Miracle-dz/UniFAR-FTUs huggingface dataset:
Kybernetes Cybernetics and system dynamics: impacts on public policy

Purpose – The purpose of this paper is to review the state of the art and practice of two strands of thinking encapsulated in the two disciplines of cybernetics (CN) and system dynamics (SD). These possess many similarities in terms of their fundamental philosophies but which have diverged signiﬁcantly in terms of their audience and practical application. A brief theoretical review of both CN and SD is given which is then followed by a partial review of the literature and the description of a number of practical applications of both disciplines in the public policy arena. Findings from this theoretical and practical examination of both disciplines are drawn out. Design/methodology/approach – This paper has two main threads: it compares and contrasts SD and CN and it carries out a survey of published works relevant to public policy in these two areas to facilitate comparison. Findings – The paper concludes with a review of the contribution made by each discipline in the public policy ﬁeld. It draws the conclusion that both disciplines have had and continue to make a signiﬁcant contribution to a deeper non-linear understanding of the complexity of developing public policy which is seen as an inherently complex and “messy” area. Practical implications – From the analysis presented, it may be possible to draw out a means of combining both CN and SD methodologies in a synergistic fashion. Originality/value – No direct comparative evaluation of this type has previously been uncovered. The value of this paper lies in its practical implications as mentioned above.
Visual and vestibular cue integration for heading perception in extrastriate visual cortex

Natural behaviours, and hence neuronal populations, often combine multiple sensory cues to improve stimulus detectability or discriminability as we explore the environment. Here we review one such example of multisensory cue integration in the dorsal medial superior temporal area (MSTd) of the macaque visual cortex. Visual and vestibular cues about the direction of self‐motion in the world (heading) are encoded by single multisensory neurons in MSTd. Most neurons tend to prefer lateral stimulus directions and, as they are broadly tuned, are most sensitive in discriminating heading directions around straight forward. Decoding of MSTd population activity shows that these neuronal properties can account for the fact that heading perception in humans and macaques is most precise for directions around straight forward, whereas heading sensitivity declines with increasing eccentricity of the reference direction. Remarkably, when heading is specified by both cues simultaneously, behavioural precision is improved in a manner that is predicted by statistically optimal (Bayesian) cue integration models. A subpopulation of multisensory MSTd cells with congruent visual and vestibular heading preferences also combines the cues near‐optimally, establishing a potential neural substrate for behavioral cue integration.
Spatio-temporal low-level neural networks account for visual masking

T emporal masking is a paradigm that is widely used to study visual information processing. When a mask is presented, typically within less than 100 msec before or after the target, the response to the target is reduced. The results of our psychophysical and visual evoked potential (VEP) experiments show that the masking effect critically depends on a combination of several factors: (1) the processing time of the target, (2) the order of presentation of the target and the mask, and (3) the spatial arrangement of the target and the mask. Thus, the masking effect depends on the spatial-temporal combination of these factors. Suppression was observed when the mask was positioned within a spatial range that was found to evoke inhibition, and when the temporal separation between the target and the mask was short. In contrast, lateral facilitation was observed when the mask was presented at a spatial separation that did not evoke inhibition from the target’s vicinity and with a temporal sequence that preceded the target, or when it was presented simultaneously with it, but not when the target preceded the mask. We propose that masking effects, either suppression or facilitation, reflect integration into the spatial and the temporal domains of the feedforward response to the target and the lateral inputs evoked by the mask (excitatory and/or inhibitory). Because the excitation evoked by the mask develops and propagates slowly from the mask’s location to the target’s location, it lags behind the response to the target. On the other hand, inhibition that is produced in the vicinity of the target evolves more rapidly and follows the onset and offset of the stimulus more closely. Thus, lateral excitation that overcomes the inhibition may facilitate the grouping of local elements into a global percept by increasing the survivability of the object and its accessibility for perceptual awareness.
Current Concepts for Injury Prevention in Athletes After Anterior Cruciate Ligament Reconstruction

Ligament reconstruction is the current standard of care for active patients with an anterior cruciate ligament (ACL) rupture. Although the majority of ACL reconstruction (ACLR) surgeries successfully restore the mechanical stability of the injured knee, postsurgical outcomes remain widely varied. Less than half of athletes who undergo ACLR return to sport within the first year after surgery, and it is estimated that approximately 1 in 4 to 1 in 5 young, active athletes who undergo ACLR will go on to a second knee injury. The outcomes after a second knee injury and surgery are significantly less favorable than outcomes after primary injuries. As advances in graft reconstruction and fixation techniques have improved to consistently restore passive joint stability to the preinjury level, successful return to sport after ACLR appears to be predicated on numerous postsurgical factors. Importantly, a secondary ACL injury is most strongly related to modifiable postsurgical risk factors. Biomechanical abnormalities and movement asymmetries, which are more prevalent in this cohort than previously hypothesized, can persist despite high levels of functional performance, and also represent biomechanical and neuromuscular control deficits and imbalances that are strongly associated with secondary injury incidence. Decreased neuromuscular control and high-risk movement biomechanics, which appear to be heavily influenced by abnormal trunk and lower extremity movement patterns, not only predict first knee injury risk but also reinjury risk. These seminal findings indicate that abnormal movement biomechanics and neuromuscular control profiles are likely both residual to, and exacerbated by, the initial injury. Evidence-based medicine (EBM) strategies should be used to develop effective, efficacious interventions targeted to these impairments to optimize the safe return to high-risk activity. In this Current Concepts article, the authors present the latest evidence related to risk factors associated with ligament failure or a secondary (contralateral) injury in athletes who return to sport after ACLR. From these data, they propose an EBM paradigm shift in postoperative rehabilitation and return-to-sport training after ACLR that is focused on the resolution of neuromuscular deficits that commonly persist after surgical reconstruction and standard rehabilitation of athletes.
Generation of truss-structure objects with implicit representation for 3D-printing

This article presents a CIM solution for 3D-printing to improve the efficiency of mapping truss structures into polygonal models. The solution consists of model hollowing process and truss structures generation process. In most current studies, both processes were done in 3D space for CAD, which is time-consuming. In this article, a volume-based offsetting method and a hybrid truss structures generation method are developed aiming at efficiency improvement. Both of them are based on Boolean operations. To improve the efficiency of the processes, LDNIs (layer-depth normal images) is adopted as solid representation for its high performance in Boolean operations. Compared with the ones in CAD, the efficiency of hollowing method is improved by three times and the efficiency of truss structures generation is improved by more than 20 times.
Photoelastic Stress Analysis of Mandibular Fixed Prostheses Supported by 3 Dental Implants

Purpose:To observe the photoelastic stress patterns generated around implants in relation to variations in the diameter and total number of implants supporting fixed complete-arch mandibular frameworks. Materials and Methods:Three different implant configurations were analyzed (n = 3): 5 standard implants with diameters of 3.75 mm (C), 3 standard implants with diameters of 3.75 mm (3S), and 3 wide implants with diameters of 5.0 mm (3W). The samples were subjected to a vertical compressive load (1.33 kgf) applied at the end of the distal cantilever of the framework. The shear stresses were calculated around the implants, and the data were analyzed using one-way analysis of variance. Results:The implants nearest to the loading showed higher stress values regardless of the group. The C group showed lower shear stress when compared with the other groups (P = 0.001). No significant difference was observed between the 3W and 3S groups (P = 0.785). Conclusion:A reduction in the number of implants, regardless of the implant diameter, showed higher stress concentration around the implants. Five-implant configuration showed lower stress concentration and seems to be more biomechanically predictable.
Moving toward Soft Robotics: A Decade Review of the Design of Hand Exoskeletons

