Miracle-dz/UniFAR-FTUs huggingface dataset:
Capturing advance demand information from project delivery networks for demand supply planning

This work reports an explorative study on the front-end of demand planning in project business, conducted for an international mobile telecom equipment supplier. The main research question of the study is: How can advance demand information be captured from project delivery networks for demand supply planning? Advance demand information is defined as any information beyond orders. The theory review addresses the research question by combining ideas from the fields of project management and supply chain management contributing to, among other things, a better understanding of project delivery networks and project-based demand. The empirical study describes how advance demand information is captured from the project delivery network in the execution phase of two telecommunications infrastructure projects. The emphasis is on the local context, the sources and quality of advance demand information and access to it, and, the collaborative processes in place for capturing it. The research method used in the study is inductive multiple-case study. The key data consists of 17 semi-structured interviews carried out in two projects in the United Kingdom and the United States. The main interview data was complemented with several pre-interviews, internal documentation, observation, workshops and various quantitative planning data. Both within and cross-case analyses were conducted. The main results of the research are two rich case descriptions and several propositions, arising from the current state analysis, for development and further research. A systematic and visual framework for mapping demand collection was built in the research process. In the two cases, it could be observed that the situations in the field can be highly diverse in terms of e.g. local institutional settings, the end product, project supply chain configuration, customersupplier relationship, and the competitive situation, which implies a need for segmentation and customized value offerings. This study addresses this need by introducing a managerial framework for identifying appropriate demand-supply chain designs for varying demand visibility situations in projects. Despite the differences in the cases, also patterns could be identified. For instance, it seems that the overarching hurdle or enabler for capturing any advance demand information is that of incentive alignment between partners.
Real-Time Embedded Implementation of Adaptive Beamforming for Medical Ultrasound Imaging

Medical ultrasound diagnoses have been applied to a variety of clinical occasions for years. Recently, with the increasing needs for mobile and portable medical diagnoses, the development of medical ultrasound imaging algorithms on embedded platforms is flourishing. Among various medical ultrasound imaging algorithms, the typical delay-and-sum beamforming algorithm is a simple algorithm which is easy to realize a real-time embedded imaging implementation. However, this beamforming algorithm has relatively low image quality. As such, the implementation of high-quality minimum-variance adaptive beamforming algorithm for medical ultrasound imaging was studied on heterogeneous embedded computing platform which contained a high-performance embedded GPU. By applying the efficient implementation strategies, the embedded GPU implementation of the adaptive beamforming algorithm performed more than 100 times faster than its ARM processor implementation counterpart. Furthermore, scalability and power consumption of the embedded adaptive beamforming implementation were also evaluated, which demonstrated that the heterogeneous embedded computing platform utilized in this paper was suitable for a real-time mobile or portable high-quality medical ultrasound imaging device construction.
Image-Based Video Retrieval Using Deep Feature

In this paper, we focus on retrieving video by an image querying. Current approaches involve extracting hand- craft features from each key-frame of videos, which is memory cost. We propose to use deep feature deriving from deep neural network to tackle this issue. Specifically, deep feature is employed to detect shots consisting of similar key-frames and represent them by different aggregation strategies, which can avoid saving redundant key-frames of videos. In addition, to discount the contribution of background, we propose a two-way localization approach, which searches the best matched regions between query and video key-frames. Then, the updated similarity built upon the best matched regions is utilized to re-rank initial retrieval results for further refinement. Experimental results over the public CNN2h dataset demonstrate the effectiveness of the proposed approach.
Classification of lupus nephritis

