Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of age on quality of semen parameters

Background: Increased life expectancy, advanced age of marriage, various socio-economic factors and an overall change in role of women in society has led couples to start their family at a later age. Higher maternal and paternal age raises the question of fertility maintenance during the ageing process. Aim of the work: to determine the relatioship between male age and semen quality (semen volume, concentration, motility, and morphology) in healthy men. Patients and methods: This is a cross sectional comparative study that was carried out on a convenience sample of 452 apparently healthy male volunteers. Those volunteers were selected from (Kanater men's prison) in Cairo during the period from June 2016 to March 2017. They aged 20 – 60 years with no history of infertility or reproductive problems. All were submitted to full history taking, clinical examination with stress on genital examination and semen analysis. Semen parameters were evaluated following WHO standard criteria. Volunteers were grouped according to age into four groups as follow; 20-29, 30-39, 40-49 and ≥ 50 years. Results: Semen quality varied as regard age groups; It was found that the highest mean of seminal volume 3.01(+0.8 SD) ml was recorded among men of age group 20-29 years and the lowest was among men of age group ≥ 50 years with mean 1.6 (+0.9 SD) ml. As regard sperm concentration it was highest among those of age group 20-29 years with mean 92(+24 SD) million/ml and the lowest was among men of age group ≥ 50 years with mean 79.8(+13 SD) million/ml. Men of age group 20-29 years have the highest mean of total sperm count, progressive motility, non-progressive motility, total motility count and normal sperm morphology:281.6 (+114.5 SD) million,33.3(+6.8 SD) %, 17.9(+4.5 SD) %, 145 (+67.6 SD) million and 32.7 (+3.4 SD) % respectively, Followed by those of age group 30-39 years and age group 40-49 years. While the lowest mean of these parameters were recorded among those of age group ≥ 50 years, they were as follows; 129 (+42.5 SD) million, 17.7(+8.1 SD) %, 10.8(+4 SD) %, 38.8 (+21 SD) million and 6.8 (+2.1 SD) % respectively. All these differences were statistically significant. p.<0.05. There was significant negative correlation between age and semen volume, sperm concentration, total sperm count, progressive motility, non-progressive motility, total motility count and normal sperm morphology, while, positive correlation was found between age and immotility. Conclusion: significant agerelated decreases in semen quality were observed, most notably for semen volume and sperm motility. Because semen quality is a proxy for fertility, these data suggest that men may become progressively less fertile as they growth older. [Yahya Mohamed Hodeeb; Ahmed Rashad Elshahed; Heba Mohamed Abd El Galil; Nabil Fathy Ismail; Tamer Noamani Abd Al-fatah. Effect of age on quality of semen parameters Relation between Perineal body Length and Lacerations at delivery. Nat Sci 2017;15(7):61-66]. ISSN 1545-0740 (print); ISSN 2375-7167 (online). http://www.sciencepub. net/nature. 8. doi:10.7537/marsnsj150717.08.
FPGA Implementation of Network-on-Chip Router Architecture for Multicore-SoC Communication Paradigm

— In the deep submicron era, the downscaling of silicon technology and the possibility of building multiprocessor System-on-Chip (MPSoCs) makes intrachip communication, a key challenge in the gigascale chip designing process. Performance and power of gigascale System-on-Chip(SoC) is mainly communication dominated. SoC communication architectures start facing scalability as well as modularity limitations and more advanced bus specifications are emerging to deal with these issues at the expense of silicon area and complexity. To overcome the scalability limitations, Network-on-Chip paradigm is currently viewed as a innovative approach to provide a high performance, scalable and robust infrastructure for on-chip communication. This paper presents a Network-on-Chip router architecture for intrachip communication of SoC architectures. The router is designed using VHDL language and implemented on Virtex6 FPGA with the help of Integrated Software Environment ISE 14.5. The simulation and synthesis results are also presented.
Enhancement of Cruise Control System by Improving Transient Response of Motor Controller using Non-Linear Optimization Techniques

