Miracle-dz/UniFAR-FTUs huggingface dataset:
A NEW TOOL FOR DETECTING ADVERSE EVENTS ASSOCIATED WITH ORAL ANTIDIABETIC AGENTS

In diabetes mellitus, adverse events associated with oral antidiabetics agents may interfere with the patients health. This paper presents a study to design and validate a questionnaire to identify adverse events associated with oral antidiabetic agents in primary health care units. After design and field testing of the questionnaire, a cross-sectional observational study was conducted by applying the questionnaire through interview to 357 type 2 diabetics in six primary health care units of the central region of Portugal, between January and December 2013. Descriptive and inferential statistics analysis after checking for the normality of the data was performed. Internal consistency was explored using Cronbach's alpha coefficient; the construct validity was assessed through factor analysis after the KaiserMeyer-Olkin test (KMO) and Bartlett's test of sphericity. The accepted level of significance was of ð <0.05. The questionnaire included 22 adverse events, a KMO value of 0.649, Bartlett test: p <0.000 and Cronbach's alpha= 0.691. Fifty-five percent (55.2%) of diabetics enrolled in the study (mean age of 67.5 ± 9.5 years) were women. The average development time from onset of disease was 9.1 ± 7.2 years. The most widely used oral antidiabetic drugs are biguanides (62.5%) and metformin+vildagliptin (16.8%), as monotherapy and combination therapy, respectively. The most adverse events pointed out by patients were "Arthralgia" (16.8%), "Paresthesias" (4.5%), "Flatulence" (3.9%) and "Peripheral edema" (2.8%). Testing of the questionnaire revealed good patients acceptability and comprehensibility, showed acceptable reliability, and that it is easy to apply in primary health care units.
The use of laser scanning in the survey of the postern of the Kłodzko Fortress

This article presents the significance of laser scanning as a method of acquiring spatial data and the significance of this method during the process of survey of historic monuments. The authors of the paper focus on the survey of the postern located under the eastern slope of the Kłodzko Fortress and connecting the town with the upper levels of the fortification. With the use of laser scanning, a three-dimensional image of the postern was obtained. Based on the results of measurements, it is possible to specify the dimensions of tunnel elements which are difficult to measure, such as the buried fragment of the postern and the height of the embankment located above the tunnel. The research conducted by the authors of the article has been juxtaposed with the available archival materials concerning this part of the Kłodzko Fortress.
Solar driven photocatalytic degradation of organic pollutants via Bi2O3@reduced graphene oxide nanocomposite

A one-step, simple preparation of plant extract mediated reduced graphene oxide nanocomposite (Bi2O3@RGO) is performed by using an aqueous extract of flowers of Aerva javanica. The reduction of metal and graphene oxide for nanocomposite preparation is done in a single step where the metabolites present in A. javanica played a significant role as reducing and stabilizing agents to prevent agglomeration. UV/Vis, X-ray diffraction, and Fourier transform infrared analysis confirmed the anchoring of bismuth oxide nanoparticles on RGO sheets with an average particle size of 12 nm calculated by Scherrer’s formula. The as-prepared nanocomposite displayed significant potential as photocatalyst in solar-driven photodegradation of industrial dyes, that is, Alizarin yellow (AlY), Methylene blue (MB), and Lissamine green (LG). The results indicated that 25 mg of synthesized material was able to perform 32.51%, 41.50%, and 52.89% degradation of Lissamine green, Alizarin yellow, and Methylene blue, respectively, in 1.5–2 h using sunlight irradiation. Bi2O3@RGO is found more efficient for the photodegradation of MB and photo-degradation of all dyes obeyed pseudo-first-order kinetics. Furthermore, this work was encouraging, as plants extract mediated nanocomposite was found to be useful in mg amount for environmental protection applications.
Poverty and Digital Divide: A Study in Urban Poor Neighborhoods

