Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of UAV Communications in Cell-Free Massive MIMO Systems

We study support for unmanned aerial vehicle (UAV) communications through a cell-free massive MIMO architecture, wherein a large number of access points (APs) is deployed in place of large co-located massive MIMO arrays. We consider also a variation of the pure cell-free architecture by applying a user-centric association approach, where each user is served only from a subset of APs in the network. Under the general assumption that the propagation channel between the mobile stations, either UAVs or ground users (GUEs), and the APs follows a Ricean distribution, we derive closed form spectral efficiency lower bounds for uplink and downlink with linear minimum mean square error channel estimation. We consider several power allocation and user scheduling strategies for such a system, and, among these, also minimum-rate maximizing power allocation strategies to improve the system fairness. Our numerical results reveal that cell-free massive MIMO architecture and its low-complexity user-centric alternative may provide better performance than a traditional multi-cell massive MIMO network deployment.
Mechanical properties of CNT-grafted carbon fiber composites

We prepared hierarchical CNT-grafted carbon fibers (CFs) without their mechanical degradation by chemical vapor deposition (CVD). Ni-Fe bi-metallic catalyst system was used to lower CVD temperature and thus prohibit the diffusion of catalyst particles into the CF, enabling to maintain the mechanical properties of the CFs. Various CNT-grafted CF composites were manufactured using CNT-grafted CFs and their mechanical properties were evaluated, focusing on the effects of CNT-grafted CF on the mechanical properties of the composites.
Succinate Dehydrogenase: Assembly, Regulation and Role in Human Disease

Mitochondrial succinate dehydrogenase (SDH) whose regulation and assembly requires additional factors that are beginning to be discovered. SDH that has been subject to a focused but significant renaissance consists of four unclearly encoded subunits. Mutations in the structural gene subunits (SDHA, B, C and D) of the complex itself cause a variety of human diseases. SDH-A pathogenic mutations have been reported to cause an encephalomyopathy in childhood, while mutations in the genes encoding the other three subunits have been associated only with tumour formation. It participates in the electron transport in the respiratory chain, and in succinate catabolism in the Krebs cycle. SDH is also called the electron transport chain complex II and it has been the least studied of the mitochondrial respiratory five complexes. It has seen renewed interest, because of its role in human disease. Following a brief description of SDH genes and subunits, we examine the properties and roles of SDH in the mitochondria. The mechanisms underlying the pathogenesis of SDH mutations are beginning to be understood. We stress the importance of SDH in a number of diseases and the need to better delineate the consequences of SDH deficiency in human.
Design of a Linear Actuator for Soft Robotics Applications

This study involves the design, construction and experimentation of a novel linear tubular direct-drive triphasic actuator with the stator comprised of a single sided printed flexible circuit for soft robotic applications in exoskeletons and active orthosis. First it’s introduced the actuator characteristics and possible configurations, topologies as well as their constraints being after set the optimization goals. A electromagnetic theoretical model is developed being the predicted force withdrawn of the configuration that brings more advantages. A transient thermal study of the is employed using the electric analog method. The various stages of the prototype’s manufacturing are present going through each step in detail until completion. Electromagnetic and thermal theoretical models are validated at the expense of several experiments. Relevant actuator characteristics as the precision and maximum velocity are investigated.
A STRATEGY FOR UAV PERFORMANCE ENHANCEMENT THROUGH ATMOSPHERIC ENERGY EXTRACTION USING MPC TECHNIQUES

The need for efficient propulsion systems allied to increasingly more challenging fixed–wing UAV mission requirements has led to recent research on the autonomous thermal soaring (ATS) field with promising results. As part of that effort, the feasibility and advantages of modal predictive control (MPC) based guidance and control algorithms capable of extracting energy from updrafts have already been demonstrated numerically. However, given the nature of the dominant phenomena, a nonlinear optimal control problem results. Since it may be of large order, implementation and real–time operation difficulties may arise. Knowing that, an alternative MPC– based ATS controller designed to yield a simple and small nonlinear programming problem to be solved online is presented herein. In order to accomplish that, linear prediction schemes are employed to impose the differential constraints, thus no extra variables are added to the problem and only linear bound restrictions result. For capturing the governing nonlinear effects during the climb phase, a simplified representation of the aircraft kinematics with quasi–steady corrections is used by the controller internal model. Simulation results using a 3 degree–of–freedom model subjected to a randomly generated time varying thermal environment show that the aircraft is able to locate and exploit updrafts, suggesting that the proposed algorithm is a feasible MPC strategy.
On efficiency improvement of grid applications

