Miracle-dz/UniFAR-FTUs huggingface dataset:
Internet of Robotic Things Based Robotic Platform for Smoke and Gas Detector in Automobile

The prime source of the air pollution to arrive at an alarming condition is Automobiles.Automobiles generate enough emissions which is polltuing the atmosphere to a great level and the need of identifying the pollutant emissions has become a tedious task.In order to monitor the pollution emissions, Internet of Things (IoT) has been pioneered through this paper to keep a check on these harmful emanations which are directly effecting the environment.Through this paper a smart vehicle emission monitoring system using IoT is introduced which can literally track down the vehicles which are causing a real threat to the environment. A gas sensor comes in the limelight which can be used as a real-time air polluting monitoring system at any time and at any place.The monitoring data caputred is then shared with the vehicle owner through a text message and a copy of the same data is send to the national environmental agencies to have a better picture of the emission standards.The smart emission system effciently diagnose vehicle exhaust in real time and also perks up the level of diagnosing and the accurateness of the exhaust monitoring system.This system is considered to deliver its best in terms of monitoring air pollution in urban areas and provides a good upshot
Evaluating the propensity to save in South Africa using weather-income relationship

We study the propensity to save on permanent and transitory income based on a comprehensive household panel data-set from South Africa. We decompose income into permanent and transitory components, and proxy transitory income by weather deviations from thirty-year normal. We evaluate the propensity to save by OLS and by median regressions. By OLS, we find that the propensity to save on transitory income is not significantly different from one, while the propensity to save on permanent income is significantly different from zero. This finding is in alignment with previous studies. By median regression, we find that the propensity to save by permanent or transitory income are significantly different from either zero or one, meaning that the propensity to save represents some fractions of permanent and transitory income. We also evaluate the propensity to save by income quintiles using median regression. We find that the propensity to save from permanent and transitory income are only significantly different in the highest quintile when durable goods are considered as saving, while not significantly different in the lower 80% of the income distribution. In the top 20%, we find the propensity to save from transitory income is significantly higher than that of permanent income, although it still does not reach one.
ZEF-Discussion Papers on Development Policy No. 296

The study discusses the aspirations and preferences of youth in rural sub-Saharan Africa using a large-scale SMS-based survey data and complements it with an investigation on the causal effects of adolescent aspirations on migration decisions when youth in southwestern Ethiopia. The cross-country youth study shows that most rural youth in Africa prefer working in nonfarm economic sectors. It also finds that above half of the rural youth are undecided about their migration aspirations, providing an opportunity for governments to influence the rural out migration of youth. However, policymakers should also be equally aware that anti-poverty policy measures that simply improve the incomes of rural youth might have unpredictable and unintended consequences on their migration decisions. As a result, policy measures may have to also influence the perceptions of youth toward farming and rural life, and to make rural areas more attractive to the youth. Taking southwestern Ethiopia as a case in point, it was found that above half the adolescents have negative perceptions about farming (both farming life and the pre-requisites to become a farmer). The results also show that educational and occupational aspirations during adolescence exert differing effects on migration decisions after four years. That is, while those who aspired to attain more years of schooling are unlikely to out-migrate within this time period, their counterparts who aspired to have high socioeconomic status occupations tend to out-migrate from the respective areas. The study concludes that the out-migration of youth from rural areas and small towns may not be only due to push factors such as lack of farmland, but it could also be due to their aspirations to work in high socio-economic status occupations which are not often found in the rural areas. Thus, African countries should work to make rural areas and farming more attractive to the aspiring youth such as through improving access to technology, developing infrastructure, and providing support to rural non-farm sectors expansion.
The Impact of Foreign Direct Investment Spillover Effects on Total Factor Productivity in Sri Lanka