Literature suggests that the penetration of digital technology may create a digital divide, particularly for groups that lack resources and the capacity to access technology. This study is keen to examine the poverty and digital divide, particularly in urban poor areas. There are two research objectives. Firstly, to examine the digital diffusion and digital literacy within poor urban neighborhoods in the City of Magelang, Central Java, Indonesia. Secondly, to understand the variation of digital diffusion and digital literacy across areas (with different levels of poverty), age groups, genders and occupations. The data is collected from surveys focused on measuring the access to information, digital diffusion and the use of technology among the poor. This study found that there is a digital divide problem among people in urban areas, especially among people with low incomes. Moreover, the diffusion is dominated by certain groups such as younger people and females. Furthermore, digital literacy among the poor is low. The policy implication is to improve access for digital diffusion and provide assistance to improve digital literacy skills.
Spectral Conjugate Gradient Like Method for Signal Reconstruction

This paper presents a derivative-free conjugate gradient algorithm for solving the l 1 -regulariza- tion problem arising in compressive sensing. The search direction of the proposed method is bounded and satisﬁes the suﬃcient descent condition. Under some mild assumptions, the global convergence of the proposed algorithm is established. Numerical experiments in recovering sparse signal are performed to illustrate the eﬃciency of the algorithm compared with existing algorithms
LC-MS/MS Profiling of 37 Fingerprint Phytochemicals in Oenanthe fistu- losa L. and its Biological Activities

Department of Chemistry, Faculty of Exact Sciences, University of Constantine 1, Constantine, Algeria; Department of Natural and life Sciences, Faculty of Sciences, University of Skikda, Skikda, Algeria; Department of Natural and Life Sciences, Faculty of Sciences, University of M’sila, BP 166 M’sila, 28000, Algeria; Laboratory of Ethnobotany and Natural Substances, Department of Natural Sciences, Ecole Normale Supérieure (ENS), Kouba, BP 92 Kouba 16308, Algeria; Department of Chemistry, Muğla Sitki Koçman University, Kötekli-48000, Muğla, Turkey; Department of Biology, University of Tiaret 14000. DZ, Tiaret, Algeria; Department of Pharmacognosy, Faculty of Pharmacy, Zagazig University, Zagazig–44519, Egypt
Understanding ICT adoption amongst SMEs in Uganda: Towards a participatory design model to enhance technology diffusion

Policy statements by the United Nations, the African Union and most African countries boldly pronounce on the anticipated benefits of the internetworked world and associated ICT to society in general and to the world of business specifically. In terms of the latter, Small and Medium Enterprises (SMEs) are recognized as being critical to the growth of developing economies. There is consensus that this sector has considerable potential for improved business outcomes through the harnessing of Information and Communication Technologies (ICTs). However, a problem of low adoption of ICT in this sector still prevails in Africa and there is a gap in our understanding of the reasons for this. In light of this problem, this paper reports on a survey of Ugandan SME owners in which their ICT pre-usage beliefs and attitudes are explored. The study identified four pre-use factors that are correlated with ICT use. The pre-usage beliefs which significantly influence decisions to adopt and use ICT include Benefit expectation, ICT learnability, User-confidence, and User-friendliness. These are found to be key determinants of ICT adoption. ICT support and ease-of-use on the other hand were factors that did not correlate with decisions to use ICT. However, it is found that there is a low predictive capability (17.7%) of pre-usage beliefs and attitudes in respect of prior use or non-use of ICT among SMEs. As such, this study found that other contextual factors constitute a greater (82.3%) predictive percentage. In light of this, the paper concludes by recommending an ICT participatory design process to mitigate ICT pre-use scepticism among SMEs owners.
Socio-economic Impacts of Wastewater Irrigation on Local People in the Outskirts of Chandigarh Urban Areas

