Miracle-dz/UniFAR-FTUs huggingface dataset:
Incidence, treatment and survival of malignant pleural and peritoneal mesothelioma: a population-based study

Introduction Malignant mesothelioma (MM) is an aggressive cancer that primarily arises from the pleura (MPM) or peritoneum (MPeM), mostly due to asbestos exposure. This study reviewed the Dutch population-based incidence, treatment and survival since the national ban on asbestos in 1993. Materials and methods Patients with MPM or MPeM diagnosed from 1993 to 2018 were selected from the Dutch cancer registry. Annual percentage change (APC) was calculated for (age-specific and sex-specific) revised European standardised incidence rates (RESR). Treatment pattern and Kaplan-Meier overall survival analyses were performed. Results In total, 12 168 patients were included in the study. For male patients younger than 80 years, the MM incidence significantly decreased in the last decade (APC ranging between −9.4% and −1.8%, p<0.01). Among both male and female patients aged over 80 years, the incidence significantly increased during the entire study period (APC 3.3% and 4.6%, respectively, p<0.01). From 2003 onwards, the use of systemic chemotherapy increased especially for MPM (from 9.3% to 39.4%). Overall, 62.2% of patients received no antitumour treatment. The most common reasons for not undergoing antitumour treatment were patient preference (42%) and performance status (25.6%). The median overall survival improved from 7.3 (1993–2003) to 8.9 (2004–2011) and 9.3 months from 2012 to 2018 (p<0.001). Conclusion The peak of MM incidence was reached around 2010 in the Netherlands, and currently the incidence is declining in most age groups. The use of systemic chemotherapy increased from 2003, which likely resulted in improved overall survival over time. The majority of patients do not receive treatment though and prognosis is still poor.
An Approach to Estimate Parameters of Single Transmission Line Based on Multi-Interval Information Measured by SCADA and Phasor Measurement Units

Based on multi-interval information measured by phasor measurement units(PMU) and supervisory control and data acquisition(SCADA) system located at both sides of a single transmission line,five least squares constraints optimization models for parameter estimation of single transmission line are built,in which the measurement equations are composed of following measurements: the active power,reactive power and votlage amplitude are measured by SCADA at both sides of transmission line;the phasors of votlage and current are measured by PMUs;and the phase differences of voltage and current between both sides of transmission line are virtually measured by PMUs.The constraint equationa are composed of upper and lower physical constraints of parameter variables.The parameter estimation is solved by lsqnonlin optimization function in Matlab.Based on simulated measurement information of multi typical transmission lines the applicable conditions of all built models are simulated.Simulation results show that the impedance parameters of transmission line can be effectively estimated by four of the built models,which contains PMU measurement,under heavier load and longer length of transmission line.
Theoretical and experimental study of sub-Nyquist FMCW LIDAR systems

Empirical and experimental results are provided, proving the successful application of sub-Nyquist sampling to wide-bandwidth linear frequency modulated waveforms commonly used in ranging applications. The wide bandwidth nature of these waveforms traditionally dictate the need for high speed digitizers and matched filtering in order to determine the range to an object. We propose that a sub-Nyquist rate digitizer, along with the notions of sparse recovery, can be used to significantly reduce the rate and number of samples necessary to detect the range to an object, thereby reducing overall system cost. Specifically, the application of these concepts to a laser based ranging system is explored, and properties of the sensing matrix are investigated as well as possible sparse recovery performance.
A PFC Based BLDCM Drive for Low Power Household Appliances

