Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-time online camera synchronization for volume carving on GPU

Volume carving is a well-known technique for reconstructing a 3D scene from a set of 2D images, using features detected in individual cameras, and camera parameters. Spatial calibration of the cameras is well understood, but the resulting carved volume is very sensitive to temporal offsets between the cameras. Automatic synchronization between the cameras is therefore desirable. In this paper, we present a highly efficient implementation of volume carving and synchronization on a heterogeneous system fitted with commodity GPUs using an improved version of the algorithm in [1]. An online, real-time synchronization system is described and evaluated on surveillance video of an indoor scene. Improvements to the state of the art CPU-based algorithms are described.
Karakteristik Perusahaan Terhadap Kualitas Implementasi Corporate Governance

This study aimed to provide empirical evidence that investment opportunities,ownership concentration, leverage, firm size and quality of external audit influenced the qualityof corporate governance. The study also observed companies that listing in BEI and participatinga survey which was conducted by IICG. The observation period range was 2006-2008. Thesample selection was using purposive sampling method. The companies matched the criteriawere 53 companies, and the analysis method used was multiple regression. The results of thestudy showed that investment opportunities, ownership concentration, and leverage did notinfluence the quality of corporate governance whereas the firm size and the quality of externalaudit influenced the quality of corporate governance.
Molecular cloning, sequencing, and transcriptional analysis of the groESL operon from Bacillus stearothermophilus

Using a gene probe of the Bacillus subtilis groEL gene, a 7.3-kb HindIII fragment of chromosomal DNA of Bacillus stearothermophilus was cloned. Sequencing of 2,309 bp led to the detection of two open reading frames in the order groES groEL. Primer extension studies revealed one potential transcription start site preceding the groESL operon, which was activated upon temperature upshift. Northern blot (RNA) analysis resolved two mRNA species with lengths of 2.2 and 1.5 kb; RNA slot-blot experiments revealed an at least 10-fold increase in the amount of specific mRNA from 0 to 7 min postinduction followed by a decrease. The 9-bp inverted repeat characteristic of many gram-positive bacteria was found within the 5' leader region of the mRNA. The groESL operon of B. stearothermophilus could complement E. coli groES(Ts) and groEL(Ts) mutants for growth at high temperature and for propagation of phage lambda.
Interpretation of surface EMGs in children with cerebral palsy: An initial study using a fuzzy expert system

Surface EMG detected simultaneously at different muscles has become an important tool for analysing the gait of children with cerebral palsy (CP), as it offers essential information about muscular coordination. However, the interpretation of surface EMG is a difficult task that assumes extensive knowledge and experience. As such, this noninvasive procedure is not frequently used in the general clinical routine. An Artificial Intelligence (AI) system for interpreting surface EMG signals and the resulting muscular coordination patterns could overcome these limitations. To support such interpretation, an expert system based on fuzzy inference methodology was developed. The knowledge‐base of the system implemented 15 rules, from which the fuzzy inference methodology performs a prediction of the effectiveness of the muscular coordination during gait. Our aim was to assess the feasibility and value of such an expert system in clinical applications. Surface EMG signals were recorded from the tibialis anterior, soleus muscle, and gastrocnemius muscles of children with CP to assess muscular coordination patterns of ankle movement during gait. Nineteen children underwent 114 surface EMG measurements. Simultaneously, the gait cycles of each patient were determined using foot switches and videotapes. From the EMG signals, the effectiveness of the ankle movement was predicted by the expert system, and predictions were classified using a three‐point ordinal scale. In 91 cases (80%), the clinical findings matched the predictions of the expert system. In 23 cases (20%) the predictions of the expert system differed from the clinical findings with 12 cases revealing worse and 11 cases revealing better results in comparison to the clinical findings. As this study is a first attempt to verify the feasibility and correctness of this expert system, the results are promising. Further study is required to assess the correlation with the kinematic data and to include the whole leg. © 2006 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 24:438–447, 2006
Regression‐Based Landmark Detection on Dynamic Human Models