In this study, for the enhancement of cruise control, various DC motor controller have been simulated for improved transient response. Four controllers: lead-lag compensator, Ziegler Nichols sustained oscillation method, conventional Proportional-IntegralDerivative (PID) and Fuzzy logic controller were designed and simulated in order to analyze the performance. Among them, Fuzzy logic algorithm for tuning PID controller exhibits better transient response for DC motor actuator installed in cruise control system.
Mix Hidden Markov Model Based Part-of-Speech Tagging for Urdu in Limited Resource Scenario

—In this paper we depict a Mixture Hidden Markov Model (HMM) based stochastic algorithm for Part of speech (POS) tagging. HMM is the most successfully used simple language model (n-gram) for POS tagging that uses diminutive amount of knowledge about the language, apart from simple contextual information[1]. In view of the fact that only a small annotated training data is available for Urdu POS tagging, a simple HMM based approach does not give up very good domino effect. Along with HMM we use Morphological analyser (MA) [2] and Stemmer [3] to improve the performance of tagger. Further, we use the semi-supervised learning technique by augmenting the small annotated training data set with a larger unannotated data set to improve the outcome of the tagger in limited resource scenario. We implemented the tagger on both bigram (first order) and trigram HMM (second order) model. Thus we shall call these proposed models as first order supervised Hidden Markov Model (HMM-S1), first order semi-supervised Hidden Markov Model (HMM-SS1), second order supervised Hidden Markov Model (HMM-S2), second order semi supervised Hidden Markov Model (HMM-SS2), HMM-S1+Suf, HMM-S1+MA, HMM-SS1+Suf, HMM-SS1+MA, HMM-S2+Suf, HMM-S2+MA, HMM-SS2+Suf, HMM-SS2+MA, finally we combined both MA and Stemmer to obtain higher accuracy, hence the new models are called as HMM-S1+MA+Suf, HMM-SS1+MA+Suf, HMM-S2+MA+Suf, HMM-SS2+MA+Suf. Totally we have 16 extended HMM that are implemented and tested by different data sets and results are analysed.
Spectrum Efficiency for Rate-Adaptive MIMO OSFBC-OFDM Systems over Various Adaptation Policies

-In this paper, closed-form expressions for capacities per unit bandwidth for multiuser MIMO-OFDM systems employing Orthogonal Space-Frequency Block Coding (OSFBC) over multipath frequency-selective fading channels are derived for optimal power adaptation, optimal rate adaptation with constant transmit power, channel inversion with fixed rate, and truncated channel inversion adaptation polices. A Signal to Noise Ratio (SNR) based user selection scheme is considered. Closed-form expressions are derived for OSFBC-OFDM system. Optimal power adaptation policy provides the highest capacity over the other adaptation policies. Capacity gains are more prominent for optimal rate adaptation with constant transmit power policy as compared to other adaptation policies.
Prediction of Academic Performance based on Child-Raising Styles and Social Growth in Teenagers aged 12-18 who are addicted to Internet in Rasht City

The present research aims to investigate academic performance by child-raising styles and social growth in teenagers aged 12-18 who are addicted to internet in Rasht City. Research methodology was descriptive correlation. The statistical population of the research included all teenagers aged 12-18 in grades 2 and 3 in high schools of Rasht City who were addicted to internet. 504 students received internet addiction test and 200 addicted students were identified and were selected by means of stratified cluster sampling method. Young's internet addiction questionnaire (1998), Bamrind's child-raising styles questionnaire (1973) and Whitesman's social growth questionnaire (1990) were used for data collection. The results of the research showed that childraising styles and social growth can predict academic performance of teenagers (p<0.01). considering the role of child-raising styles and social growth in academic performance of addicted individuals, we recommend that some appropriate measures should be taken for individuals who are at risk.
Outcomes after Surgically-Treated Ankle Fractures with or without Surgical Fixation of Posterior Malleolar Fracture

