Miracle-dz/UniFAR-FTUs huggingface dataset:
Online Detection of Fundamental and Interharmonics in AC Mains for Parallel Operation of Multiple Grid-Connected Power Converters

Parallel operation of multiple grid-connected power converters through LCL filters is known to have the potential problem of triggering oscillations in the ac mains. Such oscillatory frequencies are not integral multiples of the fundamental frequency and, hence, form a new source of interharmonics. Early detection of such oscillations is essential for the parallel power converters to move out of the unstable zone. This paper presents an online observer-based algorithm that can perform fast detection of interharmonics within a specified frequency band. The algorithm has been adopted in a specific and reduced form from an integral observer algorithm for detection of fundamental and interharmonic voltage components in the ac mains. A new method based on the kernel signal for fast interharmonic detection is proposed and practically verified. It has been implemented in a digital controller to detect oscillations such as those occurring between two grid-connected power converters. The practical results indicate that the algorithm can locate such frequency within the specific frequency band within one mains cycle.
Return to Work of Patients Treated With Spinal Cord Stimulation for Chronic Pain: A Systematic Review and Meta‐Analysis

Chronic pain has a substantial negative impact on work‐related outcomes, which underscores the importance of interventions to reduce the burden. Spinal cord stimulation (SCS) efficiently causes pain relief in specific chronic pain syndromes. The aim of this review was to identify and summarize evidence on returning to work in patients with chronic pain treated with SCS.
Randomized trial of Cell Saver in 2- to 3-level lumbar instrumented posterior fusions.

OBJECTIVEThe goal of this study was to determine efficacy and cost-effectiveness of Cell Saver in 2- and 3-level lumbar decompression and fusion.METHODSPatients seen at a tertiary care spine center who were undergoing a posterior 2- or 3-level lumbar decompression and fusion were randomized to have Cell Saver used during their surgery (CS group, n = 48) or not used (No Cell Saver [NCS] group, n = 47). Data regarding preoperative and postoperative hemoglobin and hematocrit, estimated blood loss, volume of Cell Saver blood reinfused, number of units and volume of allogeneic blood transfused intraoperatively and postoperatively, complications, and costs were collected. Costs associated with Cell Saver use were calculated based on units of allogeneic blood transfusions averted.RESULTSDemographics and surgical parameters were similar in both groups. The mean estimated blood loss was similar in both groups: 612 ml in the CS group and 742 ml in the NCS group. There were 53 U of allogeneic blood transfused in 29 patients in the NCS group at a total blood product cost of $67,688; and 38 U of allogeneic blood transfused in 16 patients in the CS group at a total blood cost of $113,162, resulting in a cost of $3031 per allogeneic blood transfusion averted using Cell Saver.CONCLUSIONSCell Saver use produced lower rates of allogeneic transfusion but was found to be more expensive than using only allogeneic blood for 2- and 3-level lumbar degenerative fusions. This increased cost may be reasonable to patients who perceive that the risks associated with allogeneic transfusions are unacceptable. ■ CLASSIFICATION OF EVIDENCE Type of question: therapeutic; study design: randomized controlled trial; evidence: class III.
Opinions of key stakeholders concerning involuntary admission of patients under the Mental Health Act 2001

Objectives To evaluate and compare the opinions of key stakeholders involved in the involuntary admission and treatment of patients under the Mental Health Act (MHA) 2001 regarding their views towards the operation of the legislation. Methods We employed a descriptive survey design. A questionnaire was distributed to stakeholders involved in the operation of the MHA 2001 (except service users, whose views were explored in a separate qualitative study) via paper or online versions evaluating their opinions regarding the operation of the MHA 2001 in relation to assessment, care, rights, transfer and information available. Results Stakeholders agreed that in their opinion that patients generally benefit from the care they receive (79%) and that the MHA 2001 ensures an independent and fair review of the person’s detention (65%). However, only 23% of stakeholders were satisfied with the process of transferring patients to hospital and with the clinical assessment procedures therein (37%), with the greatest levels of dissatisfaction amongst Gardai (Police), general practitioners (GPs) and family members. Conclusions While the introduction of the MHA 2001 has assisted delivery of care to patients with improved adherence to international human rights frameworks applicable at the time of its enactment, substantial dissatisfaction with the implementation of the MHA 2001 in practice is experienced by stakeholders particularly at the distressing phase of clinical assessment and transfer to hospital.
Knowledge Management Capability Impact on Enterprise Performance in Russian High-Tech Sector

