Miracle-dz/UniFAR-FTUs huggingface dataset:
Persistent bacterial colonization of Porphyromonas gingivalis, Prevotella intermedia, and Actinobacillus actinomycetemcomitans in periodontitis and its association with alveolar bone loss after 6 months of therapy.

BACKGROUND, AIMS The purpose of this study was to determine whether the presence of bacterial antigens for Porphyromonas gingivalis (Pg), Prevotella intermedia (Pi), and Actinobacillus actinomycetemcomitans (Aa) in subgingival plaque of periodontitis patients after periodontal treatment was associated with progressive alveolar bone loss. METHOD 39 (39) subjects in good general health previously diagnosed with adult periodontitis within the last 2 years, and still presenting with probing depth >5 mm in 2 to 6 teeth, were studied. All subjects were treated with scaling and root planing. Half of the subjects were randomly assigned to receive adjunctive systemic doxycycline (200 mg the 1st day, then 100 mg per day for 21 days). Subgingival plaque samples were taken at baseline, 1, 3 and 6 months after therapy. A modified ELISA test (Evalusite, Periodontal Test Kit, Eastman Kodak Co., Rochester, NY) was used to test for plaque antigens associated with P. gingivalis, P. intermedia and A. actinomycetemcomitans. Progressive alveolar bone loss was determined using digital subtraction radiography with standardized radiographs taken at baseline and 6 months after treatment. RESULTS The presence of P. gingivalis in plaque after treatment was significantly associated with progressive bone loss (positive predictive value 84%, negative predictive value 85%, odds ratio 31.9, p<0.0001). In contrast, the presence of P. intermedia in plaque after treatment was not indicative of progressive loss (positive predictive value 39%, negative predictive value 82%). Too few sites had evidence of A. actinomycetemcomitans to be amenable to statistical analysis. No significant difference in bone loss was attributable to the systemic antibiotic therapy. CONCLUSION These data indicated that, in this population, the presence of P. gingivalis in plaque after treatment might be indicative of progressive alveolar bone loss.
A Comprehensive Reference Model for Blockchain-based Distributed Ledger Technology

Blockchain is a distributed, transactional database that is shared across all the nodes participating in the network. This is the main technical innovation of Bitcoin and it acts as a public ledger for the transactions. However, this technology lacks standardisation and uniform understanding. This is due to a few studies, that would provide a comprehensive model of the blockchain and the distributed ledger technology. In this paper we compare four blockchain technology platforms and focus on their business level properties including actors and roles, services, and processes and data model. Our comparison results in a reference model, which could potentially guide the business analysts, sys-tem analysts and software developers when developing new blockchain platforms or their supported implementations. Accuracy of the proposed reference model is validated by considering it against selected blockchain technologies.
Drop formation characteristics of electrostatic ink jet using water-based ink

Drop formation characteristics of electrostatic ink jets using water-based ink are reported. At first, to understand drop formation phenomena and processes, we took high-speed photographs. We investigated, using one capillary and kind of ink, ink-drop frequency versus ink-flow characteristics. From these characteristics, we calculated ink-drop diameters treating a drop as a sphere. Then, from these ink-drop frequency versus ink-drop diameter characteristics, we estimated attainable ink-drop frequencies and ink-drop diameters for a specific capillary. Lastly, comparisons were made among ink-drop frequency versus recorded-diameter characteristics for different capillaries, particularly their outside diameters.
Pyruvate and propionate metabolism in lactating cows. Effect of butyrate on pyruvate metabolism.

Abstract The glucogenic behavior of butyrate in ruminants has been reported frequently, but the metabolic nature of this anomalous relationship has remained obscure. To test the possibility that the metabolism of butyrate affects gluconeogenesis, lactating cows were given intravenous injections of tracer amounts of pyruvate-2-14C and, in parallel experiments, of pyruvate-2-14C plus substrate amounts of sodium butyrate (0.7 mm per kg of body weight). When butyrate was injected, less 14C appeared in respired CO2 and more 14C in plasma glucose. The intramolecular labeling pattern in glutamate also changed with butyrate injection, with the result that more of the 14C was located in carbon derived from oxalacetate compared to carbon derived from acetyl-CoA. These results indicate that butyrate metabolism affects gluconeogenesis by sparing pyruvate oxidation, thereby conserving a glucogenic precursor, and, in addition, by enhancing the conversion of pyruvate to oxalacetate.
An efficient disease prediction and classification using feature reduction based imputation technique

Analysis of a medical dataset having missing values and then filling the missing values through different approaches exists in the literature. However, the classification accuracies achieved using these approaches have not been so promising when analyzed. It is this reason; which implicitly motivated us to study and address new methods for imputation. In this paper, we propose an approach for efficient imputation and classification performing imputation applying class based clustering strategy. We call our method as IMputation Based on Class Based Clustering (IMCBC). The classification accuracies achieved are promising compared to state of art approaches in literature when performed on benchmark datasets.
Seven Years of Social Sensors

