Miracle-dz/UniFAR-FTUs huggingface dataset:
Benign notochordal cell tumour: clinicopathology and molecular profiling of 13 cases

Aims To study the clinicopathological and molecular features of benign notochordal cell tumours (BNCTs) and their differential diagnosis from chordoma. Methods 13 cases of BNCT were investigated. The genome-wide copy number imbalances were performed using Oncoscan CNV array in three cases and fluorescence in situ hybridisation (FISH) detection of epidermal growth factor receptor (EGFR)/chromosome 7 enumeration probe (CEP7), LSI1p36/1q21, LSI19p13/19q13, CEP3/CEP12 and Telvysion 6 P was performed in 13 cases. Results All 13 BNCTs were symptomatic and eight cases showed a close relationship with the bones of the skull base. The important histological character for differential diagnosis with chordoma was the absence of extracellular matrix and eosinophil cells and the presence of vacuoles in most tumour cells. Immunohistochemical staining of AE1/AE3, vimentin, epithelial membrane antigen, S-100 and brachyury (100% each) were positive in BNCTs. Gain of chromosome 7 occurred in 10 cases (76.9%), gain of 1p in four (30.8%), gain of 1q in five (38.5%), gain of 19p and 19q in five (38.5%), gain of chromosome 12 in 11 cases (84.6%), gain of 6p in eight (61.5%) and gain of chromosome 3 in four cases (30.8%). Conclusions In contrast to chordoma, chromosome gain or normal copy number was more common while chromosome loss was infrequent in BNCTs. This may be a differential diagnosis clue for chordoma and may be an important characteristic in the progression of notochordal cell tumours.
Multi-objective Optimal Sizing and Real-time Control of Hybrid Energy Storage Systems for Electric Vehicles

Hybrid energy storage system (HESS) has been recognized as one of the most promising solutions to overcome the drawbacks of the expensive and short life lithium-ion battery with low power density, by introducing a proper number of supercapcitors. However, the hybridization introduces complicated sizing and energy management problems. This papers aims to investigate the sizing and real-time energy management of a devised HESS for electric vehicles with an electric race car as a case study. In particular, a proposed multi-objective Bi-level optimal sizing and control framework is implemented to find the optimal parameters of the energy management algorithm, the optimal number of the lithiumion battery cells and the supercapacitor banks. The simulation results have validated the effectiveness of the investigated methodology in minimizing the total mass of the HESS and maximizing the cycle life of the lithium-ion battery.
Klotho gene‐modified BMSCs showed elevated antifibrotic effects by inhibiting the Wnt/β‐catenin pathway in kidneys after acute injury

Klotho is a protein primarily expressed in renal tubular epithelial cells. Studies have suggested that Klotho is an antiaging protein that reduces renal fibrosis after acute kidney injury (AKI) and inhibits stem cell senescence. Bone marrow mesenchymal stem cells (BMSCs) have consistent proliferation ability and multidirectional differentiation ability and have been used to treat tissue injury. Thus, we hypothesized that Klotho expressed in BMSCs could increase the renal protective effects of BMSCs. To verify the hypothesis, we isolated BMSCs from C57BL/6 mice, transfected them with Klotho‐GFP‐adenovirus and investigated the change in BMSC proliferation. We then transplanted Klotho‐GFP‐BMSCs into mice with AKI and investigated the therapeutic effect compared with that of sham‐treated mice and GFP‐BMSC‐transplanted mice. Kidney fibrosis after ischemia/reperfusion injury (IRI) was relieved by BMSC transplantation, and the antifibrotic effect of BMSCs was significantly enhanced by overexpressing the Klotho gene. Mechanistic studies showed that Klotho increased pluripotency gene expression in BMSCs. Klotho produced by Klotho‐GFP‐BMSCs inhibited the Wnt/β‐catenin pathway in renal tubular epithelial cells (TECs). Klotho‐GFP‐BMSCs showed increased proliferative ability and more potent immuno‐regulation ability than did GFP‐BMSCs. Our findings suggested that Klotho gene‐modified BMSCs may be a better choice for cell therapy after AKI.
Impact of miRNA in Atherosclerosis.

MicroRNAs (miRNAs) have received most of the attention over the last decades in particular for their role in tempering gene expression. An increasing number of studies highlighting the importance of miRNAs in the development and progression of atherosclerosis have been performed. Recently, it was shown that miRNAs exert their role in the pathophysiology of atherosclerosis via the regulation of atherosclerosis-prone genes as well as their impact in regulating post-transcriptional gene expression. Hence, by affecting the level of synthesised protein within cells, they may be significant in driving the dysregulation that affects endothelial cells, smooth muscle cells and leukocytes, which initiates and augments the growth of an atherosclerotic plaque. Furthermore, the circulating levels of vascular cell-enriched miRNAs in patients could serve as a marker of disease severity and phenotypes. The accumulating evidence also indicates that their effects on atherosclerosis may allow us to exploit miRNAs as novel therapeutics or clinical biomarkers that may lead to better management of vascular diseases. Current reports providing insights into the impact of miRNAs and the mechanisms of their influences in atherosclerosis are reviewed here with a particular emphasis on studies that have been recently published in Arteriosclerosis, Thrombosis, and Vascular Biology.
In situ analyses of inorganic nutrient distribution in sweetcorn and maize kernels using synchrotron-based X-ray fluorescence microscopy

BACKGROUND AND AIMS Understanding the spatial distribution of inorganic nutrients within edible parts of plant products helps biofortification efforts to identify and focus on specific uptake pathways and storage mechanisms. METHODS Kernels of sweetcorn (Zea mays) variety 'High zeaxanthin 103146' and maize inbred line 'Thai Floury 2' were harvested at two different maturity stages, and the distributions of K, P, S, Ca, Zn, Fe and Mn were examined in situ using synchrotron-based X-ray fluorescence microscopy. KEY RESULTS The distribution of inorganic nutrients was largely similar between maize and sweetcorn, but differed markedly depending upon the maturity stage after further embryonic development. The micronutrients Zn, Fe and Mn accumulated primarily in the scutellum of the embryo during early kernel development, while trace amounts of these were found in the aleurone layer at the mature stage. Although P accumulated in the scutellum, there was no direct relationship between the concentrations of P and those of the micronutrients, compared with the linear trend between Zn and Fe concentrations. CONCLUSIONS This study highlights the important role of the embryo as a micronutrient reserve for sweetcorn and maize kernels, and the need to understand how biofortification efforts can further increase the inorganic nutrient concentration of the embryo for human consumption.
Platelets Can Soak It Up and Then Spit It Out.

Thrombotic thrombocytopenic purpura (TTP) is a prothrombotic disorder caused by a deficiency of ADAMTS13 (a disintegrin and metalloproteinase with a thrombospondin type 1 motif, member 13). Therapeutic intervention with recombinant ADAMTS13 may be ineffective when the disease is due to the presence of circulating inhibitors. However, α-granular– stored ADAMTS13 will be shielded from these antibodies until it is released at the time of platelet activation. The article by Abdelgawwad et al shows that both murine and human platelets incubated overnight with recombinant ADAMTS13 can take up biologically relevant levels of ADAMTS13. Platelet-stored ADAMTS13 can then be released at sites of endothelial injury, limiting pathological thrombus formation both in vitro and in vivo, even in the presence of TTP associated with ADAMTS13-blocking antibodies.
Monocular Visual-Inertial Odometry Based on Sparse Feature Selection with Adaptive Grid

For sparse feature based visual-inertial odometry, feature selection is vital to the performance. The selected features should be evenly distributed in the image and be appropriate for tracking. This paper presents a visual-inertial odometry approach based on sparse feature selection with the adaptive grid to improve the performance in different environments. In the proposed approach, FAST corner detection is employed in every grid, the size of which is adaptively adjusted. Features in the same grid are ranked and selected based on scores to ensure good feature quality. Subsequently, the selected features are tracked by the KLT sparse optical flow with local intensity normalization. Finally, the inertial and visual measurements are jointly optimized by sliding window based nonlinear optimization to achieve six degrees of freedom motion estimation. The proposed method is validated on the public dataset and real-world experiments, which shows our approach reaches state-of-the-art performance.
Exploiting NOMA for Multi-Beam UAV Communication in Cellular Uplink