Purpose of reviewLupus nephritis manifests as diverse patterns of immune complex-mediated renal disease affecting glomerular, tubulointerstitial, and vascular compartments. This review will focus on the most recent classification, the ‘International Society of Nephrology/Renal Pathology Society (ISN/RPS) 2003 Classification of Lupus Nephritis’, and will briefly discuss other types of renal disease seen in patients with systemic lupus erythematosus. Recent findingsThe ISN/RPS 2003 Classification of lupus nephritis includes multiple changes from its predecessors, most notably removal of the subclasses of lupus nephritis class V (i.e. Va–Vd), elimination of the normal category (WHO class I), clearer definitions for all classes, a standard approach to sclerotic glomeruli, and the division of lupus nephritis class IV into subcategories based on whether the endocapillary involvement is predominantly segmental (lupus nephritis IV-S) or global (lupus nephritis IV-G). These changes have led to a higher level of interobserver reproducibility and a significant increase in the number of cases of class IV, with a reciprocal decline in lupus nephritis class III and lupus nephritis class V. Multiple studies have found that lupus nephritis class IV-S has similar or better outcomes than lupus nephritis class IV-G. SummaryThe ISN/RPS 2003 classification of lupus nephritis is gaining widespread acceptance and appears to be achieving its goals of reproducibility and clinical relevance.
Optical Injection Locking of Polarization Modes in VCSELs Emitting at 1.3 $\mu{\rm m}$ Wavelength

Injection locking of polarization modes of 1.3 μm wavelength vertical-cavity surface-emitting lasers (VCSELs) fabricated via wafer fusion is investigated. Maps of the injected modes in the frequency-power plane reveal the detailed response of the slave VCSEL to the optical injection, in agreement with numerical simulations of the system.
An optimal control-based algorithm for Hybrid Electric Vehicle using preview route information

Control strategies for Hybrid Electric Vehicles (HEVs) are generally aimed at optimally choosing the power distribution between the internal combustion engine and the electric motor in order to minimize the fuel consumption and/or emissions. Using vehicle navigation systems in combination with Global Positioning Systems and Geographical Information Systems allow further optimization of the power distribution by utilizing the route information. In this paper, a new control algorithm based on a combination of dynamic programming and classical optimal control theory is proposed for the Energy Management System in parallel HEVs to improve the fuel economy over a preview route segment. The proposed algorithm optimizes not only the gear position and the engine power yet also the vehicle velocity. The vehicle is controlled to complete this route segment in a predefined time length. Using this method more than 11% fuel saving is computed on an optimized cycle compared to a standard city cycle with equal time length and average speed.
The differential plasma proteome of obese and overweight individuals undergoing a nutritional weight loss and maintenance intervention

The nutritional intervention program “DiOGenes” focuses on how obesity can be prevented and treated from a dietary perspective. We generated differential plasma proteome profiles in the DiOGenes cohort to identify proteins associated with weight loss and maintenance and explore their relation to body mass index, fat mass, insulin resistance, and sensitivity.
Post-embedding colloidal gold immunolocalization of laminin to the lamina rara interna, lamina densa, and lamina rara externa of renal glomerular basement membranes.

Ultrastructural distribution of laminin within renal glomerular (GBM) and tubular basement membranes (TBM) was investigated using post-embedding immunolocalization with colloidal gold. Rat kidneys were fixed with 4% formaldehyde and embedded at 4 degrees C in Lowicryl K4M medium. Thin sections were then sequentially treated with affinity-purified rabbit anti-laminin IgG and anti-rabbit IgG conjugated to 10 nm diameter colloidal gold. Gold bound specifically to the GBM and TBM with particle densities of 690/micron2 and 731/micron2, respectively. In the GBM, the number of gold particles bound/micron2 of lamina densa greater than lamina rara externa greater than lamina rara interna. Closely similar binding patterns were found when kidneys were fixed with 0.5% glutaraldehyde plus 3% formaldehyde and embedded at 60 degrees C in L.R. White resin, but slightly less gold bound to sections overall than that seen with formaldehyde alone and Lowicryl. Taken together, these results illustrate that anti-laminin IgG, whether applied to fixed sections in vitro or introduced in vivo, bound to the lamina rara interna, lamina densa, and lamina rara externa of the GBM and throughout the TBM.
Assessment of intraocular pressure measured by Reichert Ocular Response Analyzer, Goldmann Applanation Tonometry, and Dynamic Contour Tonometry in healthy individuals.

