Miracle-dz/UniFAR-FTUs huggingface dataset:
Stereotypical and Non-Stereotypical Representation of Women in Pakistani TV Advertisements

Media considers as the forth pillar of state after Judiciary, Legislature and Executive. Now a days, television is the most accessible and popular source of media. Television creates huge impact on the lives of people as the individual or collective perceptions are concern. There are 3 B‟s of television that, TVBLURS people‟s view of their world, television BLENDS the people‟s realities into the cultural mainstream, and TV BENDS that mainstream reality to its own and its sponsor‟s institutional interests (Gerbner, 1987). Paid commercials/advertisements are the major resource to maintain financial activities of these TV channels. Manufacturing companies make commercials to advertise their products through these TV channels. These advertisements depict the social, cultural, religious, economic, political and environmental attributes of any society to catch-up the attention of viewers through emotional motivation. While making these advertisements, the concept, dialogues and gender representation are really important as the success rate of any advertisement is concern. The success of any advertisement is heavily depends on the social and cultural attributes, that how any ad interpret the social conceptions of that particular society. According to Dominick and Rauch, in one thousand prime time advertisements of different TV channels, women were mostly portrayed as house wives mothers that are performing conventional duties and have less occupational roles as compare to men (1971). Gender representation in these advertisements portrays the social and structural trends that are acceptable in any society. Gender roles in different tv ads also illustrate the daily day duties of men and women that they perform in their practical lives (Huda & Ali, 2015). As the pattern of gender roles are concern, it has the specific indication that presents the particular trends of any society and these trends are showing with different representations in TV ABSTRACT
Effects of nutrient loading and fertilization at planting on growth and nutrient status of Lutz spruce (Picea x lutzii) seedlings during the first growing season in Iceland

The low availability of nitrogen (N) is believed to be one of the major limiting factors of forest regeneration in Iceland and frequently under Boreal conditions. Lutz spruce (Picea x lutzii Littl.) seedlings were nutrient loaded using four fertilization regimes in the end of nursery rotation in autumn 2008 and planted in the following spring, with or without a single dose of fertilizer, on two treeless sites in N-Iceland with contrasting soil fertility. Measurements were made after one growing season. The highest loading level without additional field fertilization increased new needle mass by 122% and 152%, for the poor and more fertile site, respectively. The highest loading level with field fertilization increased new needle mass equally, by 188% and 189%, for the poor and more fertile site, respectively. Retranslocation of N, from old needles to current needles, increased with more loading. However, it was clear that nutrient loading could not replace field fertilization, as the seedlings generally showed an additive response to field fertilization and nutrient loading; doing both always gave the best results in seedling performance. As the study only covers field establishment during the first year, the long-term effect of nutrient loading of Lutz spruce cannot be predicted. However, it was concluded that loading might provide an additional input for faster plantation establishment during the first growing season after planting.
ANALYTIC HIERARCHY PROCESS WITH FIREFLY ALGORITHM FOR SUPPLIER SELECTION IN IT PROJECT OUTSOURCING

Nowadays, most organizations have adopted IT outsourcing (ITO) into their main business strategy as it promises several benefits such as cost reduction, staff ability improvement and technology enhancement. Supplier selection is a key essential process in ITO. Unfortunately, supplier selection is a complex decision-making process as the evaluation involved with multi criteria and each criterion carries a different weight. Usually, the weight for each criterion is assigned by experts which might introduce uncertainty, bias, and opaqueness. Therefore, this paper proposed a hybrid method that aimed to eliminate human roles in determining evaluation criteria weight during supplier selection process. The method was designed by integrating Firefly Algorithm (FA) into Analytic Hierarchy Process (AHP) and termed as Firefly Algorithm Analytic Hierarchy Process (FAHP). It is operationalized on three datasets which were obtained from the referenced literature. Experimental results showed that the obtained Consistency Ratio (CR) value (i.e. 0.001) and Sum of Bias (SB) value (i.e. 0.351) are very close to zero. These findings show that the proposed FAHP is feasible to identify relevant supplier even though the criteria weight was determined without human involvement. Such an approach reduces human bias throughout AHP synthesis process. Consequently, the obtained weights were the optimal solution that can be adopted in the supplier selection problem.
MODIFIED FAST GRAY LEVEL GROUPING APPROACH FOR ENHANCING IMAGE CONTRAST

