Miracle-dz/UniFAR-FTUs huggingface dataset:
An FRAM-Based Nonvolatile Logic MCU SoC Exhibiting 100% Digital State Retention at  ${\rm VDD}=$ 0 V Achieving Zero Leakage With ${<}$ 400-ns Wakeup Time for ULP Applications

This paper presents a nonvolatile logic (NVL)-based 32-b microcontroller system-on-chip (SoC) that backs up its working state (all flip-flops) upon receiving a power interrupt, has zero leakage in sleep mode, and needs less than 400 ns to restore the system state upon power-up. Nonvolatile Fe-Cap-based mini-arrays backup the machine state and allow the chip to wake up instantly after a power cycle. Without NVL, a chip would either have to keep all flip-flops powered, resulting in high standby power, or waste energy and time rebooting after power-up. NVL allows systems to use leakier processes to achieve higher performance/lower dynamic power while still having zero leakage in the sleep mode. Optimized system, architecture, and circuit techniques are presented that make NVL practical by adding only 3.6% to the SoC area. Since nonvolatile elements are added to the SoC, reliability and testability have to be key features of the design. This is the first NVL SoC with measured NVL bitcell read signal margin data and extensive test and debug capabilities. The chip is fabricated in a commercial 130-nm low-leakage process and uses a single 1.5-V power supply.
Descriptions and identifications of strangers by youth and adult eyewitnesses.

Two studies varying target gender and mode of target exposure were conducted to compare the quantity, nature, and accuracy of free recall person descriptions provided by youths and adults. In addition, the relation among age, identification accuracy, and number of descriptors reported was considered. Youths (10-14 years) reported fewer descriptors than adults. Exterior facial descriptors (e.g., hair items) were predominant and accurately reported by youths and adults. Accuracy was consistently problematic for youths when reporting body descriptors (e.g., height, weight) and interior facial features. Youths reported a similar number of descriptors when making accurate versus inaccurate identification decisions. This pattern also was consistent for adults. With target-absent lineups, the difference in the number of descriptors reported between adults and youths was greater when making a false positive versus correct rejection.
Technological Forecasting & Social Change Towards an effective framework for building smart cities : Lessons from Seoul and San Francisco

Article history: Received 1 November 2012 Received in revised form 26 May 2013 Accepted 28 August 2013 Available online 3 October 2013 This study aims to shed light on the process of building an effective smart city by integrating various practical perspectives with a consideration of smart city characteristics taken from the literature. We developed a framework for conducting case studies examining how smart cities were being implemented in San Francisco and Seoul Metropolitan City. The study's empirical results suggest that effective, sustainable smart cities emerge as a result of dynamic processes in which public and private sector actors coordinate their activities and resources on an open innovation platform. The different yet complementary linkages formed by these actors must further be aligned with respect to their developmental stage and embedded cultural and social capabilities. Our findings point to eight ‘stylized facts’, based on both quantitative and qualitative empirical results that underlie the facilitation of an effective smart city. In elaborating these facts, the paper offers useful insights to managers seeking to improve the delivery of smart city developmental projects. © 2013 Elsevier Inc. All rights reserved.
Expressing Emotions as Emoticons for Online Intelligent Agents

Without emotional annotation, online communication can be ambiguous and lead to misunderstandings. This paper addresses the questions of which emotions are commonly expressed online, how these emotions can be encapsulated in emoticons, and how people respond to different emotions. In 10 focus groups with university students we found that some emotions are not frequently expressed online (e.g. aggravation, alienantion and torment), while many others were commonly used (e.g. enthusiasm, anger, amusement, amazement and disgust). Emoticons were drawn or described for nine commonly expressed emotions, and the response discussed. Audience was a key component in how people used emoticons, both for use and interpretation. Participants preferred to 'defuse' negative emotions such as anger and rage with light-hearted comments, supporting previous findings on a positivity bias on many social networks. These findings have implications for online communication and the design of intelligent virtual agents.
Envelope Echo Signal of Metal Sphere in the

