Miracle-dz/UniFAR-FTUs huggingface dataset:
The Resource Configuration Method with Lower Energy Consumption Based on Prediction in Cloud Data Center

The cloud computing data center have numerous hosts as well as application requests. In future, the short response time and user Qos are required, and the lower electricity power consumption to build the low-carbon green network is an irrevocable trend. The paper first puts forward a reconfiguration framework based on the request prediction of Double Exponential Smoothing, On the basis, work out in advance the allocation scheme which can improve the resource utilization ratio as well as lower energy consumption. The paper also present a concept of Utility Ratio Matrix (URM) to represent allocations of hosts and Virtual Machines (VMs) and a reconfiguration algorithm. The algorithm can separate the reconfiguration computing from the real allocation so that it can avoid a time delay, and can also reduce the energy consumption in data center. The corresponding analysis and experimental results show the feasibility of the reconfiguration algorithm in this paper.
Underwriter Compensation and the Returns to Reputation *

Underwriter reputation and compensation are both topics that have received considerable attention but the question of whether underwriter fee structures provide adequate incentives for investment banks to build and maintain their reputation remains unresolved. We examine this question for equity underwriting and find that underwriters with higher reputations earn significantly higher underwriting revenues. For example, underwriters with the highest CarterManaster (CM) reputation ranking of 9 receive around $10 million per IPO, on average, whereas underwriters with rankings below 9 receive around $3 million. When we control for differences in characteristics of issues underwritten by banks of different reputations while also accounting for endogenous matching between issuers and underwriters, we find that CM9 underwriters earn a premium of $2.6 ($2.0) million per IPO (SEO). When spreads are measured as a percentage of proceeds, CM9 IPO underwriters receive a reputational premium of 1.79 to 3.21 percentage points from an average IPO spread of 6.71% while a third of the 4.28% spread that CM9 SEO underwriters receive, on average, is attributable to their higher reputation. Overall, our findings show that a significant premium to reputation is evident for different measures of underwriter reputation and model specifications, and provide compelling evidence of statistically and economically significant returns to reputation building in equity underwriting.
Risk Communication and Market Effects during Foodborne Illnesses: A Comparative Case Study of Bacterial Outbreaks in the U.S. and in Germany

The study analyzes two cases of E. coli outbreaks related to fresh produce, in the U.S. in 2006, and in Germany in 2011. The case analysis built on previous research how media coverage of foodborne illnesses influenced consumers’ risk perception. Reports by national newspapers and other targeted media, and official press releases and reports were compared. Market data and consumer purchasing behavior before and after the outbreak were analyzed for vegetables involved. Results show that media coverage and releases by governmental authorities affected consumer purchasing behavior in both cases. Furthermore, consumers seem to trust official advisories, in both countries.
Facilitated diffusion of myoglobin and creatine kinase and reaction–diffusion constraints of aerobic metabolism under steady‐state conditions in skeletal muscle

The roles of creatine kinase (CK) and myoglobin (Mb) on steady‐state facilitated diffusion and temporal buffering of ATP and oxygen, respectively, are assessed within the context of a reaction–diffusion model of muscle energetics. Comparison of the reaction–diffusion model with experimental data from a wide range of muscle fibers shows that the experimentally observed skeletal muscle fibers are generally not limited by diffusion, and the model further indicates that while some muscle fibers operate near the edge of diffusion limitation, no detectable effects of Mb and CK on the effectiveness factor, a measure of diffusion constraints, are observed under steady‐state conditions. However, CK had a significant effect on average ATP concentration over a wide range of rates and length scales within the reaction limited regime. The facilitated diffusion functions of Mb and CK become observable in the model for larger size cells with low mitochondrial volume fraction and for low boundary O2 concentration and high ATP demand, where the fibers may be limited by diffusion. From the transient analysis it may be concluded that CK primarily functions to temporally buffer ATP as opposed to facilitating diffusion while Mb has a small temporal buffering effect on oxygen but does not play any significant role in steady‐state facilitated diffusion in skeletal muscle fibers under most physiologically relevant regions. Biotechnol. Bioeng. 2012; 109:545–558. © 2011 Wiley Periodicals, Inc.
Software configuration management for the 21st century

The increasing complexity of both software systems and the environments in which they are produced is pressuring projects to improve the development process using innovative methods. The role of software configuration management (SCM) systems, policies, and procedures that help control and manage software development environments is being stretched beyond the conceptual boundaries it has had for the last decade. One of the key enablers of producing higher quality software is a better software development process. The SCM system must instantiate a quality process, allow tracking and monitoring of process metrics, and provide mechanisms for tailoring and continual improvement of the software development process. More than a dozen SCM systems are now available, each one having a distinct architecture and set of core functionalities. Currently, no single system provides all the key SCM functions in the best form. Thus, a project must assess its real needs and choose the right SCM system to meet its software development challenges. This paper focuses on the characteristics of SCM systems, the SCM challenges for Lucent Technologies, the principal SCM systems being used within the company, and the issues of choosing and successfully implementing the best SCM systems.
Impact of residual plaque burden on clinical outcomes of coronary interventions

