Miracle-dz/UniFAR-FTUs huggingface dataset:
Applying Topic Modeling for Automated Creation of Descriptive Metadata for Digital Collections

Creation of descriptive metadata for digital objects tends to be a laborious process. Specifically, subject analysis that seeks to classify the intellectual content of digitized documents typically requires considerable time and effort to determine subject headings that best represent the substance of these documents. This project examines the use of topic modeling to streamline the workflow for assigning subject headings to the digital collection of New Mexico State University news releases issued between 1958 and 2020. The optimization of the workflow enables timely scholarly access to unique primary source documentation.
Observer-Based Quadratic Guaranteed Cost Control for Linear Uncertain Systems with Control Gain Variation

This study proposes a method for designing observer-based quadratic guaranteed cost controllers for linear uncertain systems with control gain variations. In the proposed approach, an observer is designed, and then a feedback controller that ensures the upper bound on the given quadratic cost function is derived. This study shows that sufficient conditions for the existence of the observer-based quadratic guaranteed cost controller are given in terms of linear matrix inequalities. A sub-optimal quadratic guaranteed cost control strategy is also discussed. Finally, the effectiveness of the proposed controller is illustrated by a numerical example. The result shows that the proposed controller is more effective than conventional methods even if system uncertainties and control gain variations exist.
ARCHITECTURAL-BUILDING AERODYNAMICS

this article gives a brief historical digression about the formation of architectural and building aerodynamics as a separate branch of the construction science. the main methods and approaches to the solution of problems of architectural and building aerodynamics are listed; the classification of problems of aerodynamics of structural steel according to the studied objects is given; main peculiarities of the research in selected areas are briefly indicated. The aim of the work is to systematize existing approaches to assessing wind impact on structural steel taking into account some modern international requirements, as well as to choose the optimal method for solving this problem in relation to various structural steel. It is established that, currently, the study about wind impact is especially important for high-rise buildings, structures, and structural steel nonresistant to dynamic loads (long span bridge conduits, gins polarized, thin-shell tubes, etc.), as well as for residential estates with restrained urban conditions. It is necessary to carry-out these aerodynamic studies at the designing stage for the above objects because it is directly related to the issues of reliability and safety.
Sentience in decapods: Difficulties to surmount

: In the target article Crump et al. present 8 criteria to assess whether decapods experience pain. Four of these -- sensory integration, motivational trade-offs, flexible self-protection, and associative learning -- could be used to assess sentience in general. In this commentary I discuss difficulties with using these criteria to provide evidence of sentience in decapods, particularly if this evidence is to change public opinion and policies. These difficulties are lack of evidence, the potential to eventually explain the neurobiological basis of the behaviors chosen as criteria, thereby eliminating any explanatory work for sentience, and the reluctance to bring animals that are not cuddly under our moral umbrella.
Knowledge, practices and intention to consume omega 3 and omega 6 fatty acids among pregnant and breastfeeding women in Morogoro Municipality, Tanzania

Omega 3 and omega 6 fatty acids are beneficial throughout the human life cycle. With regard to early child development, maternal fatty acid status influence cognitive and psychomotor development of the unborn child. Regardless of their importance in early childhood development they still receive less attention when compared to other nutrients. This paper aimed to assess knowledge, practices and intention to consume omega 3 and omega 6 fatty acids among pregnant and breastfeeding women in Morogoro Municipality and the study adopted the Theory of Planned Behavior (TPB). A cross-sectional survey which involved 318 randomly selected pregnant and breastfeeding women was conducted in three wards of Morogoro Municipality. Data were collected through face to face interview using a questionnaire. Statistical Package for Social Sciences (SPSS) version 20 was used for data analysis. Knowledge, Attitude and Practices (KAP) Scores were compared with demographic characteristics by Analysis of variance (ANOVA) with the level of significance set at p<0.05. The findings revealed limited knowledge on omega 3 and omega 6 fatty acids. However most of the participants showed positive attitude towards omega 3 and omega 6 fatty acid food sources and they intended to use them in the future if they are properly trained. Level of education had a significant influence on respondents’ knowledge (p = 0.003) and attitudes (p = 0.004). It was concluded that, any attempt to increase consumption of omega 3 and omega 6 fatty acids among pregnant and breastfeeding women in Tanzania have to pay attention on their knowledge, attitudes and beliefs.
Who Benefits from Platform Entry if Multi-Agent Prices Signal Product Quality?

