Miracle-dz/UniFAR-FTUs huggingface dataset:
From exploitation to conservation: a historical analysis of zoos and their functions in human societies

Currently there are many interfaces that allow the relationship between humans and animals, including zoos. Throughout history, the change in zoo structure has accompanied the social and cultural changes of human society. Nevertheless, despite the remarkable progress since early zoos were organized, there is still a great need for improvements of zoos around the world. A critical look at the relationship between humans and animals that led to the establishment of zoos was the aim of this study. Zoos currently follow some precepts (entertainment, education, research and conservation), however has not been enough to bind changes in zoos that still lack in accomplishing these pillars. Such lacks create a scenario for discussions between those who believe in the potential of conservation projects developed by zoos and those who find hostile and inadequate to animal life. It can be suggested that the bedrocks were the result of how human beings have perceived animals over time, since perception interferes with the way people deal with what surrounds them. In this way, the merely utilitarian vision of prehistoric times came from the perception that people had about animals at that time. Understanding the evolution of people’s perception of animals and how this perception has influenced the configuration of zoos can tell us the directions they can take from now on. We believe that the next step is to turn our attention to the visitors, not only to meet their leisure expectations, but for them to become allies in the fight for biodiversity conservatio.
AN INTEGRATED MULTI-CRITERIA DECISION-MAKING FRAMEWORK FOR SUSTAINABLE SUPPLIER SELECTION UNDER PICTURE FUZZY ENVIRONMENT

Sustainable supplier selection (SSS) is an important part of sustainable supply chain management (SSCM). In this paper, an integrated multi-criteria decision-making (MCDM) framework, based on the picture fuzzy exponential entropy, and the VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) method, is proposed to manage SSS problems. Firstly, the evaluation criteria of SSS, including economic, environmental and social, is established. This can be evaluated in the form of the actual data or linguistic terms provided by suppliers and experts respectively in an actual decision-making process. Then, according to the translated scales, all the evaluation information can be converted into picture fuzzy numbers (PFNs). Secondly, the picture fuzzy exponential entropy is defined. Moreover, based on the entropy’s minimization principle, the defined picture fuzzy exponential entropy is used to determine the weight of the SSS’s criteria. Thirdly, the extended VIKOR method, which combines the grey correlation coefficient, is utilized to select a suitable supplier. This method avoids the shortcomings of the traditional VIKOR method in data mining and solves the conflict between SSS criteria. Finally, the feasibility and effectiveness of the proposed integrated decision framework are verified by an experiment, as well as a sensitivity analysis and comparative analysis.
Translating Scientific Graphics for Public Audiences

It is universally acknowledged that the public need to understand and trust science to make informed decisions in everyday life. Therefore, effectively communicating scientific work to the general public is of great importance. Though scientists have developed techniques for communicating among each other through scientific writing and diagrams, it remains rare for many scientists to have to communicate to the public directly. To help scientists and others design understandable graphics for the public, we analyze 20 diagrams that represent journalists’ redesigns of scientific graphics targeted at a general audience. We present 20 design strategies across five categories of techniques — Simplification, Optimizing the Visual Presentation, Adding Explanation, Making Information Relatable, and Miscellaneous — that can be applied in creating or translating scientific graphics for public consumption. By identifying specific techniques, our work demystifies the design process of understandable graphics and suggests the possibility of effectively creating such graphics with minimal expertise.
Sustainable Urban Transport and the Level of Road Noise – a Case Study of the City of Bydgoszcz

Road transport in cities is one of the main sources of air and noise pollution, lowering the attractiveness of areas of sensitivity, influencing the quality of life and the ability to meet the basic needs of users. The reconstruction of the existing road network and introduction of a new, alternative type of transport can radically change the acoustic conditions occurring in a city. As a result of this, an assessment of the noise nuisance of a fragment of the city of Bydgoszcz – a city located in the northern part of Poland – which had undergone changes connected with transportation, was carried out in the work. The influence of a newly-built tram route “Bydgoszcz-Fordon” on the acoustic conditions occurring in its surroundings was assessed. The studies were carried out in two periods of time (2012 and 2019), corresponding to various spatial states of the terrain. The results confirm that the introduction of an alternative transport solution contributed to a decrease in the level of road traffic noise. This occurs as a result of improved road conditions on modernized road segments, the integration of transportation networks and a decrease in the share of individual road vehicle transport. It was also confirmed that a well-designed tram route can influence changes in transportation habits of users and have a positive effect on the attractiveness of residential areas. This is in line with the concept of sustainable urban transport.
TEKA. COMMISSION OF MOTORIZATION AND ENERGETICS IN AGRICULTURE – 2016, Vol. 16, No. 4, 63–72 Planned Motion Equations of Free-running Grain Mixture Flow

