Miracle-dz/UniFAR-FTUs huggingface dataset:
A FrameNet for Cancer Information in Clinical Narratives: Schema and Annotation

This paper presents a pilot project named Cancer FrameNet. The project’s goal is a general-purpose natural language processing (NLP) resource for cancer-related information in clinical notes (i.e., patient records in an electronic health record system). While previous cancer NLP annotation projects have largely been ad hoc resources to address a speciﬁc and immediate information need, the frame semantic method employed here emphasizes the information presented in the notes themselves and its linguistic structure. To this end, three semantic frames (targeting the high-level tasks of cancer diagnoses, cancer therapeutic procedures, and tumor descriptions) are created and annotated on a clinical text corpus. Prior to annotation, candidate sentences are extracted from a clinical data warehouse and de-identiﬁed to remove any private information. The frames are then annotated with the three frames totaling over thirty frame elements. This paper describes these steps in the pilot project and discusses issues encountered to evaluate the feasibility of general-purpose linguistic resources for extracting cancer-related information.
Enhanced portable text to speech converter for visually impaired

The handwritten text reader is designed to help the visually impaired listen to an audio read-back of printed and handwritten scanned text. A hand-held page scanner is used to scan the text to be read. The image from the scanner is sent to the application in the paired Android phone over Bluetooth. An open source optical character recognition (OCR) engine, Tesseract is used to extract the text from the image, and this extracted text is converted to speech. Tesseract OCR engine is further trained to recognise handwritten text for a specific user. This OCR engine is trained with handwritten datasets. In addition to English, the application supports two regional languages - Hindi and Bengali.
A Novel Customised Anti Phishing Framework for Mobile Environment

: Now a day’s many phishy websites are created by the attackers to extract all the personal information from the users. Many people use mobile internet through mobile phones. The proposed anti phishing tool to detect the phishing websites is very helpful to save the users from many fraud websites. The WIFI internet connection is used to deliver the internet service to the mobile device. We extract some main criteria and relates with the protected websites. Thus the similarities between the protected websites and the fraud websites are tested visually by various algorithms. Finally the phishing report is shown how far the obtain website is genuine. The alarm is fixed and produces an alert sound if the given website is phishy website.
Economic Freedom and Innovation

This article emphasizes the influence of country-level economic freedoms on innovation. Using data on 139 countries, this paper examines the role of economic freedoms that influence a country’s innovation level. The empirical findings confirm that property rights, freedom from corruption, fiscal freedom, business freedom, trade freedom, investment freedom, and financial freedom all influence a country’s innovation level. The main goal is to emphasize the importance of economic freedoms in devising alternative policy recommendations for innovation-enhancing activities.
Schizotypy and Performance on an Insight Problem-Solving Task: The Contribution of Persecutory Ideation

Insight problem solving is thought to underpin creative thought as it incorporates both divergent (generating multiple ideas and solutions) and convergent (arriving at the optimal solution) thinking approaches. The current literature on schizotypy and creativity is mixed and requires clarification. An alternate approach was employed by designing an exploratory web-based study using only correlates of schizotypal traits (paranoia, dissociation, cognitive failures, fantasy proneness, and unusual sleep experiences) and examining which (if any) predicted optimal performance on an insight problem-solving task. One hundred and twenty-one participants were recruited online from the general population and completed the number reduction task. The discovery of the hidden rule (HR) was used as a measure of insight. Multivariate logistic regression analyses highlighted persecutory ideation to best predict the discovery of the HR (OR = 1.05; 95% CI 1.01–1.10, p = 0.017), with a one-point increase in persecutory ideas corresponding to the participant being 5% more likely to discover the HR. This result suggests that persecutory ideation, above other schizotypy correlates, may be involved in insight problem solving.
Spatial Isolation against Logical Cache-based Side-Channel Attacks in Many-Core Architectures. (Isolation physique contre les attaques logiques par canaux cachés basées sur le cache dans des architectures many-core)

The technological evolution and the always increasing application performance demand have made of many-core architectures the necessary new trend in processor design. These architectures are composed of a large number of processing resources (hundreds or more) providing massive parallelism and high performance. Indeed, many-core architectures allow a wide number of applications coming from different sources, with a different level of sensitivity and trust, to be executed in parallel sharing physical resources such as computation, memory and communication infrastructure. However, this resource sharing introduces important security vulnerabilities. In particular, sensitive applications sharing cache memory with potentially malicious applications are vulnerable to logical cache-based side-channel attacks. These attacks allow an unprivileged application to access sensitive information manipulated by other applications despite partitioning methods such as memory protection and virtualization. While a lot of efforts on countering these attacks on multi-core architectures have been done, these have not been designed for recently emerged many-core architectures and require to be evaluated, and/or revisited in order to be practical for these new technologies. In this thesis work, we propose to enhance the operating system services with security-aware application deployment and resource allocation mechanisms in order to protect sensitive applications against cached-based attacks. Different application deployment strategies allowing spatial isolation are proposed and compared in terms of several performance indicators. Our proposal is evaluated through virtual prototyping based on SystemC and Open Virtual Platforms(OVP) technology.
Social interactions predict genetic diversification: an experimental manipulation in shorebirds

