Miracle-dz/UniFAR-FTUs huggingface dataset:
Breaking the Loop: Recursive Proofs for Coinductive Predicates in Fibrations

The purpose of this paper is to develop and study recursive proofs of coinductive predicates. Such recursive proofs allow one to discover proof goals in the construction of a proof of a coinductive predicate, while still allowing the use of up-to techniques. This approach lifts the burden to guess invariants, like bisimulation relations, beforehand. Rather, they allow one to start with the sought-after proof goal and develop the proof from there until a point is reached, at which the proof can be closed through a recursion step. Proofs given in this way are both easier to construct and to understand, similarly to proofs given in cyclic proof systems or by appealing parameterised coinduction. In this paper, we develop a framework for recursive proofs of coinductive predicates that are given through fibrational predicate liftings. This framework is built on the so-called later modality, which has made its appearance in type theoretic settings before. In particular, we show the soundness and completeness of recursive proofs, we prove that compatible up-to techniques can be used as inference rules in recursive proofs, and provide some illustrating examples.
A Local Approach to Creep-Fatigue -Oxidation Interactions in Inco 718 Alloy

Understanding and modeling hold time effects on fatigue crack growth rate (FCGR) above 500 °C in Inco 718DA is a great challenge. Fatigue tests with a trapezoidal wave shape signal including hold times from 90 s to 3600 s were carried out on Inco 718DA with a small grain size (5-15 μm) over a wide range of temperatures (500 °C-650 °C). FCGRs were measured using potential drop technique. SEM observations were carried out to correlate the measured FCGRs with the trans- or inter-granular aspect of the fatigue fracture surfaces. Two regimes must be distinguished. The first regime associated with relatively short hold times can be represented by a power law, where da/dN is proportional to tα, α ~ 0.25. This first regime corresponds to the situation where the fatigue crack does not propagate during the hold time but its propagation takes place during the cyclic part of the loading over a damaged zone ahead of the crack tip. The second regime associated with longer hold times corresponds to the case where crack propagation during hold time (creep crack growth) is predominant. This regime is purely time dependent. Simple models are introduced to describe both regimes.
p32 regulates ER stress and lipid homeostasis by down‐regulating GCS1 expression

Sustained endoplasmic reticulum (ER) stress plays a major role in the development of many metabolic diseases, including cardiovascular disease, nonalcoholic fatty liver disease, insulin resistance, obesity, and diabetes. p32 is a multicompartmental protein involved in the regulation of oxidative phosphorylation and glucose oxidation. p32 ablation is associated with resistance to age‐associated and diet‐induced obesity through a mechanism that remains largely unknown. Here, we show that p32 promotes lipid biosynthesis by modulating fatty acid‐induced ER stress. We found that p32 interacts with endoplasmic reticulum‐anchored enzyme mannosyl‐oligosaccharide glu‐cosidase I (GCS1), an ER lumen‐anchored glucosidase that is essential for the processing of N‐linked glycoproteins, and reduces GCS1 in a lysosome‐dependent manner. We demonstrate that increased GCS1 expression alleviates fatty acid‐induced ER stress and is critical for suppressing ER stress‐associated lipogenic gene activation, as demonstrated by the down‐regulation of Srebpl, Fasn, and Acc. Consistently, suppression of p32 leads to increased GCS1 expression and alleviates fatty acid‐induced ER stress, resulting in reduced lipid accumulation. Thus, p32 and GCS1 are regulators of ER function and lipid homeostasis and are potential therapeutic targets for the treatment of obesity and diabetes. —Liu, Y. , Leslie, P. L. , Jin, A. , Itahana, K. , Graves, L. M. , Zhang, Y. p32 regulates ER stress and lipid homeostasis by down‐regulating GCS1 expression. FASEB J. 32, 3892–3902 (2018). www.fasebj. org
Differences among total and in vitro digestible phosphorus content of meat and milk products.

