Miracle-dz/UniFAR-FTUs huggingface dataset:
An Approach to Software Selection Using Semantic Web

For a selection of software applications well-fitting to business needs, accurate knowledge of the needs and avail- able technical skills are required. In a survey we conducted, most of the participants indicated that they consult industry solutions and employ Internet search engines to find suitable software products. However, since a keyword search does not consider semantics of terms describing software characteristics, pertinent search results might not be retrieved. We made a hypothesis that the addition of semantics describing software characteristics could assist in finding software-related infor- mation in a more structural way, which would improve such a search. In order to support the software selection decision we investigated the application of semantic web technology. In addition, we proposed a new approach for an information exchange between software providers and consumers, with the aim of a platform-independent information management. For the description of software products we employed a Resource Description Framework and SPARQL for further querying their descriptions. Our prototype, assisting in cross-platform information exchange and structured search, demonstrated an information exchange between software vendors and customers. This allows users who purchase software to be supported in their decision, and software developers to receive feedback for further software improvement. Experiments with the prototype revealed a performance overhead of SPARQL queries when compared to MySQL database queries. It is proposed that further optimization for SPARQL queries is needed in order to improve the response time of working with triple store. Overall, the test outcomes demonstrated that the proposed solution supports the process of selecting software and has the potential of improving IT infrastructure management practices.
2011the International Conference on Advanced Power System Automation and Protection Investigation of Multi-inverter Distributed Generation Resident Sandia Frequency Shift Anti-islanding Method

With the popularity of the distributed generation (DG), grid-connected inverters are increasingly employed for the renewable energy sources utilization. The inverter is an interface between the power system and the micro-grid, and it is equipped with a variety of inverter control strategies and islanding detection scheme. Islanding detection function is an inte-grant function for grid-connected inverters. The current studies focus on single-inverter system, while the islanding detection strategies in multi-inverters operation are investigated in this paper. From the perspective of multi-inverter systems, this paper investigates the influence of the positive feedback anti-islanding on the stability. First, the analytical model of multi-inverter systems equipped with the positive feedback anti-islanding scheme is set up in the simulation environment of Matlab/Simulink. Second, the scheme's impact on the multi-inverter systems is conducted to obtain the nature and characteristics, and the interactions among multi DGs caused by the scheme are presented in the paper. Third, based on the electromagnetic transient simulations , the above impacts and interactions are verified further. Finally, the conclusions are given out based on the analysis results.
Point-Based Versus Plane-Based Self-Calibration of Static Terrestrial Laser Scanners

Systematic trends are apparent when studying the self-calibration residuals of many modern static terrestrial laser scanners. Since the operation of terrestrial laser scanners is comparable to an efficient robotic total station, the sensor modelling parameters are developed in the spherical coordinate system where the raw observables of the scanner are range, horizontal angle, and vertical angle. Sensor calibration parameters are already well established for both hybrid and panoramic type laser scanners through the signalized target-based self-calibration method. In this paper, a less labour-intensive and more efficient planar-feature based terrestrial laser scanner self-calibration method, which is more suitable for in-situ self-calibration, is presented. Through simulation it will be demonstrated that the point-based self-calibration and plane-based self-calibration shares many common characteristics. Plane-based self-calibration results from real data captured with the panoramic type Leica HDS6100 and hybrid type Trimble GS200 scanner are also presented to show the practicality of the proposed method and as a comparison to the point-based self-calibration.
Malnutrition: laboratory markers vs nutritional assessment

Malnutrition is an independent risk factor for patient morbidity and mortality and is associated with increased healthcare-related costs. However, a major dilemma exists due to lack of a unified definition for the term. Furthermore, there are no standard methods for screening and diagnosing patients with malnutrition, leading to confusion and varying practices among physicians across the world. The role of inflammation as a risk factor for malnutrition has also been recently recognized. Historically, serum proteins such as albumin and prealbumin (PAB) have been widely used by physicians to determine patient nutritional status. However, recent focus has been on an appropriate nutrition-focused physical examination (NFPE) for diagnosing malnutrition. The current consensus is that laboratory markers are not reliable by themselves but could be used as a complement to a thorough physical examination. Future studies are needed to identify serum biomarkers in order to diagnose malnutrition unaffected by inflammatory states and have the advantage of being noninvasive and relatively cost-effective. However, a thorough NFPE has an unprecedented role in diagnosing malnutrition.
Predictors of Death in Under-Five Children with Sepsis Attending an Urban Diarrheal Treatment Centre in Bangladesh