Images with low contrast may have intensity properties that make it difficult to use the traditional algorithms and approaches to enhance its contrast. Image’s histogram may contain high frequency values in specific area in the image and low frequency in the remaining area. That leads to inconsistency in the histogram and results in image with unacceptable contrast. Two algorithms are proposed to solve this problem, namely MFGLG and ACEIF/MFGLG approaches. The first approach is Modified Fast Gray Level Grouping (MFGLG). It is a modification of Fast Gray Level Grouping (FGLG). MFGLG uses two sets of gray level bins and uses them as a startup bins assigned to the histogram. The proposed approach results in more efficient contrast enhancement compared to FGLG. The algorithm has no user intervention. Moreover, the proposed algorithm can be applied to vast range of contrast perturbed images. It also can be applied to images with the highest frequency in the histogram concentrated in any image location. The second approach is Automatic Contrast Enhancement Image Fusion based on Modified Fast Gray Level Grouping (ACEIF/MFGLG). With ACEIF/MFGLG, the output of MFGLG is fused with the original image to get more detailed image. The original image is used to provide more accurate contrast and intensity. The proposed two approaches are applied on low-contrast images and provides high quality images. The algorithm can be applied without human intervention with acceptable speed compared to the other methods in literature.
USERS COMPETENCE AND INFLUENCE ON THE QUALITY OF ACCOUNTING INFORMATION SYSTEM

The purpose of this paper is to know that the effect on the user Competence Accounting Information Systems. Terori based on the description of the above it can be concluded that the competence of the user affects the quality of accounting information systems. Therefore, the quality of accounting information system can be further enhanced by more priority to the competence of the factors that these factors become important when the information system was created and developed. With demikiam exposure based on the results of the above it can be concluded that in order to develop the science of accounting, especially accounting information systems, this research has been in accordance with the hypothesis that the competence variables affect the quality of the information system
Imaging Fracture Zones at Eleven-Mile Canyon Using Anisotropic Least-Squares Reverse-Time Migration

Accurate imaging of fracture zones is crucial for geothermal energy exploration. Fracture zones and most geologic formations behave as anisotropic media for seismic-wave propagation. Properly accounting for subsurface anisotropic properties is essential for high-resolution imaging of fracture/fault zones for geothermal exploration. We develop a novel anisotropic least-squares reverse-time migration method for reliable imaging of fracture zones. The method employs an efficient implicit wavefield-separation scheme to reduce image artifacts and improve the image quality. We verify the capability of our new imaging method using synthetic data for a geophysical model of the Eleven-Mile Canyon site in Nevada containing several fracture/fault zones. We apply our new method to seismic data acquired along five 2D lines at Eleven-Mile Canyon for geothermal energy exploration. Our imaging results demonstrate that our new anisotropic leastsquares reverse-time migration improves image resolution and reduces image artifacts.
Secure File Storage in Cloud Computing Using Dual Server Encryption and Decryption Techniques

— Searchable encryption is of increasing enthusiasm for guaranteeing the advantage safeguard in comfortable available distributed storage. In the course of this work, we are likely to compare the safeguard of an outstanding cryptologic crude, to be unique Public Key Encryption with Keyword Search (PEKS) that's terribly useful in more than a few makes use of-of allotted storage. Sadly, it's been incontestable that the normal PEKS structure experiences a characteristic uncertainty referred to as inside keyword Guessing attack (KGA) propelled through the malignant server. To control this security weak spot, we are likely to suggest one more PEKS constitution named twin-Server Public Key Encryption with key phrase Search (DS-PEKS). As yet another long-established obligation, To delineate the likelihood of our new process, we are likely to supplies an informed intellectual illustration of the total structure from a DDH-founded LH-SPHF and show that it's going to accomplish the stable protection towards inside KGA.
Health-Oriented Abnormality Detection and Alert Generation (HOADAG) framework for the Custodians of Autistic Patients

