Miracle-dz/UniFAR-FTUs huggingface dataset:
Reliable Multicast D2D Communication Over Multiple Channels in Underlay Cellular Networks

Multicast device-to-device (D2D) communications operating underlay with cellular networks is a spectral efficient technique for disseminating data to the nearby receivers. However, due to critical challenges such as, mitigating mutual interference and unavailability of perfect channel state information (CSI), the resource allocation to multicast groups needs significant attention. In this work, we present a framework for joint channel assignment and power allocation strategy to maximize the sum rate of the combined network. The proposed framework allows access of multiple channels to the multicast groups, thus improving the achievable rate of the individual groups. Furthermore, fairness in allocating resources to the multicast groups is also ensured by augmenting the objective with a penalty function. In addition, considering imperfect CSI, the framework guarantees to provide rate above a specified outage for all the users. The formulated problem is a mixed integer nonconvex program which requires exponential complexity to obtain the optimal solution. To tackle this, we first introduce auxiliary variables to decouple the original problem into smaller power allocation problems and a channel assignment problem. Next, with the aid of fractional programming via a quadratic transformation, we obtain an efficient power allocation solution by alternating optimization. The solution for channel assignment is obtained by convex relaxation of integer constraints. Finally, we demonstrate the merit of the proposed approach by simulations, showing a higher and a more robust network throughput.
Resource Efficient Relaying for Multicasting Transmissions over Radio Channels

Device-to-device relaying can be applied to wireless multicasting to help reach a group of users in a resource efficient manner. Earlier work has focused on the resource efficiency of the relaying part, via subcluster partition and cluster head selection. We have extended that work to include the transmission part from a base station. We have reformulated the optimal subcluster partition algorithm and devised two sub-optimal heuristic algorithms to speed up the process of finding the cluster head and sharing the resources. The algorithms’ performance have been assessed through simulations by comparing them to the optimal exhaustive search algorithm. The simple partition algorithm reduces the processing time by a factor of 4 while the resource efficiency stays optimal 90% of the time. The one-shot algorithm for deciding the transmission from the base station reduces the processing time by a factor of 20 while increasing the costs by less than 20% for 90% of the cases. This fast and efficient algorithm can be applied, for example, to safety messages multicasting in vehicular scenarios, for which delays need to be minimal.
Automatic Registration of Optical and SAR Images Via Improved Phase Congruency Model

In this article, we propose an automatic and efficient method to solve optical and synthetic aperture radar (SAR) image registration using the improved phase congruency (PC) model. First, evenly distributed keypoints are extracted from the optical images via the block-Harris method. Complementary grid points are then selected in image regions with poor structural information and supplemented to the keypoint set. For each keypoint, a robust feature representation that captures the local spatial relationship is proposed based on the improved PC model. Specifically, we propose to use two different PC models, the classic PC and the SAR-PC, to construct features for optical and SAR images, respectively. The PC features of several directions are aggregated to construct the feature descriptors, and a similarity metric via the phase correlation of feature descriptors is obtained. The proposed similarity metric cannot only find accurate correspondence but also present efficient results without presetting the size of the search region. We compare the proposed method with two baselines and state-of-the-art (SOTA) methods, i.e., OS-SIFT, histogram of oriented PC, and channel features of oriented gradients, in various scenarios. The results show that the proposed method outperforms the baselines and shows comparable performance with SOTA methods in regions with abundant structural information and better performance in regions with less structural information. Moreover, we build a high-resolution optical and SAR image matching dataset, which consists of 10 692 nonoverlapping patch pairs of $256\times 256$ pixels and 1-m resolution. Results of two benchmarks, Siamese deep matching network, and conditional generative adversarial networks show that this dataset is practical and challenging.
Integrating security evaluations into virtual commissioning

Virtual commissioning is an important part of modern plant and factory organization. Research in this area focuses on safety, reliability, liveness, and repeatability. Security evaluations are currently not considered in virtual commissioning research and applications. Vulnerabilities in controller software and in the implementation of industrial equipment are receiving increased attention from attackers and cyber criminals. This is due to the rapidly advancing interconnection in modern, digital factories. This increase of the possible attack surface needs to be addressed as a part of comprehensive risk analysis within the domain of Industrie 4.0. Virtual commissioning, as an established process, is well-suited to address this lack of security evaluation. In this work, we propose a conceptual architecture for a simulation testbed that can be integrated in the virtual commissioning toolchain and show how to model and evaluate industrial equipment.
Collaborative Caching in Cellular based IoT Network Considering the Data Lifetime

