Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF DIFFERENT PACKING MATERIALS AND STORAGE CONDITIONS ON THE VIABILITY OF WHEAT SEED

The present research was carried out to investigate the effect of different packing materials (metal bin, earthen bin, plastic bag, cloth bag and gunny bag) and grain moisture content at packing (10% and 16%) on viability of wheat seed for ten months of storage in the laboratory of Farm Structures, Sindh Agriculture University, Tandojam, Pakistan, during the year 201011. Temperature, moisture content and germination capacity were recorded throughout the storage period. When the gunny, cloth and plastic bags were used as the packing material, the moisture content and germination capacity were decreased and the seed temperature was increased with the increase of storage period despite the moisture content (10% and 16%) of wheat seed at packing. When seed was packed in metal and earthen bins the reduction in viability of seed with time of storage varied with the moisture content of seed at packing. Wheat seed stored in metal and earthen bins with initial moisture content of 10% showed satisfactory temperature, moisture content and germination capacity throughout the storage period than those packed with 16% moisture. Wheat seed stored in gunny, cloth and plastic bags were in good terms with temperature, moisture content and germination capacity in comparison with those in metal and earthen bins.
Identification of Cotton Leaf Diseases Using Raspberry Pi: A Review

Identification of diseases on plant is the very important research topic in agriculture field. It is required for effective monitoring and controlling large fields of crops. Plant disease detection using image processing that can recognize infections in crops from its images parameters like colour, texture and shape. Digital image processing is a key technique which is used to extract the features from image of infected plant. Finally image features compare and result is available. The design and implementation of this automatic system will provide much information in selective chemical application, reducing costs and thus leading to increase in productivity as well as quality of product.
Int. J. Biosci

Callus induction and shoot formation from hypocotyls and cotyledons of G. abyssinica has been achieved in this experiment. Six to eight-day-old hypocotyl segments and cotyledons were cultured on MS medium containing different concentrations of NAA, IAA and BAP. Among the various concentrations tested, 0.5 mg/l NAA in combination with 1 mg/l BAP was found to be the best for maximum callus induction of hypocotyl explants. Furthermore, 2 mg/l IAA in combination with 1 mg/l BAP was the best for callus induction of cotyledonary explants. The frequency of callus induction was influenced by the concentrations and types of growth regulators. Highest percentage of shoot formation was obtained when cotyledons were cultured on medium supplemented with 3.0 mg/l IAA in combination with 1.0 mg/ l BAP. Maximum number of shoots per explant (20.3) was obtained from medium containing 0.1 mg/l NAA in combination with 1 mg/l BAP. The types of explant, growth regulator combinations and genotypes were showed significant effect on shoot regeneration. The elongated shoots were successfully rooted on media supplemented with IBA at a concentration of 0.5 mg/l. The shoots were established in soil where 65% of them survived. Morphologically aberrant plants were not observed. As plant regeneration protocol is a prerequisite for genetic transformations, this protocol can be used for such purposes and development of new varieties with desired traits by in vitro selection. *Corresponding Author: Tesfaye Disasa  tesfayedisasa@yahoo.com International Journal of Biosciences (IJB) ISSN: 2220-6655 (Print) 2222-5234 (Online) Vol. 1, No. 6, p. 110-118, 2011 http://www.innspub. net
Clinicopathological study of neoplastic and non-neoplastic lesions of prostate- two years study