In this study, we summarize the role of residual plaque burden, as determined by intravascular ultrasound, on the development of restenosis following percutaneus coronary interventions. Several clinical trials have shown that the amount of residual plaque is a consistent and independent predictor of subsequent restenosis. The impact of residual plaque burden on late lumen loss is particularly augmented by negative vessel remodeling that is commonly seen after balloon angioplasty and atherectomy. However, early evidence suggests that the importance of plaque burden also applies in the context of stenting. The cotreatment of debulking may further improve the long‐term outcome of stenting by maximizing an acute lumen gain with less vessel stretching, preventing stent edge problems and possibly reducing the cell source involved in the intimal hyperplastic process. Evaluation of residual plaque burden with on‐line intravascular ultrasound could lead to definitive therapies via risk stratification of the treated segments. Cathet. Cardiovasc. Intervent. 46:265–276, 1999. © 1999 Wiley‐Liss, Inc.
Short‐term haemodynamic variability in the conscious areflexic rat

1 Similtaneous measurements of arterial pressure and cardiac output (n= 8), mesenteric blood flow (n= 7) or hindquarters (n= 8) blood flow were performed during 1 h periods in conscious rats, before and after acute pharmacological blockade of the autonomic, renin‐angiotensin and vasopressin systems. In the latter condition (areflexic state), arterial pressure was maintained with a continuous infusion of noradrenaline. 2 In the areflexic state, spontaneous fluctuations in arterial pressure were markedly exaggerated, especially depressor episodes. At the onset of these falls in arterial pressure, there was an abrupt and transient decrease in stroke volume and cardiac output. Systemic vasodilatation then developed while cardiac output returned to normal. Regional vasodilatations were also delayed from the onset of the falls in arterial pressure and were usually large enough to maintain blood flow. 3 Both time and frequency domain analyses confirmed that changes in systemic and regional vascular conductances lagged by about 1 s behind arterial pressure changes. 4 These results indicate that, in the absence of neurohumoral influences, autoregulatory‐like mechanisms become dominant in the control of systemic and regional circulations and contribute to exaggeration of the spontaneous short‐term variability of arterial pressure.
Cadmium and Lead Alter the Antioxidant and Osmoregulation Systems in the Erythrocyte of Fish ( Oreochromis niloticus )

The erythrocytes deliver oxygen to all around body cells that make them extremely vital for the metabolism. Metals are transferred through the blood, meaning the erythrocytes face with metals continuously. The present study intended to explore the responses of osmoregulation (Na/K-ATPase, Mg-ATPase, Ca-ATPase) and antioxidant system parameters (CAT, SOD, GPX, GR, GST, tGSH, rGSH, GSSG, GSH/GSSG) in the erythrocytes of the Nile tilapia (Oreochromis niloticus) following acute (20 μM, 2 d) and sub-chronic (10 μM, 20 d) Cd and Pb exposures. ATPases were more sensitive compared to the antioxidant system parameters. All ATPase activities increased significantly in acute and sub-chronic metal exposures. Variations in antioxidant system parameters were recorded with metal and duration differences, Pb causing more alterations. GSH metabolism was mostly altered, especially after sub-chronic Pb exposure, though CAT and GPX activities decreased. Acute Pb exposure also caused a decrease in GPX activity and an increase in GST activity. There were differences in GSH/GSSG ratios between acute and sub-chronic Pb exposures. Cd caused few alterations in the antioxidant system parameters (GSSG and GSH/GSSG ratio decrease and GST increase). The present study demonstrated that the osmoregulation and antioxidant systems of the erythrocyte are sensitive to metal exposures and may provide useful data about the stress fish face.
Salvage temozolomide for prior temozolomide responders

Temozolomide (TMZ) often is used as adjuvant or first‐line therapy for patients with glioma. Because of potential hematologic complications, it usually is discontinued after 12–18 cycles, even in responders. Subsequent salvage therapies are reported to have limited efficacy at the time of disease recurrence. In the current study, the authors assessed the outcome and complications of reusing TMZ at the time of disease recurrence in patients who previously responded to treatment.
A Spatio‐Temporal Graph Model for Marine Dune Dynamics Analysis and Representation

