Miracle-dz/UniFAR-FTUs huggingface dataset:
BLOCKCHAIN AND IOT INTEGRATED APPROACH FOR A TRUSTED AND SECURED PROCESS TO MANAGE THE TRANSPORTATION OF DANGEROUS GOODS

The domain of transport and supply chain of goods is todaystrongly impacted by the digital technologies similarly to thelogistic enterprises providing them. Due to their critical nature.Not only these services are required to be correct but atraceability of the end-to-end process of transportation hasto be provided. The inuence of cutting edge technologiessuch as the Internet of Things (IoT) and blockchain enablesa new level of transparency and real-time verication of theprocess of transport. The impact of the IoT attributes toimproving the quality of services in several domains so itdoes in transportation. The capacity of IoT devices to generatereal-time information is essential to monitor processand other daily activities in the domain of transport. In thearea of dangerous goods transportation, this is even morecritical since stakeholders of the supply chain need to shareand exchange information in a trustful manner. Sensitive informationabout the transportation process should veriedbefore shared as well as protected from any unauthorizedaccess and changes. For a trusted and transparent processof transport, the data captured by IoT devices to monitorthe transportation of goods, should remain consistent, reliableand with proved integrity properties. In this paper, wepresent a research that highlights how the potential of theblockchain and IoT technologies can be eciently integratedin order to secure information exchange in an end-to-endprocess of transport of dangerous goods (TDG). Firstly, weexamine the process of TDG from the perspective of stakeholdercollaboration i.e., information ow. Secondly, we proposea model that supports an end-to-end TDG based on thePermission to make digital or hard copies of all or part of this work for personal orclassroom use is granted without fee provided that copies are not made or distributedfor profit or commercial advantage and that copies bear this notice and the full citationon the first page. To copy otherwise, or republish, to post on servers or to redistributeto lists, requires prior specific permission and/or a fee.regulatory framework. Third, we integrate blockchain andIoT technologies for securing information sharing during theprocess of TDG. Hence, we show how the transparent providesthe righ level of abstractions to the process of TDG. Aproof of concept applying our approach has been developedand tested.
Evaluation of the anti-anemic potential of Glycyrrhiza glabra aqueous extract in Phenylhydrazine-treated rats

Glycyrrhiza glabra is one of the popularly grown leafy plants with several therapeutical effects in Iran. In this experiment, we evaluated the anti-anemia potential of aqueous extract of G. glabra on Phenylhydrazine-induced anemic rats. In vivo design, 50 rats were used. Induction of hemolytic anemia was done by three injections of Phenylhydrazine in 40 rats. After one day, the rats were divided into five subgroups, including negative healthy control, untreated negative control, and three groups receiving the G. glabra at 30, 60, and 120 mg/kg concentrations. At the end of day 15 of treatment, the animals of all groups were sacrificed, and blood samples were taken to analyze the biochemical, hematological, and immunological parameters. Several doses of G. glabra significantly (p≤0.05) enhanced the reduced levels of high-density lipoprotein, total protein, albumin, white blood cell, platelet, red blood cell, hemoglobin, packed cell volume, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, interleukin 4, interleukin 5, interleukin 10, interleukin 13, and interferon alpha and decreased the increased levels of alkaline phosphatase, aspartate aminotransferase, alanine aminotransferase, gamma-glutamyltransferase, ferrous, ferritin, erythropoietin, cholesterol, low-density lipoprotein, triglyceride, total and conjugated bilirubin, urea, creatinine, interleukin 1, interleukin 6, interleukin 12, interleukin 18, interferon gamma, and tumor necrosis factor alpha, as compared to the untreated group. In conclusion, the obtained results revealed the anti-anemia potential of aqueous extract of G. glabra. Extraction of active molecules will be the future work to peruse. Conflicts of Interest: Declared None Funding: None
Biochemical examination of non-transgenic and transgenic soybean plants under drought stress conditions

Drought is one of the major environmental stresses limiting crop production worldwide because both the duration and the severity of the stress are critical. Plants display a variety of physiological and biochemical stress responses towards prevailing drought stress thus making it a complex phenomenon. To address the modulation of stress responses, we used Glycine max cv. MG/BR 46 Conquista (non-transgenic) and cv. BRS Valiosa (transgenic) to analyze the effects of progressive drought stress during two stages of soybean development (V2 and V4) on physiological and biochemical parameters. Three minimum soil water potentials (Ψs) were established: -0.03 MPa (well-watered), -0.07 MPa (a moderate stress), and -0.5 MPa (a severe stress). Gas-exchange measurements, lipid peroxidation, H2O2 and proline content, and antioxidant enzyme activities were analyzed in the leaves of both cultivars in the different water management levels. The results show a decrease in plant growth and gas-exchange parameters in both genotypes during progressive drought stress; the effects were more pronounced in MG/BR 46 Conquista. Proline content was less affected in BRS Valiosa. Malondialdehyde and H2O2 content increased during the drought stress but less in transgenic plants. Superoxide dismutase, catalase, and ascorbate peroxidase activities increased in BRS Valiosa at the V4 stage, whereas MG/B R 46 Conquista did not overcome stress conditions at this period. The overall results suggest that BRS Valiosa (transgenic) soybean cultivar exhibited later stress responses, which could enhance its survival during long periods of water deficit.
The influence of social and environmental factors on organization of African lion (Panthera leo) prides in the Okavango Delta

