Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence Of Discovery Learning Method And Video On Students’ Writing Skill

The purpose of this research was to find out any significant improvement in students' writing skill after they are taught by using the Discovery Learning Method combined with Video on Students‟ Writing Skill of Recount Text at the tenth Grade of MAN 1 Sungai Penuh. The design of this research was quasi experiment research. Besides, the population of this research was the tenth grade of MAN 1 Sungai Penuh. Then, the sample of this research was 41 students that consisted of two classes. There were class MIA1 as experiment class and MIA2 as control class. Moreover, the sample of this research used cluster random sampling. The result of the research, it was gotten t-count 17,24 t-table 1,6838 at the freedom of 40 an level significant 0,05. The value of t-count was higher than t-table. It showed the hypothesis H_1that stated there was significant effect of Discovery Learning Method Combined with Video on students‟ writing skill of recount text at the eleventh grade of MAN 1 Sungai Penuh was accepted. Therefore, the research suggested for English teacher to use Discovery Learning Method combine with Video on teaching writing, especially of teaching writing recount
The fate of marine autotrophic production

The fate of photosynthetic carbon in marine ecosystems dominated by different types of primary producers was examined by compiling published reports on herbivory, autotrophic respiration, decomposition, carbon storage, and export rates as fractions of net primary production (NPP) in ecosystems dominated by different types of autotrophs (i.e. oceanic and coastal phytoplankton, microphytobenthos, reef algae, macroalgae, seagrasses, marsh plants, and mangroves). A large fraction (>40%) of the NPP of marine ecosystems is decomposed within the system, except for microphytobenthos (decomposition, -25% of NPP). Herbivory tends to be highest for microalgae (planktonic and benthic, >40% of NPP) and macroalgae (33.6 ? 4.9% of NPP) and is somewhat less for higher plants. Microphytobenthos export on average a much higher proportion of their NPP than do other microalgal communities, whereas marine macrophytes, except marsh plants, export a substantial proportion (24.3-43.5% on average) of their NPP. The fraction of NPP stored in sediments is 4-fold greater for higher plants (- 10-1 7% of NPP) than for algae (0.4-6% of NPP). On average, -90% of the phytoplankton NPP is used to support local heterotrophic metabolism (i.e. grazed or decomposed). This fraction is even higher in oceanic communities. Mangrove forests, and to a lesser extent seagrass meadows and macroalgal beds, produce organic carbon well in excess of the ecosystem requirements, with excess photosynthetic carbon (i.e. export rate plus storage) in these ecosystems representing -40% of NPP. Ex- trapolation of these results to the global ocean identifies marine angiosperms, which only contribute 4% of total ocean NPP, as major contributors of the NPP stored (30% of total ocean carbon storage) and subsequently buried in marine sediments. Consideration of burial of NPP from marine angiosperms should lead to estimates of total burial of marine NPP that exceed current estimates by 15-50%.
Automated Health Alerts using In-Home Sensor Data for Embedded Health Assessment

— There are numerous works carried out regarding embedded health assessment. For example passive infrared (PIR) motion sensors have been used to capture activity in a particular location in the home. The pattern of room to room activity has been studied as a means of investigating health changes. Motion density from PIR motion sensors can capture overall activity level that may be linked to health condition. In addition, sleep patterns have been studied using motion sensors, bed mats or load cells. Other work has focused on the detection of cognitive changes, using a combination of motion, bed and door sensing, medication tracking. Although these works look to be efficient they are not easy to realize practically. The construction and installation of these sensing equipments require sophisticated means and high care should be taken to maintain these installations. The proposed system concentrates on in home health monitoring and has developed a sensor monitoring system for embedded health assessment in the home. The focus is on detecting very early changes in health status or older adults who are managing chronic health conditions. The system integrates few health monitor sensors and eliminates PIR sensors, as PIR sensors are mainly applicable for motion detection and gives the information of the activities occurred in a particular location of the home, and health conditions may vary irrespective of any location in home.
Automatic Change Detection in Multitemporal SAR Orthoimages

Forest monitoring is a major concern today due to climate changes, conservation of fauna and flora and to the lack of water. Therefore, several environmental monitoring techniques have been developed and used to detect changes in the scenes. However, the main techniques have limitations related to weather conditions and does not have the expected effect. The use of SAR (Synthetic Aperture Radar) seems appropriate to detect changes due to its independence of atmospheric and lighting conditions. The SAR change detection is a process that uses SAR images acquired in the same geometric conditions but in different moment (multitemporal) to identify changes in the surface that occurred between two acquisitions. This paper presents a new method of change detection in multitemporal SAR orthoimages using the difference between them. The novelty of this method is the detection threshold definition: it is usually an orthoimages difference function, but in this method it is calculated using only one of the orthoimages. In addition, another novelty is the combined use of already known techniques: the speckle filtering, the normalization and the morph close operation. Experimental tests were conducted using real SAR data obtained by the airborne sensor OrbiSAR-2 from Bradar in the Amazon Forest and the results showed a higher accuracy than those found in the literature.
Developmental and physiological traits associated with high yield and stay-green phenotype in wheat