Defining a model for the representation and the analysis of spatio‐temporal dynamics remains an open domain in geographical information sciences. In this article we investigate a spatio‐temporal graph‐based model dedicated to managing and extracting sets of geographical entities related in space and time. The approach is based on spatial and temporal local relations between neighboring entities during consecutive times. The model allows us to extract sets of connected entities distant in time and space over long periods and large spaces. From GIS concepts and qualitative reasoning on space and time, we combine the graph model with a dedicated spatial database. It includes information on geometry and geomorphometric parameters, and on spatial and temporal relations. This allows us to extend classical measurements of spatial parameters, with comparisons of entities linked by complex relations in space and time. As a case study, we show how the model suggests an efficient representation of dunes dynamics on a nautical chart for safe navigation.
A New Energy Efficient VM Scheduling Algorithm for Cloud Computing Based on Dynamic Programming

As a new computing paradigm, cloud computing has significantly contributed to the rapid development of massive data centers. However, the corresponding energy issue becomes increasingly challenging. In this paper, we focus on the energy saving issue for virtual machine (VM) selections on an overloaded host in a cloud computing environment. We analyze the energy influencing factors during a VM migration, then design energy efficient VM selection algorithms based on greedy algorithm and dynamic programming method. We conduct experiments with CloudSim and results show that the proposed algorithm in this paper can effectively reduce energy consumption while satisfying the SLA constraints.
SEMI-SUPERVISED PRODUCT SPECIFICATIONS EXTRACTION FROM THE WEB

This paper introduces an approach that utilizes the inductive semi-supervised learning strategy – self-training model for extracting property-value pairs from a collection of Web pages. The proposed work employs a novel concept of short properties and values for learning high confidence property-value pair seeds. The seeds are then used to discover repetitive HTML formatting patterns and consequently, using these patterns as the wrappers to extract the rest of the property-value pairs that the Web page contains. The experimentations on the collection of Web pages, drawn from over one hundred diverse, real life electronic goods retailer Web sites, show promising results.
Career Mapping for Professional Development and Succession Planning

Career mapping facilitates professional development of nurses by education specialists and nurse managers. On the basis of national Nursing Professional Development Scope and Standards, our education and professional development framework supports the organization's professional practice model and provides a foundation for the professional career map. This article describes development, implementation, and evaluation of the professional career map for nurses at a large children's hospital to support achievement of the nursing strategic goals for succession planning and professional development.
Manipulation of Arabidopsis fatty acid amide hydrolase expression modifies plant growth and sensitivity to N-acylethanolamines

In vertebrates, the endocannabinoid signaling pathway is an important lipid regulatory pathway that modulates a variety of physiological and behavioral processes. N-Acylethanolamines (NAEs) comprise a group of fatty acid derivatives that function within this pathway, and their signaling activity is terminated by an enzyme called fatty acid amide hydrolase (FAAH), which hydrolyzes NAEs to ethanolamine and their corresponding free fatty acids. Bioinformatic approaches led to the identification of plant homologues of FAAH that are capable of hydrolyzing NAEs in vitro. To better understand the role of NAEs in plants, we identified T-DNA knockouts to Arabidopsis FAAH (AtFAAH; At5g64440) and generated plants overexpressing AtFAAH. Here we show that seeds of AtFAAH knockouts had elevated levels of endogenous NAEs, and seedling growth was hypersensitive to exogenously applied NAE. On the other hand, seeds and seedlings of AtFAAH overexpressors had lower endogenous NAE content, and seedlings were less sensitive to exogenous NAE. Moreover, AtFAAH overexpressors displayed enhanced seedling growth and increased cell size. AtFAAH expression and FAAH catalytic activity increased during seed germination and seedling growth, consistent with the timing of NAE depletion during seedling establishment. Collectively, our results show that AtFAAH is one, but not the only, modulator of endogenous NAE levels in plants, and that NAE depletion likely participates in the regulation of plant growth.
Genetic Features of the Widespread Plasmid Coding for the Carbapenemase OXA-48

ABSTRACT Complete sequencing of plasmid pOXA-48a carrying the blaOXA-48 gene from a Klebsiella pneumoniae isolate was performed. Its backbone corresponded to that of an IncL/M-type plasmid, in which the blaOXA-48 gene had been integrated through the acquisition of the Tn1999 composite transposon without any other antibiotic resistance gene. Molecular epidemiology using a collection of international OXA-48 producers revealed the wide diffusion of pOXA-48a or closely related plasmids.
MM-wave to THz vacuum electron beam devices

