nils-herrmann/clean_scirepeval huggingface dataset:
Fast DCT algorithms for EEG data compression in embedded systems

Electroencephalography (EEG) is widely used in clinical diagnosis, monitoring and Brain Computer Interface systems. Usually EEG signals are recorded with several electrodes and transmitted through a communication channel for further processing. In order to decrease communication bandwidth and transmission time in portable or low cost devices, data compression is required. In this paper we consider the use of fast Discrete Cosine Transform (DCT) algorithms for lossy EEG data compression. Using this approach, the signal is partitioned into a set of 8 samples and each set is DCT-transformed. The least-significant transform coefficients are removed before transmission and are filled with zeros before an inverse transform. We conclude that this method can be used in real-time embedded systems, where low computational complexity and high speed is required.
Alzheimer's Disease: Characterization of the Brain Sites of the Initial Tau Cytoskeletal Pathology Will Improve the Success of Novel Immunological Anti-Tau Treatment Approaches.

Alzheimer's disease (AD) represents the most frequent neurodegenerative disease of the human brain worldwide. Currently practiced treatment strategies for AD only include some less effective symptomatic therapeutic interventions, which unable to counteract the disease course of AD. New therapeutic attempts aimed to prevent, reduce, or remove the extracellular depositions of the amyloid-β protein did not elicit beneficial effects on cognitive deficits or functional decline of AD. In view of the failure of these amyloid-β-based therapeutic trials and the close correlation between the brain pathology of the cytoskeletal tau protein and clinical AD symptoms, therapeutic attention has since shifted to the tau cytoskeletal protein as a novel drug target. The abnormal hyperphosphorylation and intraneuronal aggregation of this protein are early events in the evolution of the AD-related neurofibrillary pathology, and the brain spread of the AD-related tau aggregation pathology may possibly follow a corruptive protein templating and seeding-like mechanism according to the prion hypothesis. Accordingly, immunotherapeutic targeting of the tau aggregation pathology during the very early pre-tangle phase is currently considered to represent an effective and promising therapeutic approach for AD. Recent studies have shown that the initial immunoreactive tau aggregation pathology already prevails in several subcortical regions in the absence of any cytoskeletal changes in the cerebral cortex. Thus, it may be hypothesized that the subcortical brain regions represent the "port of entry" for the pathogenetic agent from which the disease ascends anterogradely as an "interconnectivity pathology".
Modeling cache performance beyond LRU

Modern processors use high-performance cache replacement policies that outperform traditional alternatives like least-recently used (LRU). Unfortunately, current cache models do not capture these high-performance policies as most use stack distances, which are inherently tied to LRU or its variants. Accurate predictions of cache performance enable many optimizations in multicore systems. For example, cache partitioning uses these predictions to divide capacity among applications in order to maximize performance, guarantee quality of service, or achieve other system objectives. Without an accurate model for high-performance replacement policies, these optimizations are unavailable to modern processors. We present a new probabilistic cache model designed for high-performance replacement policies. It uses absolute reuse distances instead of stack distances, and models replacement policies as abstract ranking functions. These innovations let us model arbitrary age-based replacement policies. Our model achieves median error of less than 1% across several high-performance policies on both synthetic and SPEC CPU2006 benchmarks. Finally, we present a case study showing how to use the model to improve shared cache performance.
A Theory of ICOs : Diversification , Agency , and Information Asymmetry

We develop a theory of financing of entrepreneurial ventures via an initial coin offering (ICO). Pre-selling a venture’s output by issuing tokens allows the entrepreneur to transfer part of the venture risk to diversified investors without diluting her control rights. This, however, leads to an agency conflict between the entrepreneur and investors that manifests itself in underinvestment. We show that an ICO can dominate traditional venture capital (VC) financing when VC investors are under-diversified, when the idiosyncratic component of venture risk is large enough, when the payoff distribution is sufficiently right-skewed, and when the degree of information asymmetry between the entrepreneur and ICO investors is not too large. Overall, our model suggests that an ICO can be a viable financing alternative for some but not all entrepreneurial ventures. An implication is that while regulating ICOs to reduce the information asymmetry associated with them is desirable, banning them outright is not.
Comparison of three DNA extraction methods for polymerase chain reaction (PCR) analysis of bacterial genomic DNA