Soft robotics is a branch of robotics that deals with mechatronics and electromechanical systems primarily made of soft materials. This paper presents a summary of a chronicle study of various soft robotic hand exoskeletons, with different electroencephalography (EEG)- and electromyography (EMG)-based instrumentations and controls, for rehabilitation and assistance in activities of daily living. A total of 45 soft robotic hand exoskeletons are reviewed. The study follows two methodological frameworks: a systematic review and a chronological review of the exoskeletons. The first approach summarizes the designs of different soft robotic hand exoskeletons based on their mechanical, electrical and functional attributes, including the degree of freedom, number of fingers, force transmission, actuation mode and control strategy. The second approach discusses the technological trend of soft robotic hand exoskeletons in the past decade. The timeline analysis demonstrates the transformation of the exoskeletons from rigid ferrous materials to soft elastomeric materials. It uncovers recent research, development and integration of their mechanical and electrical components. It also approximates the future of the soft robotic hand exoskeletons and some of their crucial design attributes.
Integration of Profile in OLAP Systems

OLAP systems facilitate analysis by providing a multidimensional data space which decision makers explore interactively by a succession of OLAP operations. However, these systems are developed for a group of decision makers or topic analysis "subject-oriented", which are presumed, have identical needs. It makes them unsuitable for a particular use. Personalization aims to better take into account the user; first this paper presents a summary of all work undertaken in this direction with a comparative study. Secondly we developed a search algorithm for class association rules between query type and user (s) to deduce the profile of a particular user or a user set in the same category. These will be extracted from the log data file of OLAP server. For this we use a variant of prediction and explanation algorithms. These profiles then form a knowledge base. This knowledge base will be used to generate automatically a rule base (ACE), for assigning weights to the attributes of data warehouses by type of query and user preferences. More it will deduce the best contextual sequence of requests for eventual use in a recommended system.
Surgeon-Based 3D Printing for Microvascular Bone Flaps

Abstract Background Three-dimensional (3D) printing has developed as a revolutionary technology with the capacity to design accurate physical models in preoperative planning. We present our experience in surgeon-based design of 3D models, using home 3D software and printing technology for use as an adjunct in vascularized bone transfer. Methods Home 3D printing techniques were used in the design and execution of vascularized bone flap transfers to the upper extremity. Open source imaging software was used to convert preoperative computed tomography scans and create 3D models. These were printed in the surgeon's office as 3D models for the planned reconstruction. Vascularized bone flaps were designed intraoperatively based on the 3D printed models. Results Three-dimensional models were created for intraoperative use in vascularized bone flaps, including (1) medial femoral trochlea (MFT) flap for scaphoid avascular necrosis and nonunion, (2) MFT flap for lunate avascular necrosis and nonunion, (3) medial femoral condyle (MFC) flap for wrist arthrodesis, and (4) free fibula osteocutaneous flap for distal radius septic nonunion. Templates based on the 3D models allowed for the precise and rapid contouring of well-vascularized bone flaps in situ, prior to ligating the donor pedicle. Conclusions Surgeon-based 3D printing is a feasible, innovative technology that allows for the precise and rapid contouring of models that can be created in various configurations for pre- and intraoperative planning. The technology is easy to use, convenient, and highly economical as compared with traditional send-out manufacturing. Surgeon-based 3D printing is a useful adjunct in vascularized bone transfer. Level of Evidence Level IV.
Interleukin-6 regulates pancreatic α-cell mass expansion

