Miracle-dz/UniFAR-FTUs huggingface dataset:
Women in Small and Medium Scale Agricultural Enterprises and Poverty Reduction in Yobe State: A Logistic Regression Approach

In Nigeria, about 70% of the populace live in the rural areas and are engaged in agriculture at peasant level. However, the growing demands for increased agricultural production in Nigeria offers opportunities for farmers to relief the negative impact of traditional agricultural practices and underutilization of inputs in the new farming order of mechanization tagged ‘precision agriculture [1]. One way by which this negative impact can be reversed is through the integration of the Small and Medium Scale Enterprises (SME). The small and medium scale enterprises are seen as keys to integrated growth, alleviation of poverty and reduction of unemployment in the country [2]. Since small and medium-sized enterprises (SMEs) are the backbone of growth in production, employment and innovation it is crucial to provide an enabling environment for agricultural SMEs in Africa. Small and Medium Enterprises (SMEs) occupy a place of pride in virtually every country or state. Because of the significant roles SMEs play in the growth and development of various economies, SMEs have aptly been referred to as “the engine of growth” and “catalysts for socio-economic transformation of any country”. SMEs represents a veritable vehicle for the achievement of national economic objectives of employment generation and poverty reduction at low investment cost as well as the development of entrepreneurial capabilities including indigenous technology [3]. Nigeria is endowed with vast productive arable land which can be harnessed for the development of SME agricultural projects. It stands to reason that if the country is to show serious commitment to the development of the SMEs in the agricultural sector, the economy must witness meaningful transformation and prosperity. A dynamic SMEs sub sector in the agricultural sphere is vital and imperative for the overall economic development of the nation. Apart from providing opportunities for employment that enhances poverty alleviation, SMEs help to provide effective means for curtailing rural urban migration and the utilization of local raw materials. It is against the back drop of the positive roles of SMEs in an economy that this paper proposes the rapid development of SMEs in the agricultural sector [1].
A Flexible Framework for Vision based Obstacle Avoidance Problem

— This paper addresses a new architecture that employs optical flow for vision based obstacle avoidance problem for mobile robot navigation. The proposed architecture utilizes monocular vision for navigation and obstacle avoidance. Real experiments to guide a Pioneer 3-DX mobile robot in indoor environments are presented, and the analysis of the results allow us to validate the proposed behavior based navigation strategy .
PERSONALITY TRAITS OF TEACHERS AND DESIRED LEADERSHIP STYLES

The study investigated the relationship between teachers’ personality traits and their desired leadership styles in the Cape Coast Metropolis of Ghana. The descriptive survey design was used for the study with a total of 417 employees randomly selected from five secondary schools in the metropolis. Results indicate that all the five personality traits had significant positive relationship with transformational leadership style, with conscientiousness having the strongest relationship and neuroticism the weakest. Thus conscientious teachers have higher preference for transformational leadership than employees of the other personality traits. Neuroticism had the strongest positive relationship with transactional leadership style among the other traits. Agreeableness and openness also had significant (weak) positive relationship with transactional leadership style. Conscientiousness however did not have significant relationship, with extraversion relating negatively with transactional leadership style. It was recommended that school managers should endeavour to know the traits of their subordinates and apply the appropriate leadership styles when dealing with them to bring about good interpersonal relationship and satisfaction at the workplace.
Sentiment Analysis in Data of Twitter using Machine Learning Algorithms

— microblogging websites like twitter and fb throughout this new generation is loaded with reviews and information. one in each of the hugest used micro-running a blog computing device twitter is anyplace individual’s percentage their principles within the form of tweets after which it becomes one amongst the simplest sources for sentimental evaluation. opinions are wide taken care of into three training smarts for positive unhealthy for negative and neutral and then the strategy of reading versions of opinions and grouping them altogether these classes is assumed as sentiment evaluation. Information mining is basically accustomed discover applicable information from websites drastically from the social networking web sites. merging method with numerous fields like textual content mining human language era and device intelligence a tendency to rectangular degree capable of classify tweets almost pretty much nearly as top bad or neutral. the foremost stress of this evaluation is on the class of emotions of tweets facts accrued from twitter. within the beyond researchers were exploitation existing device mastering strategies for sentiment evaluation however the effects confirmed that current machine learning techniques were not supplying better outcomes of sentiment category. consequently, on enhance type finally ends up in the area of sentiment evaluation we tend to rectangular degree exploitation ensemble machine getting to know strategies for growing the potency and trait of projected approach. for the equal a bent to rectangular measure merging aid vector system with name tree and experimental results show that our projected technique is offering higher type ends up in phrases of f-measure and accuracy in distinction to character classifiers
Investigation of New Explicit of Solutions for Multi-Dimensional Nonlinear Differential Equations Using Lie Symmetry Reduction with the Integrating Factors Method