Unmanned aerial vehicles (UAVs) are expected to be an important new class of users in the fifth generation (5G) and beyond 5G cellular networks. In particular, there are emerging UAV applications such as aerial photograph and data relaying that require high-speed communications between the UAVs and the ground base stations (GBSs). Due to the high UAV altitude, the strong line-of-sight (LoS) links generally dominate the channels between the UAVs and GBSs, which brings both opportunities and challenges in the design of future wireless networks supporting both terrestrial and aerial users. Although each UAV can associate with more GBSs for communication as compared to terrestrial users thanks to the LoS-dominant channels, it also causes/suffers more severe interference to/from the terrestrial communications in the uplink/downlink. This paper studies the uplink communication from a multi-antenna UAV to a set of GBSs within its signal coverage by considering a practical yet challenging scenario when the number of antennas at the UAV is smaller than that of co-channel GBSs. To achieve high-rate transmission yet avoid interfering with any of the existing terrestrial communications at the co-channel GBSs, we propose a novel multi-beam transmission strategy by exploiting the nonorthogonal multiple access (NOMA) technique. Specifically, the UAV sends each data stream to a selected subset of the GBSs, which can decode the UAV's signals and then cancel them before decoding the messages of their served terrestrial users, and in the meanwhile nulls its interference at the other GBSs via zero-forcing (ZF) beamforming. To draw essential insight, we first characterize in closed-form the degrees-of-freedom (DoF) achievable for the UAV's sum-rate maximization under the proposed strategy. Then, we propose an efficient algorithm to jointly optimize the number of UAV data streams, the data stream-GBS association, and the transmit beamforming to maximize the UAV's transmit rate subject to the interference avoidance constraints for protecting the terrestrial users. Numerical examples are provided to verify the effectiveness of the proposed NOMA-based multi-beam transmission strategy.
An Overview of Smart Contract: Architecture, Applications, and Future Trends

With the rapid development of cryptocurrency and its underlying blockchain technologies, platforms such as Ethereum and Hyperledger began to support various types of smart contracts. Smart contracts are computer protocols intended to digitally facilitate, verify, or enforce the negotiation or performance of a contract. Smart contracts have broad range of applications, such as financial services, prediction markets and Internet of Things (IoT), etc. However, there are still many challenges such as security issues and privacy disclosure that await future research. In this paper, we present a comprehensive overview on blockchain powered smart contracts. First, we give a systematic introduction for smart contracts, including the basic framework, operating mechanisms, platforms and programming languages. Second, application scenarios and existing challenges are discussed. Finally, we describe the recent advances of smart contract and present its future development trends, e.g., parallel blockchain. This paper is aimed at providing helpful guidance and reference for future research efforts.
A Domain Model for Requirements-Driven Insight for Internal Stakeholders: A Proposal for an Exploratory Interactive Study

We propose conducting a 90-minute, interactive exploratory study at EmpiRE'18 that engages attendees in constructing a domain model for requirements-driven insight into system development for internal stakeholders. The domain model is anticipated to enhance internal stakeholders' (e.g., developers, architects, quality manager, etc.) insight into system development from the standpoint of requirements. This should improve: (i) communication among internal stakeholders; (ii) control and management of process and resources for providing requirement-driven insight to stakeholders; and (iii) reuse of the domain model across projects. The study is aimed to generate empirical data to further elaborate and enhance the preliminary model. The participants of the study will be engaged in a model building exercise, and, consequently, have insight into the domain model for internal stake-holders. The revised model will be widely available through subsequent publications. The published model would form a base for further research in the RE community and a guide for practitioners in development projects.
Real-time Pedestrian and Vehicle Detection for Autonomous Driving

Fast and efficient pedestrian detection and vehicle detection has become an increasingly important task in the autonomous driving technology. In this paper, we propose a new pedestrian detection and vehicle detection algorithm based on the YOLOv2 with optimized feature extraction. We adopt the priori experience about the feature box sizes, instead of K-mean clustering algorithm in the original YOLOv2 algorithm. We first conduct statistical analysis on the dataset with a label of pedestrian label and vehicles, and then we design the initial value of the pre-selection box that is more in line with the characteristics of pedestrian and vehicle. Together with hard negative mining, multi-scale training, and model pretraining, the proposed algorithm not only improves the detection accuracy but also keeps the good detection efficiency. Experimental results on traffic benchmark record demonstrate that the optimized algorithm satisfies the real-time capability and the accuracy requirement of the lowspeed autonomous driving.
Identification and Characterization of Novel CFTR Potentiators

