Miracle-dz/UniFAR-FTUs huggingface dataset:
NEUROPSYCHOLOGICAL AND NEUROIMAGING PERSPECTIVES ON CONCEPTUAL KNOWLEDGE: AN INTRODUCTION

The modern era of study of the representation of object concepts in the human brain began in 1983 with a report by Warrington and McCarthy of a patient with preserved knowledge for animals, foods, and flowers, relative to inanimate objects (Warrington & McCarthy, 1983). This was followed the next year by a report of four patients with the opposite pattern of preserved and impaired category knowledge (Warrington & Shallice, 1984). Specifically, these patients presented with a relatively selective impairment for knowing about living things and foods. Since publication of these seminal case studies, over 100 patients have been reported with a category-specific deficit for biological categories (living things, especially four-legged animals), relative to inanimate objects (especially tools and other artifacts), and more than 25 cases with the opposite pattern of deficit (Figure 1). Heightened appreciation of the importance of these clinical cases for understanding the organisation of conceptual knowledge, as well as for object recognition, the organisation of the lexicon, and the storage of long-term memories, has also motivated an increasing number of functional brain-imaging studies of object category representation in the normal human brain. The goal of this special issue of Cognitive Neuropsychology is to provide a forum for new findings and critical, theoretical analyses of existing data from patient and functional brainimaging studies.
تاثیر افزودن نانوکامپوزیت CNT/Ag به مزوپور TiO2 و بررسی خواص فوتوکاتالیستی جهت تخریب متیل اورانژ

هلاقم تاعلاطا : هديكچ : تفايرد : 27 رهم 1395 شريذپ : 3 دنفسا 1395 هژاو ديلك : روــ پوزم TiO2 ت وناــ ن ،هرــ قن ، بوــ ي ــصاخ ،نبرــ ك تي لاتاكوتوف يتســ ي ، ونان زوپماك تي رد قيقحت رضاح هولاع رب تخاس روپوزم TiO2 اب حطس هژيو ،لااب ريثات ندوزفا ونان بويت نبرك ي هب اهنت يي و هب هارمه تارذ هرقن زلف ي هب تروص غ ي قتسمر ي م رب ور ي تياده كيرتكلا ي روپوزم TiO2 دروم سررب ي رارق تفرگ . فده سررب ي صاخ ي ت لاتاكوتوف ي تس ي روپوزم TiO2 اب ندوزفا هرقن و ونان بوـيت ـنبرك ي تـسا . زتنـس روپوزم TiO2 شيپ اب لژ لس شور هب و دياسكوپورپوزيا ميناتيت هزاس P123 تفرگ ماجنا . وناـن حطس سپس تين ديسا اب نبرك بويت نبرـك بوـيت وناـن حطـس رـب هرـقن تارتين زا هدافتسا اب هرقن نويتاك و دش لاعف كير تسشن . دش ليدبت يزلف هرقن هب تارديه روب ميدس طسوت هرقن نوي و رد رخآ روـپوزم TiO2 بوـيت وناـن اـب يزلف هرقن طسوت هدش لاعف هب تروص ناكم ي ك ي طولخم دش . روپوزم راتخاس زير رد يزاف زيلانآ يسررب TiO2 طسوت SEM , TEM و BET تروص تفرگ . اتن ي ج LXRD ناشن داد هك روـپوزم TiO2 كشـت ي ل و حطـس و ي هژ نآ m/gr 90 مخت ي ن هدز دش . رد همادا زا شور سررب ي صاخ ي ت لاتاكوتوف ي تس ي و امزآ ي ش رخت ي ب تم ي ل ژناروا رد روضح اهدصرد ي فلتخم لوم ي ونان زوپماك ي ت هرقن هدافتسا درگ ي د . اتن ي ج هب تسد هدـمآ زا اـمزآ ي ش رخت ي ب تم ي ل ژناروا ناشن داد هك هنومن Ag-CNT)60-(TiO2)1 50 / 15 (% هك اراد ي wt % 15 هرقن ـم ي ،دـشاب اراد ي صاخ ي ت وتوف لاتاك ي تس ي رتهب ي زا اس ي ر هنومن اه تسا .
User Experience in Added Value Location-Based Mobile Music Service

