Miracle-dz/UniFAR-FTUs huggingface dataset:
IC performance prediction from electrical test measurements

A model for integrated circuit (IC) binning has been built using measurements collected on a high-volume manufacturing line. This model uses electrical measurements collected before packaging in order to predict the high-speed performance of manufactured parts before final test. A small set of measurable parameters responsible for the variation in fabricated parts was identified. The statistically significant, linear performance prediction model was built using data from a 1-Mbit CMOS EPROM production line. The applications of the model include aiding the packaging decision, production planning and scheduling, process characterization, and control and design for manufacturability. <<ETX>>
Effect of DIAREX VET powder on wet droppings in commercial growers and layers

Watery and sticky droppings in layers have been a problem in the egg industry for years. The major loss to the egg industry is through an increased percentage of dirty eggs due to watery and sticky droppings. The problems with wet droppings in layers are multifaceted, viz., nutritional, bacterial, viral, protozoan, strain of bird, mycotoxins, contaminants in the water and leakage in water troughs (Jordan and Pattison 1998; Singh 1981). Thus, DIAREX VET powder was used to improve the economic loss to the egg industry due to wet droppings in commercial growers and layers. Farms with a history of wet droppings in flocks of 5500 growers and 5200 layers were randomly distributed into treatment and control groups. The problem was identified as nonspecific wet droppings based on history, postmortem examination (both ailing and dead birds), feed analysis and the laboratory examination of the samples. DIAREX VET powder was administered at a dose of 500 gm/ton of feed/day for 5-7 consecutive days and stopped as soon as the consistency of the feces became normal. Efficacy of the treatment was judged on the basis of clinical recovery and fecal examination report. Results showed that DIAREX VET powder at the recommended dose was highly efficacious (100%) in both batches with complete clinical recovery in 5-7 days (Table). The consistency of feces changed from watery to semisolid by the third day, after treatment and the consistency was semisolid to hard thereafter. This could be attributed to the anti-diarrheal property of DIAREX VET powder. DIAREX VET powder comprises of herbs and minerals that possess cumulative effect to control diarrhea in birds. Pyranocoumarins from Aegle marmelos (Bilva) possess gastro protective effect either through increased prostaglandin production or mucosal defensive factors (Goel et al., 1997). The astringent activity of conessine, the principle alkaloid from the bark of Holorrhena antidysenterica (Kutaja) that occurs as tannate is responsible for antidiarrheal activity (Dineshchandra et al., 1988). Tinospora cordifolia (Guduchi) exerts anti-inflammatory effect against proliferative and exudative components of inflammation (Gulati and Pandey, 1982.). The antispasmodic and immunomodulatory effects of the stem of Tinospora cordifolia are due to the presence of bitter alkaloids that act by strengthening host defenses (Rege et al., 1993). Shankha bhasma is an astringent, digestive and carminative possessing toxin-binding properties (Nadkarni 1976). Shudda gairaka bhasma is a silicate of alumina and oxide of iron that aids in adsorption of toxins (Chopra et al., 1958). Besides the above major ingredients, other herbs play a supportive role in the treatment of diarrhea. Quercus infectoria (Mayakku), Bombax ceiba (Shalmali) and Acacia (Babbula) bark are used in dysentery and diarrhea.
Imaging Processor for Multi-Receiver SAS in the Presence of Partially Failed Receivers

For multi-receiver synthetic aperture image formation, if one or more receivers are failed because of unexpectable reasons, the synthetic virtual array may have to be pulled out from operation due to unacceptable pattern distortion. Here, a technique is presented for reconstructing the signals of failed receivers before synthetic aperture image formation. Its performance is validated by using simulated data, as well as real data collected by ChinSAS-150.
Aloe Vera in Dentistry: A Review