There is still a high unmet need for the treatment of most patients with cystic fibrosis (CF). The identification and development of new Cystic Fibrosis Transmembrane conductance Regulator (CFTR) modulators is necessary to achieve higher clinical benefit in patients. In this report we describe the characterization of novel potentiators. From a small screening campaign on F508del CFTR, hits were developed leading to the identification of pre-clinical candidates GLPG1837 and GLPG2451, each derived from a distinct chemical series. Both drug candidates enhance WT CFTR activity as well as low temperature or corrector rescued F508del CFTR, and are able to improve channel activity on a series of Class III, IV CFTR mutants. The observed activities in YFP halide assays translated well to primary cells derived from CF lungs when measured using Trans-epithelial clamp circuit (TECC). Both potentiators improve F508del CFTR channel opening in a similar manner, increasing the open time and reducing the closed time of the channel. When evaluating the potentiators in a chronic setting on corrected F508del CFTR, no reduction of channel activity in presence of potentiator was observed. The current work identifies and characterizes novel CFTR potentiators GLPG1837 and GLPG2451, which may offer new therapeutic options for CF patients.
Peripapillary Microvascular and Neural Changes in Diabetes Mellitus: An OCT-Angiography Study.

Purpose To evaluate peripapillary vessel density and morphology in patients with diabetes mellitus (DM) without clinical signs of diabetic retinopathy (DR) and with mild, nonproliferative DR and to correlate with peripapillary nerve fiber layer (NFL) thickness. Methods One hundred seventeen eyes (34 healthy controls, 54 patients with DM without DR [noDR group] and 24 patients with mild DR [DR group]) were prospectively evaluated. All subjects underwent peripapillary and macular optical coherence tomography angiography (OCT-A). Peripapillary NFL thickness was also recorded. OCT-A slab of radial peripapillary plexus (RPC) and macular superficial capillary plexus (SCP) were analysed in order to calculate perfusion density (PD) and vessel density (VD). Further an image analysis of RPC slab was performed to identify number of branches (NoB) and total branches length (tBL). Results In peripapillary area there was a significant decrease in VD (P = 0.003), NoB (P < 0.001), and tBL (P < 0.001) in noDR group versus controls; PD values were not different among groups (P = 0.126); there was a significant decrease in average NFL thickness in DR versus controls (P = 0.008) and in the inferior quadrant in noDR group versus controls (P = 0.03); there was a significant correlation between OCT-A and NFL thickness values (ρ ranging from 0.19-0.57). In macular region PD and VD were decreased only in DR group (P < 0.05). Conclusions There are early changes in the peripapillary vessel morphology and VD of the RPC in patients with DM without DR that correlate to NFL thinning. Earlier changes in superficial vessel density are documented in the peripapillary than in the macular region. These data may confirm a coexistence of an early neuronal and microvascular damage in patients with DM without clinical signs of DR.
The influence of feeding behaviour on growth performance, carcass and meat characteristics of growing pigs

This study investigated the effect of the feeding behaviour on growth performance, and carcass and meat characteristics of 96 barrows fed ad libitum or restrictively with high or low amino acids (AA) diets according to a 2 × 2 factorial design. The feeding behaviour traits were measured with automated feeders. From 86 kg BW, half of the pigs were given feeds with high indispensable (AA) contents, while the other half received feeds with indispensable AA contents reduced by 9% in early finishing (86–118 kg BW) and by 18% in late finishing (118–145 kg BW). Body lipid and protein retentions were estimated from BW and backfat depth measures recorded at the beginning and end of each period. Pigs were slaughtered at 145 kg BW and carcass and meat quality data were recorded. Phenotypic correlations among feeding behaviours, growth performances, and carcass and meat traits were computed from all the data after adjustment for the effects of feeding treatments. As feeding rate was the behavioural trait most highly correlated with performance and carcass traits, the records of each pig were classified into feeding rate tertiles. Then, the data were statistically analysed using a mixed model, which included feed restriction (FR), AA reduction (AAR), the FR × AAR interaction and the feeding rate tertile as fixed factors, and pen as a random factor. Pigs eating faster (52.1 to 118.9 g/min) had significantly greater final body weights (16%), average daily weight gains (27%), estimated protein gains (22%), estimated lipid retention (46%), carcass weights (16%), weights of lean cuts (14%), weights of fat cuts (21%), proportions of fat in the carcass (14%), and 4% lower proportions of carcass lean cuts than pigs eating slowly (12.6 to 38.2 g/min). Manipulating the eating rate, through management or genetic strategies, could affect feed intake and subsequent growth performance, hence carcass quality, but have little influence on feed efficiency.
Angioedema and Hemorrhage After 4.5-Hour tPA (Tissue-Type Plasminogen Activator) Thrombolysis Ameliorated by T541 via Restoring Brain Microvascular Integrity