AIM To investigate the accuracy of intraocular pressure (IOP) as measured by a Reichert Ocular Response Analyzer (ORA), as well as the relationship between central corneal thickness (CCT) and IOP as measured by ORA, Goldmann applanation tonometry (GAT), and dynamic contour tonometry (DCT). METHODS A total of 158 healthy individuals (296 eyes) were chosen randomly for measurement of IOP. After CCT was measured using A-ultrasound (A-US), IOP was measured by ORA, GAT, and DCT devices in a randomized order. The IOP values acquired using each of the three tonometries were compared, and the relationship between CCT and IOP values were analyzed separately. Two IOP values, Goldmann-correlated IOP value (IOPg) and corneal-compensated intraocular pressure (IOPcc), were got using ORA. Three groups were defined according to CCT: 1) thin cornea (CCT<520µm); 2) normal-thickness cornea (CCT: 520-580µm); and 3) thick cornea (CCT>580µm) groups. RESULTS In normal subjects, IOP measurements were 14.95±2.99mmHg with ORA (IOPg), 15.21±2.77mmHg with ORA (IOPcc), 15.22±2.77mmHg with GAT, and 15.49±2.56mmHg with DCT. Mean differences were 0.01±2.29mmHg between IOPcc and GAT (P>0.05) and 0.28±2.20mmHg between IOPcc and DCT (P>0.05). There was a greater correlation between IOPcc and DCT (r=0.946, P=0.000) than that between IOPcc and GAT (r=0.845, P=0.000). DCT had a significant correlation with GAT (r=0.854, P=0.000). GAT was moderately correlated with CCT (r=0.296, P<0.001), while IOPcc showed a weak but significant correlation with CCT (r=-0.155, P=0.007). There was a strong negative correlation between CCT and the difference between IOPcc and GAT(r=-0.803, P=0.000), with every 10µm increase in CCT resulting in an increase in this difference of 0.35mmHg. The thick cornea group (CCT>580µm) showed the least significant correlation between IOPcc and GAT (r=0.859, P=0.000); while the thin cornea group (CCT<520µm) had the most significant correlation between IOPcc and GAT (r=0.926, P=0.000). The correlated differences between IOPcc and DCT were not significant in any of the three groups (P>0.05). CONCLUSION Measurement of IOP by ORA has high repeatability and is largely consistent with GAT measurements. Moreover, the ORA measurements are affected only to a small extent by CCT, and are likely to be much closer to the real IOP value than GAT.
Ancillary Studies in Amniotic Fluid Embolism: A Case Report and Review of the Literature

The incidence of amniotic fluid embolism during pregnancy is approximately 1/50,000 and has a mortality rate in excess of 80%. The postmortem diagnosis of amniotic fluid embolism can be challenging for forensic investigators and pathologists. At autopsy, usually signs of disseminated intravascular coagulation suggest an amniotic fluid embolism. A definitive diagnosis of amniotic fluid embolism cannot be made until ancillary studies are performed on the decedent's tissues. We report a case of a 37-year-old G3P2 white female who was 36 weeks gestation when her membranes spontaneously ruptured. She suddenly became breathless, went into cardiogenic shock, and died. The autopsy revealed gross and microscopic findings of amniotic fluid embolism, which was confirmed with ancillary studies consisting of special stains, immunohistochemistry, and a serum tryptase level. The authors hope this case report, including gross and microscopic autopsy findings with procedural and ancillary studies, and review of the literature will help investigators and pathologists in the diagnosis of amniotic fluid embolism.
Breakdown in Air Produced by High Power Microwaves