The aim of this paper is to review seven years of research on a specific vision of social media which is that of social sensors, i.e., alternative information systems able to detect and characterize interesting and yet unreported information and events in real-time, crossing topics, locations and language barriers. In particular, we here present a computational exercise based on a Topic Modeling technique over a set of papers citing probably the first contribution about the conceptualization and formalization of the social sensor keyword. By extracting topics from 367 (English) titles and correlating them with metadata such as the year of publication and the number of received citations, we tried to light up interesting aspects and research directions in the social media mining community.
Illumination-Robust Foreground Extraction for Text Area Detection in Outdoor Environment

Optical Character Recognition (OCR) that has been a main research topic of computer vision and artificial intelligence now extend its applications to detection of text area from video or image contents taken by camera devices and retrieval of text information from the area. This paper aims to implement a binarization algorithm that removes user intervention and provides robust performance to outdoor lights by using TopHat algorithm and channel transformation technique. In this study, we particularly concentrate on text information of outdoor signboards and validate our proposed technique using those data.
BI , FAMILY ENVIRONMENT AND ANXIETY 2

This research examines the relationship between behavioural inhibition (BI), family environment (overinvolved and negative parenting, parental anxiety and parent-child attachment) and anxiety in a sample of 202 preschool children. Participants were aged between 3 years 2 months and 4 years 5 months, 101 were male. A thorough methodology was used that incorporated data from multiple observations of behaviour, diagnostic interviews and questionnaire measures. The results showed that children categorised as behaviourally inhibited were significantly more likely to meet criteria for a range of anxiety diagnoses. Furthermore, a wide range of family environment factors, including maternal anxiety, parenting and attachment were significantly associated with BI, with inhibited children more likely to experience adverse family environment factors. No interactions between temperament and family environment were found for child anxiety. However, a significant relationship between current maternal anxiety and child anxiety was found consistently even after controlling for BI. Additionally, there was some evidence of a relationship between maternal negativity and child anxiety, after controlling for BI. The results may suggest that temperament and family environment operate as additive, rather than interactive risk factors for child anxiety. This is discussed in the context of theoretical models of child anxiety and directions for future research.
THE SITE OF SYNTHESIS OF GANGLIOSIDES IN THE CHICK OPTIC SYSTEM

Abstract– In the retinas of 1‐day‐old chickens that received an intraocular injection of N‐[3H]acetylmannosamine the labelling of N‐acetylneuraminic acid and CMP‐N‐acetylneuraminic acid increased for at least 8 h and that of gangliosides for at least 24 h after injection. In the optic tectum contralateral to the injected eye at 8 h after the intraocular injection, the labelling of gangliosides exceeded the labelling of gangliosides in the ipsilateral tectum by approx 20‐fold. In the contralateral tectum the highest concentration of labelled gangliosides was in subfractions enriched in synaptosomes and synaptic plasma membranes. No significant contralateral ipsilateral differences were found in the acid soluble substances of the tectum. In the optic tectum, labelled gangliosides appeared earlier in the neuronal perikarya than in synaptosomes when the injection was intracranial. Conversely, when the injection was intraocular the labelling appeared earlier in the synaptosomes than in the neuronal perikarya. The radioactivity pattern of the optic tectum gangliosides resembled the pattern of retina gangliosides when N‐[3H]acetylmannosamine was injected intraocularly, but when N‐[3H]acetylmannosamine was given intracerebrally the radioactivity pattern resembled that of optic tectum gangliosides. Intraocular injection of colchicine or vinblastine did not affect the labelling of retinal gangliosides from N‐[3H]acetylmannosamine injected into the same eye but prevented the appearance of labelled gangliosides in the optic tectum. In vitro the ganglioside glycosylating activity of optic tectum synaptosomes and synaptic plasma membranes was between 6 and 10‐fold lower than that found in the optic tectum neuronal perikarya. These findings support the notion that the main subcellular site of synthesis of neuronal gangliosides is in the neuronal perikarya, from which they are translocated to the nerve endings.
Direct and mediated ties to universities: “Scientific” absorptive capacity and innovation performance of pharmaceutical firms

