Miracle-dz/UniFAR-FTUs huggingface dataset:
Antioxidant activity and polyphenol composition of black mulberry (Morus nigra L.) products

BACKGROUND: Today, due to its nutritive value, black mulberry (Morus nigra L.) is consumed both as fresh and in processed forms. OBJECTIVE: In order to investigate the health-related constituents of black mulberry products, total phenolics, flavonoids, anthocyanins, antioxidant capacity and major phenolic compounds were determined for different products including fresh mulberry, dried mulberry, mulberry wine, molasses, ice cream, juice, jam and syrup. METHODS: Samples were obtained as three replicates, and total phenolics, flavonoids, anthocyanins, antioxidant capacity were determined by spectrophotometric methods, whereas major phenolic compounds were detected using high-performance liquid chromatography (HPLC) coupled with a photodiode array (PDA) detector. RESULTS: In analyzed samples, chlorogenic acid, rutin and cyanidin-3-O-glucoside were confirmed as the major phenolic acid, flavonol and anthocyanin, respectively. In general, fresh mulberry showed higher contents of total phenolics (0.49–57 fold higher), flavonoids (0.02–162 fold higher), anthocyanins (6-12209 fold higher) and antioxidant capacity (0.72–691 fold higher) compared to other products. Total flavonoids and phenolics showed a linear relationship with antioxidant capacity (CUPRAC: R2 = 0.9070 and R2 = 0.8959, respectively), indicating that flavonoids and phenolics were the major contributors to the antioxidant capacity. CONCLUSIONS: These results provide valuable insights into the biochemical composition of black mulberry and how this may change during fruit processing.
The effects of B0, B20, and B100 soy biodiesel exhaust on aconitine-induced cardiac arrhythmia in spontaneously hypertensive rats

Abstract Context: Diesel exhaust (DE) has been shown to increase the risk of cardiac arrhythmias. Although biodiesel has been proposed as a “safer” alternative to diesel, it is still uncertain whether it actually poses less threat. Objective: We hypothesized that exposure to pure or 20% soy biodiesel exhaust (BDE) would cause less sensitivity to aconitine-induced arrhythmia than DE in rats. Methods: Spontaneously hypertensive (SH) rats implanted with radiotelemeters were exposed once or for 5 d (4 h) to either 50 mg/m3 (low), 150 mg/m3 (medium), or 500 mg/m3 (high) of DE (B0), 20% (B20) or 100% (B100) soy biodiesel exhaust. Arrhythmogenesis was assessed 24 h later by continuous infusion of aconitine, an arrhythmogenic drug, while heart rate (HR), and electrocardiogram (ECG) were monitored. Results: Rats exposed once or for 5 d to low, medium, or high B0 developed arrhythmia at significantly lower doses of aconitine than controls, whereas rats exposed to B20 were only consistently sensitive after 5 d of the high concentration. B100 caused mild arrhythmia sensitivity at the low concentration, only after 5 d of exposure at the medium concentration and after either a single or 5 d at the high concentration. Discussion and conclusions: These data demonstrate that exposure to B20 causes less sensitivity to arrhythmia than B0 and B100. This diminished effect may be due to lower irritant components such as acrolein and nitrogen oxides. Thus, in terms of cardiac health, B20 may be a safer option than both of the pure forms.
Affective and attentive neural networks in humans: a PET study of Pavlovian conditioning

Using positron emission tomography (PET) and [15O]butanol we studied regional cerebral blood flow (rCBF) to a visual snake stimulus before and after classical conditioning with an unconditioned electric shock delivered to the right hand. Measures of heart rate, electrodermal activity, state anxiety and subjective distress confirmed classical conditioning of physiological and subjective responses. Subcortically, conditioning increased rCBF bilaterally in the ventromedial thalamus, the posterior hypothalamus and the central grey of the midbrain. Cortically, rCBF increased in the left anterior and posterior cingulate gyrus, the left primary somatosensory cortex, the left premotor cortex and bilaterally in parietal areas. Thus, the functional organization of classical conditioning in humans involves autonomic, affective and attentive brain mechanisms.
Monitoring of glomerular filtration rate in lithium-treated outpatients--an ambulatory laboratory database surveillance.

BACKGROUND The long-term risk of chronic kidney disease (CKD) in lithium (Li)-treated patients has been well established in the recent years. METHODS We have evaluated GFR and serum calcium monitoring in 1179 Li-treated outpatients from an ambulatory laboratory database study. This has been performed in a single private laboratory in Paris from February 1997 to December 2004. Estimated GFR (eGFR) has been calculated using the abbreviated MDRD equation. RESULTS During an 8-year period, 695 patients (59%) had at least one serum creatinine measurement, whereas 484 had no creatinine measurement. The former group had also more frequent serum Li measurements. Mean serum lithium levels, were similar in both groups, 0.65 mmol/l vs 0.62 mmol/l. The percentage of patients with CKD stage 3 (eGFR 30-59 ml/min/1.73 m(2)) were 36%, 53%, 73% and 77%, and with CKD stage 4, 3%, 5%, 5%, 8% in patients aged 20-39, 40-59, 60-69, and > or = 70 years respectively. There was no significant rise in creatinine measurements (from 35% of the patients with at least one serum creatinine in 2003 to 39% in 2004; P = 0.66) despite intervention to intensify GFR monitoring by physicians. Serum calcium was tested at least once in 212 patients (18%) of whom 15 (7%) were found with hypercalcaemia. CONCLUSION A very high percentage of Li-treated outpatients have low eGFR. GFR monitoring is neglected in these patients, the majority of whom are no longer attending specialized clinics. Hypercalcaemia is less common but serum calcium monitoring is even more neglected. Ambulatory laboratory database surveillance provides a powerful means to contribute to CKD screening and monitoring.
PSO and DE based novel quantum inspired automatic clustering techniques

Clustering, a well-known technique, is used to divide a data set into number of groups, called clusters. Differential evolution and particle swarm optimization are robust, fast and very effective search techniques. To increase computational capability, two different quantum inspired meta-heuristics for automatic clustering, have been proposed here. An application of quantum inspired techniques has been demonstrated for automatic clustering of image data sets. These techniques are able to find optimal number of clusters “on the run” for an image data sets. As the comparative research, a comparison has been made between the proposed techniques and their conventional counterparts for four images data set. Effectiveness of the proposed techniques has been exhibited against the fitness value, standard deviation and mean of the fitness, standard error and computational time. Finally, two separate statistical superiority test, referred to as i-test and Friedman test have been performed to prove the superiority the of proposed approaches in their favor.
Model based approaches to array CGH data analysis

DNA copy number alterations (CNAs) are genetic changes that can produce adverse effects in numerous human diseases, including cancer. CNAs are segments of DNA that have been deleted or amplified and can range in size from one kilobases to whole chromosome arms. Development of array comparative genomic hybridization (aCGH) technology enables CNAs to be measured at sub-megabase resolution using tens of thousands of probes. However, aCGH data are noisy and result in continuous valued measurements of the discrete CNAs. Consequently, the data must be processed through algorithmic and statistical techniques in order to derive meaningful biological insights. We introduce model-based approaches to analysis of aCGH data and develop state-of-the-art solutions to three distinct analytical problems. In the simplest scenario, the task is to infer CNAs from a single aCGH experiment. We apply a hidden Markov model (HMM) to accurately identify CNAs from aCGH data. We show that borrowing statistical strength across chromosomes and explicitly modeling outliers in the data, improves on baseline models. In the second scenario, we wish to identify recurrent CNAs in a set of aCGH data derived from a patient cohort. These are locations in the genome altered in many patients, providing evidence for CNAs that may be playing important molecular roles in the disease. We develop a novel hierarchical HMM profiling method that explicitly models both statistical and biological noise in the data and is capable of producing a representative profile for a set of aCGH experiments. We demonstrate that our method is more accurate than simpler baselines on synthetic data, and show our model produces output that is more interpretable than other methods. Finally, we develop a model based clustering framework to stratify a patient
Stability Indicating RP-HPLC Method for the Simultaneous Estimation of Metformin Hydrochloride, Pioglitazone Hydrochloride and Glibenclamide in Bulk and Pharmaceutical Dosage Forms

A simple, selective and precise Stability indicating RP-HPLC method was developed for the simultaneous estimation of Metformin Hydrochloride, Pioglitazone Hydrochloride and Glibenclamide in the Bulk and Pharmaceutical Dosage Forms using glimepiride as an internal standard. The chromatographic separation of the three drugs was achieved on a reverse phase Inertsil-ODS, C18, 100X 4.6 mm, 5µm column using 0.1 M Ammonium acetate buffer (pH 4.5adjusted by using formic acid) and Acetonitrile in the ratio of 45:55 v/v with flow rate of 0.8 ml/min with injection volume 20 µL and the detection was carried out at 254 nm. The retention time of metformin hydrochloride, pioglitazone hydrochloride and glibenclamide and glimepiride were found to be 1.1, 4.5, 5.9, 6.5min respectively. The drug products were subjected to stress conditions of acidic, alkaline, oxidation, UV and Thermal conditions. The degradation products were well resolved from Metformin Hydrochloride, Pioglitazone Hydrochloride and Glibenclamide peaks, thus indicating the stability- indicating nature of the method. The linear regression analysis data for the calibration plots showed good linear relationship in the concentration range of 62.5-375.00 μg/ml for metformin hydrochloride, 3.75-22.5 μg/ml for pioglitazone hydrochloride and 1.25-7.50 μg/ml for glibenclamide. The developed method was successfully validated in accordance to ICH guidelines. Hence, this method can be conveniently adopted for the routine analysis in quality control laboratories.
Identification and treatment of internal rotation in normal mode vibrational analysis

A procedure that automatically identifies internal rotation modes and rotating groups during the normal mode vibrational analysis is outlined, and an improved approximation to the corrections for the thermodynamic functions is proposed. The identification and the characterization of the internal rotation modes require no user intervention and make extensive use of the information imbedded in the redundant internal coordinates. Rigid-rotor internal rotation modes are obtained by fixing stretching, bending, and out-of-plane bending motions and solving the vibrational problem for the constrained system. Normal vibrational modes corresponding to internal rotations are identified by comparing them with the constrained modes. The atomic composition of the rotating groups is determined automatically and the kinetic energy matrix for internal rotation is given by either the constrained Wilson-G matrix or the Kilpatrick and Pitzer protocol. The potential periodicity, the rotating tops’ symmetry numbers, and the we.
Self-stabilizing census with cut-through constraint

We present a distributed census algorithm for unidirectional rings subject to transient faults. This algorithm is written using the efficient cut-through routing scheme, where the messages must be forwarded to a neighbor before they are completely received. The distributed census problem can be informally described as follows: the nodes cooperate to reach a global configuration where every node can determine, within finite time, which nodes are and which nodes are not present in the network. The fault tolerance is achieved using Dijkstra's paradigm of self-stabilization. A self-stabilizing algorithm, regardless of the initial system configuration, converges in finite time to a set of legitimate configurations.
A spatiotemporal observation of EndMT and mesenchymal cell colonization at the onset of human cardiac valve development Running title : Atlas of human valvulogenesis

Elucidation of mechanisms in semilunar valve development may enable the development of new therapies. Here, we found differences in proliferation-associated genes and genes repressed by vascular endothelial growth factor between human semilunar valves from first and second trimester valve leaflets. The proliferation of valve interstitial cells and ventricular valve endothelial cells (VECs) and cellular density declined from the first to the second trimester. Cytoplasmic expression of nuclear factor of activated T-cells cytoplasmic 1 (NFATc-1) in VECs (4 weeks), and later cells in the leaflet/annulus junction mesenchyme expressing inactive NFATc-1 (5.5-9 weeks) were detected, indicative of EndMT in valvulogenesis. At this leaflet/annulus junction CD44 cells clustered during elongation (11 weeks), extending toward the tip along the fibrosal layer in second trimester leaflets. Differing patterns of maturation in the fibrosa and ventricularis were detected via increased fibrosal periostin content, which tracked the presence of the CD44 cells in the second trimester. We revealed that spatiotemporal NFATc-1 expression actively regulates EndMT during human valvulogenesis, as early as 4 weeks. Additionally, CD44 cells play a role in leaflet maturation toward the trilaminar structure, possibly via migration of VECs undergoing EndMT, which subsequently ascend from the leaflet/annulus junction. D ev el o pm en t • A dv an ce a rt ic le
Are we really competent?: Assessing organizational ability in delivering IT benefits

Purpose – The purpose of this paper is to present organizational competencies for gaining information technology (IT) benefits within organizations. Following the analysis of 16 in‐depth case studies, a set of six high level, fundamental competencies and 17 facilitating competencies are identified. A framework for orchestrating the organizational competencies is also presented. The results of this research would be useful to academics in developing measures for assessing the level of organizational competence and for practitioners in identifying and nurturing competencies for organizational benefits realization.Design/methodology/approach – The methodology involved two phases. Phase 1 entailed conducting 16 extensive case studies. Case study methodology employed follows guidelines provided by Yin and Benbasat et al. Case studies are a suitable means to collect the data since the notion of competencies in delivering IT benefits has not been well understood in the literature. By analyzing and understanding .
Performance Analysis of Networks-on-Chip Routers

Routers are pivotal modules in networks-on-chip (NoC)-based designs. Therefore, acquiring an accurate estimation of the router performance is an essential parameter at early design phases. In this paper, we explain how queuing analysis could be applied to a NoC-based system to extract desired performance parameters. We focus on the analysis of routers since they are at the heart of any NoC-based system. Because there are several possible NoC architectures, we first show the NoC internal structure and how router design depends on the type of network topology. Next, we discuss different types of router structures that could be used. We used Markov chain analysis to derive an analytical model for an input-queue mesh-based router as a case study. Detailed analysis were carried out on the model simulation results to show its response to the change in different design parameters.
VulDigger: A Just-in-Time and Cost-Aware Tool for Digging Vulnerability-Contributing Changes

It has been widely adopted to minimize the maintenance cost by predicting potential vulnerabilities before code audits in academia and industry. Most previous research dedicated to file/component level vulnerability prediction models is coarse- grained and may suffer from cost-prohibitive and impractical security testing activities. In this paper, we focus on a cost- aware vulnerability prediction model and present a just-in-time change-level code review tool called VulDigger to dig suspicious ones from a sea of code changes. Our contributions benefit from the case study of Mozilla Firefox by constructing a large-scale vulnerability-contributing changes (VCCs) dataset in a semi-automatic fashion. We then further manifest a classification tool with a mixture of established and new metrics derived from both software defect prediction and vulnerability prediction. Consequently, the precision of such tool is extremely promising (i.e., 92%) for an effort-aware software team. We also examine the return on investment by training a regression model to locate most skeptical changes with fewer lines to inspect. Our findings suggest that such model is capable of pinpointing 31% of all VCCs with only 20% of the effort it would take to audit all changes (i.e., 55% better than random predictor). Our outputs can assist as an early step of continuous security inspections as it provides immediate feedback once developers submit changes to their code base.
Moana: performing water

For Disney's Moana, water was a dominant part of island life, in fact it had a life of itfis own. Presenting itself as a character, water was ever present, in a multitude of shapes and scales. An end-to-end water pipeline was developed for this film [Garcia et al. 2016], including the creation of proprietary fluid APIC solver [Jiang et al. 2015] named Splash. This gave us physically accurate simulations. The challenge with performing water was to provide art-directed simulations, defying physics, yet remaining in a grounded sense of possibility. Incorporating natural swells and flows to support the building of designed shapes limited anthropomorphic features, and played to our goal of communicating that this character is the ocean as a whole.
Local-moment collapse in compressed samarium metal.