— An envelope echo signal measurement is proposed in this paper using echo signal observation from the 200 kHz echo sounder receiver. The envelope signal without any object is compared with the envelope signal of the sphere. Two diameter size steel ball (3.1 cm & 2.2 cm) and two diameter size air filled stainless steel ball (4.8 cm & 7.4 cm) used in this experiment. The target was positioned about 0.5 m and 1.0 meter from the transducer face using nylon rope. From the echo observation in time domain, it is obviously shown that echo signal structure is different between the size, distance and type of metal sphere. The amplitude envelope voltage for the bigger sphere is higher compare to the small sphere and it confirm that the bigger sphere have higher target strength compare to the small sphere. Although the structure signal without any object are different compare to the signal from the sphere, the reflected signal from the tank floor increase linearly with the sphere size. We considered this event happened because of the object position approximately to the tank floor.
Synthesis of omnidirectional movie using a set of key frame panoramic images

We aim to provide an interactive and entertaining environment for users to better enjoy and stay motivated during indoor training. We are now developing a virtual treadmill-based training system that will allow users to experience walking or running around various real scenes. The images are displayed according to the user's speed. We use a set of key frame 360-degree panoramic images on a grid to synthesize, in real-time, an omnidirectional movie for any possible path the user takes. The playback smoothness of the synthesized movie depends on the separation (grid pitch) between key frames. Preliminary experimental results help us determine the largest playback grid pitch without compromising the playback smoothness.
Simulating complex ion channel kinetics with IonChannelLab

In silico simulation based on Markov chains is a powerful way to describe and predict the activity of many transport proteins including ion channels. However, modeling and simulation using realistic models of voltage- or ligand-gated ion channels exposed to a wide range of experimental conditions require building complex kinetic schemes and solving complicated differential equations. To circumvent these problems, we developed IonChannelLab a software tool that includes a user-friendly Graphical User Interface and a simulation library. This program supports channels with Ohmic or Goldman-Hodgkin-Katz behavior and can simulate the time-course of ionic and gating currents, single channel behavior and steady-state conditions. The program allows the simulation of experiments where voltage, ligand and ionic concentration are varied independently or simultaneously.
The effect of a dicalcium phosphate chewing gum on caries incidence in children: 30-month results.

In a 30-month study of the effectiveness of dicalcium phosphate gum in the reduction of dental caries, there was a significant reduction in DFS and DMFS increments in children who chewed sugar-phosphate gum as compared with those in the children who chewed the sugar-containing gum. Significant reductions in caries increment in the sugar-phosphate group compared with the sugar group range from 26 to 37 percent for DF teeth.
High-performance FPGA filters using sigma-delta modulation encoding

This paper investigates an architectural option for constructing high sample-rate narrow-band single rate and multi-rate filters using Xilinx field programmable gate array (FPGA) technology. Sigma-delta modulation encoding is applied to the input data in order to effect a reduction in the precision of the arithmetic units in the filter. This is done without compromising the signal integrity within the band of interest. The implementation provides a significant savings in device logic resources in comparison to other techniques that provide the same functionality. The sigma-delta preprocessor is described and its implementation using XC4000 FPGAs is reported. The architecture of the reduced precision filter is presented and its FPGA realization described.
Triceps Tendon Ruptures: A Systematic Review

Background: Triceps tendon ruptures (TTR) are an uncommon injury. The aim of this systematic review was to classify diagnostic signs, report outcomes and rerupture rates, and identify potential predisposing risk factors in all reported cases of surgical treated TTR. Methods: A literature search collecting surgical treated cases of TTR was performed, identifying 175 articles, 40 of which met inclusion criteria, accounting for 262 patients. Data were pooled and analyzed focusing on medical comorbidities, presence of a fleck fracture on the preoperative lateral elbow x-ray film (Dunn-Kusnezov Sign [DKS]), outcomes, and rerupture rates. Results: The average age of injury was 45.6 years. The average time from injury to day of surgery was 24 days while 10 patients had a delay in diagnosis of more than 1 month. Renal disease (10%) and anabolic steroid use (7%) were the 2 most common medical comorbidities. The DKS was present in 61% to 88% of cases on the lateral x-ray film. Postoperatively, 89% of patients returned to preinjury level of activity, and there was a 6% rerupture rate at an average follow-up of 34.6 months. The vast majority (81%) of the patients in this review underwent repair via suture fixation. Conclusions: TTR is an uncommon injury. Risks factors for rupture include renal disease and anabolic steroid use. Lateral elbow radiographs should be scrutinized for the DKS in patients with extension weakness. Outcomes are excellent following repair, and rates of rerupture are low.
Emerging anxiolytics