Background: Ankle fractures are highly variable, as is their management. Surgeons generally perform reduction and internal fixation of the posterior malleolar fragment if the fracture involves more than 25% of the joint surface. This study examines the functional and radiographic outcomes in patients with operatively managed ankle fractures involving the posterior malleolus by comparing internal fixation to no fixation of the posterior malleolus. Methods: This is a retrospective cohort study of adults with surgically-treated ankle fractures, all of whom had posterior malleolar fractures (PMF) managed with or without internal fixation (IF) from November 2012 through May 2015. We retrieved demographic, injury, and Short Musculoskeletal Functional Assessment (SMFA) information. Pre and postoperative x-rays were measured for articular displacement and posterior malleolar fragment size. Results: Of 147 adults who met criteria for PMF, 63 received IF, and 84 did not. Mean age was 46.1, 53.7% were female. Adults treated with IF had larger PMF fragments (mean 9.7 vs. 5.6 mm) and greater displacement (mean 9.3 vs. 2.7 mm) than adults without PMF IF. Mean SMFA score at 6 months did not differ between groups (52.0-14.6 IF vs. 51.0-11.4 without fixation, N = 41, 28% of sample). Conclusions: Adults with larger, displaced PMF fragments were treated with internal fixation. Functional 6-month SMFA outcomes were comparable in this underpowered study; a Type II error is possible. This study provides precursory information toward a multicenter, randomized controlled trial of adult ankle fractures to evaluate the comparative effectiveness of internal fixation versus no fixation of PMF. Level of evidence: Level III
A NOVEL HYBRID RENEWABLE RESOURCES CONSTRUCTED WITH MULTILEVEL INVERTER USING SVM TECHNIQUE

The proposed system presents power-control strategies of a grid-connected hybrid generation system with versatile power transfer. This hybrid system allows maximum utilization of freely available renewable energy sources like wind, fuel and photovoltaic energies. For this, an adaptive MPPT algorithm along with standard perturbs and observes method will be used for the system. The objective of this paper is to study a novel Multi level multistring inverter topology for DERs based DC/AC conversion system. In this study, a high step-up converter is introduced as a front-end stage to improve the conversion efficiency of conventional boost converters and to stabilize the output DC voltage of various DERs such as PV, Wind and fuel cell modules for use with the simplified newly constructed multilevel inverter. The proposed multilevel inverter requires only nine active switches instead of the twelve required in the conventional cascaded Hbridge (CCHB) multilevel inverter, control with SVM technique. The inverter converts the DC output from non-conventional energy into useful AC power for the connected load. This hybrid system operates under normal conditions which include conventional and proposed cases of solar energy, fuel and wind energy. The proposed simulation results are presented to illustrate the operating principle, feasibility and reliability of this proposed system for Renewable resources. Index Terms : DC/AC Power Conversion, Multilevel Inverter.
Comparative analysis of classifiers for header based emails classification using supervised learning

- Emails are used as primary communication tool in business. They are preferred as fast means of communication. In the business domain, they facilitate information-gathering and communication function. The volume of emails receiving into an inbox varies from tens for regular users to tens of thousands for an enterprise. Inbox may consist of some unwanted emails, called spam emails. This results into unnecessary consumption of both band width and inbox space. It is important to classify unsolicited emails receiving in the inbox, so that they can be filtered out at the right stage. This paper compares the various existing techniques for spam classification using email header fields. Paper also presents a discussion on challenges for spam filtering.
Insider Attack Detection System (IADS) in MANETs

