Miracle-dz/UniFAR-FTUs huggingface dataset:
An Improved Discriminative Tracking Algorithm Based on Spatial Information and Model Updating

Tracking object occluded partially is a difficult problem in video surveillance. Many previous tracking methods fail to track occlusion objects robustly. In this paper, we propose an improved discriminative tracking algorithm based on bag of patches to cope with the partial occlusion as well as drift. In the proposed method, the spatial information is introduced to build the object appearance model and construct the confidence map from three different aspects, which directly determine the ultimate tracking effect. In addition, the context information of the small image patches is also applied. In order to adapt to the variance of the environment, an online model updating strategy is proposed. Contrasting experimental results on several real world scenarios show that our proposed approach can handle partial occlusion and recover from drift. Comparing with four stat-of-the-art tracking methods, our proposed method has better tracking performance.
Nutritional Assessment and Molecular Identification of Microorganisms from Akhuni/Axone: A Soybean Based Fermented Food of Nagaland, India

Soybean based fermented foods are known to be highly nutritive, not just because it contains high protein content but also due to presence of polyphenols. Various microorganisms involved during the fermentation process have proven to play active role in the enhancement of the nutritional value as well as increase in phytochemicals in the product. Akhuni/Axone is a popular soybean product of Nagaland, India. It forms an integral part of the diet and is used as a condiment during preparation of various dishes in the Naga kitchen. This study describes the nutritional value, the antioxidant activity and the presence of polyphenols of Akhuni/Axone, which increase significantly in composition between the soybean seeds and the fermented product. The molecular identification of the microorganisms present in Akhuni/Axone product is also reported in this paper.
Development of a Uniform Approach to Writing and Grading of Laboratory Reports in Horticultural Science Courses

Written scientific communication, such as laboratory reports, are important components of undergraduate education within the sciences. Since most Horticultural Science majors offer lecture- and lab-based courses, students often write laboratory reports for many courses across the curriculum and these reports comprise a large percentage of the writing assignments in these classes. Instructors link learning objectives with laboratory reports to reinforce course content. Students have noted inconsistencies across horticulture courses in requirements for laboratory report writing, which often leads to confusion. Thus, development of a grading rubric would improve the continuity of expectations of laboratory report writing and grading within a Horticultural Science curriculum for instructors teaching courses requiring laboratory reports. When focusing just on laboratory writing in the curriculum, surveys and interviews indicated that a disconnect exists between what instructors expect of their students and what the stated learning outcomes were for their courses. Student’s ability to analyze results was seen as both a strength and weakness, as reported from faculty responses. In lower division courses, analyzing results from student’s experiments was a weakness while in upper division courses faculty responses were mixed as to whether students had the skills to sufficiently analyze results from their experiments. When a grading rubric was trialed, students indicated that use of the same rubric in other Horticultural Science courses would demystify the process of conducting research and communicating it effectively in laboratory reports. For this work to expand, one or more standard rubrics need to be developed for use by Horticultural Science courses within an institution to enhance our students’ abilities to become competent writers in this form of scientific communication. A baseline rubric for courses at the 3000 level was developed to serve as a template to further this process.
A Novel Reaching Law for Sliding Mode Control of Uncertain Discrete-Time Systems

This paper proposed a new sliding mode control algorithm for discrete-time systems with matched uncertainty. The new control algorithm is characterized by a new discrete switching surface. Although the exponential reaching law can reduce oscillation, the control effectiveness will be suppressed when the rate of change of disturbance is high. The exponential reaching law cannot force the system states to approach sliding surface sk=0. In order to solve the contradiction between guaranteeing the basic property of quasi-sliding mode and reducing oscillation, a new discrete reaching law is proposed to improve the reaching process of discrete exponent reaching laws. The proposed method not only can force system state to approach the sliding surface sk=0 in less width of the switching manifold than existing studies, but also can alleviate chattering when the system representative points are near zero point. Simulation results are provided to validate the feasibility and reasonability of the method.
Semantic Description of Text Mining Services

Today, a huge amount of crucial business knowl- edge is hidden in unstructured text sources, such as word documents, web pages or forum entries. In order to exploit this knowledge text mining techniques were developed that are able to automatically extract or annotate entities, their relations or sentiments from textual sources. Recently, a number of text mining services that offer REST or SOAP APIs for easy con- sumption were published. These services differ strongly in their mining abilities and result quality and are often constructed for specific use cases. In practice, it is often desirable to combine results of multiple services to increase quality and functionality. However, this result combination is difficult since descriptions of service functionalities are often rarely documented and not standardized so that searching for specific text mining characteristics is time consuming and complex. In this paper we introduce a categorization of text mining services and provide a novel description ontology for describing functional characteristics of a text mining service. The ontology, being of interest for practitioners as well as researchers, is completed by application examples and descriptions that are made publicly available. Through the ontology and the descriptions presented in this paper the automatic use and combination of different text mining services is enabled. Keywords-Text Mining; Semantic Description; Service Ori- ented Architecture.
Perkembangan teknologi informasi telah mengubah cara orang belajar dan bekerja. Pemanfaatan teknologi informasi dan komunikasi dalam pembelajaran bukan lagi merupakan tuntutan melainkan sebuah kebutuhan. Namun demikian tidak semua orang atau institusi tanggap atas kebutuhan. Berbagai kendala dijadik

