics