Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal net assignment

We study in this paper the net assignment problem subject to the capacity constraint, selection constraint and routing constraint. Given two adjacent channels separated by a cell row, and a set of nets in each of the two channels, this problem is to assign to the cell row a subset of nets in each channel such that without violating any given constraint, the sum of the remaining densities of the two channels is minimized. The capacity constraint requires the density caused by the nets, which are assigned to the cell row, to be no more than a user-specified number k, where k is no more than the number of tracks available for routing over that cell row. The selection constraint specifies in each channel the subset of nets which are candidates to be assigned to the cell row. The routing constraint requires each net to be either completely assigned to the cell row or to stay in its channel. This problem can find its application in modeling a practical over-the-cell routing problem in which the whole region over the cell row is two-layer routable for the nets in the two adjacent channels. We present an optimal algorithm to solve this problem and provide experimental results to support our algorithm. >
Distribution network: PV and PMSG ancillary services

The paper presents the study performed to evaluate the interactions between Distributed Generation and the network during voltage dips. In particular, international grid codes that require Distributed Generation to stay connected during network faults have been considered. In the study a PhotoVoltaic power system (PV) and a typical wind power system based upon a Permanent Magnet Synchronous Generator (PMSG) connected together to a Medium Voltage (MV) distribution network have been simulated. Fault Ride Through (FRT) requirements that provide the inverter should supply a controlled current over q-axis during a balanced voltage dip have been considered.
Characteristics of Innovation in Vietnamese Firms: An Exploratory Research

Normal 0 false false false MicrosoftInternetExplorer4 Based on previous literature on innovation at the firm level as well as literature on the business environment in developing countries and in Vietnam, this research proposes four propositions on characteristics of firm innovation in the country. Two Vietnamese firms, one of them operating in the software industry and the other operating in the electronic game industry were selected to find out their innovation characteristics. Within each case, a triangulation of data collection methods was employed including field observations, documents, and direct personal interviews. It was found that evidence collected from the two cases generally supported the proposed propositions. The research provides a number of important implications for the government and businesses in Vietnam. st1\:*{behavior:url(#ieooui) } /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:. 0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;}
A novel neuronal calcium sensor family protein, calaxin, is a potential Ca2+‐dependent regulator for the outer arm dynein of metazoan cilia and flagella

Background information. Spermatozoa show several changes in flagellar waveform, such as upon fertilization. Ca2+ has been shown to play critical roles in modulating the waveforms of sperm flagella. However, a Ca2+‐binding protein in sperm flagella that regulates axonemal dyneins has not been fully characterized.
What Investigations Are Ordered in Patients with First-episode Psychosis?

Psychiatrists are often left with the dilemma of which investigations to order in adolescents presenting with a first episode of psychosis. Blood work, urine studies, and neuroimaging studies were tracked in 13 adolescents admitted with a diagnosis of first-episode psychosis over a 13-month period to the Children’s Hospital of Eastern Ontario. Variation was found in the amount of investigation ordered: 85% of patients received a drug screen; 54% a CT scan; 8% an MRI; 92% a CBC with differential; 92% electrolytes. Abnormalities of CT scans were detected in 2 patients (29%); in neither case did the result lead to a diagnosis of brain-lesion-related psychosis, nor did it affect the clinical care of the patient. This study highlights the need to develop clinical practice-guidelines for the workup of first-episode psychosis in adolescents. First-episode psychosis has received considerable attention in both the pediatric and adult literature. One area of ongoing research is the degree to which children and adolescents require investigations to rule in or rule out non-psychiatric disease. According to the Diagnostic and Statistical Manual of Mental Disorders 4 Edition Text Revision (DSM-IV-TR), the diagnosis of schizophrenia and other psychotic illnesses require that criteria be met: where “the disturbance is not due to the direct physiological effects of a substance (e.g., of abuse or a medication) or a general medical condition”(1). Yet, in spite of these essential criteria, a standardized workup for first episode psychosis in children and youth is difficult to find. Psychiatry associations and textbooks differ in their recommendations and often leave the decision to perform a test at the discretion of the attending physician. A summary of different guidelines can be found in Table 1.
Microtubule Depolymerization by Kinase Inhibitors: Unexpected Findings of Dual Inhibitors

Microtubule-targeting agents are widely used as clinical drugs in the treatment of cancer. However, some kinase inhibitors can also disrupt microtubule organization by directly binding to tubulin. These unexpected effects may result in a plethora of harmful events and/or a misinterpretation of the experimental results. Thus, further studies are needed to understand these dual inhibitors. In this review, I discuss the roles of dual inhibitors of kinase activity and microtubule function as well as describe the properties underlining their dual roles. Since both kinase and microtubule inhibitors cause cell toxicity and cell cycle arrest, it is difficult to determine which inhibitor is responsible for each phenotype. A discrimination of cell cycle arrest at G0/G1 or G2/M and/or image analyses of cellular phenotype may eventually lead to new insights on drug duality. Because of the indispensable roles of microtubules in mitosis and vesicle transport, I propose a simple and easy method to identify microtubule depolymerizing compounds.
Competitive Strategies and Links with Environmental Dynamism and Hostility