The use of wastewater for irrigation is a valuable strategy to maximize available water resources, but the fringe quality of the water can present innumerable challenges. Water scarcity pushes the farmers to use wastewater for irrigation as an available alternate source. The present study was conducted in the peri-urban areas of well-planned city Chandigarh with a primary objective to obtain information about the current status of wastewater use for irrigation and socio-economic reasons for using wastewater from the farmers’ perspective. Therefore, nineteen (19) villages were selected nearby four seasonal choes around the study sites. At the site, we found that 64% of farmers were using freshwater, and the remaining farmers were using wastewater for crop irrigation. In this study, two contrasting perceptions were observed among the farmers about wastewater irrigation. Results indicated that farmers have a piece of relatively good knowledge about the inappropriate quality of wastewater and its adverse effects. Although they were concerned about the health, environmental and social impacts of wastewater yet, they believed that using this water resource is economically profitable for them. Thus, the present study highlighted the need for planning to improve wastewater treatment along with appropriate policies and methods to enhance farmers’ commitment to environmental conservation and human health.
Demographic and Psychological Determinants of Consumerism and Purchase Intention in the Middle East Markets

This study explores the way in which the market research function can facilitate entry into developing markets by analysing the demographic, and psychological parameters of the Arab consumers in the gulf countries. After collecting data from real participants )n=601(, partial least squares approach to structural equation modelling )PLS-SEM( was used to analyse the latent variables and their indicators. The results indicate that developing markets benefit from in-depth market research functions to flesh out the plan for a product, service or brand. This research function should utilize demographic data to segment the target market into more manageable sections. The psychological determinants which defined the marketing strategies developed ensured that the results were more cost-effective. Although consumer’s psychologicallybased behaviour and their demographic variables affect performance in emerging markets, behavioural intention to buy brands in the countries of the Gulf Cooperation Council has the greatest effect. Therefore, affinity marketing with luxurious products would be lucrative if it served such customers.
THE PURDUE UNIVERSITY GRADUATE SCHOOL STATEMENT OF DISSERTATION APPROVAL

Ravandi, Babak PhD, Purdue University, December 2019. Analysis of Controllability for Temporal Networks . Major Professors: Fatma Mili and John A. Springer. Physical systems modeled by networks are fully dynamic in the sense that the process of adding edges and vertices never ends, and no edge or vertex is necessarily eternal. Temporal networks enable to explicitly study systems with a changing topology by capturing explicitly the temporal changes. The controllability of temporal networks is the study of driving the state of a temporal network to a target state at deadline tf within ∆t = tf − t0 steps by stimulating key nodes called driver nodes. In this research, the author aims to understand and analyze temporal networks from the controllability perspective at the global and nodal scales. To analyze the controllability at global scale, the author provides an efficient heuristic algorithm to build driver node sets capable of fully controlling temporal networks. At the nodal scale, the author presents the concept of Complete Controllable Domain (CCD) to investigate the characteristics of Maximum Controllable Subspaces (MCSs) of a driver node. The author shows that a driver node can have an exponential number of MCSs and introduces a branch and bound algorithm to approximate the CCD of a driver node. The proposed algorithms are evaluated on real-world temporal networks induced from ant interactions in six colonies and in a set of e-mail communications of a manufacturing company. At the global scale, the author provides ways to determine the control regime in which a network operates. Through empirical analysis, the author shows that ant interaction networks operate under a distributed control regime whereas the e-mails network operates in a centralized regime. At the nodal scale, the analysis indicated that on average the number of nodes that a driver node always controls is equal to the number of driver nodes that always control a node.
Lattice Boltzmann Simulations of Coupled Mixed Convection and Radiation Effect in a Two-Sided Lid-Driven Enclosure

Using Lattice Boltzmann Method (LBM), the mixed convection and surface radiation effect in a two-sided lid-driven square cavity is studied numerically with air as a working fluid. The numerical code is validated against results available in the literature. The parameters governing the problem are the emissivity of the walls, the Reynolds number and the Richardson number that was varied through the Grashof number. The results obtained show significant effects of the Richardson number and surface radiation on the overall structure of the flow and heat transfer characteristics. The contribution of radiation component to the total Nusselt number outclasses that of convection for high emissive walls at some threshold value of Richardson number.
Using Latent Semantic Analysis to Identify Successful Bloggers