Internet of Things (IoT) devices are usually limited by battery capacity. Thus, Saving energy consumption of IoT devices is meaningful. By caching IoT data at intermediate nodes to avoid frequent activation of IoT devices to reduce energy consumption. We propose a novel collaborative caching in cellular based IoT network considering the data lifetime to ensure the effectiveness of the cache. The relationship between data lifetime and user access rate determines whether data is cached. With the help of a joint optimization scheme, we unite the problems of capacity allocation and content placement in a hierarchical cache-enabled architecture. We define the formulation of the joint problem to maximize the reduction in energy consumption. Two heuristic algorithms proposed in this paper to reduce the complexity of the problem. Extensive simulations have been performed to prove that our proposed scheme can dynamically adapt to changes in the request rate and outperform existing schemes in terms of energy savings.
Miniature Fizeau Interferometric Thermometer

Precise measurement of temperature is vital in a variety of industries and basic sciences. Numerous techniques have been proposed for temperature measurement, such as fiber Bragg gratings and Fabry–Perot interferometers. Despite several important accomplishments, such optical thermometers are still limited in their performances. Two major limitations are the low operational temperature and the paradox between a large dynamic range and a high resolution. Here, we propose a fiber-optic thermometer based on fiber-tip microspherical Fizeau interferometer made from high temperature-resistant material. The sensor is fabricated by inserting a section of single-mode fiber into a spherical microcavity to form a Fizeau interferometer. Thanks to the thermo-optic effect and thermal expansion effect, the variation of ambient temperature modifies the refractive index and the interferometric length of the microcavity, and then a corresponding change in the interferometric spectrum can be observed. The demodulation method is based on the combination measurement of interferometric fringe shift and free spectral range variation, which is capable of providing high resolution and wide dynamic range. Experimental results show that by using a simple wavelength tracking demodulation method, a sensitivity of 22 pm/°C with a high resolution and a dynamic range over 1000 °C can be achieved. Since the sensor is of small size, it exhibits fast response and recovery time which mean it can monitor ambient temperature variation in real time. Additionally, the structure is robust and compact which makes the technology an interesting alternative to conventional thermometers for temperature measurement.
Evaluation of the effect of ultraviolet light polymerized clear adhesive on shear and tensile bond strength of heat cure denture base resin to the cobalt-chromium retentive minor connector: An in vitro study

Aim: The aim of this study is to evaluate the efficacy of new material ultraviolet (UV) light polymerized clear adhesive on shear and tensile bond strength of heat cure denture base resin (Polymethylmethacrylate (PMMA)) to cobalt-chromium (Co-Cr) retentive minor connector. Setting and Design: Comparative evaluation- In-vitro study. Materials and Methods: Sixty samples of Co-Cr plates mimicking minor connectors were fabricated. Thirty samples were coated with new material UV light polymerized clear adhesive and cured under UV light source for 10 min. In gun-metal flask, metal plates were placed in the lower compartment over it. Heat cure acrylic resin was packed in the dough stage with the help of clamps and processed according to the manufacturer's instructions. Samples were kept in artificial saliva for 90 days. Shear and tensile bond strengths were calculated of each sample with a Universal testing machine, and results were statistically analyzed. Type of bond failure was observed for each sample under stereomicroscope. Statistical Analysis Used: Unpaired t test. Results: Tensile bond strength, as well as shear bond strength, showed that 0.93 N and 1.64 N respectively for without application of new adhesive was more as compared to that of samples with the application of new adhesive which is 0.75 N and 1.54 N respectively. Bond failure was found to be an adhesive failure in resin–metal interface. Conclusions: Excellent bonding seen between the new adhesive and acrylic interface but limited effect on the metal interface. To increase bond strength between metal and resin interface, some surface treatment with the metal surface is needed to increase the bonding of the new adhesive to the metal surface.
The evaluation of agreement between high-frequency ultrasonography and research diagnostic criteria for the diagnosis of temporomandibular joint internal derangements

Aim: The aim of this study is to compare the diagnosis of patients with temporomandibular joint (TMJ) internal derangements which had been diagnosed using Research Diagnostic Criteria/Temporomandibular Disorders (RDC/TMD) with the dynamic high resolution sonography findings. Settings and Design: Axis I section of RDC/TMD form had been applied to participants. Participants were divided into three groups as healthy TMJ, disc displacement with reduction, and disc displacement without reduction. The diagnoses had been compared with the dynamic high-resolution sonography findings. Materials and Methods: Twelve of the patients had been treated with laser therapy, whereas 13 patients were treated with stabilization splint. Seventeen patients were treated with anterior repositioning splint (n = 42). After the application of different treatment modalities, the position of the articular disc had been determined with Axis I of RDC/ TMD form and dynamic high-resolution sonography. The findings were compared and statistically analyzed. Statistical Analysis Used: Statistical analyses of data were analyzed with Turcosa Cloud (Turcosa Ltd Co, Turkey). Results: For the right TMJ, pretreatment and posttreatment ultrasonography (USG) diagnoses and RDC/ TMD clinical diagnoses were found similar (κ = 0.125–0.008). No statistically significant relationship was found (P > 0.05). For the left TMJ, pretreatment USG diagnosis and RDC/TMD clinical diagnose were found similar (κ = 0.070). No statistically significant relationship was found (P > 0.05). For the left TMJ, posttreatment USG diagnosis and RDC/TMD clinical diagnose were compared. A statistically significant difference was found (κ = 0.256). A statistically significant relationship was found (P < 0.05). Conclusions: Axis 1 of RDC/TMD form which is used for the diagnosis of internal derangements and dynamic high resolution sonography was not found in the agreement.
Fractional Quantization of the Hall Effect

