Miracle-dz/UniFAR-FTUs huggingface dataset:
Population Pharmacokinetics of Isavuconazole in Subjects with Mild or Moderate Hepatic Impairment

ABSTRACT Isavuconazole, administered as the prodrug isavuconazonium sulfate, was recently approved by the U.S. Food and Drug Administration and the European Medicines Agency for the treatment of adults with invasive aspergillosis and mucormycosis. The objective of this analysis was to develop a population pharmacokinetic model using NONMEM (version 7.2) for subjects with hepatic impairment, using intravenous and oral administration data from two hepatic studies, and to simulate concentration profiles to steady state, thus evaluating the need for dose adjustment. A two-compartment model with Weibull absorption function and first-order elimination process adequately described plasma isavuconazole concentrations. The population mean clearance in healthy subjects was 2.5 liters/h (5th and 95th percentiles: 2.0 and 3.1). The mean clearance values for subjects with mild and moderate hepatic impairment decreased approximately to 1.55 liters/h (5th and 95th percentiles: 1.3 and 1.8 liters/h) and 1.32 liters/h (5th and 95th percentiles: 1.05 and 1.35), respectively. Peripheral volume of distribution increased with body mass index. Simulations of mean concentration time profiles to steady state showed less than a 2-fold increase in mean trough concentrations for subjects with mild and moderate hepatic impairment compared with healthy subjects. After administration of the single dose, safety data for subjects with mild and moderate hepatic impairment were generally comparable to those for healthy subjects in both studies. Due to the <2-fold increase in trough concentrations and the established safety margin, dose adjustment appears to be unnecessary in subjects with mild or moderate hepatic impairment.
Variables that influence stakeholder satisfaction with the creation of corporate images of Thailand’s National Housing Authority

ABSTRACT The project output will assist with the strategic planning and determination of communication tactics, coupled with public relations, to establish a good corporate image under fluctuating global circumstances. Questionnaires and non-experimental, in-depth interviews were used for both quantitative and qualitative research, respectively. The main objective of this study is to explore stakeholder attitudes and satisfaction with the creation of corporate images by Thailand’s National Housing Authority (NHA). The investigation of NHA stakeholders’ attitudes and comments toward the building of this government entity’s corporate image strategy led to sustainable developments within the NHA by determining concepts and research methods, crafting a research plan, and identifying the characteristics of the target group. This study includes other sections related to measuring the attitude index, data collection and analysis, comparisons and interpretations of the target group and stakeholder perspectives. The target population is comprised of: Residents in 68 communities under the governance of NHA and Thai citizens, executive directors of the Ministry of Social Development and Human Security (MSDHS), board committee, executive directors, and general staff, companies, the private sector, entrepreneurs, and building contractors, public relations staff. Overall, 30 categories of stakeholders were interviewed. Secondary information, such as project documents, was collected and utilized for action planning, which reflects stakeholder opinions towards the NHA. The survey sample size of stakeholders was limited to 400 people from 12 districts, comprising 31,844 households under the 68 NHA projects in Bangkok.
Security of IoT systems: Design challenges and opportunities

Computer-aided design (CAD), in its quest to facilitate new design revolutions, is again on the brink of changing its scope. Following both historical and recent technological and application trends, one can identify several emerging research and development directions in which CAD approaches and techniques may have major impacts. Among them, due to the potential to fundamentally alter everyday life as well as how science and engineering systems are designed and operated, the Internet of Things (IoT) stands out. IoT also poses an extraordinary system replete with conceptual and technical challenges. For instance, greatly reduced quantitative bounds on acceptable area and energy metrics require qualitative breakthroughs in design and optimization techniques. Most likely the most demanding of requirements for the widespread realization of many IoT visions is security. IoT security has an exceptionally wide scope in at least four dimensions. In terms of security scope it includes rarely addressed tasks such as trusted sensing, computation, communication, privacy, and digital forgetting. It also asks for new and better techniques for the protection of hardware, software, and data that considers the possibility of physical access to IoT devices. Sensors and actuators are common components of IoT devices and pose several unique security challenges including the integrity of physical signals and actuating events. Finally, during processing of collected data, one can envision many semantic attacks. Our strategic objective is to provide an impetus for the development of IoT CAD security techniques. We start by presenting a brief survey of IoT challenges and opportunities with an emphasis on security issues. Next, we discuss the potential of hardware-based IoT security approaches. Finally, we conclude with several case studies that advocate the use of stable PUFs and digital PPUFs for several IoT security protocols.
Transaction Management in Homogenous Distributed Real-Time Replicated Database Systems

