Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Some Additives in Enhancing the Formulation of Bacteria Bacillus thuringiensis Against Phthorimaea operculella and Helicoverpa armigera : 2-Chemical additives

Some Chemical additives have been adopted to improve the potency of the formulation of Bacillus thuringiensis var. Kurstaki (HD-234) against Phthorimaea operculella and Helicoverpa armigera. Results showed that after the addition of boric acid the percentage of the corrected mortality was 89 ± 2.55 and 90 ± 2.12% for P. operculella and H. armigera, respectively. Also results showed that when sodium dodecyle were added to the B.t. (HD-234) the means% of the corrected mortality recoded 88±2.47 and 91± 1.58 for the same corresponding pests. When urea were tested alone at 0.1% the means% of the corrected mortality recoded 4.0 ±2.41 and 8 ± 2.3 for P. operculella and H. armigera, which increased to 51 ±4.05 and 54 ±2.72, respectively. When urea was tested as protein solublizing agent, data showed that, there was no significance difference after the combination of urea at 0.1, 0.05 and 0.01% concentrations with B. thuringiensis (HD-234), it was not enhancer for B. thuringiensis. Larval mortality of P. operculella were 49 and 50%, respectively, when B. thuringiensis (HD-234) tested alone at LC50 and they increased to be 88 and 80% after the incorporation of Larginine and L-serine at 0.1% concentration, respectively; the efficiency of B. thuringiensis (HD-234) increased by factor of 1.80 and 1.60, respectively. After the incorporation of acetamide at 0.1% concentration to B. thuringiensis (HD-234) at LC50, larval mortality of P. operculella and H. armigera highly increased to be 82 and 88%, respectively, as compared to 47 and 51% when B. thuringiensis (HD-234) tested alone at LC50. The efficiency of B. thuringiensis (HD-234) increased by factor of 1.74 and 1.73 after the combination of calcium acetate at 0.1 and 0.05% concentrations with B. thuringiensis (HD-234) enhancing the activity of B. thuringiensis measured by the increase in mortality percentage. Larval mortality highly increased from 46 and 49% for B. thuringiensis alone at LC50 against P. operculella and H. armigera larvae, respectively, to 68 and 70% after the incorporation of 0.1% calcium acetate with B. thuringiensis, causing 1.48 and 1.43 fold increase in the efficiency. When B. thuringiensis (HD-234) tested alone at LC50. the larval mortality of P. operculella and H. armigera was 47 and 51%, respectively; it decreased to reach 39 and 39%, respectively, after the incorporation of sorbic acid at 0.1% concentration larval mortality caused by B. thuringiensis (HD-234) alone was 50 and 52% at LC50 against 1 instar larvae of P. operculella and H. armigera, respectively, while larval mortality increased to 68 and 76% after the addition of 0.1% of dimethyle sulfoxide, respectively.
Wavelet Coefficients Energy Redistribution and Heisenberg Principle of Uncertainty

Abstract. This paper introduces the relation of Heisenberg Principle of Uncertainty to maximum Wavelet level of decomposition where the Wavelet coefficients typically provide sparse representation. In Quantum physics, Heisenberg Principle of Uncertainty states that we cannot exactly know the position and momentum of a particle simultaneously. In time frequency domain, Heisenberg Principle states that we cannot exactly know information about time and frequency simultaneously. Time delta multiplied by frequency delta is greater than some arbitrary constant. This restriction has different consequences in Fourier transformation and Wavelet transformation, which is more suitable for non-stationary times series analysis. Wavelets fits into this principle because a basic Wavelet is characterized by short time and high frequency. However, when the Wavelet is stretched then it has longer time anhd lower frequency. This principle is inherent in the nature of things and has nothing to do with numerical precision of the Wavelet analysis. First part of the paper summarizes Heisenberg Principle of Uncertainty, Wavelet transformation and signal energy. Second part presents Wavelet analysis of Apple Inc. stock daily closing price showing energy redistribution depending on the Wavelet decomposition level based on the choice of the Wavelet used for decomposition and the level of decomposition.
A SHORT COURSE ON WEYL ALGEBRAS AND D-MODULES

These Notes base on two short courses and series of lectures held at the University of Thai Nguyen and the Vietnam Institute for Advanced Study in Mathematics Hanoi in October – December 2013. For readers, who aim to get a more complete presentation of the subject, we recommend to consider the notes [6] or [7], which also are available on the authors homepage at the Institute of Mathematics of the University of Zürich or on request by e-mail.
Investigate the Friction Stir Welded 6082 – T 6 Aluminum Alloy Properties by Varying Tool Geometry and Process Parameters

