Miracle-dz/UniFAR-FTUs huggingface dataset:
Blockchain: Security And Concerns

Across all digital normative or data collection processes, Blockchain provides higher speed, confidentiality, consistency and accountability. Supporters argue Blockchain is that, facilitating and integrating the growth of Internet of Things (IoTs) in the form of transaction transactions, trade inventory, healthcare documents and birth records, storing ownership of land and electronic supply chains. Although conceptual advantages and suggested usage scenarios are increasing, Blockchain's true strength to achieve broad acceptance is uncertain. Observers define the next two years as an early investor stage that is primed for the true Blockchain transition by business, government, and community. The aim of this research report is to demonstrate that Blockchain is on course to achieve its ability to adjust to our community and enhance it. The work comprises a contextual history, a review of existing non-fiction on initial deployment behaviors and a quick examination of multiple Blockchain applications, such as an analysis of their existing use. Keywords— Blockchain, Bitcoin, Ethereum, Hyperledger, Quorum, Cryptography, Data Security
PRICING CONVERTIBLE BONDS USING FINITE ELEMENTS

This paper discusses the pricing of convertible bonds using Finite Element Methods. An overview of the features of this financial product is given. We start by presenting a one factor (stock price) model that allows to consider default. Then, we show that the value of a convertible bond satisfies a Linear Complementarity Problem (LCP), which leads to a parabolic variational inequality (PVI). The Finite Element Methods are applied to solve this PVI. To discretize the variational inequality, we apply a theta scheme in time and a Galerkin method in log-price space. Results are explained and compared to those of a commercial pricing software. Finally, the theoretical framework of the one factor pricing model is extended to include a stochastic interest rate.
Impact of Employee’s Environmental Concern on Ecological Green Behaviour: Mediation Mechanism of Employee Customer Oriented OCB and Organisational Commitment

Muhammad Arshada*, Ghulam Abidb, Mumtaz Muhammad Khanc, aPh.D. Scholar, National College of Business Administration & Economics, Lahore, bAssistant Professor, School of Business Administration, National College of Business Administration & Economics, Lahore, Pakistan, cProfessor, School of Business Administration, Imperial College of Business Studies, Lahore, Pakistan, Email: aarshad.tevta@gmail.com, bdr.ghulamabid@gmail.com, cmumtazmkpk1@gmail.com
A transition-state theory approach to adsorbate dynamics at arbitrary loadings

There has been much recent interest in using transition-state theory (TST) to extend the time and length scales accessible to molecular-level simulations of adsorbate transport in microsporous materials. However, the vast majority of this work has been performed on systems at infinite dilution. The objective of this paper is to obtain fundamental rate constants for adsorbate motion at nonzero loadings using multidimensional TST. More specifically, we focus on systems where the adsorption of a molecule is not highly localized in a single site, but rather distributed throughout an uncorrugated cage. We develop a theory in which high-dimensional TST integrals are approximated using exact lower-dimensional information. The evaluation of the resulting integrals is performed with an importance sampling method involving the insertion of a single molecule, thus improving the statistical quality of the results. The theory is applied to the motion of methane and xenon in the zeolite ZK4, where hopping between α cag.
Diversity, utilization and cultural significance of purple rice in northeastern Thailand