The aim of this paper is to empirically investigate the role of knowledge management capability in the Russian high-tech sector. The high-tech complex plays an important role in the economy of the Russian Federation and accounts for 21% of the gross domestic product. The results of the previous research have shown that among the three selected antecedents the engineering processes have the most impact on knowledge management (KM) capability. However KM capability did not prove the mediating role between these antecedents and enterprise performance. Moreover, the questionnaire used was not clear enough to respondents, and the data processing tool was not appropriate either. This paper presents the next step of the study where an improved questionnaire and a modified data processing tool were used. The main findings are the following: the positive impact of chosen antecedents on KM capability has been confirmed as well as role of KM as a mediator; the peculiarities of knowledge management capability in the Russian high-tech sector have been identified.
Shared Execution Approach to ε-Distance Join Queries in Dynamic Road Networks

Given a threshold distance e and two object sets R and S in a road network, an e-distance join query finds object pairs from R × S that are within the threshold distance e (e.g., find passenger and taxicab pairs within a five-minute driving distance). Although this is a well-studied problem in the Euclidean space, little attention has been paid to dynamic road networks where the weights of road segments (e.g., travel times) are frequently updated and the distance between two objects is the length of the shortest path connecting them. In this work, we address the problem of e-distance join queries in dynamic road networks by proposing an optimized e-distance join algorithm called EDISON, the key concept of which is to cluster adjacent objects of the same type into a group, and then to optimize shared execution for the group to avoid redundant network traversal. The proposed method is intuitive and easy to implement, thereby allowing its simple integration with existing range query algorithms in road networks. We conduct an extensive experimental study using real-world roadmaps to show the efficiency and scalability of our shared execution approach.
Hazard-evaluation-oriented moving horizon parallel steering control for driver-automation collaboration during automated driving

Prompted by emerging developments in connected and automated vehicles, parallel steering control, one aspect of parallel driving, has become highly important for intelligent vehicles for easing the burden and ensuring the safety of human drivers. This paper presents a parallel steering control framework for an intelligent vehicle using moving horizon optimization. The framework considers lateral stability, collision avoidance and actuator saturation and describes them as constraints, which can blend the operation of a human driver and a parallel steering controller effectively. Moreover, the road hazard and the steering operation error are employed to evaluate the operational hazardous of an intelligent vehicle. Under the hazard evaluation, the intelligent vehicle will be mainly operated by the human driver when the vehicle operates in a safe and stable manner. The automated steering driving objective will play an active role and regulate the steering operations of the intelligent vehicle based on the hazard evaluation. To verify the effectiveness of the proposed hazard-evaluation-oriented moving horizon parallel steering control approach, various validations are conducted, and the results are compared with a parallel steering scheme that does not consider automated driving situations. The results illustrate that the proposed parallel steering controller achieves acceptable performance under both conventional conditions and hazardous conditions.
Metaphor Representation and Analysis of Non-Spatial Data in Map-Like Visualizations

Metaphors are rhetorical devices in linguistics that facilitate the understanding of an unfamiliar concept based on a familiar concept. Map representations are usually referred to as the second language of geo-science studies, and the metaphor method could be applied to maps to visualize non-spatial data via spatial element symbols. This study performs a cross-domain application of the map representation method through a map-like visualization. The procedure first designs the map layout with the aid of the Gosper curve. Under the guidance of the Gosper curve, the leaf data items without spatial attributes are arranged on the space plane. Through the bottom-up regional integration, one can complete the construction of the map framework. Then, the cartographic method is used to complete map-like renderings that reflect different data features through diverse visualizations. The map representation advantages, such as overview sensing and multi-scale representation, are also reflected in the map-like visualization and used to identify the characteristics of non-spatial data. Additionally, the electronic map provides a series of interactive convenience features for map observation and analysis. Using the help of map-like visualizations, one can perform a series of analyses of non-spatial data in a new form. To verify the proposed method, the authors conducted map-making experiments and data analyses using real data.
Corporate Venture Management in Small-Medium Sized Enterprise

Corporate venturing is one way for corporations to introduce strategic renewal into their business portfolios, which is imperative for ongoing success in innovation-driven industries. Prior research finds that corporate ventures should be separated from the mainstream business in loosely coupled sub-units, but scholars continue to discuss how loose or tight the ventures should be to balance exploration and exploitation. Hence, the antecedents for successful venture management are yet to be fully explored and our study contributes to this effort. The study shows that corporate venture success is enhanced when corporate management grants job and strategic autonomy to the venture managers. This is further amplified when corporate management simultaneously imposes an exploitative policy that forces venture managers to prioritize extensions to and improvements of existing competences and product-market offerings.
Monitoring of Plant Protein Post-translational Modifications Using Targeted Proteomics

