nils-herrmann/clean_scirepeval huggingface dataset:
The Pharmacokinetics and Local Tolerability of a Novel Sublingual Formulation of Buprenorphine.

The principal study objective was to investigate the pharmacokinetic characteristics and determine the absolute bioavailability and tolerability of a new sublingual (SL) buprenorphine wafer.



The study was of open label, two-way randomized crossover design in 14 fasted healthy male and female volunteers. Each participant, under naltrexone block, received either a single intravenous dose of 300 mcg of buprenorphine as a constant infusion over five minutes or a sublingual dose of 800 mcg of buprenorphine in two treatment periods separated by a seven-day washout period. Blood sampling for plasma drug assay was taken on 16 occasions throughout a 48-hour period (predose and at 10, 20, 30, and 45 minutes, 1, 1.5, 2, 2.5, 3, 4, 6, 8, 12, 24 and 48 hours postdose). The pharmacokinetic parameters were determined by noncompartmental analyses of the buprenorphine plasma concentration-time profiles. Local tolerability was assessed using modified Likert scales.



The absolute bioavailability of SL buprenorphine was 45.4% (95% confidence interval = 37.8-54.3%). The median times to peak plasma concentration were 10 minutes and 60 minutes after IV and SL administration, respectively. The peak plasma concentration was 2.65 ng/mL and 0.74 ng/mL after IV and SL administration, respectively. The half-lives were 9.1 hours and 11.2 hours after IV and SL administration, respectively. The wafer had very good local tolerability.



This novel sublingual buprenorphine wafer has high bioavailability and reduced Tmax compared with other SL tablet formulations of buprenorphine. The wafer displayed very good local tolerability. The results suggest that this novel buprenorphine wafer may provide enhanced clinical utility in the management of both acute and chronic pain.



Buprenorphine is approved for use in pain management and opioid addiction. Sublingual administration of buprenorphine is a simple and noninvasive route of administration and has been available for many years. Improved sublingual formulations may lead to increased utilization of this useful drug for acute and chronic pain management.
Brand trust and brand extension acceptance : the relationship

This UK-based research aims to build on the US-based work of Keller and Aaker, which found a significant association between “company credibility” (via a brand’s “expertise” and “trustworthiness”) and brand extension acceptance, hypothesising that brand trust, measured via two correlate dimensions, is significantly related to brand extension acceptance.  Discusses brand extension and various prior, validated influences on its success. Focuses on the construct of trust and develops hypotheses about the relationship of brand trust with brand extension acceptance. The hypotheses are then tested on data collected from consumers in the UK.  This paper, using 368 consumer responses to nine, real, low involvement UK product and service brands, finds support for a significant association between the variables, comparable in strength with that between media weight and brand share, and greater than that delivered by the perceived quality level of the parent brand.  The research findings, which develop a sparse literature in this linkage area, are of significance to marketing practitioners, since brand trust, already associated with brand equity and brand loyalty, and now with brand extension, needs to be managed and monitored with care. The paper prompts further investigation of the relationship between brand trust and brand extension acceptance in other geographic markets and with other higher involvement categories.
Disturbance Observer based friction compensator for a DC motor

Friction is primary disturbance in motion control. Different types of friction cause diminution of original torque in a DC motor, such as static friction, viscous friction etc. By some means if those can be determined and compensated, the friction effect from the DC motor can be neglected. It would be a great advantage for control systems. Authors have determined the types of frictions as well as frictional coefficients and suggested a unique way of compensating the friction in a DC motor using Disturbance Observer Method which is used to determine the disturbance torques acting on a DC motor. In simulation approach, the method is modelled using MATLAB and the results have been obtained and analysed. The block diagram consists with DC motor model with DOB and RTOB. Practical approach of the implemented block diagram is shown by the obtained results. It is discussed the possibility of applying this to real life applications.
Chizpurfle: A Gray-Box Android Fuzzer for Vendor Service Customizations

Android has become the most popular mobile OS, as it enables device manufacturers to introduce customizations to compete with value-added services. However, customizations make the OS less dependable and secure, since they can introduce software flaws. Such flaws can be found by using fuzzing, a popular testing technique among security researchers.This paper presents Chizpurfle, a novel "gray-box" fuzzing tool for vendor-specific Android services. Testing these services is challenging for existing tools, since vendors do not provide source code and the services cannot be run on a device emulator. Chizpurfle has been designed to run on an unmodified Android OS on an actual device. The tool automatically discovers, fuzzes, and profiles proprietary services. This work evaluates the applicability and performance of Chizpurfle on the Samsung Galaxy S6 Edge, and discusses software bugs found in privileged vendor services.
Mobile computing: issues and challenges

