Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterisation of Residual Stress due to Fillet Rolling on Bolts Made of a Nickel Base Superalloy

This paper investigates residual stress due to fillet rolling on bolts made of ATI 718Plus® superalloy. Incremental hole drilling, neutron diffraction and neutron transmission have been used to assess residual stress near the bolt head fillet. A compressive residual stress field was identified in the first 0.5 mm from the surface. Post fillet rolling solution anneal can relieve the residual stress at the fillet.
Spike Timing of Distinct Types of GABAergic Interneuron during Hippocampal Gamma Oscillations In Vitro

Gamma frequency (30-100 Hz) network oscillations occur in the intact hippocampus during awake, attentive behavior. Here, we explored the underlying cellular mechanisms in an in vitro model of persistent gamma-frequency oscillations, induced by bath application of 20 μm carbachol in submerged hippocampal slices at 30 ± 1°C. Current-source density analysis of the field oscillation revealed a prominent alternating sink-source pair in the perisomatic and apical dendritic regions of CA3. To elucidate the active events generating these extracellular dipoles, we examined the firing properties of distinct neuron types. Visually guided unit recordings were obtained from individual CA3 neurons followed by intracellular labeling for anatomical identification. Pyramidal cells fired at 2.82 ± 0.7 Hz, close to the negative peak of the oscillation (0.03 ± 0.65 msec), and often in conjunction with a negative spike-like component of the field potential. In contrast, all phase-coupled interneurons fired after this negative peak. Perisomatic inhibitory interneurons fired at high frequency (18.1 ± 2.7 Hz), shortly after the negative peak (1.97 ± 0.95 msec) and were strongly phase-coupled. Dendritic inhibitory interneurons fired at lower frequency (8.4 ± 2.4 Hz) and with less fidelity and a longer delay after the negative peak (4.3 ± 1.1 msec), whereas interneurons with cell body in the stratum radiatum often showed no phase relationship with the field oscillation. The phase and spike time data of individual neurons, together with the current-source density analysis, support a synaptic feedback model of gamma oscillations primarily involving pyramidal cells and inhibitory cells targeting their perisomatic region.
Tactile Displays: Guidance for Their Design and Application

Objective: This article provides an overview of tactile displays. Its goal is to assist human factors practitioners in deciding when and how to employ the sense of touch for the purpose of information representation. The article also identifies important research needs in this area. Background: First attempts to utilize the sense of touch as a medium for communication date back to the late 1950s. For the next 35 years progress in this area was relatively slow, but recent years have seen a surge in the interest and development of tactile displays and the integration of tactile signals in multimodal interfaces. A thorough understanding of the properties of this sensory channel and its interaction with other modalities is needed to ensure the effective and robust use of tactile displays. Methods: First, an overview of vibrotactile perception is provided. Next, the design of tactile displays is discussed with respect to available technologies. The potential benefit of including tactile cues in multimodal interfaces is discussed. Finally, research needs in the area of tactile information presentation are highlighted. Results: This review provides human factors researchers and interface designers with the requisite knowledge for creating effective tactile interfaces. It describes both potential benefits and limitations of this approach to information presentation. Conclusion: The sense of touch represents a promising means of supporting communication and coordination in human-human and human-machine systems. Application: Tactile interfaces can support numerous functions, including spatial orientation and guidance, attention management, and sensory substitution, in a wide range of domains.
Scale optimization for full-image-CNN vehicle detection

Many state-of-the-art general object detection methods make use of shared full-image convolutional features (as in Faster R-CNN). This achieves a reasonable test-phase computation time while enjoys the discriminative power provided by large Convolutional Neural Network (CNN) models. Such designs excel on benchmarks1 which contain natural images but which have very unnatural distributions, i.e. they have an unnaturally high-frequency of the target classes and a bias towards a “friendly” or “dominant” object scale. In this paper we present further study of the use and adaptation of the Faster R-CNN object detection method for datasets presenting natural scale distribution and unbiased real-world object frequency. In particular, we show that better alignment of the detector scale sensitivity to the extant distribution improves vehicle detection performance. We do this by modifying both the selection of Region Proposals, and through using more scale-appropriate full-image convolution features within the CNN model. By selecting better scales in the region proposal input and by combining feature maps through careful design of the convolutional neural network, we improve performance on smaller objects. We significantly increase detection AP for the KITTI dataset car class from 76.3% on our baseline Faster R-CNN detector to 83.6% in our improved detector.
Integration of Fiber-Optic Sensor Arrays into a Multi-Modal Tactile Sensor Processing System for Robotic End-Effectors