Aloe Vera is a tender and succulent type of plant belonging to the Liliaceae family and genus Aloe. It has been used as a medicinal plant for its healing and soothing properties for more than 2000 years. Properties of the Aloe Vera are not only specie dependent but also on how it is handled after being collected. Due to the adverse effects associated with conventional drugs, researchers are again interested in pursuing plant-based therapies for diseases. Aloe Vera possesses number of beneficial ingredients whilst some studies have also reported its potentially harmful effects. Presence of Aloe Vera in the scaffold material increases viability of the regenerating cells. It is crucial to understand how Aloe Vera interacts with the human body and its physiology when used for dental diseases and discomforts. Components like anthraquinones, aloe-emodin, and aloin present in the Aloe Vera leaves are responsible for their strong anti-bacterial and anti-viral properties. Therefore, this article reviews the current literature related to Aloe Vera use as a replacement or adjunctive therapy in dental diseases.
Multi-Objective Optimal Design of Traction Transformer Using Improved NSGA-II

The optimal design of traction transformer is a multi-objective nonlinear problem. The traditional design methods are difficult to consider multiple optimization goals at the same time. Therefore, a comprehensive design method is needed to solve the optimization problem. In this paper, an improved NSGA-II algorithm is used to optimize the design of traction transformer for the conflicting objectives of loss and weight. Then, the traction transformer optimization model based on improved NSGA-II algorithm is established. The nondominated ranking strategy is optimized to improve the global search capability. The solution space distributions of the NSGA-II and improved NSGA-II are compared. The result demonstrates that the improved genetic algorithm is effective and advanced. Finally, the manufacturing of prototype is completed, and the experiment is carried out according to the optimization results.
Learning as partners: realising the potential of work-based learning

Abstract In the twenty-first century, knowledge-based economies require planned management of knowledge and, therefore, partnerships between the world of work and education will take on qualitatively different emphases. The United Kingdom Government has recognised this through various initiatives including the new Foundation degree. The authors place the concept of educational partnership at the heart of work-based learning, but as both the driver and the definer, rather than as a taken-for-granted assumption. Quality partnerships are seen as an important dimension in the development of learning organisations and of lifelong learning in higher education (HE). The article discusses the concept of quality in partnership, and considers educational principles and criteria that are important in identifying successful work-based learning as opposed to work-based learning per se. Quality work-based partnerships increase ‘value added’ and are therefore important in shifting the predominant culture in business, from one of learning as a cost to one of learning as an investment in the future.
XIII SIMPÓSIO DE ESPECIALISTAS EM PLANEJAMENTO DA OPERAÇÃO E EXPANSÃO ELÉTRICA XIII SYMPOSIUM OF SPECIALISTS IN ELECTRIC OPERATIONAL AND EXPANSION PLANNING Collection System Cable Routing and Wake Losses Optimization in Offshore Wind Farms

SUMMARY Offshore wind farms with high installed capacities and located further from the shore are starting to be built by northern European countries. Furthermore, it is expected that by 2020, several dozens of large offshore wind farms will be built in the Baltic, Irish and North seas. These wind farms will be constituted of a considerable number of turbines packed together. Due to shadowing effects between turbines, the power production is reduced, resulting in a decreased wind farm efficiency. Moreover, the collection system length and complexity rapidly increase with the number of wind turbines installed, resulting in higher investment costs and power losses. Hence, when large wind farms are considered, wake losses and collection system total length are important aspects that need to be optimized. Nonetheless, designing a large offshore wind project is a very complex task. In the development phase, an enormous amount of time is used to generate feasible wind farm designs. For example, the manual layout optimization and cable routing are highly time consuming. Amongst others, this drawback leads to offshore wind projects with very high investments costs. In fact, electricity generated offshore is, up to today, substantially more expensive when compared to onshore wind or combined cycle gas turbines. Wind farm layout optimization is a possible solution to further increase the efficiency of wind projects leading to lower prices of energy generated offshore. Moreover, investment costs would be reduced if the collection system could be automatically designed via optimization tools. The aim of this work is to obtain optimized offshore wind farm layouts with enhanced energy production while considering the seabed constraints, e.g. maximum sea depth, inappropriate soil types and large seabed gradients. Through the use of optimization tools it is also desired to alleviate the designer teams of mundane manual layout optimization and cable routing. The optimized wind farm layout obtained presents higher energy yield. Although, the collection system total length is higher than for the standard case, the overall system efficiency is improved. Moreover, installation costs of the collection system were reduced through the avoidance of challenging areas of the wind farm. The wind turbine support structures costs were also reduced since deep areas of the seabed were avoided. In this work it is presented a novel optimization tool to obtain optimized offshore wind farm layouts while taking into consideration the seabed profile. Due to the increased offshore activity in recent years, as well as the expected installation in the coming years, this tool becomes very important and relevant for the offshore field.
Laserdioden mit externen Resonatoren für die Gasanalyse (External Cavity Diode Lasers for Gas Analytics)