Mobile Cloud Computing (MCC) is an emerging field. Due to the wide usage of mobile devices and variety of applications, mobile cloud computing becomes a necessary part for mobile devices, due to reliability and portability as data processing and storage take place outside of the mobile. It is useful in a sense to save battery and computation power of mobile devices which is a serious issue in high power mobile devices. Mobile cloud computing provide mobile users a service where they can use cloud services on their mobiles and perform computations. As mobile Cloud computing is still in early stage of development, it is useful to build a thorough understanding about existing models and future trends. The purpose of this survey is to analyze and point out the major challenges and risk involved in the mobile cloud computing as well as present new trends in this field.
Learning word embeddings via context grouping

Recently, neural-network based word embedding models have been shown to produce high-quality distributional representations capturing both semantic and syntactic information. In this paper, we propose a grouping-based context predictive model by considering the interactions of context words, which generalizes the widely used CBOW model and Skip-Gram model. In particular, the words within a context window are split into several groups with a grouping function, where words in the same group are combined while different groups are treated as independent. To determine the grouping function, we propose a relatedness hypothesis stating the relationship among context words and propose several context grouping methods. Experimental results demonstrate better representations can be learned with suitable context groups.
Characterizing complex product architectures

Due to the large-scale nature of complex product architectures, it is necessary to develop some form of abstraction in order to be able to describe and grasp the structure of the product, facilitating product modularization. In this paper we develop three methods for describing product architectures: (a) the Dependency Structure Matrix (DSM), (b) Molecular Diagrams (MD), and (c) Visibility-Dependency (VD) signature diagrams. Each method has its own language (and abstraction), which can be used to qualitatively or quantitatively characterize any given architecture spanning the modular-integrated continuum. A consequence of abstraction is the loss of some detail. So, it is important to choose the correct method (and resolution) to characterize the architecture in order to retain the salient details. The proposed methods are suited for describing architectures of varying levels of complexity and detail. The three methods are demonstrated using a sequence of illustrative simple examples and a case-study analysis of a complex product architecture for an industrial gas turbine.
The Dynamic Yannakakis Algorithm: Compact and Efficient Query Processing Under Updates

Modern computing tasks such as real-time analytics require refresh of query results under high update rates. Incremental View Maintenance (IVM) approaches this problem by materializing results in order to avoid recomputation. IVM naturally induces a trade-off between the space needed to maintain the materialized results and the time used to process updates. In this paper, we show that the full materialization of results is a barrier for more general optimization strategies. In particular, we present a new approach for evaluating queries under updates. Instead of the materialization of results, we require a data structure that allows: (1) linear time maintenance under updates, (2) constant-delay enumeration of the output, (3) constant-time lookups in the output, while (4) using only linear space in the size of the database. We call such a structure a Dynamic Constant-delay Linear Representation (DCLR) for the query. We show that DYN, a dynamic version of the Yannakakis algorithm, yields DCLRs for the class of free-connex acyclic CQs. We show that this is optimal in the sense that no DCLR can exist for CQs that are not free-connex acyclic. Moreover, we identify a sub-class of queries for which DYN features constant-time update per tuple and show that this class is maximal. Finally, using the TPC-H and TPC-DS benchmarks, we experimentally compare DYN and a higher-order IVM (HIVM) engine. Our approach is not only more efficient in terms of memory consumption (as expected), but is also consistently faster in processing updates.
Time-Delay Observables for Koopman : Theory and Applications

