Miracle-dz/UniFAR-FTUs huggingface dataset:
Modulation of inflammatory and hormonal parameters in response to testosterone therapy: Effects on the ventral prostate of adult rats

Testosterone is often recommended in the treatment of several aging‐related conditions. However, there are still questions about the consequences of this therapy in terms of hormonal and inflammatory parameters that are crucial for prostate homeostasis. Thus, we investigate if the testosterone therapy (TT) modulates the hormone receptors and inflammatory cytokines in the ventral prostate of adult rats. Wistar rats aging 150 days were divided into two experimental groups (n = 10/group): T: received subcutaneous injections of testosterone cypionate (5 mg/kg body weight) diluted in corn oil every other day for 4 weeks; and C: received corn oil as vehicle. Animals were euthanized at 180 days old by decapitation. Blood was collected to obtain hormone and cytokines concentrations. The ventral prostate was dissected and processed for light microscope and molecular analyses. Relative ventral prostate weight and epithelial compartment were increased after TT. The number of intact and degranulated mast cells was reduced in the T group. Plasma testosterone, DHT and intraprostatic testosterone concentrations were higher in the T group. TT leads to an increase in cell proliferation and up‐regulation of AR, ERβ, PAR‐4, and NRF2. Importantly, plasma concentration and tissue expression of IL‐10 and TNF‐α were higher after TT. In summary, these results indicate that TT can regulate inflammatory response, with impacts in cytokines and mast cell population, and modulates steroids receptors, important parameters for prostatic homeostasis.
Energy-efficient adaptive localization middleware based on GPS and embedded sensors for smart mobiles

In this paper, we propose an energy-efficient adaptive location middleware based on GPS as well as embedded sensors including an accelerometer and a geomagnetic sensor for smart mobiles. Smart mobiles provide Network-based or GPS-based locations for various applications. Network-based location does not have high accuracy but its level of energy consumption is low. In contrast, GPS-based location has high accuracy, but it is only available in outdoor environments and consumes much energy. Location-based services prefer GPS location for its higher accuracy, but continued use of GPS can drain the limited battery capacity of a smart mobile in a short time. The proposed method partially replaces the GPS-based positioning with the energy-efficient sensor-based one. Since there is a trade-off between accuracy and energy efficiency, this system reduces energy consumption to the extent where target levels of accuracy required by applications can be maintained. This scheme is implemented and evaluated on an Android-powered smart mobile. The experimental results show that the proposed method effectively reduces energy consumption while keeping the location error within acceptable limits in the case where a smart mobile is used as a car navigator.
Technoscience Art: A Bridge between Neuroesthetics and Art History?

One of the most exciting recent developments in mainstream art history is its confrontation with the cognitive sciences and neurology. This study is based on the problems these disciplines face before they can contribute to each other. The authors inspect several critical issues resulting from this encounter, especially in the new field of neuroesthetics. The authors argue that it is a language barrier between the disciplines, rather than any fundamental conceptual division, that causes the lack of understanding on both sides. Shared terms in arts and neuroscience are elusive, and the different connotations of extant terms in these separate disciplines must be addressed. The authors propose technoscience art as a ground in which joint terminology may be developed, an audience familiar to the concerns of both sides can be formed, and a new generation of scientifically knowledgeable artists and scientists can interact for their mutual benefit.
Chinese Relation Classification using Long Short Term Memory Networks

Relation classiﬁcation is the task to predict semantic relations between pairs of entities in a given text. In this paper, a novel Long Short Term Memory Network (LSTM)-based approach is proposed to extract relations between entities in Chinese text. The shortest dependency path (SDP) between two entities, together with the various selected features in the path, are ﬁrst extracted, and then used as input of an LSTM model to predict the relation between them. The performance of the system was evaluated on the ACE 2005 Multilingual Training Corpus (Walker et al., 2006), and achieved a state-of-the-art F-measure of 87.87% on six general type relations and 83.40% on eighteen subtype relations in this corpus.
An Insurance Recommendation System Using Bayesian Networks