Merchants are wary of a platform entering as a competitor and adversely affecting sales and margins. A platform wanting to maximize profits is interested also in gaining consumer trust and confidence by providing credible quality information to consumers. As a practical matter, could a platform benefit by entering, by using multi-sender prices as signals to alleviate consumers’ uncertainty of quality? Further, can a merchant also benefit from platform entry? We answer these questions by analyzing strategic pricing by a platform and merchant under quality uncertainty. We innovate by modeling platform-merchant competition in a leader-follower framework. We invoke what we label Perfect Bayesian-consistent beliefs to characterize the sub-game perfect pricing strategy that is also PBE with consumers resolving quality uncertainty using both platform and merchant prices. A substantive finding is that platform entry can raise merchant profits when the quality is high: by moving the equilibrium from pooling to separating, and supporting higher prices. We find that platform entry and resulting multi-agent signaling can also help to inform consumers of quality. Consumers can benefit by lower prices and increased market coverage due to seller competition. An important result is that conditions exist for an equilibrium outcome identical to complete information.
A REVIEW OF FUEL CELL POWERED MOBILE ROBOTS

Abstract. Fuel cell is emerging as one of the most promising renewable energy technologies. Extensive researches on fuel cell technology and its applications are been conducted. This paper reviews the feasibility of fuel cell powered mobile robots. Fuel cell types, specifications, and characteristics are thoroughly explained. The concept of energetic autonomy of mobile robots and detailed description of the components required to convert conventional mobile robots to fuel cell powered mobile robots are discussed in this paper. Discussion on advantages and disadvantages of this system relative to conventional one are also addressed. Keywords: Fuel cell, mobile robot, renewable energy 1. INTRODUCTION A mobile robot is a mechanical device that performs useful work amount of energy with it in order to achieve a useful in a field application and that can transport itself under its own power. Examples vary in scale from milliwatts to megawatts. The field of mobile robotics places stringent demands on the power system. Energetic autonomy, or the ability to function for a useful operation time independent of any tether, refuelling, or recharging, is a driving force in a robot designed for a field application. robot designed to autonomously navigate a mountainous The device that enables mobile operation is the power system, defined here as the group of devices that store a quantity of transported energy and transform it at a desired rate into output energy, typically mechanical rotary or translational energy. operation time fails the second A power system is made up of two types of generalized components: the energy source, defined as a device or substance energy, and energy converters, defined as devices, which receive energy in one form as input and transform it into another form as output. the ground and need not be moved. For a typical lab scale mobile robot, a common power source is a conventional lead acid battery, which possesses engines but rather electrochemical devices and area need for lengthy process prior to utilization. This paper will review the application of fuel cell as the alternative power source and will discourse the comparison of these two systems as well as potential future researches in this field. Focus will be given to various components that made up the fuel cell system.
A Decade Review on Smart Cities: Paradigms, Challenges and Opportunities

Smart City has been an emerging research domain for Government, Businesses, and researchers in the last few years. The Indian government is also interested and investing lots of funds to develop smart cities. These cities are technology-based and require interdisciplinary research and development for successful implementation. Over the last few decades, various technological interventions have created a tendency to provide smart everyday objects to make human life more comfortable. The emergence of the smart city paradigm is a response to creating a future city that guarantees the well-being and rights of its citizens from the perspective of industrial development: industry, urban planning, environment, and sustainable development. There are several subdomains in the smart city for the research. To work with the different subdomains in a smart city, proper guidance about the background of the smart city is required. This research paper is a guide for the same. This research paper represents a systematic literature review of the smart city domain. This paper carries out a systematic review of research papers published in various well-reputed journals like IEEE, Springer, Elsevier, etc., between 2011 and 2021. This paper will help the government, businesses, and researchers aiming to enhance the smart city concept. Initially, this paper discusses the origin and emergence of this concept, followed by a few definitions and characteristics with the real roadmap and primary supporting pillars of the smart city. This paper discusses a typical architecture having different layers like Sensing, Transportation, Data Management, and Application Layers. There are various supporting technologies and platforms for the smart city; hence implementations are impossible without these technologies and media. This research paper discusses different components of the smart city. A broad literature survey is being done to observe various challenges, opportunities, and future trends in the smart city. This research paper can guide the researchers and provide the research direction in the smart city domain.
Design and Development of Grey Wolf Metaheuristic Technique with Application to Combinatorial Optimization Problem

