Miracle-dz/UniFAR-FTUs huggingface dataset:
Screening of Natural Antioxidants from Traditional Chinese Medicinal Plants Associated with Treatment of Rheumatic Disease

In order to find new sources of natural antioxidants, the antioxidant capacities of 50 medicinal plants associated with treatment of rheumatic diseases were systemically evaluated using the ferric-reducing antioxidant power (FRAP) and Trolox equivalent antioxidant capacity (TEAC) assays, and their total phenolic contents were measured by the Folin–Ciocalteu method. Their antioxidant activities of some of these plants were analyzed for the first time. The FRAP and TEAC assay results suggested that the antioxidant compounds in these plants possessed free radicals scavenging activity and oxidant reducing power. A positive linear correlation between antioxidant capacities and total phenolic contents implied that phenolic compounds in these plants could be the main components contributing to the observed activities. The results showed that Geranium wilfordii, Loranthus parasiticus, Polygonum aviculare, Pyrrosia sheaeri, Sinomenium acutum and Tripterygium wilfordii possessed the highest antioxidant capacities and total phenolic content among 50 plants tested, and could be rich potential sources of natural antioxidants.
The ICSI/UTD Summarization System at TAC 2009

We describe improvements to our 2008 system that result in a top-performing summarization system. The motivating ideas are (1) improve sentence boundary detection to avoid damaging errors in preprocessing; (2) prune sentences that are unlikely to work well in a summary; (3) leverage sentence position to improve update summarization; (4) focus on high-precision sentence compression to improve readability rather than content.
Biofeedback video games to teach ADHD children relaxation skills to help manage symptoms

Children diagnosed with ADHD frequently demonstrate a continuous pattern of inattention, and/or hyperactivity-impulsivity, which are more frequent or serious than is typically observed in individuals of the same developmental level (APA, 2000). Affected with an inability to sit still, failure to concentrate, and the lack of self-control, children with ADHD are often lacking important social skills, and found to be at the bottom end of the academic scale (Barkley, 2006).
Mobile Crowdsourcing: Architecture, Applications, and Challenges

Crowd sourcing is the generalized act of outsourcing tasks, traditionally performed by employees or contractors, to a large group of Internet population (the wise crowd) by means of an open call. With the great development of smartphones with rich built-in sensors and ratio interfaces, mixing smartphone-based mobile technologies and crowd sourcing offers vast computing resources, and leads to a new paradigm called Mobile Crowd sourcing (MCS). In this paper, we presents a taxonomy for the MCS applications, which are explicitly divided as using human as sensors, and exploiting the wisdom of crowd, and typical applications are summarized and compared. Then, a generic MCS framework is proposed, which consists of multiple functional modules. Finally, we elaborate the challenges in MCS applications (i.e., Quality control, task management, incentives, as well as security and privacy), and summarize potential solutions. Our main contribution is to classify and provide a summary MCS framework, challenges and possible solutions to facilitate to develop and deploy various MCS applications.
Differential regulation of detoxification enzymes in hepatic and mammary tissue by hops (Humulus lupulus) in vitro and in vivo.

SCOPE Hops contain the phytoestrogen, 8-prenylnaringenin, and the cytoprotective compound, xanthohumol (XH). XH induces the detoxification enzyme, NAD(P)H-quinone oxidoreductase (NQO1) in vitro; however, the tissue distribution of XH and 8-prenylnaringenin and their tissue-specific activity have not been analyzed. METHODS AND RESULTS An orally administered hop extract and subcutaneously injected XH were administered to Sprague-Dawley rats over 4 days. LC-MS-MS analysis of plasma, liver, and mammary gland revealed that XH accumulated in liver and mammary glands. Compared with the low level in the original extract, 8-prenylnaringenin was enriched in the tissues. Hops and XH-induced NQO1 in the liver, while only hops reduced NQO1 activity in the mammary gland. Mechanistic studies revealed that hops modulated NQO1 through three mechanisms. In liver cells, (i) XH modified Kelch-like ECH-associated protein leading to nuclear factor (erythroid-derived 2)-like 2 (Nrf2) translocation and antioxidant response element (ARE) activation; (ii) hop-mediated ARE induction was partially mediated through phosphorylation of Nrf2 by PKC; (iii) in breast cells, 8-prenylnaringenin reduced NQO1 likely through binding to estrogen receptorα, recruiting Nrf2, and downregulating ARE-regulated genes. CONCLUSION XH and 8-prenylnaringenin in dietary hops are bioavailable to the target tissues. While hops and XH might be cytoprotective in the liver, 8-prenylnaringenin seems responsible for hop-mediated NQO1 reduction in the mammary gland.
Towards Linked Statistical Data Analysis