Detecting anatomical landmarks on various human models with dynamic poses remains an important and challenging problem in computer graphics research. We present a novel framework that consists of two‐level regressors for finding correlations between human shapes and landmark positions in both body part and holistic scales. To this end, we first develop pose invariant coordinates of landmarks that represent both local and global shape features by using the pose invariant local shape descriptors and their spatial relationships. Our body part‐level regression deals with the shape features from only those body parts that correspond to a certain landmark. In order to do this, we develop a method that identifies such body parts per landmark, by using geometric shape dictionary obtained through the bag of features method. Our method is nearly automatic, as it requires human assistance only once to differentiate the left and right sides. The method also shows the prediction accuracy comparable to or better than those of existing methods, with a test data set containing a large variation of human shapes and poses.
Ocular neuromyotonia in Graves dysthyroid orbitopathy.

OBJECTIVES To describe 2 patients with ocular neuromyotonia in association with Graves orbitopathy and to consider the possible underlying mechanisms. DESIGN Description of the clinical findings in 2 patients with these conditions. SETTING Neuro-ophthalmology referral centers. PATIENTS Two patients, aged 55 and 52 years, had episodic, involuntary periods of vertical diplopia and dysthyroid orbitopathy. INTERVENTION Treatment with carbamazepine in one patient and external beam radiation therapy in the second patient. MAIN OUTCOME MEASURES Frequency and duration of episodic spasms of the extraocular muscles. RESULTS Although radiation therapy is the most common association with ocular neuromyotonia, it cannot explain the involuntary contractions of extraocular muscles in all affected patients. Other mechanisms must be involved, such as those discussed in this article. CONCLUSION Ocular neuromyotonia is described in 2 patients with dysthyroid orbitopathy, confirming previous findings. Possible mechanisms are given.
Structure of genes narL and narX of the nar (nitrate reductase) locus in Escherichia coli K-12

narL and narX mediate nitrate induction of nitrate reductase synthesis and nitrate repression of fumarate reductase synthesis. We report here the nucleotide sequences of narL and narX. The deduced protein sequences aid in defining distinct subclasses of regulators and sensors in the family of two-component regulatory proteins.
Effect of Metoclopramide on Gastric Fluid Volumes in Diabetic Patients Who Have Fasted before Elective Surgery

Background: Diabetes-induced gastroparesis is believed to increase fasting gastric fluid volume before elective surgery. Metoclopramide is routinely administered preoperatively to reduce gastric fluid volume in these patients. This study compared nondiabetic controls to non–insulin-dependent and insulin-dependent diabetics to determine the effect of metoclopramide, administered before surgery, on gastric volumes in patients who fasted before surgery. Methods: Control and diabetic patients fasted preoperatively before receiving either placebo or 10 mg intravenous metoclopramide 20 min before induction of anesthesia. After intubation, a gastric tube was placed, and stomach contents were aspirated with volumes compared among the groups. Results: Both groups of diabetic patients were older than the control group, and insulin-dependent patients had a higher incidence of comorbidities compared with the non–insulin-dependent group. Fasting blood sugar and hemoglobin A1C values were higher in both insulin-dependent and non–insulin-dependent patients. Gastric fluid volumes were similar in control, non–insulin-dependent, and insulin-dependent patients (8.0 ± 2.6 vs. 9.6 ± 4.1 vs. 17.7 ± 2.5 ml, respectively). In insulin-dependent diabetic patients, metoclopramide decreased gastric volume compared with placebo treatment (17.7 ± 2.5 vs. 7.8 ± 2.9 ml; P = 0.027). After stratification, a subpopulation of patients with poorly controlled diabetes, regardless of type, were identified to have increased gastric residual volumes. Conclusion: In elective surgical patients who have fasted before surgery, gastric volumes are minimal, even in diabetics with severe neuropathic symptoms. Metoclopramide prophylaxis to reduce gastric volumes seems to be unnecessary unless the patient has a prolonged history of poor blood glucose control.
Methods for Calculating Expected Voltage Drops of Prospective Power Transmission Systems