Fifteen cultivars of purple rice, including eleven of glutinous rice and four of nonglutinous rice, were studied for diversity, culture, and utilization in Northeastern Thailand. The morphological study found a difference in terms of color of leaf blade, leaf sheath, ligule, leaf collar, auricle, and husk and grain width and length. 28 morphological characteristics were used for the purple rice classification using UPGMA method and Principal Coordinate Analysis by NTSYS program. The results of the analysis showed the genetic similarity at 0.54-0.87 which could be divided into 3 groups. The purple rice is a source of household income of the farmers. A certain amount of the rice is spared and exchanged for ritual purposes. The purple rice is believed to be sacred among the Northeastern farmers. They hold high regard of it as a queen of rice due to it can be grown only during the annual planting season. The farmers believe that the purple rice protects other rice varieties from diseases and insect pests; acts as an insect repellant, and induces the white rice growth. In terms of utilization, the purple rice can be consumed either as a staple diet or as a healthy drink. Moreover, the purple rice can be used as a kind of herbs for its medicinal property. The result demonstrated that diversity of the purple rice has both cultural and ecological significances. In addition, it can be shown as sa geographic indicator. Thus, it is recommended that further studies concerning promotion and conservation of local wisdom relating to the purple rice diversity, utilization and significance should be encouraged by both government and private sectors.
Benevolent Leadership, Perceived Supervisor Support And Subordinate Performance

This research paper examines the benevolent leadership style and it’s described as a specialist style that spotlights on having individualized what's more, complete stress to subordinates' near and dear and familial flourishing. It was proposed as one of the portions under the paternalistic activity. Benevolent leadership as the style that focus on having individualized and holistic concern to sub ordinates personal and familial well-being. Leadership defined as supporting the sub ordinate in every way. This study aimed to identify the influences of leadership behavior of sub ordinate performance through considering perceived supervisor support, self-efficacy and organizational culture. This study helps to determine the relationship between sub ordinate performance and leadership. Higher level of support exhibit positive relationship that is essential for achieving organization goals. The observational outcomes demonstrate that there is a full intercession impact of leadership style on the sub ordinate performance. There are some other that influences sub ordinate performance such as self-efficacy, organizational culture and rate of productivity workforce. Positive outcomes of employee performance it associated with leadership support an employee always wants a leader with paternalistic hand over their head. A sample size of 200 employees from multinational organization in Karachi was collected. Descriptive statistics and linear regression analysis were used to analyze the data. The outcomes may not be summed up in diverse settings and callings, given the relevantly and socially particular setting.
Deep Neural Network with Extracted Features for Social Group Detection

Background and Objectives: Video processing is one of the essential concerns generally regarded over the last few years. Social group detection is one of the most necessary issues in crowd. For human-like robots, detecting groups and the relationship between members in groups are important. Moving in a group, consisting of two or more people, means moving the members of the group in the same direction and speed. Methods: Deep neural network (DNN) is applied for detecting social groups in the proposed method using the parameters including Euclidean distance, Proximity distance, Motion causality, Trajectory shape, and Heat-maps. First, features between pairs of all people in the video are extracted, and then the matrix of features is made. Next, the DNN learns social groups by the matrix of features. Results: The goal is to detect two or more individuals in social groups. The proposed method with DNN and extracted features detect social groups. Finally, the proposed method’s output is compared with different methods. Conclusion: In the latest years, the use of deep neural networks (DNNs) for learning and detecting has been increased. In this work, we used DNNs for detecting social groups with extracted features. The indexing consequences and the outputs of movies characterize the utility of DNNs with extracted features. ======================================================================================================Copyrights©2021 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers. ======================================================================================================
How to interpret reduced FEV1/VC ratio with normal FEV1

Whether the combination of low FEV1/VC ratio with normal FEV1 represents a physiological variant or a sign of early airflow obstruction is unknown. We studied 40 subjects presenting with low FEV1/VC but FEV1 within the range of normality predicted by ERS reference equations and 10 healthy controls. All subjects completed two questionnaires and underwent comprehensive pulmonary function testing , which included methacholine challenge and single-breath nitrogen wash-out. According to the questionnaires, the subjects were assigned to three groups, i.e. rhinitis (n=8), bronchial asthma (n=13) and COPD (n=12). Subjects with negative responses to questionnaires were assigned to an asymptomatic group (n=7). Airway hyperresponsiveness was found in 4 subjects of the rhinitis group, all of the asthma group, 10 of the COPD group and was associated in the last two groups with signs of increased airway closure and gas trapping. Bronchodilator response to salbutamol was positive in only few individuals across groups. In the subjects of the asymptomatic group, no significant functional changes were observed, possibly suggesting dysanaptic lung growth. In subjects with low FEV1/VC and normal FEV1, questionnaires on respiratory symptoms together with additional pulmonary function tests may help to clarify the nature of this pattern of lung function.
CMSC498L Final Project Report: Generative Adversarial Networks and Their Applications