Die Anwendung von Lasern in der industriellen Gasanalyse erfordert kostengünstige, kompakte und robuste Strahlungsquellen mit gleichzeitig hervorragenden spektralen Eigenschaften. In diesem Beitrag werden solche Systeme auf der Basis von NIR-Laserdioden in Littrow und Littman Konfigurationen beschrieben. Die Abstimmeinheiten wurden mit Festkörpergelenkanordnungen und mit neuartigen halbmonolithischen Aufbauten realisiert.
An optical clock distribution network for gigascale integration

A novel system-level model describing a printed wiring board-level, high-fanout, curved aperture optical waveguide H-tree network using volume grating focusing couplers is presented. The intra-chip optical network globally distributes an optical signal to monolithic CMOS receivers for local clock distribution. An estimation for the available optical output power as a function of distribution fanout is presented. Assuming -2 dB optical loss per y-junction, a distribution fanout of 256 can be achieved for an optical input power of 1.23 W.
Similarity-based interference and relative clauses in second language processing

Relative clauses have long been examined in research on first (L1) and second (L2) language acquisition and processing, and a large body of research has shown that object relative clauses (e.g. ‘The boy that the girl saw’) are more difficult to process than subject relative clauses (e.g. ‘The boy that saw the girl’). Although there are different accounts of this finding, memory-based factors have been argued to play a role in explaining the object relative disadvantage. Evidence of memory-based factors in relative clause processing comes from studies indicating that representational similarity influences the difficulty associated with object relatives as a result of a phenomenon known as similarity-based interference. Although similarity-based interference has been well studied in L1 processing, less is known about how it influences L2 processing. We report two studies – an eye-tracking experiment and a comprehension task – investigating interference in the comprehension of relative clauses in L1 and L2 readers. Our results indicated similarity-based interference in the processing of object relative clauses in both L1 and L2 readers, with no significant differences in the size of interference effects between the two groups. These results highlight the importance of considering memory-based factors when examining L2 processing.
The Protective Effects of Apigenin on Cognitive Function and The Brain Transcriptome in Old Mice

Age-related declines in cognitive function increase the risk of developing mild cognitive impairment and dementia, but select nutraceuticals (bioactive plant compounds) may hold promise for protecting the brain and improving cognitive function with age. Apigenin is a flavonoid nutraceutical found in chamomile and reported to inhibit multiple hallmarks of aging; however, it has not been studied in the context of brain aging specifically. We treated young (6 mo) and old (27 mo) C57BL/6N mice with apigenin (0.5 mg/mL in 0.2% carboxymethylcellulose) or control (0.2% carboxymethylcellulose) drinking water for 6 weeks. Then, we assessed cognitive function and performed RNA-seq to characterize global transcriptomic changes and potential mechanisms of action in the brain. We observed impaired novel object recognition (NOR) test performance (an index of learning/memory) in old vs. young control mice (P<0.0001), but old apigenin mice had ~3-fold higher NOR performance relative to old control mice (P=0.02). Transcriptomic analyses also showed age-associated gene expression changes related to immune function and inflammation, consistent with the established role of inflammation in brain aging. However, some of these key changes were reversed by apigenin. In fact, >300 genes were differentially expressed in old apigenin-treated mice vs. old controls, and the biological processes linked with these differences were related to innate and adaptive immune function, and cytokine and chemokine regulation. We are performing protein/signaling pathway analyses to elucidate downstream cellular changes associated with apigenin treatment, but our current results suggest apigenin may be a promising nutraceutical candidate for preventing brain aging.
An experimental S-band digital beamforming antenna

