bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of heavy metals contamination of the water resources in the vicinity of Barapukuria Coal Mine, Phulbari, Dinajpur, NW Bangladesh
Authors: Nazmul Haque Mohammad , H.M. Selim Reza A. , Kabir Sohail , Aminul Ahsan Md. , Saha Sudip , Akbor Ahedul 
Published: February 2021

The present research work shows that the concentrations of heavy metals can be expressed as Fe>Mn>Zn>Ni>Cr>Pb>Co>As in the groundwater of Phulbari area, Dinajpur, Bangladesh on the basis of their abundance. The Plio-Pleistocene Dupi Tila aquifer sediment is principally composed of quartz, feldspar and lithic grains and is characterized by low ZTR index. Seventeen groundwater samples have higher iron concentrations than the permissible limit of WHO, 2004. The chemical weathering of pyrite release iron in the natural water of the study area. The manganese content of two groundwater samples is higher than the acceptable limit. The high abundance of potassium in 11.11% water samples is indicative of the influence of agricultural activity in the investigated area. The factor analysis reveals the dominance of four factors that comprise 77.276% of the groundwater sample. The contamination index (Cd) for the heavy metals were performed and 88.89% of the groundwater samples have low contamination index. The calcium of the groundwater is resulted from the dissolution of carbonate rocks. The low arsenic concentrations indicate the fast flowing nature of the groundwater and/or low arsenic content of the aquifer sediments. The low cobalt content of the groundwater reflects the low cobalt concentration of the aquifer sediments. The heavy metal chemistry of the groundwater of the study area reveals that the quality of the water is influenced by the geogenic sources as well as the anthropogenic activities like coal mining and agricultural activities.Â Â
Petrophysical analysis of â€œexplorerâ€ wells using well log and core data(a case study of â€œexplorerâ€ field, offshore Niger Delta, Nigeria)
Authors: J. Sunday Abe , S. Ayoleyi Lurogho 
Published: February 2021

Reservoir characterization involves computing various petrophysical parameters and defining them in terms of their quantity and quality so as to ascertain the yield of the reservoir. Petrophysical well log and core data were integrated to analyze the reservoir characteristics of Explorer field, Offshore, Niger Delta using three wells. The study entails determination of the lithology, shale volume (Vsh), porosity (Î¦), permeability (K), fluid saturation and cross plotting of petrophysical and core values at specific intervals to know their level of correlation. The analysis identified twelve hydrocarbon-bearing reservoir from three different wells. Average permeability value of the reservoir is 20, 0140md while porosity value range between 18% to 39%. Fluid type defined in the reservoirs on the basis of neutron/density log signature were basically water, oil and gas, low water saturation values ranging from 2.9% to 46% in Explorer wells indicate high hydrocarbon saturation. The Pearson Correlation Coefficient and Regression Equation gave a significant relationship between petrophysical derived data and core data. Scatter plot of petrophysical gamma ray values versus core gamma ray values gave an approximate linear relationship with correlation coefficient values of 0.6642, 0.9831 and 0.3261. Crossplot of petrophysical density values and core density values revealed that there is a strong linear relationship between the two data set with correlation coefficient values of 0.7581, 0.9872 and 0.3557, and the regression equation confirmed the relationship between the two data set. Also the scatter plot of petrophysical porosity density values versus core porosity density values revealed a strong linear relationship between the two data set with correlation coefficient values of 0.7608 and 0.9849, the regression equation confirmed this also. Crossplot of petrophysical porosity density values versus core porosity density values in Well 3 gave a very weak correlation coefficient values of 0.3261 and 0.3557 with a negative slope. The petrophysical properties of the reservoirs in Explorer Well showed that they contain hydrocarbon in commercial quantity and the cross plot of the petrophysical and core values showed direct relationship in most of the wells.Â Â
Spectral re-evaluation of sediment thickness within Afikpo Basin and environs, southeastern Nigeria, using high resolution aeromagnetic dataset
Authors: Stephen Onyejiuwaka Ibe Stephen , Uche Iduma Kevin 
Published: February 2021