The use of e-Learning Tools in STIKOMDB is expected to improve the efficiency and effectiveness of learning. This study aims to analyze the acceptance e-learning tools on learning using the Unified Theory of Acceptance and Use of Technology ( UTAUT ). The respondents were students from STIKOMDB who use e-Learning Tools in Learning. Data collected by using survey methods. Data were analyzed using Structural Equation Model (SEM). A result shows that expectancy performance, price value and habit has a significant influence on behavioral intention. While effort expectancy, facilitating condition, social influence and hedonic motivation does not affect the behavioral intention. The research model has R2 Amounting to 0.639 which means that the model is quite substantial for predicting acceptance e-Learning Tools in learning Keyword— aacceptances, e-Learning-Tools, UTAUT, SEM Intisari— Penggunan perangkat e-learning di STIKOMDB diharapkan dapat meningkatkan efektifitas dan efisiensi pembelajaran. Penelitian ini bertujuan untuk menganalisa penerimaan perangkat e-learning pada pembelajaran menggunakan Unified Theory of Acceptance and Use of Technology ( UTAUT ). Responden penelitian adalah mahasiswa STIKOMDB yang menggunakan perangkat elearning pada pembelajaran. Data dikumpulkan menggunakan metode survey. Data dianalisa menggunakan Structural Equation Model (SEM). Penelitian menunjukkan bahwa expectancy performance, price value dan habit memiliki pengaruh yang signifikan terhadap behavioral intention. Sedangkan effort expectancy, facilitating condition, social influence dan hedonic motivation tidak memiliki pengaruh terhadap behavioral intention. Model penelitian menghasilkan nilai R2 sebesar 0.639 yang memiliki arti bahwa model cukup subtansial untuk memprediksi penerimaan perangkat e-Learning pada pembelajaran. Kata Kunci— penerimaan, perangkat e-learning, UTAUT, SEM
Robustness of hydroclimate metrics for climate change impact research

Metrics based on streamflow and/or climate variables are used in water management for monitoring and evaluating available resources. To reflect future change in the hydrological regime, metrics are estimated using climate change information from Global Climate Models or from stochastic time series representing future climates. Whilst often simple to calculate, many metrics implicitly represent complex physical process. We evaluate the scientific validity of metrics used in a climate change context, demonstrating their use to reflect aspects of timing, magnitude, extreme values, variability, duration, state, system services, and performance. We raise awareness about the following generic issues (a) formulation: metrics often assume stationarity of the input data, which is invalid under climate change; and do not always consider potential changes to seasonality and the relevance of the temporal window used for analysis; (b) climate change input data: how well are the physical processes relevant to the metric represented in the climate change input data; what is the impact of bias correction on relevant spatial and temporal scale dependencies and relevant intervariable dependencies; how realistic are the data in representing sequencing of events and natural variability in large‐scale ocean–atmosphere systems; and (c) decision‐making context: are rules and values that frame the decision‐making process likely to remain constant or change in a future world.
Rate of Penetration Prediction Utilizing Hydromechanical Specific Energy

The prediction and the optimization of the rate of penetration (ROP), an important measure of drilling performance, have increasingly generated great interest. Several empirical techniques have been explored in the literature for the prediction and the optimization of ROP. In this study, four commonly used artificial intelligence (AI) algorithms are explored for the prediction of ROP based on the hydromechanical specific energy (HMSE) ROP model parameters. The AIs explored are the artificial neural network (ANN), extreme learning machine (ELM), support vector regression (SVR), and least-square support vector regression (LS-SVR). All the algorithms provided results with accuracy within acceptable range. The utilization of HMSE in selecting drilling variables for the prediction models provided an improved and consistent methodology of predicting ROP with drilling efficiency optimization objectives. This is valuable from an operational point of view, because it provides a reference point for measuring drilling efficiency and performance of the drilling process in terms of energy input and corresponding output in terms of ROP. The real-time drilling data utilized are must-haves, easily acquired, accessible, and controllable during drilling operations.
On the correlation of spatial wind speed and solar irradiance variability above the North Sea

