Miracle-dz/UniFAR-FTUs huggingface dataset:
Backyard Chicken Farming Role in Supplementing Household Economy of District Quetta, Pakistan

Backyard chicken farming is as an effective tool for poverty reduction in rural areas, by providing living to resource poor communities; it is an important source of extra cash income other than eggs and meat for family consumption. The present study was carried out to assess the role of backyard poultry farming in supplementing household economy of rural farmers dwelling in district Quetta, Pakistan. Information from ninety-nine randomly selected female backyard poultry farmers were gathered during November 2016 to March 2017. Owing to previous government and non-government interventions backyard poultry keeping was found as an established practice. Women were found the main custodian of backyard poultry birds and consequently were the main beneficiary of the activity. Poultry birds of Fayoumi and Golden / Rhode Island Red (RIR) breeds were the main types. Majority of the farmers reared these birds under scavenging conditions in combination with feeding on household left over dry bread (52%); most of the respondents (62%) were taking care of the birds by themselves which resulted in overall low production cost. Income included the earning received from sale of birds, eggs and the home consumption of poultry meat and eggs. Net income per annum per household was estimated as Pakistani Rupee (PKR) 79290/- (US$ 566). The estimated Rank Based Quotients (R.B.Q) based on farmers perception disclosed backyard poultry keeping as an important domestic source of meat and eggs with almost no or very little capital investment, ranked (I, 80%) followed by a substantial source of supplementary income and was ranked (II, 79%). Amongst the problems, disease outbreaks were the most prevailing problem (I, 90%) followed by unavailability of vaccines (II, 85%). The backyard poultry farming generated subsistence income and provided high quality valuable food that improved household nutrition.
PRESENTING FIRST YEAR MATHEMATICS IN THE ALTERNATIVE SEMESTER – A WORTHY EFFORT

This paper reports on a worthy effort to improve the throughput rate in first year mathematics at the University of Johannesburg. Presenting first year mathematics in the alternative semester (introduced in 2010 for the first time) provides students with multiple opportunities; firstly to contribute towards the throughput rate, secondly to improve their mathematical proficiency (knowledge and skills) and thirdly to develop their learning skills. The overarching research aim is to investigate the influence of an alternative semester programme on the mathematical proficiency of a group of first year students and to reflect on the development of students’ self-regulated learning skills by means of the specific mode of teaching. The influence of teaching approaches on students’ mathematical proficiency is highlighted by research (Boaler, 2002; Samuelsson, 2010). Keeping in mind that the mode of teaching seems important for the development of students’ mathematical proficiency, we introduced a unique teaching style. Student feedback was collected via a formal survey and final marks were analysed. The sample consisted of a group of 102 first year mathematics students in the Faculties of Science and Engineering. The valuable nature of student feedback provided verification for the continuation of the alternative semester programme. Noticeable dividends from the programme are perhaps the positive influence on students’ self-regulated learning skills together with the improvement in mathematical knowledge and skill.
MICESE: A New Method Used for the Formulation of Key Messages from the Scientific Community for the EU Post 2020 Biodiversity Strategy

The European Union (EU) 2020 Biodiversity strategy will soon come to an end and may not have been as successful as envisioned. In the current context of the global biodiversity crisis, the European Commission, the research community, and broader society cannot risk another, likely ineffective, attempt by the EU to halt biodiversity loss after 2020. Through the development of the EU post 2020 Biodiversity Strategy, the scientific community of the ALTER-Net and EKLIPSE networks saw a unique opportunity to make a difference for biodiversity in Europe by better involving scientists, policy makers, and society. We developed an innovative, transparent, and collaborative process—called the multiphased, iterative, and consultative elicitation of scientific expertise (MICESE) method. This process allowed us to produce a set of 12 key messages developed by scientists for the EU to prioritize in the development of the new post 2020 biodiversity strategy. These key messages were structured according to their systemic value, scale, and nature. We provide insights and analyses of the new MICESE method before reflecting on how to improve the future involvement of scientists in science–policy interfaces.
An Inside Attack Assessment Model For Infrastructure As A Service In Cloud Trust

