Miracle-dz/UniFAR-FTUs huggingface dataset:
Implantation of Autogenous Meniscal Fragments Wrapped with a Fascia Sheath Enhances Fibrocartilage Regeneration in Vivo in a Large Harvest Site Defect

Background Concerning meniscal tissue regeneration, many investigators have studied the development of a tissue-engineered meniscus. However, the utility still remains unknown. Hypothesis Implantation of autogenous meniscal fragments wrapped with a fascia sheath into the donor site meniscal defect may significantly enhance fibrocartilage regeneration in vivo in the defect. Study Design Controlled laboratory study. Methods Seventy-five mature rabbits were used in this study. In each animal, an anterior one-third of the right medial meniscus was resected. Then, the animals were divided into the following 3 groups of 25 rabbits each: In group 1, no treatment was applied to the meniscal defect. In group 2, the defect was covered with a fascia sheath. In group 3, after the resected meniscus was fragmented into small pieces, the fragments were grafted into the defect. Then, the defect with the meniscal fragments was covered with a fascia sheath. In each group, 5 rabbits were used for histological evaluation at 3, 6, and 12 weeks after surgery, and 5 rabbits were used for biomechanical evaluation at 6 and 12 weeks after surgery. Results Histologically, large round cells in group 3 were scattered in the core portion of the meniscus-shaped tissue, and the matrix around these cells was positively stained by safranin O and toluisin blue at 12 weeks. The histological score of group 3 was significantly higher than that of group 1 and group 2. Biomechanically, the maximal load and stiffness of group 3 were significantly greater than those of groups 1 and 2. Conclusion This study clearly demonstrated that implantation of autogenous meniscal fragments wrapped with a fascia sheath into the donor site meniscal defect significantly enhanced fibrocartilage regeneration in vivo in the defect at 12 weeks after implantation in the rabbit. Clinical relevance This study proposed a novel strategy to treat a large defect after a meniscectomy.
Interactive Installations Analysis - Interaction Design of a Sensory Garden Event -

Interactive Mixed Reality installations combine multimedia with novel multi- modal interaction techniques. As an example of mixed reality environments the "Sensoric Garden" - seven installations shown during a festival in Bremen - are described. As this kind of event cannot be evaluated in terms of usability or effectiveness, we need other categories to assess the attractiveness or "joy of use" of installations. Categories from the discourse on interaction design and interactivity were found helpful for a design reflection into why some installations were an "interactive success" and others failed to meet expectations and received little visitor attention. Copyright © 2002 IFAC
A novel anomaly detection with temporal and spatial aggregation in mobile networks

Mobile networks are becoming more and more advanced, and various internet terminals are accessible. These all call for an increased reliability and stability on cellular networks, especially internet service in cellular networks. In this paper, we propose a new anomaly detection method for periodic network parameters. We use aggregation, including threshold aggregation (TA) and spatial aggregation, to enhance the periodicity of parameters. TA can smooth the small fluctuation when a parameter is in valley and improve the accuracy of anomaly detection. Spatial aggregation uses an unsupervised way which is widely applied in Big Data Analysis to cluster similar base stations (BSs). In each cluster, the periodicity of parameters is highlighted. Our experiments, which are based on real data from current cellular networks, show that, compared with the detection in equal time bins (e.g., hourly aggregation) and settled space (e.g., BS), our aggregation method improves the detection results efficiently.
Detecting Ventricular Fibrillation by Time-Delay Methods

A pivotal component in automated external defibrillators (AEDs) is the detection of ventricular fibrillation (VF) by means of appropriate detection algorithms. In scientific literature there exists a wide variety of methods and ideas for handling this task. These algorithms should have a high detection quality, be easily implementable, and work in realtime in an AED. Testing of these algorithms should be done by using a large amount of annotated data under equal conditions. For our investigation we simulated a continuous analysis by selecting the data in steps of 1 s without any preselection. We used the complete BIH-MIT arrhythmia database, the CU database, and files 7001-8210 of the AHA database. For a new VF detection algorithm we calculated the sensitivity, specificity, and the area under its receiver operating characteristic curve and compared these values with the results from an earlier investigation of several VF detection algorithms. This new algorithm is based on time-delay methods and outperforms all other investigated algorithms
Percutaneous treatment of left main and non-left main bifurcation coronary lesions using drug-eluting stents

