Miracle-dz/UniFAR-FTUs huggingface dataset:
Mid-Miocene to Present Upper-Plate Deformation of the Southern Cascadia Forearc: Effects of the Superposition of Subduction and Transform Tectonics

The southern Cascadia forearc undergoes a three-stage tectonic evolution, each stage involving different combinations of tectonic drivers, that produce differences in the upper-plate deformation style. These drivers include subduction, the northward migration of the Mendocino triple junction and associated thickening and thinning related to the Mendocino Crustal Conveyor (MCC) effect, and the NNW translation of the Sierra Nevada-Great Valley (SNGV) block. We combine geodetic data, plate reconstructions, seismic tomography and topographic observations to determine how the southern Cascadia upper plate is deforming in response to the combined effects of subduction and NNW-directed (MCC- and SNGV-related) tectonic processes. The location of the terrane boundaries between the relatively weak Franciscan complex and the stronger Klamath Mountain province (KMP) and SNGV block has been a key control on the style of upper-plate deformation in the southern Cascadia forearc since the mid-Miocene. At ∼15 Ma, present-day southern Cascadia was in central Cascadia and deformation there was principally controlled by subduction processes. Since ∼5 Ma, this region of the Cascadia upper plate, where the KMP lies inboard of the Franciscan complex, has been deforming in response to both subduction and MCC- and SNGV-related effects. GPS data show that the KMP is currently moving to the NNW at ∼8–12 mm/yr with little internal deformation, largely in response to the northward push of the SNGV block at its southern boundary. In contrast, the Franciscan complex is accommodating high NNW-directed and NE-directed shortening strain produced by MCC-related shortening and subduction coupling respectively. This composite tectonic regime can explain the style of faulting within and west of the KMP. Associated with this Mendocino Crustal Conveyor crustal thickening, seismic tomography imagery shows a region of low velocity material that we interpret to represent crustal flow and injection of Franciscan crust into the KMP at intracrustal levels. We suggest that this MCC-related crustal flow and injection of material into the KMP is a relatively young feature (post ∼5 Ma) and is driving a rejuvenated period of rock uplift within the KMP. This scenario provides a potential explanation for steep channels and high relief, suggestive of rapid erosion rates within the interior of the KMP.
Traveling Wave Solutions and Chaotic Motions for a Perturbed Nonlinear Schrödinger Equation with Power-Law Nonlinearity and Higher-Order Dispersions

This chapter aims to study and solve the perturbed nonlinear Schrödinger (NLS) equation with the power-law nonlinearity in a nano-optical fiber, based upon different methods such as the auxiliary equation method, the Stuart and DiPrima’s stability analysis method, and the bifurcation theory. The existence of the traveling wave solutions is discussed, and their stability properties are investigated through the modulational stability gain spectra. Moreover, the development of the chaotic motions for the systems is pointed out via the bifurcation theory. Taking into account an external periodic perturbation, we have analyzed the chaotic behavior of traveling waves through quasiperiodic route to chaos.
Distributed Data Mining for User Sensemaking in Online Collaborative Spaces

With the increasing growth of data and knowledge intensive online collaborative spaces, such as blogs, wikis, and discussion forums, making sense of what content exists or which posts are the relevant ones for a user to participate in is becoming more difficult, tedious and time consuming. In order to help users make sense of such large-scale information sources, it will be necessary to utilize intelligent technologies and exploit what we know about how people summarize the content, relate the topics, and identify the high-level categories from the huge and diverse information. In this paper, we address this challenge by proposing a novel distributed data mining approach to support user sensemaking. The approach combines the powerful distributed processing of Hadoop Map/Reduce for speed with the scalable data mining of Mahout for dealing with huge volume of data. The output can then be presented to a user in a user-friendly format, such as topic clouds. A pilot case study of an online technical discussion forum was conducted to test the approach. Author
An Attribute-Based Evaluation Framework for Sustainable Scientific Instruments Platforms