In this paper we describe a deployed recommender system to predict insurance products for new and existing customers. Our goal is to give our customers personalized recommendations based on what other similar people with similar portfolios have, in order to make sure they were adequately covered for their needs. Our system uses customer characteristics in addition to customer portfolio data. Since the number of possible recommendable products is relatively small, compared to other recommender domains, and missing data is relatively frequent, we chose to use Bayesian Networks for modeling our system. Experimental results show advantages of using probabilistic graphical models over the widely used low-rank matrix factorization model for the insurance domain.
Effect of right lateral position with head elevation on tracheal aspirate pepsin in ventilated preterm neonates: randomized controlled trial

Abstract Objective: To evaluate the effect of right lateral positioning in comparison with supine positioning on tracheal aspirate pepsin levels as a marker of aspiration of gastric contents in ventilated preterm neonates. Study design: This randomized controlled trial was conducted on 60 ventilated preterm neonates <35 weeks; 30 neonates were nursed in right lateral position for 6 hours while the other 30 neonates were nursed in supine position for 6 hours. Tracheal aspirate sample was obtained from each neonate in both the groups just after the end of 6 hours and pepsin level was measured. Results: Neonates in right lateral position group had significantly lower tracheal pepsin level than neonates in supine position group (6 ng/ml) interquartile range [IQR] (3–20) versus 15 ng/ml [IQR] (5.5–90) (p = .024). There is positive correlation between tracheal aspirate pepsin level and fraction of inspired oxygen (FiO2) needed during the intervention (r = 0.383, p = .040). There is no correlation between tracheal pepsin level and gestational age, birth weight, or duration of mechanical ventilation and other ventilatory settings. Conclusion: Nursing ventilated premature infants in right lateral position is associated with decreased aspiration of gastric contents.
Resistance mechanism to cisplatin in NCI-H460 non-small cell lung cancer cell line: investigating apoptosis, autophagy, and cytogenetic damage

Aim: To investigate the effects of cisplatin on the human non-small cell lung carcinoma (NCI-H460) cell line regarding cytotoxicity, genotoxicity, and expression of genes associated with apoptosis (BIRC5) and autophagy (BECN1). Methods: Cell cultures were treated with cisplatin concentrations (0.16-33.3 μmol/L) for 48 h. Mutagenicity and acute and chronic cytotoxicities were assessed using the MTT, clonogenic, and cytokinesis-block micronucleus assays. Gene expression of BIRC5 and BECN1 was evaluated by reverse transcription-polymerase chain reaction. Results: Cisplatin IC50 (0.33 μmol/L) increased micronucleus frequency 2.50 times. Cisplatin was also cytotoxic in the 0.6-33.3 μmol/L range, with reduced expression of the BIRC5 gene, suggesting induction of apoptosis. Besides reducing the expression of the BIRC5 gene, 33.3 μmol/L cisplatin increased the expression of the BECN1 gene, suggesting that autophagy can be related to cisplatin resistance. Conclusion: Cisplatin inhibited NCI-H460 growth, and cisplatin IC50 induced genotoxic damage. When higher cisplatin concentrations are used, the expression of genes associated with apoptosis and autophagy was changed. This results points to a further investigation of the role of autophagy in cisplatin resistance.
Financial Instruments for Retired Homeowners