ABSTRACT Current evidence and guidelines support the use of the single-stent technique as the default treatment strategy for the treatment of coronary bifurcations. For the single-stent technique, routine final kissing balloon inflation is not recommended, unless side branch ostial stenosis is assumed to be functionally significant. The double-stent technique is still a viable option for bifurcations with large and severely diseased side branches. Due to the unique features of bifurcation anatomy and bifurcation stenting techniques, all deployed stents should be optimized by postdilation, kissing balloon inflation and/or the proximal optimization technique, regardless of the stenting technique used. Intravascular ultrasound can guide preimplantation decision-making and postimplantation optimization by providing information on reference diameter, plaque burden and distribution, and stent underexpansion and malapposition.
On the Quarantine Period for Ebola Virus

Background: 21 days has been regarded as the appropriate quarantine period for holding individuals potentially exposed to Ebola Virus (EV) to reduce risk of contagion. There does not appear to be a systematic discussion of the basis for this period. Methods: The prior estimates for incubation time to EV were examined, along with data on the first 9 months of the current outbreak. These provided estimates of the distribution of incubation times. Results: A 21 day period for quarantine may result in the release of individuals with a 0.2 - 12% risk of release prior to full opportunity for the incubation to proceed. It is suggested that a detailed cost-benefit assessment, including considering full transmission risks, needs to occur in order to determine the appropriate quarantine period for potentially exposed individuals.
A MAJOR POLYPEPTIDE OF CHLOROPLAST MEMBRANES OF CHLAMYDOMONAS REINHARDI

Electrophoresis of thylakoid membrane polypeptides from Chlamydomonas reinhardi revealed two major polypeptide fractions. But electrophoresis of the total protein of green cells showed that these membrane polypeptides were not major components of the cell. However, a polypeptide fraction whose characteristics are those of fraction c (a designation used for reference in this paper), one of the two major polypeptides of thylakoid membranes, was resolved in the electrophoretic pattern of total protein of green cells. This polypeptide could not be detected in dark-grown, etiolated cells. Synthesis of the polypeptide occurred during greening of etiolated cells exposed to light. When chloramphenicol (final concentration, 200 µg/ml) was added to the medium during greening to inhibit chloroplastic protein synthesis, synthesis of chlorophyll and formation of thylakoid membranes were also inhibited to an extent resulting in levels of chlorophyll and membranes 20–25% of those found in control cells. However, synthesis of fraction c was not affected by the drug. This polypeptide appeared in the soluble fraction of the cell under these conditions, indicating that this protein was synthesized in the cytoplasm as a soluble component. When normally greening cells were transferred from light to dark, synthesis of the major membrane polypeptides decreased. Also, it was found that synthesis of both subunits of ribulose 1, 5-diphosphate carboxylase was inhibited by chloramphenicol, and that synthesis of this enzyme stopped when cells were transferred from light to dark.
Optimal Probabilistic Forecasts for Counts

Optimal probabilistic forecasts of integer-valued random variables are derived. The optimality is achieved by estimating the forecast distribution nonparametrically over a given broad model class and proving asymptotic efficiency in that setting. The ideas are demonstrated within the context of the integer autoregressive class of models, which is a suitable class for any count data that can be interpreted as a queue, stock, birth and death process or branching process. The theoretical proofs of asymptotic optimality are supplemented by simulation results which demonstrate the overall superiority of the nonparametric method relative to a misspecified parametric maximum likelihood estimator, in large but . nite samples. The method is applied to counts of wage claim benefits, stock market iceberg orders and civilian deaths in Iraq, with bootstrap methods used to quantify sampling variation in the estimated forecast distributions.
Endophytic fungi from pigeon pea [Cajanus cajan (L.) Millsp.] produce antioxidant Cajaninstilbene acid.

