Miracle-dz/UniFAR-FTUs huggingface dataset:
Mnemotechnics : Some Limitations of the Mnemonic Keyword Method for the Study of Foreign Language Vocabulary

The effectiveness of the mnemonic keyword method was examined in four experiments with college students learning lists of 24-32 pairs of Spanish nouns and their English equivalents. The first three experiments, in which the lists were presented for periods of free study, yielding the following results: (a) The keyword condition, with keywords supplied by the experimenter, was similar or somewhat inferior to the control conditions both in the SpanishEnglish (forward) and in the English-Spanish (backward) direction; (b) the keyword condition was clearly inferior to controls when students were required to generate keywords; (c) keyword and control conditions were similar in retention over 1 week. In Experiment 4 the keyword method was superior to the control condition with successive, experimenter-paced presentation but inferior with free-study presentation; free study was markedly superior to paced presentation for both keyword and control conditions. Implications for the further study and application of the keyword method, and mnemotechnics more generally, are discussed.
Design Smart Games with context , generate them with a Click , and revise them with a GUI

adaptive learning system user-centered design game design game framework temporal constraint problems automated reasoning natural language generation natural language processing pedagogy. TERENCE is an FP7 ICT European project that is developing an adaptive learning system for supporting poor comprehenders and their educators. Its learning material are books of stories and games. The games are specialised into smart games, which stimulate inference-making for story comprehension, and relaxing games, which stimulate visual perception and not story comprehension. The paper focuses on smart games. It first describes the TERENCE system architecture, thus delves into the design of smart games starting from the requirements and their automated generation, by highlighting the role of the reasoning module therein. Finally, it outlines the manual revision of the generated smart games, and ends with short conclusions about the planned improvements on the automated generation process.
USING ELECTROMYOGRAPHY OF FIVE MUSCLES AND JOINT ANGLE TO PREDICT KNEE JOINT MOMENT

Forces and moments acting on joints is of great importance in different fields of biomechanics such as ergonomics, sports biomechanics, and rehabilitation. EMG-driven models can be used to estimate forces and moments acting on joints. The current study aimed to propose a model for prediction of knee joint moment using EMG signals detected from muscles and knee joint angle. Electromyography of knee muscles, knee joint angle and moment were recorded simultaneously during the extension-flexion movement in three young men using an isokinetic system. The model for estimating knee joint moment was developed using multiple linear regression. In order to calibrate and validate the model, new data was entered into the model and the estimated moment was compared with the measured moment. The model estimated knee joint moment with an acceptable accuracy, so that coefficient of determination (R2) was between 0.9 and 0.95.
Reciprocal roots of metabolic syndrome and affective disorder : Temperamental , familial and environmental factors such as climate , geography , migration and changeable life styles

As current classification systems make cross-sectional diagnosis, they do not take into account family history, longitudinal course features and dimensional approach to symptoms. This approach gives precedence to reliability over validity and it isolates psychiatric disorders from their etiologies. In fact, a spectrum model which includes physical diseases is possible. This continuity is also observed in the family history. Comorbidity of affective disorders, Carney syndrome, Multiple Endocrine Neoplasia type I and II, breast and prostate cancers, carcinoid tumors, and vascular diseases may be mediated by metabolic syndrome via the interaction of genetic and environmental factors.
Spatiotemporal Regulation of Atg1 Kinase Activation in Selective Autophagy