SETTING: Special Care Ward (SCW) of the Dhaka Hospital of icddr,b, Bangladesh. OBJECTIVE: To evaluate the clinical and laboratory predictors of death in under-five children with clinically defined sepsis presenting with diarrhea. METHODS: We prospectively enrolled all the diarrheal children (n = 151) aged 0 to 59 months with clinical sepsis admitted in the SCW during September’2007 through December’2007. Comparison was made between deaths (n = 23) and survivors (n = 128). Sepsis is defined as presence of inflammation [abnormal WBC count (>11 × 10 9 /L or, <4 × 10 9 /L or, band and neutrophil ratio ≤0.10] plus presence or presumed presence of infection with thermo-instability [hypo (≤35.0˚C) or hyperthermia (≥38.5˚C)], tachycardia, tachypnea, and/or the indications of altered organ function (altered mental status and bounding pulse) in the absence of clinical dehydration or after correction of dehydration. RESULTS: The median (inter-quartile range) age (months) of the children who survived and died was comparable [4.0 (2.0, 12.0) vs. 1.5 (0.8, 10.0); p = 0.703]. In the logistic regression analysis, after adjusting for potential confounders, such as abnormal WBC count, use of intravenous fluid, patient with fatal outcome more often presented with hypernatremia (odds ratio = 16.48, 95% confidence interval = 2.21 - 123.12; p = 0.006), lobar consolidation (odds ratio = 19.9, 95% confidence interval = 2.99 - 132.80; p = 0.002), hypoxemia (odds ratio = 14.78, 95% confidence interval = 1.38 157.90; p = 0.026) and severe under-nutrition (odds ratio = 7.57, 95% confidence interval = 1.24 - 46.11; p = 0.028). CONCLUSIONS: Our data suggest that children under-five with clinical sepsis who present with lobar pneumonia, hypoxaemia, severe acute malnutrition and hyperntaemia are at higher risk of death and identification of these simple factors may help clinicians to take prompt initiative for the aggressive management of such children especially in a resource-limited setting like Bangladesh.
A new simplified current control method for field oriented induction motor drives

A simplified current control method which enables an inverter to generate 20 kinds of space voltage vectors is developed, and a digital signal processing (DSP) based software field oriented induction motor drive system using this method is also presented. In this system, a particular sampling technique is used to shorten the dead time in the current control system. Furthermore, a current prediction technique is adopted to force the dead time to equal zero theoretically. The test results of the laboratory model drive system verify the validity of this simplified current control method. <<ETX>>
A concatenated coding scheme based on folded Reed-Solomon codes

A concatenated code construction based on folded Reed-Solomon codes and short inner linear block codes is proposed. A generalization of the Das-Vardy weight assignment scheme to the case of multivariate interpolation decoding is developed. The decoding algorithm for the proposed construction makes use of the weighted version of the Guruswami-Rudra list decoding algorithm and list decoding of inner codes.
Pairminer: mining for paired functions in Kernel extensions

Drivers use kernel extension functions to manage devices, and there are often many rules on how they should be used. Among the rules, utilization of paired functions, which means that the functions must be called in pairs between two different functions, is extremely complex and important. However, such pairing rules are not well documented, and these rules can be easily violated by programmers when they unconsciously ignore or forget about them. Therefore it is useful to develop a tool to automatically extract paired functions in the kernel source and detect incorrect usages. We put forward a method called PairMiner in this paper. Heuristic and statistical mechanisms are adopted to associate with the special structure of drivers' source code, to find out paired functions between relative operations, and then to detect violations with extracted paired functions. In the experiment evaluation, we have successfully found 1023 paired functions in Linux 3.10. 10. The utility of PairMiner was evaluated by analyzing the source code of Linux 2.6. 38 and 3.10. 10. PairMiner located 265 bugs about paired function violations in 2.6. 38 which have been fixed in 3.10. 10. We also have identified 1994 paired function violations which have not yet been fixed in 3.10. 10. We have reported some violations as potential bugs with emails to the developers, 27 developers have replied the emails and 20 bugs have been confirmed so far, 2 violations are confirmed as false positive.
An Anarchic Society Optimization Algorithm for a Flow-Shop Scheduling Problem with Multiple Transporters between Successive Machines

This paper addresses a Permutation Flow-shop Scheduling Problem (PFSP) where there is a finite number of transporters between any two successive machines to carry jobs from one machine to the subsequent machine. In order to solve the problem, an effective Anarchic Society Optimization (ASO) algorithm is developed to find a sequence of jobs with nearly-minimum makespan. The proposed ASO algorithm is compared with a Particle Swarm Optimization (PSO) algorithm on a set of benchmark test problems. The results show that the ASO algorithm considerably outperforms the PSO algorithm. Finally, a sensitivity analysis is carried out to examine the impact of the number of transporters on the performance of the manufacturing system.
Upper Bounds on Network Lifetime for Clustered Wireless Sensor Networks

