Miracle-dz/UniFAR-FTUs huggingface dataset:
Importance of a bird migration hot spot: proportion of the Swedish population of various raptors observed on autumn migration at Falsterbo 1986–1995 and population changes reflected by the migration figures

The importance of Falsterbo, Sweden, as a concentration site for migrating raptors was assessed by recording total numbers of various species during ten autumns 1986–1995. Population estimates and number of fledged young per pair were taken from the literature to estimate the Swedish autumn population. These estimates were compared with the average numbers of migrants at Falsterbo to see how large proportion was recorded there and if there was any difference between adults and juveniles. The proportion observed at Falsterbo varied from below 1% in Goshawk Accipiter gentilis to 38% in Red Kite Milvus milvus. Species with more southerly distribution (breeding closer to Falsterbo), like Red Kite and Marsh Harrier Circus aeruginosus were recorded to a higher degree compared to northerly species like Northern Harrier Circus cyaneus and Rough-legged Buzzard Buteo lagopus. Thermal migrants like Honey Buzzard Peris apivorus, Red Kite and Common Buzzard Buteo buteo were more concentrated at Falsterbo compared to active flyers like harriers and falcons, which are less inclined to follow leading lines. In most species a higher proportion of juveniles was recorded. This may be due to adults generally wintering further north or being less inclined to follow leading lines. Three species (Honey Buzzard, Rough-legged Buzzard and Peregrine Falco peregrinus) showed a higher percentage of adults. In these species I suggest the adults use their previous experience to follow established safe and efficient routes to their known winter quarters. Systematic autumn counts of migrating birds at Falsterbo have been conducted since 1973. The correlation of annual numbers with these standardised counts is significant in all species, although the average figures are between 38 and 214 percent higher in this study due to a better coverage. Most species are at the moment stable or increasing. Recent population increases in Red Kite, Marsh Harrier and Peregrine are very well reflected by the counts. Standardised migration counts at Falsterbo are presently the best way to follow long-time changes in the Swedish raptor populations.
A 94GHz 2×2 Phased-Array FMCW Imaging Radar Transceiver with 11dBm Output Power and 10.5dB NF in 65nm CMOS

This paper presents a 94GHz 2×2 phased-array frequency-modulated continuous wave (FMCW) imaging radar transceiver. The transceiver consists of two receiving paths, two transmitting paths and a local oscillator (LO) generation path. In order to improve gain and noise performance, multi-paralleled transistors with small number-of-fingers are used to design power amplifier (PA) and low noise amplifier (LNA). A 24GHz voltage-controlled oscillator (VCO) is used to generate wideband FMCW signals, and two differential push-push cascode doublers are used to act as a quadrupler, which has a low power and high stability. Phase shifter (PS) with constant insertion loss (IL) compensation is used to achieve constant gain among different phase states. The LO path has a continuous frequency tuning range of 14GHz. The transmitter has a maximum output power of 11 dBm and 2.8dB power flatness over 14GHz bandwidth. The receiver has a conversion gain of 20dB and a noise figure (NF) of 10.5dB.
Combination of Thick-Film Hybrid Technology and Polymer Additive Manufacturing for High-Performance Mechatronic Integrated Devices

In order to build high performance 3D-Opto-mechatronic integrated device packages, we demonstrate the direct stereolithographic printing of polymeric resins onto ceramic substrate. The effects of adhesion are examined, the lower size limit for structures is found and the adhesion strength is measured. With the results a suitable combination of materials can be chosen for creating a hybrid package for a 3D-Opto-mechatronic integrated device. A prototype of an optical coupler is printed successfully and shows one possible application.
MODIFICATION OF INSECT SECRETION ON KESAMBI TREE BY USING ANHYDRIDE PHTHALIC AS BIOBASED MATERIAL ALTERNATIVE FOR MATRIX OF COMPOSITE