This paper examines whether FDI generates productivity spillovers in Sri Lanka, using the annual data over the period from 1978 to 2015. The autoregressive distributed lag model has been estimated to investigate the effects of FDI, research and development, human capital, international trade, technological gap, rate of inflation, population growth and civil war on total factor productivity (TFP). The results reveal that FDI positively influences TFP. The results also confirm that research and development, human capital and international trade have positive effects. The findings suggest that Sri Lanka needs to increase investment in human capital and in research and development and needs to introduce policies to attract FDI inflows.
SECURE DATA IN CLOUD COMPUTING USING HOMOMORPHIC ENCRYPTION

The emergence of cloud computing and cyber-physical systems made of security in processing data a major challenge. In order to ensure privacy and confidentiality of the data being manipulated, the use of cryptography is widely used today. In 2009, C. Gentry proposed the first fully homomorphic cryptosystem, to perform calculations on data previously encrypted without having to decrypt. This progress has allowed the opening of many industrial and research perspectives. However, despite recent progress, many limitations remain today on the lack of performance of these systems and their strong memory requirements. In this paper we focus on cloud computing along with its various security and privacy issues, we describe the role of homomorphic encryption scheme for ensuring data privacy and compare its types based on different characteristics.
The fate of copepod populations in the Paranapanema River (São Paulo, Brazil), downstream from the Jurumirim dam

The longitudinal changes in the structure of copepod populations were examined during the dry and rainy seasons in a 42 km stretch of the Paranapanema River downstream from the dam of the Jurumirim Reservoir. Samples were taken in the "lacustrine" zone of the reservoir near the dam, and also at 12 stations distributed in the middle and the lateral regions of the channel of the Paranapanema River downstream from the dam. The following species of Cyclopoida were found at the sites: Thermocyclops decipiens, Thermocyclops minutus, Paracyclops sp. , Tropocyclops sp and Mesocyclops sp. , and of Calanoida: Argyrodiaptomus furcatus, Notodiaptomus iheringi and Notodiaptomus conifer. In the reservoir sampling station, the copepod abundance during the dry and rainy seasons corresponded to 41 and 51% of the total zooplankton, respectively. This difference could be related to the rainfall and water level variations, and especially to the influence of variables such as water temperature, dissolved oxygen and chlorophyll-a contents. No significant differences in organism numbers were recorded among samples of zooplankton taken in the middle and near-bank parts of the river. In relation to longitudinal variation in the Paranapanema River stretch, a significant decrease in density and disappearance of some species were recorded 11km downstream of the dam during the dry season. At the stations 32km from the dam, a drastic reduction in copepod abundance was observed in the rainy season. These observations could be linked not only to environmental changes from lentic to lotic conditions, but also to the combination of certain factors such as current velocity, water outflow of the reservoir, and rainfall.
Rainfall Runoff Modeling using Gene Expression Programming and Artificial Neural Network

In water resource management and planning the Rainfall-Runoff models play a crucial role and depends mainly on the data available for planning activities. The rainfall-runoff relationship comes under the nonlinear and complex hydrological Event. In the present study two data driven modeling approaches, Artificial Neural Network (ANN) and Gene Expression Programming (GEP) has been used for modeling of rainfall-runoff process as these methods does not consider the physical nature of the process, which is complex to understand. GEP and ANN are used to model rainfall-runoff relationship for Dindori catchment in upper Narmada River Basin. Daily hydro-meteorological data of Dindori gauging station and precipitation of the catchment for a period of eighteen years were used as input in the model design. Various combinations of input variables for training and testing of models were selected based on statistical parameters. The performance of model was evaluated in term of the root mean square error (RMSE), coefficient of determination, RMSE to standard deviation ratio (RSR) and Nash Sutcliffe Efficiency. The results obtained after applying the two techniques were compared. Which indicates that GEP performed better in all performance evaluation parameters (R2 is 0.92) then ANN (R2 0.90) and is able to give mathematical relationship for rainfallrunoff modeling.
Continuous Biosorption Of Arsenic By Moringa Olefera In A Packed Column

