Miracle-dz/UniFAR-FTUs huggingface dataset:
Title Chapter 10 The cyclic model of learning : An atte mpt based on the DBR in an EFL context

The purposes of this paper are to (a) elaborate on the Cyclic Model of Learning (CML; Takeuchi, 2007), which was formed based on the four phases of the design-based research (DBR) framework (Amiel & Reeves, 2008); (b) to put the model into practice through use of technology in the field of EFL teaching; and (c) to examine how the CML-based teaching practice influences students’ English ability and the instructor’s teaching methods. Based on the four phases of the DBR framework, a qualitative investigation was conducted to identify the problems that impede teachers’ use of technology in EFL teaching (Sumi, 2011). To ameliorate the problems, following the second phase of the DBR framework, the CML was created and applied to a research project. The most distinctive feature of the CML is its integration of in-class practices with students’ out-of-class self-learning with aid of CALL technology. The CML was put into practice and tested on 19 first-year undergraduate students of EFL over the course of one year at a university in Japan. Data were collected, both onand off-line, in a variety of ways including quizzes, weblog, video recording, questionnaires, and classroom observation. Findings confirmed that CML-based teaching practice contributed to the improvement of both students’ English abilities and the instructor’s teaching methods.
THE INTERNATIONAL JOURNAL OF BUSINESS & MANAGEMENT Effect of Informal Financing Structure on Financial Performance of Women Owned Enterprises in Kenya: A Case Study of Gikomba Market

size and the atmosphere in which they function. However, according to Harash, Al-Timimi & Alsaadi, (2014) most of the performance definitions created by researchers have connected performance with the overall results of a company achieved through the interventions that it incorporates in order to achieve the marketing and financial goals. According to Itonga et all. , (2016) performance of women owned enterprises can be measured by observing variables such as the number of women owned businesses, increase in profit levels changes sales turnover, the number employees engaged, increase in service levels and production, and increase in total business capitalization. There is a Abstract: The main objective of this study was to investigate the effect of informal financing structure on financial performance of women owned enterprises in Kenya. The study covered rotating savings and credit associations (ROSCAs), trade credit financing, shylock financing and borrowing from friends and family as the specific objectives, guided by the Adverse Selection Theory, Financial Liberalization Theory, Credit Rationing Theory and the Altruistic Financing Theory. The study used a descriptive study and targeted1000 registered women owned enterprises; sample size of 90 female entrepreneurs was used to provide primary data. A regression analysis was performed to show the significance of the relationship between study variables from the findings. This study found out that ROSCAs and trade credits have a positive effect on financial performance and recommends entrepreneurs to utilize these informal methods if they opt for the informal financing. Shylock financing was found unfavorable in financing business enterprise due to huge interest rates, provision of collateral and the non-impact on financial performance. Borrowing from friends and family though with zero interest rates, results to smaller amounts that are inadequate to finance business enterprises. This study recommends that this option can only be exercised if ROSCAs and trade credit fail.
Phytochemical , Proximate and Mineral Analyses of Solanum incanum Fruit

The present study was carried out to investigate the phytochemical, proximate, mineral and ascorbic acid composition of Solanum incanum fruit. These analyses were carried out using standard methods. The results indicated that Solanum incanum fruit contained alkaloids, steroids, cardiac glycosides, saponins, flavonoids, tannins, oxalates and cyanogenic glycosides while anthraquinones was absent. Proximate analysis of the fruit showed that the moisture content was the highest compared to other parameters with a value of 91.40%, while the crude fibre was the least (7.10%). Values for the other parameters were 21.20% ash, 12.50% crude lipid, 7.80% crude protein, 51.74% carbohydrate and 308.90 kcal of energy. Analysis of the mineral constituents showed that the fruit contained phosphorus (1082.50 mg/100g), magnesium (38.99 mg/100g), potassium (215.45 mg/100g), manganese (147.00 mg/100g), copper (256.05 mg/100g), sodium (147.00 mg/100g), iron (325.75 mg/100g) and calcium (15.00 mg/100g) as well as ascorbic acid (6.28 mg/100g). The constituents in Solanum incanum fruit may be responsible for its nutritional and pharmacological uses.
Electrically conductive polymer composites for smart flexible strain sensors: a critical review