OBJECTIVE Meat and milk products are important sources of dietary phosphorus (P) and protein. The use of P additives is common both in processed cheese and meat products. Measurement of in vitro digestible phosphorus (DP) content of foods may reflect absorbability of P. The objective of this study was to measure both total phosphorus (TP) and DP contents of selected meat and milk products and to compare amounts of TP and DP and the proportion of DP to TP among different foods. METHODS TP and DP contents of 21 meat and milk products were measured by inductively coupled plasma optical emission spectrometry (ICP-OES). In DP analysis, samples were digested enzymatically, in principle, in the same way as in the alimentary canal before the analyses. The most popular national brands of meat and milk products were chosen for analysis. RESULTS The highest TP and DP contents were found in processed and hard cheeses; the lowest, in milk and cottage cheese. TP and DP contents in sausages and cold cuts were lower than those in cheeses. Chicken, pork, beef, and rainbow trout contained similar amounts of TP, but slightly more variation was found in their DP contents. CONCLUSIONS Foods containing P additives have a high content of DP. Our study confirms that cottage cheese and unenhanced meats are better choices than processed or hard cheeses, sausages, and cold cuts for chronic kidney disease patients, based on their lower P-to-protein ratios and sodium contents. The results support previous findings of better P absorbability in foods of animal origin than in, for example, legumes.
Thrombomodulin‐dependent protein C activation is required for mitochondrial function and myelination in the central nervous system

Essentials The role of protein C (PC) activation in experimental autoimmune encephalitis (EAE) is unknown. PC activation is required for mitochondrial function in the central nervous system. Impaired PC activation aggravates EAE, which can be compensated for by soluble thrombomodulin. Protection of myelin by activated PC or solulin is partially independent of immune‐modulation.
Let-7a regulates expression of β1-adrenoceptors and forms a negative feedback circuit with the β1-adrenoceptor signaling pathway in chronic ischemic heart failure

Background The aim of the present study was to investigate the role of microRNA (miRNA) let-7a in down-regulation of β1-adrenoceptors (β1-AR) and elucidate the underlying mechanism of chronic ischemia heart failure (CIHF) in rats. Methods and Results CIHF model was established by occlusion of coronary artery for 4 weeks. β1-AR level was obviously down-regulated and let-7a up-regulated in the failing heart 4 weeks after myocardial infarction. Overexpression of let-7a inhibited β1-AR expression in neonatal rat ventricular cells (NRVCs), which was abolished by anti-let-7a antisense inhibitor. The lentivirus vector containing precursor let-7a (len-pre-let-7a) further down-regulated the reduced β1-AR level by CIHF and the effect was reversed by len-AMO-let-7a. Len-negative control did not produce any significant influence on β1-AR expression. Importantly, there exists a negative feedback loop associated with β1-AR regulation through β1-AR/cAMP/PKA/GATA4/let-7a/β1-AR signaling pathway in CIHF. As demonstrated, GATA4 was activated by β1-AR up-regulation through cAMP-PKA signaling pathway in early phase of ischemia, then GATA4 positively regulated let-7a expression which in turn suppressed β1-AR expression. Conclusions Let-7a regulates β1-AR expression and forms a negative feedback loop with β1-AR signaling pathway in ischemic heart failure. This study provides a new insight into the differential expression of β1-AR in early and later phase of myocardial ischemia.
Artificial-noise-aided secure communication with full-duplex active eavesdropper

In this paper, we investigate the performance of artificial noise assisted secure communication in the presence of a full-duplex active eavesdropper who can simultaneously perform eavesdropping and jamming. An approximate closed-form expression for the secrecy rate is derived. With this result, we obtain a new result for the optimal power allocation factor maximizing the secrecy rate, and analyze the impact of self-interference coefficient and jamming power on it. We further consider a more practical scenario where the legitimate user aims to maintain a given target data rate and uses all remaining power for artificial noise (AN) to interfere with the eavesdropper. While the eavesdropper tries to compel the transmitter to reduce the AN by sending jamming signals to the legitimate receiver. To solve this conflict, we introduce a power cost parameter to describe the impact of jamming on the eavesdropper itself and then formulate a game-theoretic framework. We also derive the closed-form equilibrium solutions for both sides. These results show the optimal jamming strategy of the eavesdropper and provide insights into the low bound secrecy performance. Finally, simulation results are provided to verify our analytical results.
Parallel Three-Phase Interfacing Converters Operation Under Unbalanced Voltage in Hybrid AC/DC Microgrid