The discovery of hydrocarbon in the areas bordering Afikpo Basin prompted the re-evaluation of the sedimentary thickness within the basin with high resolution geophysical data. Depth to magnetic sources, sediment thickness, basement topography and structures within it were investigated using spectral analysis, analytic signal and tilt derivative of aeromagnetic data. The results show that the depth to the basement varies between 1.52 and 3.15 km; depth to intermediate magnetic anomaly sources ranges from 0.40 to 1.05 km and depth to the shallow sources varies from 0.10 to 0.34 km. Structures within the basin predominantly have NE-SW trend and the boundary between Afikpo Basin and Southwestern Basement Massif is characterised by NE-SW trending dykes with the longest dyke extending from Amasiri to Abba Omege. The results show that the basin is greatly undulated and the deformation that led to its undulation resulted in the formation of structures which could serve as traps for hydrocarbon accumulation. Sediment thickness greater than 2.3 km associated with some locations within the basin prompted the classification of the places as viable for hydrocarbon formation, if other conditions necessary for its generation are favourable. These places were recommended for further studies for hydrocarbon prospecting on the bases of their sediment structural complexities and thicknesses.Â Â
Screening of efficient phosphate solubilizing fungi from mine soil and effect of phosphofungi on seed germination and vigour index of ground nut (arachis hypogaea L.) and green gram (vigna radiata L.)
Authors: Lokesh Shanubhoganahalli Thimmappa , Naveen Kumar Kudure Jayanna , Thippeswamy Basaiah 
Published: February 2021

Background: The use of chemical fertilizers to solve the problem of nutrient deficiency in soil has been associated with a number of environmental problems.Objective: The aim of this study was to perform an isolation and screening of native phosphofungi from mine soil. To evaluate the effect of phosphofungi on seed germination and seedling vigour index of Ground nut and Green gram.Materials and Methods: The phosphofungi were screened using Pikovskayaâ€™s agar medium with tricalcium phosphate (Ca3 (PO4)2) as the phosphorus source. The soluble phosphorus, Phosphate solubilizing activity, titrable acidity, pH and fungal biomass were determined. Mineral phosphate solubilizing (MPS) activities of fungal isolates were tested in tricalcium phosphate medium.Results: Five promising phosphate solubilizing fungal species were screened. Aspergillus niger (13Â±1.0 mm) and Aspergillus flavus (8Â±0.6mm) showed the more phosphate solubilising index than compared to other fungal isolates. Analyzing the possible phosphorus released, from 3rd, 6th, 9th, and 12th day of incubation. Antagonistic effect of phosphofungi Aspergillus flavus (65Â±11 mm) and Aspergillus niger (60Â±13 mm) showed more effective against Colletotrichum sp. than compared to other fungal isolates.Â Aspergillus flavus (745Â±20Âµg/ml) and Penicillium spinulosum (600Â±20 Âµg/ml) showed maximum phosphate solubilizing activity on 3rd and 12th day of incubation. Fusarium redolens showed the more effectiveness on seed germination and seedling vigour than compared to other fungal isolates. Aspergillus flavus showed positive result for the production of Indole 3 acetic acid and remain four fungal strains are negative result.Conclusion: Biofertilizers from native phosphofungi could be used alongside reduced levels of inorganic fertilizers to enhance soil available Phosphorous.
APSO based LLRBFNN Model and Enhanced Fuzzy C Means algorithm for Brain Tumor Detection and Classification from Magnetic Resonance Image
Authors: Mishra Satyasis , Sahu Premananda , Ranjan Senapati Manas 
Published: February 2021