Carnivores that exhibit fission–fusion social organization can adapt group sizes to prevailing social and ecological conditions. This study focuses on social organization of African lions (Panthera leo) in the Okavango Delta, a seasonally flooded wetland. We used generalized estimating equations and generalized linear mixed models to estimate the effects of flooding, as well as prey availability and intraspecific competition on group sizes of lions. During years of high flood, total lion pride sizes as well as reproductive rates declined. Prides showed extensive overlap in annual home ranges, likely as a result of habitat saturation at high densities, and pride sizes were not limited by prey availability. At the subgroup level, the number of attending cubs was the most consistent predictor of subgroup size of adult females. For subgroups without cubs, higher numbers of neighbors in adjacent, competing prides resulted in larger subgroups in focal prides, likely to maintain numerical advantage in inter-pride encounters. Larger subgroups were also formed in response to greater availability of large prey, as successfully hunting large prey requires a greater degree of cooperation. In the southwestern Okavango Delta, competition for space resulting from changing flooding regimes is a greater limiting factor for total pride sizes than food availability.
To the question of optimization of the starting point in the routing problem with restrictions

We consider the extreme routing problem with an additive criterion, the terminal component of which depends on the starting point. This dependence may be associated, in particular, with the requirement to return to the starting point region after completing the final system of tasks that need to be ordered. The work assumes that the tasks to be performed are related with visiting non-empty finite sets called megacities. In turn, the mentioned visits are associated with the performance of works, the costs of which are involved in the formation of the criterion. Finally, the costs of external movements (between megacities) supplement the formation of an additive criterion to be minimized. It is required to find a global extremum and a solution that includes a starting point, the order of visits to megacities and a specific trajectory of the process. The solution uses widely understood dynamic programming (DP). It is significant that procedures based on DP use starting point. Therefore, enumeration of mentioned points is required. The article proposes an approach to solving the problem of reducing this enumeration through the use of auxiliary DP that are universal with respect to the choice of a starting point. The optimal algorithm was built and implemented on a PC using the aforementioned approach.
Analysis of the anti-tumor effects of novel compounds (83b1, 160a, DpC and Dp44mT) against human esophageal, prostate and colorectal carcinomas

This thesis is protected by copyright, with all rights reserved. By reading and using the thesis, the reader understands and agrees to the following terms: 1. The reader will abide by the rules and legal ordinances governing copyright regarding the use of the thesis. 2. The reader will use the thesis for the purpose of research or private study only and not for distribution or further reproduction or any other purpose. 3. The reader agrees to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
The Study of Structure Design for Dividing Wall Distillation Column

paper proposed a shortcut method for the structure design of dividing wall column based on the Fen-ske-Underwood equation by applying it on thre conventional simple column configuration. It is shown that the pro-posed shortcut method can design the column structure including the feed tray, dividing wall section, and side-streamtray in a simple and efficient way in the initial design stage. Simulation study using HYSYS to compare the energy sav-ing performance betwen the conventional sequential two column system and the dividing wal column designed by theproposed method shows that the proposed dividing wal column system saves from 16. to 65. more over the con-depends on the composition of intermediate component while the optimal energy consumption patern to internal flowdistribution on the dividing wal section is characterized by the ESI factor of the feed mixture.
Smartphone Users’ Satisfaction and Regional Aspects:Factors that Emerge from Online Reviews

This study aims to analyze which factors related to smartphone users’ satisfaction emerge from online reviews. In addition, as the study was conducted in Brazil which is a developing country with a lot of regional diversity, a secondary aim of this study is to test whether regional aspects can affect users’ satisfaction level. Online reviews were analyzed through the Content Analysis technique. Next, we carried out a quantitative analysis using Ordinal Logistic Regression. The results showed that smartphones’ features related to hardware and software and sellers’ characteristics may significantly affect users’ satisfaction. The socioeconomic factor, represented by the GDP per capita of the cities where users live, had a significant and negative impact, indicating that users in more economically developed regions attribute lower satisfaction level to smartphones. This study contributes to the literature as it used online reviews as data source, which helps identifying factors related to users’ satisfaction beyond those analyzed in previous studies that applied questionnaires.
Employee Well-Being – A Path to Redefine Workplace