Extant literature on firm–university collaboration has emphasized two different strategies that firms in science-based industries adopt to source scientific knowledge and expertise. On one hand, firms engage in direct research collaborations with universities. On the other hand, firms establish indirect, mediated, ties to universities by engaging in research collaborations with dedicated biotech firms that are themselves strongly linked to universities—with the dedicated biotech firm taking the role of “broker. ” We argue that the relative benefits of direct and mediated ties depend on the extent to which firms have organized their research and development to facilitate the absorption, assimilation, transformation, and exploitation of scientific knowledge, which we coin “scientific absorptive capacity. ” Drawing on patent and publication data in a panel of 33 vertically integrated pharmaceutical firms, we find that direct university collaboration is more beneficial for firms with relatively high scientific absorptive capacity, while only mediated ties are associated with greater innovative performance for firms with relatively low scientific absorptive capacity. The latter association is reduced if the mediated ties are with top universities. Our findings are suggestive of the importance of a “fit” between the nature of a firm’s research and development organization and its strategy to access scientific knowledge.
Decentralized low-cost flywheel energy storage for photovoltaic systems

This publication demonstrates that flywheel energy storage systems (FESS) are a valid alternative to batteries for storing energy generated by decentralized rooftop photovoltaic systems. The increasing number of private PV arrays calls out for high energy storage capacities in order not to overload the grid. Despite being the current storage technology of choice, chemical batteries are still too expensive and have certain disadvantages compared to FESS, such as capacity fade over time and currently still difficult recycling. Within a research project at the Graz University of Technology a feasibility study for a low-cost, low-loss FESS was conducted. Energetic dimensioning was performed using actual PV power and electric load data recorded at a building in Austria with 6 apartment units. A low-cost flywheel system with an energy content of 5.0 kWh and 2.2 kW maximum rated power using a steel rotor and economic off-the shelf components was designed and investigated. Self-discharge of the proposed FESS design was significantly reduced using a cast silicone bearing seat, which allows supercritical rotor operation. Axial bearing loads were compensated by nearly 100% via repelling permanent magnets allowing drastic down-sizing of the bearings and further reduction of torque loss. The concept was validated by a small-scale test setup, which showed promising results. Finally, an improved design option is compared to the initially proposed FESS in terms of costs and self-discharge.
Multiple-Instance Learning for Natural Scene Classification

We investigate a method called Multiple-Instance learning for learning simple templates that capture the color and spatial properties of classes of natural scene images from a small set of examples. These templates encode a scene class as image patches with color and spatial relations and can be used to classify a variety of natural scenes like elds, waterfalls and mountains among others. Example images are ambiguous since there are many possible templates that can describe an individual image. Multiple-Instance learning makes the ambiguity explicit, and we discuss the Diverse Density algorithm which is a method of learning from ambiguous examples. The system uses very low resolution images to extract the templates from a set of examples. Once a template is learned, we use the COREL photo library to test its retrieval rates and accuracy. We show that very simple templates are suu-cient, and that performance improves with more user interaction.
Ranking DMUs on the benchmark line with equal shadow prices

Data envelopment analysis (DEA) with considering the best condition for each decision making unit (DMU) assesses the relative efficiency for it and divides a homogenous group of DMUs into two categories: efficient and inefficient, but traditional DEA models can not rank efficient DMUs. Although some models were introduced for ranking efficient DMUs, Franklin Lio & Hsuan peng (2008), proposed a common weights analysis (CWA) approach for ranking them. These DMUs are ranked according to the efficiency score weighted by the common set of weights and shadow prices. This study shows there are some cases that shadow prices of efficient DMUs are equal, hence this method is not applicable for ranking them. Next, we propose a new method for ranking units with equal shadow prices.
An O(m + n log n) Algorithm for the Maximum-Clique Problem in Circular-Arc Graphs

We present an algorithm to compute, inO(m+nlogn) time, a maximum clique in circular-arc graphs (withnvertices andmedges) provided a circular-arc model of the graph is given. If the circular-arc endpoints are given in sorted order, the time complexity isO(m). The algorithm operates on the geometric structure of the circular arcs, radially sweeping their endpoints; it uses a very simple data structure consisting of doubly linked lists. Previously, the best time bound for this problem wasO(mloglogn+nlogn), using an algorithm that solved an independent subproblem for each of thencircular arcs. By using the radial-sweep technique, we need not solve each of these subproblems independently; thus we eliminate the loglognfactor from the running time of earlier algorithms. For vertex-weighted circular-arc graphs, it is possible to use our approach to obtain anO(mloglogn+nlogn) algorithm for finding a maximum-weight clique? which matches the best known algorithm.
Risk evasion and decision-making in dynamic investments

Taking into account the vital importance of investment risk evasion, this study focuses on avoidance of risk in a multiasset and multiperiod dynamic investment described by an accumulated wealth stochastic process. On the premise of risk evasion, the optimization of investment decision-making has been discussed in this paper. We first extended Kelly strategies and fractional Kelly strategies (FKS) to more general proportional Kelly strategies (PKS). Based on PKS, we defined standardized risk measure and growth rate measure for accumulated wealth process and induced the properties of the two measures related to PKS. The central concernment of this study is utilizing PKS to analyze the tradeoffs between the growth rate and the standardized risk level of dynamic investments. We obtained the set of efficient growth-risk frontier and the set of efficient growth-risk strategies, respectively. We also studied the relations between Kelly strategy and PKS and analysed the impact of logarithmic target accumulated return on PKS decision making.
Preclinical evaluation of HBY 097, a new nonnucleoside reverse transcriptase inhibitor of human immunodeficiency virus type 1 replication