: The migrating towards wireless network from wired network has become latest popular global trend in past few decades. The versatile properties of wireless networks created it possible in countless applications. Involving all of the contemporary wireless networks, Mobile Adhoc NETwork (MANET) provides essential and unique applications. Because of its awesome abilities like mobility, scalability and self configuration, the MANET has been wide spread in many applications like military, rescue operations, some tactical conditions and the like. The intrinsic nature of Adhoc networks makes them vulnerable to various passive and active attacks and thus it is vital to build an efficient intrusion detection mechanism to protect MANET from attacks. Prevention methods for attacks alone are not sufficient to make them secure. So, Intruders have to be detected at the early stages of data transmission. To acquire security we are proposing A Novel Intrusion detection system (NIDS) named Enhanced Adaptive ACKnowledgement (EAACK) is introduced for Insider Attackers (IA) in MANETs by using normal end to end ACK scheme, Secure ACK (S-ACK) and Misbehavior report Authentication (MRA) scheme. The proposed system eliminates the existing system weaknesses like Receiver Collision, Limited Transmission power and false misbehavior report. EAACK yields better results compared to all modern techniques for misbehavior detection by reducing the routing overhead and by increasing the network performance. The three parts of EAACK (ACK, SACK and MRA) are acknowledgement based detection systems. To detect the misbehaviors in the network, the three schemes rely on ack packets. All ack packets are authentic and untainted. Otherwise the attackers forge the ack packets. So, we include Digital Signature in EAACK to ensure the integrity of Intrusion Detection system.
An Improved Technique of CBIR using Gabor Filter and Genetic Algorithm

— Content Based Image Retrieval (CBIR) system attains interest in image processing domain from past years due to its optimized applications. In order to retrieve images efficiently from a large database, an improved approach of integrating color and texture features using Gabor filter and genetic algorithm has been proposed. In this paper the image data is pre-processed and then we extract Gabor and shape based features. Genetic Algorithm has been used to investigate to refine the results such that, they are similar to query image features given by users. The implemented results shows that the proposed method gives higher retrieval accuracy compared to the traditional methods of image retrieval that use color, texture and shape features only for retrieving images.
Explanation of the Relationship between Creativity and Knowledge Management with Organizational Entrepreneurship in the Education from Principals Point of View. J. Life Sci. Biomed. 3(1):40-51.;

The aim of this study is to explain the relationship between creativity and knowledge management with organizational entrepreneurship in education. The statistical population was the total managers of the high schools in Hormozgan province in academic year of 2012 -2013. Among this population 160 persons were selected randomly according to Kergesi and Morgan formula in order to do the study. This investigation was operated in a descriptive and correlative method and in order to collect the data 3 questionnaires of and knowledge management and entrepreneurship, whose Reliability and Validity were confirmed, were provided. For the aim of data analysis, the statistical methods of Pearson correlation coefficient and multiple regression coefficients were used. The results show that there is a significant relationship between the knowledge management with organizational entrepreneurship. Among the different components, only the component of knowledge usage was able to predict the organizational entrepreneurship. Also there is a significant relationship between the creativity with organizational entrepreneurship. And among its components, 3 components of expansion, invention and flexibility were able to predict the organizational entrepreneurship.
PREDICTION OF SPAM APP PUBLISHERS IN MOBILE AD NETWORKS

Smart phone Apps plays a vital role to attract mobile-Advertising. Popular apps can generate millions of dollars in profit and collect valuable personal user information. Spam, i.e., fraudulent or invalid tap or click on online ads, where the user has no actual interest in the advertiser’s site, results in advertising revenue being misappropriated by spammers. It requires a user touch or click on control ads came from Smartphone-game Apps. It all need the user to tap the screen close to where the ad is displayed . While ad networks take active measures to block click-spam today, but not in mobile advertising. The presence of spam in mobile advertising is largely unknown. In this paper, we take the first systematic look at spam in mobile advertising. Then we design a Graph based label propagation algorithm on click-through data to identify spam Apps in Smartphone-game Apps. We validate our methodology using data from major ad networks. Our findings highlight the severity of the spam in mobile advertising.
Extraction of Pectin from Orange Peel’s and Its Applications: Review