Anxiety disorders are the most common of the psychiatric disorders and are also associated with significant economic costs and impaired work productivity. The first-line pharmacotherapy of pharmatherapy for a number of anxiety disorders comprises selective serotonin re-uptake inhibitors (SSRIs) and serotonin and noradrenaline re-uptake inhibitors (SNRIs). Benzodiazepines are still widely used for the treatment of several anxiety disorders. Although these agents are effective, many patients are treatment-refractory and more effective, better tolerated medications are required. This paper discusses the understandings of mechanisms involved in the anxiety disorders and reviews emerging medications. Mechanisms underlying the use of d-cycloserine, second generation antipsychotics and β-blockers are particularly exciting.
Thin-section CT obtained at 10-mm increments versus limited three-level thin-section CT for idiopathic pulmonary fibrosis: correlation with pathologic scoring.

OBJECTIVE The purpose of our study was to determine if three-level thin-section CT depicts idiopathic pulmonary fibrosis (IPF) pathology as accurately as CT obtained at 10-mm increments throughout the entire lungs. SUBJECTS AND METHODS Thin-section (1.0- to 1.5-mm) images at 10-mm increments were obtained and scored prospectively in 25 consecutive patients with newly diagnosed IPF who were participating in a Special Center of Research grant for interstitial lung disease. Each patient's lobe was scored by four thoracic radiologists on a scale of 0-5 for both ground-glass attenuation and fibrosis. The radiologists used three images (limited CT) and also used the entire data set (complete CT). CT scores were compared with pathology scores from 67 open and thoracoscopic biopsies. Limited and complete scores were compared with each other (Pearson correlation coefficient). Interobserver variation in the CT scoring system was assessed using kappa values. RESULTS CT fibrosis scores strongly correlated with pathology fibrosis scores for complete (r = .53, p = .0001) and limited (r = .50, p = .0001) CT. CT ground-glass scores correlated with the histologic inflammatory scores for each lobe on complete (r = .27, p = .03) and limited (r = .26, p = .03) CT. The desquamative subcomponent of the pathology inflammatory score had the highest correlation with the CT ground-glass scores (complete: r = .29, p = .01; limited: r = .33, p = .007). Good interobserver agreement existed for both the alveolar and fibrosis components of the CT scoring system (kappa values ranging from .51 to .83) for each lobe of the lung on limited and complete CT. CONCLUSION Limited thin-section CT reveals the pathologic changes associated with IPF as well as CT obtained at 10-mm increments. An added advantage of limited thin-section CT is that it exposes patients to less radiation.
A study on algorithms of pupil diameter measurement

Pupillary changes can be used to detect human condition. Several studies on pupillary changes were carried out in order to study human emotions such as annoyance, stress, and reactions when viewing pleasant or unpleasant images, or seeing exciting products. A person's emotions can also be detected from pupil diameter when solving math problems using samples or independently. In medical field, pupil diameter can also be used to support doctor's decision for early detection of diabetes. The steps to measure pupil diameter include eye detection, pupil detection, and pupil diameter measurement. This paper discusses several eye detection methods, pupil detection methods and pupil diameter measurements using image processing algorithms. This paper also conducted an experiment by measuring pupil diameter using a simple method. The paper contribute a reference of algorithms that can be used by researchers for measuring pupil diameter to detect users' emotions and measure workload.
Recurrent giant cell fibroblastoma: Malignancy predisposition in Kabuki syndrome revisited