This paper provides a description of the options for calculating the electrical parameters of power transmission systems in the cases of both one and two parallel consumers. The meaning of the root formulas of the quadratic equations is analyzed and the variants of how to determine the correct root in relation to the real situations is studied, concluding that the second root is also possible from the point of view of mathematics and electrical engineering. The significance of discriminant expressions is analyzed by numerically studying cases with electric transport and its catenary by performing simulations.
Genetic markers of pandemic Vibrio parahaemolyticus: are they truly unique?

Vibrio parahaemolyticus is a gram-negative, halophilic bacterium that occurs in estuarine environments worldwide (DePaola et al., 1990). The thermostable direct hemolysin and thermostable direct hemolysin-related hemolysin encoded by tdh and trh genes, respectively, are considered major virulence factors for this organism (Nishibuchi and Kaper, 1995). With the emergence of pandemic clone of V. parahaemolyticus, this organism has assumed significance in recent years (Matsumoto et al., 2000). A group-specific polymerase chain reaction (GS-PCR) based on the sequence variation in the toxRS operon was developed to differentiate pandemic and nonpandemic strains (Matsumoto et al., 2000), but several researchers reported the occurrence of GS-PCR + V. parahaemolyticus strains that did not appear to belong to the pandemic clone (Osawa et al., 2002; Vongxay et al., 2008). Okura and colleagues have developed a multiplex PCR that distinguishes pandemic clone from other V. parahaemolyticus by combining tdh gene PCR and GS-PCR (Okura et al., 2003). However, this multiplex PCR is not suitable for direct detection of pandemic clone in samples because seafood or water contaminated with both tdh + and GS-PCR + V. parahaemolyticus may give false-positive results. The eighth open reading frame (ORF8) of a filamentous phage (f237) is unique to pandemic clone and considered as a genetic marker for this clone (Nasu et al., 2000). However, several recent studies have reported the absence of ORF8 in many GS-PCR-positive strains (Bhuiyan et al., 2002; Raghunath et al., 2008). Recently, Vongxay et al. (2008) reported two seafood isolates that were negative for tdh, trh, and GS-PCR, but positive for orf8. Several PCR-based methods have been developed for the detection of pandemic clone of V. parahaemolyticus (Okura et al., 2004; Williams et al., 2004). However, previous reports suggest that these PCR-based methods are unreliable for identification of pandemic clone of V. parahaemolyticus (Parvathi et al., 2006; Raghunath et al., 2008). Hurley et al. (2006) identified seven genomic islands (VPaI-1 to VPaI-7) that were unique to pandemic clone. More recently, it has been reported that only VPaI-1, VPaI-4, and VPaI-5 are specific for pandemic clone (Chao et al., 2009, 2010). However, more number of V. parahaemolyticus isolates from different regions should be screened for these three genomic islands before considering unique for pandemic clone.
A hybrid due-date fulfilled forecasting based on clustering and decision trees

In wafer fabrication, due date fulfilling is very important. How to timely delivering the goods to customer is very important. It will enhance customer service and competitive advantage. But the complexities of production system and re-entrant processes in wafer fabrication have raised the challenge for due date management. How to predict due date related performance is very important. In this research, a predict model of due date related performance based on decision tree has been modeled. Due date fulfilling performance will be classified to EE (extremely earliness), NE (Normal earliness), OT (On time), NL (Normal lateness), EL (Extremely lateness) based on the decision tree trained by a great quantity of historical data. Furthermore, different combination of order releasing rules (UNIF, TB, and WR) and dispatching rules (FIFO, EDD, CR, SRPT, and COVERT) have been considered in the simulation tests. In the result of simulation and statistics, average rate of correctly classifying is more than 90%. Especially in the combination of TB*SRPT, UNIF*COVERT, and WR*COVERT, the rate are larger than 95%. Managers of the wafer fabrication plants can improve the decision quality for due date management and shop floor control by prediction the due date related performance.
Structure and mapping of antigenic domains of protein antigen b, a 38,000-molecular-weight protein of Mycobacterium tuberculosis