Introduction: Among the cancer related deaths in men, prostatic cancer is the second most common to lung cancer. Important cause for prostatic morbidity and mortality includes inflammation, benign nodular enlargement and tumors. Histopathological diagnosis and grading plays a definitive role in the management of prostatic cancer. The current study aims at analyzing clinicopathological features of various neoplastic and non-neoplastic lesions of the prostate. Materials and Method: The present study included 158 prostatic specimens, which comprises of 157 TURP chips, and 1 prostatectomy specimen. The results were grouped into non-neoplastic and neoplastic lesions. The cases of prostatic adenocarcinoma were graded using Gleason microscopic grading. Results: Out of 158 prostatic specimens studied; 145 were benign lesions, 4 were premalignant and 9 were malignant lesions. Among benign lesions nodular hyperplasia without prostatitis was the most common. The cancer detection rate with prostatic volume < 40 ml was higher than with >40 ml. Most malignant prostatic lesions showed marked elevation in serum PSA levels (>20 ng/ml). Among the malignant lesions, commonest lesion was prostatic adenocarcinoma. Discussion: Since low-grade lesions are usually asymptomatic, awareness of serum PSA level estimation, digital rectal examination should be done among elderly males who are prone for malignancy. Male individuals with a positive family history for prostatic carcinoma must undergo relevant screening test.
A new tool for inhalers’ use and adherence monitoring: the Amiko® validation trial

The lack of adherence to treatment and misuse of inhaled medication are hot topics in asthma and COPD management. Novel electronic monitoring devices are regarded as promising in assessing medication use. The aim of this study was the experimental performance evaluation of an electronic monitoring device (Amiko ® ) on Ellipta® (GlaxoSmithKline), Spiromax® (Teva Pharmaceutical Industries), and NEXThaler® (Chiesi Farmaceutici). Amiko® introduces a clinically negligible inspiratory flow resistance when added to the tested DPI. It was able to detect the performed inhalation in more than 99% of cases providing also an estimate of the patient’s inspiratory effort with a limited gap across the different devices. All the loading manoeuvres were recorded correctly for each DPI, independently of the orientation of the device, resulting in an accuracy of 100.0%. Similarly, the tool was able to detect the device orientation during the performed inhalation with a mean absolute error inferior than 3.53° for the three DPIs. All the above reported results suggest that Amiko® technology will allow to identify, store and communicate relevant data for adherence improvement and misuse correction. Usability test, efficacy and effectiveness in improving respiratory disease management, need to be explored in clinical research setting and in real life. Keywords— inhaled device, loading, recording, orientation, inspiratory effort.
An Operative Algorithm for K -Means Clustering With New Initial Centroids

— Organising data into sensible groups is the most fundamental way of understanding and learning. Clustering helps to organise data based on natural grouping without any category labels to identify the clusters. One of the most popular and simplest partitional clustering algorithms is the K-Means published in 1955. K-Means algorithm is computationally expensive and the final clusters depend entirely on the initial selection of centroids. This method also insists the selection of number of clusters initially. Several modifications have been proposed for the K-Means clustering method. Some such proposals are summarised and reviewed. A new method is proposed considering both the standard deviation and mean of the attributes of the dataset .
A SURVEY OF ENTITY IDENTIFICATION AND CLUSTERING USING TEXT PROCESSING FROM NEWSPAPER

Newspaper industries are considered as the main path to face the audiences’ expectations. It covers a huge range of applications in different fields such as business, politics, art and sport, which focuses on the following structures, opinion columns, reviews of local services, crosswords, obituaries, birth notices, weather forecasts, comic strips, editorial cartoons
HUMAN ACTION RECOGNITION BASED ON ENHANCED DYNAMIC TIME WARPING

Applications of Human Action recognition (HAR) has started to foray into Gaming, Human computer interaction and surveillance. These new applications require newer and quicker methods that resolves user actions at near real-time speeds. This paper proposes an Enhanced Dynamic Time Warping (EDTW) based approach that recognize human action in a given video in two phases. For this, a kinematic model of the actor is constructed and key poses are found using a suitable clustering method. When a new video dataset arrives, key poses are extracted from it. In first phase of EDTW the similarity of poses from new input are compared with other actions in the repository. In the second phase the measures are processed for confidence and the final classification is done, giving an action label as output.
Comparison of PCR and SD Bioline malaria Antigen test for the detection of malaria in Hadramout Governorate

