Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying the Safety Profile of Ad5.SSTR/TK.RGD, a Novel Infectivity-Enhanced Bicistronic Adenovirus, in Anticipation of a Phase I Clinical Trial in Patients with Recurrent Ovarian Cancer

Purpose: The purpose of this study was to evaluate the biodistribution and toxicity of Ad5.SSTR/TK.RGD, an infectivity-enhanced adenovirus expressing a therapeutic suicide gene and somatostatin receptor type 2 (for noninvasive assessment of gene transfer with nuclear imaging) in advance of a planned phase I clinical trial for recurrent ovarian carcinoma. Experimental Design: Cohorts of Syrian hamsters were treated i.p. for 3 consecutive days with Ad5.SSTR/TK.RGD or control buffer with or without the prodrug ganciclovir (GCV) and euthanized on day 4, 19, or 56. Tissue and serum samples were evaluated for the presence of virus using qPCR analysis and were assessed for vector-related tissue or laboratory effects. Results: Levels of Ad5.SSTR/TK.RGD in blood and tissues outside of the abdominal cavity were low, indicating minimal systemic absorption. GCV did not affect Ad5.SSTR/TK.RGD biodistribution. The mean Ad5.SSTR/TK.RGD viral level was 100-fold lower on day 19 than day 4, suggesting vector elimination over time. Animals in the Ad5.SSTR/TK.RGD ± GCV cohort had clinical laboratory parameters and microscopic lesions in the abdominal organs indicative of an inflammatory response. Toxicity in this dose cohort seemed to be reversible over time. Conclusions: These studies provide justification for planned dosing of Ad5.SSTR/TK.RGD for a planned phase I clinical trial and insights regarding anticipated toxicity.
Adaptive Distributed Convolutional Neural Network Inference at the Network Edge with ADCNN

The emergence of the Internet of Things (IoT) has led to a remarkable increase in the volume of data generated at the network edge. In order to support real-time smart IoT applications, massive amounts of data generated from edge devices need to be processed using methods such as deep neural networks (DNNs) with low latency. To improve application performance and minimize resource cost, enterprises have begun to adopt Edge computing, a computation paradigm that advocates processing input data locally at the network edge. However, as edge nodes are often resource-constrained, running data-intensive DNN inference tasks on each individual edge node often incurs high latency, which seriously limits the practicality and effectiveness of this model. In this paper, we study the problem of distributed execution of inference tasks on edge clusters for Convolutional Neural Networks (CNNs), one of the most prominent models of DNN. Unlike previous work, we present Fully Decomposable Spatial Partition (FDSP), which naturally supports resource heterogeneity and dynamicity in edge computing environments. We then present a compression technique that further reduces network communication overhead. Our system, called ADCNN, provides up to 2.8 × speed up compared to state-of-the-art approaches, while achieving a competitive inference accuracy.
Memory-Centric Communication Mechanism for Real-time Autonomous Navigation Applications

There has been a remarkable increase in the speed of AI development over the past few years. Artificial intelligence and deep learning techniques are blooming and expanding in all forms to every sector possible. With the emerging intelligent autonomous navigation systems, both memory allocation and data movement are becoming the main bottlenecks in inter-process communication procedures, especially in supporting various types of messages between multiple programming languages. To reduce significant memory allocation and data movement cost, we propose a novel memory-centric mechanism, which includes a virtual layer based architecture and a pre-record memory allocation algorithm. Furthermore, we implement a memory-centric communication framework named Z-framework based on the proposed mechanism to achieve high efficient IPC procedures in autonomous navigation systems. Experimental results show that Z-framework is able to gain up to 41% and 35% performance improvement compared with the approach used in ROS2, which is an industry standard and the state-of-the-art approach used in CyberRT, respectively.
Si photonic nano-wire tunble micro-ring resonator composed of triply-liked variable couplers

A tunable Si photonic nano-wire (320nm-wide, 340nm-thick) waveguide micro-ring resonator composed of triply-linked variable couplers (two are for wavelength tuning and one is for bus-line coupling) is proposed. The roundtrip optical path of the micro-ring is modulated by the displacement of coupler waveguide with an ultra-small comb-drive actuator. In addition, the coupling between the micro-ring and a bus-line waveguide is also controlled by a gap-variable waveguide coupler with another actuator. Therefore, the proposed tunable micro-ring can be operated as an ultra-small wavelength-selective-switch with a wavelength-hitless mechanism for Si on-chip telecommunication system. Principle, design and fabrication are presented. The characteristics of the proposed device are measured in 1. 5μm fiber optic telecommunication wavelength region. The wavelength tuning range is 10.0nm for the actuator displacement of 1. 0μm at the voltage of 37.3V.
Privacy-Preserving Outsourced Similarity Search