This paper focuses on the theoretical aspects of clustering in wireless sensor networks, as a mean to improve network lifetime. We investigate whether clustering itself (with no data aggregation) can improve network lifetime in particular application when compared to non-clustered networks. We use integer linear programming to analyse 1D and 2D networks, taking into account capabilities of real-life nodes. Our results show that clustering itself cannot improve network lifetime so additional techniques and means are required to be used in synergy with clustering.
A study of opinion mining and visualization of hotel reviews

Travel websites like TripAdvisor are nowadays important tools for travelers when deciding which hotels to stay in, and what restaurants and tourist attractions to visit. In this paper, we study opinion mining applied on data from travel review sites. We also describe how the results of sentiment analysis of textual reviews can be visualized using Google Maps, providing possibilities for users to easily detect good hotels and good areas to stay in. More advanced features also provides for faceted and filtered visualization. An evaluation of the techniques presented, shows high accuracy in opinion mining, and that the prototype can help detect hotel features and possible reasons for changes in opinion as well as show "good" and "bad" geographical areas based on hotel reviews.
Extragenic suppression of motA missense mutations of Escherichia coli

The MotA and MotB proteins are thought to comprise elements of the stator component of the flagellar motor of Escherichia coli. In an effort to understand interactions among proteins within the motor, we attempted to identify extragenic suppressors of 31 dominant, plasmid-borne alleles of motA. Strains containing these mutations were either nonmotile or had severely impaired motility. Four of the mutants yielded extragenic suppressors mapping to the FlaII or FlaIIIB regions of the chromosome. Two types of suppression were observed. Suppression of one type (class I) probably results from increased expression of the chromosomal motB gene due to relief of polarity. Class I suppressors were partial deletions of Mu insertion sequences in the disrupted chromosomal motA gene. Class I suppression was mimicked by expressing the wild-type MotB protein from a second, compatible plasmid. Suppression of the other type (class II) was weaker, and it was not mimicked by overproduction of wild-type MotB protein. Class II suppressors were point mutations in the chromosomal motB or fliG genes. Among 14 independent class II suppressors characterized by DNA sequencing, we identified six different amino acid substitutions in MotB and one substitution in FliG. A number of the strongest class II suppressors had alterations of residues 136 to 138 of MotB. This particular region within the large, C-terminal periplasmic domain of MotB has previously not been associated with a specific function. We suggest that residues 136 to 138 of MotB may interact directly with the periplasmic face of MotA or help position the N-terminal membrane-spanning helix of MotB properly to interact with the membrane-spanning helices of the MotA proton channel.
An evolutionary clustering algorithm for gene expression microarray data analysis

Clustering is concerned with the discovery of interesting groupings of records in a database. Many algorithms have been developed to tackle clustering problems in a variety of application domains. In particular, some of them have been used in bioinformatics research to uncover inherent clusters in gene expression microarray data. In this paper, we show how some popular clustering algorithms have been used for this purpose. Based on experiments using simulated and real data, we also show that the performance of these algorithms can be further improved. For more effective clustering of gene expression microarray data, which is typically characterized by a lot of noise, we propose a novel evolutionary algorithm called evolutionary clustering (EvoCluster). EvoCluster encodes an entire cluster grouping in a chromosome so that each gene in the chromosome encodes one cluster. Based on such encoding scheme, it makes use of a set of reproduction operators to facilitate the exchange of grouping information between chromosomes. The fitness function that the EvoCluster adopts is able to differentiate between how relevant a feature value is in determining a particular cluster grouping. As such, instead of just local pairwise distances, it also takes into consideration how clusters are arranged globally. Unlike many popular clustering algorithms, EvoCluster does not require the number of clusters to be decided in advance. Also, patterns hidden in each cluster can be explicitly revealed and presented for easy interpretation even by casual users. For performance evaluation, we have tested EvoCluster using both simulated and real data. Experimental results show that it can be very effective and robust even in the presence of noise and missing values. Also, when correlating the gene expression microarray data with DNA sequences, we were able to uncover significant biological binding sites (both previously known and unknown) in each cluster discovered by EvoCluster.
When does a right-angled Artin group split over ℤ?

We show that a right-angled Artin group, defined by a graph $\Gamma$ that has at least three vertices, does not split over an infinite cyclic subgroup if and only if $\Gamma$ is biconnected. Further, we compute JSJ--decompositions of 1--ended right-angled Artin groups over infinite cyclic subgroups.
The state of the nation and its public service in contemporary South Africa

The article is an analysis of the state of the nation and its public service in contemporary South Africa. It demonstrates that the Zuma administration is much more responsive to citizen and interest group interests than the Mbeki presidency was. This is not only reflected in the cabinet appointments, but also in the character of public policy, including economic policy. However, ideological divisions within the ruling party and a failure to contain elite and popular expectations have also accompanied this responsiveness. This, in turn, has hindered a social pact from developing between labour, business and the State. The article also demonstrates that state capacity has been compromised by a coupling of Affirmative Action with conservative macro-economics and an infusion of a corporate ethic into the public service. It concludes that this problem will only be addressed with a more nuanced Affirmative Action policy, a reconfiguration of the public mandate of the civil service, a more expansive fiscal agenda centered on the citizenry and firm proactive action taken against corruption.
Announcement Effects and Seasonality in the Intra-day Foreign Exchange Market