The rapid development of wearable smart devices has contributed to the enormous demands for smart flexible strain sensors. However, to date, the poor stretchability and sensitivity of conventional metals or inorganic semiconductor-based strain sensors have restricted their application in this field to some extent, and hence many efforts have been devoted to find suitable candidates to overcome these limitations. Recently, novel resistive-type electrically conductive polymer composites (ECPCs)-based strain sensors have attracted attention based on their merits of light weight, flexibility, stretchability, and easy processing, thus showing great potential applications in the fields of human movement detection, artificial muscles, human–machine interfaces, soft robotic skin, etc. For ECPCs-based strain sensors, the conductive filler type and the phase morphology design have important influences on the sensing property. Meanwhile, to achieve a successful application toward wearable devices, several imperative features, including a self-healing capability, superhydrophobicity, and good light transmission, need to be considered. The aim of the present review is to critically review the progress of ECPCs-based strain sensors and to foresee their future development.
Yield Response of Common Bean ( Phaseolus vulgaris L . ) Varieties to Combined Application of Nitrogen and Phosphorus Fertilizers at Mechara , Eastern Ethiopia

A field experiment was conducted in 2012 cropping season to determine the optimum rates of nitrogen and phosphorus fertilizers for maximum yield of common bean and to select the best combination of varieties and fertilizer levels for optimum yield on nitisols at Mechara research station. The treatment consists of four common bean varieties (Awash Melka, Awash 1, Chercher and Red Wolayita) and five combined nitrogen and phosphorus rates [0,0; 9,23; 18,46; 27,69; and 36,92 kg N and P2O5/ha) laid out in randomized complete block design with three replications. The main effect of common bean varieties and NP rates were significant (P<0.05) on days to 50% flowering, 90% physiological maturity, number of pods per plant, seeds per pod and hundred-seed weight. Similarly, the interaction effect of variety and NP rate was significant (P<0.05) on days to 50% emergence, number of nodules, and grain yield, biological yield, and harvest index, nitrogen and phosphorus concentration of shoot tissue. Accordingly, variety Awash Melka with the application of 27 kg N: 69 kg P2O5 ha-1 gave the highest value for grain yield (3127 kg ha-1), biological yield (7446 kg ha1). The highest number of seeds per pod (4.60) and the highest nitrogen content (3.89%) of the shoot tissue also recorded from Awash Melka and application of 27 kg N: 69 kg P2O5 ha-1. Whereas, the lowest grain yield (574 kg ha-1) was recorded for variety Awash 1 in response to no fertilizer application. Thus variety Awash Melka with the application of 27 kg N: 69 kg P2O5 ha-1 was found to be the best combination under Mechara’s agro-ecology as it gave higher values for yield and most of yield related traits.
Optimizing the use of poor quality roughages through treatments and supplementation in warm climate countries with particular emphasis on urea treatment

Introduction There is no doubt that the main basal feeds for ruminants in warm climate developing countries are essentially crop residues and poor quality grasses from rangelands either grazed or, even manually collected at a very advanced vegetation stage, when mature, during the dry season. What is less obvious are the ways and means for optimal use of these feed resources at both the nutritional and economical levels. The objective of this paper is, after rapidly reminding the basic principles for optimizing the digestive use of poor quality roughages, to quickly review the main technologies available for optimizing these roughages and, in the mean time, to try highligting assets and drawbacks of transferring them at the practical level.
Pharmacologic modulation of nasal epithelium augments neural stem cell targeting of glioblastoma

Glioblastoma (GBM) remains the most lethal and untreatable central nervous system malignancy. The challenges to devise novel and effective anti-tumor therapies include difficulty in locating the precise tumor border for complete surgical resection, and rapid regrowth of residual tumor tissue after standard treatment. Repeatable and non-invasive intranasal application of neural stem cells (NSCs) was recently shown to enable clinically relevant delivery of therapy to tumors. Treatment with chemotactic NSCs demonstrated significant survival benefits when coupled with radiation and oncolytic virotherapy in preclinical models of GBM. In order to further augment the clinical applicability of this novel therapeutic platform, we postulate that the FDA-approved compound, methimazole (MT), can be safely utilized to delay the nasal clearance and improve the ability of NSCs to penetrate the olfactory epithelium for robust in vivo brain tumor targeting and therapeutic actions. METHODS: To examine the role of reversible reduction of the olfactory epithelial barrier in non-invasive intranasal delivery, we explored the unique pharmacologic effect of MT at a single dosage regimen. In our proof-of-concept studies, quantitative magnetic resonance imaging (MRI), immunocytochemistry, and survival analysis were performed on glioma-bearing mice treated with a single dose of MT prior to intranasal anti-GBM therapy using an oncolytic virus (OV)-loaded NSCs. RESULTS: Based on histology and in vivo imaging, we found that disrupting the olfactory epithelium with MT effectively delays clearance and allows NSCs to persist in the nasal cavity for at least 24 h. MT pretreatment amplified the migration of NSCs to the tumor. The therapeutic advantage of this enhancement was quantitatively validated by tissue analysis and MRI tracking of NSCs loaded with superparamagnetic iron oxide nanoparticles (SPIOs) in live animals. Moreover, we observed significant survival benefits in GBM-bearing mice treated with intranasal delivery of oncolytic virus-loaded NSCs following MT injection. Conclusion: Our work identified a novel pharmacologic strategy to accelerate the clinical application of the non-invasive NSCs-based therapeutic platform to tackle aggressive brain tumors.
Theoretical and experimental examination of the intermediate-band concept for strain-balanced (In,Ga)As/Ga(As,P) quantum dot solar cells