This paper describes a 12 channel S-band digital beamforming antenna aimed at radar applications. It has a 2.8-3.3 GHz agile band and the signal is sampled at IF. The design of the antenna elements, calibration network, receiver modules and signal processing ASIC are discussed. Calibration procedures and experimental results, showing very good performance, are also presented. The purpose of the work has been to evaluate design parameters, requirements and limitations.
Micromachined micropackaged filter banks

A micromachined, micropackaged filter bank at X/Ku-band is presented. The filters are integrated on a silicon substrate, and the micropackaging provides high isolation between the adjacent filters in the overlapping frequency region. This technology allows for the low-cost integration of switched filter banks on the same substrate for satellite communication systems, base-stations, and wide-band radar applications.
Magnetic component miniaturisation for application in power electronic modules

As the specifications, functionality and level of integration in power electronic systems continues to increase, passive components will also be implemented within the semiconductor module to form an Integrated System Module. An Integrated System Module is a power electronic module that contains the complete energy processing circuit, including all passives instead of just the switching devices. To achieve a power electronic system with a high power density within the power electronic module, the volume of the required passive components and their associated thermal management structures must be minimised for the given energy storage requirements. This paper considers the electric, volumetric and thermal optimisation of a planar inductor and its thermal management structure for implementation in a high power density, high temperature Integrated System Module. Two inductor prototype structures with a current density of 15A/mm2 and 40A/mm2 each and a corresponding temperature rise of 18deg C and 31deg C respectively are built and experimentally verified.
Area Overhead and Delay Analysis for Built-In-Self-Test (BIST) Technique

As the device size is shrinking, device density is increasing. This increases the functional complexity on the chip and also accessing of internal sub-circuits of chip for testing purposes is becoming very difficult, as they are not directly accessible through primary inputs. So, the testing of chip is also becoming very time consuming and costly process with increasing cost. To reduce the cost of testing of chips by costly Automatic Test Equipment (ATE), Built-In-Self-Test (BIST) technique has emerged as a cheap alternative. Firstly we designed a simple UART using Verilog HDL Language and implemented it on FPGA. Then to implement Built-In-Self-Test capability some extra logic is added to this UART. In this paper, the analysis of area overhead and increase in delay for implementing BIST technique in UART is carried out. A UART with BIST has the objectives of firstly to satisfy specified testability requirements, and secondly to generate the lowest-cost with the highest performance implementation.
Soft robotics application in manufacturing

Robots are superior to human workers in the manufacturing industry, but cannot fully supplant humans for several reasons. It is no coincidence that industrial robots are mostly robotic arms on assembly lines. This article analyzes why robots are playing a more and more important role in manufacturing, and whether soft robotics are able to make amendments to the flaws of rigid robotics, to achieve a higher level of automation. The robots are more precise, more productive, and able to reduce the risk of human injury. But at the same time, they may be too large or too small for the product, or unable to carry out duties due to design constraints. Soft robots possess a new level of adaptability and flexibility, thanks to biomimicry, but current development of soft robotics is slow because of the difficulty in kinematic control. However, this article only discusses its application, namely in the production of communication modules, aircraft assembly and vehicle inspection, assuming kinematic control is feasible in the future. And it is concluded that soft robotics could be applicable in manufacturing industries to make amendments of robotic arms’ drawbacks, but it takes time before soft robotic can be mass-produced.
Vehicle State Information Estimation with the Unscented Kalman Filter