Biosorption of As (V) by Moringa oleifera seed powder using a batch system and a continuous upflow mode in a fixed bed column was studied. Batch adsorption experiments were performed as a function of pH, biosorbent dose, contact time, volume of the solution and initial metal concentration. The biodsorption isotherms obtained fitted well into the Freundlich and Langmuir isotherms. The dynamic removal of arsenic by powdered seed of the Moringa oleifera was studied in packed column. The effect of bed height (4 and 8 cm) and flow rate (2ml/min and 5 ml/min) on biosorption process was investigated and the experimental breakthrough curves were obtained. Results showed that by increasing the bed height and decreasing the flow rate, the breakthrough and exhaustion times increased. The break-through time was considered as a measure of the column performance. The maximum break-through time of 320 min was achieved at the operating condition of 2 ml/min influent flow rate and bed height of 8 cm. KeywordsContinuous biosorption, Moringa oleifera, Packed column, breakthrough curves.
LP-NORM SVM BASED ON REWEIGHED MINIMIZATION WITH POSITIVE DAMPED ITEM

A new kind of reweighed Lp-norm SVM, which solves simultaneously two major problems pattern classification and feature selection, based on positive damped item is proposed. The proposed algorithms attempts to select important features among the originally given plausible features, while maintaining the minimum error rate. The resulting value of variable p is not only related to the classification error rate but also connected to the degree of importance of feature. A convergence proof of this reweighed procedure is included and an efficient stopping criterion is employed. Different sets of experiments are conducted on the classification and feature selection tasks, and results compared with L2-norm SVM, and L1-norm SVM show that, our Lp-norm SVM algorithm is superior to these algorithm on both artificial datasets and real-world problems of analyzing DNA microarray data.
Phosphorylation of ser246 residue in integrin‐linked kinase 1 by serum‐ and glucocorticoid‐induced kinase 1 is required to form a protein‐protein complex with 14–3–3

Abstract Integrin‐linked kinase 1 (ILK1) regulates several protein kinases, including PKB/Akt kinase and glycogen synthase kinase β. ILK1 is also involved distinctively in the cell morphological and structural functions by interacting with the components of the extracellular matrix or integrin. According to the information of serum‐ and glucocorticoid‐induced kinase 1 (SGK1) substrate specificity (R‐X‐R‐X‐X‐(S/T)‐ϕ; ϕ indicates a hydrophobic amino acid), two putative phosphorylation sites, Thr181 and Ser246, were found in ILK1. We showed that ILK1 fusion protein and two fluorescein‐labeled ILK1 peptides, FITC‐174RTRPRNGTLN183 and FITC‐239CPRLRIFSHP248, were phosphorylated by SGK1 in vitro. We also identified that 14–3–3 θ, ϵ and ζ among several 14–3–3 isotypes (β, γ, ϵ, η, σ, θ, τ and ζ) formed protein complex with ILK1 in COS‐1 cells. Furthermore, the phosphorylation of Ser246 by SGK1 induced the binding with 14–3–3. It was also demonstrated that 14–3–3‐bound ILK1 has reduced kinase activity. Thus, these data suggest that SGK1 phosphorylatesThr181 and Ser246 of ILK1 and the phosphorylation of its Ser246 makes ILK1 bind to 14–3–3, resulting in the inhibition of ILK1 kinase activity.
GENE BASED MULTIVARIATE BIOMETRIC USER ACCESS CONTROL AND AUTHENTICATION FOR SOCIAL NETWORKS COMMUNICATION