The intermediate-band solar cell (IBSC) concept has been recently proposed to enhance the current gain from the solar spectrum while maintaining a large open-circuit voltage. Its main idea is to introduce a partially occupied intermediate band (IB) between the valence band (VB) and conduction band (CB) of the semiconductor absorber, thereby increasing the photocurrent by the additional VB {yields} IB and IB {yields} CB absorptions. The confined electron levels of self-assembled quantum dots (QDs) were proposed as potential candidates for the implementation of such an IB. Here we report experimental and theoretical investigations on In{sub y}Ga{sub 1-y}As dots in a GaAs{sub 1-x}P{sub x} matrix, examining its suitability for acting as IBSCs. The system has the advantage of allowing strain symmetrization within the structure, thus enabling the growth of a large number of defect-free QD layers, despite the significant size mismatch between the dot material and the surrounding matrix. We examine the various conditions related to the optimum functionality of the IBSC, in particular those connected to the optical and electronic properties of the system. We find that the intensity of absorption between QD-confined electron states and host CB is weak because of their localized-to-delocalized character. Regarding the position of themore » IB within the matrix band gap, we find that, whereas strain symmetrization can indeed permit growth of multiple dot layers, the current repertoire of GaAs{sub 1-x}P{sub x} barrier materials, as well as In{sub y}Ga{sub 1-y} As dot materials, does not satisfy the ideal energetic locations for the IB. We conclude that other QD systems must be considered for QD-IBSC implementations. « less
Thermal-Aware Design and Flow for FPGA Performance Improvement

To ensure reliable operation of circuits under elevated temperatures, designers are obliged to put a pessimistic timing margin proportional to the worst-case temperature (Tworst), which incurs significant performance overhead. The problem is exacerbated in deep-CMOS technologies with increased leakage power, particularly in Field-Programmable Gate Arrays (FPGAs) that comprise an abundance of leaky resources. We propose a two-fold approach to tackle the problem in FPGAs. For this end, we first obtain the performance and power characteristics of FPGA resources in a temperature range. Having the temperature-performance correlation of resources together with the estimated thermal distribution of applications makes it feasible to apply minimal, yet sufficient, timing margin. Second, we show how optimizing an FPGA device for a specific thermal corner affects its performance in the operating temperature range. This emphasizes the need for optimizing the device according to the target (range of) temperature. Building upon this observation, we propose thermal-aware optimization of FPGA architecture for foreknown field conditions. We performed a comprehensive set of experiments to implement and examine the proposed techniques. The experimental results reveal that thermal-aware timing on FPGAs yields up to 36.5% performance improvement. Optimizing the architecture further boosts the performance by 6.7%.
Technetium-99 m-Sestamibi Scintimammography for the Detection of Breast Carcinoma : Comparison Between Planar and SPEC ! Imaging

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Low Carbon Supply Chain Coordination for Imperfect Quality Deteriorating Items

Nowadays, many countries have implemented carbon pricing policies. Hence, the industry adapts to this policy while striving for its main goal of maximizing financial benefits. Here, we study a single manufacturer–retailer inventory decision considering carbon emission cost and item deterioration for an imperfect production system. This study examines two models considering two cases of quality inspection. The first is when the buyer performs the quality inspection, and the second is when the quality inspection becomes the vendor’s responsibility so that no defective products are passed to the buyer. Carbon emission costs are incorporated under a carbon tax policy, and we consider the carbon footprint from transporting and warehousing the items. The objective is to jointly optimize the delivery quantity and number of deliveries per production cycle that minimize the total cost and reduce the total carbon emissions. This study provides solution procedures to solve the models, as well as two numerical examples.
Studies on Preparation of Mango-Sapota Mixed Fruit Bar

The mixed fruit bars were prepared from sapota and mango pulp at different proportions viz. (0:100, 10:90, 20:80, 30:70 and 40:60) with sugar, citric acid (30 and 1% citric acid by weight of pulp respectively) and evaluated the physico-chemical and sensory quality characteristics. All fruit bars were analyzed for their organoleptic characteristics such as color, flavor, taste, appearance and overall acceptability. The highly acceptable and desirable fruit bar with respect to color, taste, flavour, mouth feel and overall acceptability can be obtained with combination of 30 percent sapota pulp and 70 percent mango pulp. The product scored maximum score (8.1) for color, taste, flavor and overall acceptability.
ON THE RANK OF AN ELEMENT OF A FREE LIE ALGEBRA