This paper presents a novel APSO (Accelerated Particle Swarm Optimization) Predicated LLRBFNN (Local Linear Radial Basis Function Neural Network) model for automatic encephalon tumor detection and classification. The enhanced fuzzy c means algorithm (EnFCM) has been proposed for image segmentation and the GLCM (Gray Level Co-occurrence Matrix) technique for feature extraction from MR (Magnetic Resonance) images. This research work aims to utilize the hybrid models and algorithms for relegation and segmentation of encephalon tumors from the MR images. The extracted features have been alimented as input to the proposed APSO predicated LLRBFNN model for relegation of benign and malignant tumors. In this research work the proposed LLRBFNN model weights are optimized by utilizing APSO training which will provide unique solution to mitigation the hectic task of radiologist from manual detection of encephalon tumors from MR Images. Additionally the centers of the LLRBFNN model are culled by the Enhanced Fuzzy C Means algorithm and updated by the APSO algorithm. The results of proposed PSO predicated LLRBFNN model has been compared with PSO-LLRBFNN model, APSO-RBFNN and PSO-RBFNN model and the comparison results are presented. The experimental results obtained from the proposed model shows better relegation results as compared to the subsisting models proposed anteriorly.Â Â
The Design of a Microcontroller-based Automatic Liquid Level Control System
Authors: Ahmad Saleh , Al Rahman Abu Ebayyeh Abd , Alhashmi Abdulaziz 
Published: February 2021

In this paper, a liquid level control system was designed and fabricated. Control of the liquid level was accomplished by adjusting the sup-ply voltage to a centrifugal pump that is delivering the liquid from a reservoir tank to an upper tank. The liquid level control system was implemented on an ATmega328 microcontroller. Three control strategies are implemented, manual mode, ON/OFF controller, and PID controller. Serial communication is used to establish the communication between the ATmega328 and a computer running MATLAB soft-ware. A graphical user interface was constructed to allow users to interact with the system. The system model is obtained using an experi-mental approach. The obtained model is then used for the design of the PID controller. Experimental results are provided to highlight the performance of the implemented controllers.Â Â
An optimal method for enhancing the generation of machine code from natural language data set
Authors: Ram Kinkar Chhayarani , Kumar Jain Yogendra 
Published: February 2021

Natural language processing is a very active area of research and development, there is not a single agreed upon a method that would satisfy everyone for the use of natural language to operate electronic devices or other practical applications. But there are some aspects used from many years in the formulation and solution of computational problem arising in natural language processing. This paper describes a model in which numerical values are assigned to word of natural language speech data set to convert the information present in natural language speech data set into an intermediate numeric form as a structured data set. The intermediated numerical values of each word will be used for generation of machine code which will be easily understand by electronic devices to draw inferences from data set. The designed model is useful for a number of practical applications and very simple to implement.Â Â
Performance evaluation of mechanical properties of self-compacting concrete using artificial neural network
Authors: N.S.Al qadi Arabi , Haddad Madhar 
Published: February 2021

This experimental study was undertaken to investigate the effects of using local materials (cement, fly ash, super-plasticizer, coarse aggre-gate, and sand) on the mechanical properties of Self-Compacting Concrete (SCC). For this purpose, a total of 31 mixtures of SCC were prepared by the neural network design methods. Furthermore, based on the experimental results, the neural network model-based clear for-mulations were developed to predict the mechanical properties of SCC. The test results have shown that mineral admixtures were very effective on hardened properties of SCC. In addition, it was found that the developed model by using neural network appeared to have a high predictive capacity of hardened properties of SCC with respect to regression and experimental.Â Â
Voltage regulation and minimization of loses in the presence of renewable energy sources on the medium voltage network
Authors: Dib M. , Nejmi A. , Ramzi M. , Elhafyani M. 
Published: February 2021

The Moroccan electricity network has been designed and sized to work with high power outputs connected to the transmission network. This it delivers a unidirectional power flow from production to consumption. In this configuration, the electricity network carries electricity from production plants mainly connected to the transmission network to customers through the distribution network. Therefore, voltage-setting devices on the distribution network such as load-adjustable power transformers and medium voltage MV capacitor banks are set and operated. The inclusion of the Decentralized Generation (DG) based on renewable energies can induce a reversal of the power flow on the distribution network. This raises problems of voltage regulation in the presence of renewable energy sources. This article shows the limit of the current voltage regulation deployed solutions and exposes a solution for adjusting the voltage on the distribution grid in the presence of renewable energy sources connected to medium voltage MV. We will apply ETAP software to a real network located in the eastern zone for the conducted investigation. Later, an optimization approach aiming to minimize losses and improve the voltage plan will be presented at the end.Â Â
Thermal-hydraulic analysis of fuel rod of a TRIGA Mark II research reactor
Authors: Shafiqul Islam Md , Hossain Khan Abid 
Published: February 2021