Fractional quantization of the Hall effect and the two-dimensional structures in which it occurs are described. The fractional quantization to date has been observed in high mobility modulation-doped AlxGa1−xAs/GaAs heterostructures at high magnetic fields and low temperatures where all electrons lie in the lowest Landau level. At certain fractional Landau level occupations v = p/q (q = 3, 5, 7; p = 1, 2, 3.) minima and Hall resistance plateaus develop. The value of the Hall resistance, ρ xy, approaches h/ve2 at the plateaus. The observed phenomena and their temperature dependence suggest the occurrence of a series of correlated electron states at fractional occupation of the lowest Landau level. Both two-dimensional electron and hole systems exhibit fractional quantization.
Coronavirus disease-2019 infection among health-care professionals: predisposing factors and preventive strategies

The Corona Virus Disease-2019 (COVID-19) infection has been reported among all, regardless of their region, nation, ethnicity, religion, age-group, gender, socioeconomic class and work profile. Against this novel viral infection, the health care workers are the only group of professionals who are working right from the day one, when the first case was reported and nothing was known about the infection. It is extremely important to protect health care professionals from infection both in the hospital and community settings. A wide range of factors has been attributed to the acquisition of infection among health workers in hospital settings. In conclusion, the role of health care professionals in the containment of the COVID-19 pandemic is of utmost importance and thus it is crucial to get more epidemiological insights about the infection and thus ensure their safety and well-being in the workplace.
Clinical, electrophysiological, and histopathological profile of biopsy-proven vasculitic neuropathy

Background: Vasculitic neuropathies are an uncommon heterogeneous group of nerve disorders characterized by inflammation of the vasa nervorum, which may be either systemic vasculitic neuropathy (SVN) or non-SVN (NSVN). Settings and Design: This is a retrospective, observational study. Materials and Methods: Nerve biopsy-proven cases of vasculitic neuropathy (VN) from January 2011 to December 2017 were included in the study. Results: Twenty-five percent (40/156) patients had vasculitis on biopsy, 62.5% were male and the mean age was 52.8 ± 14.9 years. The median (interquartile range) duration of symptoms before diagnosis was 75 (345) days. Thirty (75%) patients had NSVN and 10 (25%) patients had SVN. The clinical pattern of peripheral nervous system involvement was as follows: 20 (50%) had polyneuropathy, 13 (32.5%) had mononeuritis multiplex, and 7 (32.5%) had polyradiculoneuropathy. Twenty-three (57.5%) patients received immunomodulatory therapy. Conclusion: VN has a wide spectrum of clinical presentation. High index of suspicion followed by nerve biopsy is needed for diagnosis. Early treatment may improve prognosis in this group of patients.
Comparison of the effectiveness of endotracheal tube holder with the conventional method in a manikin model

OBJECTIVES: Endotracheal tube (ETT) displacement occurs by improper fixation. To fix an ETT, many types of fixation tools are employed. Thomas tube holder is one of the fixation tools widely used in many countries. This study aims to compare the ETT fixation using the Thomas tube holder with the conventional method (adhesive tape) in a mannequin model. METHODS: The fixation tools were random, using the box of six randomizes to Thomas tube holder and conventional method. After fixation, the mannequin model was being logged roll, chest compression by automated chest compression machine, and transported by the paramedic. The time to ETT fixation and displacements were recorded. RESULTS: The mean time (standard deviation) to fixate an ETT was shorter (33.0 s [7.3]) with a Thomas tube holder compared to adhesive tape (52.6 s [7.3], P < 0.001). The number and proportion of the ETT displacements were significantly less with Thomas tube holder compared to adhesive tape during log roll (16, 35.6% vs. 29, 64.4%, P = 0.011), chest compression with automated machine (23, 51.1% vs. 37, 82.2%, P = 0.003), and transport (26, 57.8% vs. 40, 88.9%, P = 0.002). CONCLUSION: The Thomas tube holder is more effective than adhesive tape in preventing ETT displacement in a mannequin subjected to log roll, chest compressions, and transportation.
Terrain Classification from an Aerial Perspective