Only a limited number of proteins from Mycobacterium tuberculosis have so far been shown to possess species-specific epitopes as defined by monoclonal antibodies. One such protein is protein antigen b (Pab) of molecular weight 38,000, which binds the monoclonal antibodies HYT 28, HAT 2, HBT 12, HGT 3, TB 71, and TB 72. The gene encoding this protein was isolated from a lambda gt11 M. tuberculosis DNA library. The nucleotide sequence of the recombinant mycobacterial insert was determined, and an open reading frame of 374 amino acids was identified. The amino acid sequence exhibited 30% homology to a phosphate-binding protein, PstS, from Escherichia coli. The pab gene was subcloned into pBR322 in conjunction with the lacZ gene, and deletions were obtained from the 3' end. The anti-Pab monoclonal antibodies were used to probe crude protein lysates of E. coli transformed with the deletion plasmids. The monoclonal antibodies showed two reactivity patterns; one group of antibodies were dependent on the presence of the ultimate 91 amino acids of the protein, whereas another group of antibodies recognized an antigenic domain located on the middle portion of the molecule. None of the antibodies bound to the N-terminal 117-amino-acid peptide.
Effect of Porins and Plasmid-Mediated AmpC β-Lactamases on the Efficacy of β-Lactams in Rat Pneumonia Caused by Klebsiella pneumoniae

ABSTRACT The in vivo activities of imipenem, meropenem, and cefepime were studied in a model of rat pneumonia caused by a plasmid-mediated AmpC β-lactamase ACT-1-producing Klebsiella pneumoniae strain (K. pneumoniae strain 12) and a derivative porin-deficient mutant (K. pneumoniae strain 12dp). No differences between these activities were seen with K. pneumoniae 12. Only meropenem showed an activity slightly better than that of imipenem with K. pneumoniae 12dp.
Analytical design of X-couplers

Symmetric X-couplers are analyzed using the supermode approach. Constraints for lossless propagation are presented. A simple analytic approximation for the total accumulated phase difference of the supermodes is found that enables the calculation of the coupling ratio of arbitrary symmetric X-couplers. Good agreement is found between results obtained with the proposed method and data calculated using a beam-propagation method. The impact of several design parameters on the coupling ratio is discussed. Due to the simplicity of the structure, X-couplers are well suited for being realized by direct light-writing techniques.
Concentrations of Gemifloxacin at the Target Site in Healthy Volunteers after a Single Oral Dose

ABSTRACT Free gemifloxacin concentrations in the interstitial space fluid of skeletal muscle and subcutaneous adipose tissue were measured by means of in vivo microdialysis to characterize the ability of gemifloxacin to penetrate human soft tissues. Twelve healthy volunteers received a single oral dose of 320 mg of gemifloxacin. The mean areas under the concentration-time curves from 0 to 10 h (AUC0-10) were significantly higher for soft tissue than for unbound gemifloxacin in plasma (P < 0.05). The ratios of the mean AUC0-10 for tissue to the AUC0-10 for free gemifloxacin in plasma were 1.7 ± 0.7 (mean ± standard deviation) for skeletal muscle and 2.4 ± 1.0 for adipose tissue. The AUC0-24 ratios for free gemifloxacin in tissues to the MIC at which 90% of frequently isolated bacteria are inhibited were close to or higher than 100 h. Therefore, based on pharmacokinetic and pharmacodynamic calculations, we conclude that gemifloxacin might be a useful therapeutic option for the treatment of soft tissue infections.
Is social learning more than parameter tuning?