This paper examines two aspects of spot FX volatility. Using intra-daily quotation data on the Deutsche Mark/Dollar we simultaneously estimate the deterministic intra-daily seasonal pattern inherent in volatility and the effects of US macroeconomic announcements. The empirical specification and estimation technique is based on the Stochastic Volatility methodology contained in Harvey, Ruiz and Shephard (1994). Results conform with previous work, in that ¶news¶ effects are strong and persistent, being felt for over one hour after the initial release time. Inclusion of an explicit seasonal is shown to be essential for the accurate estimation of other volatility components. Further estimations allow us to examine which particular pieces of US data move the markets. These result show that the most important statistics are those associated with the Employment and Mercantile Trade reports.
PAC-MFCC feature with sub-band classifier for robust speaker recognition

In this paper we propose the use of the PAC-MFCC (Phase Auto Correlation with Mel frequency of Cepstral Coefficients) feature with Sub-band Classifier for robust speaker recognition. Simulation results show that the proposed scheme outperforms other techniques of the literature for signals degraded by white, factory, babble and pink noise from the Noisex database.
Communication and Decision-Making by Central Bank Committees: Different Strategies, Same Effectiveness?

The paper assesses the communication strategies of the Federal Reserve, the Bank of England and the European Central Bank and their effectiveness. We find that the effectiveness of communication is not independent from the decisionmaking process in the committee. The paper shows that the Federal Reserve has been pursuing a rather individualistic communication strategy amid a collegial approach to decision-making, while the Bank of England is using a collegial communication strategy and highly individualistic decision-making. The ECB has chosen a collegial approach both in its communication and in its decisionmaking. Assessing these strategies, we find that predictability of policy decisions and the responsiveness of financial markets to communication are equally good for the Federal Reserve and the ECB. This suggests that there may not be a single best approach to designing a central bank communication and decisionmaking strategy. JEL Classification: E43, E52, E58, G12
Multiuser Authentication and Intruder Detection using Neural Computing

The objective of the paper is to mainly detect the Intruder activity in security systems and to authorize the correct person to make use of resources which is done using Artificial Neural Networks. Security is a broad topic and covers many issues. Malicious people trying to gain some benefit, attention, or to harm someone intentionally cause most security problems. An Intrusion Detection System detects attacks as soon as possible and takes appropriate action. ANN provides Multilevel, Multivariable security system, which can fulfill the strong requirement of security. Apart from providing security, ANN will have the capability to detect, if any intrusion happens.
Opioid receptors and their relevance to anaesthesia.

The therapeutic entities which have been derived from the constituents of opium, the dried exudate of the incised capsule of the opium poppy, have probably spawned more scientific publications than any other drug group. The observations that only the laevorotatory isomer of morphine, the active constituent of opium, was active and that most opioid analgesic drugs had similarities in structure, prompted Beckett and Casey to propose a tentative structure for an opioid receptor [4]. Since then our understanding of opioid pharmacology has progressed steadily with the notable highs of the discovery of the endogenous ligands to the opioid receptor [37] and the overwhelming evidence of multiple opioid receptors first noted by Martin and colleagues [56]. The anaesthetist uses morphine and its derivatives most commonly as analgesics for moderate to severe pain. With adjustment of dose and route of administration, opioids may perform this function with the minimum of side effects, which may range from the uncomfortable (itching, nausea and vomiting) to the life-threatening (respiratory depression). Chronic use of opioids may also lead to tolerance and physical dependence. It is worth re-emphasizing the theme which runs through most recent reviews of any aspect of opioid activity: "It was hoped that the development of opioid agonists selective for a particular opioid receptor subtype might separate the useful actions of opioids from the rest, and result in a therapeutic breakthrough. This breakthrough has not occurred! " What then, is the relevance of the subdivisions of opioid receptors to the anaesthetist?
Table 1. Modeling Algorithms Families, Data and Software Requirements, and Selected References (modified and Expanded from Elith and Burgman, 2003) Algorithm Family Species Data Environmental Data Software Availability and Needs (in Addition to a Standard Gis Software) Selected References

Deductive (habitat suitability indices) Research results and/or expert opinion Continuous and/or categorical None Scott et al. Hulls and kernels Presence NA Multiple ESRI addins that can be found at Environmental envelops (BIOCLIM, Mahalonobis distance) Presence Continuous Mahalonobis distances ArcView extension Gower-similarity (DOMAIN) Presence Continuous and/or categorical Wyoming Modeling Tool, eventually available as freeware through WYNDD