Grid computing technology addresses the growing need for computing resources in simulation-based engineering and science (SBES). However, optimal performance of grid computing technology requires ‘virtually tightly coupled’ computing resources. This, though, may not be economically available in many research societies. In this work, we propose a new approach to improve performance of a typical parallel application for SBES on a ‘virtually not tightly coupled’ grid computing environment. To this end, we have proposed, implemented, and investigated the performance of a new grid programming technique based on the Global Arrays toolkit and multi-level topology-aware approach. We have found that performance of the evaluating application implemented with this new technique outperforms both MPICH-G2 and native Global Arrays implementations, but is still comparable to that of the application implemented with OpenMP, the native Symmetric-Multi Processors programming.
The Relationship between Knee Adduction Moment and Knee Osteoarthritis Symptoms according to Static Alignment and Pelvic Drop

Objectives To investigate the relationship between external knee adduction moment (KAM) and knee osteoarthritis (OA) symptoms according to static alignment and pelvic drop. Methods Ninety-five participants with symptomatic knee OA were included. Radiographic severity was graded by Kellgren and Lawrence (KL) scale. The hip-knee-ankle (HKA) angle was used to assess limb alignment from a full-length lower-limb radiograph. KAM-related variables (peak KAM and KAM impulse) and pelvic drop angle were determined from 3D gait analysis. Symptoms were assessed via visual analog scale (VAS) for pain and hospital for special surgery (HSS) score for physical function. The relationship between KAM and symptoms was evaluated according to radiographic severity and pelvic drop using linear models. Results According to the more affected knee in the varus group, both the two KAM-related measures (peak KAM and KAM impulse) were positively associated with greater VAS pain and were negatively associated with HSS score. Only peak KAM was correlated with VAS and HSS in the valgus group. VAS pain score of the more affected knee was positively correlated with pelvic drop angle. Stratified by pelvic drop angle, KAM-related variables were more positively associated with VAS pain and negatively associated with HSS score for patients with pelvic drop angle ≤3 degrees. The relationships between KAM and symptoms according to radiographic disease severity remained confusing. Conclusions Static alignment and pelvic drop angle significantly affected relationships between KAM-related variables and knee OA symptoms, which may explain the confusing results as shown by previous studies.
How continuing exporters set the price? Theory and empirical evidence from China

In this paper, we build a dynamic game model of quantity competition to explain the price difference between continuing exporters and exits. Continuing exports are forward looking and they may intentionally set a lower price in the export market at current stage to crowd out the competitors to maximize the overall expected profit in their total life period. Using a large sample of matched panel data of Chinese firms from firm-level production data and product-level trade data, we find that after controlling the most important determinants of export price as well as the firm-year-specific effects, continuing exporters charge a price 42.4%-54.0% lower than the price level charged by future exits in China.
A retrospective study about the outcome of vaginal delivery after cesarean section in Madinah, Saudi Arabia

Background: Recent trends in cesarean section (CS) have led to worldwide concern because of their steady increase and risks of maternal complications. This study aimed to assess the success rate and safety of vaginal delivery after CS in cases of a previous CS. Methodology: This was a retrospective observational study performed at Maternity and Children Hospital at Madinah, Saudi Arabia, in 2016–2017, among 120 women who underwent a previous CS. Results: In the present study, 93% of cases had a successful vaginal delivery after CS and 7% underwent a repeated CS for a failed trial of vaginal delivery. Women with parity <3 had a good chance of vaginal delivery than women with parity >4. Birth weight of more than 3.5 kg was associated with a lower success rate of vaginal delivery. However, 94% of the cases were delivered vaginally after the CS without postpartum complications, and there was no neonatal or maternal mortality. Conclusion: Women with the history of a previous CS were considered more favorable for vaginal delivery. The study showed the high success of vaginal birth after CS and fewer maternal and neonatal complications.
IJSRD-International Journal for Scientific Research & Development| Vol. 3, Issue 04, 2015 | ISSN (online): 2321-0613

Data stream are generated from many sources. This Data streams are needed to be transformed into significant information to take more effective decisions. Clustering is the best way for analyzing data streams. The material on clustering is very large.Many clustering algorithms are available for data stream which uses k-means algorithm as a base. Clustream algorithm is one of the examples of it. Main drawback of such k-means based data stream clustering algorithm (Clustream) is that user has to give no. of cluster (k) in advance. Many times it happens that user does not know detail about the data and gives value of k randomly. In this type of case we will not get satisfactory result. i.e. we can’t get proper quality of clusters. To tackle the above mentioned problem, we have proposed the framework. According to it, we will use another algorithm to find appropriate no. of clusters in advance. Here we used Bisecting k-means algorithm to find no. of clusters for data stream. So we have combined the clustream algorithm with bisecting approach for finding best quality clusters without interference of user to fix value of no. of cluster at user side.
Putting relevance at centre stage in research on human activity on the Internet