: One of the greatest difficulties in modern societies is the improvement of healthy living. The main purpose of this paper is to support those persons who they are mentally weak also for some reasons in their daily activities. Abnormal health activity detection is a noteworthy challenge in the healthcare domain, especially for those who they are not well mentally as well. So, auspicious and dependable observation is important to alleviate the negative impacts of these exercises on their lives. This paper describes and clarifies the ideas of novel healthcare-based abnormal activity detection framework for autistic patients in view of recordings sensors like cameras or video recorders. The framework screens the position and the actions of those children perceive the exercises from the ordinary day by day exercises by an algorithm, which we plan for this framework. Our system consequently sends an alert for help to the custodians of autistic patients with the patient's present state.
Of fungi and men: role of fungi in pancreatic cancer carcinogenesis

Department of Preventive Dentistry, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and VU University Amsterdam, Amsterdam, The Netherlands; Fondazione Pisana per la Scienza, Pisa, Italy; Department of Medical Oncology, VU University Medical Center, Amsterdam, The Netherlands These authors contributed equally to this work. Correspondence to: Elisa Giovannetti, MD, PhD. Associate Professor of Pharmacology, Amsterdam University Medical Centers, VU University Medical Center, Lab Medical Oncology, Department of Medical Oncology, Cancer Center Amsterdam, CCA Room 1.52, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands. Email: elisa.giovannetti@gmail.com. Provenance and Peer Review: This article was commissioned and reviewed by the Section Editor Le Li (Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, China). Comment on: Aykut B, Pushalkar S, Chen R, et al. The Fungal Mycobiome Promotes Pancreatic Oncogenesis via Activation of MBL. Nature 2019;574:264-7.
Nomenclature of Saccharopolyspora erythraea Labeda 1987 and Streptomyces erythraeus (Waksman 1923) Waksman and Henrici 1948, and Proposals for the Alternative Epithet Streptomyces labedae sp. nov.

The correct citation for the taxon represented by the type strain ATCC 11635 is Saccharopolyspora erythraea (Waksman 1923) Labeda 1987. The name Streptomyces erythraeus used with the type strain NRRL B-5616 is illegitimate, and the name Streptomyces labedae sp. nov. is proposed for this taxon.
Molecular differentiation of the microgastrine species commonly found in paddy fields from Southeast Asia, with additional data on their phylogeny (Hymenoptera: Braconidae)

Abstract Partial DNA sequences of three genes, that is, mitochondrial large ribosomal subunit (16S), nuclear large ribosomal subunit (28S D2) and mitochondrial NADH1 dehydrogenase (NADH1) gene, were sequenced from different micro gastrine species (Braconidae: Micro gastrinae) collected fresh from paddy fields. The DNA sequences were used to determine the extent of sequence variation among species in order to evaluate the specific status of each species. Cladistic analysis was also used to infer a phylogenetic relationship among these species. The results showed that sequence divergence among species of the same genus Cotesia was much lower than those among different genera, such as Cotesia, Exoryza and Apanteles; the sequence similarity of 16S rDNA andNADH1 genes between Cotesia sp. and C. chilonis was higher than that between C. sp. and C. ruficrus. Phylogenetic analyses suggested that four species of Cotesia were always grouped in the same clade regardless of using different analysis methods; Cotesia sp. and C. chilonis are more closely related to each other than to C. ruficrus, different from previous morphological results. Additionally, sequence analyses indicated that NADH1 gene has more parsimony informative characters than 28S rDNA D2 and 16S rDNA at the species‐level analysis, indicating that NADH1 gene might be a useful marker for species‐level analysis.
A large-effect QTL for grain yield under reproductive-stage drought stress in upland rice.