Orange peels are a major commercial source of pectin. India is one of the large production country of orange is about 2.64 millions/year. In Maharashtra Nagpur region is well known in central Asia to produce and market hub for orange. It is also known as the California of India, producing excellent quality oranges in large number. This paper reviews the extraction process and its utilization in industry. In the past many researchers are working on the development of the part of the process technology needed for the extraction of value added products i.e. orange oil and pectin from orange peel, which is the waste of orange juice processing industry. Pectin and essential oil extracted by two methods steam distillation and leaching. The pectin yield from steam distillation is more than leaching process reported many researchers. The detail extraction processes were discussed in this paper. The pectin is majorly used in food processing industries, pharmaceutical and is traditional gelling agent for jam and jellies. The effect of various parameters on extraction of pectin and detail applications discussed after extraction processes.
Content-Based Spam Filtering and Detection Algorithms-An Efficient Analysis & Comparison

: Spam is one of the major problems faced by the internet community. There are many approaches developed to overcome spam and filtering is one of the important one. The Content-based filtering is also known as cognitive filtering that recommends items based on a comparison between the content of the items and a user profile items. The content of each item is represented as a set of descriptors or terms. The terms are typically, the words that occur in a document. User profiles are represented with the same terms and built up by analyzing the content of items seen by the user. In this paper, an overview of the state of the art for spam filtering is studied and the ways of evaluation and comparison of different filtering methods. This research paper mainly contributes to the comprehensive study of spam detection algorithms under the category of content based filtering. Then, the implemented results have been benchmarked to examine how accurately they have been classified into their original categories of spam.
Public Auditing For Shared Data In The Cloud Networks With Privacy-Preserving Implementation Ashutosh Kumar

–A cloud administration supplier (CSP) is connected with Third party authority (TPA) for its whole task like information sharing, validation and other reviewing forms. To enhance the productivity of confirmation for numerous examining errands, this research work extends the instrument to support batch scheduling. However, public auditing for such shared data — while preserving identity privacy — remains to be an open challenge. In this, we propose the enhanced privacy-preserving mechanism that allows public auditing on shared data stored in the cloud.
Machine Learning Techniques for Document Summarization: A Survey

_________________________________ Abstract - Currently huge amount of data is available on the internet which is increasing exponentially day by day. It becomes time consuming and tedious job to search a specific topic from the heap of information available. Document summarization is the key solution to the above stated problem. It refers to reducing the size of the document still preserving the main information of it. Abstractive and Extractive are the two main automatic document summarization techniques. The aim of this paper is to present a survey on various extractive document summarization techniques.
Identification of progress and success factors during implementation of Enterprise Resource Planning Package in Indian Steel Industry-A case study on Bhilai Steel Plant

41 Abstract— Although the phenomenal recognition of Enterprise Resource Planning (ERP) tool as reported in various practitioner magazines, there has been little academic research published to date about critical success factors related to ERP adoption and implementation in Indian steel industries. In this study the authors have concentrated on critical success factors (CSFs) of ERP implementation in Indian steel industry. This research provides preliminary findings from an interview conducted at Bhilai Steel Plant, Chhattisgarh. A series of interviews were conducted on selected top management, middle management and end users to identify most critical success factors (CSFs) that are able to enhance the progress and success for Bhilai Steel Plant. All interviewees have adopted ERP implementation progress is associated with the identification of critical success factors before and after the implementation. The identified critical success factor will be considered in developing model of ERP tool development for Indian steel industry.
Spatial Video Compression using EZW, 3D-SPIHT, WDR & ASWDR Techniques

— Over the past decade, the success of wavelets in image processing has contributed to its unprecedented popularity. This paper also realizes and evaluates the efficiency of wavelet based EZW (Embedded Zerotree Wavelet), 3D-SPIHT (3D-Set Partitioning in Hierarchical Trees), WDR (Wavelet Difference Reduction) and ASWDR (Adaptively Scanned Wavelet Difference Reduction) image compression techniques on a colored video. Some comparative results are obtained based on various performance parameters such as Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE), Maxloop, Compression Ratio (CR) and Bit-Per-Pixel (BPP) ratio. These techniques sustain faithful compression and reproduction of video for all video formats.