Recently, many methods are applied to reach analytical solutions of NLPDEs as Darboux transformation [1, 2]. Tanh-Coth method [3], Hirota bilinear method [4, 5], HBM [6], the (G^’/G) expansion method [7], Exp-Function method [8] and Rational Function transformations [9]. Here, two equations namely, the (2+1)-dimensional Calogero-Bogoyavlenskii-Schiff (CBS) equation and the (3+1)-dimensional generalized BKP equation have been solved by Lie symmetry Reduction method [10-12]. Using the Lie Reduction method and (IF), we derive a novel combination of solutions for these equations.
Formulation, Characterization and Pharmacokinetic Evaluation of TelmisartanSolid Dispersions

Telmisartan (TEL), a BCS class II antihypertensive drug possesses poor aqueous solubility which results in poor bioavailability after oral administration. Solid dispersion approach has been widely and successfully used to improve the biopharmaceutical profiles of the poorly soluble drugs. Present study was an attempt to prepare and compare the solid dispersion (SD) of Telmisartan using a novel polymer soluplus® by employing spray drying and melt extrusion techniques. Results demonstrated an improvement in solubility of TEL by 44, 3.3, 11 and 99 times as compared to pure drug in water and buffers pH 1.2, 4.5 and 7.4 respectively, post preparation of solid dispersions. Further, similar improvement was observed in in vitro release studies highlighting the importance of formulating solid dispersion. DSC and PXRD study revealed the amorphous state of TEL in solid dispersion. The developed SD were found to be stable at 40°C/75% RH, 25°C/60% RH and 2-8°C in accordance to ICH guidelines. The pharmacokinetic study in rats revealed promising results which were correlated well with the in vitro dissolution and solubility study. Results indicated the usefulness of solid dispersions prepared using soluplus® by industrially viable techniques to improve not only the bioavailability of TEL but also their potential for commercialization.
Giant pleomorphic adenoma of major salivary glands: A review of ten cases

Background: Pleomorphic adenoma (PA) of the major salivary glands has been documented to occur in various sizes ranging from 1 cm to 10 cm in their widest diameter; however, they can assume a grotesque proportion as a consequence of uninhibited growth in cases with delayed presentation. Patients and Methods: A retrospective study of all patients with PA of the major salivary glands with sizes >10 cm in its widest dimension and seen over a 10-year period was undertaken by retrieving sociodemographic and clinical data from patients’ case files from the Oral and Maxillofacial Unit of a Nigerian Teaching Hospital. Results: Case files of ten patients (4 males and 6 females) were reviewed over the study period. The ages ranged from 14 to 61 years, mean 33.8 ± 17.97 years. Equal distribution of five cases of PA was noted in the parotid and submandibular glands, respectively. The onset of symptoms ranged from 3 to 20 years and the largest tumor was 27 cm in its largest diameter. Only one case of malignant PA was recorded. Conclusion: Prevalence of giant PA from the study was found to be 13.5%, with a greater occurrence in the female (60%) patients compared to the male (40%) patients and with an equal distribution in both parotid and submandibular glands. PA of major salivary glands can assume a grotesque proportion when timely surgical intervention is not sought. Complete surgical excision in benign lesions can guarantee a cure and restore self-esteem.
Common Fixed Point Theorems for Sequences of Mappings under General Contractive Condition of Integral Type in Fuzzy Metric Spaces