We review the basic theory of generative adversarial networks (GANs), their motivation and potential applications. We discuss the formulation of the optimization problem and proof of convergence. We explain the problems associated with training GANs, their cause and attempts to remedy them. We then turn to deep convolutional GANs (DCGANs) to look at speciﬁcally image generation with convolutional layers. We examine the various guidelines of the model to ensure more stable training. Lastly, we implement a variant of DCGAN on CIFAR-10, STL-10
THE SIMILARITIES AND DIFFERENCES BETWEEN SOUTH AFRICAN AND CHINESE DEFINITIONS AND DESCRIPTIONS OF LEADERSHIP STYLE: A MINING JOINT VENTURE CASE STUDY

The purpose of this paper is to explore the similarities and differences between South African and Chinese definitions and descriptions of leadership style through a case study of a Chinese-South African joint venture (hereafter referred to as ABC). The purposive sample included management and supervisory level employees from the head office and mining operation of ABC who were willing to participate in the study. In-depth semi-structured interviews were used to collect data which was analysed using content analysis. The study found similarities and differences between South African and Chinese leadership definitions and dominant leadership styles as described by Chinese and South African participants. Overall, the study recommends that transformational leadership is more effective than transactional and laissez-faire leadership. Idealised influence and contingent reward are strongly exhibited by both South African and Chinese participants. Finally, Chinese participants in this study note that they do not exhibit individualised consideration leader behaviour as strongly as South Africans do.
IoT based Remote Patient Monitoring System

– Remote monitoring system using IoT has higher advantages over patient’s health monitoring system. The patient’s health is monitored by setting the sensor in the room or by wearing the sensors with the body. These sensors are connected together forming the wireless sensor network which is connected to cloud or Internet. Such networked sensors called IoT is used to make possible gathering of rich information indicative of physical, mental health and behavior of patient. IoT make use of medical equipments more productive by allowing real time monitoring of patient health, in which sensor acquire data of patient's and decreases the human error. The captured data on a continual basis are aggregated and effectively mined to bring out the health and behavioral aspects of patient. There are various frame work like KIT, IOIO-OTG etc, through which the health information of patients is gathered, monitored and analyzed. In this paper, the use of IoT in healthcare system and challenges of IoT in healthcare system are reviewed.
Lingual Frenectomy to Improve Stability of Mandibular Denture: Case Report

Lingual Frenectomy to Improve Stability of Mandibular Denture: Case Report Nihel Charfi, Dorra Chaabouni, Rim Mabrouk, Sameh Aguir, Rim Bibi, Nadia Frih Resident in Removable Partial Prosthodontics, Department of Dental Medicine, Hospital of Charles Nicolle Tunis Specialist in Oral and maxillofacial radiology, Former Resident in Department of Radiology, University Dental Clinic, 5000 Monastir, Tunisia. Associate Professor in Endodontics and Restorative Dentistry, Faculty of Dental Medicine of Monastir Department of Dental Medicine, Hospital of Charles Nicolle Tunis Tunisia Resident in Removable Partial Prosthodontics, Department of Dental Medicine, Hospital of Charles Nicolle Tunis Tunisia Professor in Removable Partial Prosthodontics, Faculty of Dental Medicine of Monastir, Department of Dental Medicine, Hospital of Charles Nicolle Tunis Tunisia Professor in Forensic Dentistry and Head of Service, Faculty of Dental Medicine of Monastir, Department of Dental Medicine, Hospital of Charles Nicolle Tunis
The Old, the Young, and the Dehydrated: comparing dehydration tolerance of â•ŸGransdenâ•Ž and â•ŸReuteâ•Ž ecotypes of Physcomitrella patens

