nils-herrmann/clean_scirepeval huggingface dataset:
Detecting Spam Review through Sentiment Analysis

Online review can help people getting more information about store and product. The potential customers tend to make decision according to it. However, driven by profit, spammers post spurious reviews to mislead the customers by promoting or demoting target store. Previous studies mainly utilize rating as indicator for the detection. However, these studies ignore an important problem that the rating will not necessarily represent the sentiment accurately. In this paper, we first incorporate the sentiment analysis techniques into review spam detection. The proposed method compute sentiment score from the natural language text by a shallow dependency parser. We further discuss the relationship between sentiment score and spam reviews. A series of discriminative rules are established through intuitive observation. In the end, this paper establishes a time series combined with discriminative rules to detect the spam store and spam review efficiently. Experimental results show that the proposed methods in this paper have good detection result and outperform existing methods.
Bioavailability enhancers of herbal origin: an overview.

Recently, the use of herbal medicines has been increased all over the world due to their therapeutic effects and fewer adverse effects as compared to the modern medicines. However, many herbal drugs and herbal extracts despite of their impressive in-vitro findings demonstrates less or negligible in-vivo activity due to their poor lipid solubility or improper molecular size, resulting in poor absorption and hence poor bioavailability. Nowadays with the advancement in the technology, novel drug delivery systems open the door towards the development of enhancing bioavailability of herbal drug delivery systems. For last one decade many novel carriers such as liposomes, microspheres, nanoparticles, transferosomes, ethosomes, lipid based systems etc. have been reported for successful modified delivery of various herbal drugs. Many herbal compounds including quercetin, genistein, naringin, sinomenine, piperine, glycyrrhizin and nitrile glycoside have demonstrated capability to enhance the bioavailability. The objective of this review is to summarize various available novel drug delivery technologies which have been developed for delivery of drugs (herbal), and to achieve better therapeutic response. An attempt has also been made to compile a profile on bioavailability enhancers of herbal origin with the mechanism of action (wherever reported) and studies on improvement in drug bioavailability, exhibited particularly by natural compounds.
Special Issue: Best of ITS 2010

The current special issue and its companion issue, which is to follow, present the “Best of ITS 2010.” The articles included in these two issues are extended versions of the eight papers ranked highest by the reviewers of the 10th International Conference on Intelligent Tutoring Systems (ITS 2010). We, as Programme co-Chairs for ITS 2010 and the Special Issue editors, are very pleased to say that all authors invited to submit to the special issue responded positively to our request. All of them submitted expanded versions of their conference papers, which then underwent careful peer review for the journal, resulting in further revisions and the articles that you now see. As the Best of ITS 2010, these articles represent an excellent snapshot of where the field of AI in Education (AIED) currently is, and where it is heading. All eight articles in this special issue fall under the broad AIED umbrella. Beyond that simple fact, they defy simple categorizations; they represent diverse technologies and a range of domains. At the same time, we do see important themes and trends, the most striking of which is that all articles involved extensive analysis of data about student student learning with advanced learning technologies. This fact may come as no surprise to those who have followed research in AIED in recent years, but it illustrates vividly that our field is about development of advanced learning technologies while also striving to be an empirical science about how technology can best support and enhance human learning. In line with this overarching theme, many articles in the special issue touch on educational data mining (EDM). In addition, the following themes are represented: student modeling, dialogue analysis and dialogue systems, educational games, hybrid teaching systems, authoring (and automation thereof, using data), and evaluation. We briefly review how the papers exemplify these themes. Educational data mining (EDM). This relatively new area is concerned with developing and applying methods to explore data from educational settings to better understand students and the settings in which they learn (paraphrased from http://www.educationaldatamining.org/). Under this definition, five out of the eight articles in this special issue (and arguably even all eight) touch on EDM. These articles reflect the emergence of increasing amounts of learning data that is ripe for exploitation and, in parallel, a growth of work in new techniques for exploiting that data. Two of these articles present EDM work to develop and refine techniques for student modeling, which has long been a cornerstone of AIED research, fundamental to the goal of personalisation. The article by Baker, Goldstein, and Heffernan frames and tackles an interesting and important problem: is it possible to look at an instructional event (such as a student’s solving a problem step in an intelligent tutoring system) and at the very moment that the event happens predict how much learning it produces? Baker et al. addressed this
A Comparison of Cache Aware and Cache Oblivious Static Search Trees Using Program Instrumentation

An experimental comparison of cache aware and cache oblivious static search tree algorithms is presented. Both cache aware and cache oblivious algorithms outperform classic binary search on large data sets because of their better utilization of cache memory. Cache aware algorithms with implicit pointers perform best overall, but cache oblivious algorithms do almost as well and do not have to be tuned to the memory block size as cache aware algorithms require. Program instrumentation techniques are used to compare the cache misses and instruction counts for implementations of these algorithms.
Very tight coupling between LTE and Wi-Fi for advanced offloading procedures