The air breakdown driven by the high-power microwave radiated from the circular waveguide is investigated using the 2-D fluid model. We focus on the case of the air pressure higher than 100 torr, and therefore neglect the electron diffusion loss to the wall in the fluid model. A proper numerical scheme for the finite-difference time-domain method is developed to solve the fluid model. The results show that the air breakdown mainly occurs near the dielectric window due to the high electric field, and the generated nonuniform plasma causes significant attenuation in the radiated field. The wave reflection by the air plasma, far larger than the plasma absorbtion, attenuates the transmitted power significantly at low pressures, while at high pressures, the plasma absorbtion plays a major role in the transmitted power loss. The accuracy of the fluid model is validated by comparing with the reported experimental results.
Sleep problems of children with pervasive developmental disorders: correlation with parental stress

This study aimed to investigate the prevalence of sleep problems in Chinese children with pervasive developmental disorders (PDD) in Hong Kong and their relationship to parental stress. A cross‐sectional survey was conducted in six child assessment centres. All parents of the children with PDD completed the Children's Sleep Habits Questionnaire, the Parenting Stress Index ‐ Short Form, and questions on sleep practice. A total of 210 out of 250 questionnaires (response rate 84%) were returned. Mean age of the children was 3 years 6 months (SD 1y 4mo; range 2y–7y 7mo; 168 males, 25 females). The prevalence of parent‐defined sleep problems in various sleep domains ranged from 9.3 to 45.6%, with 67.9% of children having significant problems in at least one sleep domain. The most common problems reported were bedtime resistance and parasomnias. Similar sleep problems occurred in all the PDD subgroups. The factor most significantly associated with sleep problems was the occurrence of sleep problems before the age of 2 years. The parents of children with PDD with sleep problems experienced a higher level of stress than those whose children had no sleep problems. A high prevalence of significant sleep problems was reported in Chinese children in Hong Kong with PDD. A higher stress level among the parents of those children with PDD with sleep problems suggests the need for systematic early detection and management of sleep problems in children with PDD.
Recipient Prioritization and Use of Human Milk in the Hospital Setting

Donor human milk is used to treat and protect the health and development of preterm and term infants, and occasionally to treat illnesses in older children and adults. When donor human milk is in short supply nationally, decisions must be made with regard to the priority of recipients. This article reviews the importance of donor human milk in the hospital setting, describes the factors that are considered by the Human Milk Banking Association of North America when prioritizing eligible recipients if there is a shortage of donor milk, and discusses howhuman milk should be stored and handled in the hospital setting.
Analytical studies on volume determination of leg ulcer using laser triangulation and structured light data acquisition techniques

Imaging is defined as the process of obtaining geometric images, either in two or three dimensions by digitizing an existing object. In this research, 3D information of the human skin surface is retrieved and analysed to determine volume of leg ulcers for medical purposes. Volume determination is an important criterion in clinical assessment of leg ulcer as it will indicate the treatment efficacy. Different imaging techniques are expected to give different results in generating images. Misinterpretation of the results can affect the treatment efficacy. The objective of this paper is to compare the accuracy between two 3D data acquisition methods, which is laser triangulation and structured light method. It was shown that using models with known volume, that structured-light-based 3D technique produces better accuracy compared with laser triangulation data acquisition method for leg ulcer volume determination.
ObjectSense: a scalable multi-objects recognition system based on partial-duplicate image retrieval

In this demo, we present ObjectSense, a scalable object recognition system that recognizes multiple objects present in a static image or in the camera frames. Instead of applying learning based recognition framework, this system identifies objects through Partial-Duplicate Image Retrieval (PDIR) based method. First, objects are identified by measuring the similarity between an incoming image and reference image corpus that are labeled with the objects. To compute image similarities, we explore the Consistency Graph Model (CGM), which robustly rejects spatially inconsistent feature matches with the advantage of orientations and positions of local features. Then a kNN voting method is used to decide the object category based on the quantized image similarities. ObjectSense is scalable with promisingly high recall and accuracy, which fits well into recognition-guided shopping and human computer interaction. We built ObjectSense on two platforms, PC and Android.
The Day-of-the-Week Effect on Return and Volatility in the Turkish Stock Markets