Recently, research has been done on identifying the inﬂuential bloggers in a community based on links between blogs. It would be interesting to identify whether characteristics of informal written text alone, such as vocabulary or word choice, could be used to predict how popular a weblog will be. We cast this as a semantic problem and attempt to use latent semantic analysis to predict the comment density of comments left by both registered and unregistered users. Initially, we cluster the document vectors in the reduced space using k-means++, but this approach produces results that suggest the resulting document clusterings were topic-based. We then create a classiﬁcation sys-tem to predict the comment density of unseen blogs by constructing simple vector space models of high-density and low-density blogs. The initial results of the classiﬁcation approach are above chance levels, and suggest future direction for this line of research.
An Improved Integral Column Generation Algorithm Using Machine Learning for Aircrew Pairing

The crew-pairing problem (CPP) is solved in the first step of the crew-scheduling process. It consists of creating a set of pairings (sequence of flights, connections, and rests forming one or multiple days of work for an anonymous crew member) that covers a given set of flights at minimum cost. Those pairings are assigned to crew members in a subsequent crew-rostering step. In this paper, we propose a new integral column-generation algorithm for the CPP, called improved integral column generation with prediction ([Formula: see text]), which leaps from one integer solution to another until a near-optimal solution is found. Our algorithm improves on previous integral column-generation algorithms by introducing a set of reduced subproblems. Those subproblems only contain flight connections that have a high probability of being selected in a near-optimal solution and are, therefore, solved faster. We predict flight-connection probabilities using a deep neural network trained in a supervised framework. We test [Formula: see text] on several real-life instances and show that it outperforms a state-of-the-art integral column-generation algorithm as well as a branch-and-price heuristic commonly used in commercial airline planning software, in terms of both solution costs and computing times. We highlight the contributions of the neural network to [Formula: see text].
ISOLATION AND IDENTIFICATION OF CRYPTOSPORIDIUM SPECIES INFECTION IN LAMBS IN BABYLON PROVINCE, IRAQ

The purpose study was to determine the prevalence of infection with Cryptosporidium in lambs in Babylon Province, Iraq. One hundred fecal samples were collected from lambs aged 1 to 12 months in 3 areas of the province of Babylon, in the center of Iraq. The samples were screened for Cryptosporidium spp. Oocysts using Sheather 's concentration solution and updated Ziehl–Neelsen staining process. Cryptosporidium spp. oocysts were present in 31% of lambs. The results showed no significant differences (p >0.05) in prevalence rates among different area of study. The infection rates in Al-Hilla, Al-Musaib and Al-Qasim were 27.5%, 30% and 36.66% respectively. The sex of lambs had no effect on the infection ratio with Cryptosporidium. The infection rate was 26.3 % for males and 37.2 % for females respectively. The results showed significant (p < 0.05) differences in prevalence rates among different age groups of lambs infected with Cryptosporidium, with the highest infection rate in age group <1 – 3 months (51.3%) and the lowest rate in age group 7–9 months (15.3%). The parasite presence. In lambs in the province of Babylon, this Cryptosporidium spp. may also be included in the etiology of diarrhea-exhibiting lambs.
A Novel User-Centric Method for Graph Summarization Based on Syntactical and Semantical Attributes