Wi-Fi access points are now widely deployed by customers or by the operators. This represents an interesting solution to offload the LTE networks. In this paper we propose a very-tight coupling solution between LTE and Wi-Fi, which can be used to enhance the offloading procedures. In this architecture PDCP (Packet Data Convergence Protocol) is used as the common layer between LTE andWi-Fi and the security procedures defined for LTE are reused for Wi-Fi transmission. It is thus possible to use Wi-Fi transmissions even when a terminal is covered by a Wi-Fi access point for a short period. We describe the entities of this architecture, the protocol stack and describe how user packets are transmitted.
Kompetenzentwicklung in Computerspielen am Beispiel von WoW

In diesem Paper wird eine Arbeit dargestellt, in der eine empirische Studie vorgenommen wurde, um Anhaltspunkte für die Kompetenzentwicklung in Computerspielen am Beispiel von WoW (World of Warcraft) im Vergleich zum beruflichen Kontext zu zeigen. Neben der tatsächlichen Übertragbarkeit einiger Kompetenzbereiche zwischen der virtuellen und der realen Welt (z.B. Methodenkompetenz und Sozialkompetenz) zeigte die Studie auch, dass sehr genau das Feld der zu untersuchenden Aspekte in einem MMORPG der Größe von WoW abgesteckt werden muss, um relevante Aussagen zu erhalten.
Evaluating Mental Health Literacy in the Workplace: Development and Psychometric Properties of a Vignette-Based Tool

Early intervention and support for workers with mental health problems may be influenced by the mental health literacy of the worker, their colleagues and their supervisor. There are gaps, however, in our understanding of how to develop and evaluate mental health literacy within the context of the workplace. The purpose of this study was to evaluate the psychometric properties of a new Mental Health Literacy tool for the Workplace (MHL-W).  The MHL-W is a 16-question, vignette-based tool specifically tailored for the workplace context. It includes four vignettes featuring different manifestations of mental ill-health in the workplace, with parallel questions that explore each of the four dimensions of mental health literacy. In order to establish reliability and construct validity, data were collected from 192 healthcare workers who were participating in a mental health training project. Baseline data was used to examine the scale’s internal consistency, factor structure and correlations with general knowledge ratings, confidence ratings, attitudes towards people with mental illness, and attitudes towards seeking help. Paired t-tests were used to examine pre and post intervention scores in order to establish responsiveness of the scale.  There was strong support for internal consistency of the tool and a one-factor solution. As predicted, the scores correlated highly with an overall rating of knowledge and confidence in addressing mental health issues, and moderately with attitudes towards seeking professional help and (decreased) stigmatized beliefs. It also appears to be responsive to change.  The MHL-W scale is promising tool to track the need for and impact of mental health education in the workplace.
The Complex Gradient Operator and the CR-Calculus ECE275A - Lecture Supplement - Fall 2005

Often signals and system parameters are most conveniently represented as complex-valued vectors. This occurs, for example, in array processing , as well as in communication systems [7] when processing narrowband signals using the equivalent complex baseband representation . Furthermore, in many important applications one attempts to optimize a scalar real-valued measure of performance over the complex parameters defining the signal or system of interest. This is the case, for example, in LMS adaptive filtering where complex filter coefficients are adapted on line. To effect this adaption one attempts to optimize the performance measure by adjustments of the coefficients along its gradient direction [16, 23].
Manga FaceNet: Face Detection in Manga based on Deep Neural Network

Among various elements of manga, character's face plays one of the most important role in access and retrieval. We propose a DNN-based method to do manga face detection, which is a challenging but relatively unexplored topic. Given a manga page, we first find candidate regions based on the selective search scheme. A deep neural network is then proposed to detect manga faces of various appearance. We evaluate the proposed method based on a large-scale benchmark, and show performance comparison and convincing evaluation results that have rarely done before.
Gesture-based computer mouse using Kinect sensor

This paper introduces a vision-based gesture mouse system, which is roughly independent from the lighting conditions, because it only uses the depth data for hand sign recognition. A Kinect sensor was used to develop the system, but other depth sensing cameras are adequate as well, if their resolutions are similar or better than the resolution of Kinect sensor. Our aim was to find a comfortable, user-friendly solution, which can be used for a long time without getting tired. The implementation of the system was developed in C++, and two types of test were performed too. We investigated how fast the user can position with the cursor and click on objects and we also examined which controls of the graphical user interfaces (GUI) are easy to use and which ones are difficult to use with our gesture mouse. Our system is precise enough to use efficiently most of the elements of traditional GUI such as buttons, icons, scrollbars, etc. The accuracy achieved by advanced users is only slightly below as if they used the traditional mouse.
A survey on gas leak detection and localization techniques