Technology enterprises contribute significantly to raising national competitiveness, productivity and efficiency. Previous research indicates that a key part of a technology strategy is the interaction of that strategy with the venture's external environment. Exploratory, comparative and correlation and regression analysis were conducted to test hypothesized relationships. The sample was based on a previous conceptualization of early-stage technology enterprises (n = 165). No significant associations between strategies and the perceived environment were detected. The findings reveal that environmental dynamism and hostility affect the competitive strategic stance of only those firms that have been in existence for three to seven years and that have more than 50 employees.
Response of Crime to Unemployment

This article studies crime rates’ response to economic conditions. Using a longitudinal data set covering about 20 countries over the period 1970-2010, we investigate whether crime rates respond asymmetrically to increases in unemployment and recoveries in economic conditions. We find a positive response of crime rates on variation in unemployment rates, but we do not find compelling evidence of asymmetric responses to positive and negative variations in the economic cycle.
A Survey on Spam Detection in Twitter

Social Networking sites have become popular in recent years, among these sites Twitter is one of the fastest growing site. It plays a dual role of Online Social Networking (OSN) and Micro Blogging. Spammers invade twitter trending topics (popular topics discussed by Twitter user) to pollute the useful content. Social spamming is more successful compared to email spamming by using social relationship between the users. Spam detection is important because Twitter is mainly used for commercial advertisement and spammers invade the privacy information of the user and also the reputation of the user is damaged. Spammers can be detected using content and user based attributes. Traditional classifiers are required for spam detection. The contribution of this work is bifold, first to detect spam content in Twitter and preventing it being displayed. Second is to design a new classifier to detect spammers with accuracy.
Exploiting Knowledge Flows: Openness and the innovative performance of Business Services

Innovation requires a capacity to seek, absorb and utilize external knowledge, and an ability to develop, leverage or exchange internally-generated knowledge. Internally, it requires the structuring of information channels within and across hierarchical or divisional levels. Externally, it implies choices and costs in selecting and managing interactions and collaborations. Based on an original survey of open innovation practices amongst UK firms, this paper addresses this gap by exploring the impact of external and internal openness, the role of formal vs. informal knowledge sourcing practices (and their interaction), on the innovative performance of business services. Not only external but also internal openness positively affect the innovative performance of firm. Among different types of knowledge exchange mechanisms, informal practices are especially effective. On the contrary, joint engagement in formal and informal practices appears to decrease the firm’s share of innovative sales, a possible indica.
iTRAQ compatibility of peptide immobilized pH gradient isoelectric focusing

Immobilized pH gradient isoelectric focusing (IPG‐IEF) has emerged as a highly promising alternative to strong‐cation exchange fractionation as the first dimension in shot‐gun proteomics. Herein is shown the compatibility of this method with iTRAQ isotope labeling for relative quantitation and validation of sequence matches from database searching.
A complex gene superfamily encodes actin in petunia.

We have shown by several independent criteria that actin is encoded by a very large and complex superfamily of genes in Petunia. Several cDNA and genomic probes encoding actins from diverse organisms (Dictyostelium, Drosophila, chicken and soybean) hybridize to hundreds of restriction fragments in the petunia genome. Actin‐hybridizing sequences were isolated from a petunia genomic library at a rate of at least 200 per genome equivalent. Twenty randomly selected actin‐hybridizing clones were characterized in more detail. DNA sequence data from four representative and highly divergent clones, PAc2, PAc3, PAc4 and PAc7, demonstrate that these actin‐like sequences are related to functional actin genes. Intron positions typical of other known plant actin genes are conserved in these clones. Four of six clones analyzed (PAc1, PAc2, PAc3, PAc4) hybridize to leaf mRNA of the same size (1.7 kb) as that reported for other plant actin mRNAs and to a slightly smaller mRNA species (1.5 kb). Five distinct subfamilies of actin‐related genes were characterized which varied in size from a few members to several dozen members. It is clear from our data that other actin gene subfamilies must also exist within the genome. Possible mechanisms of actin gene amplification and genome turnover are discussed.
Proposed a new Algorithm for real-time applications in Routing of Wireless Sensor Networks

Many wireless sensor network applications must resolve the inherent conflict between energy efficient communication and the need to achieve desired quality of service such as end-to-end communication delay. To address this challenge, we propose a new protocol which tries to resolve the finding a trade off between lifetime of the network and real-timeness based on application. In the proposed protocol, at first, network graph constructed under effect of two coefficients. Each of these coefficients represents the importance of real-timeness or lifetime of the network. If one coefficient increased the other one will be decreased consequently. Moreover, for improving real-timeness we use EDF policy in each node to reduce miss ratio of packets. In the best condition of real-timeness of the network, the proposed protocol has been compared with the famous protocols for WSN which are classified under real-time protocols. The simulation results suggest remarkable improvement for the proposed protocol in comparison with other existing protocols. Keywords-Real-time; Life time; Power Consumption; Bellman-Ford algorithm; Wireless Sensor Networks; I. I NTRODUCTION
Aspects of a computer-based patient record.