In this paper, the user experience in added value location-based mobile music service called the City Night Life (CNL) is evaluated and analyzed. The CNL service provides recommendations about entertainment premises in the proximity by matching their music styles with the user’s personal music preferences. Entertainment premises are shown on a map interface and are marked with colors according to their match. The paper presents the components of the CNL service, the music profile, matching algorithm and the map-based user interface in a web browser. The user evaluation with 53 test users assessed the feasibility and business potential of the CNL service. Data was collected with both quantitative questionnaires and short interviews. The results indicate that the CNL service will be most useful in relatively large, unfamiliar cities. Furthermore, the matching algorithm was perceived to perform quite well.
Development of an in-pipe inspection robot for narrow pipes and elbows using pneumatic artificial muscles

Pipe failures resulting from corrosion or other forms of deterioration are a common occurrence. To combat this problem, in-pipe inspections are required Fiberscopes are currently used as industrial endoscopes to inspect pipes for defects. However, because of friction, fiberscopes cannot be inserted into pipes that are more than 15 m long or have complex shapes such as elbows. Therefore, in-pipe inspection robots need to be self-propelling. In this study, we developed two robots that mimic the peristaltic crawling motion of earthworms as a locomotion mechanism. These robots consist of several units. Each unit has an artificial muscle that is driven by pneumatics. Each of the robots has an internal space to hold inspection apparatus. We conducted several experiments with a robot inside a 25A acrylic pipe (diameter: 27 mm). These experiments were conducted to examine the relationship between the locomotion speed and motion patterns. The robot was able to pass through the elbows that were positioned in both horizontal and vertical planes. In addition, we developed a smaller robot for a 15A pipe (diameter: 16 mm) to examine the relationship between the locomotion speed and motion patterns. Our findings exhibited good performance by the robots.
Pex4Fun: Teaching and learning computer science via social gaming

Pex4Fun from Microsoft Research is a web-based serious gaming environment for teaching computer science. Pex4Fun can be used to teach and learn computer programming at many levels, from high school all the way through graduate courses. With Pex4Fun, a student edits code in any browser — with Intellisense — and Pex4Fun executes it and analyzes it in the cloud. Pex4Fun connects teachers, curriculum authors, and students in a unique social experience, tracking and streaming progress updates in real time. In particular, Pex4Fun finds interesting and unexpected input values that help students understand what their code is actually doing. The real fun starts with coding duels where students write code to implement a teacher's specification. Pex4Fun finds any discrepancies in behavior between the student's code and the specification. This tutorial equips participants with skills and knowledge of using Pex4Fun in teaching and learning, such as solving puzzles, solving coding duels, exploring course materials in feature courses, creating and teaching a course, creating and publishing coding duels, and learning advanced topics behind Pex4Fun.
A novel porous sulfonated poly(ether ether ketone)-based multi-layer composite membrane for proton exchange membrane fuel cell application

An advanced sulfonated poly(ether ether ketone) (sPEEK)-based multi-layer composite membrane with high performance and durability is fabricated, which consists of a porous sPEEK base membrane, two transition layers (TLs) and two PFSA outer layers (PLs). These porous sPEEK base membranes with nanoscale pores are prepared first through a vapor induced phase inversion (VIPI) method. Owing to the higher porosity and the denser distribution of sulfonic acid clusters, the cell performance and physical properties of porous sPEEK membranes are superior to those of sPEEK membranes prepared by a solvent casting method. The multi-layer structure of this composite membrane results in reduced swelling and improved water uptake, and eventually brings about a high proton conductivity. Single cell tests indicate that the multi-layer composite membrane has a higher cell performance and more outstanding durability in comparison with sPEEK membranes. The growth rate of hydrogen crossover current density of this composite membrane is much lower than that of sPEEK membranes, proving the effectiveness of PLs in improving the chemical durability of sPEEK-base membranes. After long-term stability tests, the sPEEK multi-layer composite membrane still shows a good cell performance, especially at low relative humidity (RH).
Ensemble of Piecewise FDA Based on Spatial Histograms of Local (Gabor) Binary Patterns for Face Recognition