Autophagy is a potent intracellular degradation system and thus its activation requires exquisite regulation to maintain cellular homeostasis. Atg1, a serine-threonine protein kinase, is essential in both selective and non-selective autophagy. New findings suggest that in selective autophagy, Atg1 is activated at the vacuole by convergence of two independent recruitment pathways to prevent aberrant autophagy induction. Background and Significance. Autophagy is a powerful cellular degradation pathway that responds to various cellular stresses such as nutrient starvation (Takeshige et al., 1992). In addition to the non-selective bulk autophagy, there are selective types of autophagy that are finely regulated by specific cargo receptors, which link cargos to the autophagic machinery (Scott et al, 2001; Chang and Huang, 2007; Stolz et al., 2014). One clear example of selective autophagy in yeast is the cytoplasm-tovacuole (Cvt) pathway, which is responsible for the delivery of the hydrolase aminopeptidase 1 (Ape1) from cytosol to the vacuole (Baba et al., 1997; Shintani and Klionsky, 2004; Nakatogawa et al., 2009). Autophagy is controlled by highly conserved autophagy-related (Atg) proteins, of which 15 proteins are commonly required for both non-selective and selective autophagy (Tsukada and Ohsumi,1993; Klionsky et al, 2003; Nakatogawa et al., 2009). Atg1, a serine and threonine protein kinase, plays an essential role in both starvation-induced autophagy and Cvt pathway, and its activity is positively regulated by Atg13, the other protein involved in both autophagy pathways (Funakoshi et al, 1997; Matsuura et al, 1997; Kamada et al, 2000). However, how the cell activate Atg1 kinase activity in space and time still remains unclear. Atg11, a critical protein for selective autophagy in yeast, functions as a scaffold protein that interacts with cargo receptor Atg19 for the Cvt pathway (Scott et al, 2001; Yorimitsu et al, 2005; Shintani and Klionsky, 2004; Nakatogawa et al., 2009). Atg19 interacts with both cargo protein Ape1 and scaffold protein Atg11 to bridge Ape1 to Atg11. Atg11 interacts with other early members of the autophagic machinery including Atg1 at the pre-autophagosomal structure (PAS), the initial site for Atg proteins recruitment, allowing subsequent Cvt vesicle formation and autophagy induction (Shintani and Klionsky, 2004). How Atg11 and cargo receptors
Something of a Paradox: The Neglect of Agriculture in Economic Development

This paper argues that investment in agriculture has a large and continuing developmental importance in terms of both economic growth and poverty reduction. Moreover, targeted public resources have proven to be indispensable in achieving these results. Both arguments are supported with novel analyses which update and strengthen the traditional case for agriculture-led development with public-sector involvement. But despite the strong case for agriculture-led development strategies, the authors find that the financial resources allocated towards this sector have strongly declined over the last three decades, and they suggest that a shift towards new development paradigms since 1980 might be a significant explanation for this apparent Agricultural Paradox. This conjecture is tested with data on foreign aid, public expenditure, PRSP contents, and empirical analyses of the intellectual resources devoted to the study of agriculture in development by World Bank researchers. The authors conclude with a critical discussion of these disturbing trends.
Adaptations of the Motor System in Animal Models of Spinal Cord Injury and Disuse

More than 1.3 million patients are currently living with a spinal cord injury (SCI) in North America (Reeve Foundation). There is no cure for SCI although recent advances in acute care interventions (e.g., removal of bone fragments, decompression, anti-inflammatory drugs) have increased survival and reduced neurological dysfunctions (Baptiste & Fehlings, 2007). Accordingly with the American Spinal Injury Association (ASIA) guideline, tetraplegic (cervical lesions) and paraplegic (thoracic lesions or below) patients are classified either as ASIA-A, ASIA-B, ASIA-C or ASIA-D (see Table 1). Quadriplegia also called tetraplegia is when a person has a SCI within the cervical area which results in paralysis of all four limbs. In addition to the arms and legs being paralyzed, the abdominal and chest muscles will also be affected which result in weakened breathing and the inability to properly cough and clear the chest. Paraplegia is when the level of injury occurs at the thoracic level or lower. Although they typically experience leg movement and abdomen problems, paraplegics can use their arms and hands.
Modelling Two Dimensional Affected Regions by “Seca” Disease with Proximity Diagrams