Interleukin-6 (IL-6) is systemically elevated in obesity and is a predictive factor to develop type 2 diabetes. Pancreatic islet pathology in type 2 diabetes is characterized by reduced β-cell function and mass, an increased proportion of α-cells relative to β-cells, and α-cell dysfunction. Here we show that the α cell is a primary target of IL-6 actions. Beginning with investigating the tissue-specific expression pattern of the IL-6 receptor (IL-6R) in both mice and rats, we find the highest expression of the IL-6R in the endocrine pancreas, with highest expression on the α-cell. The islet IL-6R is functional, and IL-6 acutely regulates both pro-glucagon mRNA and glucagon secretion in mouse and human islets, with no acute effect on insulin secretion. Furthermore, IL-6 stimulates α-cell proliferation, prevents apoptosis due to metabolic stress, and regulates α-cell mass in vivo. Using IL-6 KO mice fed a high-fat diet, we find that IL-6 is necessary for high-fat diet-induced increased α-cell mass, an effect that occurs early in response to diet change. Further, after high-fat diet feeding, IL-6 KO mice without expansion of α-cell mass display decreased fasting glucagon levels. However, despite these α-cell effects, high-fat feeding of IL-6 KO mice results in increased fed glycemia due to impaired insulin secretion, with unchanged insulin sensitivity and similar body weights. Thus, we conclude that IL-6 is necessary for the expansion of pancreatic α-cell mass in response to high-fat diet feeding, and we suggest that this expansion may be needed for functional β-cell compensation to increased metabolic demand.
A G Protein–Coupled Receptor Is Essential for Schwann Cells to Initiate Myelination

Making Myelin The myelin sheath insulates neurons and facilitates rapid axonal conduction, and its disruption is characteristic of some neurological disorders, such as multiple sclerosis. Axonal signals stimulate Schwann cells to form myelin in peripheral nerves, but the mechanism is not completely known. By characterizing a mutation identified in zebrafish, Monk et al. (p. 1402; see the Perspective by Meijer) show that Gpr126, a member of the G protein–coupled receptor superfamily, is essential for myelin formation. It appears that Gpr126 acts as a receptor for axonal signals to elevate cAMP levels in Schwann cells and trigger myelination. A G protein–coupled receptor family member elevates cyclic adenosine monophosphate in Schwann cells to trigger myelination in zebrafish. The myelin sheath allows axons to conduct action potentials rapidly in the vertebrate nervous system. Axonal signals activate expression of specific transcription factors, including Oct6 and Krox20, that initiate myelination in Schwann cells. Elevation of cyclic adenosine monophosphate (cAMP) can mimic axonal contact in vitro, but the mechanisms that regulate cAMP levels in vivo are unknown. Using mutational analysis in zebrafish, we found that the G protein–coupled receptor Gpr126 is required autonomously in Schwann cells for myelination. In gpr126 mutants, Schwann cells failed to express oct6 and krox20 and were arrested at the promyelinating stage. Elevation of cAMP in gpr126 mutants, but not krox20 mutants, could restore myelination. We propose that Gpr126 drives the differentiation of promyelinating Schwann cells by elevating cAMP levels, thereby triggering Oct6 expression and myelination.
Three-Dimensional Feature Diagrams Visualization

Visualizing and manipulating large feature diagrams is still an open issue for the SPL community. Few effort has been made on improving the techniques to get the most out of drawing space and current feature modeling tools either use file-system-like trees or 2D graphs that must be scrolled to locate features. The aim of this paper is presenting a new method to draw large feature models based on cone trees, a three-dimensional visualization technique to represent hierarchical information. In order to evaluate our proposal, we develop a prototype that generates standard 3D files so it can be easily integrated into existing tools. Finally, we present a roadmap for a future extension of our proposal with dynamic behaviour so large feature models handling might be improved.
Scaffold architecture for dental biomaterials: influence of process parameters on the structural morphology of chitosan electrospun fibers

Objective : The electrospinning is a widely adopted technique used to produce the polymeric fibers. The process depends on process parameters (voltage, flow rate and distance from capillary to the collector). The present study aimed to evaluate the influence of these parameters on chitosan fibers, a biopolymer used as scaffolds in dental and oral tissue engineering. Material and Methods: A solution of 7%(m/w) was prepared dissolving 0.7g of chitosan in 7 mL of trifluoroacetic acid (TFA) and 0.3mL of dichloromethane (DCM) (TFA/DCM - 70:30). After 12 hours, polymer solution (5 mL) was drawn into the syringe and pumped through needles of 0.4 mm internal diameter, at a rate of 0.8 mLh-1, different needle-tip-to-collector distances and voltages, for 10 min. Electrospun fibers micrographies were obtained using the Scanning Electron Microscope for morphological analysis. Results : All voltages showed significant difference (p 0.0001) but at 15 cm beads formation increased significantly (p 0.0001) but in comparison to 15 cm both distances presented significantly difference (p < 0.0001). Conclusion : Thus, it can be concluded that morphology, in chitosan electrospun fibers, is influenced by the voltage and distance and this could describe the mohphological control of these structures. Keywords Chitosan; Fibers; Electrochemical.
An Application of Formal Analysis to Software in a Fault-Tolerant Environment