Scientific instrument platforms (SIPs) suffer from a lack of opinion and suggestions on sustainable operation management, leading to widely poor operation status nowadays. It is possible to guarantee the quality and efficiency of scientific and technological innovation activities and to improve the economic and social benefits of scientific and technological resources by constructing a framework system to promote the sustainability of the operation and management for SIPs. To meet the examination and evaluation requirements of the current operation and management of SIPs in China, this paper aims to establish an evaluation framework composed of indicators and attributes running through the construction and development of the SIPs from four aspects of learning and growth, process management, customers, and finance. Based on the existing research and operation practice, and according to the knowledge and preference of 627 SIP stakeholders, factor analysis has been adopted to extract and validate the hierarchical structure containing key sustainability indicators. The results show that the attribute characteristics of sustainable operating management for SIPs involve four significant dimensions of target positioning, team building, internal process control, and external service, among which the first and third ones have relatively higher priority. An effective and reliable evaluation tool is identified to be designed and provided for SIP operating management, which can also be used for self-evaluation and unified management of the sustainable operation of SIPs.
Association of Thyroid-Stimulating Hormone (TSH) Levels With the Prognosis of Patients Undergoing Heart Transplantation: A Retrospective Study

Purpose: To investigate the impact of TSH levels using a more stringent cutoff of subclinical hypothyroidism (i.e., TSH > 2.5 mIU/L) on the short-term complications and long-term prognosis in patients who underwent heart transplantation (HTx). Methods: This is a retrospective study of consecutive patients with end-stage heart failure (HF) who underwent HTx. They were divided into three groups: thyroid-stimulating hormone (TSH) ≤ 2.50 mIU/L (L-TSH), 2.50 < TSH ≤ 4.91 mIU/L (M-TSH), and TSH > 4.91 mIU/L (H-TSH). The outcomes are all-cause death and cardiogenic death. Results: There are 63 (70%) males and 27 (30%) females. Nine (10%) patients died within 1 month after surgery, including five cardiogenic deaths. By 1 year, a total of 19 patients total were dead. The survival rate in the M-TSH group was significantly higher than that of the L-TSH group (P = 0.017). After adjusted by variables of sex, age, BMI, diabetes history, hypertension history, the multivariable Cox analysis showed that body mass index (HR = 0.804, 95%CI: 0.680–0.951, P = 0.011), and L-TSH (HR = 8.757, 95%CI: 1.786–42.948, P = 0.007 vs. M-TSH), and H-TSH (HR = 6.427, 95%CI: 1.137–36.327, P = 0.035 vs. M-TSH) were independently associated with all-cause death. The multivariable Cox analysis showed that body mass index (HR = 0.703, 95%CI: 0.564–0.878, P = 0.002), and L-TSH (HR = 17.717, 95%CI: 1.907–164.607, P = 0.011 vs. M-TSH) were independently associated with cardiogenic death. Conclusion: For patients with end-stage HF undergoing HTx, low and high baseline TSH levels are independently associated with 1-year all-cause death and low baseline TSH levels with cardiogenic death.
Microwave reflectometric systems and monitoring apparatus for
 diffused-sensing applications

Most sensing networks rely on punctual/local sensors; they thus lack the ability to spatially resolve the quantity to be monitored (e.g. a temperature or humidity profile) without relying on the deployment of numerous inline sensors. Currently, most quasi-distributed or distributed sensing technologies rely on the use of optical fibre systems. However, these are generally expensive, which limits their large-scale adoption. Recently, elongated sensing elements have been successfully used with time-domain reflectometry (TDR) to implement diffused monitoring solutions. The advantage of TDR is that it is a relatively low-cost technology, with adequate measurement accuracy and the potential to be customised to suit the specific needs of different application contexts in the 4.0 era. Based on these considerations, this paper addresses the design, implementation and experimental validation of a novel generation of elongated sensing element networks, which can be permanently installed in the systems that need to be monitored and used for obtaining the diffused profile of the quantity to be monitored. Three applications are considered as case studies: monitoring the irrigation process in agriculture, leak detection in underground pipes and the monitoring of building structures.
Mesenchymal Stem Cell-Derived Extracellular Vesicles for Osteoarthritis Treatment: Extracellular Matrix Protection, Chondrocyte and Osteocyte Physiology, Pain and Inflammation Management