: In these days Cloud computing is providing us a suitable choice of computing and storage of the resources mainly for the business in which user ―pay per usage‖. But most of the organizations a re not using the cloud due to the lack of the trust on the service provider. Nowadays data breaches in cloud services are also increasing year-by-year by the hackers which are trying to compromise the security of the cloud. In this work, we have performed a depth analysis of cloud trust models for the existing functional and non-functional aspects to accurately evaluate the trust of the cloud provider and the theory of assessment of the security level of insider threats. We describe the modelling methodology which captures several aspects of insider threats and shows threat assessment methodology to reveal the possible attack strategies of an insider.
IMPROVING UTILIZATION OF OLIVE CAKE SILAGE BY TREATING WITH FIBROLYTIC ENZYMES ON DIGESTIBILITY AND GAS PRODUCTION IN THE RUMEN

In vitro study was carried out to determine the effect of replacing clover hay with olive cake silage with or without fibrolytic enzymes on rumen fermentation and gas production and dry matter disappearance. The experimental diets consist of 50: 50 concentrate: roughage ratio (on DM basis); the experiments divided into four groups, the first group diet was 50% concentrate feed mixture (CFM): 50% clover hay (control). The second group diets were replaced clover hay by olive cake by 25, 50 and 75% for T1, T2 and T3, respectively. The third group diets were replaced clover hay by olive cake silage by 25, 50 and 75% for T4, T5 and T6, respectively. The fourth group diets were replaced clover hay by treated olive cake silage with fibrolytic enzymes by 25, 50 and 75% for T7, T8 and T9, respectively. The results of ensiling olive cake showed that treated olive cake silage was recorded the lower values in pH and NH3-N compared with untreated silage. Results showed a significant decrease in gas production and relative gas production to DM and fiber fractions in all treatments compared with control. DM disappearance showed that T1, T4, T7 and T8 recorded a significant increase compared with control. The current findings reflects a potential possibility of replacing clover hay with olive cake silage especially treated with fibrolytic enzymes.
57ième CONGRÈS CANADIEN DE GÉOTECHNIQUE 57TH CANADIAN GEOTECHNICAL CONFERENCE 5ième CONGRÈS CONJOINT SCG/AIH-CNN 5TH JOINT CGS/IAH-CNC CONFERENCE A CONSTITUTIVE MODEL FOR PARTIALLY SATURATED SOILS

The paper presents an elasto-plastic model describing the behaviour at yielding of partially saturated soils. After a short introduction presenting the existing elasto-plastic models for unsaturated soils, a new model, based on Leroueil & Barbosa (2000) model is proposed. This model assumes that the soil remains saturated until the air entry value is exceeded and its behaviour is controlled by effective stresses. Beyond this particular point, the soil becomes unsaturated and the model then makes use of two independent stress variables: “modified net stress” ) u (u * u * w a a and matric suction. The model represents, in a consistent and unified manner, most of the fundamental features of the behaviour of partially saturated soils which had been considered separately in previously proposed models. An experimental programme was performed in suction-controlled apparatus on reconstituted clay from Sainte-Rosalie, Canada. The agreement between observed and computed results is satisfactory and confirms the possibilities for the model to reproduce the most important features of partially saturated soil behaviour. RÉSUMÉ L’article présente un modèle élasto-plastique pour décrire le comportement à l’état limite des sols partiellement saturés. Après une brève introduction des modèles élasto-plastiques existants pour les sols nos saturés, un nouveau modèle basé sur le modèle de Leroueil & Barbosa (2000) est présenté. Ce modèle suppose que pour une succion matricielle inférieure ou égale à la pression d’entrée d’air le sol reste saturé et son comportement est contrôlé par les contraintes effectives. À des succions matricielles supérieures à la pression d’entrée d’air le sol est partiellement saturé et le modèle utilise alors deux variables de contraintes: la contrainte nette modifiée ) u (u * u * w a a et la succion matricielle. Le modèle représente la plupart des caractéristiques fondamentales du comportement des sols partiellement saturés qui ont été considérées séparément dans les modèles existants. Un programme expérimental a été réalisé, en utilisant des appareils à succion contrôlée, sur une argile reconstituée de Sainte-Rosalie, Canada. Une concordance satisfaisante entre les résultats expérimentaux et ceux obtenus par le modèle confirme les possibilités de ce dernier de reproduire les caractéristiques les plus importantes du comportement des sols partiellement saturés.
Pengaruh Suhu dan Komposisi Media Kultur Terhadap Ekspresi Protein Rekombinan