Background and Purpose— tPA (tissue-type plasminogen activator) is the only recommended intravenous thrombolytic agent for ischemic stroke. However, its application is limited because of increased risk of hemorrhagic transformation beyond the time window. T541 is a Chinese compound medicine with potential to attenuate ischemia and reperfusion injury. This study was to explore whether T541-benefited subjects underwent tPA thrombolysis extending the time window. Methods— Male C57BL/6 N mice were subjected to carotid artery thrombosis by stimulation with 10% FeCl3 followed by 10 mg/kg tPA with/without 20 mg/kg T541 intervention at 4.5 hours. Thrombolysis and cerebral blood flow were observed dynamically until 24 hours after drug treatment. Neurological deficit scores, brain edema and hemorrhage, cerebral microvascular junctions and basement membrane proteins, and energy metabolism in cortex were assessed then. An in vitro hypoxia/reoxygenation model using human cerebral microvascular endothelial cells was used to evaluate effect of T541 on tight junctions and F-actin in the presence of tPA. Results— tPA administered at 4.5 hours after carotid thrombosis resulted in a decrease in thrombus area and survival rate, whereas no benefit on cerebral blood flow. Study at 24 hours after tPA administration revealed a significant angioedema and hemorrhage in the ischemia hemisphere, a decreased expression of junction proteins claudin-5, zonula occludens-1, occludin, junctional adhesion molecule-1 and vascular endothelial cadherin, and collagen IV and laminin. Meanwhile, ADP/ATP, AMP/ATP, and ATP5D (ATP synthase subunit) expression and activities of mitochondria complex I, II, and IV declined, whereas malondialdehyde and 8-Oxo-2′-deoxyguanosine increased and F-actin arrangement disordered. All the insults after tPA treatment were attenuated by addition of T541 dose dependently. Conclusions— The results suggest T541 as a potential remedy to attenuate delayed tPA-related angioedema and hemorrhage and extend time window for tPA treatment. The potential of T541 to upregulate energy metabolism and protect blood-brain barrier is likely attributable to its effects observed.
Predictors of Weight Restoration in a Day-Treatment Program that Supports Family-Based Treatment for Adolescents with Anorexia Nervosa

ABSTRACT Family-Based Treatment (FBT) is considered a first-line treatment for adolescents with eating disorders. The traditional outpatient model of FBT may not, however, be appropriate for adolescents requiring more intensive treatment due to severe medical complications or insufficient progress in traditional outpatient FBT. In response, efforts have been made to incorporate FBT into higher levels of care, such as day-treatment programs (DTPs), for families who need additional support. Little is known about the factors that predict weight restoration for DTPs intended to support FBT. The current study examined the ability of specific adolescent and caregiver variables to predict weight restoration at discharge for adolescents with anorexia nervosa (AN) enrolled in a skills-based DTP that supports FBT. Participants were 87 adolescents diagnosed with AN and their caregivers (N = 74). Body Mass Index (BMI) at baseline, percentage of Expected Body Weight (%EBW) gain within the first 4 weeks, and caregiver empowerment level at baseline were found to significantly predict weight restoration. Higher BMI at baseline and higher %EBW gained in the first 4 weeks of treatment were predictive of weight restoration, whereas lower caregiver empowerment at baseline was predictive of weight restoration. Additionally, the rate of weight gain is reported for this DTP grounded in FBT philosophy.