Osteoarthritis (OA) is a common degenerative disease that can lead to persistent pain and motion restriction. In the last decade, stem cells, particularly mesenchymal stem cells (MSCs), have been explored as a potential alternative OA therapy due to their regenerative capacity. Furthermore, it has been shown that trophic factors enveloped in extracellular vesicles (EVs), including exosomes, are a crucial aspect of MSC-based treatment for OA. Evidently, EVs derived from different MSC sources might rescue the OA phenotype by targeting many biological processes associated with cartilage extracellular matrix (ECM) degradation and exerting protective effects on different joint cell types. Despite this advancement, different studies employing EV treatment for OA have revealed reverse outcomes depending on the EV cargo, cell source, and pathological condition. Hence, in this review, we aim to summarize and discuss the possible effects of MSC-derived EVs based on recent findings at different stages of OA development, including effects on cartilage ECM, chondrocyte biology, osteocytes and bone homeostasis, inflammation, and pain management. Additionally, we discuss further strategies and technical advances for manipulating EVs to specifically target OA to bring the therapy closer to clinical use.
Novel Cyclovirus Species in Dogs with Hemorrhagic Gastroenteritis

Nested PCRs with circovirus/cyclovirus pan-rep (replicase gene) primers detected eukaryotic circular Rep-encoding single-stranded DNA (CRESS DNA) viruses in three (samples CN9E, CN16E and CN34) of 18 canine parvovirus-2-positive fecal samples from household dogs with hemorrhagic gastroenteritis on the Caribbean island of Nevis. The complete genomes of CRESS DNA virus CN9E, CN16E and CN34 were determined by inverse nested PCRs. Based on (i) genome organization, (ii) location of the putative origin of replication, (iii) pairwise genome-wide sequence identities, (iv) the presence of conserved motifs in the putative replication-associated protein (Rep) and the arginine-rich region in the amino terminus of the putative capsid protein (Cp) and (v) a phylogenetic analysis, CN9E, CN16E and CN34 were classified as cycloviruses. Canine-associated cycloviruses CN16E and CN34 were closely related to each other and shared low genome-wide nucleotide (59.642–59.704%), deduced Rep (35.018–35.379%) and Cp (26.601%) amino acid sequence identities with CN9E. All the three canine-associated cycloviruses shared < 80% genome-wide pairwise nucleotide sequence identities with cycloviruses from other animals/environmental samples, constituting two novel species (CN9E and CN16E/34) within the genus Cyclovirus. Considering the feeding habits of dogs, we could not determine whether the cycloviruses were of dietary origin or infected the host. Interestingly, the CN9E putative Rep-encoding open reading frame was found to use the invertebrate mitochondrial genetic code with an alternative initiation codon (ATA) for translation, corroborating the hypothesis that cycloviruses are actually arthropod-infecting viruses. To our knowledge, this is the first report on the detection and complete genome analysis of cycloviruses from domestic dogs.
Development of Georeferenced 3D Point Cloud in GPS Denied Environments Using Backpack Laser Scanning System

This paper presents a method to generate a Georeferenced 3D point cloud of GPS denied built structures using custom made backpack laser scanning system. An orthogonal combination of 2D Hokuyo laser scanners has been used on the backpack system to generate a 3D point cloud of the surveyed environments. The data logging of scanners and simultaneous localization and mapping (SLAM) of the scanning system have been carried out using Robot Operating System (ROS). The developed local SLAM based 3D point cloud solution has been transformed into global Georeferenced 3D point cloud using observed geographic coordinates of nearby GPS visible vicinities. Multiple indoor environments have been scanned and 3D point clouds have been developed which have been found accurate when compared to the ground truth. In comparison to available surveying solutions present in the local market, the developed system has been found more accurate, faster, and user friendly to generate structural results of the surveyed vicinities in detail. The efficacy of the system has been witnessed by local surveying companies by delivering the unique global coordinated solutions on affordable rates.
Role of Galectins in the Liver Diseases: A Systematic Review and Meta-Analysis