In this study, novel endophytic fungi producing cajaninstilbene acid (CSA) from pigeon pea [ Cajanus cajan (L.) Millsp. ] were investigated and screened. CSA has prominent pharmacological activities. A total of 110 endophytic fungi isolates were grouped into 8 genera on the basis of morphological characteristics, and CSA-producing fungi were screened by liquid chromatography-tandem mass spectrometry (LC-MS/MS). According to ITS-rDNA sequences analysis, the CSA-producing fungi were identified as Fusarium solani (ERP-07), Fusarium oxysporum (ERP-10), and Fusarium proliferatum (ERP-13), respectively. The amount of CSA produced by the ERP-13 reached 504.8 ± 20.1 μg/L or 100.5 ± 9.4 μg/g dry weight of mycelium. In a DPPH radical-scavenging assay, when the concentration of fungal CSA was 500 μg/mL, inhibition percentage could reach 80%, which was almost the same as that of standard CSA. This study first reported the natural antioxidant CSA from endophytic fungi F. solani and F. proliferatum isolated from pigeon pea.
Draft Genome Sequences of Gluconobacter cerinus CECT 9110 and Gluconobacter japonicus CECT 8443, Acetic Acid Bacteria Isolated from Grape Must

ABSTRACT We report here the draft genome sequences of Gluconobacter cerinus strain CECT9110 and Gluconobacter japonicus CECT8443, acetic acid bacteria isolated from grape must. Gluconobacter species are well known for their ability to oxidize sugar alcohols into the corresponding acids. Our objective was to select strains to oxidize effectively d-glucose.
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition

Symmetric positive semi-definite (SPSD) matrix approximation methods have been extensively used to speed up large-scale eigenvalue computation and kernel learning methods. The standard sketch based method, which we call the prototype model, produces relatively accurate approximations, but is inefficient on large square matrices. The Nystrom method is highly efficient, but can only achieve low accuracy. In this paper we propose a novel model that we call the fast SPSD matrix approximation model. The fast model is nearly as efficient as the Nystrom method and as accurate as the prototype model. We show that the fast model can potentially solve eigenvalue problems and kernel learning problems in linear time with respect to the matrix size n to achieve 1 + e relative-error, whereas both the prototype model and the Nystrom method cost at least quadratic time to attain comparable error bound. Empirical comparisons among the prototype model, the Nystrom method, and our fast model demonstrate the superiority of the fast model. We also contribute new understandings of the Nystrom method. The Nystrom method is a special instance of our fast model and is approximation to the prototype model. Our technique can be straightforwardly applied to make the CUR matrix decomposition more efficiently computed without much affecting the accuracy.
Sweat sodium loss influences serum sodium concentration in a marathon

The aim of this investigation was to determine the influence of sweat electrolyte concentration on body water and electrolyte homeostasis during a marathon. Fifty‐one runners completed a marathon race in a warm and dry environment (24.4 ± 3.6 °C). Runners were classified as low‐salt sweaters (n = 21; <30 mmol/L of sweat Na+ concentration), typical sweaters (n = 20; ≥30 and <60 mmol/L of sweat Na+ concentration), and salty sweaters (n = 10; ≥60 mmol/L of sweat Na+ concentration). Before and after the race, body mass and a sample of venous blood were obtained. During the race, sweat samples were collected by using sweat patches, and fluid and electrolyte intake were recorded by using self‐reported questionnaires. Low‐salt, typical and salty sweaters presented similar sweat rates (0.93 ± 0.2, 0.92 ± 0.29, 0.99 ± 0.21 L/h, respectively), body mass changes (−3.0 ± 1.0, −3.3 ± 1.0, −3.2 ± 0.8%), total Na+ intake (12.7 ± 8.1, 11.5 ± 9.7, 14.5 ± 16.6 mmol), and fluid intake (1.3 ± 0.8, 1.2 ± 0.8, 1.2 ± 0.6 L) during the race. However, salty sweaters presented lower post‐race serum Na+ concentration (140.8 ± 1.3 vs 142.5 ± 1.1, 142.4 ± 1.4 mmol/L; P < 0.01) and serum osmolality (297 ± 6 vs 299 ± 5, 301 ± 6 mOsm/kg; P < 0.05) than low‐salt and typical sweaters. Sweat electrolyte concentration could influence post‐race serum electrolyte concentration in the marathon. However, even the saltiest sweaters did not develop exercise‐associated hyponatremia or associated symptoms.
NECO: NEtwork COding simulator