A homogenous distributed real time replicated database system is a network of two or more DBMS that reside on one or more machines. A distributed system that connects two or more databases are Homogenous Distributed Database Systems (HDDBS) create different problems when accessing distributed and replicated databases. Particularly, access control and transaction management in HDDBS require different mechanism to monitor data retrieval and update to databases. Current trends in multi-tier client/server networks make DDBS an appropriated solution to provide access to and control over localized databases. This paper highlights the basic concepts underlying distributed database system including transaction management in in HDRTDBS. Distributed database systems (DDBS) create different problems when accessing distributed and replicated databases. Particularly, access control and transaction management in DDBS require different mechanism to monitor data. Retrieval and update to databases and reduces the communication traffic and also achieves a good transaction response time. An example is given to demonstrate the step involved in executing the two-phase commit.
Knockdown of AMPA Receptor GluR2 Expression Causes Delayed Neurodegeneration and Increases Damage by Sublethal Ischemia in Hippocampal CA1 and CA3 Neurons

Considerable evidence suggests that Ca2+-permeable AMPA receptors are critical mediators of the delayed, selective neuronal death associated with transient global ischemia and sustained seizures. Global ischemia suppresses mRNA and protein expression of the glutamate receptor subunit GluR2 and increases AMPA receptor-mediated Ca2+ influx into vulnerable neurons of the hippocampal CA1 before the onset of neurodegeneration. Status epilepticus suppresses GluR2 mRNA and protein in CA3 before neurodegeneration in this region. To examine whether acute downregulation of the GluR2 subunit, even in the absence of a neurological insult, can cause neuronal cell death, we performed GluR2 “knockdown” experiments. Intracerebral injection of antisense oligodeoxynucleotides targeted to GluR2 mRNA induced delayed death of pyramidal neurons in CA1 and CA3. Antisense-induced neurodegeneration was preceded by a reduction in GluR2 mRNA, as indicated by in situ hybridization, and in GluR2 protein, as indicated by Western blot analysis. GluR2 antisense suppressed GluR2 mRNA in the dentate gyrus but did not cause cell death. The AMPA receptor antagonist 6-cyano-7-nitroquinoxiline-2,3-dione (CNQX) and the Ca2+-permeable AMPA receptor channel blocker 1-naphthyl acetyl spermine protected against antisense-induced cell death. This result indicates that antisense-induced cell death is mediated by Ca2+-permeable AMPA receptors. GluR2 antisense and brief sublethal global ischemia acted synergistically to cause degeneration of pyramidal neurons, consistent with action by a common mechanism. These findings demonstrate that downregulation of GluR2 is sufficient to induce delayed death of specific neuronal populations.
Xoncrete : a scheduling tool for partitioned real-time systems

ARINC 653 defines a partitioned framework where the partitions are scheduled according to a predefined cyclic plan and the processes of each partition are scheduled with a fixed priority policy. The timing characteristics defined in ARINC (period and duration) can hardly be used to precisely represent the timing requirements of the applications. We extend the timing model of ARINC 653 to consider deadlines and the periodic behaviour of the individual processes. A novel definition of how to model periodic activities and how this new model is specially useful in an heterogeneous partitioned system is also presented. The new model and the set of scheduling algorithms have been implemented in a scheduling tool (called Xoncrete) to assist the designer to generate the cyclic plan table. Although founded on solid theoretical results, Xoncrete is not a general purpose tool, it is a tool designed to provide real help to the system designer.
Interaction-Aware Arrangement for Event-Based Social Networks

