Miracle-dz/UniFAR-FTUs huggingface dataset:
A Method for Mobile Photo Recommendation

Spending a lot of time to find right photos from a large album in a mobile device is very inefficient. To solve the problem, various methods have been suggested, which automatically present the photos that users are looking for. In this paper, in order to automatically choose photos that a user wants, a photo recommendation system using visual information is proposed. The recommendation method divides photos and detects visual feature points using entropy. From the experiment of using the photo recommendation program suggested in this paper, the users showed more than 90% of satisfaction rate. As the result of searching for a specific photo, the suggested method by this paper has the higher F-measure by average 17% than the existing recommendation methods. Furthermore, its searching time is 4 times faster than that of existing methods
Sorption Characteristics of Cu(II) and Pb(II) onto Syrian Modified Bentonite

Syrian bentonite clay has been modified by sodium aluminate, and we studied exchange adsorption capacities, removal efficiency, distribution coefficients, and adsorption kinetics of Cu(II) and Pb(II) ions from aqueous solutions over a concentration range of 0.0125- 0.1 mol/L, shaking time of 72 hrs, and modified bentonite mass from 1.0 to 3 g. The sorption process of both cations follows the pseudo second-order kinetics, and the removal efficiency of about 100% was observed, and the maximum exchange adsorption capacities were 3.10 mmol/g and 2.10 mmol/g for Cu(II) and Pb(II) ions respectively, whereas the distribution coefficients were 307 mg/L for copper and 175 mg/L for lead ions.
Optimal load shedding strategy in power systems with distributed generation

An optimal load shedding strategy for power systems with multiple distributed generation is presented. According to distributed generation's role in emergency state, they are classified as the central generation type, nondispatchable type and storage type. The dynamic and static models of each type following a major disturbance are developed. Based on the analysis of a major disturbance in a grid system, interconnection or distributed generation system, the load shedding is formulated as an optimization problem subject to system, operation and security constraints. To handle the differential equations that represent the dynamics of different types of generators, a discretization technique is used to transfer differential equations into algebraic equations. The final nonlinear optimization problem is then solved by mathematical programming. The method is first tested on a small system. Then a 30-bus distribution system with multiple distributed generation is adopted to test the proposed method for a more practical application.
Impact of biogenic volatile organic compound emissions on ozone formation in the Kinki region, Japan

The standard Biogenic Volatile Organic Compound (BVOC) emissions from ten Japanese plant species were measured by using a growth chamber where temperature and light intensity can be controlled. These species were selected due to their abundance in the estimated domain of the Kinki region. The BVOC emissions in Kinki region during July 2002 were estimated by revising the standard BVOC emissions from temperature and light intensity which were calculated by MM5. The two types of the ozone calculation were carried out by CMAQ. One was the calculation with BVOC emissions (BIO). Another was the calculation that assumes BVOC emissions to be zero (NOBIO). The maximum ozone concentrations of BIO reasonably reproduced the observed maximum concentrations in especially the fine days. The hourly differences of monthly average ozone concentrations between BIO and NOBIO had the maximum value of 6ppb at 2 p.m. The explicit difference appeared in urban area, though the place where the maximum of difference occurred changed. It was shown that the BVOC emitted from the forest area strongly affected the ozone generation in the urban area.
Second-Order Separation by Frequency-Decomposition of Hyperspectral Data

In this paper, we consider the problem of b lind image separation by taking advantage of the sparse representation of the hyperspectral images in the DCT-domain. Blind Source Separation (BSS) is an important field of research in signal and image processing. These images are produced by sensors which provide hundreds of narrow and adjacent spectral bands. The idea behind t ransform do main is that we can restructure the signal/image values to give transform coefficients more easily to separate. This work describes a novel approach based on Second-Order Separat ion by Frequency-Decomposition, termed SOSFD. This technique uses joint information fro m second-order statistics and sparseness decomposition. Furthermore, the proposed approach has the added advantages of the DCT and second-order statistics in order to select the optimu m data informat ion. In fact, representing the hyperspectral images in well suited database functions allows a good distinction of various types of objects. Results show the contribution of this new approach for the hyperspectral image analysis and prove the performance of the SOSFD algorith m for hyperspectral image classification. On the opposite of the original images that are represented according to correlated axes, the source images extracted fro m the proposed approach are represented according to mutually independent axes that allow a more efficient representation of information contained in each image. Then, each source can represent specifically certain themes by exploit ing the link between the frequency-distribution and structural composition of the image. Th is application is of utmost importance in the classification process and could increase the reliability of the analysis and the interpretation of the hyperspectral images.
A model for correlated failures in N-version programming