Linked Data principles are increasingly employed to publish high-fidelity, heterogeneous statistical datasets in a distributed way. Currently, there exists no simple way for researchers, journalists and interested people to compare statistical data retrieved from different data stores on the Web. Given that the RDF Data Cube vocabulary is used to describe statistical data, its use makes it possible to discover and identify statistical data artifacts in a uniform way. In this article, the design and implementation of an application and service is presented, which utilizes federated SPARQL queries to gather statistical data from distributed data stores. The R language for statistical computing is employed to perform statistical analyses and visualizations. The Shiny application and server bridges the front-end Web user interface with R on the server-side in order to compare statistical macrodata, and stores analyses results in RDF for future research. As a result, distributed linked statistical data can be more easily explored and analysed.
Wavelet Coherence Detects Non-autonomic Heart Rate Fluctuations in Familial Amyloidotic Polyneuropathy

Heart rate variability (HRV) is often used to study disturbances in the autonomic nervous system. Respiratory related HRV is seen as an indicator of a working autonomic mechanism. However, sometimes a high HRV may be caused by non-autonomic mechanisms. This study investigated if the wavelet coherence could be used to study respiratory related fluctuations in heart rate. The wavelet coherence method was applied to two Familial amyloidotic polyneuropathy patients and one healthy control. The results showed that wavelet coherence is a promising method for studying respiratory related fluctuations in heart rate.
Single case design: A critique of methodology and analysis of recent trends

Following a brief discussion of the history of the development and use of single cases studies, an overview of the single case design in contemporary outcome research is offered. This overview encompasses varieties of single case design, methods of data analysis, and pitfalls and problems with single case methodology. An analysis of current trends in single case design, based on publications in two leading behavioural journals, highlights a move toward alternating treatment designs and the growth of cognitive measures in single case studies. It is concluded that while single case designs are not necessarily the design of choice in all circumstances they are a fundamental research strategy in outcome research.
4K-4 Estimation of Viscoelastic Properties of Tissue using Acoustic Radiation Force

The goal of this study was to investigate the dynamic behavior of a rigid sphere in viscoelastic medium in response to the impulsive acoustic radiation force. Theoretical and numerical studies were carried out first. Then, to verify our theoretical and numerical models, the experiments were performed using rigid spheres of various diameters and densities embedded into tissue-like gel-based phantoms of varying mechanical properties. A 1.5 MHz single-element focused transducer was used to apply the desired radiation force. Another single-element focused transducer operating at 25 MHz was used to track the displacements of the sphere. The results of this study demonstrate good agreement between theoretical predictions and experimental measurements. The developed theoretical model accurately describes the displacement of the solid spheres in viscoelastic medium in response to the acoustic radiation force and thus can be used to evaluate mechanical properties of tissue
Preparation and Characterization of Zirconia Based Thick Film Resistor as a Ammonia Gas Sensor