Today’s world diverts toward the light weight and high strength material at very fast rate. Consequently, aluminum alloy replaces steel structure at so many places in industries as well as in common applications. Due to that quality fabrication of aluminum alloys is essential. But non-conventional welding processes is not more efficient to join aluminum alloy. Therefore, novel green friction stir welding technology is used in the present work. Friction stir welding technology is sub-part of solid-state welding processes because it joins the metal parts before the temperature of weld zone cross the melting point with the application of axial pressure. To fulfil the objective of quality and sound welding of aluminum, effect of six different shoulder geometries are investigated in the present work. By using six non-consumable rotating FSW tools, 5 mm thick 6082 – T6 aluminum alloy plates are being welded at different tool rotation speed (600, 800 & 1000 RPM) and tool travel speed (35, 45 & 55). To check the quality of weld, tensile test and micro-hardness test are performed. From those experimental results, it is concluded that shoulder geometry of tool – 3 gave sound and quality weld with 240.42 MPa strength and 60 HV hardness.
EVALUATION OF REGIONAL GROUPING SCHEMES IN INTERNATIONAL BUSINESS RESEARCH : A SIMULATED ANNEALING APPROACH

International business research has long acknowledged the importance of regional factors for foreign direct investment (FDI) by multinational corporations (MNCs). However, significant differences when defining these regions obscure the analysis about how and why regions matter. In response, we develop and empirically document support for a framework to evaluate alternative regional grouping schemes. We demonstrate application of this evaluative framework using data on the global location decisions by US-based MNCs from 1980 to 2000 and two alternative regional grouping schemes. We conclude with discussion of implications for future academic research related to understanding the impact of country groupings on MNC FDI decisions. 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 Research Methodology in Strategy and Management, Volume 4, 161–190 Copyright r 2007 by Elsevier Ltd. All rights of reproduction in any form reserved ISSN: 1479-8387/doi:10.1016/S1479-8387(07)04007-6 161
CPSC 290 Project Report

Recent studies have shown that the stateof-the-art techniques in distributional semantics reflect sensible linguistic features in the vector space; it turns out that we can add word vectors intuitively. These findings encourage us to explore linear relations not just within one language but also across multiple languages. Following up such attempts in the literature, this paper investigates how to relate the vector spaces of English and Italian by a linear transformation. I propose four possible measures, one of which is the one that the researchers have already investigated. For the existing measure, I propose a far more efficient algorithm to solve the optimization problem than the one used by the researchers. For the rest of the measures, I take advantage of methods for a constrained convex optimization problem. The results show that new measures do not improve upon the existing one in terms of the prediction precision. This approach of superposing multiple vector spaces corresponding to different languages yields a certain level of translation accuracy. Although the accuracy should be further improved in the future, this paper demonstrates that cross-lingual word vectorization can be a feasible task. Cross-lingual word vectorization would benefit machine translation and transferred learning, where we train a model in a high resource language and extend it to a low resource language.
MATHERON ’ S CONJECTURE FOR THE COVARIOGRAM PROBLEM

The covariogram of a convex body K provides the volumes of the intersections of K with all its possible translates. Matheron conjectured in 1986 that this information determines K among all convex bodies, up to certain known ambiguities. It is proved that this is the case if K ⊂ R2 is not C1, or it is not strictly convex, or its boundary contains two arbitrarily small C2 open portions ‘on opposite sides’. Examples are also constructed that show that this conjecture is false in Rn for any n 4.
PROFILING FRAMEWORK IN IDENTIFYING CYBER VIOLENT EXTREMISM ( CYBER-VE ) ATTACK

Cyber Violent Extremism (Cyber-VE) attack becomes topped at the international agenda and it still significant and concern to many governments in Southeast Asia and beyond. Cyber-VE becomes a threat to the country as the ongoing increase in online activities by the violent extremists group. The threat of Cyber-VE is still on the rise and the existing counters do not seem to be reducing this attack. Hence, the aim of this paper is to propose a new profiling framework in profiling Cyber-VE activities. This paper integrates between Cyber-VE traces classification and the components of criminology theory. Traces classification is generated through the process of identifying, extracting, and classifying traces. Two types of criminology theory which social are learning theory and space transition theory are used to explain and identify the criminal behavior. Then, both traces classification and criminology theory are integrated in order to develop the profiling framework. The proposed Cyber-VE profiling framework consists of three main processes which are data extraction and classification, Cyber-VE behavior identification, and Cyber-VE profile construction. The proposed profiling framework is evaluated and validated to verify its capabilities in profiling Cyber-VE activities. In experimental approach, the results from the dataset showed that the profiling framework is capable to profile Cyber-VE activities. In expert view, the results showed that the proposed profiling framework able to identify the activities that related to Cyber-VE attack. These findings will be used in helping the investigators in identifying any activities that related to Cyber-VE attack and help in profiling Cyber-VE attack.
Precision Ag for Ecological Farming Systems LandWISE Conference 2010 : Know Your Farm-with Precision Ag . 12-13 May , Havelock North , New Zealand