With the increasing complexity of robotic missions and the development towards long-term autonomous systems, the need for multi-modal sensing of the environment increases. Until now, the use of tactile sensor systems has been mostly based on sensing one modality of forces in the robotic end-effector. The use of a multi-modal tactile sensory system is motivated, which combines static and dynamic force sensor arrays together with an absolute force measurement system. This publication is focused on the development of a compact sensor interface for a fiber-optic sensor array, as optic measurement principles tend to have a bulky interface. Mechanical, electrical and software approaches are combined to realize an integrated structure that provides decentralized data pre-processing of the tactile measurements. Local behaviors are implemented using this setup to show the effectiveness of this approach.
KsgA, a 16S rRNA adenine methyltransferase, has a novel DNA glycosylase/AP lyase activity to prevent mutations in Escherichia coli

The 5-formyluracil (5-foU), a major mutagenic oxidative damage of thymine, is removed from DNA by Nth, Nei and MutM in Escherichia coli. However, DNA polymerases can also replicate past the 5-foU by incorporating C and G opposite the lesion, although the mechanism of correction of the incorporated bases is still unknown. In this study, using a borohydride-trapping assay, we identified a protein trapped by a 5-foU/C-containing oligonucleotide in an extract from E. coli mutM nth nei mutant. The protein was subsequently purified from the E. coli mutM nth nei mutant and was identified as KsgA, a 16S rRNA adenine methyltransferase. Recombinant KsgA also formed the trapped complex with 5-foU/C- and thymine glycol (Tg)/C-containing oligonucleotides. Furthermore, KsgA excised C opposite 5-foU, Tg and 5-hydroxymethyluracil (5-hmU) from duplex oligonucleotides via a β-elimination reaction, whereas it could not remove the damaged base. In contrast, KsgA did not remove C opposite normal bases, 7,8-dihydro-8-oxoguanine and 2-hydroxyadenine. Finally, the introduction of the ksgA mutation increased spontaneous mutations in E. coli mutM mutY and nth nei mutants. These results demonstrate that KsgA has a novel DNA glycosylase/AP lyase activity for C mispaired with oxidized T that prevents the formation of mutations, which is in addition to its known rRNA adenine methyltransferase activity essential for ribosome biogenesis.
Framework for Modelling User Interest using Augmented Shopping Store

Recently, it has become difficult for consumers to find items of interest because there is such a vast range of items in the modern world. Consumers search the internet or use information devices in a shop to find their desired item in this information society. However, consumers with an unclear idea about what they want or consumers who are weak at using devices have difficulty finding the item they desire, quickly and easily. Therefore a system is needed that provides information regarding items of clear or spontaneous interest to consumers without demanding an unreasonable amount of time from the consumer. This paper proposes a framework of individual interest modelling used to provide information to consumer and support consumer purchases in a store using ubiquitous devices, such as cameras, sensors and displays. This framework shows a modelling mechanism concerning individual interest in items based on data collected through ubiquitous devices. This framework offers the suggestion that three observation views, micro, mezzo and macro, can be utilized to look at human actions towards items of interest in a store through ubiquitous devices. This paper also describes a personalized shopping store using this framework to create a human friendly environment.
MicroRNA-221 Modulates RSV Replication in Human Bronchial Epithelium by Targeting NGF Expression