In this paper, we proposed an interactive knowledge-based method for graph summarization. Due to the interactive nature of this method, the user can decide to stop or continue summarization process at any step based on the summary graph. The proposed method is a general one that covers three kinds of graph summarization called structural, attribute-based, and structural/attribute-based summarization. In summarization based on both structure and vertex attributes, the contributions of syntactical and semantical attributes, as well as the importance degrees of attributes are variable and could be specified by the user. We also proposed a new criterion based on density and entropy to assess the quality of a hybrid summary. For the purpose of evaluation, we generated a synthetic graph with 1000 nodes and 2500 edges and extracted the overall features of the graph using the Gephi tool and a developed application in Java. Finally, we generated summaries of different sizes and values for the structure contribution ( parameter). We calculated the values of density and entropy for each summary to assess their qualities based on the proposed criterion. The experimental results show that the proposed criterion causes to generate a summary with better quality.
Probabilistic Forecasting of the 500 hPa Geopotential Height over the Northern Hemisphere Using TIGGE Multi-model Ensemble Forecasts

Bayesian model averaging (BMA) and ensemble model output statistics (EMOS) were used to improve the prediction skill of the 500 hPa geopotential height field over the northern hemisphere with lead times of 1–7 days based on ensemble forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF), National Centers for Environmental Prediction (NCEP), and UK Met Office (UKMO) ensemble prediction systems. The performance of BMA and EMOS were compared with each other and with the raw ensembles and climatological forecasts from the perspective of both deterministic and probabilistic forecasting. The results show that the deterministic forecasts of the 500 hPa geopotential height distribution obtained from BMA and EMOS are more similar to the observed distribution than the raw ensembles, especially for the prediction of the western Pacific subtropical high. BMA and EMOS provide a better calibrated and sharper probability density function than the raw ensembles. They are also superior to the raw ensembles and climatological forecasts according to the Brier score and the Brier skill score. Comparisons between BMA and EMOS show that EMOS performs slightly better for lead times of 1–4 days, whereas BMA performs better for longer lead times. In general, BMA and EMOS both improve the prediction skill of the 500 hPa geopotential height field.
Smart Doorbell Security System Using IoT

—Security has always been an important issue in the home or ofﬁce. A remote home security system offers many more beneﬁts apart from keeping home owners, and their property, safe from intruders. The system is composed of the Doorbell interfaced with Raspberry pi, whoever press the doorbell, the camera gets triggered and capture their face and it checking for their face with its database which already has registered faces, if it is an authorized person door will open, otherwise it sends an OTP with their photograph of the intruder to server mail. Only when non authorized person entered that OTP, that face gets added to the authorized person’s database to open the door. Smart doorbells allow home owners to receive alerts when a visitor is at the door, see who the guest is, and communicate with the visitor from a smart device. They greatly improve people’s life quality and contribute to the evolution of smart homes
The Influence of the Role of Leadership and Compensation on Employee Performance of PT Taiho Nusantara

This research was conducted to find out how much influence the leadership and compensation have on the performance of the employees of PT Taiho Nusantara partially and simultaneously. The method used in this research is descriptive and verification. The population is all employees of PT Tiho Nusantara by taking 105 employee samples. The data collection techniques are through interviews, questionnaires and observations, and data analysis used Path Analysis. The results showed that the correlation between variables X1 and X2 obtained the magnitude of the correlation coefficient between the independent variables, namely the role of leadership (X1) with compensation (X2) can be valued at 0.875. Thus the role of leadership (X1) with compensation (X2) has a strong and two-way relationship because of its positive value. And for the influence of the leadership role variable (X1) on employee performance variables (Y) is 0.382. This shows that the direct influence of the leadership role variable (X1) on employee performance variables (Y) is 0.392 so that the equation Y = 0.382 X1 is obtained. And the results for the Compensation variable (X2) against employee performance variables (Y) are 0.587. This shows that the direct effect of the Compensation variable (X2) on employee performance (Y) is equal to 0.575 so that the equation Y = 0.587 X2 is obtained. Then the path of the storage role variable (0.382) is lower than the compensation variable (0.587), meaning that compensation (X2) has more influence on employee performance (Y). While the influence of leadership roles (X1) and compensation (X2) simultaneously (overall) on employee performance (Y) with the result that the value of sig. (0,000) ftable (3.09) then Ho is rejected. Thus it can be concluded that the role of leadership and compensation simultaneously influences the performance of its employees.