Abstract Thick film technique is popular because of low cost, simple for construction and better sensing surface area, hence for resistive gas sensor thick films of pure ZrO2 powder were prepared by Standard screen printing technique. The material was characterized by X-Ray diffraction pattern, surface morphology was observed by SEM, elemental composition were observed by EDAX and optical properties were studied with UV spectroscopy Techniques, electrical properties were studying with different applied voltages and at different working temperature. X-Ray Diffraction studies confirmed that the combinations of tetragonal and monoclinic structure. The energy band gap and the thicknesses of the films were evaluated, the crystalline grain size was determined using Scherrer’s formula. The gas sensing performances of various gases were tested with working temperatures from 100° to 500°c. The sensitivity and selectivity to different gases was tested and the resistive thick films showed highest response to NH3 (100 ppm) at 300°c. It was observed that increase in gas concentration its sensing response goes on increasing but slowly increase being still constant for higher concentration. The sensitivity and selectivity may be further enhanced by doping other element and ZrO2 can be stabilize by mixing other oxides. The quick response and fast recovery time was recorded.
The Protective Effect of Adrenomedullin on Renal Injury, in a Model of Abdominal Aorta Cross-Clamping

Abstract Renal injury induced by aortic ischemia–reperfusion (IR) is an important factor in the development of postoperative acute renal failure following abdominal aortic surgery. The aim of this study was to examine the effect of adrenomedullin (AM) on kidney injury induced by infrarenal abdominal aortic IR in rats. Thirty-two Wistar Albino rats were randomized into four groups (eight per group) as follows: Control group, IR group (120-minute ischemia and 120-minute reperfusion), IR + AM group (a bolus intravenously of 0.05 µg/kg/min AM), and control + AM group. At the end of the experiment, blood and kidney tissue specimens were obtained for biochemical analysis. Immunohistological evaluation of the rat kidney tissues was also done. IR significantly increased (p < 0.05 vs control group) and AM significantly decreased (p < 0.05 vs. IR group) all of the biochemical parameters. Immunohistological evaluation showed that AM attenuated morphological changes as apoptosis associated with kidney injury. The results of this study indicate that AM attenuates both biochemically and immunohistopathologically kidney injury induced by aortic IR in rats
Late Early Permian Fusulines along Gongendani, South of Mt. Ryozen, Shiga Prefecture, Central Japan

Abstract. Twenty species of fusulines and ten species of non-fusuline foraminifers have been identified from 20 limestone samples along Gongendani, a valley south of Mt. Ryozen, Shiga Prefecture, Japan. They are dominated by Pseudofusulina norikurensis, Ps. isomie, and Acervoschwagerina gongendaniensis, and considered to be late Cisuralian (late early Permian) based on their coexistence with five subordinate species reported from the Yakhtashian (Artinskian) and the Bolorian (lower Kungurian) in the southeast Pamir and other Tethyan regions. Taxonomic composition of the schwagerinids of Gongendani and other faunas in the Mino Terrane is considerably different from that of coeval faunas in the Permian Akiyoshi Terrane. It is highly probable that Acervoschwagerina is Yakhtashian and possibly ranging up to Bolorian. Thirteen species of fusulines including two new species, Acervoschwagerina gongendaniensis Kobayashi and Cuniculinella omiensis Kobayashi are described systematically.
Gβγ signaling controls the polarization of zebrafish primordial germ cells by regulating Rac activity

During development, primordial germ cells (PGCs) migrate from the sites of their specification towards the region in which the future gonad develops. This cell migration requires polarization of PGCs and their responsiveness to external guidance cues. In zebrafish, the directed migration and polarization of PGCs are regulated independently, by the chemokine Cxcl12a and the Rho GTPase Rac1, respectively. However, the upstream signals controlling Rac activity in this context have not yet been identified. By investigating the role of G proteins in PGC migration, we found that signaling mediated by G protein subunits Gβγ is required to regulate cell polarization. PGCs that are defective for Gβγ signaling failed to polarize, and developed multiple protrusions in random locations, resembling the defects observed in PGCs with decreased Rac activity. These defects render PGCs incapable of migrating actively and responding to directional cues. FRET-based assays showed that PGCs require Gβγ signaling for polarized Rac activation and actin organization at the leading front, as well as for maintaining overall Rac levels in these cells. Conversely, overexpression of Gβγ in PGCs increases Rac activity. Our results indicate that during PGC migration in vivo, Gβγ signaling regulates Rac activity to control cell polarity, which is required for the responsiveness to chemokine signaling.
A Transformational Characterization of Equivalent Bayesian Network Structures