HBY 097 [(S)-4-isopropoxycarbonyl-6-methoxy-3-(methylthiomethyl)-3, 4-dihydroquinoxaline-2(1H)-thione] was selected from a series of quinoxalines as a nonnucleoside inhibitor of human immunodeficiency virus type 1 (HIV-1) reverse transcriptase (NNRTI). HBY 097 was shown to be a highly potent inhibitor of HIV-1 induced cell killing and HIV-1 replication in a variety of human cell lines as well as in fresh human peripheral blood lymphocytes and macrophages. The compound was also active against a variety of clinical isolates of HIV-1 including different HIV-1 subtypes and viruses resistant to 3'-deoxy-3'-azidothymidine. Mutant reverse transcriptases which arise as a consequence of treatment with other nonnucleoside inhibitors of HIV-1 reverse transcriptase were still inhibited by HBY 097 at relatively low concentrations. An HIV-1MN variant resistant to inhibition by HBY 097 displayed in the reverse transcriptase gene a mutation causing a substitution at position 190 of a glutamic acid for a glycine residue (G190 --> E), which is characteristic for quinoxaline derivatives. The drug was demonstrated to possess a favorable toxicity profile and to show good oral bioavailability in both mice and dogs. As a consequence of its outstanding properties, HBY 097 was selected for further development and is at present undergoing clinical trials.
Associations of Maternal and Infant Testosterone and Cortisol Levels With Maternal Depressive Symptoms and Infant Socioemotional Problems

This study examined the associations of testosterone and cortisol levels with maternal depressive symptoms and infant socioemotional (SE) problems that are influenced by infant gender. A total of 62 mothers and their very-low-birth weight (VLBW) infants were recruited from a neonatal intensive care unit at a tertiary medical center in the southeast United States. Data were collected at three time points (before 40 weeks’ postmenstrual age [PMA] and at 3 months and 6 months of age corrected for prematurity). Measures included infant medical record review, maternal interview, biochemical assays of salivary hormone levels in mother-VLBWinfant pairs, and standard questionnaires. Generalized estimating equations with separate analyses for boys and girls showed that maternal testosterone level was negatively associated with depressive symptoms in mothers of boys, whereas infant testosterone level was negatively associated with maternal report of infant SE problems in girls after controlling for characteristics of mothers and infants and number of days post birth of saliva collection. Not surprisingly, the SE problems were positively associated with a number of medical complications. Mothers with more depressive symptoms reported that their infants had more SE problems. Mothers with higher testosterone levels reported that girls, but not boys, had fewer SE problems. In summary, high levels of testosterone could have a protective role for maternal depressive symptoms and infant SE problems. Future research need to be directed toward clinical application of these preliminary results.
WKY/Ztm-ter: a new rat inbred strain on the WKY/Ztm genetic background with congenital teratomas

We describe a new rat model for teratomas (WKY/Ztm-ter) which arose through a spontaneous mutation in the inbred WKY/Ztm rat strain. When the tumours of the gonads became clinically apparent, affected males were 14 to 224 days of age, whereas the females only developed tumours between days 21 and 63. Tumour incidence is not gender-dependent. However, almost all females develop bilateral tumours, while 50% of the males show unilateral tumours. Histologically, all examined tumours (n = 65) represent partially undifferentiated teratocarcinomas.
Accelerated Tests of Soft Errors in Network Systems Using a Compact Accelerator- Driven Neutron Source

The frequency of neutron-induced soft errors is increasing as devices become more integrated and miniaturized. Therefore, it has become more important recently to check reliability of a recovery system from the soft errors in network systems. For accelerated test, first we have examined possibility of the acceleration tests at a compact accelerator-driven neutron source, which is easy to adjust for soft-error tests and which also has low experimental costs. We selected the electron accelerator-driven neutron source at Hokkaido University as the compact accelerator-driven neutron source. We prepared a new target-reflector assembly composed of heavy metals to provide the fast neutrons, and conducted neutron-induced soft-error experiments on network equipments. As a result, we found that an accelerated rate of soft errors was about $10^{{\mathbf {6}}}$ times compared with that of the natural environment. We also investigated network equipment soft-error tolerance, fault detection and backup switching processes. Performing such testing before network equipment is actually deployed is critical for development of future network systems. Hence, the compact accelerator-based neutron source is a very useful tool.