Miracle-dz/UniFAR-FTUs huggingface dataset:
An Assessment of Performance Drivers Used in the Manufacturing Sector

This research study sought to evaluate performance drivers and measures used in the manufacturing industry, establish effectiveness of various measurement approaches and indicators used, and the relationship between approaches to performance drivers and organizational performance. The research study adopted an interpretive research stance; supplemented by a mixed research approach. A case study focusing on the Boeing Company was analyzed, data was collected using secondary sources, and content analyzed. The findings indicate that the key performance drivers include order to delivery speed, innovation, process automation, brand reputation, and customer acquisition. Various financial and non-financial performance measures include operating cash flow, net earnings, operating margins, revenues, earnings per share, production rate, order backlog, airplane deliveries, carbon emission reductions, water intake, energy use, hazardous waste discharge, employee giving back to the community, new product development, customer churn, new total orders, net orders, and orders cancelled. The study concluded that the ability to integrate the non-financial measures with the financial ones provides a balanced picture to the organization. Performance measurement is purposeful in establishing areas of weakness, which provide the basis for improvement, accountability purposes, evaluation and control, and benchmarking against competitors. No evidence indicating the use of performance measurement for purposes of employee motivation and reward, accomplishment of budgeting activities, and proper resource allocation. Although the performance measures and indicators used are broadly effective, key weaknesses exist.
Factors Associated with First Antenatal Care Booking among Pregnant Women at a Reproductive Health Clinic in Tanzania: A Cross Sectional Study

Background: Antenatal care (ANC) is a key basic intervention targeting maternal and perinatal morbidity and mortality. The World Health Organization (WHO) recommends the first ANC booking before 12 weeks of gestation. This enhances positive maternal and fetal outcomes through early detection of complications, prompt treatment, referral, and management of expected physiological changes. Despite high ANC coverage (98%), free contacts, and easy accessibility, little is known why few (24%) pregnant women in Tanzania book their first ANC-visit early. This study aimed to identify factors associated with first ANC booking among pregnant women in a Tanzanian reproductive health clinic. Methods: Systematic random sampling was used to recruit 311 eligible pregnant women. Study data were collected using a structured interviewer-administered questionnaire containing 22 closed ended questions. Data were analyzed using descriptive statistics. Frequency distribution tables and figures were generated. Multivariate analysis was used to assess the influence of the independent variables on the dependent variable. A p-value < 0.05 was considered statistically significant. Results: In total, 311 pregnant women were interviewed; 31.2% (n = 97) booked their first ANC-visit within 12 weeks of gestation and 68.8% (n = 214) after 12 weeks of gestation. Early ANC booking was associated with tertiary education, planned pregnancy, earlier pregnancy recognition, and experience or presence of any complications. Commonly reported barriers to early ANC booking included not knowing the recommended time to initiate booking (37.6%), waiting for the fetus to move (28.6%), and previous experience of waiting a long time (15.8%). Conclusion: Most pregnant women booked their first ANC visit later than WHO and national recommendations. Women thus miss accurate early pregnancy assessment for better positive pregnancy outcomes.
A Watermark Technique based on SVD and DWT composite Function with QR-code

Nowadays, due to development in digital image and internet technology common users can easily copy important data and produce illegal copies of image. So digital multimedia data exchange through internet is main idea which requires protection to enhance security, to resolve the copyright protection problem of various multimedia data and image, we propose different watermark technique used for data hiding by applying the QR Code technique. By using QR code we have propose DWT (Discrete-Wavelet-Transform), SWT (Stationary-Wavelet-Transform), SVD (singular-value decomposition) methodology for watermarking technique. The 2D barcode with a digital watermark is a widely interest research in security. The combination of DWT and SWT with SVD give better security, robustness and imperceptibility.
A Review on the Security Issues in Cloud Computing Models