In the article the equations have been worked making it possible to model the motion of freerunning grain mixture flow on a flat sloping vibrating sieve within the framework of shallow water theory. Free-running grain mixture is considered as a heterogeneous system consisting of two phases, one of which represents solid particles and the other one gas. The mixture is brought into a state of fluidity by means of high-frequency vibration imposition. Coefficients of internal and external friction and dynamic-viscosity decrease by exponential law as the fluctuation intensity is increased. When considering grain mixture dynamics, the following assumptions are put forward: we ignore the air presence in space between particles, we consider the density of particles to be constant, the free-running mixture is similar to Newtonian liquid. The basic system of equations of grain mixture dynamics is due to the laws of continuum mechanics. The equation of continuity is issued from the law of conservation of mass, and the dynamic equations are issued from the law of variation of momentum. The stress tensor equals to the sum of the equilibrium tensor and the dissipative tensor. The equilibrium part of the stress tensor is represented by the spherical tensor, which is found to conform to Pascal law for liquids, and the dissipative part, which is responsible for viscous force effect and defined by Navier-Stokes law. Boundary conditions on the surfaces (restricting the capacity of the free-running grain mixture) have been researched. The distributions of apparent density and velocity field are assigned at the inlet and outlet flow sections of the mixture. The normal velocity component of the grain mixture on the side frames and on the sieve becomes zero, which meets the no-fluid-loss condition of the medium through the frame. Beyond that point at this time we satisfy dynamic conditions, which characterize the mixture sliding down the hard frame, motion flow resistance force is represented as average velocity linear dependence. A kinematic condition and two dynamic ones are stipulated on the free surface layer. One of the conditions states mass flow continuity across the free surface, the other one states the stress continuity while passing through the free surface. The basic premise of planned motion equations is the condition of small size of flow depth in comparison with its width. With the use of shallow water theory the basic principles of the equations of flow dynamics are simplified and for their solving a Cauchy problem can be set.
Reflections on doing, being and becoming the #OTalk student digital leader intern

OTalk is an ever-growing community of practitioners, students and academics/researchers who engage in weekly chats over the social media platform of Twitter. Discussion topics are of relevance to occupational therapists and occupational scientists (OTalk 2014). Prior to accepting a place on a pre-reg course in occupational therapy, OTalk enabled me to develop awareness of current, relevant topics impacting the profession I wanted to enter. As a student it has given me further opportunities to understand how theory supports practice in a wide range of clinical settings beyond my own experiences of placement and classroom-based learning. Midway through my first year of studying, I had the opportunity to undertake an internship with OTalk, as a student digital leader as a CPD activity for 16-month period with the team to develop digital leadership skills (OTalk 2015). The experience gained throughout the intern period allowed for the development of communication skills, publicity and promotion skills and professionalism in the context of appropriate use of social media. It also gave opportunity to develop skills highlighted within HCPC Standards of Proficiency: Occupational Therapist (2013) such as building and maintaining professional relationships as well as working appropriately with others. The poster will outline my personal experience and reflections of doing, being and becoming (Wilcock 1998) a student digital leader intern with the OTalk team. It will explore the development of skills I can carry forward into the occupational therapy profession and also the challenges I faced interning alongside studying towards my pre-reg qualification in occupational therapy. It will also aim to encourage student OTs to continue to make use of social media as part of their learning journey and post-graduation.
Prediction of Product Recommendation Using Clustering Technique and Voting Scheme

: Recommender Systems (RS) are generally utilized for giving programmed customized recommendations to data, items and administrations. Community oriented Filtering (CF) is a standout amongst the most well-known proposal methods. In any case, with the fast development of the Web regarding clients and things, larger part of the RS utilizing CF strategy experience the ill effects of issues like information sparsity and versatility. In this paper, we present a Recommender System dependent on information bunching methods to manage the versatility issue related with the suggestion errand. We utilize distinctive casting a ballot frameworks as calculations to consolidate suppositions from various clients for prescribing things important to the new client. The proposed work utilize K-MEAN bunching calculation for grouping the clients, and after that execute casting a ballot calculations to prescribe things to the client relying upon the group into which it has a place. The thought is to parcel the clients of the RS utilizing bunching calculation and apply the Recommendation Algorithm independently to each segment. Our framework prescribes thing to a client in a particular group just utilizing the rating insights of alternate clients of that bunch. This encourages us to lessen the running time of the calculation as we keep away from calculations over the whole information. Our goal is to enhance the running time and also keep up a worthy suggestion quality. We have tried the calculation on the Kaggle Product dataset.
Two Stage Op-Amp Design Verification and Optimization by SymbolicComputation