Abstract This work presents a low cost PFC (Power Factor Correction) based BLDCM (Brushless DC Motor) drive targeting low power household appliances. Development of a highly efficient BLDCM drive with minimum amount of sensing requirement is the primary objective of this work. The switching losses in the VSI (Voltage Source Inverter) feeding BLDCM is reduced by electronically commutating the BLDCM and controlling its speed by controlling the voltage of the DC bus. A PFC buck-boost converter is used as a front-end converter due to its simplicity in design, minimum number of component count and its ability to buck and boost the voltage to control the speed over a wide range. The PFC buck-boost converter operating in DICM (Discontinuous Inductor Current Mode) is used for the control of DC bus voltage. An inherent PFC is achieved for variation of speed over a wide range at universal AC mains (90–265 V). The obtained PQ (Power Quality) indices are within the recommended limits of international PQ standards IEC 61000–3-2. The performance of proposed BLDCM drive is simulated in MATLAB/Simulink environment and validated experimentally on a developed prototype of the drive.
The use of epic narratives in promoting ‘natural agriculture’

This paper profiles some key promoters of nature-based and natural systems agriculture – Masanobu Fukuoka, Wes Jackson, Jerome Irvin Rodale and Robert Rodale, and Allan Savory. The focus is on ‘narratives with epic elements’ that have been constructed around these personalities, and how these have helped gain legitimacy and influence for themselves, their ideas, and their organisations. Similar processes and dynamics can be seen in more mainstream agricultural research. As the struggle over the future of agriculture is increasingly played out in corporate boardrooms, through PR agencies and on social media, it is critically important to understand how narratives with epic elements emerge, and are used to influence the debate about the future of agriculture and the potential contribution of nature-based solutions.
New simulation-based approach for the profile control in a process chamber: Fluid, thermal, and plasma profile

Process chamber is the core unit of chemical vapor deposition and etching, and the physical fields in it have fatal effect on process quality. It is significant and difficult for improving the process performance to regulate the fields’ profiles finely. Two design solutions for the profile regulation are proposed: controllable type and resistance type. A novel profile error feedback method is presented, and a simulation-based auto-design framework is established. The profile error feedback method is in a quasi-closed-loop-control mode. It starts from an initial guessed sequence of the design/control variables and predicts a better sequence via feedback of the profile error between the output-targeted profile and the expected one. It never stops until the profile error is narrowed in the preset tolerance. Three kinds of numerical experiments about the regulation of the thermal, fluid, and plasma profile are set to test the effectiveness and feasibility of the profile error feedback method and the two kinds of design schemes.
Si@MXene/graphene crumbled spherical nanocomposites

The great interest to develop the elevated capacity of silicon (Si)‐based anode material is the future necessitate for Li‐ion batteries. The three‐dimensional (3D) microsphere Si@MX‐RG nanocomposite was synthesized employing the facile spray drying method. Moreover, silicon (Si) with sponge‐like few‐layer 2D materials (MXene/reduced graphene [MX‐RG])‐based nanostructure composite has been prepared using a spray dryer. As‐prepared MX and graphene are correspondingly derived from (LiF‐HCl) chemical etching and chemical oxidation, respectively. The FE‐SEM surface morphological views explored highly crumbled pure MX, Si@MX, Si@MX‐RG spray‐dried microsphere particle size ranges from 500 nm to 1 μm. The observed morphology results explored novel crumbled 3D nature morphology. The electrochemical performances of pure MX, Si@MX, Si@MX‐RG microsphere measured employing cyclic voltammetry (CV) revealed good anodic and cathodic peaks at 0.01–1.5 V, and electrochemical impedance spectroscopy (EIS) was analyzed for charge transfer resistance (Rct) of 42 Ω. The galvanostatic charge‐discharge (GCD) profile for Si@MX‐RG microsphere explored 2723 mAh/g anode capacity for the initial cycle, and its initial columbic efficiency (ICE) is 89.1% and it is greatly improved with the second cycle (96.8%). A high reversible 1422 mAh/g specific capacity at 3 C is revealed at 200 cycles. The excellent cycle stability and better rate capability explored exclusive structural devices of novel microspheres. Hence, we confirmed the MX and RG sheets wrapped by silicon cores are having superior conductive MX‐RG and efficiently improve electrical conductivity.
High- and new-technology enterprise certification, enterprise innovation ability and export product quality