Genetic control of yield under reproductive-stage drought stress was studied in a population of 436 random F 3 -derived lines from a cross between the upland rice (Oryza sativa L.) cultivars Vandana and Way Rarem. Screening was conducted under upland conditions at IRRI during the dry seasons of 2005 and 2006. Lines were evaluated in drought stress and nonstress trials in both years to identify QTL contributing to drought resistance. For QTL detection, a set of random lines and the highest and lowest-yielding lines under both stress and nonstress conditions were genotyped by 126 SSR markers. A QTL (qtl12.1) with a large effect on grain yield under stress was detected on Chromosome 12 in both years. The whole population was genotyped for additional markers on Chromosome 12, allowing QTL localization to a 10.2 cM region between SSR markers RM28048 and RM511. Under stress conditions, the locus also increased harvest index, biomass yield, and plant height while reducing the number of days to flowering. Under nonstress conditions, qtl12.1 did not significantly affect any trait. The additive effect of this QTL on grain yield under stress was 172 kg ha-1 per year over the 2 yr of testing, representing 47% of the average yield under stress and explaining 51% of the genetic variance. The yield-increasing allele was derived from the susceptible parent, Way Rarem, suggesting an epistatic effect. This is the first QTL reported in rice having a large and repeatable effect on grain yield under severe drought stress in the field.
Text Categorization using Topic Signature and Co-occurrence Features

요 약 본 논문에서는 문서 내에서 동시에 출현하는 단어 쌍을 자질 추출 단위로 하는 문서 범주화 시스템에 대 하여 기술한다. 자질 추출 단위를 단어 쌍으로 정의한 것은 문서에서 빈번하게 동시에 출현하는 단어들 은 서로 연관관계가 높으며, 단어 하나보다는 연관관계가 높은 단어들의 쌍이 특정 범주의 문서에서만 나타날 확률이 높아지므로 문서 분류 능력을 높이는데 좋은 요인으로 작용할 수 있을 것이라는 가정 때 문이다. 그리고 문서 요약 분야에서 제안된 Log-likelihood Ratio를 기반으로 하는 Topic Signature Term Extraction 방법을 사용하여 자질 추출을 하고, Naïve Bayes 분류기를 이용하여 문서를 분류한다. 본 연 구는 Reuters-21578 문서 집합을 이용한 성능평가에서 좋은 결과를 보였으며, 이는 앞으로의 연구에도 기여할 수 있을 것이라 기대한다.
Stoichiometry of potassium is largely determined by water availability and growth in Catalonian forests

Summary The study of the relationships between organisms and environmental elemental stoichiometry and ecosystem structure and function has recently received increasing attention. Some elements, however, have been less studied or have even been neglected. One of these elements is K, despite its critical importance in the water economy of plants. We hypothesized that K concentrations and especially K contents (concentrations × biomass), their stoichiometries with respect to C, N, and P contents, and their relative allocations to foliar and woody compartments would be linked to climatic gradients in the availability of water, forest type and growth. We tested this hypothesis by analysing the data set of the Catalan Forest Inventory. Evergreens, the type of tree with the slowest growth, showed the highest K contents, especially in wood, and the lowest plasticity to change the stoichiometry of K within and between foliar and woody biomasses along climatic gradients. The allocation of K to leaves in relation to the allocation of C, N and P increased with mean annual precipitation (MAP) and was concomitant with decreases in the allocation of K to wood in relation to the allocation of C, N and P (higher K:CL/W, K:NL/W and K:PL/W). In summer, the driest period, higher K:C, K:N and K:P content ratios in leaves were accompanied by lower K:C, K:N and K:P content ratios in wood, mainly in the species at the driest sites. Higher K:C and K:N content ratios in leaves and above-ground biomass in all forest types, and higher K:CL/W and K:NL/W in conifers and deciduous trees were related to higher growth. K contents of leaves were better correlated with tree growth than were K concentrations of leaves in all forest types. These results show that the stoichiometry of K is strongly related to the availability of water and that the uptake of K is more related to the uptake of water than the uptake of N and P. Stoichiometric differences involving K are related to both the response of plants to drought and to plant growth. K thus plays a key role, together with N and P, in the response of plants to climatic gradients for improving the capacities for growth and adaptation to water stress along environmental gradients and through time (seasons). Moreover, these results show that the differences in stoichiometric composition and plasticity involving K contents can underlie the long-term adaptation of trees to different ecological styles of life. K should thus be considered in ecological stoichiometric studies of terrestrial plants.
Electrical Load Forecasting using SVM Algorithm