Parallel interfacing converters (IFCs) with the same dc link are commonly used to handle higher power and currents. In hybrid AC/DC microgrids, they are used to connect ac and dc subsystems, called interlinking IFCs. However, researches on parallel IFCs under unbalanced voltage are quite limited. Considering the adverse effects of unbalanced voltage on a single IFC operation (such as output power oscillations, dc link ripples, and output current increase) and the possibility of aggregation of these effects for the parallel IFCs with common dc link, a novel control strategy for parallel IFCs with various power factors is proposed in this paper. The proposed control strategy cancels out active power oscillation of parallel IFCs, which results in oscillation-free dc link/subsystem voltage. In this paper, a thorough study on the peak current of individual and parallel IFCs is conducted, and their relationship with active power oscillation mitigation is analyzed. Based on analysis, it is proven that under zero active power oscillation, the collective peak current of parallel IFCs is constant under fixed average active and reactive powers. The proposed control strategy keeps the individual IFCs’ peak currents in the same phase with collective peak current of parallel IFCs, and thus ensures reduced peak current for redundant IFC.
Disturbance rejection based on equivalent-input-disturbance approach for nonlinear time-delay systems

A new disturbance rejection method to achieves good control performance for a nonlinear time-delay system is presented in this paper. This method effectively reject any disturbances. First, the configuration of the control system is constructed based on the equivalent-input-disturbance method. Then, a sufficient condition for global uniform ultimate boundedness and feedback controller are developed using linear matrix inequality. Finally, the effectiveness of the method is proved by a numerical simulation.
Effect of hybridization on the mode II fracture toughness properties of flax/vinyl ester composites

In this study, flax fiber reinforced and flax/basalt hybridized vinyl ester composites were produced and their interlaminar fracture toughness (mode II) behavior was investigated using the three-point bend end-notched flexural (3ENF) testing. From the results, the average of the maximum values for each group of specimen obtained for critical strain energy release rate GIIC and stress intensity factor KII for flax/vinyl ester specimens were 1,940 J/m2 and 134 kPam0.5. Similarly, GIIC and KII values recorded for hybridized specimens were 2,173 J/m2 and 178 kPam0.5, respectively. The results for the flax/basalt hybridized composites exhibited an improved fracture toughness behavior compared to flax/vinyl ester composites without hybridization. The cohesive zone modeling (CZM) was also used to predict the delamination crack propagation in mode-II in laminated composite structures. After the experimental study, the 3ENF specimens were modeled and simulated using ANSYS. The CZM/FEA results were in reasonable agreement with the experimental results. POLYM. COMPOS. , 2015. © 2015 Society of Plastics Engineers
Intraosseous Access to the Circulatory System: An Under-Appreciated Option for Rapid Access

In many emergency situations rapid vascular access is a priority, particularly in cases involving haemodynamic compromise. Traditional vascular access through the use of an intravenous cannula, although the preferred first line method, can in certain circumstances have a high rate of failure. A study by Minville et al (2006) showed that the success rate of first attempt venous cannulation can be as low as 76%. Repeated attempts at venous cannulation in patients with difficult vascular access wastes valuable time which in some situations could prove fatal.
Reconstruction d'un nuage de points 3D étant donné un modèle CAO a priori

Nous abordons dans cet article le probleme de la reconstruction de modeles CAO a partir de nuages de points acquis en environnement industriel, en nous appuyant sur des modeles 3D preexistants ainsi que sur des connaissances metier quant a la composition des environnements traites. Ces diverses connaissances a priori peuvent etre utilisees pour guider la reconstruction afin d'obtenir des modeles CAO fiables correspondant aux nuage de points. Nous concentrons plus particulierement notre travail sur le traitement des parties cylindriques. Nous proposons de formuler le probleme de la reconstruction comme la recherche de la configuration la plus probable vis-a-vis de multiples contraintes. Le probleme d'optimisation ainsi defini est resolu a l'aide d'une methode d'exploration stochastique de l'espace des solutions, basee sur l'ajout d'elements dans la configuration en cours de construction et la gestion gloutonne des conflits pouvant survenir, de maniere a ameliorer efficacement la configuration a chaque etape. Nous montrons que la methode proposee permet la reconstruction de modeles fiables en presentant quelques resultats obtenus sur une scene industrielle
Design Analysis of a Hexaband Slot Loaded Microstrip Patch Antenna using ANN