The purpose of this paper is to study common fixed point theore ms for six (four single-valued and two set-valued) mappings in fuzzy metric space using general contractive condition o f integral type, without assuming compatibility and contin uity of any mapping on non complete metric spaces. To prove the theorems , we use a non compatible condition, that is, weak commutativ ity of type (Kh)in fuzzy metric spaces. We show that completenes s of the whole space is not necessary for the existence and uni queness of common fixed point. Also, we prove a common fixed point theorem for two self mappings and two sequences set-valued mappings by the same weaker conditions.
Comparative Assessment of Microbial Contamination from Swabs Collected within University Facilities

The present study which lasted from January to March 2013 aims to evaluate the microbial contamination within the university of technology, Baghdad. 44 swabs were collected from 7 different locations (kindergarten, Building and construction engineering department, workshops and training center, presidency, three cafeterias and restaurants). 56 microbial isolates were obtained, 51 (91.1%) bacteria and 5 (8.9%) fungi, (23.5%)of 51 bacterial isolates belong to Gram positive and 39 (76.55%) for Gram negative bacteria. The total viable count (TVC) was 7.3 log10 CFU/ ml, 3.35 log10 CFU/ ml, 3.45 log10 CFU/ ml, 3.55 log10 CFU/ ml, 5.23 log10 CFU/ ml for kindergarten, Building and construction engineering department, presidency, workshops and training center, three cafeterias and restaurants respectively, while (TVC) of carpets, sinks and bathrooms, lockers, dining table, doorknob was 3.23 log 10 CFU/ ml, 2.25 log10 CFU/ ml, 1.15 log 10 CFU/ ml, 2.15 log10 CFU/ ml, 2.45 log10 CFU/ ml respectively.
EFFICACY OF SEED POWDER AND EXTRACTS OF AZADIRACHTA INDICA LINN (MELIACEAE) AT GRADED LEVELS ON ADULT CALLOSOBRUCHUS MACULATUS (COLEOPTERA: BRUCHIDAE) IN MUBI, NORTH-EASTERN NIGERIA

The efficacy of Azadirachta indica seed powder and extracts (oil and aqueous) was evaluated for the control of bean weevils (Callosobruchus maculatus) on stored cowpea grains in Mubi. Neem seed products and Darksh (synthetic chemical) were compared with the control (untreated). Daily mortality count was noted for three days, while the F1 generation emergence and weight loss by the grains were subsequently noted. Data collected was subjected to ANOVA, and the treatment means were compared using LSD at 5% probability level (P=0.05). The results showed that all the treatment levels showed some toxic activity and deterrence in the further infestation. Neem seed oil and aqueous extracts showed encouraging toxic activities, deterrent activities and promptness that were just as good as Darksh, the control inorganic insecticide. Neem seed products showed high level of toxicity, low F1 emergence and weight loss by the grains. The advantages proffered by the window of utilizing neem as pesticide, namely: availability, safety, low cost, ease of application, was highlighted.
SYNOVIAL FLUID ANALYSIS IN DOGS WITH ELBOW, HIP AND STIFLE JOINT DISORDERS

The study consisted of 18 dogs divided into Three groups. Each group consisted of Six dogs with elbow, hip and stifle joint disorders respectively. All the dogs were subjected to synovial fluid evaluation. The physico-chemical parameters recorded in these dogs included synovial fluid volume, color, viscosity, transparency, protein concentration, total nucleated cell count and differential cell count respectively. In the present study the mean synovial fluid volume increased compared to the normal average values. The color of synovial fluid was variable and varied from red tinged to yellow. The Viscosity and transparency of the synovial fluid decreased compared to normal average values. The mean values of protein concentration and total nucleated count of synovial fluid were higher compared to normal average values. The mean mononuclear cell count was lower than normal values whereas the mean synovial fluid differential cell count (Polymorphs) was relatively higher as compared to normal values. The variations in the values of different parameters of synovial fluid within the groups were statistically nonsignificant (P≤0.05)
Human Computer Interpreting with Biometric Recognition System