Jembrana disease only attacks in Bali cattle, up topresentpreventive is conducted by using conventional vaccines of the attenuated Jembrana virus. Disadvantages of the conventional vaccine are expensive and uncontinuous in production also has side effect. Recombinant vaccine was created by using Surface Unit (SU) env-su gene of Jembrana virus into plasmid pET, and transformed into the E. coli BL21 host cell for protein expression of Jembrana SU (JSU). This research was aimed to optimize the expression of the JSUprotein recombinant by applying a combination treatment of temperature culture after induction and culture media composition of LB and mLB (modified). Escherichia coli BL21 containing plasmid JSU-pET was cultivated in those two culture media and incubated at those two applied temperatures. JSU pellets were lysed and supernatant was purified with Ni-NTA resin. The purified JSU protein was characterized and qualified by a spectrophotometer. The results showed that JSU protein was successfully expressed at the right size of 37kDa in all treatments. JSU expression showed that protein yield was higher at culture of (0.618 ± 0.095 vs 0.704 ± 0.094) than cultured at 37C (0.598 ± 0.137 vs. 0.553 ± 0.041) in both media of LB and mLB, respectively. These findings indicate that a lower culture temperature could increase protein yield both in LB and modified LB media.
The impact of accounting information on share prices: a study of listed companies in Sri Lanka

The stock price of securities is one of the most important variables for valuation. Managers are looking for information that can assist them in predicting stock prices. This enables managers to develop dimensions that better decisions based on accurate information on financial variables can make the necessary. The main objective of this study is to explore the relationship between equity price with earnings, dividends and net asset. The present study examines the impact of Earning per share,(EPS) Dividend per share (DPS) and Net assets value per share (NAVPS) in the formulation of stock prices on a sample of 65 companies listed on the price in Colombo Stock Exchange (CSE) during the 2010-2014 period. The resulting evidence suggests that the joint explanatory power of the above parameters in the formation of stock prices increases over time. Earnings are the most widely used accounting information for investment decisions in Sri Lanka, followed by dividends and net book value. Therefore, the study suggests that companies should improve the quality of earnings as manipulated earnings (of which Dividends are subsets) have significant effects on share prices.
Smart Car Parking System

- Smart Parking assistance is a deep learning based product. In many cities, automobiles are one of the main reasons to rising emissions. According to survey, 30% of the traffic in urban areas is caused by drivers and motorists looking for parking spaces. The smart parking assistance provides a simple and effective solution that is integrated with existing parking space sensors (video cameras). With Convolutional Neural Network (CNN), the parking slot availability status is updated in real-time. User with simple GUI application can book slot on preferred location based on availability of parking slot. Based on choice preferences of user and historical data of user on frequent visit to liked destinations, advanced slot booking option is made available to avoid unnecessary extra charges and smoothen the traffic by reducing traffic congestion.
An effective deep autoencoder approach for online smartphone-based human activity recognition