We present theoretical evidence that the recently observed ultra-high-pressure phase in samarium metal is a delocalized 4f-electron system with an itinerant spin moment of -4ps. By comparing the total energy (at T =0) of the localized fcc phase and the delocalized bct phase we conclude that Sm metal will undergo a delocalization of the 4f shell in the Mbar pressure range. This is consistent with the previous experimental observation of an fcc— +bet transition at — 1 Mbar. Furthermore, our calculations show that the correct crystal structure (bct) is obtained only for delocalized 4f states, and the calculated c/a ratio (1.70) compares well with experimental data (1.76). Recent developments of experimental high-pressure techniques have made it possible to study materials at static pressures in the megabar range. ' One can now begin to investigate solids under new experimental conditions, where the volume in reduced to typically half of its normal value (V/Vo=0. 5, where V&& is the equilibrium volume). It has therefore become a great challenge for theory to cover this new physical regime for various classes of materials. The magnetic rare-earth metals are especially interesting in this connection. Under normal conditions the 4f electrons are localized and the associated magnetic moments are very well described by atomic theory. This fact forms the basis for the so-called standard model for rare-earth systems. Furthermore, the atomic volumes and the crystal structures for the lanthanides are well understood from a trivalent picture (Ce, Eu, and Yb are exceptions) and the metallic bond originates from a rather broad band containing three s,p, d electrons. Also, all trivalent rare-earth metals crystallize in hexagonal close-packed structures (hcp, Smtype, and dhcp). Theoretical calculations ' show that the crystal structure sequence is correlated with the d occupation of the valence band (or to a related quantity, the ratio between the metallic and ionic radii ). It has actually been demonstrated that the crystal structure sequence found when traversing the lanthanide series, dhcp — Smtype — hcp, originates from the decreasing d occupation. ' Also, applying pressure to a late lanthanide metal (with lower d occupation) increases the d character of the metallic bond and correspondingly the reversed structure sequence, hcp — Sm-type — dhcp, is observed. At sufficiently high pressure the trivalent lanthanide metals transform first to the fcc structure and then to a trigonal distortion of the fcc structure, '
Evaluating the security of anonymized big graph/structural data

Shouling Ji is a Research Faculty in the School of Electrical and Computer Engineering at Georgia Institute of Technology. He received a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (2015), a Ph.D. in Computer Science from Georgia State University (2013), and B.S. (with Honors) and M.S. degrees both in Computer Science from Heilongjiang University. His current research interests include Big Data Security and Privacy, Differential Privacy, Password Security, and Data Analytics. He also has interests in Graph Theory and Algorithms, and Wireless Networks. He is a member of ACM, IEEE, and IEEE COMSOC and was the Membership Chair of the IEEE Student Branch at Georgia State University (2012-2013). He was a Research Intern at the IBM T. J. Watson Research Center. Shouling is the recipient of the 2012 Chinese Government Award for Outstanding Self-Financed Students Abroad. Abstract: Nowadays, many computer systems generate structured data (also called graph data). Graph data spans many different domains, ranging from online social network data from networks like Facebook to epidemiological data used to study the spread of infectious diseases. Graph data is shared regularly for many purposes including academic research and for business collaborations. Since graph data may be sensitive, data owners often use various anonymization techniques that often compromise the resulting utility of the anonymized data. To make matters worse, there are several state-of-the-art graph data de-anonymization attacks that have proven successful in recent years. To date, graph data owners cannot gauge the practical or theoretical vulnerability of their data, nor can they comprehensively gauge its utility after anonymization.
A novel filter structure to suppress harmonic currents based on the sequence of sideband harmonics

In this paper, a novel filter structure is proposed based on the sequence of PWM voltage harmonics. At first, the phase of voltage harmonics is thoroughly analyzed. Based on the phase difference between three phases, it is shown that the sideband harmonics can be divided into positive-sequence, negative-sequence and zero-sequence components. Through 120° interleaving and three paralleled converters, the positive-sequence and negative-sequence voltage harmonics can be synchronized to have the same phase. With the synchronized phase, the voltage harmonics can be suppressed by the proposed filters, which have an identical structure to the three-phase common-mode choke. Furthermore, considering the phase difference, the proposed filters can be integrated as a three-limb core which gives an additional size reduction. The validity of the proposed filter is verified through the simulation and an experiment. Common-mode choke, coupled inductor, high-power converter, paralleled converters, sideband harmonics.