Background Early-life infection by respiratory syncytial virus (RSV) is associated with aberrant expression of the prototypical neurotrophin nerve growth factor (NGF) and its cognate receptors in human bronchial epithelium. However, the chain of events leading to this outcome, and its functional implications for the progression of the viral infection, has not been elucidated. This study sought to test the hypothesis that RSV infection modulates neurotrophic pathways in human airways by silencing the expression of specific microRNAs (miRNAs), and that this effect favors viral growth by interfering with programmed death of infected cells. Methodology Human bronchial epithelial cells infected with green fluorescent protein-expressing RSV (rgRSV) were screened with multiplex qPCR arrays, and miRNAs significantly affected by the virus were analyzed for homology with mRNAs encoding neurotrophic factors or receptors. Mimic sequences of selected miRNAs were transfected into non-infected bronchial cells to confirm the role of each of them in regulating neurotrophins expression at the gene and protein level, and to study their influence on cell cycle and viral replication. Principal Findings RSV caused downregulation of 24 miRNAs and upregulation of 2 (p<0.01). Homology analysis of microarray data revealed that 6 of those miRNAs exhibited a high degree of complementarity to NGF and/or one of its cognate receptors TrKA and p75NTR. Among the selected miRNAs, miR-221 was significantly downregulated by RSV and its transfection in bronchial epithelial cells maximally inhibited gene and protein expression of NGF and TrKA, increased apoptotic cell death, and reduced viral replication and infectivity. Conclusions/Significance Our data suggest that RSV upregulates the NGF-TrKA axis in human airways by silencing miR-221 expression, and this favors viral replication by interfering with the apoptotic death of infected cells. Consequently, the targeted delivery of exogenous miRNAs to the airways may provide a new strategy for future antiviral therapies based on RNA interference.
Rapid determination of liposome-water partition coefficients (Klw) using liposome electrokinetic chromatography (LEKC).

Liposome Electrokinetic Chromatography (LEKC) provides a simple and facile approach for determining liposome-water partition coefficients, Klw. LEKC is a Capillary Electrophoresis (CE) technique where liposomes are incorporated into a buffer solution and act as a pseudostationary phase providing sites of interaction for solutes. The retention factors of solutes in LEKC are directly proportional to Klw. This article describes how LEKC can be used to determine Klw for both neutral and charged solutes. The Klw values for a group of neutral aromatic compounds, beta-blockers, and other drugs are reported. In addition, the usefulness of two quantitative structure partition relationships (QSPR) for estimation of Klw is demonstrated. One is the logarithmic linear relationship between liposome water and octanol-water partition coefficients (Pow). The other is the Linear Solvation Energy Relationship (LSER). The calculated Klw values from the two QSPR agree nicely with the observed values and with one another.
Coordination in Enterprise Architecting: An Interview Study

Enterprise architecture (EA) models the desired relationships between business processes and technology. While the conceptual benefits of EA are many, experience shows that managing the EA can be daunting because of the complex interdependencies among business, technology and the people involved. Having sound EA frameworks and programs are necessary but insufficient conditions for EA success. Effective coordination and governance of the EA practice are also necessary, but this has received little attention in the literature. In this paper we begin to fill this gap by providing a reference framework, theoretical foundations and preliminary evidence from semi-structured interviews on coordination and governance in "enterprise architecting. "
Detection of Hydrofluoric Acid by a SiO2 Sol-Gel Coating Fiber-Optic Probe Based on Reflection-Based Localized Surface Plasmon Resonance

A novel fiber-optic probe based on reflection-based localized surface plasmon resonance (LSPR) was developed to quantify the concentration of hydrofluoric acid (HF) in aqueous solutions. The LSPR sensor was constructed with a gold nanoparticle-modified PMMA fiber, integrated with a SiO2 sol-gel coating. This fiber-sensor was utilized to assess the relationship between HF concentration and SiO2 sol-gel layer etching reduction. The results demonstrated the LSPR sensor was capable of detecting HF-related erosion of hydrofluoric acid solutions of concentrations ranging from 1% to 5% using Relative RI Change Rates. The development of the LSPR sensor constitutes the basis of a detector with significant sensitivity for practical use in monitoring HF solution concentrations.
A mechanism for biologically-induced iodine emissions from sea-ice