ABSTRACT This paper takes the China high- and new-technology enterprise (HNTE) program implemented in 2008 as a quasi-natural experiment. Difference-in-differences (DID) estimate with matching data from the China Industrial Enterprise Database, the China Customs Database and the HNTE Certification Database for 2006–2010 is used to study the impact of HNTE certification on enterprises’ export product quality. The results show that, overall, HNTE certification promotes the upgrading of export product quality. Moreover, the improvement of innovation ability brought by HNTE certification is an important channel to promote such upgrades. A series of robustness tests also confirm the above conclusions. In addition, heterogeneity analyses are conducted based on the enterprise size, ownership and trade mode, respectively. The results show that the mechanism by which HNTE certification policy promotes export product quality through the improvement of enterprise innovation ability is more significant in non-SOEs and general trading enterprises.
An Integrative Approach to Characterize the Early Phases of Dimethylhydrazine-Induced Colorectal Carcinogenesis in the Rat

This study aimed to characterize an animal model of colorectal cancer (CRC) in the early stages of disease development. Twenty-nine male Wistar rats were divided into two control groups (CTRL1 and CTRL2), receiving EDTA–saline injections and two induced groups (CRC1 and CRC2), receiving 1,2-dimethylhydrazine (DMH) injections for seven consecutive weeks. CRC1 and CTRL1 were euthanized at the 11th week, while CRC2 and CTRL2 were euthanized at the 17th week. DMH treatment decreased microhematocrit values and IL-6, ghrelin, and myostatin serum levels. Histopathological analysis of intestinal sections showed that DMH-treated rats were characterized by moderate to severe epithelial dysplasia. An adenoma was observed in one animal (CRC2 group), and the presence of inflammatory infiltrate at the intestinal level was primarily observed in DMH-treated animals. DMH also induced Ki-67 immunoexpression. The gut microbiota analysis showed a higher abundance of Firmicutes, Clostridia, Clostridiales, Peptostreptococcaceae, Blautia, Romboutsia, and Clostridium sensu stricto in CRC than CTRL rats, whereas Prevotellaceae, Prevotella, Akkermansia, and Lactobacillus levels were more prevalent in CTRL animals. Our results suggest that this model could be helpful to investigate chemoprevention in the early stages of CRC.
Development and evaluation of a standardized technique to assess teat skin temperature of dairy cows using infrared thermography

Graphical Abstract Summary: Infrared thermography (IRT) facilitates contactless measurements of surface temperature and could be used to assess teat blood circulation of dairy cows by assessing teat skin temperature. Here, we describe the development and evaluation of a scanning technique to quantify teat skin temperature with IRT. Two operators obtained duplicate images of hind teats with a portable thermography camera. One investigator divided the teats into proximal, middle, and distal segments and recorded average temperature for each segment. We assessed the precision of measurements by means of interoperator reproducibility and intraoperator repeatability; agreement results were excellent for both. We conclude that precise measurements of teat skin temperature can be obtained using IRT.
Hybrid Beamforming Grouping Sum-Rate Maximization Algorithm for Multiuser mmWave Massive MIMO Systems

For multiuser millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, the key factor that causes the system sum-rate to change is its interference plus noise, corresponding to the number of base station (BS) antennas and signal-to-noise ratio (SNR) variation causing the system sum-rate changes, which in turn affects the user’s communication quality. Based on this, this paper proposes an improved low-complexity hybrid beamforming grouping sum-rate maximization (HBG-SRM) algorithm to achieve system sum-rate maximization under the premise that both BS and user side use hybrid beamforming architecture and the channel state information (CSI) of the downlink channel is perfect. The algorithm first predefines a relevant threshold value, which is used to group multiusers; then, the user uses the maximum likelihood (ML) criterion to identify the optimal beam and estimate its beamforming gain within each group, and finally, the user compares all the candidate optimal beam gains between each group to confirm the optimal beamforming vector. The simulation results also verify the superiority of the proposed algorithm’s sum-rate over other algorithms.
Mechanistic Insights into the Polymorphic Associations and Cross-Seeding of Aβ and hIAPP in the Presence of Histidine Tautomerism: An All-Atom Molecular Dynamic Study