MM-wave to THz vacuum electron beam device (VED) technology has substantial potential to bridge the socalled “THz gap” for high impact applications including nonintrusive detection of contraband items/explosives, >; 10 Gbit/s wireless advanced communication systems, medical imaging/diagnostics, and all weather visibility for civil aviation safety to name a few. Recent progress on the development of MM-wave-THz coherent source technology with adequate power, bandwidth, and efficiency in a compact mobile package is briefly reviewed. Two enabling technologies: high current emission density scandate cathodes and novel micro/nano-fabrication schemes are also highlighted. In this context, the UCD efforts on the development of a 0.22 THz Sheet Beam Traveling Wave Tube Amplifier (SBTWTA) are also summarized.
Ontology Enrichment based on Generic Basis of Association Rules for Conceptual Document Indexing

In this paper, we propose the use of a minimal generic basis of association rules (ARs) between terms, in order to automatically enrich an initial domain ontology. For this purpose, three distance measures are defined to link the candidate terms identified by ARs, to the initial concepts in the ontology. The final result is a proxemic conceptual network which contains additional implicit knowledge. Therefore, to evaluate our ontology enrichment approach, we propose a novel document indexing approach based on this proxemic network. The experiments carried out on the OHSUMED document collection of the TREC 9 filtring track and MeSH ontology showed that our conceptual indexing approach could considerably enhance information retrieval
Hybrid immune genetic algorithm approach for short-term unit commitment problem

This paper presents a hybrid immune algorithm (IA)/genetic algorithm (GA) and fuzzy system (FS) method (IGAFS) for solving short-term thermal generating unit commitment (UC) problems. The UC problem involves determining the start-up and shutdown schedules for generating units to meet the forecasted demand at the minimum cost. The commitment schedule must satisfy other constraints such as the generating limits per unit, reserve and individual units. First, we combined the IA and GA, then we added the fuzzy system approach. This hybrid system was used to solve the UC problems. Numerical simulations were carried out using three cases; ten, twenty and thirty thermal unit power systems over a 24 hrs period. The produced schedule was compared with several other methods, such as dynamic programming (DP), Lagrangian relaxation (LR), standard genetic algorithm (SGA), traditional simulated annealing (TSA), and traditional tabu search (TTS). The result demonstrated the accuracy of the proposed CIGAFS approach.
Thermal and Structural Changes of Photosynthetic Reaction Centers Characterized by Photoacoustic Detection with a Broad Frequency Band Hydrophone¶

Abstract Photoacoustic measurements using a broad frequency band hydrophone were carried out in photosynthetic reaction centers (RC) isolated from Rhodobacter sphaeroides R-26 purple bacteria. Data were extracted on enthalpy and volume changes accompanying the primary steps after excitation in the range of 0–500 μs aimed at further characterizing the thermodynamic properties of the RC. Quinone titration showed that the volume contraction accompanying the electron transport is sensitive to the molecular species occupying the secondary quinone site. ΔVM = 14.4, 7.7 and 4.3 cm3 molar volume contractions were calculated from the measured parameters for 1, 2 and 0.07 quinone/RC after light excitation. Comparing the enthalpy changes (ΔH) to the Gibbs free energy data in the literature, a rather large (26%) entropic contribution to the free energy changes (ΔG) is estimated for the P*QAQB → P+QA−QB electron transport (where QA and QB represent primary and secondary quinones, respectively). This is in contrast to previous estimations that ΔG = ΔH in these processes. On the other hand, only a small (4%) entropic contribution to the ΔG of the P*QAQB → P+QAQB− process is estimated, in agreement with the literature data. Our results are in good agreement with the data obtained earlier (Edens et al. [2000] J. Am. Chem. Soc. 122, 1479–1485).
A Shape Reconstruction and Measurement Method for Spherical Hedges Using Binocular Vision

The center coordinate and radius of the spherical hedges are the basic phenotypic features for automatic pruning. A binocular vision-based shape reconstruction and measurement system for front-end vision information gaining are built in this paper. Parallel binocular cameras are used as the detectors. The 2D coordinate sequence of target spherical hedges is obtained by region segmentation and object extraction process. Then, a stereo correcting algorithm is conducted to keep two cameras to be parallel. Also, an improved semi-global block matching (SGBM) algorithm is studied to get a disparity map. According to the disparity map and parallel structure of the binocular vision system, the 3D point cloud of the target is obtained. Based on this, the center coordinate and radius of the spherical hedges can be measured. Laboratory and outdoor tests on shape reconstruction and measurement are conducted. In the detection range of 2,000–2,600 mm, laboratory test shows that the average error and average relative error of standard spherical hedges radius are 1.58 mm and 0.53%, respectively; the average location deviation of the center coordinate of spherical hedges is 15.92 mm. The outdoor test shows that the average error and average relative error of spherical hedges radius by the proposed system are 4.02 mm and 0.44%, respectively; the average location deviation of the center coordinate of spherical hedges is 18.29 mm. This study provides important technical support for phenotypic feature detection in the study of automatic trimming.