Electrical load demand is variable in nature. Also, with the increase in technological development and automation, electric load demand tends to rise with time. For this, our generation facilities should be adequate 24x7 to meet the consumer’s load demand effectively. Therefore, load demand needs to be predicted or forecasted to avoid the energy crisis. In this paper, support vector machine (SVM) algorithm is explored for electric load forecasting. The live load data for the period of three months i.e., January to March, 2015, from a typical 66kV sub-station of the Punjab State Power Corporation Limited (PSPCL) for a selected site at Bhai Roopa sub-station, Bathinda, situated in the Punjab state of India, is acquired for the presented simulation study. The collected live data is divided into three categories, i.e., validation, training, and testing for the simulation study considering a SVM approach. Then, based on the environmental data input for the next 50 hours, the electric load is predicted. The obtained results from simulation were validated with the live load data of the selected site and found to be within the permissible limits. The mean square error (MSE), root-mean-square error (RMSE), mean absolute error (MAE), absolute percentage error (APE), mean absolute percentage error (MAPE) and sum of squares error (SSE) were calculated to show the effectiveness of the proposed support vector machine (SVM) algorithm based STLF. SVM is one of the effective machine learning algorithms. The errors so obtained clearly suggest that the proposed SVM algorithm gives reasonably accurate results, and is reliable for electric load forecasting.
Object Classification and Detection using Deep Convolution Neural Network Architecture

X-Ray security stuff screening frameworks are generally introduced in pretty much every station/air terminal to guarantee open vehicle security. In any case, the unwavering quality of manual recognition has been bothersome in genuine circumstances. For a stuff screener, recognizing the precluded things is typically so arduous and exhausting that missing some undermining things is unavoidable by and by. Particularly, in times of heavy traffic, travelers ordinarily take a great deal of time hanging tight for security checking in line. A solid programmed disallowed thing location framework is subsequently ideal for accelerating the screening procedure just as improving the precision of risk identification. X-Ray age is identified with the arrival vitality of the electrons when they arrive at the material, which is an element of the voltage of the material and the vitality of the electron bar. By estimating the XRay discharge and knowing the vitality of the electron pillar, the voltage of the material can be resolved. An information growth strategy for enhancing the X-Ray denied thing pictures utilizing GAN based methodology. In the first place, the forefronts containing precluded things are removed by a Region of Interest (ROI) division calculation from the gathered X-Ray security pictures. At long last, to confirm whether the created pictures have a place with its comparing class or not founded on the basic CNN model.
Modeling and Analysis of Hybrid Distributed Generation System using Homer Software

The source of electrical supply are diesel generators which release carbon dioxide (CO2) resulting in environmental pollution and it is costly too for domestic consumers in rural zones. So, the need of an hour is to improve and provide efficient energy supply for rural areas in present scenario. Hybrid Smart grid is an example of power system through distributed resources attending the whole community as an independent electrical island with the bulk power system. After knowing overall loads result for this selected load we simulate this data through HOMER (Hybrid Optimization Model for Electrical Renewable) tool. Using HOMER software, the goal is to maximize energy output with least cost of energy from distributed energy resources (DERs) by optimization. Each section of model performance will be evaluated and at different conditions, sensitivity analysis will be performed for optimizing the system.
A Critical Discourse Analysis of the Representation of Iraq in Media Discourse (Newspaper Headlines)

The current study aims to investigate the representation of Iraq in newspapers headlines. It investigates how the newspapers headlines had covered the Iraq – ISIS conflict. 48 headlines (data collection) were collected from two different newspapers; twenty-four headlines from an Iraqi newspaper Alsabah Newspaper and twenty-four headlines from an international newspaper AlQuds Al-Arabi Newspaper. The data were sampled and analyzed using the Ideological Square which was proposed by van Dijk (1998, 2006). The findings revealed that the sampled headlines of these two newspapers show different underlying ideologies in addressing the Iraq – ISIS conflict. It concluded that the headlines of every newspaper expressed their ideologies in a positive representation (US) and a negative representation (Them).