Guttentag [1] recently proposed the creation of new financial instruments for retired homeowners. These instruments would permit the homeowner to realize the equity in his house while continuing to live there until death. Under one variant of this proposal the house is sold to a financial institution, such as an insurance company, with the proviso that the seller retains the right to lifetime occupancy. The purchase price is thus composed of the lifetime occupancy benefit together with an immediate cash sum. From the viewpoint of the aged homeowner such instruments have a number of advantages. Only one will be mentioned here. The aged homeowner is provided with a secure lifetime stream of housing services. This is not the case when he sells his house in the conventional way and moves into an apartment. Under these circumstances two types of risk are involved. First all the funds may be exhausted before he dies because "he lives too long. " Second the future rent increases may be much higher than anticipated. The first risk can be dealt with by purchasing a life annuity from an insurance company. In general such annuities do not provide adequate protection against the second risk. There are a number of interesting practical and theoretical problems involved in the creation of such instruments [1]. Perhaps the most intriguing of these problems concerns the pricing of the contracts. The aim of the present note is to develop an alternative method for the pricing of these contracts. The pricing formula is obtained within the framework of the Black-Scholes option pricing model [2]. It turns out that under certain assumptions a very simple pricing formula can be obtained. The model is extended to include morality risk with the aid of some classical actuarial theory.
Towards a cloud consumers credibility assessment and trust management of cloud services

In Cloud computing, several issues arises due to malicious users. The cloud service provider does not know whether the cloud consumer is authorized user or an unauthorized user when they access the data from cloud. Cloud service consumer can interact with the cloud providers. The malicious users can easily hack the user’s private information. The cloud provider cannot able to find this problem. In this Paper we proposed the method is a Trust Management Service (TMS). The advantage of using this methodology is to secure our privacy information and also check whether it is a valid users or not. Protecting the cloud services against the malicious user is not an easy task. Our proposed method show that the capability of finding the malicious users and also misleading feedback.
Background noise suppression of magnetic anomaly signal based on wavelet transform

The magnetic anomaly signal is polluted by the background noise, and the ferromagnetic target signal is submerged in the noise. To detect the target at low signal-to-noise ratio (SNR), the background noise of magnetic anomaly signal should be suppressed. According to the noise characteristics and the time-frequency characteristics of the ferromagnetic target signal, a method for eliminating the background noise of the magnetic anomaly signal based on wavelet transform is proposed. In this paper, the concept of wavelet transform denoising is introduced, and the wavelet transform denoising algorithm is proposed. The results of simulation and actual verification show that the wavelet transform denoising can effectively remove the noise in the magnetic data and improve the detection ability of the magnetic anomaly at low SNR.
3D instrument localization and tracking with the integration of image-based and electromagnetic techniques

In this paper, we present an improved marker for optical tracking. The proposed IR pattern can accept up to 50% of occlusion so that we can reduce the requirement of line-of-sight during the instrument tracking. To provide the accurate instrument tracking results for surgeons to manipulate minimally invasive surgery, we integrate both optical tracking and electromagnetic tracking methods into an image guided surgery system. Furthermore, we use a sensor fusion algorithm to fuse the measurements from these subsystems to make the measurement of the system more stable.
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions

Understanding how social power structures affect the way we interact with one another is of great interest to social scientists who want to answer fundamental questions about human behavior, as well as to computer scientists who want to build automatic methods to infer the social contexts of interactions. In this paper, we employ advancements in extra-propositional semantics extraction within NLP to study how author commitment reflects the social context of an interactions. Specifically, we investigate whether the level of commitment expressed by individuals in an organizational interaction reflects the hierarchical power structures they are part of. We find that subordinates use significantly more instances of non-commitment than superiors. More importantly, we also find that subordinates attribute propositions to other agents more often than superiors do — an aspect that has not been studied before. Finally, we show that enriching lexical features with commitment labels captures important distinctions in social meanings.
Time-Varying Macroeconomic Risk and Commercial Real Estate: An Asset Pricing Perspective

Executive Summary. This paper empirically investigates the behavior over time of excess returns (risk premium) on commercial real estate in Singapore, one of the major Asian tiger economies. Specifically, the first and second conditional moments on office and retail real estate excess returns are related to the conditional variances and covariances of five specified macroeconomic factors: growth rate in gross domestic product, growth rate in industrial production output, unexpected inflation, short-term interest rates and market portfolio. The conditional variances of the five macroeconomic factors are time-varying. In addition, significant results are obtained from the macroeconomic volatilities as useful predictors for the expected risk premiums. This evidence can be very useful to international investors and portfolio managers interested in Asian property markets.
Levels of Coercive Control Differentiate Between Groups of Victims of Intimate Partner Violence in Colombia