Using multimodal biometrics for effective management of user authentication in online social networks (OSNs) is currently of practical interest. Considerable efforts is said to have taken in this field. However, multi-modal biometrics user authentication provides additional information to enhance the secured and reliable user communication compared to that of traditional cryptographic key authentication in social network. In this work, biometric user authentication scheme with multi-modalities (i.e., types of biometric data) for secured and reliable social network communication, called Multivariate Biometric User Access Control and Authentication (MBUAC-A) scheme is presented. User biometric feature template is extracted from corresponding human individuals and stored in spatial vectors. Gene encoding is applied on user biometric feature template to form an access control strategy. User biometric keys are generated for corresponding gene encoded user biometric feature templates. Authentication of user access is done based on the user biometric keys. Finally, the authenticity of user access is checked and ensured by gene decoding of corresponding user biometric keys. The experimental evaluation of proposal work is conducted with parameters such capacity of biometric feature template, user access control time, number of users, gene encode/decode latency, and access control accuracy.
Evidence of a Media (Ether) Centered on the Earth, I.e., the Special Relativity Theory is Wrong [?]

We examine the associated wave of the electron, and we put in evidence the problem with its relative velocity. The velocity of the electron is always measured relative to the laboratory, which gives the correct behaviour of the electron concerning the law of Louis de Broglie. But, to agree with this law, there must exist some interaction between the electron and the laboratory, which allows the electron to modify its characteristics. The electron must therefore interact with a media connected to the laboratory. Such a media must then be associated with the earth, following it in its path through the Universe. Such a media means that the special relativity theory of A.Einstein is wrong!
General and specific combining ability of in vitro doubled haploid maize lines in the field

The breeding of hybrid maize now has a history of over 100 years. In 1908, George H. Shull was the first to report on the high yields, great uniformity and homogeneity of hybrids derived from a cross between two inbred lines. Following this discovery, consistent self-fertilisation over a period of six to eight generations was found to be an extremely efficient method for developing maize lines. From the mid-1970s, however, with the elaboration of the monoploid ( in vivo ) and microspore culture ( in vitro ) techniques, it became possible to develop homozygous lines within a year.With the help of an efficient plant regeneration system based on anther culture, large numbers of doubled haploid (DH) lines can be produced. In the course of the experiments the seed of DH plants selected over several years was multiplied and crossed with Martonvasar testers, after which the hybrids were included in field performance trials in three consecutive years (2005–2007). The aim was to determine whether the field perform.
A Freight Equilibrium Model Based on Cloud Disproportion for the Shared Cloud

—Cloud computing having tremendous growth on recent years but it is not segregation on shared clouds. Distributed file systems are key building blocks for cloud computing applications based on the Map Reduce programming paradigm. In such file systems, nodes simultaneously serve computing and storage functions; a file is partitioned into a number of chunks allocated in distinct nodes. However, in a cloud computing environment, failure is the norm, and nodes may be upgraded, replaced, and added in the system. Files can also be dynamically created, deleted, and appended. This result in load imbalance, that is, the file chunks are not distributed as uniformly as possible in the nodes. Although shipment equilibrium algorithms exist in the literature to deal with the load imbalance problem. Cloud balancing moves global server shipment equilibrium from traditional routing options based on static data to context-aware distribution across cloud-based services, both internal and external.
Investigation of Corchorus olitorius mucilage as a potential mucoadhesive agent in developing in situ mucoadhesive nasal gel

The present study aimed to formulate a mucoadhesive in situ gel with mucilage extracted from Corchorus olitorius for the intranasal route. Propranolol HCl used as a model drug. For the comparative study, the mucoadhesive in situ gels were prepared using two different concentration 0.4% and 0.5% of C. olitorius mucilage, Carbopol P-934 and hydroxypropyl methylcellulose. The prepared in situ gel was subjected to characterization test, such as pH, appearance, gelation temperature, spreadability, viscosity, mucoadhesive strength, and in vitro study. From the comparative study, 0.5% mucilage containing in situ gel formulation can be considered as optimum formulation.
Legume-feeding psyllids (Hemiptera, Psylloidea) of the Canary Islands and Madeira