Terrain knowledge around unmanned ground vehicles (UGVs) is vital for autonomous navigation. Having global understanding of the surroundings of UGVs is important, although the field of view from UGVs is very limited. Thus, we utilize an aerial vehicle to provide a large terrain map from sequential aerial images. In this paper, we present multiple techniques to accelerate the process of terrain classification so that it can run onboard on the aerial platform. The main techniques used to accelerate the process is a "knowledge distillation" of a deep neural net to a shallower one, and a super pixel implementation. We evaluated our system on Jetson TX1 with actual images collected from a weather balloon which confirmed the effectiveness of the proposed system.
Retinotectal circuitry of larval zebrafish is adapted to detection and pursuit of prey

Retinal axon projections form a map of the visual environment in the tectum. A zebrafish larva typically detects a prey object in its peripheral visual field. As it turns and swims towards the prey, the stimulus enters the central, binocular area, and seemingly expands in size. By volumetric calcium imaging, we show that posterior tectal neurons, which serve to detect prey at a distance, tend to respond to small objects and intrinsically compute their direction of movement. Neurons in anterior tectum, where the prey image is represented shortly before the capture strike, are tuned to larger object sizes and are frequently not direction-selective, indicating that mainly interocular comparisons serve to compute an object’s movement at close range. The tectal feature map originates from a linear combination of diverse, functionally specialized, lamina-specific, and topographically ordered retinal ganglion cell synaptic inputs. We conclude that local cell-type composition and connectivity across the tectum are adapted to the processing of location-dependent, behaviorally relevant object features.
Genetic variability and molecular evolution of maize yellow mosaic virus populations from different geographic origins.

Maize yellow mosaic virus (MaYMV) hosted in various gramineous plants was assigned to the genus Polerovirus (family Luteoviridae) in 2018. However, little is known about its genetic diversity and population structure. In this study, 509 sugarcane leaf samples with mosaic symptoms were collected in 2017-2019 from eight sugarcane-growing provinces in China. RT-PCR results revealed that four positive-sense RNA viruses were found to infect sugarcane, and the incidence of MaYMV among samples from Fujian, Sichuan, and Guangxi provinces was 52.1%, 9.8%, and 2.5%, respectively. Based on 82 partial MaYMV sequences and 46 whole-genome sequences from different host plants, phylogenetic analysis revealed that MaYMV populations are very closely associated with their source geographical regions (China, Africa, and South America). Pairwise identity analysis showed significant variability in genome sequences among MaYMV isolates with genomic nucleotide identities of 91.1-99.9%. In addition to codon mutations, insertions/deletions also contributed to genetic variability in individual coding regions, especially in the readthrough protein (P3-P5 fusion protein). Low gene flow and significant genetic differentiation of MaYMV were observed among the three geographical populations, suggesting that environmental adaptation is an important evolutionary force that shapes the genetic structure of MaYMV. Genes in the MaYMV genome were subject to strong negative or purification selection during evolution, except for the movement protein (MP), which was under positive selection pressure. This finding suggests that the MP may play an important role in MaYMV evolution. Taken together, our findings provide basic information for the development of an integrated disease management strategy against MaYMV.
Interleukin‐5 deletion promotes sepsis‐induced M1 macrophage differentiation, deteriorates cardiac dysfunction, and exacerbates cardiac injury via the NF‐κB p65 pathway in mice

Inflammation plays a crucial role in sepsis‐induced cardiac injury. The purpose of this study was to determine whether interleukin‐5 (IL‐5) affected lipopolysaccharide (LPS)‐induced cardiac injury by regulating the inflammatory response. First, the expression level and source of cardiac IL‐5 were examined, and the results showed that LPS treatment and cecal ligation decreased cardiac IL‐5 expression in macrophages. In addition, LPS was used to establish a mouse sepsis model, and the effects of IL‐5 deletion on cardiac injury, M1 macrophage differentiation and myocardial cell apoptosis were analyzed. The results showed that IL‐5 deficiency significantly increased cardiac injury marker expression, worsened cardiac dysfunction, promoted M1 macrophage differentiation and exacerbated myocardial cell apoptosis in LPS‐induced septic mice. The nuclear factor‐kappa B (NF‐κB) p65 pathway was inhibited by JSH‐23, and the results showed that treatment with JSH‐23 inhibited M1 macrophage differentiation and alleviated cardiac injury in LPS‐treated IL‐5‐knockout mice. Furthermore, the effects of IL‐5 deficiency on M1 macrophage differentiation and myocardial cell apoptosis were measured in vitro. The IL‐5‐mediated promotion of M1 macrophage differentiation was also reversed by S31‐201, and the pro‐apoptotic effect of IL‐5 knockout on macrophage‐mediated myocardial cell apoptosis was also reversed by JSH‐23. In conclusion, we found that IL‐5 knockout may exacerbate sepsis‐induced cardiac injury by promoting M1 macrophage differentiation in mice. IL‐5 may be a potential target for the clinical prevention of sepsis‐related cardiac injury.