This investigation was conducted to compare the performance of nested PCR and SD Bioline malaria Antigen test with light microscopy test as a mean of detecting Plasmodium parasites during active malaria surveillance in Almukalla Hadramout in Yemen. The study was performed during period from years 2009-2010 in the Almukalla malaria centre. Plasmodium vivax (PV) and Plasmodium falciparum (PF) are the predominant parasite species in this village, followed by Plasmodium malariae (PM) and Plasmodium ovale (PO), venously blood samples were taken from each participating individual and used to prepare microscopic slides, SD Bioline malaria Antigen test and for PCR analysis. Obtained results revealed that PCR was sensitive (100%) and specific (92%) for malaria at low parasite densities; 54% (27/50) of P. falciparumand 0% (0/50) of P. vivax. All positive cases detected by PCR were detected positive by microscopic examination except two cases which found to be negative microscopically. However, SD Bioline malaria Antigen test was sensitive (56%) and specific (96%), only 10% (5/50) for P. falciparum, 10% (5/50) for P. vivax, and also (10%) (5/50) for mixed infection at low parasitic densities. Conclusion: PCR appears to be a useful method for detecting Plasmodium parasites during active malaria surveillance in Yemen. SD Bioline malaria Antigen test appear as a poor test for detecting malaria parasites at low parasitic densities in spite of having the ability to differentiate between the species of malaria. [Albadr, A; Almatary, A.M; Eldeek, H.E and Alsakaf. A. Comparison of PCR and SD Bioline malaria Antigen test for the detection of malaria in Hadramout Governorate. Journal of American Science 2011;7(9):772-778]. (ISSN: 1545-1003). http://www.americanscience. org. #99
HERBAL BASED SILVER NANOPARTICLE EFFECTS ON DIABETIC WOUND INFECTION CAUSING MICROORGANISMS

S Metallic nanoparticles are traditionally synthesized by wet chemical synthesis techniques where the chemicals used are quite often toxic and flammable. The present study deals with cost effective and environment friendly given synthesis from 1mM AgNo3 solution through the leaf extract of M.emarginata, as reducing as well as capping agent. Nanoparticles were characterized using UV-Vis spectrophotometry, Scanning Electron Microscopy (SEM) and X-Ray diffraction (XRD) were performed. Green synthesized silver nanoparticles showed the antibacterial activity against the diabetic wound infection causing microorganisms.
“Primary Grynfeltt's-lumbar hernia”-a rare case

Introduction: Primary lumbar hernias although are rare hernias but causes of lumbar hernia may be classified as congenital or acquired, primary or secondary. Lumbar hernias are very uncommon among abdominal wall hernias and very few cases have been reported in the literature. Presentation of case: An old male patient aged about fifty years presented in surgical OPD with complaints of a swelling in left flank region which used to increase in size after standing or physical activities. He was examined thoroughly and it was found to be a reducible hernia on left lumbar region. Patient was advised needful investigations like Ultrasound and CT scan and a diagnosis of primary lumbar hernia was established. This hernia was approached through laparoscopic transabdominal extra peritoneal repair and patient had uneventful post-operative period. Discussion: There are various techniques described in literature about the repair methodologies of lumbar hernia but the minimally invasive techniques are supposed to be far superior in many aspects as compared to open surgical repairs. Conclusion: For primary spontaneous lumbar hernias minimally invasive techniques are preferred over open surgical techniques due to their obvious advantages.
Flexible Rollback Recovery in Grid Using Time Based Checkpoint

— When a process fails in a node present in a grid network, it is recovered by rolling back to the previous state making use of checkpoints. To avoid unnecessary large rollbacks, the checkpoint frequency can be increased. Increase in checkpoint frequency however creates a memory overhead in the network. This paper proposes a new checking pointing approach called time based check points along with communication induced checkpoints. Time based checkpoints considerably reduce the wastage of memory and communication induced checkpoints avoid Domino’s effect in the network caused by inter node communication. Therefore, these two approaches would provide a fault tolerance system and increase the efficiency of the grid environment.
Emotion Speech Recognition using MFCC and SVM