The vehicle state information plays an important role in the vehicle active safety systems; this paper proposed a new concept to estimate the instantaneous vehicle speed, yaw rate, tire forces, and tire kinemics information in real time. The estimator is based on the 3DoF vehicle model combined with the piecewise linear tire model. The estimator is realized using the unscented Kalman filter (UKF), since it is based on the unscented transfer technique and considers high order terms during the measurement and update stage. The numerical simulations are carried out to further investigate the performance of the estimator under high friction and low friction road conditions in the MATLAB/Simulink combined with the Carsim environment. The simulation results are compared with the numerical results from Carsim software, which indicate that UKF can estimate the vehicle state information accurately and in real time; the proposed estimation will provide the necessary and reliable state information to the vehicle controller in the future.
Smart Pothole Detection Using Deep Learning Based on Dilated Convolution

Roads make a huge contribution to the economy and act as a platform for transportation. Potholes in roads are one of the major concerns in transportation infrastructure. A lot of research has proposed using computer vision techniques to automate pothole detection that include a wide range of image processing and object detection algorithms. There is a need to automate the pothole detection process with adequate accuracy and speed and implement the process easily and with low setup cost. In this paper, we have developed efficient deep learning convolution neural networks (CNNs) to detect potholes in real-time with adequate accuracy. To reduce the computational cost and improve the training results, this paper proposes a modified VGG16 (MVGG16) network by removing some convolution layers and using different dilation rates. Moreover, this paper uses the MVGG16 as a backbone network for the Faster R-CNN. In addition, this work compares the performance of YOLOv5 (Large (Yl), Medium (Ym), and Small (Ys)) models with ResNet101 backbone and Faster R-CNN with ResNet50(FPN), VGG16, MobileNetV2, InceptionV3, and MVGG16 backbones. The experimental results show that the Ys model is more applicable for real-time pothole detection because of its speed. In addition, using the MVGG16 network as the backbone of the Faster R-CNN provides better mean precision and shorter inference time than using VGG16, InceptionV3, or MobilNetV2 backbones. The proposed MVGG16 succeeds in balancing the pothole detection accuracy and speed.
Effectiveness and safety of catheter removal alone versus standard anticoagulation therapy after catheter removal for peripherally inserted central catheter (PICC)-related thrombosis

Background Currently, peripherally inserted central catheters (PICCs) are widely used; however, there are associated problems due to catheter-related thrombosis (CRT). According to the existing literature and guidelines, 3–6 months of anticoagulation therapy is recommended, but these recommendations are based on analogous deep vein thrombosis of the lower limbs. More specific management strategies need to be developed, and the safety and effectiveness of these strategies needs to be investigated. Methods Some studies have suggested that catheter removal alone is a reasonable option, especially for patients with a higher risk of bleeding. We conducted a retrospective study of hospitalized patients from a single center who were diagnosed with PICC-related thrombosis. Among the 85 patients who met the inclusion criteria, 63 patients were treated with catheter removal alone, and 22 patients received anticoagulation therapy after catheter removal. The progression of thrombosis and bleeding in the two groups were compared. Most patients who underwent catheter removal alone had hematological malignancies, and thrombocytopenia had occurred during chemotherapy. Results After PICC removal, no patients in the anticoagulation therapy group developed progressive thrombosis, while 10 patients in the catheter removal alone group developed progressive thrombosis or pulmonary embolism (PE), including one case of PE, four cases of secondary upper extremity deep vein thrombosis (UEDVT), and five patients showed obvious aggravation of thrombosis after catheter removal, and were administered repeated anticoagulant therapy. In the PICC removal + anticoagulation treatment group, major bleeding increased significantly (28.6% vs. 4.7%, P=0.006). Conclusions Compared to the PICC removal + anticoagulation treatment group, the risk of major bleeding in the catheter removal alone group was significantly reduced. In some patients with an increased bleeding risk, catheter removal alone may be a safer and more effective option than catheter removal with anticoagulation treatment for CRT.