Polygamous Kittlitz’s plovers travel further over larger areas and interact with more individuals than the monogamous white-fronted plover. Movement patterns and social interactions influence gene flow and thus impact on speciation, although evidence from the field is limited. Here, we show that 2 Malagasy plover species exhibit different spatial behavior and social structure, consistent with existing genetic data. These results have implications for the genetic, social, and spatial processes by which new species are formed.
Exploring a New Argument for Synchronic Chance

In normal conversational contexts, we casually refer to the probability that the top card of this fair deck is presently the ace of spades (which is about 2%), to the probability that most of the lemons on my tree are now ripe (which is high this time of year), and to the probability that an arbitrarily selected student from my introductory philosophy class is currently scoring a Bor better (which is about 50%). In other words, we speak as if there are non-extremal probabilities (i. e., probabilities with values between 0 and 1) at a time that an event occurs at that very time. And this phenomenon isn’t limited to common-sense discourse: classical statistical mechanics, for example, assigns non-extremal probabilities at a time to various ways the particles of a gas might be arranged at that very time. Following others (e. g., Sober 2010, Lyon 2011), I’ll call a probability “synchronic” just in case it is a probability at a time of an event occurring at that very time. The ubiquity of non-extremal synchronic probabilities (particularly in statistical mechanics) has generated debate over how these probabilities should be interpreted. In one camp are “subjectivists” (e. g., Schaffer 2007, Frigg 2008), who maintain that all non-extremal synchronic probability ascriptions are ultimately about the doxastic states of subjects — claims either about what those states are or about what they should be. Perhaps, for example, my assertion that it is likely that most of the lemons on my tree are now ripe is simply a report that I am confident that most of the lemons on my tree are now ripe. Or perhaps the probabilities of statistical mechanics tell us, say, what our confidence should be that the particles of a gas are arranged one way rather than another, given that we know some features of the gas (such as its volume, total energy, and number of
An Investigation of the Spatial Correlation Influence on Coded MIMO-OFDMA System Performance

This paper investigates the combination of the codings on correlated channel in physical layer and the dynamic channel allocation (DCA) algorithm in MAC layer of multi input multi output orthogonal frequency division multiplexing access (MIMO-OFDMA) system. Different spatial -- time/frequency techniques such as: space-frequency block coding (SFBC), space-time block coding (STBC) and the cancelling interference algorithm as Vertical Bell Laboratories Layered Space Time (VBLAST) combined with an equalizer are deployed in the MIMO systems for comparison of the performance of system in terms of symbol error rate (SER). We use the spatial channel model (SCM) approach, proposed by the 3rd Generation Partnership Project (3GPP) organization on LOS (line of sight) case. From the simulation results, system performance is improved significantly if the transmit antenna spacing is increased, especially when using the SFBC coding. We have shown a very close connection between the SER and the spatial correlation properties on a coded channel. Based on the DCA, we can see that the channel properties when applied coding scheme on the spatial correlation effected channel.
Preparing Data from Psychotherapy for Natural Language Processing

Mental health and well-being are growing issues in western civilizations. But at the same time, psychotherapy and further education in psychotherapy is a highly demanding occupation, resulting in a severe gap in patient-centered care. The question which arises from recent developments in natural language processing (NLP) and speech recognition is, how these technologies could be employed to support the therapists in their work and allow for a better treatment of patients. Most research in NLP focuses on analysing the language of patients with various psychological conditions, but only few examples exist that analyse the therapists behavior and the interaction between therapist and patient. We present ongoing work in collecting, preparing and analysing data from psychotherapy sessions together with expert annotations on various qualitative dimensions of these sessions, such as feed-back and cooperation. Our aim is to use this data in a classiﬁcation task, which gives insight into what qualiﬁes for good feedback or cooperation in therapy sessions and employ this information to support psychotherapists in improving the quality of the care they offer.
Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation

Distributional hypothesis has been playing a central role in statistical NLP. Recently, however, its limitation in incorporating perceptual and empirical knowledge is noted, eliciting a ﬁeld of perceptually grounded computational semantics. Typical sources of features in such a research are image datasets, where images are accompanied by linguistic tags and/or descriptions. Mainstream approaches employ machine learning techniques to integrate/combine visual features with linguistic features. In contrast to or supplementing these approaches, this study assesses the effectiveness of social image tags in generating word embeddings, and argues that these generated representations exhibit somewhat different and favorable behaviors from corpus-originated representations. More speciﬁcally, we generated word embeddings by using image tags obtained from a large social image dataset YFCC100M, which collects Flickr images and the associated tags. We evaluated the efﬁcacy of generated word embeddings with standard semantic similarity/relatedness tasks, which showed that comparable performances with corpus-originated word embeddings were attained. These results further suggest that the generated embeddings could be effective in discriminating synonyms and antonyms, which has been an issue in distributional hypothesis-based approaches. In summary, social image tags can be utilized as yet another source of visually enforced features, provided the amount of available tags is large enough.
Occurrence and Biological Observations on Angel shark Squatina squatina (Chondrichthyes: Squatinidae) from the Turkish Waters (Eastern Mediterranean)

A new record of angel shark Squatina squatina (Linnaeus, 1758) in Turkish waters is reported in this note. A review of previous catch records of S. squatina from Turkish waters show that the species is relatively rare in the area. However, the observed specimen was a pregnant female suggesting that Gökova Bay could be a spawning area for S. squatina in the Turkish coast.
Spectroscopic line parameters of water vapor for rotation-vibration transitions near 7180 cm − 1

We present low uncertainty measurements of line parameters for 15 rotation-vibration transitions of water vapor in the wave number range of $7170.27--7183.02\text{ }{\text{cm}}^{\ensuremath{-}1}$. These experiments incorporated frequency-stabilized cavity ring-down spectroscopy and a primary standard humidity generator which produced a stable and accurately known amount of water vapor in a nitrogen carrier gas stream. Intensities and line shape factors were derived by fitting high-resolution spectra to spectral models that account for collisional narrowing and speed-dependent broadening and shifting effects. For most transitions reported here, we estimate the relative combined standard uncertainty of the line intensities to be $l0.4%$, of which approximately one half this value we ascribe to limited knowledge of the line shape. Our measured intensities and broadening parameters are compared to experimental and theoretical literature values. Agreement between our experimental intensity measurements and those derived by recent ab initio calculations of the dipole moment surface of water vapor is within 1.5%.
Decoding of Decode and Forward (DF) Relay Protocol using Min-Sum Based Low Density Parity Check (LDPC) System

Decoding high complexity is a major issue to design a decode and forward (DF) relay protocol. Thus, the establishment of low complexity decoding system would beneficial to assist decode and forward relay protocol. This paper reviews existing methods for the min-sum based LDPC decoding system as the low complexity decoding system. Reference lists of chosen articles were further reviewed for associated publications. This paper introduces comprehensive system model representing and describing the methods developed for LDPC based for DF relay protocol. It is consists of a number of components: (1) encoder and modulation at the source node, (2) demodulation, decoding, encoding and modulation at relay node, and (3) demodulation and decoding at the destination node. This paper also proposes a new taxonomy for min-sum based LDPC decoding techniques, highlights some of the most important components such as data used, result performances and profiles the Variable and Check Node (VCN) operation methods that have the potential to be used in DF relay protocol. Min-sum based LDPC decoding methods have the potential to provide an objective measure the best tradeoff between low complexities decoding process and the decoding error performance, and emerge as a cost-effective solution for practical application.
Hand-Held Refractometer-Based Measurement and Excess Permittivity Analysis Method for Detection of Diesel Oils Adulterated by Kerosene in Field Conditions

Adulteration of fuels is a major problem, especially in developing and third world countries. One such case is the adulteration of diesel oil by kerosene. This problem contributes to air pollution, which leads to other far-reaching adverse effects, such as climate change. The objective of this study was to develop a relatively easy measurement method based on an inexpensive, handheld Abbe refractometer for the detection of adulteration and estimation of the ascending order of the amount of kerosene present in adulterated samples in field conditions. We achieved this by increasing the volume of pure diesel sample in the adulterated diesel oil, and measuring the trend of refractive index change, and next, exploiting the true and ideal permittivities of the binary mixture. The permittivity can be obtained with the aid of the measured refractive index of a liquid. Due to the molecular interactions, the true and ideal permittivities of diesel–kerosene binary liquid mixture have a mismatch which can be used to screen for adulterated diesel oils. The difference between the true and the ideal permittivity is the so-called excess permittivity. We first investigated a training set of diesel oils in laboratory in Finland, using the accurate table model Abbe refractometer and depicting the behavior of the excess permittivity of the mixture of diesel oil and kerosene. Then, we measured same samples in the laboratory using a handheld refractometer. Finally, preliminary field measurements using the handheld device were performed in Tanzania to assess the accuracy and possibility of applying the suggested method in field conditions. We herein show that it is not only possible to detect even relatively low adulteration levels of diesel in kerosene—namely, 5%, 10%, and 15%—but also it is possible to monitor the ascending order of adulteration for different adulterated diesel samples. We propose that the method of increasing the volume of an unknown (suspected) diesel oil sample by adding a known authentic diesel sample and monitoring excess permittivity is useful for the screening of adulterated diesel oil in field measurement conditions.
Estimation of contrast agent bolus arrival delays for improved reproducibility of liver DCE MRI