: As predicted, computing has become the fastest growing services in recent years and has acquired a new dimension in the form of cloud computing. It is greatly influenced by merging of internet with computing, sharing of resources and combining the advancements in technologies that paved to various cloud offerings. The fundamental guidelines of cloud computing model are computing, storage, Security & programming as an administrator. But the size of computation & demand for higher computation is growing very rapidly which is causing an uneven and heavy workload on cloud resources. Due to this rapidly increase of data, there is the need of security as per the increasing demand. But due to this increasing cloud demand, security of cloud data has become a problem for the future. So, here we are discussing about the security issues in the cloud data, service and deployment models.
Parallel HITS Algorithm Implemented Using HADOOP GIRAPH Framework to resolve Big Data Problem

The Hypertext Induced Topic Search (HITS) algorithm developed by Kleinberg is a ranking technique to evaluate correlative authority and hub scores of web pages by exploring the hyperlink structure of the web. Today, the web graph has enormous size, and computing Authorities and Hub values effectively and rapidly for such massive data is truly a difficult task. In this paper, we present a parallel-distributed implementation of HITS algorithm on Hadoop framework using Giraph. The proposed work is analyzed on three standard datasets taken from Stanford University. The experimental outcomes illustrate that the proposed distributed HITS algorithm is more efficient and faster in terms of computational time than sequential HITS algorithm for colossal web graphs.
INFLUENCE OF GIBBERELLIC ACID CONCENTRATIONS AND APPLICATION TIME ON PRE AND POST HARVEST PERFORMANCE OF LIMEQUAT (Citrus floridana)

The influence of gibberellic acid concentrations and application time on pre and post-harvest performance of limequat (cv. China Lime) was investigated in District Nowshera, KPK, Pakistan during 2016. The experiments were laid out in Randomized Complete Block Design (RCBD) and Completely Randomized Design (CRD) with two factors repeated three times. Different concentrations of GA3, i.e. 0, 5, 10 and 15 ppm were used at 0, 7, 14 and 21 days interval after the cell expansion stage. The pre-harvest experiment results indicated that minimum fruit drop (4.49%), maximum number of fruits plant (562.22), fruit diameter (3.23 cm), yield plant (17.62 kg), juice content (36.90%), titratable acidity (6.00%), ascorbic acid (24.08mg100ml), with minimum juice TSS (5.90Brix) was observed in fruits treated with 15 ppm of GA3. In application time, minimum fruit drop (5.54%), maximum number of fruits plant -1 (540.92), fruit diameter (3.27 cm), yield plant (17.39 kg), juice content (36.94%), titratable acidity (5.95%), ascorbic acid (23.89mg100ml) with minimum juice TSS (5.99Brix) was recorded at the onset of cell expansion stage. In postharvest experiment, the GA3 significantly affected all the quality parameters of limequat fruit. Minimum weight loss (15.15%) with maximum juice content (31.85%), titratable acidity (5.86%), ascorbic acid (19.57 mg100ml), and minimum juice TSS (6.68Brix) was recorded in fruits treated with 15 ppm of GA3. Similarly in storage durations, the highest TSS (7.90Brix), weight loss (32.36%) with minimum juice content (22.96%), titratable acidity (5.66%) and ascorbic acid (12.54mg100ml) were recorded in fruits stored for 21 days of storage. It is concluded from the current study that GA3 application at 15 ppm increased the yield and quality of limequat fruit. GA3 application at the onset of cell expansion stage might be done to reduce the pre and postharvest loses of limequat fruit.
Multi Client Support Third Party Auditor (TPA) for Cloud Data Integrity and Security

— Cloud computing provides many benefits for the users to create and store data in the remote servers thereby utilizing fewer resources in client system. In this paper we have presented the extended approach for cloud computing data security and integrity verification with data dynamics under the multiple users. Previously the efficient approach is presented with single client which is gets connected with TPA and CSS (Cloud Storage Server) for data dynamics and integrity verification. However under the cloud environment there may be multiple clients connected with CSS; hence we are aiming to utilize the approach efficiently for such cases by using the concept of synchronization of multiple clients with TPA and CSS. This paper is focusing over security and integrity of data stored at untrusted or semi-trusted cloud storage server under multiple clients. Here importantly it needs to monitor the tasks related to data auditing efficiently as per the clients requests. The proposed system is capable of supporting both public auditability as well as data dynamics. Merkle Hash Tree is also used for improving the level of authentication. The new security model for data blocks security is presented.
A Framework to Categorize Shill and Normal Reviews by Measuring it‟s Linguistic Features