Abstract. Ground- and satellite-based measurements have reported high concentrations of iodine monoxide (IO) in coastal Antarctica. The sources of such a large iodine burden in the coastal Antarctic atmosphere remain unknown. We propose a mechanism for iodine release from sea ice based on the premise that micro-algae are the primary source of iodine emissions in this environment. The emissions are triggered by the biological production of iodide (I−) and hypoiodous acid (HOI) from micro-algae (contained within and underneath sea ice) and their diffusion through sea-ice brine channels, ultimately accumulating in a thin brine layer (BL) on the surface of sea ice. Prior to reaching the BL, the diffusion timescale of iodine within sea ice is depth-dependent. The BL is also a vital component of the proposed mechanism as it enhances the chemical kinetics of iodine-related reactions, which allows for the efficient release of iodine to the polar boundary layer. We suggest that iodine is released to the atmosphere via three possible pathways: (1) emitted from the BL and then transported throughout snow atop sea ice, from where it is released to the atmosphere; (2) released directly from the BL to the atmosphere in regions of sea ice that are not covered with snowpack; or (3) emitted to the atmosphere directly through fractures in the sea-ice pack. To investigate the proposed biology–ice–atmosphere coupling at coastal Antarctica we use a multiphase model that incorporates the transport of iodine species, via diffusion, at variable depths, within brine channels of sea ice. Model simulations were conducted to interpret observations of elevated springtime IO in the coastal Antarctic, around the Weddell Sea. While a lack of experimental and observational data adds uncertainty to the model predictions, the results nevertheless show that the levels of inorganic iodine (i.e. I2, IBr, ICl) released from sea ice through this mechanism could account for the observed IO concentrations during this timeframe. The model results also indicate that iodine may trigger the catalytic release of bromine from sea ice through phase equilibration of IBr. Considering the extent of sea ice around the Antarctic continent, we suggest that the resulting high levels of iodine may have widespread impacts on catalytic ozone destruction and aerosol formation in the Antarctic lower troposphere.
Heart Rate Chaos as a Mortality Predictor in Mild to Moderate Heart Failure

Linear and nonlinear indices of heart rate variability (HRV) have been shown to predict mortality in congestive heart failure (CHF). However, most nonlinear indices describe only the fractality or complexity of HRV but not the intrinsic chaotic properties. In the present study, we performed linear (time- and frequency-domain), complexity (sample entropy), fractal (detrended fluctuation analysis) and chaos (numerical titration) analyses on the HRV of 50 CHF patients from the United Kingdom heart failure evaluation and assessment of risk trial database. Receiver operating characteristic and survival analysis yielded the chaos level to be the best predictor of mortality (followed by low/high frequency power ratio, LF/HF), such that these indices were significant in both univariate and multivariate models. These results indicate the power of heart rate chaos analysis as a potential prognostic tool for CHF.
An efficient scheduler for uplink single carrier FDMA system

In uplink 3GPP Long-Term Evolution(LTE), single-carrier frequency division multiple access(SC-FDMA) is considered partly because of the fact that Peak-to-Average Power Ratio(PAPR) for Multi-Carrier Orthogonal Frequency Division Multiplexing(MC-OFDM) is still a hindrance. But, an unique characteristic of SC-FDMA is that subcarriers have to be assigned by contiguous manner for a specific user, which induces a complicated scheduling algorithm to SC-FDMA because a user is not able to exploit frequency selectivity gain fully. To increase system throughput, we propose a new frequency scheduling method using each user's channel gain difference and a contiguity assigning method. Focused on maximizing the total system capacity of SC-FDMA uplink, we compare our algorithms with others in uplink 3GPP LTE. Simulation results show that our proposed scheme outperforms over the existing schemes.
A Survey on Software Development Support Based on Collaborative Learning Theories

Lots of theories underlying collaborative learning have been proposed. Software development is in nature collaborative activities. Based on the background, studies on software development support and/or analysis of collaborative software development based on collaborative learning theories have emerged. This paper briefly introduces some studies which adopt the theories. We analyze the state-of-the-art of the field.
Prevalence of uropathogen and their antibiotic resistance pattern among diabetic patients.