The general trend in data management is to outsource data to 3rd party systems that would provide data retrieval as a service. This approach naturally brings privacy concerns about the (potentially sensitive) data. Recently, quite extensive research has been done on privacy-preserving outsourcing of traditional exact-match and keyword search. However, not much attention has been paid to outsourcing of similarity search, which is essential in content-based retrieval in current multimedia, sensor or scientific data. In this paper, the authors propose a scheme of outsourcing similarity search. They define evaluation criteria for these systems with an emphasis on usability, privacy and efficiency in real applications. These criteria can be used as a general guideline for a practical system analysis and we use them to survey and mutually compare existing approaches. As the main result, the authors propose a novel dynamic similarity index EM-Index that works for an arbitrary metric space and ensures data privacy and thus is suitable for search systems outsourced for example in a cloud environment. In comparison with other approaches, the index is fully dynamic (update operations are efficient) and its aim is to transfer as much load from clients to the server as possible.
Neuropathic pain of peripheral origin

A variety of mechanisms may generate pain resulting from injury to the peripheral nervous system.None of these mechanisms is disease-specific, and several different pain mechanisms may be simultaneously present in any one patient, independent of diagnosis. Diagnosis of neuropathic pain is often easily made from information gathered on neurologic examination and from patient history. Evidence of sensory disturbances elicited on examination combined with laboratory tests confirming injury to peripheral nerve establishes the diagnosis of neuropathic pain. Although treatment of neuropathic pain may be difficult, optimum treatment can be achieved if the neurologist has a complete understanding of the therapeutic options, the mainstay of which is pharmacotherapy. Selection of an appropriate pharmacologic agent is by trial and error since individual responses to different agents, doses, and serum levels are highly variable. An adequate trial for each agent tried is key to pharmacologic treatment of neuropathic pain. Tricyclic antidepressants are first-line agents, although other drugs, including anticonvulsants, local anesthetic antiarrhythmics, clonidine, opioids, and certain topical agents, also offer pain relief in some patient populations. The novel antidepressants venlafaxine and nefazodone are potentially useful new drugs that are better tolerated than tricyclic antidepressants. NEUROLOGY 1995;45(suppl 9): S17-S25
Parametric Verification of the Class of Stop-and-Wait Protocols

ion 5.1 (Data Independence). Data is ignored. From the discussion in Section 5.2. 2, the SWP is independent of the data it transmits, and the properties we wish to verify do not relate to data. Hence, data does not need to be modelled. (All elements of data are abstracted to a single element of data, and hence does not need to be modelled.) Abstraction 5.2 (One Sender, One Receiver). Only one sender and one receiver is considered.ion 5.2 (One Sender, One Receiver). Only one sender and one receiver is considered. In a single session each message (acknowledgement) sent by the sender (receiver) will only ever have one possible destination. Hence, this is a generic representative of any session of the SWP and removes the need to model an addressing mechanism in both the sender and receiver entities. These two abstractions allow each message and acknowledgement to be modelled by just its sequence number. Abstraction 5.3 (Protocol Users). The users of this protocol are not explicitly modelled.ion 5.3 (Protocol Users). The users of this protocol are not explicitly modelled. The users, and the explicit communication between user and protocol, do not need to be modelled. It suffices for the Send and non-duplicate Receive actions of the protocol to be considered as synchronised communication with the users. We assume that data is ready to be sent by the sender user each time a Send action occurs, and that data is passed to the receiver user each time a non-duplicate receive action occurs. As mentioned in Section 4.3, the reporting of errors to the sender user (e.g. [144]) or both users (e.g. [3]) is not considered. Abstraction 5.4 (Retransmission Timer). The retransmission timer at the sender is modelled implicitly.ion 5.4 (Retransmission Timer). The retransmission timer at the sender is modelled implicitly. We only need to model the event of the retransmission timer expiring, not the timer itself. Hence, expiry of the retransmission timer is modelled by the action that retransmits a message. Abstraction 5.5 (Channel Characteristics). The underlying channel is lossy and in-order (FIFO), and has an unbounded capacity.ion 5.5 (Channel Characteristics). The underlying channel is lossy and in-order (FIFO), and has an unbounded capacity. In practice it may be difficult or impossible to determine a bound on the underlying channel capacity. By modelling the underlying channel with an unbounded capacity it is possible to determine whether a structural bound on the number of messages and acknowledgements is imposed by the protocol itself, and if so, what capacity the underlying channels must have in a practical implementation of the protocol.
Toward an Understanding of the Influences of Meaningful Framing on User Participation in a Gamified Information System