The paper describes work that represents the culmination of a comprehensive hardware/software modeling and analysis project concerning the Charles Stark Draper Laboratory Fault-Tolerant Processor (FTP). The FTP performs a safety related function at the Integral Fast Reactor (IFR, previously known as the Experimental Breeder Reactor-II) operated by Argonne National Laboratory for the Department of Energy. Previously, we demonstrated the tolerance to hardware failures of data exchange instructions on the FTP (G.H. Chisholm et al., 1987; A.J. Kljaich et al., 1989; A.S. Wojcik et al., 1984; A.S. Wojcik, 1983). We describe a methodology for assuring that the software executing on the FTP is also tolerant to hardware failures. This methodology is based on an abstraction of the program data and control flows in terms of the specification of an abstract application program that operates on the FTP. We then prove the fault tolerance of the abstract application program to hardware and sensor failures. Based on a more detailed specification and analysis of the code that is used in the application software, we demonstrate that this code satisfies the sufficient conditions developed for the abstract application program to claim system fault tolerance.
Stem Cell Trials for Cardiovascular Medicine : Ethical Rationale

Stem cell-based interventions provide new treatment prospects for many disease conditions, including cardiovascular disorders. Clinical trials are necessary to collect adequate evidence on (long-term) safety and efficacy of novel interventions such as stem cells, but the design and launch of clinical trials, from first-in-human studies to larger randomized controlled trials (RCTs), is scientifically and ethically challenging. Stem cells are different from traditional pharmaceuticals, surgical procedures, and medical devices in the following ways: the novelty and complexity of stem cells, the invasiveness of the procedures, and the novel aim of regeneration. These specifics, combined with the characteristics of the study population, will have an impact on the design and ethics of RCTs. The recently closed JUVENTAS trial will serve as an example to identify the (interwoven) scientific and ethical challenges in the design and launch of stem cell RCTs. The JUVENTAS trial has investigated the efficacy of autologous bone marrow cells in end-stage vascular patients, in a double-blind sham-controlled design. We first describe the choices, considerations, and experiences of the JUVENTAS team. Subsequently, we identify the main ethical and scientific challenges and discuss what is important to consider in the design of future stem cell RCTs: assessment of risks and benefits, the choice for outcome measures, the choice for the comparator, the appropriate selection of participants, and adequate informed consent. Additionally, the stem cell field is highly in the spotlight due to the (commercial) interests and expectations. This warrants a cautious pace of translation and scrupulous set up of clinical trials, as failures could put the field in a negative light. At the same time, knowledge from clinical trials is necessary for the field to progress. We conclude that in the scientifically and ethically challenging field of stem cell RCTs, researchers and clinicians have to maneuver between the Skylla of hyper accelerated translation without rigorously conducted RCTs and the Charybdis of the missed opportunity of valuable knowledge.
Nonphotorealistic Virtual Environment Navigation From Images

This paper presents a novel scheme based on a hybrid NPR/IBMR approach, for providing non-photorealistic virtual environment navigation from images. As a preprocess, we first divide the background and the foreground components in the image and then construct a simple 3D scene model consisting of background model and foreground object models, together with the corresponding non-photorealistic texture maps. Thus, through interactive navigation at runtime, non-photorealistic walk-through images for novel viewpoints can be generated in real time. To reduce visual artifacts in the resulting animation, we propose an effective method for generating multiresolution and view-dependent non-photorealistic texture maps that preserve the stroke size and coherence across different viewing resolutions and angles.