Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy of horizontal muscle augmentation combined inferior oblique muscle shortening for pediatric strabismus

Abstract Background: This study will explore the efficacy and safety of horizontal muscle augmentation (HMA) combined inferior oblique muscle shortening (IOMS) for the treatment of pediatric strabismus (PS). Methods: Literature search for studies will be carried out in the following databases: Cochrane Library, MEDILINE, EMBASE, CINAHL, Web of Science, PsycINFO, CBM, and CNKI. We will search all these databases without language and publication status restrictions. Two independent authors will perform selection of studies, data collection and management, risk of bias evaluation. A third author will be consulted with the help of discrepancies. Results: This study will provide a synthesis of existed evidence for HMA combined IOMS for the treatment of PS. Conclusion: The results of this study will provide evidence to evaluate the efficacy and safety of HMA combined IOMS for the treatment of PS, which can help to guide clinical decision-making. Systematic review registration: PROSPERO CRD42019149716.
A Geohash Based Place2vec Model

Learning the vector representing of Point Of Interest(POI) is a key aspect of POI recommender systems. As for shop POI embedding, in addition to the goods selling in shops, the location of shops is also an important factor that must be considered. Word2vec is a commonly used POI embedding model but it cannot be trained directly using location data. In this paper, we present a geohash based Place2vec model, geohash is a geocoding system that can encoding the location of shops in a string form, which can be treated as a spatial context of the Word2Vec model. We investigate the extent to which similar shops occur within the same products contexts and similar spatial contexts, and enrich a dataset of location, type and product lists of shops from YIWUGOU Online Shop Data1. The evaluation results shows that the shop vector trained by combined contexts outperform the vector trained by the products contexts.
Endoscopic Necrosectomy of Walled-Off Necrosis following Severe Pancreatitis Using a Hot AxiosTM Stent – A Case Series

Background: Walled-off necrosis is a common complication of severe pancreatitis. Guidelines recommend endoscopic transgastric necrosectomy as therapy of choice. Different endoscopic approaches are possible. Methods: We retrospectively analyzed our series of 9 patients where necrosectomy was performed after application of a lumen-apposing metal stent (LAMS) delivered using a Hot AxiosTM Stent device. Results: In all 9 cases, the walled-off necrosis resolved completely. Necrosectomy was performed through the LAMS (mean: 5.7 times). Endoscopic necrosectomy was repeated every 3rd–7th day using 10- or 15-mm snares. There were no major complications. Especially, no early or delayed bleeding was seen. Conclusion: The Hot AxiosTM Stent device is a safe method for necrosectomy of walled-off necrosis. It enables puncture, drainage, and LAMS insertion in a single delivery, followed by several courses of necrosectomy if needed without stent exchange.
GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database

Abstract Summary The Genome Taxonomy Database Toolkit (GTDB-Tk) provides objective taxonomic assignments for bacterial and archaeal genomes based on the GTDB. GTDB-Tk is computationally efficient and able to classify thousands of draft genomes in parallel. Here we demonstrate the accuracy of the GTDB-Tk taxonomic assignments by evaluating its performance on a phylogenetically diverse set of 10 156 bacterial and archaeal metagenome-assembled genomes. Availability and implementation GTDB-Tk is implemented in Python and licenced under the GNU General Public Licence v3.0. Source code and documentation are available at: https://github.com/ecogenomics/gtdbtk. Supplementary information Supplementary data are available at Bioinformatics online.
CRISPR‐Cas12a enables efficient biallelic gene targeting in rice

Harnessing genetic diversity and introducing elite alleles into commercial cultivars has been a major goal in crop breeding programs. Gene targeting (GT), based on the homology-directed repair (HDR) pathway, is hence a holy grail in crop breeding. Although HDR has been documented by using sequence-specific nucleases such as zinc finger nucleases (ZFNs) (Qi et al., 2013), transcription activator-like effector nucleases (TALENs) (Zhang et al., 2013) and CRISPR-Cas9 (Schiml et al., 2014; Sun et al., 2016), HDR events are often very rare in plants.
Optimal Placement and Sizing of Distributed Generation using Flower Pollination Algorithm for Power Loss Reduction Maximization in Distribution Networks