This paper considers what precision agriculture means and is used for in ecological farming systems. It starts by explaining what ecological agriculture (eco ag) is, why it matters, including how eco ag techniques are increasingly important for mainstream agriculture. It then reviews the main precision technologies used in eco ag, which are mostly for weed management, including GPS and vision based computer guidance systems for interrow hoes. It then discusses how these technologies have created a paradigm shift in this old technology to create a technological platform that facilitates whole new areas of possibilities including discriminatory intrarow weeding and heat-treatment to kill the intrarow weed seedbank. The combination of these techniques now means that complete non-chemical control of all weeds originating from seeds (therophytes [17]) in all annual / biennial crops is now possible.
Serum Total Proteins , Albumin and Magnesium Levels in Pre and Post Antiresorptive Therapy in Postmenopausal Osteoporosis . Can Magnesium Play a Key Role in Osteoporosis ?

Postmenopausal osteoporosis is a very common disease, and approximately half of all women aged above 50 years will experience an osteoporotic fracture during the remainder of their lifetime. The degradation of bone tissue leading to osteoporosis is often silent and unrecognized until a postmenopausal women develops a bone fracture. The costs of medical treatment and subsequent changes in the quality of life of a patient are significant, and avoidance via proper nutrition, exercise and pharmacologic therapy may be the key to decreasing healthcare costs associated with this disease state. Aim: 1) to assess serum concentration of magnesium, total proteins and albumin in postmenopausal osteoporosis women at baseline level and postmenopausal non osteoporosis women. 2) The follow up study to evaluate the impact of specific antiresorptive therapy (Alendronate + calcitriol + calcium)) on bone metabolism in postmenopausal osteoporosis by assaying serum magnesium, total proteins and albumin. 60 postmenopausal women with osteoporosis in the age group 45-60 years and 60 healthy postmenopausal women (normal bone mineral density) in the same age group were included as a control in the study. Mean level of serum magnesium, total proteins & albumin were significantly decreased (P<0.001) in postmenopausal osteoporosis women at baseline level as compared to control group. These levels were increased significantly (P<0.001) post therapy in PMO patients. Trace minerals may be important in maintaining bone quality through their role as metalloenzymes in  Corresponding Author: Dr. Mrs. Vanita Ramesh Jagtap (Ph.D.) 24 Dr. Mrs. Vanita Ramesh Jagtap the synthesis of collagen and other proteins that form the structure of bone. Decreased level of magnesium might be due to the dietary deficiency of magnesium. Serum albumin was decreased in the course of aging particularly in osteoporosis women and inadequate intake of proteins might be the cause of lowered proteins and albumin. Data will be presented suggesting that magnesium and protein deficiency plays an important role in postmenopausal osteoporosis. Adequate protein and magnesium intake and reserve may be the costeffective approach to the prevention and management of postmenopausal osteoporosis.
Measurements of wireless detectors used to monitor animal movements in livestock farms

At present, there is a great interest in monitoring and automating farm animals and livestock farming. There are many systems and methods to check the movement of animals in certain areas. One option is to use motion detectors. However, some installations are so specific that they require the use of wireless motion detectors. They not only have to fulfill their functional part but also have a sufficiently strong signal that should not interfere outside the defined ISM bands. Due to the frequent deployment of different types of these detectors, research has been carried out to monitor shortcomings in frequently used types of wireless detectors. This research defines which tested detectors are fully usable according to the standards and which need to be modified by the manufacturer. Also, based on measurements, the basic risks and recommendations for the use of individual types of tested detectors are defined.
ON THE RHEOLOGICAL BEHAVIOR OF SELF-COMPACTING CONCRETE MORTAR USING DISCRETE ELEMENT METHOD

In this study, the results of simulation on the rheological behavior of Self-Compacting Concrete (SCC) mortar using three-dimensional Discrete Element Method (DEM) are presented. The feasibility of DEM simulation is verified by the observed flow behavior of SCC using two experimental devices, namely the V-funnel test and the L-shaped box test that have been in reduced scale for mortar. By DEM, SCC mortar is modelled by sets of discrete spherical elements. The contact model between the elements contains a number of mechanicsrelated parameters, such as stiffness, viscous damping ratio, friction coefficient, and bond strength. For speeding up the extensive computations required, an in-house discrete objects simulation system, named IRIS, is used to carry out DEM simulations on a distributedmemory cluster system. By choosing appropriate parameters, it is shown that the flow behaviour of SCC mortar experiments can be simulated successfully with DEM.
A DATA MINING APPROACH TO LANGUAGE SUCCESS PREDICTION OF A FEATURE FILM