Water availability is a key limiting factor in wheat production in the northern grain belt of Australia. Varieties with improved adaptation to such conditions are actively sought. The CIMMYT wheat line SeriM82 has shown a significant yield advantage in multi-environment screening trials in this region. The objective of this study was to identify the physiological basis of the adaptive traits underpinning this advantage. Six detailed experiments were conducted to compare the growth, development, and yield of SeriM82 with that of the adapted cultivar, Hartog. The experiments were undertaken in field environments that represented the range of moisture availability conditions commonly encountered by winter crops grown on the deep Vertosol soils of this region. The yield of SeriM82 was 6-28% greater than that of Hartog, and SeriM82 exhibited a stay-green phenotype by maintaining green leaf area longer during the grain-filling period in all environments where yield was significantly greater than Hartog. However, where the availability of deep soil moisture was limited, SeriM82 failed to exhibit significantly greater yield or to express the stay-green phenotype. Thus, the stay-green phenotype was closely associated with the yield advantage of SeriM82. SeriM82 also exhibited higher mean grain mass than Hartog in all environments. It is suggested that small differences in water use before anthesis, or greater water extraction from depth after anthesis, could underlie the stay-green phenotype. The inability of SeriM82 to exhibit stay-green and higher yield where deep soil moisture was depleted indicates that extraction of deep soil moisture is important.
Activity of Four Salvia Species Against Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae)

Abstract. Chloroform extracts from the aerial parts of four species of medicinal plants of the genus Salvia (Lamiaceae) were tested for insectistatic and insecticidal activities against the life cycle of the fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae). All extracts showed both activities. Extracts from Salvia microphylla Kunth and Salvia connivens Epling had high insecticidal activity (LV50 916 and 936 ppm, respectively), and Salvia keerlii Benth. , and Salvia ballotiflora Benth. , had moderate insecticidal activity (LV50 1,527 and 1,685 ppm, respectively). S. connivens had the best insectistatic activity (at 1,000 ppm). This extract prolonged the larval and pupal phases by 7.6 and 3.4 days, respectively, and decreased the pupal weight 30.4%. S. microphylla extract increased the larval and pupal phases by 6.5 and 2.9 days, respectively, and reduced the pupal weight 25.3%. S. keerlii extract increased the larval and pupal phases by 4.9 and 3.1 days, respectively, and decreased the pupal weight 16.4%, and the S. ballotiflora extract increased the larval and pupal phases by 5.2 and 2.9 days, respectively, and reduced the pupal weight 13.2%. These results indicated that, because of their insecticidal and insectistatic activities, these extracts may be used to control fall armyworm.
EFFECTS OF LEVEL OF COPPER SUPPLEMENT AND REMOVAL OF SUPPLEMENTAL COPPER FROM THE DIET ON THE PHYSICAL AND CHEMICAL CHARACTERISTICS OF PORCINE DEPOT FAT

One hundred crossbred pigs were used in two experiments to study the effects of period and level of copper supplementation of swine diets on the physical and chemical characteristics of porcine depot fat. In the first experiment the presence of 250 ppm supplemental copper in the diet significantly (P < 0.01) increased the phospholipid content, decreased the melting point, increased the weight percent of unsaturated fatty acids, and decreased the weight percent of saturated fatty acids present in the backfat of pigs at 23, 46, 69, or 92 kg. Removal of supplemental copper from the diet at 23, 46, or 69 kg resulted in a backfat at 92 kg whose physical and chemical characteristics were similar to those observed in the control animals. In the second experiment all levels of supplemental copper tested significantly (P < 0.01) decreased the melting point, increased the weight percent of unsaturated fatty acids, and decreased the weight percent of saturated fatty acids in the depot fat at market weight. These cha.
Link Quality Estimation of Cross-Technology Communication

Research on Cross-technology communication (CTC) has made rapid progress in recent years, but how to estimate the quality of a CTC link remains an open and challenging problem. Through our observation and study, we find that none of the existing approaches can be applied to estimate the link quality of CTC. Built upon the physical-level emulation, transmission over a CTC link is jointly affected by two factors: the emulation error and the channel distortion. We in this paper propose a new link metric called C-LQI and a joint link model that simultaneously takes into account the emulation error and the channel distortion in the process of CTC. We further design a light-weight link estimation approach to estimate C-LQI and in turn the PRR over the CTC link. We implement C-LQI and compare it with two representative link estimation approaches. The results demonstrate that C-LQI reduces the relative error of link estimation respectively by 46% and 53% and saves the communication cost by 90%.
Tuning of a Speed Control System for DC Servo Motor Using Genetic Algorithm