Background: Galectins, a family of β-galactoside-binding proteins, are related to the development and progression of various human diseases such as cancer, heart failure, and chronic kidney disease. However, its role in liver diseases is unclear. Methods: The PubMed, Embase, and Cochrane Library databases were searched. Hazard ratios (HRs), odds ratios (ORs), and mean differences (MDs) with 95% CIs were pooled to evaluate the association of the galectins with the outcomes and risk of liver diseases by a random effects model. Results: Thirty three studies involving 43 cohorts and 4,168 patients with liver diseases were included. In the patients with hepatocellular carcinoma (HCC), high expression of galectin-1 and -3 in the tissues was significantly associated with worse overall survival (galectin-1: HR = 1.94, 95% CI = 1.61–2.34, p < 0.001; galectin-3: HR = 3.29, 95% CI = 1.62–6.68, p < 0.001) and positive vascular invasion (galectin-1: OR = 1.74, 95% CI = 1.18–2.58, p = 0.005; galectin-3: OR = 2.98, 95% CI = 1.58–5.60, p = 0.001); but, high expression of galectin-4 and −9 in the tissues was significantly associated with better overall survival (galectin-4: HR = 0.53, 95% CI = 0.36–0.79, p = 0.002; galectin-9: HR = 0.56, 95% CI = 0.44–0.71, p < 0.001) and negative vascular invasion (galectin-4: OR = 0.36, 95% CI = 0.19–0.72, p = 0.003; galectin-9: OR = 0.60, 95% CI = 0.37–0.97, p = 0.037). Serum galectin-3 level was significantly higher in HCC (MD = 3.06, 95% CI = 1.79–4.32, p < 0.001), liver failure (MD = 0.44, 95% CI = 0.23–0.66, p < 0.001), liver cirrhosis (MD = 1.83, 95% CI = 1.15–2.51, p < 0.001), and chronic active hepatitis B (MD = 18.95, 95% CI = 10.91–27.00, p < 0.001); serum galectin-9 level was significantly higher in HCC (MD = 3.74, 95% CI = 2.57–4.91, p < 0.001) and autoimmune hepatitis (MD = 8.80, 95% CI = 7.61–9.99, p < 0.001). Conclusion: High galectin-1 and -3 and low galectin-4 and -9 expression indicate worse outcomes of patients with HCC. Serum galectin-3 and -9 levels are positively associated with the risk of chronic liver diseases.
Modulation of Insulin Gene Expression with CRISPR/Cas9-based Transcription Factors

Background: The discovery and use of CRISPR/Cas9 technology have enabled researchers throughout the globe to continuously edit genomes for the benefit of science and medicine. Diabetes type I is one field of medicine where CRISPR/Cas9 has a strong potential for cell therapy development. The long-lasting paucity of healthy cells for clinical transplantation into diabetic patients has led to the search of new methods for producing β-cells from other human cell types. Embryonic stem cells are being studied worldwide as one most promising solution of this need. Aim: The aim of the study is to to check the feasibility of modulating human insulin transcription using CRISPR/Cas9-based synthetic transcription regulation factors. Results: A new approach for creating potential therapeutic donor cells with enhanced and suppressed insulin production based on one of the latest achievements of human genome editing was developed. Both synthetic transcription activator (VP64) and transcription repressor (KRAB) proteins were shown to function adequately well as a part of the whole CRISPR/Cas9-based system. We claim that our results have a lot to offer and can bring light to many studies where numerous labs are struggling on to treat this disease.
A Simple Sensorless Current Sharing Control for Input-Parallel Output-Parallel Dual Active Bridge Converters