The multi-version programming technique is a method to increase the reliability of safety critical software. In this technique a number of versions are developed and a voting scheme is used before a final result is provided. In the analysis of this type of systems, a common assumption is the independence of the different versions. However, the different versions are usually interdependent and failures are correlated due to the nature of the product design and development. One version may fail simultaneously with another version because of a common cause. In this paper, a model for these dependent failures is developed and studied. Using the developed model, a reliability function can be easily computed. A method is also proposed to estimate the parameters of the model. Finally, as an application of the developed model, an optimal testing resource allocation problem is formulated and a genetic algorithm is presented to solve the problem.
Teaching Students, Not Standards: Threshold Crossings for Students and Instructors Alike

The new ACRL Framework for Information Literacy for Higher Education is an opportunity for IL instructors to ask themselves whether their current approaches to instruction are meeting the higher goals of IL education. Instructors might re-examine their pedagogical approaches by considering their own knowledge practices and dispositions in teaching IL. How might we best create a space in which the desired student knowledge practices and dispositions flourish? How can we approach IL education as fellow students – ones who just happen to be at a different point on the same path of lifelong learning?
Abortable and Query-abortable Types and Their Efficient Implementation

We introduce abortable and query-abortable object types intended for implementation in asynchronous shared-memory systems with low contention. Implementations of such types behave like ordinary objects when accessed sequentially, but may abort operations when accessed concurrently. An aborted operation may or may not take effect, i.e., cause a state transition, and it returns no indication of which possibility occurred. Since this uncertainty can be problematic, a query-abortable type supports a QUERY operation that each process can use to determine its last non-QUERY operation on the object that caused a state transition, and the response associated with this state transition. Our research is closely related to obstruction-free implementations (introduced by Herlihy, Luchangco and Moir) and responsive obstruction-free implementations (introduced by Attiya, Guerraoui and Kouznetsov). Like abortable and query-abortable types, these implementations may exhibit degraded behaviour in the face of contention. We show that abortable registers—registers strictly weaker than safe registers—can be used to obtain obstruction-free and responsive obstruction-free implementations for any type. We present universal constructions for abortable and query-abortable types that are novel and efficient in the number of registers used. Specifically, they are based on a simple timestamping mechanism for detecting concurrent executions, and, in systems with n processes, they use only n abortable registers or only O(n 2) single-reader, single-writer abortable registers. The timestamping mechanism we introduce is based on the inc&read counter type and appears to be interesting in its own right. As a generalization, we study the k-inc&read counter types, for k > 0. We also identify a potential problem with correctness properties based on step contention: with such properties, the composition of correct object implementations may result in an implementation that is not correct. In other words, implementations defined in terms of step contention are not always composable. To avoid this problem, we introduce a property based on interval contention, namely non-triviality, to define the correct behaviour of abortable and query-abortable object implementations.
Automatic blur detection for meta-data extraction in content-based retrieval context

During the last few years, image by content retrieval is the aim of many studies. A lot of systems were introduced in order to achieve image indexation. One of the most common method is to compute a segmentation and to extract different parameters from regions. However, this segmentation step is based on low level knowledge, without taking into account simple perceptual aspects of images, like the blur. When a photographer decides to focus only on some objects in a scene, he certainly considers very differently these objects from the rest of the scene. It does not represent the same amount of information. The blurry regions may generally be considered as the context and not as the information container by image retrieval tools. Our idea is then to focus the comparison between images by restricting our study only on the non blurry regions, using then these meta data. Our aim is to introduce different features and a machine learning approach in order to reach blur identification in scene images.
Real-Time Control and Data Exchange Method in Software CNC System Based on PC

A new real-time control method for software CNC based on PC is proposed, and the data exchange methods are given. Both external and system clock interrupt are adopted as interpolation cycle to make up software CNC on PC. The data between the front procedures, interpolation module, and background procedures, application module, is exchanged by WDM. The method is verified in experiment, and the resolves show that the speed control and the interpolation operator are right, and whole software CNC is significantly improved.
Measuring Tape-Like Sampling Arm and Drill for Sampling Lunar Regolith