OBJECTIVE Diabetes mellitus (DM) and antibiotic resistance is an emerging public health problem in Ethiopia. Urinary tract infections (UTIs) are common and occasionally life-threatening condition among diabetic patients. Despite, all these problems, antibiotics are prescribed empirically which may adversely affect antibiotic resistance so far. Therefore the aim of this study was to identify the etiologic agents of UTI and their antibiotic resistance pattern among diabetic patients attending diabetic clinic of Hawassa University Referral Hospital. MATERIAL AND METHODS A cross-sectional study was conducted in a total of 240 diabetic patients from June to October, 2014. After obtaining an informed written consent, socio-demographic and clinical data were collected using pre-structured questionnaire. Clean catch mid-stream urine samples were collected and processed for identification of uropathogen through culture using standard microbiologic procedure. Antibiotic susceptibility test was carried out using Kirby-Bauer disc diffusion method. RESULTS The overall prevalence of diabetic UTI was 13.8%. Out of the total number of patients, 11.2% and 23.1% had asymptomatic and symptomatic bacteriuria respectively. DM patients with no previous history of UTI [AOR=3.55; 95% CI=1.186-10.611] and illiterate [AOR=2.5; 95% CI=1.052-5.989] had higher odds of UTI compared with their counterparts. E. coli was the commonest isolated uropathogen followed by coagulase-negative Staphylococci. All the isolated bacteria were resistant to ampicillin but sensitive to nitrofurantoin. Gram-negative isolates demonstrated high level of resistance to trimethoprim-sulphamethoxazole in 9 (81.8%), gentamicin in 8 (72.7%) and ceftriaxone in 7 (63.6%) patients. Gram-positive bacteria showed resistance to penicillin in 14 (87.5%), norfloxacin in 10 (62.5%) and ciprofloxacin in 8 (50.0%) patients. Multidrug resistance was observed in 93.9% of the isolated uropathogens. CONCLUSION Illiterate DM patients with no previous history of UTI were significantly associated with UTI. Nitrofurantoin can be used as a drug of choice for empiric treatment of UTI in the study area. Multidrug resistance to commonly used antibiotics is an alarming phenomenon. Therefore, performing of urine cultures and periodic surveillance of UTI among DM patients is necessary.
Analyzing center of pressure progression during bed exits

This paper presents a new approach for analyzing center of pressure (COP) progression using pressure data collected from a pressure-sensitive array placed under the bed mattress. Pressure data were collected from a young female participant who was healthy and an older 78 year old female participant who had a history of falls. Information relevant to movement direction, time, path trajectory, magnitude and frequency was presented in three dimensional plots and color differentiated displays. When tested on data collected from an older participant who experienced a fall, this method of analyzing COP was able to illustrate distinct differences in bed exit patterns used pre and post fall episode. This analysis approach shows the potential to detect changes in bed exit patterns indicative of a critical health event. Future applications include home monitoring to assist with early intervention in the event of bed mobility decline.
Simulation-based optimal motion planning for deformable object

This paper presents a method for planning motions of a flexible objects based on precise simulation using Finite Element Method (FEM). The proposed method is applied to ring-shape objects manipulated by robot arms, which is often seen in various applications. Since large deformation is implied, assembly planning with realistic simulation is important to ensure task efficiency for the robot and also to avoid damage of the object. We first verify that the behavior of a ring-shape object by dual-arm manipulation is well predicted using FEM model of bent beam through a simulation along the trajectory computed by optimization-based motion planning previously reported. Next, a precise FEM model is integrated into optimization to compute a trajectory of robot hands minimizing the deformation energy as well as satisfying such criteria as collision avoidance and smoothness. Since the direct computation leads huge computational cost, we present a realistic formula which transforms the planning problem into the static equilibrium problem of several FEM models located along the trajectory. Simulation results show that the proposed method is promising for such assembly tasks requiring large deformation.