Spatial histogram* of Local Binary Pattern (LBP) and Local Gabor Binary Pattern (LGBP) has been successfully applied to face recognition and achieved state-of-the-art performance. Both LBP and LGBP utilize traditional histogram matching method such as histogram intersection for face classification. In this paper, we propose a statistical extension for L(G)BP similarity computation by introducing Fisher Discriminant Analysis (FDA) of the L(G)BP spatial histogram ¿features¿. More than a simple application of FDA, we have constructed Ensemble of Piecewise FDA (EPFDA) classifiers, each of which is designed using one segment of the entire spatial histogram features. We show that this extension not only greatly reduces the feature dimension but also brings very impressive performance improvement. Especially, we have made a large step to recognizing all the faces in the standard FERET face database.
Power-gating-aware high-level synthesis

A problem inherent in designing power-gated circuits is the overhead of the state-retention storage required to preserve the circuit state in standby mode. Reducing the amount of retention storage is known to be the most influential factor in minimizing the loss of the benefit (i.e. power saving) by power-gating. In this paper, we address a new problem of high-level synthesis with the objective of minimizing the size of retention storage to be used in the power-gated circuits. Specifically, we propose a complete design framework, called HLS-pg, that starts from the power-gating-aware scheduling, allocation, and controller synthesis down to the final circuit layout. The key contribution of the work is to solve the power-gating-aware scheduling problem, namely, scheduling operations that minimizes the number of retention registers required at the power-gating control step, while satisfying resource and latency constraints. In experiments on benchmark designs implemented in 65-nm CMOS technology, HLS-pg generates circuits with 27% less leakage current, with 6% less circuit area and wirelength, compared to the power-gated circuits produced by conventional high-level synthesis.
A 3D Map Reconstruction Algorithm in Indoor Environment Based on RGB-D Information

In this paper, we proposed an improved Iterative Closest Point (ICP) algorithm which based on features with the discrete selection mechanism for motion estimation to reconstruct 3D map in indoor environment. We started with detecting, descripting and matching SURF features in consecutive RGB images. Moreover, due to the registration accuracy would be influenced by the initial pose of features in original ICP algorithm based on features, we did initial registration using RANdom Sample Consensus (RANSAC) algorithm to optimize the initial pose of features and remove the outliers. Furthermore, we presented a secondary registration method to calculate the refined transformation between point-clouds in the different coordinate systems with features selected by discrete selection mechanism. Finally, we optimized the global map using General Gragh Optimization (G2O) framework combining with key frames, and reconstructed the 3D map. We tested the performance of our proposed algorithm in six public datasets. The results demonstrate that the algorithm is feasible and effectively.
D2Pt: Privacy-Aware Multiparty Data Publication

Today, publication of medical data faces high legal barriers. On the one hand, publishing medical data is important for medical research. On the other hand, it is neccessary to protect peoples’ privacy by ensuring that the relationship between individuals and their related medical data remains unknown to third parties. Various data anonymization techniques remove as little identifying information as possible to maintain a high data utility while satisfying the strict demands of privacy laws. Current research in this area proposes a multitude of concepts for data anonymization. The concept of k-anonymity allows data publication by hiding identifying information without losing its semantics. Based on k-anonymity, the concept of t-closeness incorporates semantic relationships between personal data values, therefore increasing the strength of the anonymization. However, these concepts are restricted to a centralized data source. In this paper, we extend existing data privacy mechanisms to enable joint data publication among multiple participating institutions. In particular, we adapt the concept of t-closeness for distributed data anonymization. We introduce Distributed two-Party t-closeness (D2Pt), a protocol that utilizes cryptographic algorithms to avoid a central component when anonymizing data adhering the t-closeness property. That is, without a trusted third party, we achieve a data privacy based on the notion of t-closeness.
OpenFlow‐based low‐overhead and high‐accuracy SDN measurement framework

Network measurement is an essential part of network management. Software‐defined networking (SDN) is a promising networking architecture to make network management more flexible by separating the control plane and the data plane. Recently, the corresponding research studies about SDN measurement have not attracted much attention due to its preliminary stage, especially the currently proposed SDN measurement methods that have been suffering from high network overhead, low accuracy, and incompatibility. To address these issues, this paper proposes an OpenFlow‐based low‐overhead and high‐accuracy (OpenLh) SDN measurement framework. Firstly, to decrease the load of edge switch and network overhead, we propose a switch querying algorithm to measure the first and last switches per flow periodically. Secondly, a novel adaptive polling algorithm is designed to adjust the polling interval, which reduces network overhead while optimizing measurement accuracy. Furthermore, we quantitatively analyze the trade‐off among measurement overhead, accuracy, and minimum time interval. Finally, the POX controller is utilized to implement OpenLh, and its effectiveness is verified by Mininet. The simulation results demonstrate that OpenLh can obtain lower network overhead without compromising measurement accuracy than the chosen benchmarks.
A Study of Turning Operation by Oil-Water Combined Mist Lubrication Machining Method