The designing of an antenna is a critical area for the present wireless communication system. It is important to maintain an agreement amongst gain, bandwidth, return loss and VSWR characteristics of antenna. In this paper an exclusive design concept for the circular patch antenna is introduced. Initially a circular microstrip patch antenna is designed and the performance of this new design is enhanced after applying different types of slotted perturbations in one half of antenna. The antenna performance is transformed from single band to multiband by employing ‘Y’ shape slotted structures. The proposed antenna represents quad band behavior at resonant frequencies 2.44 GHz, 6.48 GHz, 7 GHz and 8.25 GHz with a good value of return loss of -12.29 dB, -16.48 dB, -15 dB and -27.81 dB respectively. This design also represents VSWR between the specified range of 1 to 2 for the said resonant frequencies with an acceptable value of gain in dB. The antenna is designed and simulated with FEM based electromagnetic field solver. The proposed antenna design is suitable for WLAN, Radio astronomy, Passive sensors and Point to Point defense system wireless applications. The proposed antenna is analyzed for proper coaxial feed location using radial basis function neural networks. The results obtained using RBF neural networks are in a good agreement to the simulation results obtained using electromagnetic solver. The feed location provided by the RBF neural networks results in six band behavior.
Development of a minimalistic low-cost UAV platform for simple airborne measurements

For specific tasks in field phenotyping, e.g., georeferencing of new experimental plots for upcoming observations, there is the need of simple, often short-termed airborne measurements. For this scenario we developed a minimalistic low-cost UAV platform. This platform can be easily adapted to different sensor setups. Due to its price and simplicity it can be constructed multiple times and so be used simultaneously. A first version of our flexible UAV software framework (“SimpleUavAdapter”) is available and first test flights with simple measurements have been completed successfully. To further simplify the execution of GPS-triggered measurement tasks the development of a lightweight scheduling component (“FuRIOS client agent”) is planned.
Hybrid Computational Mechanical Sensorless Fuzzified Technique for Speed Estimation of Permanent Magnet Direct Current Brushed Motor

This paper proposes a novel fuzzified mechanical sensorless speed estimation technique for permanent magnet direct current (PMDC) brushed motor operated with pulse width modulation (PWM) based terminal voltage. For replacement of conventional mechanical speed sensors, few mechanical sensorless speed estimation techniques have been reported recently in the field of PMDC brushed motor. In this paper, a novel technique is applied over a recently reported semianalytical dynamic time-domain PMDC brushed motor model incorporating space-domain effects, namely slotting effect and commutation phenomenon to simulate the proposed estimation process. Ripple and back electromotive force based standalone estimation approaches are hybridized in order to eliminate uncertainties in all regions of estimation. In this paper, a discrete fuzzified hybrid speed estimation model has been proposed with adequate dynamic simulation responses. Further the proposed discrete speed estimation model has been applied experimentally over a PWM-driven 24-V, 12-teeth, 100-W PMDC brushed motor and various dynamic real-time responses have been compared with conventionally captured speed samples to validate the proposed model.
A Voice-Based Mobile System for Generating Stallings-Type Class Observations

Classroom observation is an important tool for improving quality of education. Observations allow teacher trainers to monitor, assess, and provide feedback to teachers about their teaching techniques and class management practices. The current approach to class observation consists of an observer visiting a classroom once or twice a year. This is both costly in terms of time and resources, insufficient in terms of capturing the true state of the classroom, and in providing accurate feedback. This paper presents the design and implementation of a mobile-based system that automates the class observation process using data mining techniques. The system allows teachers to record audio snapshots during the class session, and receive Stallings-type analysis results for their class on a daily basis.
A wearable UHF RFID tag antenna with Archimedean spiral strips