We present NECO, a high-performance simulation framework dedicated to the evaluation of network coding based protocols. Its main features include (1) definition of graphs representing the topology (which can be generated randomly or pre-defined by means of a standard representation), (2) modular specification of network coding protocols, (3) visualization of the network operation and (4) extraction of key statistics. The simulator is entirely written in Python and can be easily extended to account for extra functionalities.
Silhouette-Based Multiple-View Camera Calibration

In this paper, we present an efficient method for calibrating many camera views simultaneously. We derive an error function based on the mutual consistency of the object silhouettes in pairs of views and explicitly derive gradients that are employed for minimizing the error function. Our experimental results suggest that the gradient-based minimization of the error function robustly calibrates multiple camera views. Due to the explicit availability of gradients, the technique is also computationally efficient.
Algebraic structures in automata and databases theory

Part 1 Pure automata: main notions universal automata moors automata constructions decomposition of finite pure automata free pure automata generalizations. Part 2 Linear automata: main properties constructions decompositions of linear automata and biautomata automorphisms of linear automata. Part 3 Varieties of automata: identities of pure automata varieties of pure automata identities of linear automata and biautomata varieties of biautomata quasivarieties of automata. Part 4 Automaton's model of databases: *-automata polyadic and cylindric algebras universal *-automaton databases dynamical databases.
Forecasting high and low of financial time series by particle filters and Kalman filters

The analysis of ﬁnancial time series is very useful in the economic world. This paper deals with a data-driven empirical analysis of ﬁnancial time series. In this paper we present a forecasting method of the ﬁrst stopping times, when the prices cross for the ﬁrst time a "high" or "low" threshold deﬁned by the trader, based on an empirical functional analysis of the past "tick data" of the series, without resampling. An originality of this method is that it does not use a theoretical ﬁnancial model but a non-parametric space state representation with non-linear RBF neural networks. Modelling and forecasting are made by Particles systems and Kalman ﬁlters. This method can be applied to any forecasting problem of stopping time, but is particularly suited for data showing nonlinear dependencies and observed at irregularly and randomly spaced times like ﬁnancial time series of «tick data» do. The method is applied to the forecasting of stopping times of "high" and "low" of ﬁnancial time series in order to be useful for speculators
Clinical efficacy of immunochemotherapy with fludarabine, epirubicin and rituximab in the treatment for chronic lymphocytic leukaemia and prolymphocytic leukaemia

Despite some considerable progress in the therapy for chronic lymphocytic leukaemia (CLL) owing to fludarabine‐based regimens and rituximab, no curative treatment is available so far. We conducted an explorative phase II study in patients with CLL, prolymphocytic leukaemia (PLL) and leukaemic lymphoplasmacytic lymphoma (LL) with the combination of fludarabine, epirubicin and rituximab (FER) to improve the complete remission (CR) rate and progression‐free survival (PFS). Fludarabine 25 mg/m2 was administered i.v. on days 1–5 and epirubicin 25 mg/m2 i.v. on days 4 and 5, and rituximab was added at a dose of 375 mg/m2 i.v. day 1 in the first cycle and at a dose of 500 mg/m2 in all consecutive cycles. Patients exhibiting responsive disease after FER were eligible to receive maintenance therapy of up to 12 cycles of rituximab 375 mg/m2 bimonthly. Forty‐four patients (38 CLL, 4 PLL and 2 LL) with a median age of 65 yrs (43–84 yrs) were evaluable. Seventeen patients with CLL had stage Binet C, 14 Binet B and seven symptomatic or rapid progressive stage Binet A. Cytogenetic features showed normal karyotype in nine cases, an isolated deletion (del) 13q in 12 patients, trisomy 12 in 7, del 11 in two and del 17p in 4. Half of the patients (48%) had mutated IgVH genes. Treatment with FER achieved an overall response rate of 95%, including 63% CRs and 32% PRs. Haematological toxicity was considerable. After a median follow‐up period of 34 months (range: 8–84 months), median PFS was 61 months and overall survival was yet not reached. All patients with PLL and LL achieved CR. The data support the high efficacy of the combination of rituximab with chemotherapy (FE) and are suggestive of possible benefit with rituximab maintenance therapy for PFS and DFS.
Stem Translation with Affix-Based Rule Selection for Agglutinative Languages