The last decade has witnessed the emergence and popularity of event-based social networks (EBSNs), which extend online social networks to the physical world. Fundamental on EBSN platforms is to appropriately assign EBSN users to events they are interested to attend, known as event-participant arrangement. Previous event-participant arrangement studies either fail to avoid conflicts among events or ignore the social interactions among participants. In this work, we propose a new event-participant arrangement problem called Interaction-aware Global Event-Participant Arrangement (IGEPA). It globally optimizes arrangements between events and participants to avoid conflicts in events, and not only accounts for user interests, but also encourages socially active participants to join. To solve the IGEPA problem, we design an approximation algorithm which has an approximation ratio of at least 1\4. Experimental results validate the effectiveness of our solution.
DATA LEVEL FUSION FOR MULTI BIOMETRIC SYSTEM USING FACE AND FINGER

In this work, most commonly used and accepted biometrics face and finger are used for data level fusion. Multi biometric systems are expected to improve population coverage, reduce spoofing and be resilient to fault tolerance of different mono modal biometric systems. This system is designed for access control system requires more security such as allow to access important data, it is the false acceptance rate that is major concern in such applications. We do not want to access the data even the risk of manually examining a large number of potential matches identified by the biometric system.
Effect of preoperative statin therapy on myocardial protection and morbidity endpoints following off-pump coronary bypass surgery in patients with elevated C-reactive protein level

Background The aim of this study was to investigate the effects of preoperative statin therapy on myocardial protection and morbidity endpoints following off-pump coronary bypass graft surgery (OPCAB) in patients with elevated serum high-sensitivity C-reactive protein (hs-CRP) levels. Methods Of the 492 patients who underwent multivessel OPCAB from March 2007 to February 2009, the records of 144 patients whose baseline hs-CRP level > 2 mg/L were reviewed. According to the history of preoperative statin therapy for at least one week, patients were classified as either statin group or control group (72 subjects each). Preoperative and operative characteristics and postoperative data including troponin (Tn)-T level and major morbidity endpoints were obtained and compared. Major morbidity endpoints were defined as permanent stroke, renal dysfunction, hemostatic re-exploration, deep sternal wound infection, and the number of patients requiring prolonged ventilation. Results Preoperative and operative characteristics were similar between the two groups. There were no significant differences in the incidence of morbidity endpoints between the two groups, except for the number of patients requiring dialysis, which was significantly lower in the statin group (8 vs. 1, P = 0.033). Tn-T level at 24 h after surgery was also significantly lower in the statin group. Conclusions In this study, we observed beneficial effects of preoperative statin therapy for at least one week in terms of less myocardial enzyme release and fewer patients requiring dialysis following OPCAB in patients whose preoperative hs-CRP was elevated.
WAVELET BASED AUTOMATIC PHASE PICKING ALGORITHM FOR 3-COMPONENT BROADBAND SEISMOLOGICAL DATA

A phase picking algorithm has been developed for P-wave arrival detection and picking on a 3-component broadband seismogram. The algorithm is based on Wavelet Transform, Akaike Information Criteria (AIC) picker and voting mechanism. The mathematical functions have been used to cut up data into different frequency components and each component with a resolution matched to its scale is studied. Continuous Wavelet Transform (CWT) has been applied to pre-filtered 3-component broadband seismograms to compute scales of interest. Wavelet coefficients have been calculated in a sliding time window and AIC picker is applied to these coefficients. Consistency of 3 components picks is the primary criteria of phase detection. Further, for phase picking, AIC picker is applied on the filtered seismogram in the same time window where phase is detected. The comparison of the present algorithm has been checked with the time domain automatic phase pickers and manual picks by seismologists. The algorithm has been tested on regional earthquake data acquired through deployment of broadband seismological station in Garhwal Kumaon Himalayan region and shows a good agreement between analyst picks and auto picks.
Land‐Use/Cover Change and Climate