— Biometric recognition system contains wide variety of recognition techniques using for identification and verification purposes. Wide systems must require reliable personal recognition system due to the security region for the system. The purpose of such system is to ensure that this identification and verification services are accessed only by a legal authorized user. Examples of such applications include secure access ATM, bank strong room, cellular phone, laptop, computer, and internet banking. In the absence of tremendous personal scheme, these systems are going to hand in unauthorized, fraudulent persons doing illegal activity. In this paper, we give some biometric recognition system with algorithms include results, tools and technique.
WEEBOT – A ROBOTIC MODEL THAT SOLVES AGRICULTURAL TASKS & WEED IDENTIFICATION USING ARTIFICIAL INTELLIGENCE ALGORITHM

: In a world reached a population of six billion humans increasingly demand it for food, feed with a water shortage and the decline of agricultural land and the deterioration of the climate needs 1.5 billion hectares of agricultural land and in case of failure to combat pests needs about 4 billion hectares. To sow seeds within optimal spacing between adjacent crops, irrigate the crops timely depending on the soil condition and to remove the weeds in the agriculture field. Update the farmer with the status of the field timely through IOT are all the tasks accomplished by the bot. A network of sensors is utilised to do this. In the present scenario, there are no such system that removes weeds alone. There are only blades kept to completely chop off the weed along with the crop. But this intelligent machine solves this problem with better performance. In fact, the product is subjected to be cost effective so that all class of people can take up its benefits. Weeds represent 34% of the whole pests while insects, diseases and the deterioration of agricultural land present the remaining percentage. Weeds Identification has been one of the most interesting classification problems for Artificial Intelligence (AI) and image processing. The most common case is to identify weeds within the field as they reduce the productivity and harm the existing crops. Success in this area results in an increased productivity, profitability and at the same time decreases the cost of operation. On the other hand, when AI algorithms combined with appropriate image processing tools may present the right solution to the weed identification problem. In this paper, we introduce an evolutionary artificial neural network to minimize the time of classification training and minimize the error through the optimization of the neuron parameters by means of a genetic algorithm. The genetic algorithm, with its global search capability, finds the optimum histogram vectors used for network training and target testing through a fitness measure that reflects the result accuracy and avoids the trial-and-error process of estimating the network inputs according to the histogram data.
Epidemiology of neoplastic eyelid lesions in tertiary care hospital

Introduction: Lesions from cutaneous portion of eyelid account for the considerable number of ocular specimens sent to the histopathology laboratory for evaluation. Wide spectrum of lesions ranging from non-neoplastic to neoplastic lesions can arise from different tissues of eyelid. Aim : The aim of our study was to categorise the Neoplastic lesions, evaluate the prevalence of tumors and to compare with epidemiological data. Materials and Methods: Retrospective analysis of 774 consecutive cases of Eyelid tumors over a period of 5 years was carried out in tertiary health care system through histopathological confirmation. Results: A total of 774 eyelid tumors consisted of 718 Benign lesions (92.76%) and 56 Malignant lesions (7.24%). Benign tumors were common in the fifth decade with female predominance affecting upper eyelid. Maximum number of Benign tumors were 318(44.28%) cases of Cystic lesions followed by 135(18.8%) Melanocytic lesions and 126(17.54%) cases of Epithelial proliferations. Malignant tumors were predominant in seventh decade with female preponderance and preference for lower eyelid. Sebaceous gland carcinoma 24(42.85%) was the commonest malignant tumor followed by 18(32.14%) Basal cell carcinoma, 5(8. 92%) Squamous cell carcinomas and 4(7.14%) cases of Malignant melanomas. An interesting case of Squamous cell carcinoma arising from Pilomatricoma was also seen. Rare tumors noted were 3 cases of Keratoacanthoma and one each case of Merkel cell carcinoma and Non -Hodgkin’s lymphoma. Conclusion: Benign tumors comprise majority of eyelid tumors. A high index of suspicion for malignant lesion will enable the patients for early diagnosis and management with the better prognosis of these tumors.
The Impact of Value Added and Regulatory Framework on the Adoption of Internet Banking in Iran