Gamification with meaningful framing is a diegetic gamification approach that goes beyond points, badges, and leaderboards. Diegesis – the notion of connecting elements of the game, including tasks, narratives and stories – can help to imbue even very work-centric games with fantasy and a meaningful framing. This study proposes to investigate the influences of such meaningful framing, including meaningful framing of the game and the meaningful framing of the task, on users’ participation in a gamified information system. We apply the S-O-R framework to construct interrelationships among a story-based game environment, user engagement, and player behaviors and propose a research model with hypotheses. We aim to uncover the role of story-based gamification in information systems research and encourage more research investigations in this direction.
Computer-assisted animation of line and paint in Disney's Paperman

We present a system which allows animators to combine CG animation's strengths -- temporal coherence, spatial stability, and precise control -- with traditional animation's expressive and pleasing line-based aesthetic. Our process begins as an ordinary 3D CG animation, but later steps occur in a light-weight and responsive 2D environment, where an artist can draw lines which the system can then automatically move through time using vector fields derived from the 3D animation, thereby maximizing the benefits of both environments. Unlike with an automated "toon-shader", the final look was directly in the hands of the artists in a familiar workflow, allowing their artistry and creative power to be fully utilized. This process was developed during production of the short film Paperman at Walt Disney Animation Studios, but its application is extensible to other styles of animation as well.
Anatomy and function of the cetacean ear

At the present time the sounds emitted by cetaceans and consequently their sense of hearing are the subject of a considerable amount of investigation. The remarks that follow are in anticipation of a more detailed account of the cetacean ear which the writers have completed for the Bulletin of the British Museum (Natural History). In order to clarify the hypothesis arrived at, a brief summary of the anatomical features involved is necessary (in connexion with which reference to figures 88 to 90, plates 10 and 11 should be made). The external auditory m eatus is a continuous narrow tube in the toothed cetaceans (figure 88). In the whalebone whales (figure 89) it is usually closed for some p art of its length im mediately internal to the blubber layer, The m eatus is lined by a pigmented extension of the epidermis. Surrounding the fining layer is a fibro-elastic sheath, the fibres of which run predom inantly along the length of the meatus. Surrounding this sheath again is a fibro-cellular structure in which a thin stratum of circular constrictor muscles has been observed. Enveloping the whole of this area and adhering to the bones is a great mass of dense, white fibrous tissue about 30 cm in thickness with tough, unyielding fibres forming a close randomly orientated reticulum throughout the entire mass. The meatus is thus enclosed in a tunnel formed dorsally of bone and ventrally of white fibrous tissue.
SHORT-CIRCUITING OF THREAT BY EXPERIMENTALLY ALTERING COGNITIVE APPRAISAL.

Previous research has shown that film-induced threat could be reduced by appropriately designed narratives or sound tracks based on ego-defense theory. This study demonstrated that such a narrative, based on the concepts of denial and reaction formation, is even more effective if presented as an introductory statement before the film begins. It significantly reduced both physiological and self-report evidence of stress reaction. Moreover, the amount of stress reaction and the capacity of the narrative to reduce stress reaction depended upon personality. Ss high in disposition to deny threat as measured by various MMPI scales did indeed deny affective disturbance more than low deniers, while showing greater autonomic evidence of stress reaction. (PsycINFO Database Record (c) 2006 APA, all rights reserved)
Growth parameters of discordant preterm twins during the first year of life

Abstract Objective: To evaluate and compare growth parameters (weight, length and head circumference) of discordant preterm twins during the first year of life. Methods: Retrospective data were collected on 78 pairs of >10% discordant preterm twins. Data regarding short-term neonatal outcome were recorded. Growth parameters were recorded at birth and again at 1 year of age, as collected by phone interview. Results: At 1 year of age, the gap was significantly reduced between the group of smaller twins and the group of larger twins on all the parameters studied. Discordance in weight decreased from a mean of 22% at birth (calculated from the weight of the larger twin) to 8.9%, in length from 6.5% to 2.5% and in head circumference from 5.5% to 1.3% at 1 year of age. While length and head circumference (HC) z-scores improved in both the large and the small siblings, weight z-score decreased significantly among the large twins and decreased mildly among the small twins. Conclusions: The gaps in growth parameters between the smaller twins of preterm discordant twins and their larger siblings are significantly reduced during the first year of life. The impact of the differential growth patterns between the two siblings should be further evaluated.
Immunomodulation by mesenchymal stem cells and clinical experience