Over the last several thousand years humans have increasingly modified existing land use and land cover to meet various socioeconomic needs. It is noted that by 1990, 45.7–51.3 million km2 of the global land surface (35–39%) was being cultivated, with forest cover decreased by approximately 11 million km2 since 1750 (Pielke et al. 2011). By 2000, only a few desert regions, the central Amazon and Congo Basins, and the Arctic and Antarctic had not been affected by land-use/cover changes (LULCC). Over the last several decades LULCC has been increasingly recognized as a major forcing of local, regional, and global climate on multidecadal timescales (e.g., Mahmood et al. 2014; Pielke et al. 2011). Observations and modeling studies demonstrate that LULCC impacts meso-, regional-, and potentially global-scale atmospheric circulations, temperature, precipitation, and fluxes. These effects can be observed over multidecadal to longer timescales. Moreover, global climate modeling research demonstrates that the impacts of LULCC on extreme temperatures, for example at continental or smaller scales, can be equal to or greater than the radiative effect of a doubling of atmospheric CO2. In this context, the primary aim of this entry is to highlight the role of LULCC in the climate
Ensuring Semantic Annotation and Retrieval within Pervasive E-Learning Systems

In the age of mobility, many times a certain teacher, a student or a document face difficulties to be integrated in different e-learning systems. Focusing on the computer science field, we present a service-oriented solution for annotating and retrieving the documents and persons involved in this domain, enhancing their mobility inside pervasive e-learning systems. The solution is based on the ACM classification system, which is used in order to develop user competence profiles, to annotate materials, and to retrieve them. The ontology-based retrieval mechanism will investigate not only the matches with the concepts involved in a query, but also with their related concepts inside the ACM classification system; the ranking algorithm will consider the documents content as well as the user competence.
PG-LDPCC Codes in Turbo Equalizer Systems: Trade-Off between Design Parameters of the Protograph and the Permutation Size

Turbo equalization is a technique to enable wireless transmissions by means of an iterative exchange of information between several components at the receiver incorporating a soft equalizer. The performance achievable can be improved by adjusting the components related to one another. The focus of this paper lies on the study of the possible adjustments to terminated protograph-based Low- Density Parity Check convolutional codes. Some of the parameters (syndrome former memory ms, termination length L) are related to the underlying terminated convolutional protograph, while others (like permutation size P) come into play during the actual code construction process. Compared to our previous work where the design parameter of the protograph is the only focus of the study, this work will also focus on the final constructed codes and their performance. In order to evaluate the code's performance, the length of the code is an important property. Along with the permutation size P and the protograph parameters (ms, L), it is possible to make a fair comparison between the codes and to decide in favor of the code used to achieve the desired requirements of code length, performance, and code rate.
METACOGNITIVE AWARENESS AND ACADEMIC SELF-CONCEPT AMONG THE HIGH SCHOOL STUDENTS

This research paper emphasizes the Metacognitive Awareness and Academic Self-Concept among the high school students of class eight in Sangareddy town, Telangana, India. In this research, Null hypothesis was formulated, Two standardized tool were used: Metacognitive Awareness Index Scale(Shraw and dennison-1994)and Academic Self Concept Scale [ASCS] developed by Reynolds, et al., (1980), Descriptive and inferential statistics were applied, Normality of sample Tested, final sample was taken 163 with simple random sampling technique was used in this study. According to Correlational Study, research finding is a positive correlation between academic self-concept and metacognitive awareness among the class 8 th students in the study area.
A severity measurement system for obstructive sleep apnea discrimination using a single ECG signal