Classical algorithms are unable to find the optimal solution for many real life problems. Metaheuristic algorithms were developed to solve these problems. These are popular due to their easy implementation and flexible nature. These algorithms are inspired from behaviour of bird/animals, collective intelligence of swarms, logical behaviour of physical processes occurred in the nature. Grey Wolf Algorithm (GWA) is one of the recent developed meta-heuristic techniques and has been used for solving many optimization problems. The main aim of this dissertation is to develop an improved version of classical Grey Wolf Algorithm (GWA). GWA is inspired from social leadership and hunting mechanism of grey wolves. The two control parameters namely A and C are greatly affect the performance of GWA. The improvement has been done in GWA for further exploration and exploitation. The proposed algorithm is tested on thirteen benchmark functions and a comparative analysis is made with other well-known metaheuristic algorithms.
Relative Pose from a Calibrated and an Uncalibrated Smartphone Image

In this paper, we propose a new minimal and a non-minimal solver for estimating the relative camera pose together with the unknown focal length of the second camera. This configuration has a number of practical benefits, e.g., when processing large-scale datasets. Moreover, it is resistant to the typical degenerate cases of the traditional six-point algorithm. The minimal solver requires four point correspondences and exploits the gravity direction that the built-in IMU of recent smart devices recover. We also propose a linear solver that enables estimating the pose from a larger-than-minimal sample extremely efficiently which then can be improved by, e.g., bundle adjustment. The methods are tested on 35654 image pairs from publicly available real-world and new datasets. When combined with a recent robust estimator, they lead to results superior to the traditional solvers in terms of rotation, translation and focal length accuracy, while being notably faster.
Recognition of Family Life by Children Living in Kinship Care Arrangements in England

Kinship care is the long-term caring arrangement within the family constellation for children who cannot remain with their birth parents. Despite being the most prevalent alternative care arrangement for children worldwide, there are significant gaps in the knowledge about kinship care and few children’s perspectives in kinship care research. This article focuses on how children’s views, understood through theories of recognition, can assist understanding their lived experiences in kinship care. The recognition of kinship care has implications on how it is supported, regulated and financed. Insights were drawn from nineteen children in England using dialogical participation and critical realism methodologies, and methods such as child-led tours, photo-elicitation and visual methods. Analysis of the children’s insights unsettles simplistic dichotomous recognition of kinship care, family, participation and childhood seen in most current UK social work policy and practice. The research also demonstrates that children’s views are worthy of further inclusion in social work policy, practice and research, especially for kinship care.
Evaluating the Effects of Separate and Concomitant Use of MK-2206 and Salinomycin on Prostate Cancer Cell Line.

Background Prostate cancer is known as one of the most prevalent health disorders in the male population globally. The aim of the current study was to evaluate the effects of separate and concomitant use of MK-2206 and salinomycin on prostate cancer cell line. Methods The antitumor potential of separate and concomitant use of MK-2206 and salinomycin was evaluated in a panel of prostate cancer cell line (PC-3). To get insights into the underlying mechanism of action, different assays including the rate of apoptosis, cell viability, and gene expression were performed in treated prostate cancer cells. Results A significant reduction was detected in the viability percentage of prostate cancer cells (p< 0.001) and the rate of Akt expression (p< 0.001) in all salinomycin, MK-2206, and salinomycin+MK-2206 groups compared to the negative control group. Furthermore, in comparison with the negative control group, there was a notable increase in both the rate of Bad expression (p< 0.001) and prostate cancer cells apoptosis after salinomycin, MK-2206, and salinomycin+MK-2206 treatments. Moreover, the concomitant use of salinomycin+MK-2206 revealed synergistic improvements regarding the viability of prostate cancer cells and the rate of the Akt and Bad expressions compared to the separate administration of salinomycin and MK-2206 (all p< 0.05). Conclusion The findings of the present study may contribute to improving the efficacy of the therapies regarding the management of prostate cancer and providing a beneficial strategy in clinical trials.
The Design and Production of Panoramic Micro-Course Video

Massive Open Online Course [1,7] (referred to as MOOC) is currently the hottest online education model. It is mainly composed of many micro-course videos, and has greatly changed the way of learning. But most of the micro-course videos in MOOC are traditional, students will feel boring for a long time, and they do not feel the atmosphere in the traditional classroom. Fortunately, the rapid development of virtual reality technology can greatly improve this situation. This paper proposes a method of making panoramic micro-course video, which is produced by virtual reality technology. In the paper, the immersive panoramic micro-course video production methods and steps will be described in detail. Through panoramic micro-course video, students can immerse themselves in the learning environment to improve learning efficiency.
Identification of Low-Light-Resistant Germplasm and Related Loci of Soybean