This study investigates the presence of the day-of-the-week effect on the return and return volatility of the BIST (Borsa Istanbul) stock indexes, those of the BIST-100, the BIST-Financials, the BIST-Services, the BIST-Industrials, and the BIST-Technology for the period January 7, 2008 to December 28, 2012 in Turkey. Empirical findings obtained from EGARCH (1,1) model show that the returns on Mondays are positive and the highest during the week for all indexes, and only the BIST-Financials index returns do not show the significant Monday effect. There isn’t any evidence of the day-of-the-week effect on the BIST-Financials returns. The BIST-100 Industrials returns also show a significant positive Tuesday and Wednesday effects, while the BIST-Technology shows a positive Tuesday effect. On Fridays, all index returns are positive and not significant except the BIST-Services. Return volatility increases the most on Mondays, while decreases the most on Fridays for each index. This is statistically significant for the BIST-100, the BIST-Financials and the BIST-Industrials. On Tuesdays, volatility declines insignificantly in all index returns except the BIST-Industrials. On Wednesdays and Thursdays, there is no significant impact on the volatility. There exists no evidence of the day-of-the-week on the volatility of the BIST-Services and the BIST-Technology returns. This study also finds that the leverage effect exists in all indexes and all of them display strong GARCH effects.
Reproducibility of read numbers in high‐throughput sequencing analysis of nematode community composition and structure

Although nematodes are the most abundant metazoan animals on Earth, their diversity is largely unknown. To overcome limitations of traditional approaches (labour, time, and cost) for assessing biodiversity of nematode species in environmental samples, we have previously examined the suitability of high‐throughput sequencing for assessing species level diversity with a set of control experiments employing a mixture of nematodes of known number and with known sequences for target diagnostic loci. Those initial experiments clearly demonstrated the suitability of the approach for identification of nematode taxa but lacked the replicate experiments necessary to evaluate reproducibility of the approach. Here, we analyze reads generated from three different PCR amplifications and three different sequencing reactions to examine the differential PCR amplification, the possibility of emulsion PCR artefacts, and differences between sequencing reactions. Our results suggest that both qualitative and quantitative data are consistent and highly reproducible. Variation associated with in‐house PCR amplification or emPCR and sequencing are present but the representation of each nematode is very consistent from experiment to experiment and supports the use of read counts to estimate relative abundance of taxa in a metagenetic sample.
Augmented Reality Visualization for Sailboats (ARVS)

In order to safely operate sailboats, captains often rely on proper interpretation of several marine aspects to make decisions. In this project, we have developed an Augmented Reality System (ARS) to provide captains of sailboats with a centralized sensor data server and a visualization method. We have deployed an experimental proof-of-concept version of this system on our research vessel, SV Moon shadow. Assistance in navigation is of particular interest for small sailing vessels as they are sometimes sailed by the captain alone. At the same time there are a large number of data inputs such as wind, tide, weather, position, and presence of obstacles such as logs or kelp that have to be considered to choose the proper course of action. We introduce a visualization tool that provides an interface for representing a wide spectrum of relevant marine data. The interface relies on a real-time data server that provides information about the status of the vessel (wind, GPS, gyro, accelerometer, depth sounder etc.) An important component of the interface is a debris detector that analyzes data from a camera mounted on the bow in order to warn a captain about a potential collision. We have also examined initial feedback on this tool from a number of users.
Skill-based anytime agent architecture for logistics and manipulation tasks: EuRoC Challenge 2, Stage II - Realistic Labs: Benchmarking

Nowadays, the increase of robotic technology application to industry scenarios is notorious. Proposals for new effective solutions are in continuous development once industry needs a constantly improvement in time as well as in production quality and efficiency. The EuRoC research project proposes a scientific competition in which research and industry manufacturers joint teams are encouraged to develop and test solutions that can solve several issues as well as be useful in manufacturing improvement. This paper presents the TIMAIRIS architecture and approach used in the Challenge 2 - Stage II - Benchmarking phase, namely regarding the perception, manipulation and planning strategy that was applied to achieve the tasks objectives. The used approach proved to be quite robust and efficient, which allowed us to rank first in the Benchmarking phase.