A new severity measurement system for obstructive sleep apnea (OSA) classification has been proposed in this paper. This system was based on the segmentation of RR interval (R wave to R wave interval on ECG signal) sequence followed by baseline construction for different categories of patients with various severities. A novel automatic segmentation algorithm based on K-S test was developed in this system. The performance of the severity system was evaluated using a cohort of patients and the results showed that this proposed severity measurement system was effective to discriminate the OSA and non-OSA.
Operation and accuracy of an automated cryocooler-based 10 Volt Josephson Voltage Standard System

A commercially available complete m icroprocessor controlled, f ully au tomated 10 Volt Jos ephson voltage standard system operated with a cryocooler was developed in cooperation between IPHT and Supracon. The system operates with an array of altogether 19,700 SIS Josephson tunnel junctions. A direct comparison to a helium-based system showed an agreement of 1.3 nV at a relative uncertainty of 2×10 -10 .
Net comparison: a fast and effective method for classifying image sequences

As video information proliferates, managing video sources becomes increasingly important. Automatic video partitioning is a prerequisite for organizing and indexing video sources. Several methods have been introduced to tackle this problem, e.g., pairwise and histogram comparisons. Each has advantages, but all are slow because they entail inspection of entire images. Furthermore none of these methods have been able to define camera break and gradual transition, which are basic concepts for partitioning. In this paper, we attempt to define camera break. Then, based on our definition and probability analysis, we propose a new video partitioning algorithm, called NET Comparison (NC), which compares the pixels along predefined net lines. In this way, only part of the image is inspected during classification. We compare the effectiveness of our method with other algorithms such as pairwise, likelihood and histogram comparisons, evaluating them on the basis of a large set of varied image sequences that include camera movements, zooming, moving objects, deformed objects and video with degraded image quality. Both gray-level and HSV images were tested and our method out-performed existing approaches in speed and accuracy. On average, our method processes images two to three times faster than the best existing approach.
Do Welfare Asset Limits Affect Household Saving?

We use data from the Panel Study of Income Dynamics to estimate the effect of new saving incentives implemented as part of the 1996 welfare reform on household saving. Economic theory predicts that loosening asset limits will increase total savings for households with a large ex-ante probability of welfare receipt such as female-headed households with children. We follow a sample of female heads with children and find that in both absolute terms, and relative to comparison groups of male heads and female heads without children, there has been no effect of welfare policy changes on the saving of at-risk households.
A Novel Multi-channel Multi-radio Wireless Mesh Node Architecture for NS-2

In this paper, we propose new network simulator architecture to simulate the performance of multi-channel multi-radio mesh network in the NS-2. We add Multi-radio abstraction layer to manage multiple radio instances, and we are able to simulate regardless of the number of channels and radios in each node. Most of all, we implement some important procedures for realistic multi-channel multi-radio experiments such as channel switching mechanism and multiple radio usage policy. Using this architecture, we evaluate the performance when all of nodes utilize 3 radios according to the number of available channels. Simulation results show that the performance can be improved up to 2.15 times compared to using 2 radios.
The Exact renormalization group and approximate solutions

We investigate the structure of Polchinski’s formulation of the flow equations for the continuum Wilson effective action. Reinterpretations in terms of I.R. cutoff Green’s functions are given. A promising nonperturbative approximation scheme is derived by carefully taking the sharp cutoff limit and expanding in “irrelevancy” of operators. We illustrate with two simple models of four-dimensional λφ4 theory: the cactus approximation, and a model incorporating the first irrelevant correction to the renormalized coupling. The qualitative and quantitative behaviour give confidence in a fuller use of this method for obtaining accurate results.
Multirate Filter Design-An Introduction

The filter implemented as a standard Parks-McClellan algorithm design requires 681 taps or 681 multiplies and add combinations. However, if the sampling rate was changed to 2500 Hz, the filter would require only 35 multiply and add combinations. This leads to the concept of changing the sampling rates downward (decimation) to a lower sampling rate; filtering the signal and then changing the sampling rate upward (interpolation) to the original sampling rate.