The motivation for this study is the belief that the poor response to Internet banking in Iran springs from an inadequate regulatory framework for customer protection and the lack of initiatives on the part of the banks in promoting this new delivery channel. In addition to the two key factors mentioned above, this study also tries to examine the impact of other factors such as the customers’ attitude towards risk, trust in the service provider, customers’ perceived value of Internet banking, and the interface design of the bank web site on Internet bank adoption. Results showed that the scope and quality of the innovations in services provided by banks and financial institutions in their internet-banking systems ought to be reinforced if they aim to persuade their customers to apply such new services more frequently. Establishment of sufficient (as well as efficient) regulations for internet-banking can also prompt the traditional bank customers to move up to this higher technology. With regard to the significant role of the value added in facilitating the process of accepting a new technology, one may claim that exposing the customers to the advantages of internet-banking has a considerable positive effect on expanding the use of this innovative banking system. [Mohammad Ali Molaei, Rohollah Dehghan Manshadi, Bozorgmehr Ashrafi. The Impact of Value Added and Regulatory Framework on the Adoption of Internet Banking in Iran. Journal of American Science 2011; 7(12):8693]. (ISSN: 1545-1003). http://www.americanscience. org. 13
Study of multi drug resistance pattern in the bacterial samples isolated from neonatal blood samples

Blood cultures provide essential information for the evaluation of a variety of diseases particularly, in patients with suspected sepsis. Pathogens causing neonatal infections and their antibiotic susceptibility patterns may change over time and differ between countries. The present study is an attempt to study the multidrug resistance in the neonatal blood samples. For this purpose 3031 blood culture samples were studied in department of microbiology G B Pant children hospital for a period of two years. Out of 3031 samples received 21.54% samples tested positive for bacterial growth by Bact/Alert 3D system yielding both gram positive and negative bacteria like Cocci spp and Bacilli Spp. as well as yeasts were also obtained. Out of total organism cultured, 58.03% were gram positive while 26.95% accounted gram negative bacilli, 14.29% fungi and 0.78% others. After identification the isolates were subjected to antimicrobial susceptibility testing. Among gram positive Cocci, vancomycin, linezolid, netilamicin, teicloplanin, tigecycline showed 100% sensitivity followed by gentamicin and amikacin. Among Gram negative Bacilli, tigecycline showed 100% sensitivity followed by imipenem, pipercillin plus tazobactum. The prevalence of Methicillin resistant Staphylococcus aureus was 50 %, Extended Spectrum Beta-Lactamases was 20% (Klebsiella spp, E. Coli, Salmonella typhii) and Carbapenem resistance of 17.61% (Klebsiella spp, Acinetobacter Spp, Pseudomonas Spp). So this study highlights the emergence of gram positive organism as predominant cause of sepsis in paedriatic patients. Various gram positive and gram negative isolates are mostly susceptible to vancomycin, tigecycline antibiotics which are high end antibiotics used at the centre but the appearance of resistance to carbapenems, cephalosporins, aminoglycosides is of serious concern.
CLINICO-MYCOLOGICAL PROFILE OF DERMATOPHYTOSIS

Introduction Dermatophytosis is a major public health problem in the world today affecting millions of people. Hot and humid climate in the tropical and subtropical countries like India makes dermatophytosis or ringworm a very common superficial fungal skin infection. Aims and Objectives – This study was aimed to study the clinical profile, isolate and identify the causative fungal agents of dermatophytosis. Materials and Methods – This prospective study was conducted on 100 clinically suspected cases of dermatophytosis attending outpatient department of Skin & VD, Dayanand Medical College & Hospital, Ludhiana. Specimens like skin scrapings, hair pluckings and nail clippings were collected depending on the site of lesion and were subjected to microscopic examination and culture. Results Tinea corporis was the most common clinical presentation followed by concomitant tinea infections. Young adults in the age group of 21-30 years were mainly affected. The male to female ratio was 1.5:1. Overall KOH positivity and culture positivity was 75% & 56% respectively. Trichophyton rubrum (91.07%) was the most common isolate followed by Trichophyton mentagrophytes (3.57%), Trichophyton tonsurans (3.57%) and Trichophyton violaceum (1.78%). Conclusion Tinea corporis was the most common clinical form of dermatophytosis prevalent in this region and Trichophyton rubrum was the predominant fungus isolated.