Recognizing basic emotion through speech is the process of recognizing the intellectual state. Emotion identification through speech is an area which increasingly attracting attention within the engineers in the field of pattern recognition. Emotions play an extremely important role in human life. It is important medium of expressing humans viewpoint or feelings and his or hers mental state to others. Humans have natural ability to recognize emotions through speech information. Emotional computing has gained enormous research interest in the development of Human Computer Interaction over the past ten years. With the increasing power of emotion recognition, an logical computer system can provide a more friendly and effective way to communicate with users in areas such as video surveillance, interactive entertainment, intelligent automobile system and medical diagnosis. Here our approach is to classify emotions using Mel Frequency Cepstral Coefficients features and Support Vector Machine classifiers. Recognition accuracy for these feature is considered as it mimics the human ear perception. So emotion recognition using these features are illustrated. Keywords—Emotion Recognition,MFCC(MelFrequency Cepstrum Coefficients),Pre processing,Feature extraction,SVM(Support Vector Machine)
An improved wrapper-based feature selection for efficient opinion mining

Opinion mining analyses people’s opinions, evaluations, sentiments, attitudes, appraisals and emotions to entities like products, organizations, services, issues, individuals, topics, events and their attributes. It is a large problem space having high feature dimensionality. Feature extraction is important in opinion mining as customers do not usually express product opinions totally, but separately based on individual features. Two tasks should be accomplished in feature-based opinion mining. First, product features on which reviewers expressed opinions must be identified and extracted. Second, opinion orientation or polarities must be determined. Finally, opinion mining summarizes extracted features and opinions. In this work a novel wrapper based feature selection mechanism using concept based feature expansion is proposed. The wrapper based technique uses the principles of evolutionary algorithms
Mobile Robot Path Planning in Static Environment using Modified A* (MA*) Algorithm

— Path planning is one of the most important issues in mobile robots since it determines the intelligence of robots. It is about finding the shortest, collision free and smooth path form predefined start point to fixed target point with the presence of obstacles either static or dynamic. In this paper, we present a new approach of artificial intelligence for mobile robot. The proposed approach for robot path planning is doing some enhancement in A* algorithm in order to reduce the total path planning time and ensuring that the robot will reach the target successfully. The paths founded by this method are slightly sub-optimal, and we get better time performance result approximately 50% to 60% less time. Series of experimental comparison result with A* path planning approach are included in this paper to show the effectiveness and efficiency of our proposed method. This path planning approach can also be applied to computer games.
The Effect of Mechanical Vibration on the velocity of Orthodontic tooth Movement

Aims: The present study designed to evaluate effect of mechanical vibration on the rate of orthodontic tooth movement. Material and method: This study used 14 male albino rabbit. The animals were randomly divided into two groups containing of 7 rabbits each. Group I was the control group and group II served as mechanical vibration group. In both groups, an orthodontic open coil spring with two bands placed on the lower central incisors to deliver 60 g force for orthodontic tooth movement. In the II group, the distal mechanical vibration with Hummingbird (Oral B, USA) was applied to lower right mandibular incisor nine times(three times a week) for ten minute over 22 days and tooth movement were measured indirectly from digital radiograph using planmeca Dimaxis Pro X-ray machin with dimaxis classic imaging software at nine time points in addition to measuring at scarifying time . Results: although the amount of tooth movement at incisal and cervical region was greater in the vibration group when compared with the control group on all days but the only significant differences were shown in the amount of tooth movement at incisal edge on 10 th ,19 th and 22 nd days.no significant differences between right and left side in the control group ,while in the vibration group the vibrated side had increased OTM when compared to its contra-lateral non-vibrated on all days except on 1 st , 12 th and 14 th days . Conclusions: Vibration in orthodontics is a new field and shows mechanical vibration can accelerate orthodontic tooth movement.
A Genetic Algorithm Based Pattern Matcher