We present a simple characterization of equivalent Bayesian network structures based on local transformations. The significance of the characterization is twofold. First, we are able to easily prove several new invariant properties of theoretical interest for equivalent structures. Second, we use the characterization to derive an efficient algorithm that identifies all of the compelled edges in a structure. Compelled edge identification is of particular importance for learning Bayesian network structures from data because these edges indicate causal relationships when certain assumptions hold.
REVISITING OVERLOOKED FOUNDATIONS OF EVOLUTIONARY COMPUTATION: PART I

Evolutionary computation is a rapidly expanding field of research with a long history. Much of that history remains unknown to most practitioners and researchers. This two-part article offers a review of selected foundational efforts in evolutionary computation, with focus on those that have not received commensurate attention. Part I presents a brief initial overview of the essential components of evolutionary algorithms followed by a review of early research in artificial life. Part II reviews seminal results in evolving programs and evolvable hardware. Comments on theoretical developments and future developments conclude Part II.
Using the Theory of Planned Behavior and a Stage Model of Persuasion to Evaluate a Safety Message for Firefighters

A field study was conducted to evaluate the effectiveness of a National Institute for Occupational Safety and Health (NIOSH) health and safety message targeted at firefighters and to examine predictors of safety intentions among this group. This project examined: (a) the ability of the theory of planned behavior (TPB) to predict behavioral intentions for firefighters receiving a NIOSH occupational safety and health message; and (b) the use of a persuasion output matrix to assess message impact. A message about firefighting safety was nationally distributed to 36,000 fire chiefs, from which 781 were randomly selected to complete a survey assessing message impact and behavioral intentions. Results indicate message impact was weakest at the exposure, recall, and action stages of persuasion output. The TPB variables were found to significantly predict safety intentions.
MUSIC-ELICITED EMOTION IDENTIFICATION USING OPTICAL FLOW ANALYSIS OF HUMAN FACE

Abstract. Human emotion identification from image sequences is highly demanded nowadays. The range of possible applications can vary from an automatic smile shutter function of consumer grade digital cameras to Biofied Building technologies, which enables communication between building space and residents. The highly perceptual nature of human emotions leads to the complexity of their classification and identification. The main question arises from the subjective quality of emotional classification of events that elicit human emotions. A variety of methods for formal classification of emotions were developed in musical psychology. This work is focused on identification of human emotions evoked by musical pieces using human face tracking and optical flow analysis. Facial feature tracking algorithm used for facial feature speed and position estimation is presented. Facial features were extracted from each image sequence using human face tracking with local binary patterns (LBP) features. Accurate relative speeds of facial features were estimated using optical flow analysis. Obtained relative positions and speeds were used as the output facial emotion vector. The algorithm was tested using original software and recorded image sequences. The proposed technique proves to give a robust identification of human emotions elicited by musical pieces. The estimated models could be used for human emotion identification from image sequences in such fields as emotion based musical background or mood dependent radio.
Pallial origin of basal forebrain cholinergic neurons in the nucleus basalis of Meynert and horizontal limb of the diagonal band nucleus

The majority of the cortical cholinergic innervation implicated in attention and memory originates in the nucleus basalis of Meynert and in the horizontal limb of the diagonal band nucleus of the basal prosencephalon. Functional alterations in this system give rise to neuropsychiatric disorders as well as to the cognitive alterations described in Parkinson and Alzheimer's diseases. Despite the functional importance of these basal forebrain cholinergic neurons very little is known about their origin and development. Previous studies suggest that they originate in the medial ganglionic eminence of the telencephalic subpallium; however, our results identified Tbr1-expressing, reelin-positive neurons migrating from the ventral pallium to the subpallium that differentiate into cholinergic neurons in the basal forebrain nuclei projecting to the cortex. Experiments with Tbr1 knockout mice, which lack ventropallial structures, confirmed the pallial origin of cholinergic neurons in Meynert and horizontal diagonal band nuclei. Also, we demonstrate that Fgf8 signaling in the telencephalic midline attracts these neurons from the pallium to follow a tangential migratory route towards the basal forebrain.
The mesothelioma disease diagnosis with artificial intelligence methods