Let L be a free Lie algebra over an arbitrary field K, and let {xx, . , xn , ■■■} , n > 2 , be a free basis of L. We define the rank of an element u of L as the least number of free generators on which the image of u under an arbitrary automorphism of L can depend. We prove that for a homogeneous element u of degree m > 2, to have rank n > 2 is equivalent to another property which in the most interesting and important case when the algebra L = L" has a finite rank n > 2 looks as follows: an arbitrary endomorphism of L" is an automorphism if and only if u belongs to ((L"))m . This yields in particular a simple algorithm for finding the rank of a homogeneous element and also for finding a particular automorphic image of this element realizing the rank.
Deep Learning is not a Matter of Depth but of Good Training 1

In the past few years, deep neural networks have often been claimed to provide greater representational power than shallow networks. In this work, we propose a wide, shallow, and strictly sequential network architecture without any residual connections. When trained with cyclical learning rate schedules, this simple network achieves a classification accuracy on CIFAR100 competitive to a 10 times deeper residual network, while it can be trained 4 times faster. This provides evidence that neither depth nor residual connections are crucial for deep learning. Instead, residual connections just seem to facilitate training using plain SGD by avoiding bad local minima. We believe that our work can hence point the research community to the actual bottleneck of contemporary deep learning: the optimization algorithms.
EFFECTS OF HARVESTING HOUR ON ESSENTIAL OIL CONTENT AND COMPOSITION OF THYMUS VULGARIS

Diurnal variations in both fresh and dry leaf essential oils of Thymus vulgaris were evaluated in this study. Thymus vulgaris was harvested hourly starting at 6:00 and ending at 17:00. Fresh and dry leaf essential oil were extracted by hydrodistillation for 3 hours and analyzed by GC-MS. The results indicated that essential oil content significantly changed according to the hour of the day. The maximum oil yield was obtained by harvesting at the early hours of the day, which was found superior to oil yield corresponding to the late hours of the day. Thymol, γ-terpinen, p-cymene and carvacrol were the dominant essential oil components of both fresh and dry leaves of T. vulgaris. Except thymol, slight variations in essential oil composition of fresh and dry leaf of T. vulgaris were detected among harvesting hours. The results showed that the best harvesting hours of T. vulgaris for higher thymol concentrations were between 6:00 and 11:00.
Analysis of the laboratory implementation of a radial active magnetic bearing

Abstract − Stability and robustness of the controlled active magnetic bearings (AMB's), can be sufficiently improved with the knowledge of the mathematical model. Therefore an analysis of the laboratory implementation of a radial AMB is presented in the paper. The bearing force is determined by numerical calculations using 2D finite element method and the Maxwell's stress tensor. The current gain and position stiffness are determined in the entire operating range. The validation of the calculated bearing force, current gain and position stiffness is performed through the comparison with measured results. Moreover, the results of an approximation of the bearing force are presented. Obtained results make it possible to perform a robust control design in the entire operating range.
The Relationship Between Seed Size and Seed Quality in UNPAD New Seed Collection of Sweet Corn Lines After Storage

Seed size before storage can affect the performance of the seed after storage. Seed size correlates to energy reserves, and therefore an evaluation of the relationship between seed size and seed quality is needed. This paper discusses variations in the seed sizes of sixteen UNPAD sweet corn lines to determine the relationship between seed size and seed quality. The sweet corn lines used in this study were classified into two groups by seed mass (weight). Seeds classified as small averaged between 8.0-10.6 g per 100 seeds in mass, and heavy seeds averaged between 11.5-13.7 g per 100 seeds. The results showed that seed moisture content and germination rate were significantly correlated to seed size, and there was a slight positive correlation between the seed germination rate and seed weight. We conclude that heavy seeds were of better quality than small seeds. Keywords—corn, equilibrium moisture content, inbred, longevity
Sustaining Soil Productivity by Integrated Plant Nutrient Management in Wheat Based Cropping System Under Rainfed Conditions

The study of the use of organic (FYM) and inorganic (NPK) nutrient sources with biofertiliser on wheat-fallow and wheat-maize cropping system under rainfed environment revealed significant increase in biometric parameters of wheat during winter and summer seasons of two years. During both the seasons, application of 1⁄2 NPK + 1⁄2 FYM + Biopower (brand) produced the highest grain yield (3684 kg/ha) and (3781 kg/ha) of wheat with the maximum N uptake of 357 kg/ha, P uptake of 51 kg/ha and K uptake of 215 kg/ha. Wheat-maize cropping system was found to be profitable economically with integrated use of mineral and organic and/or Biopower under rainfed conditions of Pakistan.