A detailed survey of the jumping plant-lice, or psyllids (subfamily Arytaininae) that feed on genistoid legumes in the Canary Islands and Madeira revealed a high level of endemism and diversification in this region. The taxonomy of the genus Arytainilla is reappraised to reflect a distinct origin for the predominantly Macaronesian group. The position of this island group is clarified in relation to the mainly continental Arytainilla sensu stricto which is represented in the Canary Islands by a single species. One new genus and 11 new species are described. Descriptions of previously undescribed 5th instar nymphal stages for 24 species are included. Nine of the new species (eight from the Canary Islands and one from Morocco) are described in Arytinnis gen. n. , two more species from the Canary Islands are described in Arytainilla and Arytaina. In addition, 12 new combinations are proposed. A high degree of host specificity is typical and information is given on host plant associations, biology and geographic distribution. Separate keys for adults and nymphs are provided for Arytinnis gen. n. and the remaining Canary Island species.
Sustainable diet: examining the GHG emissions, land requirements and water footprint impacts of three dietary scenarios in the UK Amitoj Wasu MSc Sustainable Urbanism

The food sector contributes to a significant amount of environmental degradation. In combination with technological advances in food production, changing dietary consumption patterns along with the minimisation of waste are necessary to mitigate the food sector is threat to the environment. The aim of this study was to analyse the effects that dietary choices have in reducing the environmental impacts from the food sector, specifically it focused on GHG emissions, land requirements and the water footprint. It examined three dietary scenarios: i) the current average UK diet, ii) a lacto-ovo-vegetarian diet and iii) a vegan diet. The results suggest that dietary change can play a critical role in achieving environmental goals within the food sector. A 67% GHG emission reduction, a 57% land use reduction and a 16% water footprint reduction has been calculated in this study, by changing from the current average UK diet to a vegan diet. The extent of the environmental reduction potential is significantly dependent on the amount and type of animal products included in the diet, in addition to the type of foods used to substitute it. A number of additional methodological aspects and uncertainties which this paper highlights can be addressed to improve upon the robustness and the quality of the findings. These include but are not limited to sourcing UK estimates for land use and water consumption, accounting for different land types and including import data into the analysis. Finally, to further understand the significance of dietary change in developing a more sustainable food system, requires further understanding of the environmental impacts of plant-based alternatives to meat, the impacts that dietary change has in different locations and social conditions across the globe, as well as measures on how it impacts other pillars of sustainability.
Put an elephant into a fridge

In today's data centers, memory-based key-value systems, such as Memcached and Redis, play an indispensable role in providing high-speed data services. The rapidly growing capacity and quickly falling price of DRAM memory in the past years have enabled us to create a large memory-based key-value store, which is able to serve hundreds of Gigabytes to even Terabytes of key-value data all in memory. Unfortunately, CPU cache in modern processors has not seen a similar growth in capacity, still remaining at the level of a few dozens of Megabytes. Such an extremely low cache-to-memory ratio (less than 0.1%) poses a significant new challenge---the limited CPU cache is becoming a severe performance bottleneck that hinders us from fully exploiting the great potential of high-speed memory-based key-value stores. To address this critical challenge, we propose a highly cache-efficient scheme, called Cavast, to optimize the cache utilization of large-capacity in-memory key-value stores. Our goal is to maximize cache efficiency and system performance without any hardware changes. We first present two light-weight, software-only mechanisms to enable user to indirectly control the cache content at application level. Then we propose a set of optimization policies to address several critical design issues that impair cache's efficacy in the current key-value store systems. By carefully reorganizing the data layout in memory, redesigning the hash indexing structure, and offloading garbage collection, we can effectively improve the utilization of the limited cache space. We have developed a module in Linux as a kernel-level support, and implemented two prototypes based on Memcached and Redis with the proposed Cavast scheme. Our experimental studies show promising results. On a 6-core Intel Xeon processor with only 15-MB cache, we can raise the cache hit ratio up to 82.7% with a very small cache-to-memory ratio (0.023%), and significantly increase the key-value system throughput by a factor of up to 4.2.