In this work, the feasibility of employing â€œSingle Flow Channel Analysisâ€ technique for obtaining the thermal-hydraulic behavior of a TRIGA Mark II research reactor has been studied. Two different simulation methods have been investigated for this purpose; one in which there is no variation in volumetric heat generation along the fuel axis and the other in which there is variation. A hot rod factor of 1.70 has been taken. Results obtained from simulation methods have been compared with both theoretical results and experimental data provided by the manufacturers. Results show that data generated from both simulation methods are more accurate compared to theoretical calculations. Also, the simulation method exempting variation of heat generation has predicted maximum temperature of the fuel centerline just above 750 oC, which is sufficiently accurate. However, temperatures obtained at different axial and radial locations are not close to the experimental values. On the other hand, the simulation technique in which variation of heat generation exists has been able to provide temperature profiles inside the fuel rod and cladding surface almost identical to the experimental values. However, temperature profile of the fuel outer surface is found to be quite different from experimental values.Â Â
Research on student portal usage and its issues: a case study on Saudi Arabia universities, academic perspective
Authors: Suliman T Alatawi Salem , Syed Abdullah Norris , Miskon Suraya 
Published: February 2021

With the rapid development of information and communication technologies (ICTs), having a website is inevitable for the organizations. Ministry of Saudi Arabia has adopted a policy to use ICT to universities to improve their university portals and services that they offer. Although having good ICT infrastructure in the Saudi Arabian universities, the usage of university portal still low. This paper aims to identify the current situation of studentâ€™s portal usage and its content issues that face student in Saudi Arabia universities, and how to solve these issues to produce good quality of portal content that can encourage the students to use the student portal. An online survey questionnaire was collected from 40 academic staff from various universities in Saudi Arabia, and reviewed a numbers of papers. The findings reveal that there is a lack of studentâ€™s portals contents, awareness of using ICT, and training and guidance. By enhancing quality of content that will increase the student satisfaction to use the portal, and that will help the university to produce good portal to their students.Â Â Â
Fatigue strength of a tensile-shear loaded clinched joint made from an al-5052 alloy sheet
Authors: Han J. , T. Hwang W. , E. Lee C. , K Kim H. 
Published: February 2021

The clinching process has been shown to be able to join dissimilar material sheets as an alternative to spot welding. In this study, monotonic and fatigue tests were conducted using tensile-shear specimens for an evaluation of the strengths of a joint. In the fatigue tests, an interface failure occurred. The fatigue ratio of the joint is 0.29, assuming a fatigue endurance limit at 2 x106 cycles. The maximum von-Mises stress of the joint at the load amplitude corresponding to the fatigue endurance limit is slightly higher than the yield strength of Al-5052 alloy. This indicates that the strength of the neck region is increased partially due to work hardening.Â Â Â
A new multistage Parker-Sochacki method for solving the Troesch’s problem
Authors: Akindeinde Saheed , Adesanya Samuel , Lebelo Ramosheuw S. , Moloi Kholeka C. 
Published: February 2021

In this article, we introduce a new method to obtain an approximate analytical solution of the highly unstable Troesch’s problem. In the proposed method, without recourse to any hyperbolic tangent transformation or finite term approximation of the hyperbolic sine function, the problem is recast as a system of projectively polynomials which allows straightforward computation of the series solution of the problem. The radius of convergence of the series solution to the problem is derived a-priorly in terms of the parameters of the polynomial system. Using a step length ; the problem domain is divided into subintervals, where corresponding subproblems are defined and solved with Parker-Sochacki method with very high accuracy. Highly accurate piecewise continuous approximate solution is thus obtained on the entire integration interval. The obtained solution, which is valid for every choice of the Troesch parameter , showed comparable accuracy to known numerical solutions in the literature. In particular, new results are presented for large values of in the range [20;500].
Analysis of the time series of seismic and deformation monitoring, obtained from closed works at the Kirovsky mine of JSC "Apatite"
Authors: Aleksandr P. Gospodarikov , Konstantin V. Morozov , Ilia E Revin 
Published: February 2021