Rapid isolation of high-purity microbial genomic DNA is necessary for genome analysis. In this study, the authors compared a one-hour procedure using a microwave with enzymatic and boiling methods of genomic DNA extraction from Gram-negative and Gram-positive bacteria. High DNA concentration and purity were observed for both MRSA and ESBL strains (80.1 and 91.1 μg/ml; OD260/280, 1.82 and 1.70, respectively) when the extraction protocol included microwave pre-heating. DNA quality was further confirmed by PCR detection of mecA and CTX-M. In conclusion, the microwave-based procedure was rapid, efficient, cost-effective, and applicable for both Gram-positive and Gram-negative bacteria.
ImageSense: Towards contextual image advertising

The daunting volumes of community-contributed media contents on the Internet have become one of the primary sources for online advertising. However, conventional advertising treats image and video advertising as general text advertising by displaying relevant ads based on the contents of the Web page, without considering the inherent characteristics of visual contents. This article presents a contextual advertising system driven by images, which automatically associates relevant ads with an image rather than the entire text in a Web page and seamlessly inserts the ads in the nonintrusive areas within each individual image. The proposed system, called ImageSense, supports scalable advertising of, from root to node, Web sites, pages, and images. In ImageSense, the ads are selected based on not only textual relevance but also visual similarity, so that the ads yield contextual relevance to both the text in the Web page and the image content. The ad insertion positions are detected based on image salience, as well as face and text detection, to minimize intrusiveness to the user. We evaluate ImageSense on a large-scale real-world images and Web pages, and demonstrate the effectiveness of ImageSense for online image advertising.
Segmental anchoring of pitch movements : Autosegmental association or gestural coordination ?

Arvaniti, Ladd and Mennen (1998) reported a phenomenon of ‘segmental anchoring’: the beginning and end of a linguistically significant pitch movement are anchored to specific locations in segmental structure, which means that the slope and duration of the pitch movement vary according to the segmental material with which it is associated. This finding has since been replicated and extended in several languages. One possible analysis is that autosegmental tones corresponding to the beginning and end of the pitch movement show secondary association with points in structure; however, problems with this analysis have led some authors to cast doubt on the ‘hypothesis’ of segmental anchoring. I argue here that segmental anchoring is not a hypothesis expressed in terms of autosegmental phonology, but rather an empirical phonetic finding. The difficulty of describing segmental anchoring as secondary association does not disprove the ‘hypothesis’, but shows the error of using a symbolic phonological device (secondary association) to represent gradient differences of phonetic detail that should be expressed quantitatively. I propose that treating pitch movements as gestures (in the sense of Articulatory Phonology) goes some way to resolving some of the theoretical questions raised by segmental anchoring, but suggest that pitch gestures have a variety of ‘domains’ which are in need of empirical study before we can successfully integrate segmental anchoring into our understanding of speech production.
A novel four-step search algorithm for fast block motion estimation

vector distribution, a new four-step search (4SS) algorithm with center-biased checking point pattern for fast block motion estimation is proposed in this paper. Halfway-stop technique is employed in the new algorithm with searching steps of 2 to 4 and the total number of checking points is varied from 17 to 27. Simulation results show that the proposed 4SS performs better than the well-known three-step search and has similar performance to the new three-step search (N3SS) in terms of motion compensation errors. In addition, the 4SS also reduces the worst-case computational requirement from 33 to 27 search points and the average computational requirement from 21 to 19 search points as compared with N3SS. _______________________________________ This paper was published in  The authors are with the CityU Image Processing Lab, Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong.
B-trees, shadowing, and clones

B-trees are used by many file systems to represent files and directories. They provide guaranteed logarithmic time key-search, insert, and remove. File systems like WAFL and ZFS use shadowing, or copy-on-write, to implement snapshots, crash recovery, write-batching, and RAID. Serious difficulties arise when trying to use b-trees and shadowing in a single system.
 This article is about a set of b-tree algorithms that respects shadowing, achieves good concurrency, and implements cloning (writeable snapshots). Our cloning algorithm is efficient and allows the creation of a large number of clones.
 We believe that using our b-trees would allow shadowing file systems to better scale their on-disk data structures.
What is so special about embodied simulation?

Simulation theories of social cognition abound in the literature, but it is often unclear what simulation means and how it works. The discovery of mirror neurons, responding both to action execution and observation, suggested an embodied approach to mental simulation. Over the past few years this approach has been hotly debated and alternative accounts have been proposed. We discuss these accounts and argue that they fail to capture the uniqueness of embodied simulation (ES). ES theory provides a unitary account of basic social cognition, demonstrating that people reuse their own mental states or processes represented with a bodily format in functionally attributing them to others.
A CAPTCHA Implementation Based on 3D Animation