This study was division of research road map ”Preparation of biocomposite from natural matrix matlac with reinforcement of natural fiber”. Matlac is produced by engineer insect secretion toward matrix of composite. The objective of this research was to modification of matrix Matlac with adding anhydride phthalic with the result that its properties is more better than before modification. The adding anhydride phthalic 5, 10, 15, 20, and 25 % respectively is expected can increase tensile strength of matrix matlac. Secretion of lac insect was used as matrix lac (matlac). The first step, matrix phase was changed from solid to liquid with using an ethanol p.a. as a solvent by mass ratio of matlac-solvent in composition 1:2, so the matrix distributed homogenly. Secondly, matlac was modified by adding anhydride phthalic with concentration 5, 10, 15, 20, and 25 % respectively. Polymerization was conducted at 50 0 C with agitation during 2 hours. Thirdly, matrix matlac of insection secretion without and with modification are characterized by intrinsic viscosity analysis with using viscometer Ostwald, functional group analysis with using FTIR spectrophotometer, thermal properties analysis with using Differential Thermal – Thermogravimetric Analyzer, and crystallinity with using X-Ray Diffractometer. The result of this research showed that matrix matlac from secretion of lac insect on Kesambi tree as matrix of composite can be modified by reaction with anhydride phthalic at 50 0 C with agitation during 2 hours. Functional group analysis showed that the modificated matlac had functional groups i.e. -OH, CH methylene, C=O ester, and C-O. Modificated matlac has functional group ester and hydroxyl groups. The resulting matrix has a chain length changes. The addition of phthalic anhydride into the matrix of the secretion of lac (matlac) caused the emergence of the benzene ring from phthalic anhydride. Modificated matrix matlacs of secretion shellac have very high yield between 98.52% to 100%. The addition of phthalic anhydride 5% can produse matlac matrix with high viscosity of 104.4 cP and the highest thermal stability as well. Matlac matrix modification by the addition of phthalic anhydride 5% and 25% had DTA and TGA thermogram pattern was almost the same. The addition of phthalic anhydride at a concentration of 5% and 25% can cause decreasing crystallinity
Physicians in the Era of Automation: The Case for Clinical Expertise

A clear example of the conflict from the entanglement of automation and the practice of medicine is that of clinical decision support systems. A recent editorial by a pioneer in the field noted both the promise of such technology, designed using care algorithms and emerging artificial intelligence technologies, to assist clinicians with challenging decisions, and the many limitations that need to be addressed before these systems can deliver on their promise. As we move toward a future in which technology becomes more of an active agent in medical decision making, what remains to be seen is the role of the physician in care delivery systems with automated agents. Traditionally, clinicians have by default functioned as expert navigators as they have been the primary source of clinical knowledge for a patient. For example, the Surviving Sepsis Campaign guideline summarizes the evidence base for a number of recommendations, advising that clinicians adopt best practices while considering the strength of the evidence base. This need for the capacity to exercise expert judgement is further reinforced by competencies set forth by the Accreditation Council for Graduate Medical Education in both medical knowledge and patient-physician communication. Obermeyer and Emanuel in a recent commentary note,
Impact of a Minimum Remaining Available Margin Adjustment in Flow-Based Market Coupling

Flow-Based Market Coupling (FBMC) is used to calculate available day-ahead transmission capacities in Central Western Europe (CWE) since 2015. National Regulatory Authorities claimed for a minimum Remaining Available Margin (minRAM) to increase capacities for commercial exchanges, thus Transmission System Operators adjusted the FBMC algorithm in April 2018. This paper makes a contribution to the evaluation of the algorithm’s modification, by applying the market and grid simulation framework Model of International Energy Systems (MILES). MILES calculates flow-based cross-border capacities, and simulates generator’s dispatch in Europe considering FBMC to finally determine transmission systems’ operational state. The minRAM capacity offered to the market is varied to investigate its effects on market clearing, system’s costs and grid’s utilization. The results indicate a significant correlation between a minRAM, economic welfare and grid utilization. Certainly a higher minRAM goes along with decreasing costs, but transmission grid’s utilization increases simultaneously, resulting in an increasing demand for remedial actions.
Safety and Efficacy of Intravenous Iron Sucrose for Iron-Deficiency Anemia in Children and Adolescents With Inflammatory Bowel Disease