Low-light stress will lead to abnormal soybean growth and a subsequent yield reduction. Association mapping is a useful alternative to linkage mapping for the detection of marker–phenotype associations. This study aimed to evaluate low-light-resistant soybean accessions and identify markers associated with low-light resistance. We assessed the plant height, stem diameter, number of bean pods, and cotyledon height of soybean plants under low and normal light conditions. These traits were evaluated in 185 soybean accessions, and the accessions 11HX-020, 11HX-025, 11HX-029, 11HX-064, 11HX-127, 11HX-166, 11HX-183, and 11HX-216 showed stable performance under low-light conditions. These 185 accessions were genotyped with 639 single-nucleotide polymorphism (SNP) markers and 98 simple sequence repeat (SSR) markers. A total of 75 markers—i.e., traits associated with low-light resistance—were identified. These associated markers were distributed on 14 linkage groups (LGs) of soybean, and some markers were associated with two or more traits. According to the results, excellent germplasm material and low-light-resistance related markers can be used for low-light resistance breeding of soybean and will help identify the low-light resistance genes.
Effects of microalloying on the microstructure, tribological and electrochemical properties of novel Ti-Mo based biomedical alloys in simulated physiological solution

The tribological characteristics of Ti alloys containing beta stabilisers such as Mo, Nb, Ta, Zr, and Sn have seldom been explored despite their applicability for metallic biomaterials requiring good wear and surface degradation resistance. Using sliding wear contact, the influence of these alloying components on Ti-Mo biomedical alloys in simulated physiological fluid was examined. Microalloying influences microstructure, hardness, and wear. Nb-microalloyed samples with metastable -phase increased anti-wear and frictional resistance while keeping frictional resistance. Orthorhombic α′′phase-rich samples were the least wear resistance. The findings contribute to a better understanding of the interaction between Ti-based biomaterials’ micro-alloying and their tribological properties. The stabilised TiMo (Nb,Ta, Zr, or Sn) alloys outperformed CP-Ti, the original Ti92Mo8, and the regularly used biomedical Ti6Al-4V alloys in terms of corrosion resistance. This indicates that alloying tuning may be used to enhance biomedical prosthesis and increase the service life of bio-implants and components.
Unaddressed problems and research perspectives in scheduling blood collection from donors

Abstract Many optimisation problems arise in managing the Blood Donation (BD) supply chain. Most of them have been addressed in the literature, while other problems, e.g. donation scheduling, have not been sufficiently addressed so far. However, blood collection from donors may have a disruptive impact on the entire BD supply chain if not properly managed. For example, scheduling donation appointments based on some system metrics may improve the flow of blood units through the BD supply chain and increase the quality of service perceived by donors. In this short communication, we present the donation scheduling problem and highlight the lack of work in the literature that deals with this problem. Then, we analyse the impact of an unbalanced flow of blood units on the BD system and the benefits that may derive from a suitable appointment scheduling. Finally, we propose suggestions for future research in BD collection scheduling that may improve the BD process.
Development of a community-based framework to manage prosumers in smart grid

The smart grid has opened up a new role of an economically motivated “prosumer”, who not only consumes energy but also generates the green energy and shares the surplus with energy buyers. Managing the prosumers connected to the smart grid has become pivotal within the energy sharing network, and the concept of prosumer community groups is an innovative approach to fulfil that requisite. For the prosumer community groups to emerge and meaningfully interact with the smart-grid infrastructure, several socio-technical challenges have to be addressed. However, in literature, there are hardly any effective proposals to address those challenges. This dissertation provides a survey of the state of the art of prosumer community groups, as well as the literature exists in the context of smart grid and online virtual communities to highlight their adaptability to the development of prosumer community groups and ultimately highlights the unresolved issues. Moreover, this dissertation proposes solutions to address four key problems of managing prosumers in the form of prosumer community groups: (i) a framework to define and characterize prosumer community groups that clusters the prosumers based on their homogeneity while detecting outliers and ultimately defining prequalification criteria for prosumer community groups, (ii) a framework to recruit new prosumers to the prosumer community groups, which proactively monitors and evaluates the new prosumers’ real-time energy behaviours before final recruitment, (iii) a framework to manage multiple goals within the community-based energy sharing network and to define mutual goals using linear goal programming techniques and (iv) a framework to assess and rank the members within the prosumer community groups using multiple criteria decision-making techniques. The theoretical concepts and the proposed solutions are tested in a simulation environment and a multi-agent community-based energy sharing network prototype system is created in order to demonstrate the effectiveness of the overall community-based energy sharing network.