Delays between contrast agent (CA) arrival at the site of vascular input function (VIF) sampling and the tissue of interest affect dynamic contrast enhanced (DCE) MRI pharmacokinetic modelling. We investigate effects of altering VIF CA bolus arrival delays on liver DCE MRI perfusion parameters, propose an alternative approach to estimating delays and evaluate reproducibility. Thirteen healthy volunteers (28.7 ± 1.9 years, seven males) underwent liver DCE MRI using dual-input single compartment modelling, with reproducibility (n = 9) measured at 7 days. Effects of VIF CA bolus arrival delays were assessed for arterial and portal venous input functions. Delays were pre-estimated using linear regression, with restricted free modelling around the pre-estimated delay. Perfusion parameters and 7 days reproducibility were compared using this method, freely modelled delays and no delays using one-way ANOVA. Reproducibility was assessed using Bland–Altman analysis of agreement. Maximum percent change relative to parameters obtained using zero delays, were −31% for portal venous (PV) perfusion, +43% for total liver blood flow (TLBF), +3247% for hepatic arterial (HA) fraction, +150% for mean transit time and −10% for distribution volume. Differences were demonstrated between the 3 methods for PV perfusion (p = 0.0085) and HA fraction (p < 0.0001), but not other parameters. Improved mean differences and Bland–Altman 95% Limits-of-Agreement for reproducibility of PV perfusion (9.3 ml/min/100 g, ±506.1 ml/min/100 g) and TLBF (43.8 ml/min/100 g, ±586.7 ml/min/100 g) were demonstrated using pre-estimated delays with constrained free modelling. CA bolus arrival delays cause profound differences in liver DCE MRI quantification. Pre-estimation of delays with constrained free modelling improved 7 days reproducibility of perfusion parameters in volunteers.
Precision Medicine in Hormone Receptor-Positive Breast Cancer

In recent decades, breast cancer has become largely manageable due to successes with hormone receptor targeting. Hormone receptor-positive tumors have favorable outcomes in comparison to estrogen receptor (ESR1, ER)/progesterone receptor-negative tumors given the targetable nature of these tumors, as well as their inherently less aggressive character. Nonetheless, treatment resistance is frequently encountered due to a variety of mechanisms, including ESR1 mutations and loss of ER expression. A new era of precision medicine utilizes a range of methodologies to allow real-time analysis of individual genomic signatures in metastases and liquid biopsies with the goal of finding clinically actionable targets. Preliminary studies have shown improved progression-free survival and overall survival with implementation of this information for clinical decision making. In this review, we will discuss the opportunities and challenges in integrating precision medicine through next-generation genomic sequencing into the management of breast cancer.
Localization based on angle of arrival in EM lens-focusing massive MIMO

This paper proposes a novel algorithm for user localization using the angle of arrival (AoA) concept. We propose to combine the electromagnetic (EM) lens with the massive multiple-input multiple-output (MIMO) antenna array at the base station (BS). EM lens have the advantage of focusing the signal power on a subset of antennas as a function of the AoA. Thus, the provide an opportunity to estimate the location of user more efficiently with reduced number of radio frequency (RF) chains and computational costs. The obtained numerical results have shown that the EM lens based massive MIMO is capable of providing better AoA estimation.
Corporate Social Responsibility (CSR) Disclosure in Consumer Products and Plantation Industry in Malaysia

This paper was produced with regards to the importance of Corporate Social Responsibility (CSR) disclosure in Malaysia. The objectives are twofold and focus on consumer products and plantation industry. The first objective is to examine the level of CSR disclosure and second, is to ascertain whether size, profitability and leverage of the company correlate with the level of CSR disclosure. For the purpose of data collection, this study used annual report of one hundred and twenty consumer products and thirty four plantation companies listed in Bursa Malaysia. The data was analyzed using content analysis and Pearson correlation. Although many companies disclosed their CSR activities, the level of disclosures are still low. The findings revealed that size of the companies was correlated with the level of disclosure while leverage showed non correlation result and profitability showed a mixed result. It implied that larger and higher income companies disclosed higher level of CSR disclosure. The results were particularly important not only for authorities to improve the CSR disclosure in consumer products and plantation industries but also for the company itself to develop their CSR disclosure.