The authors used Johnson’s typology of intimate partner violence (IPV) to examine groupings of women experiencing physical violence within their intimate relationships according to coercive control levels. Analyses were conducted using data from the 2010 Colombian Demographic and Health Survey. In particular, the authors used a subsample of 12,237 ever-married (or cohabitating) women between the ages of 14 and 49 years, who reported at least one experience of physical violence. Exploratory and confirmatory cluster analyses demonstrated a good fit for a two-cluster solution based on coercive-control levels. Forty eight percent of women in the sample were classified in the high-control group. Comparisons between currently married and formerly married women evidenced formerly married women reported more physical violence, severe physical violence, physical consequences of violence, and psychological consequences of violence than currently married women. Furthermore, comparisons within the high-control group and the low-control group evidenced that formerly married women displayed higher scores in all six variables than currently married women. Findings from this study contribute to support Johnson’s control-based IPV theory and its application in Colombia.
Tel(s)-Telle(s)-Signs: Highly Accurate Automatic Crosslingual Hypernym Discovery

We report a highly accurate hypernym discovery heuristic that works on unrestricted texts. This approach leverages morphological cues in French, but given any parallel data and word alignment tool, this proves to be a technique that can work reliably in other languages as well. We tested this method using two French-English corpora of different genres (medical and news) and attained near-perfect accuracy. The key idea is to exploit morphological information in the French trigger phrase tel ( s )-/ telle ( s )- que (meaning “such as” in English) to uniquely identify the correct hypernym. This shows to be an inexpensive and effective heuristic also when there are multiple noun phrases preceding the trigger phrase, as in the case of prepositional phrase attachment causing ambiguity in interpretation and hypernym acquisition, indicating that this pattern in French is more informative than its English counterpart.
Classification of colon polyps in NBI endoscopy using vascularization features

The evolution of colon cancer starts with colon polyps. There are two different types of colon polyps, namely hyperplasias and adenomas. Hyperplasias are benign polyps which are known not to evolve into cancer and, therefore, do not need to be removed. By contrast, adenomas have a strong tendency to become malignant. Therefore, they have to be removed immediately via polypectomy. For this reason, a method to differentiate reliably adenomas from hyperplasias during a preventive medical endoscopy of the colon (colonoscopy) is highly desirable. A recent study has shown that it is possible to distinguish both types of polyps visually by means of their vascularization. Adenomas exhibit a large amount of blood vessel capillaries on their surface whereas hyperplasias show only few of them. In this paper, we show the feasibility of computer-based classification of colon polyps using vascularization features. The proposed classification algorithm consists of several steps: For the critical part of vessel segmentation, we implemented and compared two segmentation algorithms. After a skeletonization of the detected blood vessel candidates, we used the results as seed points for the Fast Marching algorithm which is used to segment the whole vessel lumen. Subsequently, features are computed from this segmentation which are then used to classify the polyps. In leave-one-out tests on our polyp database (56 polyps), we achieve a correct classification rate of approximately 90%.
Title Control of Fibrinogen Biosynthesis : Role of the FFA / Albumin Ratio Permalink

The rate of biosynthesis and turnover of the plasma protein fibrinogen is a marker of metabolic signaling in aging and disease. The rate in the young normal human subject of 0.260 mg/ml/24 h increases to 0.378 in older normal subjects and to 0.466 in age matched coronary thrombosis patients measured by endogenous labeling of fibrinogen with L-glutamic acid-C14. The increased rate of fibrinogen turnover has been traced to generation of fibrin by labeling the polymers with glycine C14 ethyl esters in the presence of activated fibrin stabilizing factor. Circulating fibrin increased 520% above normal in ischemic thrombotic cerebrovascular disease. Long chain saturated free fatty acids (FFA) exercise not only primary control over incorporation of Cl4 labeled amino acids into the fibrinogen structure but also activate the cascade sequence of reactions which convert fibrinogen into occlusive fibrin polymers. FFA are normally bound and transported by plasma albumin to mitochondrial sites of energy metabolism. Albumin synthesis declines with aging. This decline is associated with increased plasma levels of FFA resulting in an increase in the plasma FFA/albumin ratio. Correction of this ratio in vitro by restoration of a normal FFA/albumin ratio restores a normal level of fibrinogen synthesis by human hepatocytes.
The Effect of Capacity for Care on an Animal Shelter’s Admission Trends and Risk Factors Affecting Length of Stay of Cats (Felis catus): A Case Study at the Guelph Humane Society, 2011-2016