In order to distinguish between human users and computer programs, CAPTCHA (Completely Automated Public Turing test to tell Computers and Human Apart) mechanism is widely applied in websites such as accounts application website. While the major implementation of CAPTCHA method—2D still image verification code based on OCR technology is threatened by developing artificial intelligence and image recognition technologies. In this paper, we propose a new approach to implement CAPTCHA mechanism based on 3D Animation, utilizing the weakness of computer vision, which make it robust to computer attacks and convenient for users to recognize, and implemented this method to generate a 3D animation verification code.
Latent Variable Discovery Using Dependency Patterns

The causal discovery of Bayesian networks is an active and important research area, and it is based upon searching the space of causal models for those which can best explain a pattern of probabilistic dependencies shown in the data. However, some of those dependencies are generated by causal structures involving variables which have not been measured, i.e., latent variables. Some such patterns of dependency “reveal” themselves, in that no model based solely upon the observed variables can explain them as well as a model using a latent variable. That is what latent variable discovery is based upon. Here we did a search for finding them systematically, so that they may be applied in latent variable discovery in a more rigorous fashion.
SOUNET: Self-Organized Underwater Wireless Sensor Network

In this paper, we propose an underwater wireless sensor network (UWSN) named SOUNET where sensor nodes form and maintain a tree-topological network for data gathering in a self-organized manner. After network topology discovery via packet flooding, the sensor nodes consistently update their parent node to ensure the best connectivity by referring to the timevarying neighbor tables. Such a persistent and self-adaptive method leads to high network connectivity without any centralized control, even when sensor nodes are added or unexpectedly lost. Furthermore, malfunctions that frequently happen in self-organized networks such as node isolation and closed loop are resolved in a simple way. Simulation results show that SOUNET outperforms other conventional schemes in terms of network connectivity, packet delivery ratio (PDR), and energy consumption throughout the network. In addition, we performed an experiment at the Gyeongcheon Lake in Korea using commercial underwater modems to verify that SOUNET works well in a real environment.
Alleviating depressitn tnly tt bectme prtblematic mtbile phtne users: Can face-tt- face ctmmunicatitn be the antidtte?

With the increasing penetration of mobile phones, problematic use of mobile phone (PUMP) deserves attention. In this study, using a path model we examined the relationship between depression and PUMP, with motivations as mediators. Findings suggest that depressed people may rely on mobile phone to alleviate their negative feelings and spend more time on communication activities via mobile phone, which in turn can deteriorate into PUMP. However, face-to-face communication with others played a moderating role, weakening the link between use of mobile phone for communication activities and dete-
Human amnesia and the medial temporal region: enduring memory impairment following a bilateral lesion limited to field CA1 of the hippocampus.

During the past 100 years clinical studies of amnesia have linked memory impairment to damage of the hippocampus. Yet the damage in these cases has not usually been confined to the hippocampus, and the status of memory functions has often been based on incomplete neuropsychological information. Thus, the human cases have until now left some uncertainty as to whether lesions limited to the hippocampus are sufficient to cause amnesia. Here we report a case of amnesia in a patient (R.B.) who developed memory impairment following an ischemic episode. During the 5 years until his death, R.B. exhibited marked anterograde amnesia, little if any retrograde amnesia, and showed no signs of cognitive impairment other than memory. Thorough histological examination revealed a circumscribed bilateral lesion involving the entire CA1 field of the hippocampus. Minor pathology was found elsewhere in the brain (e.g., left globus pallidus, right postcentral gyrus, left internal capsule), but the only damage that could be reasonably associated with the memory defect was the lesion in the hippocampus. To our knowledge, this is the first reported case of amnesia following a lesion limited to the hippocampus in which extensive neuropsychological and neuropathological analyses have been carried out.
Centering Theory in Spanish: Coding Manual

0.  This is a manual for coding Centering Theory (Grosz et al., 1995) in Spanish. The manual is still under revision. The coding is being done on two sets of corpora: • ISL corpus. A set of task-oriented dialogues in which participants try to find a date where they can meet. Distributed by the Interactive Systems Lab at Carnegie Mellon University. Transcription conventions for this corpus can be found in Appendix A. • CallHome corpus. Spontaneous telephone conversations, distributed by the Linguistics Data Consortium at the University of Pennsylvania. Information about this corpus can be obtained from the LDC. This manual provides guidelines for how to segment discourse (Section 1), what to include in the list of forward-looking centers (Section 2), and how to rank the list (Section 3). In Section 4, we list some unresolved issues. 1. Utterance segmentation 1.1 Utterance In this section, we discuss how to segment discourse into utterances. Besides general segmentation of coordinated and subordinated clauses, we discuss how to treat some spoken language phenomena, such as false starts. In general, an utterance U is a tensed clause. Because we are analyzing telephone conversations, a turn may be a clause or it may be not. For those cases in which the turn is not a clause, a turn is considered an utterance if it contains entities. The first pass in segmentation is to break the speech into intonation units. For the ISL corpus, an utterance U is defined as an intonation unit marked by either {period}, {quest} or {seos} . Note that {comma}, unless it is followed by {seos}, does not define an utterance. In the example below, (1c.) corresponds to the beginning of a turn by a different speaker. However, even though (1c.) is not a tensed clause, it is treated as an utterance because it contains entities, it is followed by {comma} {seos}, and it does not seem to belong to the following utterance.
Emergency ad-hoc networks by using drone mounted base stations for a disaster scenario