In this work we propose a mathematical model to determine the potentially propagation areas of the Mediterranean Quercus disease commonly referred to as “seca” in specific areas of Extremadura. To do it we will use optimal computational geometry algorithms based on proximity diagrams that permit to design a pathogen transmission map and to determine causing agents.
ON THE CLASSIFICATION OF IRREGULAR SURFACES OF GENERAL TYPE WITH NONBIRATIONAL BICANONICAL MAP

The present paper is devoted to the classification of irregular surfaces of general type with pg > 3 and nonbirational bicanonical map. Our main result is that, if S is such a surface and if S is minimal with no pencil of curves of genus 2, then S is the symmetric product of a curve of genus 3, and therefore pg = q = 3 and K2 = 6. Furthermore we obtain some results towards the classification of minimal surfaces with pg = q = 3. Such surfaces have 6 < Kz < 9, and we show that Kz = 6 if and only if S is the symmetric product of a curve of genus 3. We also classify the minimal surfaces with pg = q = 3 with a pencil of curves of genus 2, proving in particular that for those one has Kz = 8.
Clinical study of adjuvant therapy on ischemic stroke with salviae miltiorrhizae and ligustrazine

Objective: To study the effect of adjuvant therapy with salviae miltiorrhizae and ligustrazine injection on neural function injury, degree of oxidative stress reaction, chemotactic factor and adhesion molecule in patients with ischemic stroke. Methods: Patients with ischemic stroke admitted in our hospital from August 2013 to October 2015 were retrospectively analyzed and divided into conventional treatment (CT) group receiving conventional treatment and traditional Chinese medicine auxiliary (TCMA) group receiving adjuvant therapy with salviae miltiorrhizae and ligustrazine injection. After the treatment of the first month and the third month, serum was collected to detect the contents of nerve injury molecules, oxidative stress parameters, chemotactic factor and adhesion molecule. Results: After the 4-week treatment, the contents of serum neuron specific enolase, S100 calcium-binding protein B, heart-type fatty acid binding protein, malondialdehyde, advanced oxidation protein products, 8-hydroxy-2'-deoxyguanosine, monocyte chemoattractant protein-1, CD40, CD40 ligand, vascular endothelial cadherin, soluble intercellular adhesion molecule 1 and soluble vascular adhesion molecule 1 in patients of TCMA group were all significantly lower than those of CT group, and the contents of superoxidase dismutase, glutathione peroxidase and catalase were significantly higher than those of CT group. After the 8-week treatment, the contents of serum neuron specific enolase, S100 calcium-binding protein B, heart-type fatty acid binding protein, malondialdehyde, advanced oxidation protein products, 8-hydroxy-2'-deoxyguanosine, monocyte chemoattractant protein-1, CD40, CD40 ligand, vascular endothelial cadherin, soluble intercellular adhesion molecule 1 and soluble vascular adhesion molecule 1 in patients of TCMA group were all significantly lower than those of CT group and the contents of superoxidase dismutase, glutathione peroxidase and catalase were significantly higher than those of CT group. Conclusions: Adjuvant therapy with salviae miltiorrhizae and ligustrazine injection can alleviate the neural function injury, inhibit oxidative stress reaction and the generation of chemotactic factor and adhesion molecule in patients with ischemic stroke, which is an effective medicine for treating ischemic stroke.
Phytoremediation of Lead Contaminated Soil by using Sorghum Bicolor

Heavy metal pollution in the soils is increasing due to the industrialization, urbanization and transportation. Lead pollution in the urban areas is increased due to increased number of vehicles on the roads. The heavy metal lead is a non-biodegradable and easily enters into the food chain. From the food chain, they accumulate into human bodies causing many health abnormalities. The present study deals with phytoremediation of soil by Sorghum bicolor (jowar) seeds. The ability of plants to extract the metals from the soil and ability of plant to move the metals to aerial parts of plant are expressed as Bioaccumulation factor ((BCF) and translocation factor (TF) respectively. The percentage removal of Sorghum bicolor plants are given in the study. The physicochemical characteristic of soils is evaluated before and after phytoremediation. Present study revealed that Sorghum bicolor is a phytoextractor and it is suitable phytoextraction process.
Heritable Variation in Responsiveness to Photoperiod, Reproduction, and Immune Function in a Population of Peromyscus leucopus