In this article, power loss index (PLI) and flower pollination algorithm (FPA) are proposed for allocation and sizing of renewable energy resources based distributed generation (DG) in distribution network by considering power loss reduction maximization as an objective function. Here the most suitable locations for the placement of DG units are identified using PLI factor and then the FPA is applied to calculate the optimal power capacities of DG units. The effectiveness of introduced methodology is evaluated by testing with the standard IEEE 33 and 69 bus distribution networks (DN). The results produced with the FPA method are compared with the existing methods in the literature and show that the introduced method is capable of minimizing more power losses than the compared methods.
Scenario of Flash Flood Caused by Hypothetical Failure of Mosul Dam in Iraq Using HEC-GeoRAS Model and GIS

Constructed on the Tigris River, Mosul dam is the most important hydraulic structure in Iraq, as well is the most dangerous dam in the world. Its geological foundation is unstable due to alternate and variable soluble strata formed from materials such as gypsum, anhydrite, marl and limestone. Consequently, it could collapse at any time and the lives of at least 1.5 million people could be at risk. The present paper investigate the flash-flood scenario due to a hypothetical disaster failure of Mosul dam using the Hydrologic Engineering Center’s River Analysis System (HEC-RAS) in concert with HEC-GeoRAS and ArcGIS. The Landsat-OLI image and SRTM-V4.1 DEM data were exploited to digitize the river line, banks, path, and elevation. The cross sections over the river was created based on HEC-GeoRAS model to simulate the spreading of the dam-break flood after the flood-wave exits the narrow valley towards the city of Mosul and its neighbourhood. The 3D and spatial analysts in ArcGIS were applied to create water surface and the depth raster layer for the flash flood scenario. The results revealed that the flow depths can reach a 110 m by reference to bed of the river (or 32 m compared to the topographic surface), covering the Mosul city and extent situated at 75 km downstream of the Dam and sweeping an area about 30 km wide within few hours. The visual impact of this theoretical flood propagation was represented in 3D for land planning and a strategic plan preparation to protect and reduce the potential impact on human life, infrastructure, and environment in Mosul dam watersheds and adjacent regions.
Cropland Mapping in Fragmented Agricultural Landscape Using Modified Pyramid Scene Parsing Network

It is significant to extract cropland mapping accurately and rapidly in many fields. In southern China, restrictions on complex planting structure and fragmented patches, long rainy season all pose challenges to remote sensing. Deep Learning has advantages in such complex classification problem. The combination of medium and high resolution data is an effective way to solve the problem of data acquisition and scale refinement in fragmented agricultural landscape area. In this paper, a modified Pyramid Scene Parsing Network which could integrate the medium-resolution data and the high-resolution data (HM_PSP) was proposed focusing on different scales features. The experimental results showed the applicability of the HM_PSP, which also had better visual results, the 3.42 % and 1.58% improvement of OA for the test sets. By comparing the results of HM_PSP and M_PSP (only trained by the medium resolution data), the enhanced effect after adding high-resolution data, as well as the generalization ability of spatial and temporal generalization ability of the model had been verified.
Draft Genome Sequence of Cronobacter sakazakii Cr268, Isolated from Infant Powder Formula

Cronobacter sakazakii is an emerging pathogen that causes meningitis, bacteremia, sepsis, and necrotizing enterocolitis in premature infants. Strain Cr268 was isolated from imported powdered infant formula in 2009 during routine microbial examination according to ISO-22964 (“Microbiology of the food chain—horizontal method for the detection of Cronobacter spp.”). ABSTRACT Cronobacter sakazakii is an emerging pathogen that causes meningitis, bacteremia, sepsis, and necrotizing enterocolitis in premature infants. Strain Cr268 was isolated from imported powdered infant formula in 2009 during routine microbial examination according to ISO-22964 (“Microbiology of the food chain—horizontal method for the detection of Cronobacter spp.”). Isolate Cr268 was confirmed to be C. sakazakii by matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) and standard biochemical analysis. Here, we announce its genome, which represents a new member in the C. sakazakii group.
Random Walkers Coverage Experimentation and Evaluation in Low-Cost Wireless Home Networks