Protein post-translational modifications (PTMs) are among the fastest and earliest of plant responses to changes in the environment, making the mechanisms and dynamics of PTMs an important area of plant science. One of the most studied PTMs is protein phosphorylation. This review summarizes the use of targeted proteomics for the elucidation of the biological functioning of plant PTMs, and focuses primarily on phosphorylation. Since phosphorylated peptides have a low abundance, usually complex enrichment protocols are required for their research. Initial identification is usually performed with discovery phosphoproteomics, using high sensitivity mass spectrometers, where as many phosphopeptides are measured as possible. Once a PTM site is identified, biological characterization can be addressed with targeted proteomics. In targeted proteomics, Selected/Multiple Reaction Monitoring (S/MRM) is traditionally coupled to simple, standard protein digestion protocols, often omitting the enrichment step, and relying on triple-quadruple mass spectrometer. The use of synthetic peptides as internal standards allows accurate identification, avoiding cross-reactivity typical for some antibody based approaches. Importantly, internal standards allow absolute peptide quantitation, reported down to 0.1 femtomoles, also useful for determination of phospho-site occupancy. S/MRM is advantageous in situations where monitoring and diagnostics of peptide PTM status is needed for many samples, as it has faster sample processing times, higher throughput than other approaches, and excellent quantitation and reproducibility. Furthermore, the number of publicly available data-bases with plant PTM discovery data is growing, facilitating selection of modified peptides and design of targeted proteomics workflows. Recent instrument developments result in faster scanning times, inclusion of ion-trap instruments leading to parallel reaction monitoring- which further facilitates S/MRM experimental design. Finally, recent combination of data independent and data dependent spectra acquisition means that in addition to anticipated targeted data, spectra can now be queried for unanticipated information. The potential for future applications in plant biology is outlined.
Model-Free Event-Triggered Containment Control of Multi-Agent Systems

This paper presents a model-free distributed event-triggered containment control scheme for linear multiagent systems. The proposed event-triggered scheme guarantees asymptotic stability of the equilibrium point of the containment error as well the avoidance of the Zeno behavior. To relax the requirement of complete knowledge of the dynamics, we combine an off-policy reinforcement learning algorithm in an actor critic structure with the event-trigger control mechanism to obtain the feedback gain of the distributed containment control protocol. A simulation experiment is conducted to verify the effectiveness of the approach.
Facial Retargeting by Adding Supplemental Blendshapes

This paper introduces a novel method to add a minimal set of missing blendshapes to automatically improve the quality of the retargeting result. Our approach compares the expression spaces deﬁned by the source and the target to determine which frames need to be corrected. The expression spaces are represented on the principal axes extracted from the target blendshapes. Those frames that cannot be sufﬁciently reconstructed by the current set of blendshapes will be augmented by a set of automatically generated blendshapes. The new blendshapes are determined to minimize error between the source animation and the retargeting result. We performed experiments to compare the results created by a basic set of blendshapes and by our method. Our method effectively reduces error between the source and target animation, and produces much visually improved target animation without relying on manual intervention.
Benefits of Mindfulness for Parenting in Mothers of Preschoolers in Chile

The present study evaluated whether mothers’ participation in a mindfulness-based intervention led to statistically significant differences in their general levels of stress, depression, anxiety, parental stress, mindful parenting, and mindfulness. Forty-three mothers of preschool-age children participated, 21 in the intervention group and 22 in the comparison group. Scores of mental health variables were within normal ranges before the intervention. All of the participants worked at the Universidad Católica de Chile (Catholic University of Chile), and their children attended university preschool centers. Repeated measured ANOVA analysis were performed considering differences between gain scores of each group, rather than post-treatment group differences. This was chosen in order to approach initial differences in some of the measures (mindfulness, mindful parenting, and stress) probably due to self-selection. As predicted, the intervention group showed a significant reduction in general and parental stress and an increase in mindful parenting and general mindfulness variables when compared with the comparison group. Effect sizes ranged from small to medium, with the highest Cohen’s d in stress (general and parental) and mindful parenting. In most cases, the significant change was observed between pre- and post-test measures. Follow-up measures indicated that the effects were maintained after 2 months.
"Books" and "book chapters" in the book citation index (BKCI) and science citation index (SCI, SoSCI, A&HCI)