In the classical Op-Amp design some very simple expressions are used, based on a simplified circuit model. This could lead to a prototype whose response is not the desired one and the Op-Amp must be redesigned. Another possible case is when the designed Op-Amp's response is the desired one but only for a certain load, a different load could produce an undesirable behavior or an unstable response. In this paper a two stage Miller compensated Op-Amp, designed in 180nm CMOS technology is verified from the point of view of phase margin and is optimized from the settling time point of view. To this aim the phase margin symbolic expression of the Op-Amp in the open loop is computed starting from poles and zeros symbolic expressions. Using this expression, an analysis to evaluate the influence of the Miller and the load capacitance on phase margin is performed. This way, the designer can rapidly verify if the response of the Op-Amp is stable for various Miller and load capacitances. After that the symbolic expression of the time constant is estimated starting from the poles and zeros symbolic expressions of the Op-Amp in the closed loop, function of the Miller and load capacitances. The settling time is evaluated for various Miller and load capacitances values to find the optimum, smallest time response. The numerical results for phase margin and settling time obtained with this algorithm are compared with those computed with SPECTRE RF.
Knowledge and Practices for Early Childhood Caries Prevention among Parents of the Children Visiting King Abdulaziz University Pediatric Dental Clinics, Kingdom of Saudi Arabia

Ab s t r Ac t Aim: Children’s oral health maintenance is influenced by their parents’ knowledge and behaviors. Therefore, the aim of this study was to assess the knowledge and practices among parents for prevention of early childhood caries (ECC) in children. Materials and methods: This cross-sectional study interviewed the parents visiting the Pediatric Dental Clinic in King Abdulaziz University, Faculty of Dentistry (KAUFD), from January 1, 2018 to December 31, 2018. The questionnaire was drafted based on the recommendations on strategies for ECC prevention by the American Academy of Pediatric Dentistry in 2018. Results: Of the 549 parents, 283 responded. The mean knowledge score for caries prevention was 2.29 (standard deviation = 1.26) out of 10. In addition, 13.8% of participants scored zero. Knowledge questions that showed the highest correct responses were those associated with fluoride application. However, only 96 (24.4%) participants were aware of fissure sealants, 48 (17%) participants knew that fissure sealants are applied to sound teeth, 35 (12.4%) participants knew the correct age of the first dental visit, and 157 (55.5%) participants practiced snacking between meals. Mothers showed significantly higher mean knowledge score compared with fathers (p < 0.001). In addition, the number of dental visits significantly correlated with the mean parental knowledge score (p < 0.05). Conclusion: Parental dental knowledge and practices were not satisfactory. Anticipatory guidance should be reinforced by oral healthcare providers on each dental visit. In addition, pediatricians and physicians could be involved in improving parental dental knowledge. Clinical significance: This study reported the level of knowledge and awareness of parents visiting the Pediatric Dental Clinic in KAUFD. It could be used as a reference for future community services and caries prevention programs conducted by oral healthcare services for children to prevent ECC.
Multi-agent Based Energy Balancing Management Algorithm for Smart Grid System

The smart power system focuses on renewable energy sources, which has the potential to reduce the dependence of residential buildings on electricity systems. However, their integration into existing systems increases instability, supply insecurity. Optimizing output schedules and regular forecasting of electricity demand can improve power system stability. But, constantly changing demand for electric power creates problems in scheduling and forecast. For this, it is essential to prioritize how to exploit the immediate deployment of operating units and storage resources online. These processes include optimization and forecasting processes that can address under the umbrella of a multi-agent learning process. The purpose of the proposed multi-agent algorithm in the centralized controller is to learn the policy of maximizing the performance of each agent by ordering it to perform the average of each step based on each agent's reward. In this way, the multi- agent learns to solve and optimize problems. In this paper, we use a multi-agent DQN algorithm by introducing two global states, which play role to communicate among each individual agent to minimize the electricity peak problem and electricity balance between houses by optimal use of storage utilities.
Performance Enhancement in Green Construction Project Teams: Building a Case for Shared Transformational Leadership

Green, or sustainable, construction projects have made their place in the industry and are growing exponentially. Green construction projects have distinct characteristics and are perceived more complicated as compared to their traditional counterparts. The unique nature of these projects requires project teams to have higher integration to achieve optimal performance. While addressing this requirement, the Architecture Engineering and Construction (AEC) literature usually proposes solutions related to the project delivery methods and their characteristics. This study explores the potential of a new dimension shared transformational leadership in the performance enhancement of green construction project teams. Transformational leadership is one of the most extensively researched theories in the contemporary literature. Transformational leaders act as role models for their team members, provide them with individual attention and care, cater to their needs, and provide team members with opportunities to contribute intellectually. Also, many modern leadership experts support the idea of shared leadership against singular team leader concept. Shared leadership means that there can be multiple leaders in team regardless of their authority and position. This study builds a case in favor of shared transformational leadership in green construction project teams through a comprehensive discussion.
HIV in Obstetrics and Gynaecology