In this work, a wearable RFID tag antenna is proposed. The antenna employs Archimedean spiral strips, minimizing the antenna's size. To adjust the input resistance, the antenna uses T-Match technique. The ultimate size is a circular with a diameter of 32 mm with the center frequency of 915 MHz. For low-cost fabrication, the antenna is only one-layer copper. Good match with two different types of chip are achieved. Furthermore, we simulated two different environments, one is air and the other is on wrist, and both have good performances in terms of reflection coefficients and gain. In air, the reading distance is up to 12 m and shows a good omni-directivity. When used on wrist, the reading distance is up to 8 m and presents unilateral directivity.
Detection technique for hardware Trojans using machine learning in frequency domain

Recently, the threat of hardware Trojan has been highlighted. A hardware Trojan is a hardware virus. When predetermined conditions are satisfied, that malicious virus performs subversive activities, such as a system shutdown and the leaking of important information, without the circuit users even being aware of that activity. Therefore, it is important to detect the consumer electronic devices with hardware Trojans from a viewpoint of security. This study proposes a new detection technique for hardware Trojan. The proposed method introduces machine learning for the detection. Experiments using actual devices prove the validity of the proposed method.
Energy Efficient Scheduling of Real-Time Tasks in Cloud Environment

Demand for cloud computing has increased tremendously in recent time due to various benefits. Along with providing promised services, the cloud providers also need to focus on the amount of energy consumption as it has many-fold benefits. Again scheduling algorithms play an important role in minimizing the energy consumption of a system. Thus, in this paper, we have proposed approaches for scheduling real time tasks on a virtualized cloud system without missing their deadlines and minimizing the overall energy consumption of the cloud system. We have divided the problem of scheduling real-time tasks on virtualized cloud system into four sub problems, analyzed and solved them separately. We have provided exact solutions for scheduling of one type of real time tasks (sub problem 1), created an approximated model for scheduling of two types of real time tasks with same deadline (sub problem 2). We have also extended the same approximated model for scheduling of many real time tasks with same deadline (sub problem 3). Finally, we came up with four different approaches for scheduling of general real time tasks using deadline clustering approach (sub problem 4) and compared their performance in minimizing the overall energy consumption of the cloud system.
Gender Representation of Osteoporosis in Patients with Urolithiasis

Introduction: A great number of clinical studies has indicated that the patients with calcium urolithiasis have a reduced mineral bone density. Aim: The aim of our research was to establish representation of osteoporosis, by measuring mineral bone density using the DEXA method, in patients with calcium urolithiasis, by gender. Material and methods: The research was a prospective one, performed at the University Hospital of the Clinical Center of Banja Luka, at the Urology Clinic and Clinic for Endocrinology, Diabetes and Metabolic Diseases. The material in this research were the patients divided into two groups: a working group (the patients suffering from calcium urolithiasis) and a control group (the patients without calcium urolithiasis). One hundred and twenty (120) patients were included in both these groups, divided in three age subgroups: 20-40, 40-60 and over 60. The total working group consisted of 63 men (52.2%) and 57 (47.5%) women. In the control group, the number of women was 72 (60%) and 48 (40%) of men. Establishing of mineral bone density at L2-L4 of lumbal spine vertebrae and hip was done for the patients in both these groups, using DEXA method. Results: Analysis of mineral bone density using DEXA method in patients by gender of working and control groups has shown that osteoporosis and osteopenia in patients of the working group is significantly more present in women (14% and 22.8%) compared to men (1.6% and 17.5%). When compared by gender in the control group, osteoporosis was present a lot more in women (36.1%) compared to men (2.1%). When observed for the total sample of both the working and control group, there was a statistically significant difference (p<0,01) related to gender structure, where the share of women with osteoporosis/osteopenia was significantly higher (36.1%) compared to men (4.2%). Conclusion: Representation of osteoporosis in women with urolithiasis, particularly of older age, is very expressed and this is why prevention measures should start as soon as possible, so as to avoid severe complications of this illness.