In case of a large scale disaster, the wireless access network can become quickly saturated. This is of course undesirable because for this kind of situations we actually need a reliable wireless connectivity. In this study, the potential of mounting LTE femtocell base stations on drones to offer an alternative for the saturated existing wireless infrastructure is investigated. Our preliminary results show that this a very promising approach although a high amount of drones are needed to cover all users in the city center of Ghent, Belgium during a 1h intervention. The number of drones can be significantly reduced (up to 64%) by using a more advanced type of drone, by decreasing the user coverage requirement (11% less drones when requiring 80% instead of 90%) or by increasing the fly height of the drones (about 10% less drones needed when increasing the fly height by 10 m). This study shows that it is interesting to further investigate the use of drones to provide an emergency wireless access network.
Improving Search Result Clustering by Enriching Snippets with Word2Vec Model

Search Result Clustering (SRC) is an approach to solve the problems of web search engines under user's broad or ambiguous queries and no clues to find exact information in a long returned list. SRC groups the returned list and outputs a semantic structured organization to help users to find the desired information quickly. In a general way, the search engine results consist of concise information(snippet) about matching page documents. Because the snippet is short and carries few information, the clustering performance based on traditional TF-IDF weight is very low. An effective way to solve this problem is to enrich snippets according the semantic relationship from external text corpus. In this paper, we propose a new snippet enriching approach throughout word2vec model. The vector representations of words learned by word2vec models have been shown to carry semantic meanings and are useful in various Natural Language Processing(NLP) tasks. We propose to use the top-n similar words in word2vec model to enrich snippets and we still use traditional TF-IDF weights schema to select features. In order to demonstrate the effectiveness of our method, we design intensive experiments to evaluate new method and baseline methods. The result of the analysis shows that proposed method outperforms baseline approach significantly.
Regulation of microRNA biogenesis

MicroRNAs (miRNAs) are small non-coding RNAs that function as guide molecules in RNA silencing. Targeting most protein-coding transcripts, miRNAs are involved in nearly all developmental and pathological processes in animals. The biogenesis of miRNAs is under tight temporal and spatial control, and their dysregulation is associated with many human diseases, particularly cancer. In animals, miRNAs are ∼22 nucleotides in length, and they are produced by two RNase III proteins — Drosha and Dicer. miRNA biogenesis is regulated at multiple levels, including at the level of miRNA transcription; its processing by Drosha and Dicer in the nucleus and cytoplasm, respectively; its modification by RNA editing, RNA methylation, uridylation and adenylation; Argonaute loading; and RNA decay. Non-canonical pathways for miRNA biogenesis, including those that are independent of Drosha or Dicer, are also emerging.
Clinico – Pathological Study of 300 Cases of Cutaneous Warts in Immunocompetent and Immunocompromised Patients

To find out the various clinical types of cutaneous warts in immuno-competent and immuno-compromised patients (human immuno defiency virus infected, renal transplant recipients), and its histopathological aspects.  This study was conducted in dermatology department of a tertiary hospital and a total of three hundred patients were screened for this study in each groups. Detailed clinical history and examination, skin biopsy, HIV status, immunosuppressant used and period of follow up since transplant (for renal transplant patients) were taken for all the patients.  Among the 300 cases in immuno-competent patients, verruca vulgaris was observed in 157 (52%), plantar warts in 57 (19%), anogenital warts in 42 (14%) and plane warts in 21 (7%) respectively. Among the 300 HIV patients, ano-genital warts were observed in 35 (11.6%) and palmo-plantar warts in 1 patient respectively. Among the 300 patients screened in renal transplant patients, verruca vulgaris was seen in 4 (0.01%) patients, followed by 1(0.003%) plane wart and 1 (0.003%) filiform wart.  Verruca vulgaris was the most common type in immuno-competent patients and ano-genital warts in immuno-compromised patients. In renal transplant recipients, the decreased incidence of warts in this study may be due to the difference in skin type, immunosuppressant used, and geographical location which needs further evaluation in a