Nonlinear dynamical systems are ubiquitous in science and engineering, yet many issues still exist related to the analysis and prediction of these systems. Koopman theory circumvents these issues by transforming the finite-dimensional nonlinear dynamics to a linear dynamical system of functions in an infinite-dimensional Hilbert space of observables. The eigenfunctions of the Koopman operator evolve linearly in time and thus provide a natural coordinate system for simplifying the dynamical behaviors of the system. We consider a family of observable functions constructed by projecting the delay coordinates of the system onto the eigenvectors of the autocorrelation function, which can be regarded as continuous SVD basis vectors for time-delay observables. We observe that these functions are the most parsimonious basis of observables for a system with Koopman mode decomposition of order N , in the sense that the associated Koopman eigenfunctions are guaranteed to lie in the span of the first N of these coordinates. We conjecture and prove a number of theoretical results related to the quality of these approximations in the more general setting where the system has mixed spectra or the coordinates are otherwise insufficient to capture the full spectral information. We prove a related and very general result that the dynamics of the observables generated by projecting delay coordinates onto an arbitrary orthonormal basis are systemindependent and depend only on the choice of basis, which gives a highly efficient way of computing representations of the Koopman operator in these coordinates. We show that this formalism provides a theoretical underpinning for the empirical results in , which found that chaotic dynamical systems can be approximately factored into intermittently forced linear systems when viewed in delay coordinates. Finally, we compute these time delay observables for a number of example dynamical systems and show that empirical results match our theory.
THE WATER-WATER CYCLE IN CHLOROPLASTS: Scavenging of Active Oxygens and Dissipation of Excess Photons.

Photoreduction of dioxygen in photosystem I (PSI) of chloroplasts generates superoxide radicals as the primary product. In intact chloroplasts, the superoxide and the hydrogen peroxide produced via the disproportionation of superoxide are so rapidly scavenged at the site of their generation that the active oxygens do not inactivate the PSI complex, the stromal enzymes, or the scavenging system itself. The overall reaction for scavenging of active oxygens is the photoreduction of dioxygen to water via superoxide and hydrogen peroxide in PSI by the electrons derived from water in PSII, and the water-water cycle is proposed for these sequences. An overview is given of the molecular mechanism of the water-water cycle and microcompartmentalization of the enzymes participating in it. Whenever the water-water cycle operates properly for scavenging of active oxygens in chloroplasts, it also effectively dissipates excess excitation energy under environmental stress. The dual functions of the water-water cycle for protection from photoinihibition are discussed.
Ultralow-power adiabatic circuit semi-custom design

This brief shows that a conventional semi-custom design-flow based on a positive feedback adiabatic logic (PFAL) cell library allows any VLSI designer to design and verify complex adiabatic systems (e.g., arithmetic units) in a short time and easy way, thus, enjoying the energy reduction benefits of adiabatic logic. A family of semi-custom PFAL carry lookahead adders and parallel multipliers were designed in a 0.6-/spl mu/m CMOS technology and verified. Post-layout simulations show that semi-custom adiabatic arithmetic units can save energy a factor 17 at 10 MHz and about 7 at 100 MHz, as compared to a logically equivalent static CMOS implementation. The energy saving obtained is also better if compared to other custom adiabatic circuit realizations and maintains high values (3/spl divide/6) even when the losses in power-clock generation are considered.
Theoretical Framework for Plastic Waste Management in Ghana through Extended Producer Responsibility: Case of Sachet Water Waste.

Currently, use and disposal of plastic by consumers through waste management activities in Ghana not only creates environmental problems, but also reinforces the notion of a wasteful society. The magnitude of this problem has led to increasing pressure from the public for efficient and practical measures to solve the waste problem. This paper analyses the impact of plastic use and disposal in Ghana. It emphasizes the need for commitment to proper management of the impacts of plastic waste and effective environmental management in the country. Sustainable Solid Waste Management (SSWM) is a critical problem for developing countries with regards to climate change and greenhouse gas emission, and also the general wellbeing of the populace. Key themes of this paper are producer responsibility and management of products at end of life. The paper proposes two theatrical recovery models that can be used to address the issue of sachet waste in Ghana.
The structure and binding mode of citrate in the stabilization of gold nanoparticles.

Elucidating the binding mode of carboxylate-containing ligands to gold nanoparticles (AuNPs) is crucial to understand their stabilizing role. A detailed picture of the three-dimensional structure and coordination modes of citrate, acetate, succinate and glutarate to AuNPs is obtained by 13C and 23Na solid-state NMR in combination with computational modelling and electron microscopy. The binding between the carboxylates and the AuNP surface is found to occur in three different modes. These three modes are simultaneously present at low citrate to gold ratios, while a monocarboxylate monodentate (1κO1) mode is favoured at high citrate:gold ratios. The surface AuNP atoms are found to be predominantly in the zero oxidation state after citrate coordination, although trace amounts of Auδ+ are observed. 23Na NMR experiments show that Na+ ions are present near the gold surface, indicating that carboxylate binding occurs as a 2e- L-type interaction for each oxygen atom involved. This approach has broad potential to probe the binding of a variety of ligands to metal nanoparticles.
Force Control Strategy for a Hand Exoskeleton Based on Sliding Mode Position Control