— Shill reviews detection has attracted significant attention from both business and research communities. Shill reviews are increasingly used to influence the reputation of products sold on websites in positive or negative manner. The spammers may create shill reviews which mislead readers to artificially promote or devalue some target products or services. Different methods which work according to linguistic features have been adopted and implemented effectively. Surprisingly, review manipulation was found on reputable e-commerce websites also. This is the reason why linguistic-feature based methods have gained more and more popularity. Lingual features of shill reviews are examined in this study and then a tool has been developed for extracting product features from the text used in the product review under analysis. Fake reviews, fake comments, fake blogs, fake social network postings and deceptive texts are some forms of shill reviews. By extracting linguistic features like informativeness, subjectivity and readability, an attempt is made to find difference between shill and normal reviews. On the basis of these three characteristics, hypotheses are formed and generalized. These hypotheses help to compare shill and normal reviews in analytical terms. Proposed work is for based on polarity of the text (positive or negative), as shill reviewer tend to use a definite polarity based on their intention, positive or negative.
An Effective nearest Keyword Search in Multifaceted Datasets

: Keyword-based inquiry in content rich multi-dimensional datasets encourages numerous novel applications and apparatuses. In this we consider objects that are named with watchwords and are embedded in a vector space. For these datasets, we ponder ask for that request the most impenetrable get-togethers of focuses fulfilling a given strategy of catchphrases. We propose a novel strategy called ProMiSH (Projection and Multi Scale Hashing) that uses discretionary projection and hash-based record structures, and fulfills high flexibility and speedup. We exhibit a correct and a rough form of the calculation. Our trial comes to fruition on honest to goodness and made datasets show that ProMiSH has up to 60 times of speedup over bleeding edge tree-based techniques
Design and Implementation of DMAS and DM Architectures

Communication security is very important in day to day life. The proposed algorithms and architectures operate on Galois Fields GF of the form GF (p) for integers and GF (2 n ) for polynomials. Alternative number representation systems such as Residue Number System for integers and Polynomial Residue Number System for polynomials are employed. , as well as a VLSI architecture of a dual-field residue arithmetic Montgomery multiplier are presented. An analysis of input/output conversions to/from residue representation, along with the proposed residue Montgomery multiplication algorithm, reveals common multiply-accumulate data paths both between the converters and between the two residue representations. A versatile architecture is derived that supports all operations of Montgomery multiplication like input/output conversions, Mixed Radix Conversion for integers and polynomials, in the same hardware. Detailed comparisons with state-of-the-art implementations prove the potential of residue arithmetic exploitation in dual-field modular multiplication.
Comparative Analysis of Unipath and Multipath Reactive Routing Protocols in Mobile Ad hoc Network

The Mobile Ad hoc NETwork (MANET) is a collection of wireless mobile nodes and each of these nodes can be considered as an individual portable devices. Current unipath routing protocols result in performance degradation in mobile networks due to the unreliability of wireless infrastructure and mobility of nodes. Multipath routing protocol is an attractive alternative that distributes the traffic among several good paths instead of routing all the traffic along a single best path for highly error prone and resource depleted network environments. Frequent link failures are common in MANET due to node’s mobility and use of unreliable wireless channels for data transmission. Due to this, multipath routing protocol becomes an important research issue. Among the reactive protocols, AODV is a reactive routing protocol . Ad-hoc On-demand Multipath Distance Vector Routing (AOMDV) protocol is an enhancement part of the AODV protocol for computing multiple loop-free and link disjoint paths. Due to the frequently changing topology, routing in ad-hoc networks can be viewed as a challenging issue.
An Integrated Security Solution for Data Distribution in WSN