The article is devoted to the analysis of the time series, obtained from seismic and deformation monitoring from closed works of Kukisvumchorr deposit JSC "Apatite". The objective of this study is to develop a method for assessing the results of monitoring geomechanical processes in the rock mass on the example of the Kirov mine JSC "Apatit". As a result of closed works, rock masses are changing its natural state of stress. This article has consistently outlined the use of machine learning algorithms in applied problems of geomechanics and geoinformatics. By comparing the schedule of mining operations and seismic activity data with time series of deformations, it is possible to obtain a functional relationship that predicts the distribution of deformations in the rock massif. The results of a computational experiment illustrating the possibility and feasibility of using machine learning algorithms in solving geomechanics problems are presented.Â Â
Design of Low Noise Amplifier for WLAN using pHEMT
Authors: Thirunavukkarasu G. , Murugesan G. 
Published: February 2021

The low power consumption devices are frequently focused in design and manufacturing wireless communication system. This paper gives a systematic design of a low noise amplifier for WLAN application aimed to obtain minimum noise figure. The simulation result shows that the noise figure is in the appreciable level (1.67 dB). The maximum gain is greater than 10 dB. These are the predominant requirements of an LNA. Also it posses good stability and the LNA design uses pHEMT for its appreciable noise performance.Â Â
The role of psychological empowerment and job satisfaction on turnover intentions directly and indirectly through affective commitment on registered nurses in healthcare industry of twin cities (Islamabad and Rawalpindi) of Pakistan
Authors: Rafiq Nosheen , Syed Haider Ali Shah Dr. , Sajjad Shakeel , Ahmed Salem Alyafei Saleh 
Published: February 2021

The shift from financial capital to the human capital has brought a significant change in the workplace and market. The role of nurses is getting crucial day by day and there is great need of retention of nurses in order to sustain the smooth operation of hospitals. Nursesâ€™ turnover has gained much importance and has become a concern for the hospitals. Psychological empowerment plays a vital role in retention of the employees and in return leads to success of the organization. Proper psychological empowerment and job satisfaction build such an environment that leads to develop people and enhance their affective commitment in industry like service industry, particularly in healthcare industry where the first impression of an organization is portrayed by their nurses. Researchers and practitioners have paid much of their attention to understand this phenomenon. The aim of the study is to investigate the role of psychological empowerment and job satisfaction on nursesâ€™ turnover intentions directly and indirectly through affective commitment. This study filled the gap by investigating such relationships in healthcare industry which has previously neglected, particularly at nurses level. A total of 520 questionnaires have been distributed in registered public and private hospitals located in twin cities of Pakistan. Structural Equation Modeling (SEM, AMOS) was employed to test hypotheses. This study showed relationships and interesting findings with mediation analysis. Findings of this study are important for top management of hospitals. In order to retain nurses, this study offers the theoretical and practical implications which could be used to enhance the affective commitment of nurses and reduce the turnover intentions.Â Â
Developing a new approach to summarize Arabic text automatically using syntactic and semantic analysis
Authors: Alkhudari Amal 
Published: February 2021

Due to the wide spread information and the diversity of its sources, there is a need to produce an accurate text summary with the least time and effort. This summary mustÂ preserve key information content and overall meaning of the original text. Text summarization is one of the most important applications of Natural Language Processing (NLP). The goal of automatic text summarization is to create summaries that are similar to human-created ones. However, in many cases, the readability of created summaries is not satisfactory, Â Â because the summaries do not consider the meaning of the words and do not cover all the semantically relevant aspects of data. In this paper we use syntactic and semantic analysis to propose an automatic system of Arabic texts summarization. This system is capable of understanding the meaning of information and retrieves only the relevant part. The effectiveness and evaluation of the proposed work are demonstrated under EASC corpus using Rouge measure. The generated summaries will be compared against those done by human and precedent researches.Â Â