While neuroendocrine variation is presumed to be important for brain function and natural selection, very little is known about wild-source heritable variation. Within wild populations of rodents living in temperate zones, some individuals respond strongly to changes in environmental conditions, such as photoperiod, while others do not. Changes in photoperiod are assessed by changes in the duration of melatonin secretion. Melatonin affects many physiological processes, such as the stimulation or inhibition of reproduction, changes in body weight and food intake, and changes in immune function. Immune cells can respond to melatonin with circadian and seasonal changes in function. In this honors thesis, I tested whether differences in neuroendocrine signaling pathways that regulate reproduction are related to differences in immune function in both long-day and short-day photoperiods. For experimental subjects, I used two lines of wild-source Peromyscus leucopus that had previously undergone artificial selection for either strong reproductive response to short-day photoperiod or no response. I measured the amount of inflammation in response to a delayed-type hypersensitivity reaction on one of the pinnae of each mouse to measure immune function. In the Run 1, mice in the short-day photoperiod had significantly enhanced delayed-type hypersensitivity responses relative to mice in long-day photoperiod. In the data from Run 1, mice from the non-responsive line in short-day photoperiod had
Determinants of Community-Based Sponsorship Impact on Self-Congruity

Sponsors increasingly shift from large professional to community-based properties, as these can deliver an engaged audience and enable sponsors to demonstrate their corporate social responsibility (CSR). This research comprises two studies and shows that community-based sponsorship may improve CSR image and, in turn, self-congruity, a key determinant of consumer behavior. Study one investigates perceived sponsor-club fit, confirming attitude and corporate positioning similarity as relevant predictors. Importantly, CSR image similarity does not impact fit, suggesting sponsorship opportunities for organizations independent of their initial CSR image. Study two shows perceived sponsor CSR image to mediate the relationship between the perceptions of a community-based property’s CSR image and consumers’ self-congruity with the sponsor. While perceived sponsor-club fit and sponsorship awareness moderate the relationship between property and sponsor CSR image, attitudes toward CSR moderate the association between sponsor CSR and self-congruity. The paper concludes with implications and future research directions.
‘If It Ain’t Broke, Don’t Explain It’: The Influence of Visual and Verbal Information about Prior Use on Consumers’ Evaluations of Refurbished Electronics

Abstract Refurbishment presents opportunities for designers to improve the sustainability of new and old products via an experiment and post hoc interviews, this research investigates and explores how information about prior use – offered in a visual (signs of wear and tear) or verbal (textual description) form – influences consumers’ evaluations of refurbished products. The findings show that visual information about prior use has a negative effect on consumers’ evaluations of refurbished electronics. Furthermore, presenting consumers with verbal information on prior use can negatively affect consumers’ evaluations of a refurbished product if no signs of wear and tear are present because it confuses consumers. If signs of wear and tear are present, verbal information about prior use will not influence consumers’ evaluations.
Infrared Target Detection and Location for Visual Surveillance Using Fusion Scheme of Visible and Infrared Images

The main goal of image fusion is to combine substantial information from different images of the same scene into a single image that is suitable for human and machine perception or for further image-processing tasks. In this study, a simple and efficient image fusion approach based on the application of the histogram of infrared images is proposed. A fusion scheme to select adaptively weighted coefficients for preserving salient infrared targets from the infrared image and for obtaining most spatial detailed information from the visible image is presented. Moving and static infrared targets in the fused image are labeled with different colors. This technique enhances perception of the image for the human visual system. In view of the modalities of infrared images, low resolution, and low signal-to-noise ratio, an anisotropic diffusion equation model is adopted to remove noise and to effectively preserve edge information before the fusion stage. By using the proposed method, relevant spatial information is preserved and infrared targets are clearly identified in the resulting fused images.
Incineration of organic solar cells : Efficient end of life management by quantitative silver recovery