Background. Anemia is common in inflammatory bowel disease (IBD). Oral iron is widely used but efficacy can be reduced by poor compliance and insufficient absorption. Intravenous iron is safe and effective in adults but is not well studied in children. Purpose. To assess safety and efficacy of intravenous iron sucrose (IVIS) in children with IBD. Methods. We reviewed medical records of IBD patients <22 years of age who received IVIS at our institution between 2009 and 2014. Anemia was defined as hemoglobin (Hgb) level below normal for age and gender and iron-deficiency anemia as serum iron studies and red cell mean corpuscular volume below normal ranges. Each IVIS infusion was evaluated for safety. Efficacy was defined as ≥2 g/dL increase in Hgb ≤12 weeks from IVIS initiation. Results. We identified 88 patients (Crohn’s disease, n = 52; ulcerative colitis, n = 33; IBD-unclassified, n = 3) who underwent 329 IVIS infusions over 121 courses. No patient developed anaphylaxis. Six patients developed minor adverse reactions. Of the 121 IVIS courses, 80 were included in the efficacy evaluation. There was a significant rise in Hgb (mean 9.1 ±1.4 to 11.9 ± 1.8 g/dL; P < .0001, paired t test). Overall, 58.7% (47/80 courses) resulted in goal Hgb increase. Conclusions. IVIS is safe and effective in treating iron-deficiency anemia in pediatric IBD. There were only minor adverse events, and the observed rise in Hgb was clinically significant, with the majority achieving goal Hgb.
Game Controller Position Tracking using A2C Machine Learning on Inertial Sensors

Various VR devices, including Oculus Rift, HTC Vive, and Samsung Gear VR, have been developed over the past five years. In particular, devices such as Oculus Rift and HTC Vive track the location of the controller using external sensors to provide a more immersive experience for the user. However, it is difficult to track the position of the controller when the controller enters the blind area of external sensors. Therefore, in this paper, a method is proposed to trace the position of the controller without the aid of external sensors by using the reinforcement learning. The proposed method tracks the position of the controller with only the information obtained from the IMU (Inertial Measurement Unit). However, since the error accumulates when tracking the position suing only the information obtained from the IMU, the proposed method uses Advantage Actor-Critic(A2C), one of the reinforcement learning algorithms, to correct the tracked position to prevent accumulation of errors. It was also confirmed that the proposed method maintains a maximum error of 50cm and an average of 20cm for very dynamic controller movements of more than 3 minutes.
A Distributed Optimal Power Flow for Secondary Control of Hybrid AC/DC Networks

As promising alternative to conventional grid expansion in AC distribution grids, the integration of DC technology provides additional flexibility in operation. This paper deals with a suitable control scheme for thus resulting hybrid AC/DC distribution grids. More precisely, the paper focusses on a distributed optimal power flow algorithm (DOPF) for the secondary stage as part of a hierarchical control scheme. The DOPF aims on providing suitable operating points for generators and converters so that network losses are minimized. In contrast to a centralized approach, each node of the grid is self-coordinated while general consensus about the actual grid status is ensured by alternating direction of multipliers (ADMM) optimization technique. The proposed approach is validated on a AC/DC grid obtained by adapting a 14 bus IEEE test grid. The results proofs the applicability of the DOPF for the given test grid. Calculated operating points and resulting network losses are almost similar to those obtained by a centralized OPF.
Assessment of Accelerometer Versus LASER for Board Level Vibration Measurements