Kabuki syndrome is a genetic condition characterized by distinctive facial phenotype, mental retardation, and internal organ malformations. Mutations of the epigenetic genes KMT2D and KDM6A cause dysregulation of certain developmental genes and account for the multiple congenital anomalies of the syndrome. Eight cases of malignancies have been reported in young patients with Kabuki syndrome although a causative association to the syndrome has not been established. We report a case of a 12‐year‐old girl with Kabuki syndrome who developed a tumor on the right side of her neck. A relapsing tumor 19 months after initial excision, proved to be giant cell fibroblastoma. Τhis is the first report of giant cell fibroblastoma ‐a rare tumor of childhood‐ in a patient with Kabuki syndrome. © 2016 Wiley Periodicals, Inc.
Molecular Basis of Leukocyte Rolling on PSGL-1

Interactions between the leukocyte adhesion receptor L-selectin and P-selectin glycoprotein ligand-1 play an important role in regulating the inflammatory response by mediating leukocyte tethering and rolling on adherent leukocytes. In this study, we have examined the effect of post-translational modifications of PSGL-1 including Tyr sulfation and presentation of sialylated and fucosylated O-glycans for L-selectin binding. The functional importance of these modifications was determined by analyzing soluble L-selectin binding and leukocyte rolling on CHO cells expressing various glycoforms of PSGL-1 or mutant PSGL-1 targeted at N-terminal Thr or Tyr residues. Simultaneous expression of core-2 β1,6-N-acetylglucosaminyltransferase and fucosyltransferase VII was required for optimal L-selectin binding to PSGL-1. Substitution of Thr-57 by Ala but not of Thr-44, strongly decreased L-selectin binding and leukocyte rolling on PSGL-1. Substitution of Tyr by Phe revealed that PSGL-1 Tyr-51 plays a predominant role in mediating L-selectin binding and leukocyte rolling whereas Tyr-48 has a minor role, an observation that contrasts with the pattern seen for the interactions between PSGL-1 and P-selectin where Tyr-48 plays a key role. Molecular modeling analysis of L-selectin and P-selectin interactions with PSGL-1 further supported these observations. Additional experiments showed that core-2O-glycans attached to Thr-57 were also of critical importance in regulating the velocity and stability of leukocyte rolling. These observations pinpoint the structural characteristics of PSGL-1 that are required for optimal interactions with L-selectin and may be responsible for the specific kinetic and mechanical bond properties of the L-selectin-PSGL-1 adhesion receptor-counterreceptor pair.
Modeling the spread of spatio-temporal phenomena through the incorporation of ANFIS and genetically controlled cellular automata: a case study on forest fire

Abstract Virtual representation and simulation of spatio-temporal phenomena is a promising goal for the production of an advanced digital earth. Spread modeling, which is one of the most helpful analyses in the geographic information system (GIS), plays a prominent role in meeting this objective. This study proposes a new model that considers both aspects of static and dynamic behaviors of spreadable spatio-temporal in cellular automata (CA) modeling. Therefore, artificial intelligence tools such as adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm (GA) were used in accordance with the objectives of knowledge discovery and optimization. Significant conditions in updating states are considered so traditional CA transition rules can be accompanied with the impact of fuzzy discovered knowledge and the solution of spread optimization. We focused on the estimation of forest fire growth as an important case study for decision makers. A two-dimensional cellular representation of the combustion of heterogeneous fuel types and density on non-flat terrain were successfully linked with dynamic wind and slope impact. The validation of the simulation on experimental data indicated a relatively realistic head-fire shape. Further investigations showed that the results obtained using the dynamic controlling with GA in the absence of static modeling with ANFIS were unacceptable.
Ordering and visualisation of many-objective populations