ABSTRACT The paper aims to develop a tool, which can predict the success of movie being a hit or flop. As this factor is important for everyone involved in the movie, for example : If a movie is flop, it exacerbates the image of actor or director. The tool will use searching algorithms and then use of bespoke system to predict the percentage of success of movie which is yet to be released. This paper details our analysis of the data collected from various resources like IMDb, Kaggle. We gather a series of interesting facts and relationships using a variety of data mining techniques such as Bayes Classification Algorithm, Decision Tree etc. Subsequently, a classifier is learned and used to classify new movies with respect to their predicted box-office collection. Experimental results show that the proposed approach improves the classification accuracy as compared to a fully independent setting.In particular, we discover the rate of success with respect to various parameters such as language, country, budget, Facebook likes of the actors and actresses etc and focus on relevant details such as the relationship between the budget of the movie and rating of the movie, language and rating, facebook likes and rating etc. The data mining techniques used will enable us to uncover information which will both confirm or disprove common assumptions about movies, and also allow us to predict the success of a future film given select information about the film before its release
One-class Field-aware Factorization Machines for Recommender Systems with Implicit Feedbacks

Recommender systems with implicit feedbacks is a typical one-class scenario, where only positive labels are available. Such positive-unlabeled (PU) learning problems can be solved by one-class matrix factorization (OCMF). Recently, OCMF with side information (OCMFSI) on users and items has been proposed as a powerful extension of OCMF. Interestingly, OCMFSI is strongly related to Factorization Machines (FM), which is a general classification and regression model. This link motivates us to investigate if models superior to FM (e.g., Field-aware Factorization Machines) can be effectively extended to PU learning. In this paper, we propose a novel One-class Field-aware Factorization Machines (OCFFM) model. An efficient optimization algorithm is developed such that OCFFM can be trained on the large-scale data sets. Finally, through experiments on four data sets, OCFFM shows its superiority over other one-class models.
P-GIS and disaster risk management : Assessing vulnerability with P-GIS methods – Experiences from Búzi , Mozambique

P-GIS methods and methods addressing vulnerability assessments are currently merging at an interesting focal point. Both terms and fields are under discussion in the scientific world as both concepts ask for clearer definitions, review of its relevance and deeper exploration of methodologies. Within this paper we present the case study of Búzi, Mozambique where P-GIS methods were applied to assess the vulnerability of communities to hazards (focus on cyclones, floods and droughts; Project PRODER-GTZ (2000-present)). Primary data was gathered through participatory approaches applying techniques of semi-structured interviews, transect walks and community mapping. To minimize vulnerability to natural disasters the need for a package consisting of programs for poverty alleviation, prevention measures and preparedness activities was identified which should be realized through external sources under the participation of communities. As an outcome of the overall project a manual on Participatory Disaster Risk Management was compiled. To integrate the broad and interlinked concept of vulnerability, including social and natural issues from the global to the local, and to successfully address the main objectives of P-GIS, to “participate”, empower and represent indigenous spatial knowledge, a common agreement on objectives, methodologies and a strong legal framework is needed. We describe the process of P-GIS within a vulnerability assessment and its legal and regulatory framework. Additionally the relevance of such methods has been evaluated and outcomes will be presented within this paper.
Challenges of Online Services for Older Users

Computers, the Internet and online services have been developed for young educated individuals’ needs and abilities. Online services have become widely accepted and are replacing physical services. This pressure to use online services can be a catastrophe for older adults who are otherwise able to take care of themselves, but are confused by the digital environment. This paper presents a study of older adults who use online banking services and characterizes older users as a competent user group with special features.
Private Deposit Insurance, Deposit Flows, and Bank Lending

We examine the role of private deposit insurance for deposit flows and bank lending during a financial crisis. Exploiting the availability of private deposit insurance to banks in Massachusetts, we show that banks whose deposits are privately insured experience greater deposit inflows and expand lending during the recent crisis, in contrast to banks whose deposits are only federally insured. The deposit inflows are particularly pronounced prior to the increase of the federal deposit insurance limit and the introduction of the Transaction Account Guarantee Program. Our results highlight the complementary role of private sector solutions for the regulatory framework in banking.
How to identify trust and reciprocity

This paper uses a three-games (or triadic) design to identify trusting and reciprocating behavior. A large literature on single-game trust and reciprocity experiments is based on the implicit assumption that subjects do not have altruistic or inequality-averse other-regarding preferences, Such experimental designs test compound hypotheses that include the hypothesis that other-regarding , preferences do not affect behavior. In contrast, experiments with the triadic design do discriminate : between transfers resulting from trust or reciprocity and transfers resulting from other-regarding preferences that are not conditional on the behavior of others. Decomposing trust from altruism and reciprocity from altruism or inequality aversion is critical to obtaining empirical information that can guide the process of constructing models that can increase the empirical validity of game theory. @ 2003 Elsevier Inc. All rights reserved. JEL classification:C70;C91;063; 064