The mechanism of random walkers is studied in this paper as a means of disseminating information in resource-constrained networks, such as those encountered in the Internet of Things, a field that is currently emerging in various areas like home networking etc., triggering the creation of new requirements. This leads to an increasing need for effective and drastic solutions. Multiple and replicated random walker mechanisms, which serve as alternative approaches with the ultimate goal of accelerating the coverage of the network, are considered as well. The performance of these mechanisms is experimentally evaluated and compared to past theoretical findings, in a lowcost wireless network deployed on the buildings of a University campus. The obtained experimental results are consistent with previous analytic results, whereas they further indicate the overall time-efficiency in practical applications, showcasing their viability in smart environments.
Transportation of Deformable Payload through Static and Dynamic Obstacles using Loosely Coupled Nonholonomic Robots

This paper presents our solution for transportation of deformable payloads using a formation of non-holonomic mobile robots while avoiding static and dynamic obstacles. We assume the center of the formation to be a virtual robot which also plays the role of the leader of the formation. Rapidly-exploring Random Tree star (RRT*) algorithm is used to determine a static obstacle free trajectory for the virtual leader. In addition to that, a custom path planning algorithm is incorporated for the follower robots. A decentralized leader-follower formation control is applied for the robots to traverse their respective trajectories without breaking the formation while following the constraints of the deformable payload. The virtual leader moves forward or backward on the initially generated path with variable velocity depending on the proximity of dynamic obstacles. All the other robots follow it so that the formation is able to avoid the dynamic obstacles while still remaining on the path leading towards the destination.
A Preliminary Study of Microwave Metamaterial Absorber Base on Cross-shaped for Stealth Technology

Absorber material is a good alternative for stealth application. It has a feature to prevent microwave reflections. A microwave metamaterial absorber base on cross-shaped is proposed on this work. The target of this work is to find optimal parameter cross-shaped unit cell design for high absorbance performance at microwave spectrum. The cross-shaped design was chosen due to its simple design and generating insensitive polarization. The peak of absorbance performance for 15 mm of width, 20 mm of width, 25 mm of width and 30 mm of width are 0.96 at 4.3 GHz, 0.86 at 3.9 GHz, 0.74 at 3.8 GHz, and 0.7 at 3.7 GHz, respectively. The highest peak of absorbance performance is cross-shaped with 15 mm of width. The microwave metamaterial absorber base on cross-shaped yields insensitive polarization performance. There is a perfect matching of absorbance performance with a difference of polarization angle. The microwave metamaterial absorber base on cross-shaped presents high absorbance performance for several incident angles case. At 4-4.7 GHz region, there is existed high absorbance performance for 20° - 80° incident angles (θ). Three absorbance peaks are existed for θ =20° at 4-4.7 GHz region. The θ= 40°, θ= 60°, and θ= 80° yield another absorbance peak at 3.4 – 3.8 GHz region. In this region, the high absorbance was yield only for θ= 80° case. Overall, the microwave metamaterial absorber base on cross-shaped is a good alternative for stealth application due to relative high absorbance performance and insensitive polarization.
Uniform Band Interval Divided Band Selection

This paper presents a new band selection approach, called uniform band interval divided band selection (UBIDBS) which uniformly divides a band range into a finite number of band intervals from which a band can be selected from each band interval according to a custom designed band prioritization (BP) criterion. Two BP criteria are introduced. One is derived from orthogonal subspace projection (OSP). The other is based on correlation matrix R originated from constrained energy minimization (CEM). These two criteria allow users to identify a most significant band to be selected in each of band intervals. As a result, it avoids band decorrelation required by BP to remove adjacent high- correlated bands.
Fabrication of Flexible Thin Film Strain Sensors using Kapton Tape as Stencil Mask