The circuit parameters mismatch of input-parallel output-parallel (IPOP) dual active bridge (DAB) converter modules will cause power imbalances of the system. To solve this problem, in this article, we present a simple sensorless current sharing control based on dual-phase-shift (DPS) modulation method. First, the full process operation mode of IPOP DAB is analyzed. Then, the power balance mechanism of the IPOP DAB converter is discussed, and a sensorless current sharing control method is proposed. The core principle of the proposed method is based on the perturbation algorithm to estimate the parameter mismatches of each DAB cell. Once the parameter mismatches are known, the phase shifts that achieve current sharing are calculated. The implementation scheme based on CAN Bus is given, and sensitivity and stability analysis of the proposed method is conducted. Finally, the simulation and experimental results verify the effectiveness of the proposed control strategy.
SP-SLAM: Surfel-Point Simultaneous Localization and Mapping

In this article, a novel method for simultaneous localization and mapping (SLAM) named surface elements (surfel) point SLAM (SP-SLAM) is proposed using an RGB-D camera. The key idea of SP-SLAM is to use not only keypoints but also surfels as features to cope with both high texture and low texture environments. By decomposing a surface into a small number of surfels, the method can represent spacious environments using a relatively small amount of memory. To optimize the poses of points, surfels, and cameras altogether, new objective functions are proposed, and a new bundle adjustment using these objective functions is developed. The proposed SP-SLAM runs in real time on a central processing unit as in other feature-based visual SLAM methods but works better than them not only in high texture but also in low texture environments, overcoming well-known drawbacks of feature-based visual SLAM with degradation in low texture environments. The proposed method is applied to benchmark datasets and its effectiveness is demonstrated by comparing against those of previous methods in terms of localization accuracy.
Applications of 3D Bioprinting in Tissue Engineering and Regenerative Medicine

Regenerative medicine is an emerging field that centers on the restoration and regeneration of functional components of damaged tissue. Tissue engineering is an application of regenerative medicine and seeks to create functional tissue components and whole organs. Using 3D printing technologies, native tissue mimics can be created utilizing biomaterials and living cells. Recently, regenerative medicine has begun to employ 3D bioprinting methods to create highly specialized tissue models to improve upon conventional tissue engineering methods. Here, we review the use of 3D bioprinting in the advancement of tissue engineering by describing the process of 3D bioprinting and its advantages over other tissue engineering methods. Materials and techniques in bioprinting are also reviewed, in addition to future clinical applications, challenges, and future directions of the field.
PV Panel to PV Panel Transfer Method for Modular Differential Power Processing

This article proposes a realization of the photovoltaic (PV) panel to PV panel (P2P) method for the modular differential power processing (mDPP). The approach is modular and permits panels to be added to or removed from either series strings or paralleled connections. A voltage inner loop and power outer loop control strategy tracks the individual maximum power point of the PV panel, as well as converts only the differential power. The proposed method decouples the control loop performance of each PV module, making design simple. Simulation results validate the plug and play function for scalable PV system and MPPT accuracy. Hardware prototype is also built, and both indoor and outdoor experiments are provided to exhibit the advantage of this P2P method. Drawbacks and limitations are also discussed.
Resilience and Mental Health in the Polish Population during the COVID-19 Lockdown: A Mediation Analysis

The aim of this paper was to assess the state of resilience and well-being in the Polish population during the COVID-19 pandemic. We also assessed the relationship between resilience and mental health. Finally, we tested the mediating role of COVID-19 anxiety, persistent thinking, and the stress burden in the relationship between mental health and resilience. This research perspective can provide important insights into how individuals can become mentally stronger during the COVID-19 pandemic. Methods: This study included 1758 people (73% women) aged 18–80 years. The procedure consisted of completing a questionnaire measuring well-being, COVID-19 anxiety, obsession with COVID-19, stress over COVID-19, and resilience. Results: Bootstrap sampling analysis showed significant partial mediators for the relationship between resilience and well-being. Important mediators were coronavirus anxiety, persistent thinking, and perceived stress. Conclusions: The results of the present study clearly indicate that resilience as a protective factor is associated with reduced anxiety about COVID-19, perceived stress burden, obsessive thoughts about the pandemic, and increased well-being of individuals. Resilience plays an important role in minimizing negative and enhancing positive health indicators in the face of challenging life events.