Some people may be laughing when looking at you reading in your spare time. Some may be admired of you. And some may want be like you who have reading hobby. What about your own feel? Have you felt right? Reading is a need and a hobby at once. This condition is the on that will make you feel that you must read. If you know are looking for the book enPDFd aspects of the computer based patient record as the choice of reading, you can find here.
Contemporaneous-Threshold Smooth Transition GARCH Models

This paper proposes a contemporaneous-threshold smooth transition GARCH (or C-STGARCH) model for dynamic conditional heteroskedasticity. The C-STGARCH model is a generalization to second conditional moments of the contemporaneous smooth transition threshold autoregressive model of Dueker et al. (2007) in which the regime weights depend on the ex ante probability that a contemporaneous latent regime-specific variable exceeds a threshold value. A key feature of the C-STGARCH model is that its transition function depends on all the parameters of the model as well as on the data. The structural properties of the model are investigated, in addition to the finite-sample properties of the maximum likelihood estimator of its parameters. An application to U.S. stock returns illustrates the practical usefulness of the C-STGARCH model.
Effects of cognitive behavioral stress management on HIV-1 RNA, CD4 cell counts and psychosocial parameters of HIV-infected persons

Objective:To determine the effects of cognitive–behavioral stress management (CBSM) training on clinical and psychosocial markers in HIV-infected persons. Methods:A randomized controlled trial in four HIV outpatient clinics of 104 HIV-infected persons taking combination antiretroviral therapy (cART), measuring HIV-1 surrogate markers, adherence to therapy and well-being 12 months after 12 group sessions of 2 h CBSM training. Results:Intent-to-treat analyses showed no effects on HIV-1 surrogate markers in the CBSM group compared with the control group: HIV-1 RNA < 50 copies/ml in 81.1% [95% confidence interval (CI), 68.0–90.6] and 74.5% (95% CI, 60.4–85.7), respectively (P = 0.34), and mean CD4 cell change from baseline of 53.0 cells/μl (95% CI, 4.1–101.8) and 15.5 cells/μl (95% CI, −34.3 to 65.4), respectively (P = 0.29). Self-reported adherence to therapy did not differ between groups at baseline (P = 0.53) or at 12 month's post-intervention (P = 0.47). Significant benefits of CBSM over no intervention were observed in mean change of quality of life scores: physical health 2.9 (95% CI, 0.7–5.1) and −0.2 (95% CI, −2.1 to 1.8), respectively (P = 0.05); mental health 4.8 (95% CI, 1.8–7.3) and −0.5 (95% CI, −3.3 to 2.2) (P = 0.02); anxiety −2.1 (95% CI, −3.6 to −1.0) and 0.3 (95% CI, −0.7 to 1.4), respectively (P = 0.002); and depression −2.1 (95% CI, −3.2 to −0.9) and 0.02 (95% CI, −1.0 to 1.1), respectively (P = 0.001). Alleviation of depression and anxiety symptoms were most pronounced among participants with high psychological distress at baseline. Conclusion:CBSM training of HIV-infected persons taking on cART does not improve clinical outcome but has lasting effects on quality of life and psychological well-being.
A Good Compromise: Rapid and Robust Species Proxies for Inventorying Biodiversity Hotspots Using the Terebridae (Gastropoda: Conoidea)