Demand for a flexible and foot plantar pressure sensor to monitor abnormalities in locomotor activities in our day to day life is highly important particularly for patients with osteoarthritis. These should have better sensitivity and spatial resolution than the conventional pressure mats and force resistive sensors. Present paper discusses the development of a miniaturized thin film strain sensor over a flexible PDMS elastomeric surface which can be a generic one to measure the strain under the foot and can be used to map and study the foot pressure distribution by both the legs for analysis of various limb problems, pain or foot ulceration using an array of similar flexible metal strain gauges. In the present work, aluminium strain sensor has been fabricated through thin film deposition technique using Kapton tape as a low-cost stencil mask with a resistance value of ~ 12.65 Ω. The corresponding strain analysis has also been modeled using COMSOL Multiphysics® 5.3a. Initial simulation result shows a resistance value of 42 Ω for a similar configuration which shows good correlation between the two under unstrained condition and increases with increasing pressure. Based on foot pressure mapping from an array of such strain sensors, osteoarthritis and other locomotive abnormalities can be diagnosed at an earlier stage in the long run.
Multifunctional Adaptive RZA-NLMF Control Technique for Double Stage SEGS Interfaced With Three-Phase Distribution Feeder

This work present an intelligent adaptive technique is used for control a two stage solar power generating system (SEGS) feeding to a three phase distribution network. This system utilizes PV (Photovoltaic) modules, VSI (voltage Source Converter), linear and nonlinear loads. A RZA-NLMF (Reweighted Zero Attracting-Normalized Least Mean Fourth) adaptive approach is utilized to extricate the fundamental component of polluted load currents and for multiple purpose, such as improvement of quality of power at PCI (Point of Common Interconnection). For extracting, the extent amount of available power from the given SEGS at different climatically conditions, this system uses a simple P&O (Perturb and Observe) method. It also offers its capability of harmonics reduction and ensures the power quality norms. The proposed grid integrated SEGS is modeled in the MATLAB/Simulink. For check the performance of proposed approach at varying nonlinear loads on different environment conditions, the proposed control technique is examined through various recorded results on a hardware setup in the laboratory.
Multigenerational performance development of male and female top‐elite swimmers–A global study of the 100 m freestyle event

The present study investigated longitudinally the performance development of a multigenerational sample of competitive swimmers. The aim of the study was to provide unique insight into the junior toward senior performance development of those few who reached top‐elite level. Season Best Times (SBT) of 100 m freestyle performance of international swimmers, (1.305 males, aged 12‐26 and 1.841 females, aged 12‐24) competing in at least five seasons between 1993 and 2018, were corrected for the prevailing world record (WR). Swim performance was defined as a relative measure: relative Season Best Time=(SBT/WR) × 100. Based on rSBT, four performance groups were defined: top‐elite, elite, sub‐elite, and high‐competitive.
Global Stabilization of Fuzzy Memristor-Based Reaction–Diffusion Neural Networks

This article investigates the global stabilization problem of Takagi–Sugeno fuzzy memristor-based neural networks with reaction–diffusion terms and distributed time-varying delays. By using the Green formula and proposing fuzzy feedback controllers, several algebraic criteria dependent on the diffusion coefficients are established to guarantee the global exponential stability of the addressed networks. Moreover, a simpler stability criterion is obtained by designing an adaptive fuzzy controller. The results derived in this article are generalized and include some existing ones as special cases. Finally, the validity of the theoretical results is verified by two examples.
Development of a novel automatable fabrication method based on electrospinning co electrospraying for rotator cuff augmentation patches

Rotator cuff tear is one of the most common shoulder diseases. Rotator cuff augmentation (RCA) is trying to solve the high retear failure percentage after the surgery procedures (20–90%). The ideal augmentation patch must provide a temporal mechanical support during the healing process. In this work, we proposed a simple method for the fabrication of synthetic RCA patches. This method combines the use of electrospraying to produce poly-L-lactic-co-ε-caprolactone (PLC) films in an organogel form and electrospinning to produce poly(lactic) acid (PLA) nanofibers. The device consists in a combination of layers, creating a multilayered construct, enabling the possibility of tuning its mechanical properties and thickness. Besides, both techniques are simple to escalate for industrial production. A complete characterization has been performed to optimize the involved number of layers and production time of PLC films and PLA nanofibers fabrication, obtaining a final optimal configuration for RCA devices. Structural, mechanical and suture properties were evaluated. Also, the possibility of surface functionalization to improve the bioactivity of the scaffold was studied, adding aligned electrospun PLA nanofibers on the surface of the device to mimic the natural tendon topography. Surface modification was characterized by culturing adult normal human dermal fibroblasts. Lack of toxicity was detected for material presented, and cell alignment shape orientation guided by aligned fibers, mimicking tendon structure, was obtained. Cell proliferation and protein production were also evaluated.
Looking at the Figures: Visual Adaptation as a Mechanism for Body-Size and -Shape Misperception