Abstract. Mesoscale wind fluctuations on a time scale of tens of minutes to several hours lead to high wind power fluctuations. Enhanced mesoscale wind variability emerges during cold air outbreaks and resulting cellular convection. The study investigates spatial wind and solar variability and their correlation during cellular convection. Cellular convection leads to simultaneous high solar and wind variability, but the highest solar or wind variability occurs due to other meteorological phenomena.
Morphological, biochemical and DNA barcoding characteristics for some Lantana L. cultivars growing in Egypt

Lantana cultivars are aromatic shrubs or herbs cultivated for ornamental purposes for its different flower colors in addition to its use as hedges in Egypt. The similarity of the morphological characteristics between Lantana camara and L. depressa varieties lead to carry out the present study where five varieties cultivated in Helwan University Garden, Egypt of red, dark purple, pale yellow, dark yellow and mixed colors flowers varieties has been done on the bases of morphological, chemical study to determine total antioxidant compounds, total phenolics and flavonoids, total anthocyanin content, total carotenoids content, total proteins, and nucleic acids contents for the flowers of each cultivar, in addition to the molecular levels on the bases of DNA barcoding level where the Internal Transcribed Spacer (ITS) discriminate and confirm the identification of four Lantana ornamental plant varieties at the variety level.
Simple Technology for the Hatchery Seed Production of Giant Palaemonid Prawn Macrobrachium rosenbergii (De Man)

The optimum salinity requirement of Macrobrachium rosenbergii brooders for better hatching and survival of hatchlings is studied. The berried females of M. rosenbergii were kept in different salinities (0, 5, 10, 15 and 20 ppt) during incubation period. Maximum hatching rate (98 % and 97 %) was recorded when the berried females were kept in 0 ppt and 5 ppt salinities respectively. The post larvae appeared at very short periods of 22 and 24 days where brooders kept in 0 and 5 ppt salinities. The larval cycle completed within 35 and 37 days when the brooders acclimatized in 0 and 5 ppt respectively. Survival percentages of 82 and 79 were also high from the brooders kept in 0 and 5 ppt. Inferior hatching rate, extended larval batch and lower survival rate is observed from brooders kept in 10, 15 and 20 ppt salinities. The hatchery technology proposed is quite simple and can be applied to small-scale operations.
AN IMPROVEMENT TO THE NEAREST NEIGHBOR CLASSIFIER AND F ACE RECOGNITION EXPERIMENTS

The conventional nearest neighbor classier (NNC) directly exploits the dis- tances between the test sample and training samples to perform classication. NNC independently evaluates the distance between the test sample and a training sample. In this paper, we propose to use the classication procedure of sparse representation to im- prove NNC. The proposed method has the following basic idea: the training samples are not uncorrelated and the \distance" between the test sample and a training sample should not be independently calculated and should take into account the relationship between dif- ferent training samples. The proposed methodrst uses a linear combination of all the training samples to represent the test sample and then exploits modied \distance" to classify the test sample. The method obtains the coefficients of the linear combination by solving a linear system. The method then calculates the distance between the test sample and the result of multiplying each training sample by the corresponding coefficient and assumes that the test sample is from the same class as the training sample that has the minimum distance. The method elaborately modies NNC and considers the relationship between different training samples, so it is able to produce a higher classication accu- racy. A large number of face recognition experiments on three face image databases show that the maximum difference between the accuracies of the proposed method and NNC is greater than 10%.
Identification of tissue specific expression and polymorphic differences in neuropeptide Y receptors Y1 and Y5

Obesity is a serious health problem in Western society, affecting up to 35% of the adult population in the United States and is associated with cardiovascular disease, noninsulin dependent diabetes mellitus, and increased risk of many forms of cancer. Obesity is recognized as a disorder of energy bal,ance, having genetic components, which develops when energy intake through feeding exceeds energy expenditure. Regulation of feeding occurs throu~h the hypothalamic regulation of two mainpathways, the catabolic or melanocortin pathway, and the anabolic or neuropeptide Y pathway. Evidence in rodent models shows that mutations in genes coding for neuropeptides and neuropeptide receptors in these pathways can cause obesity in rodents. Mutations in ortholog genes in humans may similarly be a cause of human obesity. Recent evidence has found that mutations in the melanocortin pathway in humans are either silent or occur at a frequency of less than 1%. The rate of mutations were examined in the genes coding for receptors involved in the anabolic pathway, specifically neuropeptide Y receptors Yl and Y5. In r addition, tissue specific expression patterns of the alternatively spliced forms of NPY Yl and Y5 receptor mRNAs were determined. Three separate heterozygous mutations were identified in the coding regions of both receptor genes. These mutations, however, were either synonymous (silent) or rare, occurring at a frequency less than 1%, providing indirect evidence that obesity in humans is not caused by these genes. Tissue specific expression analysis showed that expression of the Y5 receptor gene is localized primarily to the brain whereas the expression of the Yl receptor occurs in the brain as well as peripheral tissues and is regulated by three alternatively spliced 5' exons.
Snake River Sockeye Salmon Captive Broodstock Program; Hatchery Element, 2004 Annual Report.