: Environment monitoring is achieved using the sensor devices. Sensor device manages the sense, update and transmit operations. Pressure, temperature and humidity information’s are observed by the sensor devices. Energy and bandwidth limitations are considered in the sensor network applications. Sensor network data distribution process is violated by the intruders. Anonymous data packets are inserted by the malicious nodes. Data verification methods are applied to identify the malicious data packets. Base station manages the sensor node data transmission process through the path nodes. Sensor data are verified with the support of provenance verification scheme. Power consumption, bandwidth, storage space and security parameters are considered in the data distribution process. Sensor data responses are validated using the secure provenance verification scheme. Data verification details are encoded with In packet Bloom filters (iBF). Base station handles the provenance verification tasks. Packet drop attacks are also detected by the security scheme. The data distribution process is performed with Provenance collection algorithm. The data verification scheme is improved with continuous malicious node attacks. Node and data verification schemes are integrated in the system. Node level trust verification is performed with distributed trust model. Node properties are used in the node level trust verification process. The sensor data distribution is carried out with authentication, confidentiality and integrity methods.
A Survey on FEC Based Packet Loss Recovery Technique in Networks

— We survey a number of packet loss recovery techniques for many applications which are operated using IP multicast. We begin the discussion with the loss and delay characteristics of an IP multicast channel, and from this we show the need for the packet loss recovery. And these recovery techniques may be divided into two classes: Sender-based and Receiver -based. We compare and contrast several sender-based recovery schemes: forward error correction (both media-specific as well as media-independent), retransmission and interleaving. We conclude with a series of recommendations for repair schemes to be used based on application requirements and network conditions.
Equilibrium Isotherm Study for Removal of Mn (II) from Aqueous Solutions by Using Novel Bioadsorbent Tinospora cordifolia

The removal efficiency of Tinospora cordifolia from manganese containing aqueous solutions was investigated. The effect of adsorbent dosages, pH of solution, initial Mn (II) concentration and contact time was investigated using a batch adsorption technique. The optimum pH for Mn (II) adsorption was found as 4.0 for T. cordifolia. Results were analyzed by the Langmuir and Freundlich isotherm models using linearized correlation coefficient. The characteristic parameters for each isotherm have been determined. The Langmuir model agrees very well with experimental data than the Freundlich isotherm model. According to Langmuir isotherm, the monolayer saturation capacity (Qmax) was 24.69 mg/g at temperature (25±2°C). The FT-IR analysis indicated the involvement of hydroxyl (-OH), aliphatic (-C-H), and carbonyl group (C=O) chelates in metal Original Research Article Sao et al.; AIR, 6(4): 1-11, 2016; Article no.AIR. 23224 2 binding. The biomass was then used for the removal of Mn (II) in synthetic and real wastewater samples from a coal-mine acid industrial wastewater. This study indicated that the biomass of T. cordifolia can be used as an effective and environmental friendly adsorbent for the treatment of Mn (II) containing aqueous solutions.
Automated image segmentation and registration of vessel wall MRI for quantitative assessment of carotid artery vessel wall dimensions and plaque composition

The main goal of this thesis was to develop methods for automated segmentation, registration and classification of the carotid artery vessel wall and plaque components using multi-sequence MR vessel wall images to assess atherosclerosis. First, a general introduction into atherosclerosis and different stages of the disease were described including the importance to differentiate between stable and vulnerable plaques. Several non-invasive imaging techniques were discussed and the advantages of multi-sequence MRI were highlighted. Different novel automated image segmentation and registration techniques for analysis of the MRI images have been developed. A 3D vessel model to automatically segment the vessel wall was presented. Automated image registration was applied to correct for patient movement during the acquisition of an MRI scan and between MRI scans. The last topic is the automatic classification of the different plaque components which can be present inside the vessel wall. All techniques were developed and validated using relevant patient data and reference standards. The work presented is an important contribution to the automated analysis of multi-sequence MR vessel wall imaging of the carotid artery. These techniques can speed up the current manual analysis and are potentially more accurate and more reproducible.
Effect of Fiber Loading and Alkali Treatment on Rice Straw Fiber Reinforced Composite for Automotive Bumper Beam Application