Many individuals experience body-size and -shape misperception (BSSM). Body-size overestimation is associated with body dissatisfaction, anxiety, depression, and the development of eating disorders in individuals who desire to be thinner. Similar symptoms have been noted for those who underestimate their muscularity. Conversely, individuals with high body mass indices (BMI) who underestimate their adiposity may not recognize the risks of or seek help for obesity-related medical issues. Although social scientists have examined whether media representations of idealized bodies contribute to the overestimation of fat or underestimation of muscle, other scientists suggest that increases in the prevalence of obesity could explain body-fat underestimation as a form of renormalization. However, these disparate approaches have not advanced our understanding of the perceptual underpinnings of BSSM. Recently, a new unifying account of BSSM has emerged that is based on the long-established phenomenon of visual adaptation, employing psychophysical measurements of perceived size and shape following exposure to “extreme” body stimuli. By inducing BSSM in the laboratory as an aftereffect, this technique is rapidly advancing our understanding of the underlying mental representation of human bodies. This nascent approach provides insight into real-world BSSM and may inform the development of therapeutic and public-health interventions designed to address such perceptual errors.
Design of the Wide Dual-Band Rectangular Souvenir Dielectric Resonator Antenna

Design of the wide dual-band rectangular souvenir dielectric resonator antenna (DRA) is discussed. The proposed wide dual-band rectangular DRA was excited by using a U-slot. The <inline-formula> <tex-math notation="LaTeX">$TE_{111}{^{\mathrm {y}}}$ </tex-math></inline-formula> mode of the rectangular DRA and the slot resonator were employed to design the lower band, while the higher-order <inline-formula> <tex-math notation="LaTeX">$TE_{113}{^{\mathrm {y}}}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$TE_{311}{^{\mathrm {y}}}$ </tex-math></inline-formula> modes were utilized to design the upper band. By merging two pairs of modes in each band, the impedance bandwidth of the lower and upper bands were enhanced simultaneously. New design formulas that determine the dimensions of the wide dual-band rectangular DRA were obtained. Design guideline was also given to facilitate the design. To demonstrate the usefulness of the formulas, a wide dual-band rectangular DRA fabricated using K-9 glass was designed for 2.4/5.2-GHz WLAN applications. To upgrade the antenna as the souvenir-DRA, the word “LOVE” was carved on the sidewall of the glass DRA by using the sandblasting machine, and it was found that the content and position of the word has little effect on the antenna performance. The impedance bandwidths of the proposed wide dual-band DRA can be achieved as ~25% for the lower band and ~13% for the upper band.
Mapping Surface Displacements and Aquifer Characteristics Around the Kumamoto Plain, Japan, Using Persistent Scatterer Interferometry

In this study, we used persisitent scatterer interferometry to monitor surface displacements related to groundwater level changes around the Kumamoto plain. Groundwater has been used for daily purposes in the area, and the 2016 Kumamoto earthquake with a maximum magnitude of Mw 7.0 occurred at the area. The use of ALOS/PALSAR data showed seasonal displacements that correspond to seasonal groundwater flow from January 2007 to January 2011. On the other hand, the analysis of ALOS-2/PALSAR-2 data revealed local surface displacements after the 2016 Kumamoto earthquake, which were validated by Sentinel-1A and GNSS data. Especially, we found that the local ground uplifts that correspond to groundwater level increase after the earthquake. From changes in skeletal storage coefficient, we interpreted that aquifer properties such as porosity and aquifer matrix compressibility altered by the earthquake. Our results demonstrate the effectiveness of aquifer monitoring using persistent scatterer interferometry.