The mist process using small amount of cutting oil has been the most effective cutting method in interrupted cutting process, such as end milling. In continuous cutting, however, the chips always cover the cutting edge of the cutting tools. The feasibility of mist process as an effective method has never been proved previously. Therefore, the purpose of this study is to investigate the potential application of mist process in continuous cutting. In particular, the so-called oil-water combined mist process method was studied. This process is to supply an oil-water combined mist that includes water and cutting oil. The heat produced in cutting process had been removed from cutting edge with the vaporization of the water mist and the oil mist lubricated the cutting edge of the cutting tool simultaneously. Therefore, the application of the oil-water combined mist provided better cooling and lubricating capability in the mist process. The experimental results show that the oil-water combined mist process is effective for continuous cutting processes, especially in the situation that the lubricant is difficult to reach the cutting edge. This process also improves the quality of the machining surface, reduces the wear off of cutting tools and provides a cleaner manufacturing environment than traditional continuous cutting processes.
Lumbar lordosis and pelvic inclination in adults with chronic low back pain.

BACKGROUND AND PURPOSE The causes of lumbopelvic imbalances in standing have been widely accepted by physical therapists, but there is a lack of scientific evidence available to support them. We examined the association between 9 variables and pelvic inclination and lumbar lordosis during relaxed standing. SUBJECTS Thirty men and 30 women with chronic low back pain (CLBP) for at least 4 months were examined (mean age=54.9 years, SD=9, range=40.4-69.8). METHODS Multiple linear regression modeling was used to assess the association of pelvic inclination and the magnitude of lumbar lordosis in standing with age, sex, body mass index (BMI), Oswestry Back Pain Disability Questionnaire (ODQ) scores, physical activity level, hip flexor muscle length, abdominal muscle force, and range of motion (ROM) for lumbar flexion and extension. RESULTS In women, age, BMI, and ODQ scores were associated univariately and multivariately with pelvic inclination. In men, lumbar extension ROM was related univariately to pelvic inclination; age, lumbar extension ROM, and ODQ scores were associated multivariately. Lumbar lordosis was associated univariately with only lumbar extension ROM for women and men. A weak correlation was found between angle of pelvic inclination and magnitude of lumbar lordosis in standing (r=. 31 for women, r=.37 for men). CONCLUSION AND DISCUSSION The odds ratio of having CLBP is increased if the score on the double-leg lowering test for abdominal muscles exceeds 50 degrees for men and 60 degrees for women. In patients with CLBP, the magnitude of the lumbar lordosis and pelvic inclination in standing is not associated with the force production of the abdominal muscles.
A study on Japanese prosodic pattern and its modeling in restricted speech

The report proposes a simple and practical model for generating relatively monotonous, but sufficiently natural, prosodic features by analyzing restricted natural speech. The basic assumption of this model is that the natural F0 pattern can be obtained without complicated linguistic analysis. To achieve this prosodic control, the authors have analyzed and modeled this speech subject that is recoded so that it will appear in the following. First they composed the hypothesis that a Japanese major phrase (MP) could be modeled with the combination of a minor phrase (mp) sequence limited to fewer than three. The number of the combination is decided by the accentual type of minor phrase and intrasentence position. The combination types have 28 patterns. To confirm the hypothesis, the restricted speech (RSP) subjects were collected and analyzed by having the speaker utter the subject sentence without emotional effect or attention to prosodic features. Furthermore, to evaluate the performance of the model, a pattern-matching process (two-level DP) was used between the synthesized F0 pattern and the restricted real F0 pattern. They thus confirmed that the model would create a synthesized F0 pattern sufficiently similar the restricted-speech patterns. The synthesized speech using this model sounds relatively monotonous, but is sufficiently natural as compared with general spontaneous speech.
A demo search engine for products