Hundreds of millions of people around the world have been affected by Type 2 diabetes (T2D) which is a metabolic disorder. Clinical research has revealed T2D as a possible risk factor for Alzheimer’s disease (AD) development (and vice versa). Amyloid-β (Aβ) and human islet amyloid polypeptide are the main pathological species in AD and T2D, respectively. However, the mechanisms by which these two amyloidogenic peptides co-aggregate are largely uninvestigated. Herein, for the first time, we present the cross-seeding between Amylin1-37 and Aβ40 considering the particular effect of the histidine tautomerism at atomic resolution applying the all-atom molecular dynamics (MD) simulations for heterodimeric complexes. The results via random seed MD simulations indicated that the Aβ40(δδδ) isomer in cross-talking with Islet(ε) and Islet(δ) isomers could retain or increase the β-sheet content in its structure that may make it more prone to further aggregation and exhibit higher toxicity. The other tautomeric isomers which initially did not have a β-sheet structure in their monomeric forms did not show any generated β-sheet, except for one seed of the Islet(ε) and Aβ40(εεε) heterodimers complex that displayed a small amount of formed β-sheet. This computational research may provide a different point of view to examine all possible parameters that may contribute to the development of AD and T2D and provide a better understanding of the pathological link between these two severe diseases.
Experimental and Numerical Investigation of Delta Wing Flutter in Low Subsonic Flow

The problem of low subsonic delta-wing flutter has been studied experimentally and numerically. The wing model is a cantilevered delta wing with a sweep angle of 45˚. In the experiment, the wing starts to oscillate with relatively small amplitude at a particular velocity and then makes rapid transition to an oscillation with higher amplitude at a higher velocity. In the case that an angle of attack is not zero, the delta wing undergoes a static deflection. Effects of angle of attack and the static deflection on the flutter were investigated in detail. As an angle of attack increases, the flutter velocity and the velocity that causes the transition become higher. The oscillation characteristics are also significantly affected by angle of attack. Especially, in the cases with the angle of attack greater than 3˚, there are four regions with different characteristics. They are (a) static deflection, (b) LCO with low amplitude, (c) chaotic vibration, and (d) LCO with higher amplitude. In addition, in order to make sure of the flutter velocity, a CFD and CSD coupling approach was employed. The computed flutter velocity agreed with the velocity obtained in the experiment. Therefore, it is found that the transition at the higher velocity is not typical flutter and exists only when the wing oscillates with high amplitude.
Desalination Technology in South Korea: A Comprehensive Review of Technology Trends and Future Outlook

Due to advances in desalination technology, desalination has been considered as a practical method to meet the increasing global fresh water demand. This paper explores the status of the desalination industry and research work in South Korea. Desalination plant designs, statistics, and the roadmap for desalination research were analyzed. To reduce energy consumption in desalination, seawater reverse osmosis (SWRO) has been intensively investigated. Recently, alternative desalination technologies, including forward osmosis, pressure-retarded osmosis, membrane distillation, capacitive deionization, renewable-energy-powered desalination, and desalination batteries have also been actively studied. Related major consortium-based desalination research projects and their pilot plants suggest insights into lowering the energy consumption of desalination and mitigation of the environmental impact of SWRO brine as well. Finally, considerations concerning further development are suggested based on the current status of desalination technology in South Korea.
Measurements of differential cross-sections for top-quark pair production in association with additional jets in highly boosted events using the ATLAS detector