Smartphones based human activity recognition (HAR) has a variety of applications such as healthcare, fitness tracking, etc. Nowadays, the signals generated by smartphone-embedded sensors such as accelerometer and gyroscope are used for HAR. However, achieving high recognition accuracy with low computation cost is required in smartphone based HAR. Therefore, we utilize one of the well-known deep learning approach named stacked autoencoder (SAE) to enhance the recognition accuracy and decrease recognition time. To evaluate the proposed method, we applied it on a public benchmark dataset; and compared it against available methods known of highest recognition accuracy on the same dataset. We have found that the new method increase the overall classification accuracy from 96.4% to 97.5% and as well the average recognition time of each testing sample is decreased from 0.2724 ms to 0.0375 ms.
Large Scale Study of City Dynamics and Urban Social Behavior Using Participatory Sensor Networks

Smartphones play a fundamental role in today’s technologically-advanced community allowing people to communicate (almost) anywhere in the world and share all kinds of contextual information (e.g., location and opinion). They are being manufactured with an increasing number of powerful embedded sensors of different categories (e.g., acoustic, sound, GPS), enabling a variety of new applications and services. Indeed, smartphones are being used for many personal sensing applications, such as for monitoring physical exercises, and for wide participatory sensing applications, which are not limited to a particular individual (e.g., traffic conditions and noise pollution) [Silva et al. 2013b].
Impact of Humor Advertising on Brand Purchase Strategy

The humor advertisement is important for every types of marketer. The main aim of the study is to analyze the impact of humor advertisement on the brand purchasing strategy of consumers. This study used descriptive research design by testing the hypothesis with dependent and independent variables. The questionnaire based survey has been undertaken upon the sample of 136 respondents. Furthermore, data analysis has been carried forward with the help of SPSS through regression and correlation. The results reveal that there is no significant relationship exists between the independent variable (humor advertisement) and the dependent variables (brand attitude, brand memories, purchase intention). There is low correlation between humor advertisement and brand attitude that shows p<0.1. Industries have been spending huge amount of money on humor advertisement but the study has also revealed that there is no significant changes in brand purchase strategy of consumer by appealing humor advertising. Test results of correlation and regression shows that humor advertisement can’t make brand purchase strategy. Therefore study of consumer behavior is important to create brand purchase strategy and spending nature of consumer towards advertised products.
Simulation of the In Situ Spatially Varying Ground Motions and Nonlinear Seismic Response Analysis of the Cable-Stayed Bridge

To study the nonlinear seismic behavior and seismic resistance of the long-span cable-stayed bridges subjected to earthquakes, the multidimensional and multisupported artificial ground motions are synthesized first based on the in situ site conditions of the bridge considering the coherent and traveling wave effects. Then, considering the material nonlinearity of the cable-stayed bridge, a 3D finite element model is established based on the OpenSees platform, and the nonlinear seismic response analysis of the bridge is carried out under the synthetic artificial ground motions. The nonlinear seismic response of main bridge components such as piers, towers, bearings, and cables is analyzed, and key conclusions and observations are drawn.
Grey Relational Grades and Neural Networks: Empirical Evidence on Vice Funds

This research examines time-series predictability of Vice Funds Indices through the Grey Relational Analysis (GRA), and also applies three types of Artificial Neural Networks (ANN) model, namely, Back-propagation Perception Network (BPN), Recurrent Neural Network (RNN), and Radial Basis Function Neural Network (RBFNN) to capture nonlinear tendencies of Vice Funds indices. The study finds that among the three ANN models, BPN has the best predicting power. When the data is separated into 10%, 33% and 50% testing data sets to test the proficiency of the available forecasting information in the time-series of the predictors, the predictive power of the BPN model again dominated the findings 60% of the time. Traders, investors and fund manager can rely on BPN predicting power with large or even small data set. Nevertheless, the result also suggests the predicting power of both RNN and RBFNN model with smaller data sets. Overall, it is suggested that traders and fund managers have stronger chance of achieving more accurate forecasting using the BPN model in Vice Funds indices. Findings of this research have policy implications in the creation of forecasting and investing strategies by examining models that minimize errors in predicting Vice Funds indices.
Tämä on rinnakkaistallennettu versio alkuperäisestä julkaisusta