Abstract For the task of shallow lunar regolith sampling, we have designed a novel Measuring Tape-like Sampling Arm and Drill (MTS) which is a kind of flexible robot. The advantages of the sampling arm are that it has a small shrink volume, long working distance, light weight, low power consumption and good adaptivity, which is driven by one motor only. Furthermore, it has a large reverse torque with a short force arm, so the pushing force is large enough for the end-effector to penetrate into the lunar regolith. The sampling head which includes two opposite rotating parts has no-reaction screw force. The vibrator located in the sampling head can vibrate at frequencies ranging from 1 to 42Hz and can result in resonance of the sampling head. Therefore, it can improve the efficiency of thrusting, sampling and casting throw. We have carried out theoretical analysis, simulations and experimental studies and it is has been proved that the sampler can sample quantitatively at a of depth of 10 cm in simulated lunar regolith (model CAS-1), cement and sand.
Tense, Aspect, Modality and Evidentiality in Australian Languages: Foreword

The articles included in this issue of the Australian Journal of Linguistics, along with the article ‘The functions of reported speech and thought in Umpithamu narratives’ by Jean-Christophe Verstraete in 31(4), represent a thematic collection of work conducted as part of the Tense, Aspect, Modality and Evidentiality in Australian Aboriginal Languages (TAMEAL) project, funded under a European Commission FP7 Marie-Curie International Research Scholar Exchange Scheme (2009 2013). The project has been designed to bring together the grammatical description and typological investigation of Australian languages with the formal semantic investigation of the categories of tense, aspect, modality and evidentiality (TAME), in the understanding that these areas have much to offer one another. The two principal goals of the project are to further our understanding of Australian languages through detailed description of their TAME categories armed with the most current analytical tools of semantic and pragmatic theory, and to refine those theories through their reflective application to that description. To date, most work in the development of a unified theoretical framework for TAME has relied on analyses of these categories in the better known languages of Europe, but ultimately, a successful general theory must be informed by and seek to explain patterns in a much wider range of languages. Australian Aboriginal languages offer fertile ground for TAME studies. The apparent rarity of inflected evidentials in these languages demands confirmation and also leads us to investigate coding of
The feasibility of using smartphone apps as treatment components for depressed suicidal outpatients

Mental health smartphone apps could increase the safety and self-management of patients at risk of suicide, but it is still unclear whether it is feasible to integrate such apps into routine mental healthcare. This study reports on the feasibility of using a safety planning app (BackUp) and a self-monitoring app (mEMA) as components of the routine treatment of depressed outpatients with suicidal ideation. Clinicians were trained in working with both of the apps, and they invited their eligible patients with suicidal ideation for study participation. Patients used the apps for 3 months and discussed these with their clinician during treatment. Patients completed assessments at baseline (T0), 4 weeks (T1) and post-test (T2, 12 weeks after baseline). Both patients and clinicians also participated in telephone interviews. Feasibility was assessed in terms of usability (score > 70 on System Usability Scale, SUS), acceptability (score > 20 on Client Satisfaction Questionnaire-8, CSQ-8), and uptake (sufficient rates of component completion and app usage in treatment). The sample included 17 adult outpatients (52.9% male, age range 20–50 years) diagnosed with a depressive disorder and suicidal ideation at baseline. BackUp was rated by patients at above the cut-off scores for usability (SUS mean score at T1 75.63 and at T2 77.71) and acceptability (CSQ-8 mean score at T1 23.42 and at T2 23.50). mEMA was similarly rated (SUS mean score at T1 75.83 and at T2 76.25; CSQ-8 mean score at T1 23.92 and at T2 22.75). Telephone interviews with patients and clinicians confirmed the usability and acceptability. The uptake criteria were not met. Our findings suggest that mobile safety planning and mobile self-monitoring can be considered acceptable and usable as treatment components for depressed suicidal outpatients, but the integration of apps into routine treatment needs to be further explored.
Comparison of Application Effect of Natural Language Processing Techniques for Information Retrieval

In this paper, some applications of natural language processing techniques for information retrieval have been introduced, but the results are known not to be satisfied. In order to find the roles of some classical natural language processing techniques in information retrieval and to find which one is better we compared the effects with the various natural language techniques for information retrieval precision, and the experiment results show that basic natural language processing techniques with small calculated consumption and simple implementation help a small for information retrieval. Senior high complexity of natural language processing techniques with high calculated consumption and low precision can not help the information retrieval precision even harmful to it, so the role of natural language understanding may be larger in the question answering system, automatic abstract and information extraction.
Optimal Scheduling for Even-Numbered Team Athletic Conferences