— A Dc servo motor system is one of the widely used variable speed drives in industrial production, process automation and building technology worldwide, they are intended and designed to use in motion control applications which require high accuracy positioning, quick reversing and exceptional performance. It is a widely used device for many applications, starting from simple industrial tasks to precise manufacturing applications such as in robotics. It uses a PID controller in order to obtain an error feedback signal, and thus produces a stable angular speed. However, PID controllers produce various problems such as poor and unstable responses during the frequent presence of disturbance and noise. This paper aims to implement a parametric second-order model of a servo motor via raw data extracted from real experiments, an optimization technique named Genetic algorithms (GA) was used for identifying of the model parameters, also to design an efficient PI controller that provides a fast response, less rise time and sufficient settling time. The parameters of the designed PI controller were also selected based on using a GA optimization technique with three popular common performance criteria, namely, integral square error (ISE), integral absolute error (IAE), and integrated time absolute error (ITAE). Moreover, the performance of the optimized PI controller was testified and evaluated when the servo motor is operating under varying inertia loads The experimental results show that the GA PI controller with the ITAE criteria is more proficient in enhancing the angular speed stability and also in meeting the operational demands compared with other traditional objective functions.
Factor Affecting Green Awareness on Generation Y Purchasing Behavior towards Green Brand Products

The study of green awareness on generation Y purchasing behavior towards green brand products has become one of the major research topic. Generation Y is maturing a pragmatic generation that responsible to save the environment as well as benefit to the world economic. However, there is still a gap exist on the generation Y population in Malaysia. Thus, this study is conducted to investigate the most determinants that affect green awareness on generation Y purchasing behavior toward green brand products. There are six independent variables that had been determined in this research study which are social influence, price consciousness, health consciousness, environmental concern, eco-label and roles of government and non-governmental organizations (NGOs). Survey questions were distributed among 400 respondents of generation Y at age ranging from 18 to 35 at Penang, Malaysia. The data was analyzed using multiple linear regression analysis and find out only health consciousness, environmental concern, eco-label and roles of government and NGOs that affect green awareness on generation Y purchasing behavior towards green brand product. Roles of government and NGOs became the most important determinant that affect green awareness on generation Y purchasing behavior towards green brand products in Penang. Hence, government and NGOs should actively involve generation Y in their activities and advertised through mass media and social media of any green massage or campaign in order to raise generation Y’s green awareness on purchasing green brand products.
Contour Tone-Induced Lengthening in Cantonese

Current debates on the distribution of contour tones center on the issue of whether the durational properties of contour tone bearing units should be characterized in terms of phonological or phonetic parameters. Based on evidence from the phonetics of morphologicallyand sandhi-derived rising toned CVVO syllables (O=obstruents) in Cantonese, this study lends support for the phonetic explanation of the durational properties of contour tone bearing units.
Evaluation of Cytotoxic effect of Garlic on human gingival fibroblasts: A Preliminary Study

In this study we aimed to evaluate the cytotoxic effect of garlic extract on human gingival fibroblasts. Garlic extracts were prepared at 5 different concentrations as 12.5%, 6.25%, 3.12%, 1.5%, and 0.6%. Cytotoxic effects of garlic and clorhexidine gluconat (CH) on human gingival fibroblasts were evaluated by agar diffusion method at 24 h. Garlic extracts concentrations at 6.25, 3.12, and 1.5% were not found cytotoxic on human gingival fibroblasts, whereas concentration at 12.5% was found cytotoxic, this effect was found less cytotoxic than CH. According to results of this study we could suggest that Garlic would have a promising role in the future for oral health, if appropriate solutions can be prepared.
REVIEW OF LITERATURE ON FOREST PRODUCTS-RELATED AVOIDED GREENHOUSE GAS EMISSIONS

Over many years, a body of research has been developed examining the greenhouse gas (GHG) and carbon attributes of forests and forest products. This research has demonstrated that forest-based products, particularly building materials, provide long-term GHG mitigation benefits when they substitute for more GHG-intensive alternatives. This report examines research on forest products-related avoided emissions in the context of existing calculating and reporting guidance. The report confirms that forest products, and wood products in particular, generally release less GHG over their life cycle than fossil fuel-intensive alternatives and have the capacity to store carbon over long periods of time. NCASI found that different organizations have used different approaches in calculating avoided emissions. Approaches typically involve consideration of the full life cycle (i.e., from raw material extraction to final disposal) of forest products and their alternatives but use different metrics for reporting. In addition, net biomass CO 2 removals are sometimes aggregated with avoided fossil fuel emissions, making the results less transparent.
Role of smart vehicles concept in reducing traffic congestion on the road