Natural fiber-reinforced composites (NFC) comprise the principal subject for the wide-ranging research in the material industries with lower costs. The use of rice straw as the reinforcement material for polymer composites intended for car bumper application is reported. This study was aimed to evaluate the composite mechanical properties of tensile and impact strength, as well as the microscopic structures, under the alkali treatment of NaOH and 10, 20, 30 and 40% (v/v) fiber loading variations. The results showed that the mechanical properties of alkali-treated composites were improved relative to the untreated fiber-reinforced composites. The highest tensile strength was observed at 14.75 MPa together with the highest impact strength at 23.52 J cm -1 for the alkali-treated and 30% fiber loading composites. This makes the rice straw fiber-reinforced composites at 30% fiber loading competitive against the standard commercial bumper with a maximum tensile strength of 8.08 MPa and impact strength of 23.31 J cm-1. The precise claim of alkali conduct with sodium hydroxide indicates the improvement of tensile and impact strength of the RSF-reinforced composites. This study also shows fiber loading provides various mechanical properties of the composites. The rice straw fiber, at 30% fiber loading attached with the alkali treatment comprises an alternative material to reinforce a polymer composite for automotive bumper application with a viable tensile and effect strong point against a marketable bumper.
PHYTOCHEMICAL SCREENING AND ASSESSMENT OF ANTIOXIDANT, ANTIBACTERIAL AND CYTOTOXICITY ACTIVITIES OF FIVE TUNISIAN MEDICINAL PLANTS

The present study was carried out to investigate the phytochemical compositions, antioxidant and antibacterial activities, and the cytotoxicity of aqueous and methanolic crude extracts of five wild medicinal plants from the south of Tunisia. The phytochemical screening was quantified by calorimetric techniques in terms of the total contents of phenolic compounds and total condensed tannin content. The results showed that the methanolic extracts of Thymelaea hirsuta L (44. 23 ± 1.96 mg GAE/g DW) possessed the highest total phenolic content and the total condensed tannins. The antioxidant activity was assessed in vitro by using both the scavenging activity of DPPH radical and phosphomolybdenum total antioxidant assay. The findings showed that the methanolic extract of Thymelaea hirsuta L, and the aqueous extract of Artemesia campestris L showed the strongest radical scavenging activity by the DPPH assay (IC50 values = 1.74 ± 0.12 μg/mL and 0.77 ± 0.18 μg/mL, respectively) compared to the standard, ascorbic acid and BHT. The height antioxidant capacity by the formation of phosphomolybdenum complex was obtained for the methanolic extracts of T. hirsute and A. campestris (57.54± 0.46 mg AAE /g and 55.75± 3.76 mg AAE /g). Furthermore, the extracts were evaluated for its antibacterial activity using the disc agar diffusion. The results have demonstrated that the methanolic extracts of Thymelaea hirsuta L and Artemesia campestris L were most effective against the selected bacteria. The cytotoxicity was analyzed by examining haemolytic activity against chicken erythrocytes, the results clarified that only the methanolic extract of Cleome arabica L was able to generate haemolytic activity with 30.45 ± 0.63 %.
A POWERFUL AUTOMATED IMAGE INDEXING AND RETRIEVAL TOOL FOR SOCIAL MEDIA Sample

- The Internet image retrieval is an interesting task that needs efforts from image processing and relationship structure analysis. In this paper, has been proposed compressed method when you need to send more than a photo via the internet based on image retrieval. First, face detection is implemented based on local binary patterns. The background is notice based on matching global self-similarities and compared it with the rest of the image backgrounds. The propose algorithm are link the gap between the present image indexing technology, developed in the pixel domain