Years ago, Internet was a mere complement to our physical activities, a limited text-based environment we had to log onto, a poor cues-filtered scenario for human communication. Nowadays, by contrast, Internet is hybridised and imbricated in our daily lives. We do not log onto the Net since we never really get disconnected from it. Instead of paying to get Internet connection, today many users would rather pay to get disconnected from it. Besides, we do not need computers to access the Net; we carry it with us on our mobile phones. As a consequence, we now devote an enormous amount of mental activity and time to obtaining information and communicating with others online, either through text or with the aid of pictures, video and multimodal combinations of verbal and visual inputs. The development of Internet use has increased radically and nowadays, with the aid of smart phones and tablets, it is accessible everywhere. What is especially interesting in the context of this relevance-centred book is the increasing mesh of our physical and virtual lives with the aid of technology, how we combine traditional physical settings and virtual spaces to manage our networks of friends and relatives (Yus 2005b, 2007), how our identities are increasingly shaped in virtual scenarios (Yus 2002, 2012b). As Turkle (2011) summarizes, nowadays technology is “always on, always on us. ” According to relevance theory (Sperber and Wilson 1995), we always aim at obtaining rewards (positive cognitive effects) in exchange for an adequate amount of mental effort (on paper, the less effort the higher relevance) when we process inputs (mental, verbal, visual, multimodal, etc.). This search for relevance is an evolved capacity, rooted in human psychology, and hence it is at work in any human processing of information, regardless of whether it takes place in physical or virtual scenarios. The aim of this chapter is to show that relevance theory not only explains human-to-human communication on the Internet, but can be extended to all human search and exchange of information on the Net, including interactions that take place between users and computer systems. Four areas of relevance-driven processing will be studied in the next headings: (a) relevance sought by the system for the user; (b) relevance sought by the user in the system; (c) relevance sought by the user in another user’s coded input (e.g. an utterance); and (d) relevance sought by the user in a group of users.
L-Carnitin aus ernährungsmedizinischer und ernährungswissenschaftlicher Sicht

The natural substance L-Carnitine transports long-chain fatty acids from the cytosol to the interior of the mitochondria, were they are burned. Therefore L-Carnitine is the key substance for the generation of energy from fats, but it is much more than a mere “fat burner”. L-Carnitine is involved in many biochemical processes in the organism. If L-Carnitine is administered in a concentrated form, the following effects have been shown: during pregnancy it can protect mother and child from diseases, in the case of heart diseases it has a positive effect on the heart,itimprovestheinsulinsensitivity,itstimulatestheregenerationofthemus-cles after strain, and reduces oxidative stress. The human body itself can produce L-Carnitine from the amino acids L-Lysine and L-Methionine. A supplementation of L-Carnitine makes sense during phases of an increased need for carnitine or in the caseofa carnitine deficiency, asit can occurin dialysispatientsandsecondary during pregnancy. During endurance sport as well as a vegetarian diet there are significantly reduced levels of L-Carnitine.
How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity

Discrete choice experiments (DCEs) are economic tools that elicit the stated preferences of respondents. Because of their increasing importance in informing the design of health products and services, it is critical to understand the extent to which DCEs give reliable predictions outside of the experimental context. We systematically reviewed the literature of published DCE studies comparing predictions to choices made in reality; we extracted individual-level data to estimate a bivariate mixed-effects model of pooled sensitivity and specificity. Eight studies met the inclusion criteria, and six of these gave sufficient data for inclusion in a meta-analysis. Pooled sensitivity and specificity estimates were 88% (95% CI 81, 92%) and 34% (95% CI 23, 46%), respectively, and the area under the SROC curve (AUC) was 0.60 (95% CI 0.55, 0.64). Results indicate that DCEs can produce reasonable predictions of health-related behaviors. There is a great need for future research on the external validity of DCEs, particularly empirical studies assessing predicted and revealed preferences of a representative sample of participants.
CAMA Centre for Applied Macroeconomic Analysis Selective Reporting and the Social Cost of Carbon CAMA Working Paper 28 / 2015 August 2015