The ongoing trend to deploy ICs in more complex and harsher applications, entails precise evaluation of solder joint reliability of components subjected to vibration loads. For this, a good understanding of the PCB vibrational motion during a board level vibration test is essential. This can only be achieved by a well characterized vibration test setup. The vibration motion can be recorded by using a contact-based measurement approach, i.e. using an accelerometer, or a contactless measurement configuration, i.e. using a Laser Doppler Vibrometer (LDV). This paper evaluates both measurement techniques by recording the PCB dynamic response, i.e. the resonance frequency and peak-to-peak displacement, in a board level vibration test set up. Bare and assembled printed circuit boards (PCBs) are investigated using different PCB form factors and package outlines (Wafer Level Chip Scale Package (WLCSP) and Ball Grid Array (BGA)), showing that LDV enables better lateral resolution and a more accurate measurement solution. Especially when the weight of the accelerometer cannot be neglected compared to the weight of the component on the PCB. An accelerometer is shown to perturb the PCB vibration motion. It is found that depending upon the test objectives and PCB electronic system involved, both techniques can be used as complementary to one another. The accelerometer weight may give rise to substantial modification of vibration response which can be used to simulate the presence of a component on a bare PCB. In addition, both methods are expected to recognize the same trends when e.g. studying the environmental impact during vibration tests. Finally, the experimental observations are also confirmed using a Finite Element Model (FEM).
Ultra-Wideband 8-45 GHz Transmitter Front-End for a Reconfigurable FMCW MIMO Radar

This paper presents an ultra-wideband 8-45 GHz FMCW MIMO radar transmitter (Tx) front-end, designed in a 130 nm SiGe BiCMOS technology. Various design techniques were applied to achieve the ultra-wide bandwidth, high linearity and the output power, which is at the edge for the given technology. The measured output power at 1 dB compression point was 15 – 20 dBm in a frequency range of 8 – 45 GHz and 3 dB output power flatness of 17-20 dBm was achieved for a 9 – 41 GHz bandwidth. The compact design features a total active IC area of 2.72 mm2 and a peak overall system PAE of 9 %. The total DC power consumption was 1.45 W.
Study on Warpage of Fan-Out Panel Level Packaging (FO-PLP) Using Gen-3 Panel

In this study, fan-out panel level packaging (FO-PLP) technology using redistribution layer (RDL) first approach is demonstrated using Gen-3 glass substrate (550mm × 650mm size). Investigation on panel level warpage during process is carried out through finite element analysis (FEA) to address warpage issue with considering material selection, structure design and process optimization. Taguchi method helps to identify important parameters for each process and then further parametric study is conducted with detailed FEA simulation. The effect of gravity on panel warpage has been simulated and analyzed by considering panel process and panel size. Modelling gravity effect reduces panel warpage significantly, which is much close to the real case and need to be considered in the large panel warpage simulation.
Location-Based Burst Detection Algorithm in Spatiotemporal Document Stream

The recent increasing interest in consumer generated media has resulted in numerous studies on extracting topics from documents in micro blogs. These documents are usually arranged in a temporal order and hence are represented as a document stream. This study focuses on a document stream that consists of documents containing creation time and location information. This type of document stream is referred to as a spatiotemporal document stream. We propose a novel algorithm for detecting location-based bursts in a spatiotemporal document stream. To evaluate the new location-based burst detection algorithm, we use an actual spatiotemporal document stream composed of crawling tweets on Twitter. Experimental results show that the algorithm can detect location-based bursts that vary with user location.
Estimation of Expected Cost Curve on Operation Parameter Space for Planning Residential PEFC–CGS

This study proposes an operation planning method for polymer electrolyte fuel cell cogeneration systems (PEFC–CGSs). PEFC–CGSs provide hot water by utilizing waste heat produced in the electricity generation process. An appropriate operation plan according to household demand will lead to further energy saving. The authors have discussed a framework for estimating expected operation costs of individual operation plans to select an appropriate candidate that minimizes the cost. In this scheme, the expected cost under each corresponding operation was independently estimated. This approach can be expected to provide accurate prediction of costs under individual operations. However, one open issue remains; it may not work well in estimating relative goodness compared to other operations. In this study, the authors propose a new cost estimation approach, focusing on relative appropriateness in candidate plans based on a multiple output prediction. The usefulness of the proposed approach is proved via a numerical simulation.
Long-term Tracking Based on Spatio-Temporal Context Model*