The aim of this simple qualitative review was to provide an overview of how smart vehicles concept facilitates reducing traffic congestion on the road. Google Scholar was searched for literature sources using the topic itself as the search term. The search yielded 40 usable papers for this review. Many elements of smart city are inter-mixed with the smart vehicles concept. On the other hand in the smart vehicle concept, enabling technologies like VANET, IoV, SDN, use of mobiles and even use of electric poles on the road as IoT gateway were tested in the different frameworks proposed by different researchers. Many other traffic management systems have also been tested especially in Japan and India. In general, two scenarios have been considered-one of current types of roads and the other automated highways. Understandably, the requirements and approaches are different for the two scenarios. Some limitations of this review have also been listed at the end. Maximum of works dealt with VANET technology.
RNAi and miRNA pathways in plants II – mobility of small RNAs

RNA silencing denotes sequence-specific repression mediated by small RNAs. Plants have arguably the most complex RNA silencing among eukaryots because of existence of many paralogs of key protein factors, which form in an intricate network of primary and secondary small RNAs, which mediate transcriptional and post-transcriptional effects, which target endogenous protein-coding gene expression, serve as a form of innate immunity targeting viruses, and protect genome integrity by repressing retrotransposons. The complexity of RNA silencing was introduced in an accompanying review. Here, I will focus on mobility of small RNAs in plants, which allows for silencing effects occurring at a different place than where the silencing was initiated. I will discuss different types of mobility of different classes of small RNAs across plant tissues and their biological implications.
An Efficient Enhancement Method for Finger Vein Images Using Double Histogram Equalization

: With the advent of latest technological breakthroughs, it has become quite an easy feat to hack the commonly used biometrics such as face, voice and fingerprint etc. This has led to the exploration of new vistas in this domain.One of the most secure biometrics of today is finger vein-but this high degree of security comes with its own challenges, the most prominent one being that the vein pattern is extremely difficult to extract because finger vein images are always low in quality, gravely hampering the feature extraction and classification stages. Sophisticated algorithms need to be designed for this purpose. The aim of this paper is to present a computationally light-weight yet highly efficient procedure that can be used to extract the vascular pattern from a person’s finger illuminated by infrared radiation.Experiment results demonstrate that the proposed method is not only efficiently lightweight with regard to computational time but also achieves state –of-the art results by clearly bringing out the enhanced vascular pattern beneath finger skin
PSO-BASED ONLINE SEQUENTIAL EXTREME LEARNING MACHINE FOR CLASSIFICATION AND ENGINEERING APPLICATION

Online sequential extreme learning machine (OS-ELM) is a method of online learning, which can handle the problem of data arriving or chunk-by-chunk with varying chunk size. However, the input weights (connections between the input and hidden layers) and the hidden layer biases of OS-ELM are randomly determined, which will cause an inaccurate classification result, that varied a lot, and in the field of fault diagnosis, the diagnostic mode is mainly divided into two types: online and offline. At present, many offline learning and diagnostic methods have been proposed by researchers, but there are few online sequential learning and monitoring methods. Therefore, in this paper, a new classification method PSO-OSELM (Particle Swarm Optimization and Online Sequential Extreme Learning Machine) is proposed for classification and engineering application. In the PSO-OSELM method, PSO is used to determine the optimal input weights and thresholds of OS-ELM, which minimizing the classification error of OS-ELM. Contrastive experiments between PSO-OSELM and OS-ELM have been conducted on wine datasets. The results show that PSO-OSELM has higher classification accuracy than OS-ELM, and PSO-OSELM is further applied to diagnose the faults of roller bearing. It can be seen from the training and testing results that the fault classification accuracy of PSO-OSELM is better than OS-ELM.
COMPACT, INTERDIGITATED CONSTRUCTAL DESIGN APPLIED TO SUPERCAPACITOR SYSTEMS

Interdigitated grid topology may provide for higher quality electrical devices, which are sieges of electric and magnetic fields, in terms of capacity, reconfiguration capability, and compactness. It is then important to provide design solutions that add to these the architectural scalability required to produce readily available solutions for designers. This paper aims to propose a constructal solution for interdigitated grid topologies based on an optimal scalable, minimum-redundant, reconfigurable interdigitated topology for planar electric devices. Although the interdigitated constructal design (ICD) may be of interest in the optimization of numerous planar structures, here we envisage two applications. In this paper, ICD is applied to optimize a planar micro supercapacitor that utilizes vertically grown carbon nanotube forests electrodes. This study relies on numerical solutions to boundary value problems that are solved using the finite element method.