The Old, the Young, and the Dehydrated: comparing dehydration tolerance of ‘Gransden’ and ‘Reute’ ecotypes of Physcomitrella patens Clay Lippert Director: Dr. Karen L. Koster, Ph.D. The goal of this research was to test the dehydration tolerance of two ecotypes of the moss species Physcomitrella patens. I compared the newly isolated Reute ecotype, originating from Baden-Württemberg, Germany, to the laboratory standard Gransden ecotype, originally isolated from Little Gransden, England, to determine if they differ in their ability to survive water loss. My hypothesis was that the Gransden ecotype would display greater dehydration tolerance than the Reute ecotype due to the higher average rainfall in the region where the Reute ecotype was isolated. Dehydration tolerance was tested by exposing the moss to varying atmospheric relative humidities and measuring water loss, then measuring chlorophyll fluorescence as an estimate of photosynthetic recovery after rehydration. After comparison of dehydration rates and chlorophyll fluorescence, no significant differences were measured between the ecotypes; thus, it is inconclusive if one ecotype is more dehydration tolerant than the other.
Validation of the TROPOspheric Monitoring Instrument (TROPOMI) surface UV radiation product

Abstract. The TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor (S5P) satellite was launched on 13 October 2017 to provide the atmospheric composition for atmosphere and climate research. The S5P is a Sun-synchronous polar-orbiting satellite providing global daily coverage. The TROPOMI swath is 2600 km wide, and the ground resolution for most data products is 7.2×3.5 km2 (5.6×3.5 km2 since 6 August 2019) at nadir. The Finnish Meteorological Institute (FMI) is responsible for the development of the TROPOMI UV algorithm and the processing of the TROPOMI surface ultraviolet (UV) radiation product which includes 36 UV parameters in total. Ground-based data from 25 sites located in arctic, subarctic, temperate, equatorial and Antarctic areas were used for validation of the TROPOMI overpass irradiance at 305, 310, 324 and 380 nm, overpass erythemally weighted dose rate/UV index, and erythemally weighted daily dose for the period from 1 January 2018 to 31 August 2019. The validation results showed that for most sites 60 %–80 % of TROPOMI data was within ±20 % of ground-based data for snow-free surface conditions. The median relative differences to ground-based measurements of TROPOMI snow-free surface daily doses were within ±10 % and ±5 % at two-thirds and at half of the sites, respectively. At several sites more than 90 % of cloud-free TROPOMI data was within ±20 % of ground-based measurements. Generally median relative differences between TROPOMI data and ground-based measurements were a little biased towards negative values (i.e. satellite data < ground-based measurement), but at high latitudes where non-homogeneous topography and albedo or snow conditions occurred, the negative bias was exceptionally high: from −30 % to −65 %. Positive biases of 10 %–15 % were also found for mountainous sites due to challenging topography. The TROPOMI surface UV radiation product includes quality flags to detect increased uncertainties in the data due to heterogeneous surface albedo and rough terrain, which can be used to filter the data retrieved under challenging conditions.
Markov Models, Hidden and Otherwise. ∗

Markov Models (also known as Markov Processes and Markov Chains) are a powerful and commonly used technique. In essence, a Markov Model is a way of generating a random sequence that contains patterns. Used in reverse, a Markov model is a way of finding certain patterns in a sequence. To have a Markov chain, you first need a set of allowed states. The Markov process then hops from one state to another, generating a chain of states. Mathematically, Markov chains are generated by a probabilistic rule that looks at the last few values of the sequence to select the next state. Specifically, when calculating a first-order Markov chain, one needs to look at the current state to decide what states are possible for the next step and what is the probability of moving into each of the possible next states.
MATERIALS, TRADES AND TECHNICITIES: THE RESTORATION SITE OF THE MERINID CITY MANSOURAH (TLEMCEN, ALGERIA) IN THE WORK OF THE ARCHITECT EDMOND DUTHOIT (1874- 1884). GENESIS AND APPROPRIATION OF A PRODUCTION PROCESS