Social learning enables multiple robots to share learned experiences while completing a task. The literature offers examples where robots trained with social learning reach a higher performance compared to their individual learning counterparts [e.g, 2, 4]. No explanation has been advanced for that observation. In this research, we present experimental results suggesting that a lack of tuning of the parameters in social learning experiments could be the cause. In other words: the better the parameter settings are tuned, the less social learning can improve the system performance.
A flow based method to detect penetration

With the rapid expansion of the Internet, network security has become more and more important. IDS (Intrusion Detection System) is an important technology coping network attacks and is of two main types: network based (NIDS) and host based (HIDS). In this paper, we propose the conception of NFPPB (Network Flow Patterns of Penetrating Behavior) to network vulnerable ports and design a NIDS algorithm to detect infiltration behaviors of attacker. Essentially, NFPPB is a set of metrics calculated by network activities exploiting the vulnerabilities of hosts. The paper investigates choosing, generation and comparison of NFPPB metrics. Experiments show that the method is effective and with high efficiency. At last, the paper addresses the future direction and the points that need to be improved.
Effect of Human Capital on Organization Performance: An Analysis from Service Sector of Punjab, Pakistan

In today’s fast changing environment, where globalization is taking place, competition is increasing day by day. So, it has become a challenge for organizations to remain competitive. In order to remain competitive, it has become necessary for organizations to find ways through which they can compete in competitive world. For this reason, human capital is such a resource that can provide organizations with competitive advantage as human capital resource cannot be easily copied or imitated. In order to find out the impact of human capital on organization performance, present study is carried out in service sector of Punjab, Pakistan. For this purpose data was collected from five major cities of Punjab, Pakistan. Respondents were faculty members of universities and officer grade employees of banking sector. Analysis showed that human capital does affect the career, job and life satisfaction of employees which are indicators of organization performance. Empirical analysis showed that human capital positively affects the career satisfaction as was shown by β = 0.500, and significant at p = 0.000. Same is case with human capital and job satisfaction as represented by β = 0.281, and significant at p = 0.000. Human Capital and life satisfaction was also found to be dependent as shown by β = 0.301, significant at p = 0.000.
Characterization of IDI‐4, a bZIP transcription factor inducing autophagy and cell death in the fungus Podospora anserina

In filamentous fungi a cell death reaction occurs when hyphae of unlike genotype fuse. This phenomenon is referred to as heterokaryon incompatibility. In Podospora anserina, this cell death reaction was found to be associated with the transcriptional induction of a set of genes termed idi genes (for induced during incompatibility) and activation of autophagy. Herein, we describe the characterization of idi‐4, a novel idi gene encoding a bZIP transcription factor. Expression of idi‐4 is induced during cell death by incompatibility and in various stress conditions. Inactivation of idi‐4 by gene replacement does not suppress incompatibility but we show that overexpression of idi‐4 triggers cell death. Strains which undergo idi‐4‐induced cell death display cytological hallmarks of cell death by incompatibility notably induction of autophagy. We also report that increased expression of idi‐4 leads to transcriptional induction of other idi genes such as idi‐7, the orthologue of the yeast ATG8 autophagy gene. Together these results establish IDI‐4 as one of the transcription factor regulating autophagy and cell fate in Podospora.
ICT Skills: An Essential Graduate Skill in Today's Global Economy?

This paper reflects on the skills required by university graduates to participate successfully in today’s global economy. The development of these skills in students throughout Australian universities has been guided by Core Graduate Attributes (CGA) policies. While information literacy skills have been recognised in most policies, more advanced information technology and communication (ICT) skills and digital literacy have been largely overlooked. Yet, digital technology is all-encompassing with applications that permeate every aspect of the economy. Thus, the skills that graduates require increasingly revolve around knowledge creation and information sharing, insight and analysis, and collaboration and advanced communications skills. The paper discusses the growing need for the development of advanced ICT skills in university graduates; it shows the disparity between CGA policies, current university practice, and the expectations of the world at large; and, it proposes explicit incorporation of these skills to university curriculum, including suggestions for effective implementation.