Current translation models are mainly designed for languages with limited morphology, which are not readily applicable to agglutinative languages as the difference in the way lexical forms are generated. In this paper, we propose a novel approach for translating agglutinative languages by treating stems and affixes differently. We employ stem as the atomic translation unit to alleviate data spareness. In addition, we associate each stemgranularity translation rule with a distribution of related affixes, and select desirable rules according to the similarity of their affix distributions with given spans to be translated. Experimental results show that our approach significantly improves the translation performance on tasks of translating from three Turkic languages to Chinese.
Broad-Range PCR-Electrospray Ionization Mass Spectrometry for Detection and Typing of Adenovirus and Other Opportunistic Viruses in Stem Cell Transplant Patients

ABSTRACT Hematopoietic stem cell transplant patients are highly susceptible to viral infections. Follow-up after transplantation includes weekly screening using single, virus-specific real-time PCR tests, mainly for viruses in the families Herpesviridae and Adenoviridae that contribute to a high morbidity, especially in pediatric populations. The Abbott PLEX-ID platform combines broad-range PCR with electrospray ionization mass spectrometry to enable the simultaneous detection of multiple pathogens in a single assay. The Viral IC Spectrum assay detects human adenoviruses, viruses from the family Herpesviridae (herpes simplex virus 1 [HSV-1], HSV-2, cytomegalovirus [CMV], Epstein-Barr virus [EBV], varicella-zoster virus [VZV], and human herpesvirus 8 [HHV-8]), human enterovirus, polyomaviruses (BK and JC), and parvovirus B19. We evaluated the performance of the Viral IC Spectrum assay with samples from 16 adult and 36 pediatric stem cell transplant patients. The sensitivity of the Viral IC Spectrum assay compared to real-time PCR quantification using the adenovirus Rgene kit for the detection of adenovirus was 96.7% from plasma samples (n = 92) and 78% from stool samples (n = 100). No adenovirus was detected in samples from noninfected patients (n = 30). PLEX-ID species identification was perfectly concordant with species-specific real-time PCR assays. In plasma and stool samples, the level of amplified products measured by PLEX-ID and the quantity in copies/ml (r = 0.82 and 0.78, respectively) were correlated up to 6 log10 copies/ml. In 67.4% of adenovirus-positive plasma samples, at least one other viral infection was detected; these included BK virus (n = 41), CMV (n = 30), EBV (n = 26), JC virus (n = 9), and HSV-1 (n = 6). The results of this study suggest that the Viral IC Spectrum assay performed on the PLEX-ID platform is reliable for adenovirus infection diagnosis in immunocompromised patients.
Silicone oil emulsions: strategies to improve their stability and applications in hair care products

Silicone oils have wide range of applications in personal care products due to their unique properties of high lubricity, non‐toxicity, excessive spreading and film formation. They are usually employed in the form of emulsions due to their inert nature. Until now, different conventional emulsification techniques have been developed and applied to prepare silicone oil emulsions. The size and uniformity of emulsions showed important influence on stability of droplets, which further affect the application performance. Therefore, various strategies were developed to improve the stability as well as application performance of silicone oil emulsions. In this review, we highlight different factors influencing the stability of silicone oil emulsions and explain various strategies to overcome the stability problems. In addition, the silicone deposition on the surface of hair substrates and different approaches to increase their deposition are also discussed in detail.
Systematic Synthesis of KHN Filters 2 . 1 NAM Equation of KHN Filters

According to the nullor-mirror descriptions of OTA, the NAM expansion method for three different types of KHN filters employing OTAs is considered. The type-A filters employing five OTAs have 32 different forms, the type-B filters employing four OTAs have 32 different forms, and the type-C filters employing three OTAs have eight different forms. At last a total of 72 circuits are received. Having used canonic number of components, the circuits are easy to be integrated and both pole frequency and Qfactor can be tuned electronically through tuning bias currents of the OTAs. The MULTISIM simulation results have been included to verify the workability of the derived circuit.