Devising a reproducible approach for species delimitation of hyperdiverse groups is an ongoing challenge in evolutionary biology. Speciation processes combine modes of passive and adaptive trait divergence requiring an integrative taxonomy approach to accurately generate robust species hypotheses. However, in light of the rapid decline of diversity on Earth, complete integrative approaches may not be practical in certain species-rich environments. As an alternative, we applied a two-step strategy combining ABGD (Automated Barcode Gap Discovery) and Klee diagrams, to balance speed and accuracy in producing primary species hypotheses (PSHs). Specifically, an ABGD/Klee approach was used for species delimitation in the Terebridae, a neurotoxin-producing marine snail family included in the Conoidea. Delimitation of species boundaries is problematic in the Conoidea, as traditional taxonomic approaches are hampered by the high levels of variation, convergence and morphological plasticity of shell characters. We used ABGD to analyze gaps in the distribution of pairwise distances of 454 COI sequences attributed to 87 morphospecies and obtained 98 to 125 Primary Species Hypotheses (PSHs). The PSH partitions were subsequently visualized as a Klee diagram color map, allowing easy detection of the incongruences that were further evaluated individually with two other species delimitation models, General Mixed Yule Coalescent (GMYC) and Poisson Tree Processes (PTP). GMYC and PTP results confirmed the presence of 17 putative cryptic terebrid species in our dataset. The consensus of GMYC, PTP, and ABGD/Klee findings suggest the combination of ABGD and Klee diagrams is an effective approach for rapidly proposing primary species proxies in hyperdiverse groups and a reliable first step for macroscopic biodiversity assessment.
Statistics of shadowing in indoor radio channels at 900 and 1900 MHz

The authors describe measurements which were performed to characterize shadowing in indoor radio environments. They investigated the suitability of the log-normal shadowing model for indoor mobile and portable radio channels and determined how the parameters of the log-normal shadowing model are dependent on frequency and topography. They show that the correlation coefficient can be completely independent of wavelength over a frequency octave; however, it is highly dependent on the specific topography of the building. Furthermore, they discuss mechanisms for shadowing which explain why the shadowing component is nearly identical for two frequencies in one environment, while in other environments, the shadowing components at two frequencies are virtually independent. <<ETX>>
Evaluation of an infrared laser-Doppler blood flowmeter.

Several laser-Doppler blood flowmeters are now commercially available; however, only one utilizes an infrared laser diode (Laserflo, TSI, St. Paul, MN). Because of this and other unique features such as its microprocessor-based signal analyzer, we evaluated this device's ability to measure tissue perfusion. Initially, we determined whether laser illumination directly affected the microvasculature. Intravital microscopic observations in the hamster cremaster muscle indicated that neither He-Ne nor infrared laser light affected the diameters of arterioles that were responsive to vasoactive agents. To test the flowmeter for linearity and repeatability, we used a rotating disk to simulate a light-scattering, flowing medium. The "flow" signal was highly correlated (r = 0.99) with the rotational velocity of the disk, was consistent among flow probes, and showed a high degree of reproducibility. The second model consisted of microsphere suspensions pumped through cuvettes. The laser-Doppler velocimeter (LDV) flow signal was linear with respect to pump output. With red blood cells in the perfusate, we examined the effects of blood oxygenation on the flowmeter's performance. The LDV flow signal was unaffected by changes in blood oxygenation. We evaluated linearity in vivo in isolated, perfused rat livers and in isolated canine gastric flaps. We observed linear relationships between total flow and laser-Doppler flow measured on the surface of the liver (r = 0.98) and in the gastric mucosa (r = 0.98), but the slopes of the relationships between total and local LDV flow showed considerable variability not noted in the in vitro studies. (ABSTRACT TRUNCATED AT 250 WORDS)
Healthcare Analytics: Creating a Prioritized Improvement System with Performance Benchmarking

The importance of healthcare improvement is difficult to overstate. This article describes our collaborative work with experts at Seattle Children's to create a prioritized improvement system using performance benchmarking. We applied analytics and modeling approaches to compare and assess performance metrics derived from U.S. News and World Report benchmarking data. We then compared a wide range of departmental performance metrics, including patient outcomes, structural and process metrics, survival rates, clinical practices, and subspecialist quality. By applying empirically simulated transformations and imputation methods, we built a predictive model that achieves departments' average rank correlation of 0.98 and average score correlation of 0.99. The results are then translated into prioritized departmental and enterprise-wide improvements, following a data to knowledge to outcomes paradigm. These approaches, which translate data into sustainable outcomes, are essential to solving a wide array of healthcare issues, improving patient care, and reducing costs.
Fully automated analysis of space-based lidar data: an overview of the CALIPSO retrieval algorithms and data products

The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite will be launched in April of 2005, and will make continuous measurements of the Earth's atmosphere for the following three years. Retrieving the spatial and optical properties of clouds and aerosols from the CALIPSO lidar backscatter data will be confronted by a number of difficulties that are not faced in the analysis of ground-based data. Among these are the very large distance from the target, the high speed at which the satellite traverses the ground track, and the ensuing low signal-to-noise ratios that result from the mass and power restrictions imposed on space-based platforms. In this work we describe an integrated analysis scheme that employs a nested, multi-grid averaging technique designed to optimize tradeoffs between spatial resolution and signal-to-noise ratio. We present an overview of the three fundamental retrieval algorithms (boundary location, feature classification, and optical properties analysis), and illustrate their interconnections using data product examples that include feature top and base altitudes, feature type (i.e., cloud or aerosol), and layer optical depths.