The restoration of the heritage is conceived as a direct intervention on an "exceptional building" built, which proves a particular attention from the point of view of its architectural quality, the historical or ethnological interest. The restorative practice on historical constructions calls for a methodology specific to intervention with the existing. This methodology includes several operations of acquisition and graphical restitution of data, and analyzes for the widest possible knowledge of the construction or the studied ensemble. At the end of the 19th century, many scientific and artistic structures initiated to establish new debates on the issues of the conservation of buildings in danger in Algeria. Between 1872 and 1889, Edmond Duthoit architect, intervenes on various remarkable buildings in Tlemcen, to make known their states of conservation and the necessary needs for possible interventions. These interventions raise cognitive and practical questions about the technical corpus that has formed the basis for our current knowledge of the restoration of historical monuments.The restoration of the historic site of Mansourah is offered to our study as the most significant and exhaustive case, because of the abundance of almost unpublished sources. By giving a privileged place to textual studies and to material analysis, it is the discovery of a process of production of the techniques, the gestures of the construction, the knowledge that they suppose and more fully the symbolization that expresses the aesthetics of forms and social uses that contain and organize the enclosure and the mosque of Mansourah.
One-Shot Learning of PDDL Models from Natural Language Process Manuals

Existing automated domain acquisition approaches require large amounts of structured data in the form of plans or plan traces to converge. Further, automatically-generated domain models can be incomplete, error-prone, and hard to understand or modify. To mitigate these issues, we take advantage of readily-available natural language data: existing process manuals. We present a domain-authoring pipeline called NL-toPDDL, which takes as input a plan written in natural language and outputs a corresponding PDDL model. We employ a two-stage approach: stage one advances the state-of-the-art in action sequence extraction by utilizing transfer learning via pre-trained contextual language models (BERT and ELMo). Stage two employs an interactive modiﬁcation of an object-centric algorithm which keeps human-in-the-loop to one-shot learn a PDDL model from the extracted plan. We show that NLtoPDDL is an effective and ﬂexible domain-authoring tool by using it to learn ﬁve real-world planning domains of varying complexities and evaluating them for their completeness, soundness and quality.
POCUS series: Assessment of shock using the rapid ultrasound in shock (RUSH) protocol

In the last docade ultrasound has found its place in the intensive care unit. Initially, ultrasound was used primarily to increase safety and efficacy of line insertions but now many intensivists use point-of-care ultrasound (POCUS) to aid in diagnosis, assessment of therapy and to guide therapeutic interventions. In this series we aim to highlight one specific POCUS technique at a time, which we believe will prove to be useful in clinical practice. Our aim is to provide the reader with a short and practical description of the technique as well as its merits and pitfalls. In this issue we describe the use of the rapid ultrasound in shock (RUSH) protocol to quickly investigate shock in the ICU.
Electron Transfer Modeling in Condensed Phase by Molecular Dynamics Simulation: Application to Methylene Blue-Guanine Complex in Water

The classical molecular dynamics simulation method was applied to the study of the electron transfer (ET) occurring in the optically excited methylene blue-guanine complex in water. The basic assumptions of Marcus model for ET in polar solvents were proven to be valid in the present case: the solvent orientation in the solute electric field was found to be the actual reaction coordinate, and the free energy dependence on reaction coordinate was found to be parabolic. The electronic contribution to the energetics of the process was calculated as the difference between the ionization potentials of reducing and that of the reduced species. On the basis of the free energy curves computed for the locally excited state (LE) and the charge transfer state (CT) a reaction activation energy of 2.0 kcal/mol and a reorganization energy of 27.1 kcal/mol were derived. Solvent and solute dynamics were analyzed by computing the time auto-correlation functions for the corresponding energy terms. Both solvent and internal.