On November 20, 1991, the National Marine Fisheries Service listed Snake River sockeye salmon Oncorhynchus nerka as endangered under the Endangered Species Act of 1973. In 1991, the Idaho Department of Fish and Game, the Shoshone-Bannock Tribes, and the National Marine Fisheries Service initiated efforts to conserve and rebuild populations in Idaho. Initial steps to recover sockeye salmon included the establishment of a captive broodstock program at the Idaho Department of Fish and Game Eagle Fish Hatchery. Sockeye salmon broodstock and culture responsibilities are shared with the National Oceanic and Atmospheric Administration at two locations adjacent to Puget Sound in Washington State. Activities conducted by the Shoshone-Bannock Tribes and the National Oceanic and Atmospheric Administration are reported under separate cover. Idaho Department of Fish and Game monitoring and evaluation activities of captive broodstock program fish releases (annual report to the Bonneville Power Administration for the research element of the program) are also reported separately. Captive broodstock program activities conducted between January 1, 2004 and December 31, 2004 for the hatchery element of the program are presented in this report. In 2004, twenty-seven anadromous sockeye salmon returned to the Sawtooth Valley. Traps on Redfish Lake Creek and the upper Salmon Rivermore » at the Sawtooth Fish Hatchery intercepted one and four adults, respectively. Additionally, one adult sockeye salmon was collected at the East Fork Salmon River weir, 18 were seined from below the Sawtooth Fish Hatchery weir, one adult sockeye salmon was observed below the Sawtooth Fish Hatchery weir but not captured, and two adult sockeye salmon were observed in Little Redfish Lake but not captured. Fish were captured/collected between July 24 and September 14, 2004. The captured/collected adult sockeye salmon (12 females and 12 males) originated from a variety of release strategies and were transferred to Eagle Fish Hatchery on September 14, 2004 and later incorporated into hatchery spawn matrices. Nine anadromous females, 102 captive females from brood year 2001, and one captive female from brood year 2000 broodstock groups were spawned at the Eagle Hatchery in 2004. Spawn pairings produced approximately 140,823 eyed-eggs with egg survival to eyed stage of development averaging 72.8%. Eyed-eggs (49,134), presmolts (130,716), smolts (96), and adults (241) were planted or released into Sawtooth Valley waters in 2004. Reintroduction strategies involved releases to Redfish Lake, Alturas Lake, and Pettit Lake. During this reporting period, five broodstocks and five unique production groups were in culture at Idaho Department of Fish and Game (Eagle Fish Hatchery and Sawtooth Fish Hatchery) and Oregon Department of Fish and Wildlife (Oxbow Fish Hatchery) facilities. Two of the five broodstocks were incorporated into the 2004 spawning design. « less
THE SPITZER c2d SURVEY OF LARGE, NEARBY, INTERSTELLAR CLOUDS. XII. THE PERSEUS YSO POPULATION AS OBSERVED WITH IRAC AND MIPS

The Spitzer Space Telescope mapped the Perseus molecular cloud complex with the Infrared Array Camera (IRAC) and the Multi-Band Imaging Photometer for Spitzer (MIPS) as part of the c2d Spitzer Legacy project. This paper combines the observations from both instruments giving an overview of low-mass star formation across Perseus from 3.6 to 70 μm. We provide an updated list of young stellar objects (YSOs) with new classifications and source fluxes from previous works, identifying 369 YSOs in Perseus with the Spitzer data set. By synthesizing the IRAC and MIPS maps of Perseus and building on the work of previous papers in this series, we present a current census of star formation across the cloud and within smaller regions. Sixty-seven percent of the YSOs are associated with the young clusters NGC 1333 and IC 348. The majority of the star formation activity in Perseus occurs in the regions around the clusters to the eastern and western ends of the cloud complex. The middle of the cloud is nearly empty of YSOs despite containing regions of high visual extinction. The western half of Perseus contains three-quarters of the total number of embedded YSOs (Class 0+I and Flat spectral energy distribution sources) in the cloud and nearly as many embedded YSOs as Class II and III sources. Class II and III objects greatly outnumber Class 0+I objects in eastern Perseus and IC 348. These results are consistent with previous age estimates for the clusters. Across the cloud, 56% of YSOs and 91% of the Class 0+I and Flat sources are in areas where A v ? > ≥ ? > 5 mag, indicating a possible extinction threshold for star formation.