Some people may be laughing when looking at you reading in your spare time. Some may be admired of you. And some may want be like you who have reading hobby. What about your own feel? Have you felt right? Reading is a need and a hobby at once. This condition is the on that will make you feel that you must read. If you know are looking for the book enPDFd hiv in obstetrics and gynecology as the choice of reading, you can find here.
An Improved Model for Imperfect Facial Recognition using Python-Open CV

A face recognition is prevalently carried out by using ‘perfect’ data of full-frontal facial images without any sort of damage like due to accident on the image. Actually, there are various circumstances where full frontal faces may not be accessible. In this case, the available imperfect facial pictures that frequently originate from Closed Circuit Television (CCTV) cameras are used in place of the perfect full-frontal images. Hence, the problem of computer-based face recognition using impartial facial data as analysis is still largely an unexplored area of research. For the fact that the way humans carry out facial recognition and verification is different from how machines do, it must be fascinating to see how a machine favors different pieces of the face when exhibited to the difficulties of face recognition. This paper, therefore, investigates the question that encompasses the idea of face recognition using incomplete facial information. The experiment will be based on using Object Oriented Programming Language (OOP) along with OPENCV (Open Computer Vision) for proper classification and identification of a human face. Keywords—Analysis; imperfect facial data; face recognition; icomplete face; OOP; OpenCV
Values of L-functions and p-adic Cohomology

Well-known prototypes of such relationships are the Iwasawa Main Conjecture or the conjecture of Birch and Swinnerton-Dyer. In this context, Euler systems have been used to prove theorems about (A) <—• (L) relations, while results about p-adic cohomology suggested formulation of precise conjectures about (A) «—• (L) relations in a general "motivic" setting. I would like to thank R. Kucera, K. Rubin and the referee for helpful comments on the first version of this paper.
Impact économique hospitalier de la robotique dans la chirurgie mini-invasive d'exérèse pulmonaire

La chirurgie mini-invasive du thorax (VATS : « Video-assisted thoracic surgery ») se developpe pour la realisation d’exereses pulmonaires. La chirurgie robotique (RATS : « Robotic-assisted thoracic surgery ») a ete introduite pour s’affranchir des limitations de la VATS. L’ecueil de la RATS le plus frequemment mis en avant est le surcout qu’elle engendre. L’objectif est d’evaluer l’impact economique de la robotique pour la chirurgie mini-invasive d’exerese pulmonaire au CHU de Rouen. Les dispositifs medicaux (DM) ont ete recueillis de facon prospective. L’amortissement par intervention a ete calcule. Ces couts ont ete definis comme couts variables. Le cout global de prise en charge des patients a ete evalue en utilisant l’Etude nationale des couts. 55 interventions VATS et 57 RATS ont ete analysees. Plus de segmentectomies etaient realisees en RATS (p=0,008). Les resultats perioperatoires n’etaient pas differents. Le taux de conversions au bloc operatoire (p=0,008) et de complications majeures (p=0,015) etaient plus eleves en VATS. Les DM representaient 3 236 € en RATS et 2 818 € en VATS (p=0,005). Le cout des DM n’etait pas different dans le sous-groupe segmentectomies (p=0,2). L’amortissement etait de 1 504 € en RATS et de 40 € en VATS. Le cout global pour l’etablissement etait de 10 972 € en RATS et 9 637 € en VATS (p=0,007). Dans le sous-groupe segmentectomies, ce cout n’etait pas different (p=0,49). La robotique induit un cout additionnel pour l’etablissement. Ce cout semble dependre du type de procedure. La robotique ouvre de nouvelles perspectives. Elle peut participer a la diffusion de la chirurgie mini-invasive et ainsi en faire beneficier davantage de patients.
A finite-difference scheme for initial boundary value problem of the Gamma equation in the pricing of financial derivatives

In the article, we consider the initial boundary value problem for the Gamma equation, which can be derived by transforming the nonlinear Black-Scholes equation for option price into a quasilinear parabolic equation for the second derivative of the option price. We develop unconditionally monotone finite-difference schemes of second-order of local approximation on uniform grids for the initial boundary value problem for the Gamma equation. Two-side estimates of the solution of the scheme are established. By means of regularization principle, the previous results are generalized for construction of unconditionally monotone finite-difference scheme (the maximum principle is satisfied without constraints on relations between the coefficients and grid parameters) of the second-order of approximation on uniform grids for this equation. With the help of difference maximum principle, the two-side estimates for difference solution are obtained at the arbitrary non-sign-constant input data of the problem. A priori estimate in the maximum norm C is proved. It is interesting to note that the proven two-side estimates for difference solution are fully consistent with the differential problem, and the maximal and minimal values of the difference solution do not depend on the diffusion and convection coefficients. Computational experiments, confirming the theoretical conclusions, are given.