— Pattern matching is the method of searching a pattern in a text. There are several existing algorithms which successfully locate the presence of a pattern in a text. In particular, Bioinfomaticians often search for a Deoxy-Ribo Nucleic Acid (DNA) pattern in a very long DNA sequence. These algorithms search the entire text in order to locate the pattern. Genetic algorithms, on the other hand, deal with search procedures that are based on natural selection. Nature selects those individuals that are, in comparison, healthier than others in a certain generation. Even though this method of natural selection relies on probability, the final result of the selection has generally led to better and healthier individuals. In this paper we have presented a scheme, which searches only certain portions of the text, determined by the genetic algorithm, where the probability of finding the pattern is the maximum.
The effect of porcelain veneering on marginal fitness of zirconia copings compared to full contour zirconia crown using three different CAD/CAM systems (An In vitro study)

This study aimed to determine the effect of veneering porcelain on the marginal fit of the zirconia-based crown designed and milled by three CAD/CAM systems. An ideal prepared dentoform model of a single posterior full-crown preparation with chamfer finish line design was used as a master die. The model was duplicated 48 mes and poured in type IV dental stone for the fabrica on of working dies that randomly divided into three major groups (A, B and C) (n=16) according to the CAD/CAM system being used. Each group further subdivided into two subgroups (n=8) full-contoured and traditionally veneered zirconia crowns. The working stone models were scanned, designed and milled with CAD/CAM system. Marginal gaps were evaluated on the master model in relation to four defined points on each aspect (Buccal, Mesial, Lingual and Distal). Using the direct view technique with the aid of Stereomicroscope at a magnification of (140X) and (image J). The measurement was done once for each full contoured sample and twice for the coping; before and after veneering. The data were statistically analyzed, using One-way ANOVA and LSD tests which revealed highly significant differences (p<0.001) among groups. Student t-tests revealed that the veneered zirconia crowns produced significantly greater marginal gap compared to that of both copings and full contoured crowns for each system correspondingly. The addition of veneering porcelain increases the vertical marginal discrepancy. The zirconia crowns that milled to full anatomy have better marginal fit than the traditionally veneered crowns. Sirona system showed the best marginal fit than the others. All systems have an acceptable marginal fit clinically.
Testing of Various Embedded System with Artificial Intelligence Approach

— Testing of Embedded System is a great challenge for software testers. Testing of embedded systems is most sophisticated and time consuming task because of its different infrastructure, organizations and techniques used for its development. Testing of application specific Embedded System is not similar to testing of another Embedded System. This paper gives a new artificial intelligent approach for testing of various Embedded Systems. It focuses on three different aspects. First is the efficient use of an Artificial Intelligence approach to test the Embedded System. Second is the development of one universal platform for testing. Third is development of safety critical character generator device. Safety critical characteristics are being monitored, tested and analyzed with an Artificial Intelligence Approach. An Artificial Intelligence approach uses Artificial Neural Network to train the neural network. Multiple embedded systems are successfully tested together in real time environment using the above approach.
SUPPLY CHAIN PERFORMANCE EVALUATION IN THE IT INDUSTRY

The appraisal of several performance measure agendas and metrics already accessible proposes that supply chain performance measure can be detected under different categories such as cost and non-cost; strategic and operational level; financial and business process perspective; customer, financial, internal operation, learning and growth perspective. Lack of appropriate knowledge in supply chain management that touches project success can lead to increased cost and delays. Hiring supply chain management in IT industry, with respect to their huge size and large investments, may help to elevate use of resources and implementation time. For this purpose, supply chain management may be used to evaluate chain performance, set future performance goals, and draw appropriate path for project success. This requires a comprehensive means and measures to assess different aspects of supply chain and make systematic evaluation possible. In this study, we have developed supply chain of IT industry based on BSC from existing decision making models. Then, industrial projects performance and performance evaluation measures have been determined using a designed questionnaire. Finally, project performance evaluation measures are proposed based on lean thinking principles and ranked using Expert Choice software.