Abstract An optimal approach is applied to even numbered athletic conferences to minimize the total distance traveled by the conference teams when playing conference games. A representative set of constraints is imposed on the problem that is typical of conferences. Only college basketball conferences are actually considered but application could be made to any athletic conference with similar restrictions. Two possible solutions are investigated. The first is a zero-one programming model and the second is an iterative approach leading to the development of a scheduling algorithm. Two examples are provided to show practical application of the algorithm by applying it to the Big Eight and Southeastern basketball conferences. Significant reductions in miles traveled are found for both examples.
A Random Digit Search (RDS) Method for Sampling of Blogs and Other User-Generated Content

Blogs are arguably the most popular genre of user-generated content (UGC), which make blogs a gold mine for social science research. However, existing research on blogs has suffered from nonprobability samples collected either manually or by computerized crawling based on random walks method. The current article presents a probability sampling method for blogs, called random digit search (RDS), that is modified from the popular ‘‘random digit dialing’’ (RDD) method used in telephone surveys. The RDS method was tested in a study of Sina Blog, a popular blog service provider (BSP) in China. The results show that, while ‘‘random walks’’ sampling tends to oversample popular/active blogs, probability samples generated by RDS yield consistent and precise estimates of population parameters. Although the RDS takes advantage of the numeric identification (ID) system used on Sina Blog, the general principles may be applicable to other BSPs and many other genres of UGC.
MOS implementation of winner-take-all network with application to content-addressable memory

Implementation of a winner-take-all (WTA) network suitable for implementing a nearest-match content-addressable memory (CAM) is presented. The resolution of the network in differentiating between words with large bit mismatches is presented. A measure of the time performance of the network is also given. A fully functional 16 word by 12 bit chip has been fabricated through MOSIS using 2 mu m double-metal CMOS technology. >
Dynamic Role of Green Energy Efficiency and Climate Technologies in Realizing Environmental Sustainability: Fresh Insights From China

Amid rising industrialization and economic progress, China has shown exponential growth in energy and fossil fuel consumption; therefore, it faces great global concern and widespread criticism for energy and fuel conservation to reduce fuel-related emissions. In addition, the recent spread of COVID-19 instigates the impact of environmental pollution, exaggerates the virus intensity, and lowers people’s immunity due to poor air quality. Therefore, this study explored the role of green energy efficiency and climate technologies in achieving carbon neutrality in China using an advanced quantile autoregressive distributed lag (QARDL) framework. The results indicated that green energy efficiency and climate technologies significantly reduce environmental pollution across all quantiles in the long run. In contrast, urbanization enhances environmental degradation at lower and higher emissions quantiles, while trade only promotes environmental pollution at lower quantiles. These findings suggested using alternative energy sources and carbon-reducing technologies to ensure a sustainable environment.
Estimation of Censored Data Water Quality Values Using Decomposable Markov Networks

While application of probabilistic inference modeling to large and complex datasets has been limited both as a result of computational difficulties, and implicit/explicit assumptions of normality and lognormality, an alternative is developed herein, based on advancements in graphical modeling using decomposable Markov networks (DMNs). Uncertainties in estimates for censored and/or missing data, are reduced by quantifying dependencies among quality attributes using DMNs. The dependence structure is modeled by a DMN, and established using training data. The improvement from learning DMNs employing the training data is demonstrated using water quality information from water distribution systems. The approach provides a general alternative to traditional techniques for estimating values for censored data.
Time tracking and multidimensional influencing factors analysis on female breast cancer mortality: Evidence from urban and rural China between 1994 to 2019

Background There are huge differences in female breast cancer mortality between urban and rural China. In order to better prevent breast cancer equally in urban and rural areas, it is critical to trace the root causes of past inequities and predict how future differences will change. Moreover, carcinogenic factors from micro-individual to macro-environment also need to be analyzed in detail. However, there is no systematic research covering these two aspects in the current literature. Methods Breast cancer mortality data in urban and rural China from 1994 to 2019 are collected, which from China Health Statistical Yearbook. The Age-Period-Cohort model is used to examine the effects of different age groups, periods, and birth cohorts on breast cancer mortality. Nordpred project is used to predict breast cancer mortality from 2020 to 2039. Results The age effect gradually increases and changes from negative to positive at the age of 40–44. The period effect fluctuates very little and shows the largest difference between urban and rural areas in 2019. The birth cohort effect gradually decreases with urban-rural effects alternating between strong and weak. In the predicted results, the urban-rural mortality gap becomes first narrow and then wide and shows a trend of younger death. Conclusions From the perspective of a temporal system, the changing trend of breast cancer mortality is highly consistent with the history of social and economic structural changes in China. From the perspective of the theory of social determinants of health, individuals, families, institutions and governments need to participate in the prevention of breast cancer.