Gas leaks can cause major incidents resulting in both human injuries and financial losses. To avoid such situations, a considerable amount of effort has been devoted to the development of reliable techniques for detecting gas leakage. As knowing about the existence of a leak is not always enough to launch a corrective action, some of the leak detection techniques were designed to allow the possibility of locating the leak. The main purpose of this paper is to identify the state-of-the-art in leak detection and localization methods. Additionally we evaluate the capabilities of these techniques in order to identify the advantages and disadvantages of using each leak detection solution.
Inside 6th gen Intel® Core™: New microarchitecture code named skylake

•Skylake delivers record levels of performance and battery life in many personal computing use cases and form factors •Intel<sup>®</sup> Speed Shift Technology provides higher performance, responsiveness and efficiency at power constrained form factors •Skylake Processor Graphics delivers scalable performance, >1TFLOPS compute, enhanced low power media engines, flexible power management, and end-to-end 4K experience •Skylake family of products allows developers to: •Choose from wide range of platform capabilities •Innovate with products for wide range of thermal envelopes and I/O solutions •Optimize the system performance using the advanced PMU capabilities •Skylake introduces Intel<sup>®</sup> SGX: a revolutionary game changer to trusted application security in the main stream SW environment
Forecasting of Financial Markets via Neural Network

Artificial neural network is one of the intelligent methods in Artificial Intelligence. There are many decisions of different tasks using neural network approach. The forecasting problems are high challenge and researchers use different methods to solve them. The financial tasks related to forecasting, classification and management using artificial neural network are considered. The technology and methods for prediction of financial data as well as the developed system for forecasting of financial markets via neural network are described in the paper. The designed architecture of a neural network using four different technical indicators is presented. The developed neural network is used for forecasting movement of stock prices one day ahead and consists of an input layer, one hidden layer and an output layer. The training method is a training algorithm with back propagation of the error. The main advantage of the developed system is self-determination of the optimal topology of neural network, due to which it becomes flexible and more precise. The proposed system with neural network is universal and can be applied to various financial instruments using only basic technical indicators as input data.  neural networks, forecasting, training algorithm, financial indicators, backpropagation
Thorough informed consent: A developing clinical intervention with suicidal clients.

In this article, I provide commentary on the Rudd et al. (2009) article advocating thorough informed consent with suicidal clients. I examine the Rudd et al. recommendations in light of their previous empirical-research and clinical-practice articles on suicidality, and from the perspective of clinical practice with suicidal clients in university counseling center settings. I conclude that thorough informed consent is a clinical intervention that is still in preliminary stages of development, necessitating empirical research and clinical training before actual implementation as an ethical clinical intervention.
Drug-printing by flexographic printing technology--a new manufacturing process for orodispersible films.

Orodispersible films (ODFs) are intended to disintegrate within seconds when placed onto the tongue. The common way of manufacturing is the solvent casting method. Flexographic printing on drug-free ODFs is introduced as a highly flexible and cost-effective alternative manufacturing method in this study. Rasagiline mesylate and tadalafil were used as model drugs. Printing of rasagiline solutions and tadalafil suspensions was feasible. Up to four printing cycles were performed. The possibility to employ several printing cycles enables a continuous, highly flexible manufacturing process, for example for individualised medicine. The obtained ODFs were characterised regarding their mechanical properties, their disintegration time, API crystallinity and homogeneity. Rasagiline mesylate did not recrystallise after the printing process. Relevant film properties were not affected by printing. Results were comparable to the results of ODFs manufactured with the common solvent casting technique, but the APIs are less stressed through mixing, solvent evaporation and heat. Further, loss of material due to cutting jumbo and daughter rolls can be reduced. Therefore, a versatile new manufacturing technology particularly for processing high-potent low-dose or heat sensitive drugs is introduced in this study.
Microbial Biosensors: Engineered Microorganisms as the Sensing Machinery

Whole-cell biosensors are a good alternative to enzyme-based biosensors since they offer the benefits of low cost and improved stability. In recent years, live cells have been employed as biosensors for a wide range of targets. In this review, we will focus on the use of microorganisms that are genetically modified with the desirable outputs in order to improve the biosensor performance. Different methodologies based on genetic/protein engineering and synthetic biology to construct microorganisms with the required signal outputs, sensitivity, and selectivity will be discussed.
High scrotal (Bianchi) single-incision orchidopexy: a “tailored” approach to the palpable undescended testis