This paper presents a force-based control mode for a hand exoskeleton. This device has been developed with focus on support of the rehabilitation process after hand injuries or strokes. As the device is designed for the later use on patients, which have limited hand mobility, fast undesired movements have to be averted. Safety precautions in the hardware and software design of the system must be taken to ensure this. The construction allows controlling motions of the finger joints. However, due to friction in gears and mechanical construction, it is not possible to move finger joints within the construction without help of actuators. Therefore force sensors are integrated into the construction to sense force exchanged between human and exoskeleton. These allow the human to control the movements of the hand exoskeleton, which is useful to teach new trajectories or can be used for diagnostic purposes. The force control scheme presented in this paper uses the force sensor values to generate a trajectory which is executed by a position control loop based on sliding mode control
Intelligent power allocation and load management of more electric aircraft

Intelligent power allocation and load management systems have been playing an increasingly important role in aircrafts whose electrical network systems are getting more and more complex. Load shedding used to be the main means of aircraft power management. But the increasing number of electrical components and the emphasis of safety and human comfort call for more resilient power management. In this paper we present a novel power allocation and scheduling formulation which aims for minimum load shedding and optimal generator operational profiles. The problem is formulated as a mixed integer quadratic programming (MIQP) problem and solved by CPLEX optimization tool.
Traceability and visual analytics for the Internet-of-Things (IoT) architecture

There are several billion network-oriented devices in use today that are facilitated to inter-communicate; thereby forming a giant neural-like architecture known as the Internet-of-Things (IoT). The benefits of the IoT cut across all spectrums of our individual lives, corporate culture, and societal co-existence. This is because IoT devices support health tracking, security monitoring, consumer tracking, forecasting, and so on. However, the huge interconnectedness in IoT architectures complicates traceability and faulty data propagation is not easily detected since there are challenges with data origin authentication. Thus, this research proposes a provenance technique to deal with these issues. The technique is based on associative rules and lexical chaining methodologies, which enable traceability through the identification of propagation routes of data and object-to-object communications. Through visualization tools, the proposed methodologies also enabled us to determine linkability and unlinkability between IoT devices in a network which further leads to mechanisms to check correctness in sensor data propagation.
Early Adolescents ' Experiences of Mental Health : A Mixed-Methods Investigation

.............................................................................................................................. ii Acknowledgments .............................................................................................................. iii Table of Contents ............................................................................................................... iv List of Tables .................................................................................................................... vii List of Appendices ........................................................................................................... viii Early Adolescents’ Perspectives of Mental Health: A Mixed-Methods Investigation ....... 1 1.1	   Introduction ............................................................................................................. 1 1.2	   Early Adolescence .................................................................................................. 2 1.3	   Belongingness ......................................................................................................... 3 1.4	   Early Adolescence, Mental Health, and Wellbeing ................................................ 5 1.5	   Depression, Anxiety, and Gender Differences ....................................................... 6 1.6	   Coping ..................................................................................................................... 9 1.7	   Children’s Perceptions of Mental Health .............................................................. 11 1.8	   Prevention and Early Intervention ........................................................................ 14 1.9	   The Significance of Incorporating Youth Voices ................................................. 15 1.10	  Aims of the Current Study .................................................................................... 16 1.11	  Hypotheses and Research Questions .................................................................... 16 Method .............................................................................................................................. 18 2	   Mixed-Methods Research Design ................................................................................ 18 2.1	   Study 1 .................................................................................................................. 18 2.1.1	   Participants ................................................................................................ 18 2.1.2	   Measure ..................................................................................................... 19 2.1.3	   Procedure .................................................................................................. 19 2.2	   Study 2 .................................................................................................................. 19
Performance Measurement for Knowledge Management : Designing a Reference Model

Knowledge is recognized as a key resource for organizational success. Making the best use of this resource is an important concern for both researcher and practitioner (Barthelme-trapp and Vincent 2001). To obtain all Knowledge Management (KM) benefits, it is necessary to measure the KM performance (Ragab and Arisha 2013). Since there are no standards in measuring KM performance, many approaches and models are proposed in the literature. They argue that KM performance measurement follows three phases: defining the KM objective for which the performance will be measured, modeling the components of the KM to be measured, and identifying a set of relevant measures for each component of the model Abstract