Recovery of silver from the electrodes of roll-to-roll processed organic solar cells after incineration has been performed quantitatively by extraction with nitric acid. This procedure is more than 10 times faster than previous reports and the amount of acid needed for the extraction is reduced by a factor of 100–150. LCA studies show that the resulting environmental impacts from silver extraction of incinerated ashes are more favourable on almost all standard factors compared to extraction from shredded organic solar cells. The so lessened environmental impacts by efficient recovery fully justify the use of Ag as an electrode in scaled production of organic solar cells.
Defense Mechanisms in Mobile Ad-hoc Networks

One of the most important issues for mobile ad-hoc Networks (MANETs) is Security. The feature of MANETs posture both difficulties and openings in accomplishing security objectives, for example, privacy, validation, respectability, accessibility, control of access, and non-repudiation at the end. The techniques of Cryptographic are generally utilized for secure interchanges in wired and remote systems. Most mechanisms of cryptographic, for example, symmetric and asymmetric cryptography, frequently include the utilization of cryptographic keys. Nevertheless, every single cryptographic method will be useless if the management of the key is feeble. The Management of Key is additionally a focal segment in MANET security. The motivation behind key management is to give secure strategies to taking care of cryptographic keying materials.
Reduction of False Alarm Rate by using K-NN and Naive Bayes: A Review

Interruption location is basic in orchestrate security. Most present framework interruption location structures (NIDSs) employ either misuse recognition or anomaly discovery. In any case, misuse recognition can't recognize darken interruptions, and anomaly location generally has high false positive rate. To overcome the imperatives of the two techniques, they intertwine both anomaly and misuse recognition into the NIDS. This paper presents a hybrid interruption recognition framework based on the combination of k-Means and two classifiers which are K-nearest neighbor and Naive Bayes. This paper includes picking features using an entropy based segment assurance computation that uses imperative properties and expels the irredundant qualities. The whole observation in this study is performed on KDD-99 Data set which is accepted at world level for surveying execution of various interruption recognition frameworks. The consequent stage is grouping stage using k-Means. The proposed framework can recognize all interruptions and categorize them into four segments: Denial of Service, User to Root, Remote to nearby and test. The main goal is to minimize the false ready rate of IDS.
THE FINANCIAL MARKET OF UKRAINE AND THE ROLE OF FOREIGN DIRECT INVESTMENT

Abstract. The main objective of this paper is to investigate the characteristics of the institutional structure of the Ukrainian financial market and to analyze the impact of foreign direct investment on it. The following methods of research were used by the authors: economic-statistical, tabular, and comparative (in empirical analysis; to make comparisons across different types of financial institutions, to investigate and evaluate the volumes of foreign direct investment by countries and their relation to the size of the domestic financial sector); systematic and logical (determining and analyzing the scope of the positive and negative effects of foreign investment on the financial market of Ukraine). The conclusions are as the follows: the structure of the financial market of Ukraine is rather nonbalanced and fragile; most foreign investors have changed their strategies on the Ukrainian financial market from aggressive to share-keeping; more attention should be paid to the development of the constructive policy concerning FDI to ensure the stability and even the development of the domestic financial market as well as to raise its investment attractiveness. Key words: financial market, commercial bank, non-bank financial institutions (NBFIs), foreign investment, investment attractiveness
Extensions of isometrically invariant measures on Euclidean spaces

We consider countably additive, nonnegative, extended real-valued measures that vanish on singletons. Given a group G of isometries of R n and a G-invariant σ-finite measure on R n we study the problem of determining whether it has a proper G-invariant extension. We prove that it does, provided that the set of all points with uncountable G-orbits is not of measure zero. We also characterize those groups G for which every G-invariant σ-finite measure on R n has a proper G-invariant extension