Bisphosphonates are used for prevention of osteoporosis and metastatic bone diseases. Anti-invasive effects on various cancer cells have also been reported, but the mechanisms involved are not well-understood. We investigated the effects of the nitrogen-containing bisphosphonate alendronate (ALN) on the regulation of actin cytoskeleton in PC-3 cells. We analyzed the ALN effect on the organization and the dynamics of actin, and on the cytoskeleton-related regulatory proteins cofilin, p21associated kinase 2 (PAK2), paxillin and focal adhesion kinase. Immunostainings of cofilin in ALN-treated PC-3 cells and xenografts were performed, and the role of cofilin in ALN-regulated F-actin organization and migration/invasion in PC-3 cells was analyzed using cofilin knockdown and transfection. We demonstrate that disrupted F-actin organization and decreased cell motility in ALN-treated PC-3 cells were associated with decreased levels of total and phosphorylated cofilin. PAK2 levels were also lowered but adhesion-related proteins were not altered. The knockdown of cofilin similarly impaired F-actin organization and decreased invasion of PC-3 cells, whereas in the cells transfected with a cofilin expressing vector, ALN treatment did not decrease cellular cofilin levels and migration as in mock transfected cells. ALN also reduced immunohistochemical staining of cofilin in PC-3 xenografts. Our results suggest that reduction of cofilin has an important role in ALN-induced disruption of the actin cytoskeleton and inhibition of the PC-3 cell motility and invasion. These data also support the idea that the nitrogen-containing bisphosphonates could be efficacious in inhibition of prostate cancer invasion and metastasis, if delivered in a pharmacological formulation accessible to the tumors.
What the Monkey ate before , and what he is eating now ’ – A small-scale case study of local climate change adaptation in rural Nepal

Community-based adaptation (CBA), a decentralized bottom-up climate planning approach, has become increasingly important in the corresponding literature and in practice. CBA is a significant part of the debate of how to create and provide sustainable and adaptive solutions to the negative effects of climate change. Local Adaptation Plans of Action (LAPA) in Nepal is the first national legislation implementing CBA on a broader scale. By giving communities an opportunity to participate in local climate planning processes, LAPA aims to better incorporate site-specific climate-, geographical, and socio-economic realities into the development of responses to climate risk and climate change. LAPA therefore intends to recognise local people as active agents to foster their resilience and adaptive capacity. This study examines the benefits and limitations of LAPA to gain new insights for future CBA-based climate adaptive projects. Focus was given on how participatory LAPA is in practice and whether implemented projects help to reduce a community’s climate vulnerability. Data collection occurred in four districts of Nepal (Kathmandu District, Ramechhap, Dang and Chitwan) and generated 24 interviews using qualitative research methods. The findings reveal that much LAPA-planning does not incorporate all stakeholders as specifically local participation is limited to labour only. Hence, crucial site-specific socioeconomic realities are missing in the planning and implementation process. The study shows that realizing the objectives of CBA in the case of LAPA is not likely to be a straightforward effect of participatory policies, but requires deeper institutional changes to bring about more substantive local participation. At the same time, attention to the wide range of challenges that households face, both climatic and non-climatic, is needed to address the conditions that make households vulnerable in the first place. Initiatives based on LAPA aiming to address these factors are already being implemented in Nepal.
Mutual Coupling Reduction of Dual Polarized Low Profile MIMO Antenna Using Decoupling Resonators

─ This paper presents a resonator based decoupling structure for 2×2 dual polarized array antenna. The designed structure consists of two decoupling resonators placed between the antenna elements. The proposed decoupling structure can effectively enhance the isolation and has negligible impact on the radiation patterns. Index Terms ─ Decoupling, dual-polarized array, resonator.