Globally business senses that they need to harmonise the interest of their people rather than looking only into profits. On this aspectorganisations come across contemporary challenges and ceaseless competition on a day to day basis.Organisations try out varied solutions to equip& sustain in the cut-throat competitive environment. Solutions arise from innovations and employee workforce should be skilled enough to accept those changes.The ultimate concern for organisations is performance and it can be achieved only when employees are committed in their work and loyal to the organisation.Skilled employees play a vivid role in organisational growth and they form the base for an organisation's competitive advantage. In the fast-paced technologically innovated workplace identifying skilled employees & retaining them will pave a way for sustainable growth. Employee wellbeing is considered important to both employees (in maintaining own health) and the managers as the adverse effect of poor well-being in organisations will lead to negative performance.Employee well-being practices and defining the workplace according to the constructs of the organisation will enhance the employee organisational commitment.With the advent of technological inventions one such solution to enhance employee well-being in organisations would be implementing Artificial Intelligence in the organisations.The study wasconducted among 72 IT employees. The paper implements regression and hierarchical regression analysis to test the facilitated relationship.This study therefore highlights the importance of identifying employee well-being as a sustainable practise for better efficiency and how Artificial intelligence impacts the relationship to get the sustainable organisational commitment.
The application of Usability Testing Method for Evaluating the New Student Acceptance (NSA) System

The new student acceptance (NSA) system is a design system to automate the selection of new student admissions, starting from the registration process, and the selection process to announce the results of online elections. It executes usability evaluation to determine the level of effectiveness, efficiency, and user satisfaction. This study focuses on testing the usability of the NSA system using usability testing methods on aspects of effectiveness, efficiency, and user satisfaction at SMAN 1 Pringgarata. This study is quantitative with a descriptive research method approach. The population in this study was 40 people and the number of samples in this study was eight people. Performance measurements, retrospective think-aloud, and questionnaire techniques are techniques used for data collection. The task scenario and System Usability Scale (SUS) questionnaire with a Likert scale is the instrument used. Data analysis used descriptive statistics, user success rates and Mann Whitney U-tests. The results showed that, (1) the NSA system is effective with value 98.5%, (2) it system is efficient with the value 6 over 0, (3) after implementing the NSA system, it satisfies users (80 >68). The recommendation given is the addition of images and icons on the main page of verification so that the pages on the system are more interesting and varied.
Exotic Epiphytes on Tree Ferns in Cibodas Botanical Gardens: The Importance of Light Preferences and Host Characteristics

The study of exotic epiphytes on tree ferns is relatively scarce. Biological invasion of exotic epiphytes may imply negative consequences to native epiphytes and tree ferns, which are important components in tropical mountainous rainforest ecosystems. This study surveyed exotic epiphytes on tree ferns in Cibodas Botanical Gardens (CBG) and adjacent forests next to CBG. The objectives of this study are: a) to conduct inventory study of exotic epiphyte species on tree ferns, b) to examine how different these exotic epiphytes from each other based on their micro-climate preferences, c) to conduct invasive risk assessment of those exotic epiphytes, and d) to model the effect of environmental factors and host (tree ferns) characteristics to the occurrence of exotic epiphytes on tree ferns. We conducted multi-dimensional analysis to examine how different these exotic epiphytes based on their micro-climate parameters. We used Weed Risk Assessment (WRA) framework to estimate the invasion risks of surveyed exotic epiphytes. We performed Bayesian logistic regression to test the correlation between environmental and host characteristics and the occurrence probability of exotics epiphytes on tree ferns. We found 13 exotic epiphyte species on two native tree ferns species ( Cyathea junghuhniana and Cyathea contaminans ). Multidimensional analysis showed that Axonopus compressus is very different from other exotic epiphytes due to its environmental preferences. Ageratina riparia and Clidemia hirta were exotic epiphytes with the highest invasion risks. Therefore, we suggested that A. riparia and C. hirta are more likely to become invasive and may contribute significant impacts to native ecosystems. Lastly, the presence of Austroeupatorium inulaefolium as exotic epiphytes in tree ferns negatively correlated with the host height. Further study is needed to incorporate biological traits of the exotic epiphytes and more specific environmental parameters such as light chromatic quality in to the exotic epiphyte occurrence model. This study provides evidence for the existences of exotic epiphytes on tree ferns. The result of this study may also indicate that host characteristics and micro-climate factors could play important roles to inhibit the occurrence of exotic epiphytes on tree ferns.
A direction of arrival estimation method based on deep learning