Asbestos is a carcinogenic substance, and threatens human health. Malignant Mesothelioma disease is one of the most dangerous kind of cancer caused by asbestos mineral. The most common symptom of the disease, progressive shortness of breath and constant pain. Early treatment and diagnosis are necessary. Otherwise, the disease can lead people to die in a short period of time. In this paper, different types of artificial intelligence methods are compared for effective Malignant Mesothelioma's diseases classification. Support Vector Machine, Neural Network and Decision Tree methods are selected in terms of regular machine learning concept. Additionally, Bagging and Adaboost re-sampling within ensemble learning terminology is also adapted. Totally 324 Malignant Mesothelioma data which consists of 34 features is used in this study. K-fold cross-validation technique is performed to compute the performance of the algorithms with different K values. 100% classification accuracies are obtained from three tested methods; Support Vector Machine, Decision Tree and Bagging. Additionally, the process time of methods are measured in case of using method in lots of data. In this sense, methods are evaluated based on accuracy and time complexity. The results of this paper are also compared with previous studies using same Malignant Mesothelioma's dataset.
User-Generated Content and travel planning: An application of the Theory of Planned Behavior

User-Generated Content (UGC) such as online travel reviews written by travelers and posted to virtual communities are being used more frequently to communicate travel-related information. UGC is therefore helping travelers to make decisions about their travel. Utilizing the Theory of Planned Behavior (TPB), which is one of the most comprehensive models explaining behavioral intention, this study contributes to the further development of theories of online consumer behavior by determining which factors are most important in relation to the use of UGC in the travel industry. The TPB has three independent determinants of behavioral intention: attitude toward the behavior, subjective norm, and perceived behavior control. Therefore the aim of this paper is to examine the roles of attitude, subjective norm and perceived behavior control in respect of travelers’ intention to use UGC when making travel plans.
Organization of primary visual cortex (area 17) in the ferret

Anatomical and electrophysiological mapping techniques were used to determine topographic organization and arrangement of ocular dominance columns in the primary visual cortex of ferrets. From its border with area 18 on the posterior lateral gyrus, area 17 extends around the caudal pole of the hemisphere and over the splenial gyrus to the caudal bank of the splenial sulcus. The visuotopic map is oriented with the isoazimuth lines approximately parallel to the long axis of the posterior lateral gyrus and the isoelevation lines approximately perpendicular to the isoazimuths. Central azimuths are represented on the posterior lateral gyrus and peripheral azimuths are represented on the splenial gyrus; the inferior visual field maps medially and the superior visual field maps laterally. As in other species, the representation of the central visual field is expanded.
Increased PKA and PKC activities accompany neuronal differentiation of NT2/D1 cells

After retinoic acid treatment, a large percentage of cells of the human embryonal carcinoma cell line NT2/D1 differentiate into neuronal cells. We demonstrate here that the differentiated cells, but not the undifferentiated cells, contain high levels of neurofilament mRNA. We have also measured mRNA, protein, and activity levels of two kinases, cAMP‐dependent protein kinase (PKA) and protein kinase C (PKC), in order to explore the role of protein kinases in the establishment of the differentiated state. RNA levels for the catalytic (Cα and Cβ) subunits of PKA increased after differentiation. Total PKA activity levels increased 7‐fold in the differentiated cells. Parallel with this, a rise in the level of catalytic subunit protein occurred. A 12‐fold induction of Type 2 (β) PKC mRNA levels was observed after neuronal differentiation. Increases in PKC activity and in Type 2 (β) and Type 3 (α) PKC protein levels also accompa nied differentiation. These changes in PKA‐ and PKC‐specific RNA levels and enzyme activity may be necessary for production and maintenance of the differentiated state in these cells.