We examine potential selective reporting (publication bias) in the literature on the social cost of carbon (SCC) by conducting a meta-analysis of 809 estimates of the SCC reported in 101 studies. Our results indicate that estimates for which the 95% confidence interval includes zero are less likely to be reported than estimates excluding negative values of the SCC, which might create an upward bias in the literature. The evidence for selective reporting is stronger for studies published in peer-reviewed journals than for unpublished papers. We show that the findings are not driven by the asymmetry of the confidence intervals surrounding the SCC and are robust to controlling for various characteristics of study design and to alternative definitions of confidence intervals. Our estimates of the mean reported SCC corrected for the selective reporting bias range between USD 0 and 134 per ton of carbon at 2010 prices for emission year 2015. T H E A U S T R A L I A N N A T I O N A L U N I V E R S I T Y
The Application of Hyaluronic Acid-Based Hydrogels in Bone and Cartilage Tissue Engineering

At present, the healing of osteopathy, especially the healing of cartilage, has been proven to be difficult. Commonly used treatment methods are autogenous bone grafts and allogeneic bone grafts, but grafts cannot fully meet the clinical treatment requirements due to problems related to the source, price, immunity, and other concerns. Thus, the combination of biomaterials and tissue engineering technology has become a new direction in research. Among studies on tissue engineering bone and cartilage materials, hydrogels that show biological activity, absorbability after degradability, plasticity, and easy preparation have become the focus. Hydrogels are used as extracellular matrix mimics. Although various materials are able to form hydrogels, hyaluronic acid and its derivatives are prominently used. Hyaluronic acid hydrogels have many advantages, such as promoting cell adhesion and proliferation and wound healing. They also demonstrate sufficient biological activity for stimulating a microenvironment for cell survival. However, their disadvantages require further modification and include a poor degradation rate and insufficient mechanical performance. In this paper, hyaluronic acid-based hydrogels, their modifications, applications, and mechanisms, as well as new techniques for processing hyaluronic acid hydrogels in bone and cartilage tissue engineering, are briefly reviewed, and their future prospects and directions for future work are discussed.
Many-body localization, thermalization, and entanglement

Thermalizing quantum systems are conventionally described by statistical mechanics at equilibrium. However, not all systems fall into this category, with many body localization providing a generic mechanism for thermalization to fail in strongly disordered systems. Many-body localized (MBL) systems remain perfect insulators at non-zero temperature, which do not thermalize and therefore cannot be described using statistical mechanics. In this Colloquium we review recent theoretical and experimental advances in studies of MBL systems, focusing on the new perspective provided by entanglement and non-equilibrium experimental probes such as quantum quenches. Theoretically, MBL systems exhibit a new kind of robust integrability: an extensive set of quasi-local integrals of motion emerges, which provides an intuitive explanation of the breakdown of thermalization. A description based on quasi-local integrals of motion is used to predict dynamical properties of MBL systems, such as the spreading of quantum entanglement, the behavior of local observables, and the response to external dissipative processes. Furthermore, MBL systems can exhibit eigenstate transitions and quantum orders forbidden in thermodynamic equilibrium. We outline the current theoretical understanding of the quantum-to-classical transition between many-body localized and ergodic phases, and anomalous transport in the vicinity of that transition. Experimentally, synthetic quantum systems, which are well-isolated from an external thermal reservoir, provide natural platforms for realizing the MBL phase. We review recent experiments with ultracold atoms, trapped ions, superconducting qubits, and quantum materials, in which different signatures of many-body localization have been observed. We conclude by listing outstanding challenges and promising future research directions.
Cardioprotective Effects of Dietary Phytochemicals on Oxidative Stress in Heart Failure by a Sex-Gender-Oriented Point of View

Dietary phytochemicals are considered an innovative strategy that helps to reduce cardiovascular risk factors. Some phytochemicals have been shown to play a beneficial role in lipid metabolism, to improve endothelial function and to modify oxidative stress pathways in experimental and clinical models of cardiovascular impairment. Importantly, investigation on phytochemical effect on cardiac remodeling appears to be promising. Nowadays, drug therapy and implantation of devices have demonstrated to ameliorate survival. Of interest, sex-gender seems to influence the response to HF canonical therapies. In fact, starting by the evidence of the feminization of world population and the scarce efficacy and safety of the traditional drugs in women, the search of alternative therapeutic tools has become mandatory. The aim of this review is to summarize the possible role of dietary phytochemicals in HF therapy and the evidence of a different sex-gender-oriented response.