Direction of arrival (DOA) estimation is a research subject of many experts and scholars in information, control and communication, and it is also a key technology in smart antenna and sonar array system. In this paper, the direction of arrival of the signal is estimated by establishing a classification network model of deep learning. After training, the network model can effectively identify the direction of arrival of the unknown signal. Under the same signal-to-noise ratio (SNR) environment, it is verified by software simulation that the accuracy is improved compared with the classical music algorithm.
Automatic recognition of Colombian car license plates using convolutional neural networks and Chars74k database

A methodology for the automatic recognition of Colombian car license plates using convolutional neural networks is proposed. One of the biggest challenges when using onvolutional neural network is the demand for large amounts of samples for training. In this work, we show that if we do not have enough images of vehicle license plates to carry out the training, we can complement it with databases of letters and numbers that are not extracted from cars. The network was trained with the Chars74k database and images of characters extracted from plates of Colombian automobiles. The Chars74k contains approximately 74000 images of all the letters of the Spanish alphabet and all digits from 0 to 9. From chars74k database we have chosen 33849, because the Colombian plates have only uppercase letters and digits. Only 3549 (about 10% of the total) images of characters extracted manually from plates of Colombian automobiles were added. At the input of the convolutional neural network, 70% of the images were used for training, 20% for validation and 10% for testing and the resulting validation accuracy was above 99%. By making a preliminary test on Colombian plates never before used in training, a percentage of correctly recognized plates above 98% was achieved.
Physical characteristic improvement of bentonite by pillaring method for organic compound removal.

The improvement of physical characteristic of bentonite to develop new adsorbent for organic compound removal by cation exchange properties of bentonite was investigated. Raw bentonites were pillared with tetraethyl ammonium chloride, TEA, equivalent to 0.75, 1.00, 1.25, 1.50, 1.75, and 2.00 times of bentonite CEC so that the pillared clay became more organophillic. The result showed that more surface area could be enhanced by pillaring method. After pillaring, bentonite’s Langmuir surface and micropore areas increased 26.27% or 145.12 m/g and 70.17% or 40.78 m/g, respectively. Considering the 1-day and 2-day aging time for pillaring, it’s found that BET, Langmuir surface areas and micropore area were not affected. Additionally, after replacing cation with TEA, CEC of bentonite was decreased from 67.5 meq/100 g to 37.3 meq/100 g with 44.7%. From this reason, it may imply that the pillared bentonite became higher organophilic or hydrophobic, which could be further applied for organic compound adsorption.
EFFICIENT TEXT SUMMARIZER USING POINT TO GENERATOR TECHNIQUE

—Text summarization is the system of extracting essential facts from the given facts and writing it within the form of precis. Many people locate it tough to read the whole passage of records so that it will gather the essential key factors, so we use textual content summarization to reduce the burden of analyzing big passages. Text summarization is been used in lots of application like business evaluation and marketplace overview. On the entire, by using textual content summarization we get the statistics wished simply by using studying the summary.
Effect of agricultural growth on unemployment and poverty in Nigeria 1980 2012: A cointegration approach

Unemployment and poverty are major forerunners of underdevelopment in developing countries. The economic burden of unemployment and poverty on a country necessitates this study. The objectives of the study were to examine the dimension and linkage between agricultural growth and poverty and also unemployment and to evaluate the effect of poverty and unemployment on agricultural production in Nigeria. Time series data were employed for the study from the year 1980-2012 which was sourced from central bank of Nigeria, annual abstract of statistics of the Nigeria federal office of statistics, Nigeria Bureau of Statistics and United Nations Publications. Granger causality and co-integration model were the analytical tools used. Some of the recommendations given are that agriculture in Nigeria should be given a top priority and that government bodies should encourage the poor farmers by absorbing the excess inventory of agricultural output in order to distribute it to the total populace and thus increase in agricultural production will create more employment and as a result alleviate poverty.
A report of swine erysipelas infection in an organised farm in Kerala

Erysipelothrix rhusiopathiae is an established animal pathogen causing erysipelas in animals and occasionally it causes zoonotic skin infections in humans, known as erysipeloid. The present study was aimed to investigate the cause of sudden mortality in a batch of gilts in an organised farm in Thrissur district of Kerala. The heart swabs and tissue samples (spleen, liver, lungs, and heart) collected during post-mortem examination yielded growth of small Gram positive, non-capsulated, spore forming pleomorphic bacilli. Based on cultural, morphological and biochemical characteristics, these isolates were identified as E. rhusiopathiae. Furthermore, the isolates were subjected to Erysipelothrix specific 16S rRNA based polymerase chain reaction. The isolates were sequenced for further confirmation. The isolates were confirmed as E. rhusiopathiae by phenotypic and genotypic characterisation. Timely diagnosis of the disease helped to identify the possible source of infection. This study highlights the importance of timely identification of E. rhusiopathiae infection in an outbreak; thereby adequate strategies can be implemented to control the infection.