In many everyday tasks it is necessary to compare the performance of the individuals in a population described by two or more criteria, for example comparing products in order to decide which is the best to purchase in terms of price and quality. Other examples are the comparison of universities, countries, the infrastructure in a telecommunications network, and the candidate solutions to a multior many-objective problem. In all of these cases, visualising the individuals better allows a decision maker to interpret their relative performance. This thesis explores methods for understanding and visualising multiand many-criterion populations. Since people cannot generally comprehend more than three spatial dimensions the visualisation of many-criterion populations is a non-trivial task. We address this by generating visualisations based on the dominance relation which defines a structure in the population and we introduce two novel visualisation methods. The first method explicitly illustrates the dominance relationships between individuals as a graph in which individuals are sorted into Pareto shells, and is enhanced using many-criterion ranking methods to produce a finer ordering of individuals. We extend the power index, a method for ranking according to a single criterion, into the many-criterion domain by defining individual quality in terms of tournaments. The second visualisation method uses a new dominance-based distance in conjunction with multi-dimensional scaling, and we show that dominance can be used to identify an intuitive low-dimensional mapping of individuals, placing similar individuals close together. We demonstrate that this method can visualise a population comprising a large number of criteria. Heatmaps are another common method for presenting high-dimensional data, however they suffer from a drawback of being difficult to interpret if dissimilar individuals are placed close to each other. We apply spectral seriation to produce an ordering of individuals and criteria by which the heatmap is arranged, placing similar individuals and criteria close together. A basic version, computing similarity with the Euclidean distance, is demonstrated, before rank-based alternatives are investigated. The procedure is extended to seriate both the parameter and objective spaces of a multi-objective population in two stages. Since this process describes a trade-off, favouring the ordering of individuals in one space or the other, we demonstrate methods that enhance the visualisation by using an evolutionary optimiser to tune the orderings.
Evacuation problems and dynamic network flows

We report our recent work about basic studies on crisis management systems for reliable communication/transportation network design and evacuation guidance of residents against large-scale disasters. We survey recent developments in modeling of evacuation problems and consider an evacuation problem in tree networks and flows such that all the supplies going through a common vertex are sent to a single sink, since everyone has to evacuate fairly and without confusion. We show that the evacuation problem can be solved in polynomial time if the number of sinks is bounded by some constant.
Classification, Morphology, Molecular Pathogenesis, and Outcome of Premalignant Lesions of the Pancreas.

CONTEXT - Invasive pancreatic ductal adenocarcinoma has a greater than 90% mortality rate at 5 years. Understanding noninvasive, curable precursor lesions gives us the best hope for reducing mortality from pancreatic ductal adenocarcinoma. The 3 pancreatic precursor lesions that have been well studied include intraductal papillary mucinous neoplasm, mucinous cystic neoplasm, and pancreatic intraepithelial neoplasia. OBJECTIVE - To give an update on the latest clinical, molecular, and pathologic advances in intraductal papillary mucinous neoplasm, mucinous cystic neoplasm, and pancreatic intraepithelial neoplasia for the general surgical pathologist. DATA SOURCES - The current literature was analyzed and the authors' experiences with institutional and consult material were incorporated. CONCLUSIONS - Our understanding of the molecular alterations that lead from pancreatic precursor lesion to invasive carcinoma continues to evolve. These advances aid clinicians in their treatment decisions and researchers in their search for actionable, druggable targets.
Necessity of the consideration of strategic aspects in variant decisions of modular product architectures

The trend of today's companies to reverse the threat of an increasing complexity, resulting from globalization effects, customer requests for individualization or shorter product life cycles, by a modular product architecture, can be observed more and more often. However, the concept of an alternative type of product structuring is novelty for many businesses. The risk of a recurring upsurge in complexity, when refining the implemented modular product architecture is high. This is due to an insufficiently planned and executed reutilization of the existing and newly developed modules and module variants. The solution is the early consideration of all relevant strategic aspects on module or module variant decisions. Therefore, an approach to collect these strategies and to visualize them in the strategy-contribution-map has been developed and tested at Bosch Thermotechnology. Additionally, the subsequent deployment of this method is presented and discussed.