Visual tracking is always a challenging problem due to many factors such as appearance changing, background clustering, illumination variations, occlusions and so on. Spatio-temporal context with the useful information can be applied as a valid approach to enhance the robustness of visual tracking. It can track scenes with partial occlusion and deformation, but it cannot have the capacity of coping with long-term occlusion. To overcome this limitation, we designed a long-term tracking framework based on spatio-temporal context. The proposed forward and backward tracking method utilizes spatial context information to realize long-term occlusion determination. Then, a cascade classifier consisting of a random fern classifier and a nearest neighbor classifier is constructed through on-line training after occlusion occurs to reposition the target to achieve long-term tracking. Experimental results show that the proposed algorithm effectively solves the long-term occlusion problem with excellent tracking performance.
Application of Stretchable Membrane with Ferrite Flaky Fillers in Inductive Displacement Sensor

In this paper implementation of composite membrane with LTCC (Low Temperature Co-fired Ceramic)ferrite flaky fillers in realization of inductive displacement sensor is presented. Membrane was realized by placing a silicone layer in mold, followed by adding ferrite flaky fillers in active area of membrane. Final step in membrane realization was addition of top layer of silicone. Sensor was realized by employing 3D printing technology and it was made of four main parts: bottom part with spiral inductor, spacer in the middle and stretchable membranes covered with top part.
Exploring Transfer Learning and Domain Data Selection for the Biomedical Translation

Transfer Learning and Selective data training are two of the many approaches being extensively investigated to improve the quality of Neural Machine Translation systems. This paper presents a series of experiments by applying transfer learning and selective data training for participation in the Bio-medical shared task of WMT19. We have used Information Retrieval to selectively choose related sentences from out-of-domain data and used them as additional training data using transfer learning. We also report the effect of tokenization on translation model performance.
Comparative Study on Different PCNN Models in Plant Leaf Classification*

Plant classification is an important area of botany research. Plant classification based on image processing is also currently one of the hot spots in the research. Pulse coupled neural network(PCNN) has good performance in image processing, especially in the feature extraction. There are a lot of improved models. In this paper, three kinds of important improved PCNN models such as pulse-coupled neural network and intersecting cortical model, spiking cortical model and two-output pulse coupled neural network are applied to plant leaf classification based on image processing so that the network model suitable for leaf classification is selected. We have improved the extraction method of entropy sequence features, and then conducted a comparative experiment. Experimental results show that each model has its own characteristics. However, due to its complete functions, the standard pulse-coupled neural network has slightly better feature extraction ability, followed by intersecting cortical model, spiking cortical model and dual-output pulsed coupled neural network.
A 20-32GHz Digital Quadrature Transmitter with Notched-Matching and Mode-Switch Topology for 5G Wireless and Backhaul

In this paper, a mm-wave wideband digital quadrature transmitter with improved efficiency for the 5G wireless and backhaul communication is presented. A novel synthesized notched-matching network is proposed to decrease the impedance mismatch from the interconnection of power digital-to-analog converter (power-DAC) cells operating at mm-wave bands. The performance is further optimized at the low- and high-bands by mode-switch of the quadrature signal generator, interstage matching of sign map, and power-DAC output-matching, simultaneously. Based on the mechanisms mentioned above, a 2×10-bit digital quadrature transmitter operating at 20-32GHz is implemented and fabricated using a conventional 28-nm CMOS technology, which exhibits the saturated output power of 19.02dBm, 34.4% maximum drain efficiency, and maximum system efficiency of 22.1%, respectively. Such mm-wave transmitter can support 64QAM modulation signals with 3Gb/s data-rate, −28.9dB EVM, 9.96dBm output power, and −33.6dBc ACPR.
Percutaneous treatments of acute myocardial infarction and major stroke: Two parallel roads

Neurological and cardiovascular ischemic diseases represent the main causes of morbidity and mortality in the world. Physiopathological mechanisms present several similarities, based on “thromboembolic” events, as well as the pharmacological and percutaneous treatment options. We report a case of contemporary presentation of acute coronary and cerebral syndromes, successfully managed with a combined percutaneous intervention driven by the emergency setting. Whereas invasive revascularization represents nowadays the “gold standard” therapy for acute coronary syndromes, catheter-based treatment of acute stroke is not yet widespread and still under debate.