Mesenchymal stem cells (MSCs) from adult marrow can differentiate in vitro and in vivo into various cell types, such as bone, fat and cartilage. MSCs preferentially home to damaged tissue and may have therapeutic potential. In vitro data suggest that MSCs have low inherent immunogenicity as they induce little, if any, proliferation of allogeneic lymphocytes. Instead, MSCs appear to be immunosuppressive in vitro. They inhibit T‐cell proliferation to alloantigens and mitogens and prevent the development of cytotoxic T‐cells. In vivo, MSCs prolong skin allograft survival and have several immunomodulatory effects, which are presented and discussed in the present study. Possible clinical applications include therapy‐resistant severe acute graft‐versus‐host disease, tissue repair, treatment of rejection of organ allografts and autoimmune disorders.
On asymmetric reserve prices

We investigate equilibrium bidding in first-price auctions with asymmetric reserve prices. For example, the auctioneer may set a low reserve price for one subset of bidders and a high reserve price for others. When used to pursue a distributional objective, lowering the reserve price for some bidders channels benefits toward marginal agents in the favored group and does not adversely impact non-favored bidders whose reserve price is unchanged. Even in symmetric environments, when the valuation distribution is not regular, introducing asymmetric reserve prices can increase the auctioneer's revenue compared to an optimal common reserve price. Implications for auction design are considered.
Effect of compensation procedures for velocity on repeatability and variability of gait parameters in normal subjects

Objective: To evaluate the effects of a mathematical procedure that adjusts for gait velocity on the variability seen in gait analysis. Design: Evaluation before and after compensation. Setting: Gait laboratory, Fukui University Hospital, Japan. Subjects: Fourteen normal volunteers. Outcome measures: A computerized gait analysis system with two forceplates and a light source spot measuring device was used. Gait measurement in each subject was performed on three different days. Results: The gait parameters measured on three different days were significantly different, particularly step length, stride length, velocity, the components of floor-reaction forces and hip motion. In these parameters, intraclass correlation coefficient, ICC (1,1) was not high (range 0.05-0.71). However, there was a high correlation between these parameters and velocity and high repeatability was obtained following compensation for velocity (ICC (1,1), range 0.73-0.97). In contrast, compensation of parameters whose measurement was not significantly different before compensation did not improve ICC (1,1). Variability of all parameters was acceptable, however CV (an index of variability) improved significantly after compensation compared with that before compensation in six of 15 parameters. Conclusions: Our findings suggest that low repeatability in gait parameters should be considered even when the gait of normal subjects is measured on different days. A high repeatability and more acceptable variability were obtained when the data were compensated for velocity.
Novel Winding and Core Design for Maximum Reduction of Harmonic Magnetomotive Force in AC Motors

The familiar method for reducing the space harmonic content of the magnetomotive force (MMF) produced by a distributed polyphase ac winding is by chording, although by itself this can eliminate only one of the major low-order harmonics. Other techniques are available that can further reduce the harmonic content, although these all require a more complex winding arrangement. This paper presents a novel approach by which the winding harmonics can be even further reduced. In addition to altering the winding layout, the method employs an unconventional slotting pattern. The layout and the slot layout are both optimized to produce an MMF distribution that contains fewer harmonics than any conventional arrangement, while still preserving a high fundamental winding factor. The paper presents an example of the new technique in the design of a squirrel cage induction motor, and compares important features of the design with those of a standard machine. It summarizes the advantages and disadvantages of the novel approach.
A Review of Intrusion Detection Technique using Various Technique of Machine Learning and Feature Optimization Technique

Cyber’ terrorism has recently been said to be the biggest threat to our modern society. Every day a new cyber-scare story makes the headlines. The national government recognizes the importance of cyber security, as several officials have made clear in the past few years “Cyber security is among the most serious economic and national security challenges we will face in the 21st Century, we face a long-term challenge in cyberspace from foreign intelligence agencies and militaries, criminals, and others, and, this struggle will wreak serious damage on the economic health and national security. for the prevention and detection of cyber terrorism used intrusion detection system, intrusion detection system detect illegal behaviour of network over data. in current research trend performance of intrusion detection system is important issue. Now various authors’ used machine learning and feature optimization technique for intrusion detection system. Machine learning technique is collection of all learning algorithm such as classification, clustering and regression. for the improvement of machine learning technique used feature optimization technique. In this paper presents review of intrusion detection technique using machine learning and feature optimization process.