Our aim was to evaluate the utility of the high scrotal orchidopexy (Bianchi) approach for palpable undescended testis (UDT) and to assess long-term follow-up. We reviewed the records of orchidopexies performed between 1999 and 2002. The patients were then categorized by intraoperative exam under anesthesia as to whether their testes were palpable or nonpalpable. All palpable UDT that were initially thought to be amenable to a single high scrotal approach (Bianchi) were then reviewed. These cases were then analyzed to assess the impact of patient age, initial location of the testis, and prior inguinal/scrotal surgery with respect to the necessity to convert to a standard two-incision technique, and to analyze success and complications at 6–12-week and 1-year follow-up. Two hundred and nineteen orchidopexies were performed on 204 patients over this 4-year period. There were 178 testes palpable, and the transscrotal approach was used in 85 patients (100 orchidopexies). The preoperative positions of the testes that were thought to be amenable to Bianchi technique included the following: gliding (19), secondary trapped (25), superficial inguinal pouch (42), and location within the inguinal canal (2), while the remaining 12 testes were ectopic. Six patients required conversion to a traditional inguinal approach because of insufficient cord length via the single incision to allow the testis to lie in the scrotum. All patent processes vaginalis were ligated via the scrotal incision, regardless of their size. All patients, except for one who had a testis in the superficial inguinal pouch, had palpable testes of stable size and in a dependent position at 6–12-week follow-up. Of the 62 children who returned for 1-year follow-up, all had findings identical to those at their initial 6-week visits, with no atrophy or secondary reascent. Postoperative complications included transient postoperative scrotal hematoma in a single patient. The single failure underwent a successful two-incision orchidopexy for secondary reascent and a resultant trapped testis. Children with primary palpable undescended, gliding, or trapped testes can be managed successfully through the transscrotal route in the majority of cases. With use of a tailored approach to the palpable UDT, an additional groin incision is necessary only for a minority of appropriately selected cases.
Improvement of QoS Routing Method Using Ant Colony Algorithm and Fuzzy Logic in Ad hoc Networks

The ad hoc network is a system of network elements that combine to form a network requiring little or no planning. This may not be feasible as nodes can enter and leave the network. In such networks, each node can receive the packet (host) and the packet sender (router) to act. The goal of routing is finding paths that meet the needs of the network and effectively use network resources. This paper presents a method for QoS routing in ad hoc networks based on ant colony optimization (ACO) algorithm and fuzzy logic. The advantages of this method flexibility and routing are based on several criteria. The results show that the proposed method in comparison with the algorithm IACA has better performance, higher efficiency and greater throughput. Therefore, the combination of ant algorithm with Fuzzy Logic due to its simplicity fuzzy computing is appropriate for QoS routing.
Feeding behavior and digestive physiology in sea cucumber <ce:italic>Apostichopus japonicus</ce:italic>

The feeding behavior and digestive physiology of the sea cucumber, Apostichopus japonicus are not well understood. A better understanding may provide useful information for the development of the aquaculture of this species. In this article the tentacle locomotion, feeding rhythms, ingestion rate (IR), feces production rate (FPR) and digestive enzyme activities were studied in three size groups (small, medium and large) of sea cucumber under a 12h light/12h dark cycle. Frame-by-frame video analysis revealed that all size groups had similar feeding strategies using a grasping motion to pick up sediment particles. The tentacle insertion rates of the large size group were significantly faster than those of the small and medium-sized groups (P<0.05). Feeding activities investigated by charge coupled device cameras with infrared systems indicated that all size groups of sea cucumber were nocturnal and their feeding peaks occurred at 02:00-04:00. The medium and large-sized groups also had a second feeding peak during the day. Both IR and FPR in all groups were significantly higher at night than those during the daytime (P<0.05). Additionally, the peak activities of digestive enzymes were 2-4h earlier than the peak of feeding. Taken together, these results demonstrated that the light/dark cycle was a powerful environment factor that influenced biological rhythms of A. japonicus, which had the ability to optimize the digestive processes for a forthcoming ingestion.
Modified Skyhook Control of Semi-Active Suspensions: A New Model, Gain Scheduling, and Hardware-in-the-Loop Tuning

In this paper, a road adaptive modified skyhook control for the semi-active Macphe strut suspension system of hydraulic type is investigated. A new control-oriented m which incorporates the rotational motion of the unsprung mass, is introduced. The co law extends the conventional skyhook-groundhook control scheme and schedules it for various road conditions. Using the vertical acceleration data measured, the r conditions are estimated by using the linearized new model developed. Two filte estimating the absolute velocity of the sprung mass and the relative velocity in the space are also designed. The hydraulic semi-active actuator dynamics are incorpora the hardware-in-the-loop tuning stage of the control algorithm developed. The opt gains for the ISO road classes are discussed. Experimental results are inclu @DOI: 10.1115/1.1434265 #