In 2011, Thomson-Reuters introduced the Book Citation Index (BKCI) as part of the Science Citation Index (SCI). The interface of the Web of Science version 5 enables users to search for both "Books" and "Book Chapters" as new categories. Books and book chapters, however, were always among the cited references, and book chapters have been included in the database since 2005. We explore the two categories with both BKCI and SCI, and in the sister databases for the social sciences (SoSCI) and the arts & humanities (A&HCI). Book chapters in edited volumes can be highly cited. Books contain many citing references, but are relatively less cited. We suggest that this may find its origin in the slower circulation of books then of journal articles. It is possible to distinguish bibliometrically between monographs and edited volumes among the "Books". Monographs may be underrated in terms of citation impact or overrated using publication performance indicators because individual chapters are counted separately as contributions in terms of articles, reviews, and/or book chapters.
Computation Offloading for Multi-Access Mobile Edge Computing in Ultra-Dense Networks

The ultra-dense network (UDN) is envisioned to be an enabling and highly promising technology to enhance spatial multiplexing and network capacity in future 5G networks. Moreover, to address the conflict between computation-intensive applications and resource-constrained IoT mobile devices (MDs), multi-access mobile edge computing (MA-MEC), which provides the IoT MDs with cloud capabilities at the edge of radio access networks, has been proposed. UDN and MA-MEC are regarded as two distinct but complementary enabling technologies for 5G IoT applications. Over the past several years, lots of research on mobile edge computation offloading (MECO) -- the key technique in MA-MEC -- has emerged. However, it is noticed that all these works focused on the single-tier base station scenario and computation offloading between the MD and the MEC server connected to the macro base station, and few works can be found on the problem of computation offloading for MA-MEC in UDN (i.e., a multi-user ultra-dense MEC server scenario). Toward this end, we study in this article the MECO problem in UDN and propose a heuristic greedy offloading scheme as our solution. Extensive numerical results and comparisons demonstrate the necessity for and superior performance of conducting computation offloading over multiple MEC servers.
Adaptive Control of a Proportional Flow Valve for Critical Care Ventilators

Stable and precise control of air and oxygen gas flow is an essential technology for ventilators; devices that enable breathing life support functions for hospital patients. Flow control provides for oxygen mix, pressure support, and volume control functions in these devices. Ventilator flow controllers typically employ electrically controlled, proportional solenoid valves in a feedback loop with flow sensors - primarily to meet flow accuracy. But to serve the broad functionality mentioned above, flow control needs to further provide robust tracking of often dynamic flow reference signals. Simple linear controls cannot achieve this requirement and so present methods often rely on calibrating individual valves before use and ‘extending’ a PID control structure using variable gain and/or inverse feedforward models. But a calibration-free approach is more preferred, both by clinicians and in providing resiliency to calibration drift during use. This paper describes specific challenges surrounding flow control in ventilation and presents a new method that was developed and applied using synthesis methods of model reference adaptive control (MRAC). The controller demonstrates robust performance to valve nonlinearity and variance and automatically accommodates inlet gas pressure changes, eliminating any need for inlet gas regulators or valve inlet pressure measurements. The new controller offers uniform tracking of dynamic flow reference signals across the full range of patient load from large adult to small infant thus requiring no manual (a-priori) selection in the control structure or its gains to adjust for patient size.
2D Organic Photonics: An Asymmetric Optical Waveguide in Self-Assembled Halogen-Bonded Cocrystals.

Anisotropic organic molecular construction and packing are crucial for the optoelectronic properties of organic crystals. Two-dimensional (2D) organic crystals with regular morphology and good photon confinement are potentially suitable for a chip-scale planar photonics system. Herein, through the bottom-up process, 2D halogen-bonded DPEpe-F4 DIB cocrystals were fabricated that exhibit an asymmetric optical waveguide with the optical-loss coefficients of RBackward =0.0346 dB μm-1 and RForward =0.0894 dB μm-1 along the [010] crystal direction, which can be attributed to the unidirectional total internal reflection caused by the anisotropic molecular packing mode. Based on this crystal direction-oriented asymmetric photon transport, these as-prepared 2D cocrystals have been demonstrated as a microscale optical logic gate with multiple input/out channels, which will offer potential applications as the 2D optical component for the integrated organic photonics.
Erasure Coding for Decentralized Coded Caching

Coded caching can significantly decrease the communication load in peak hours of the network. The gain of caching is maximized in a centralized setting, where the cache content of users are opportunistically designed. In the absence of a centralized placement, users' caches are filled with randomly selected packets of the files. This yields to a loss in the caching gain, especially for small cache size. A novel placement scheme is introduced in this work which is based on (within file) precoding of the files at the server, followed by random cache placement. It is shown that the proposed technique improves the caching gain compared to the uncoded placement. Surprisingly, the performance of the proposed decentralized placement matches with that of the centralized placement for small cache size.