Most product search engines today build on models of relevance devised for information retrieval. However, the decision mechanism that underlies the process of buying a product is different than the process of locating relevant documents or objects. We propose a theory model for product search based on expected utility theory from economics. Specifically, we propose a ranking technique in which we rank highest the products that generate the highest surplus, after the purchase. We instantiate our research by building a demo search engine for hotels that takes into account consumer heterogeneous preferences, and also accounts for the varying hotel price. Moreover, we achieve this without explicitly asking the preferences or purchasing histories of individual consumers but by using aggregate demand data. This new ranking system is able to recommend consumers products with "best value for money" in a privacy-preserving manner. The demo is accessible at http://nyuhotels.appspot. com/
Automatic phonetic transcription: An overview

Both in linguistics and in speech technology phonetic transcriptions (PTs) are often needed. Given the many drawbacks in making manual PTs, researchers have been looking for ways to obtain PTs automatically. In this paper an overview is presented of automatic phonetic transcription (APT). Several aspects of APT are discussed: evaluation, generation and usability. Evaluation is needed to determine the quality of APTs. Usually this is done by comparing the APTs with human reference transcriptions. Generating APTs can be done in several ways, e.g. by means of phone recognition or forced recognition. The quality of the generated APTs can be enhanced by optimizing the automatic speech recognition systems used to make the APTs. In spite of the current limitations of ASR technology, APTs already offer some important advantages for phonetic research. In this paper we explain how.
Testing Forecast Optimality Under Unknown Loss

Empirical tests of forecast optimality have traditionally been conducted under the assumption of mean squared error loss or some other known loss function. In this article we establish new testable properties that hold when the forecaster's loss function is unknown but testable restrictions can be imposed on the data-generating process, trading off conditions on the data-generating process against conditions on the loss function. We propose flexible estimation of the forecaster's loss function in situations where the loss depends not only on the forecast error, but also on other state variables, such as the level of the target variable. We apply our results to the problem of evaluating the Federal Reserve's forecasts of output growth. Forecast optimality is rejected if the Fed's loss depends only on the forecast error. However, the empirical findings are consistent with forecast optimality provided that overpredictions of output growth are costlier to the Fed than underpredictions, particularly during periods of low economic growth.
Flavour Chemistry of Chicken Meat: A Review

Flavour comprises mainly of taste and aroma and is involved in consumers’ meat-buying behavior and preferences. Chicken meat flavour is supposed to be affected by a number of ante- and post-mortem factors, including breed, diet, post-mortem ageing, method of cooking, etc. Additionally, chicken meat is more susceptible to quality deterioration mainly due to lipid oxidation with resulting off-flavours. Therefore, the intent of this paper is to highlight the mechanisms and chemical compounds responsible for chicken meat flavour and off-flavour development to help producers in producing the most flavourful and consistent product possible. Chicken meat flavour is thermally derived and the Maillard reaction, thermal degradation of lipids, and interaction between these 2 reactions are mainly responsible for the generation of flavour and aroma compounds. The reaction of cysteine and sugar can lead to characteristic meat flavour specially for chicken and pork. Volatile compounds including 2-methyl-3-furanthiol, 2-furfurylthiol, methionol, 2,4,5-trimethyl-thiazole, nonanol, 2-trans-nonenal, and other compounds have been identified as important for the flavour of chicken. However 2-methyl-3-furanthiol is considered as the most vital chemical compound for chicken flavour development. In addition, a large number of heterocyclic compounds are formed when higher temperature and low moisture conditions are used during certain cooking methods of chicken meat such as roasting, grilling, frying or pressure cooking compared to boiled chicken meat. Major volatile compounds responsible for fried chicken are 3,5-dimethyl-1,2,4-trithiolanes, 2,4,6-trimethylperhydro-1,3,5-dithiazines, 3,5-diisobutyl-1,2,4-trithiolane, 3-methyl-5-butyl-1,2,4-trithiolane, 3-methyl-5-pentyl-1,2,4-trithiolane, 2,4-decadienal and trans-4,5-epoxy-trans-2-decenal. Alkylpyrazines were reported in the flavours of fried chicken and roasted chicken but not in chicken broth. The main reason for flavour deterioration and formation of undesirable “warmed over flavour” in chicken meat products are supposed to be the lack of α-tocopherol in chicken meat.