THE EFFECT OF CAPACITY FOR CARE ON AN ANIMAL SHELTER’S ADMISSION TRENDS AND RISK FACTORS AFFECTING LENGTH OF STAY OF CATS (FELIS CATUS): A CASE STUDY AT THE GUELPH HUMANE SOCIETY, 2011-2016 Natasha Janke Advisor: University of Guelph, December 2016 Dr. Olaf Berke This thesis is an investigation of the time trends in admission rates and risk factors that affect time-to-adoption of cats at the Guelph Humane Society, from 2011 to 2016, while assessing the effectiveness of the Capacity for Care program. In 2014, the Guelph Humane Society implemented the Capacity for Care program at its shelter to improve the movement of cats through the shelter. The effects of this program are assessed using time series and survival analysis. There was a significant reduction in admissions of adult cats following the introduction of the Capacity for Care program when the analysis was adjusted for kitten admissions. Cats were also 24% more likely to be adopted after the implementation of the Capacity for Care program. This thesis is the first to study the effects of the Capacity for Care program using long-term data, in addition to using statistical methods appropriate for retrospective count data.
Single cell clustering based on cell‐pair differentiability correlation and variance analysis

Motivation: The rapid advancement of single cell technologies has shed new light on the complex mechanisms of cellular heterogeneity. Identification of intercellular transcriptomic heterogeneity is one of the most critical tasks in single‐cell RNA‐sequencing studies. Results: We propose a new cell similarity measure based on cell‐pair differentiability correlation, which is derived from gene differential pattern among all cell pairs. Through plugging into the framework of hierarchical clustering with this new measure, we further develop a variance analysis based clustering algorithm ‘Corr’ that can determine cluster number automatically and identify cell types accurately. The robustness and superiority of the proposed algorithm are compared with representative algorithms: shared nearest neighbor (SNN)‐Cliq and several other state‐of‐the‐art clustering methods, on many benchmark or real single cell RNA‐sequencing datasets in terms of both internal criteria (clustering number and accuracy) and external criteria (purity, adjusted rand index, F1‐measure). Moreover, differentiability vector with our new measure provides a new means in identifying potential biomarkers from cancer related single cell datasets even with strong noise. Prognosis analyses from independent datasets of cancers confirmed the effectiveness of our ‘Corr’ method. Availability and implementation: The source code (Matlab) is available at http://sysbio.sibcb. ac.cn/cb/chenlab/soft/Corr‐‐SourceCodes.zip Supplementary information: Supplementary data are available at Bioinformatics online.
A New Classification Approach using Gapped Subsequences

An important purpose of sequence analysis is to find the distinguishing characteristics of sequence classes. Given in one set of sequence pattern we introduce the problem of gapped subsequences and purpose is to find efficient patterns and provide a classification for these patterns. Since every pattern has a class label so we find these labels. Sequence is an ordered list of events, the pattern we would like to mine is called repeated gapped subsequences which is a subsequence (possibly occurred with some gaps within two successive sequences). To find the patterns we introduce the concept of frequent support to measure how frequently a pattern repeats in a sequence. As compare to other sequence pattern mining problems repeated supports captures not only repetition of patterns in other sequences but also repetition within sequence. Here we present a classification methodology for sequence classification based on these gapped frequent patterns.