Top anti-top pair production at the Large Hadron Collider is often observed in the presence of additional high energy radiation. Similarly abundant top-quark pair production allows us to probe high transverse momentum top quarks. These proceedings showcase recent top-quark pair production cross-section measurements with a high energy (boosted) top-quark using proton-proton collision events at a centre-of-mass energy of 13 TeV recorded by the ATLAS detector from 2015 to 2018. The results are compared to different QCD predictions showcasing how suited current theories are to estimating complex, multi-scale, and above leading order processes. Differential top-quark pair cross-section measurements as functions of various event kinematic properties are presented, using events with a high transverse momentum large-R jet, one muon or electron and at least two 1 -tagged jets in the final-state. The sensitivity of these measurements to beyond Standard Model physics effects is also probed by imposing simultaneous limits on two effective field theory operators.
Pedestrians evacuation simulation based on genetic algorithm

So much research has been done simulate large scale pedestrian evacuation with social force model lattice, gas model, and cellular automaton model. In this paper, we proposed an improved solution based on genetic algorithm to simulate large scale evacuation in different situations with model framework. Compared with related methods, our results reduce the evacuation time and bring forth some new discoveries.
MicroRNAs as potential biomarkers for the diagnosis of inflammatory bowel disease: a systematic review and meta-analysis

Objective The clinical importance of aberrantly expressed microRNAs (miRNAs) in diagnosing inflammatory bowel disease (IBD) has not been well established, so was investigated in this systematic review and meta-analysis. Methods Articles in online databases from inception to March 17, 2021 were retrieved. Random effects meta-analysis was used to obtain sensitivity, specificity, positive (PLRs) and negative likelihood ratios (NLRs), diagnostic odds ratios (DORs), and areas under the curve (AUC) with 95% confidence intervals (CI) for IBD diagnosis. Results Of 117 studies reporting altered miRNA expression in IBD included in the systematic review, 15 involving 937 patients with IBD and 707 controls, 22 miRNAs, and two miRNA panels were eligible for meta-analysis. Pooled analyses showed a moderate diagnostic accuracy for miRNAs in the IBD diagnosis, with a sensitivity of 0.80 (95% CI: 0.79–0.82), specificity of 0.84 (95% CI: 0.82–0.86), DOR of 21.19 (95% CI: 13.90–32.31), and AUC of 0.89. Subgroup analyses revealed a better performance in patients with ulcerative colitis (AUC, 0.93) than Crohn’s disease (AUC, 0.84). Consistent upregulation of miR-21, miR-16, and miR-192 in blood with a high-moderate diagnostic accuracy was found in at least two studies. Conclusions These findings suggest miRNAs are credible diagnostic biomarkers in IBD.
Impact of As-Manufactured Ply Orientation

In the process of designing parts with complex geometries using fiber reinforced composite materials, an ideal fiber orientation is generally assumed for the analysis. As the fibers are laid to conform to complex geometries, the actual orientation can be quite different than the orientation that was assumed in the analysis. This effort explores the difference between the assumed orientation and the as-manufactured orientation of the lay-up and the impact on the design by considering the as-manufactured orientation. An automated process for assessing the manufactured orientation of the plies and reanalyzing the design is also presented.
Genotyping of respiratory syncytial virus among influenza‐like illness and severe acute respiratory infection cases of children in the Philippines from 2006 to 2016

Respiratory syncytial virus (RSV) is a leading cause of severe lower respiratory infection, and therefore, a major threat to global health. This study determined the epidemiological and molecular characteristics of RSV among cases of influenza‐like illness (ILI) and severe acute respiratory infection (SARI) among children in the Philippines.
Design and testing of ARMIT magnetic field sensors for EM systems

Summary We have designed and tested compact magnetic B and dB/dt sensors suitable for geophysical operation through monitoring the current and voltage induced in a test conductor within the sensor. Laboratory and field tests confirm that a 50 cm long sensor of mass less than 1 kg can be constructed with noise levels between 1 pT and 10 fT per √Hertz over the 10 Hz to 100 kHz bandwidth respectively. The sensors are robust, and a rigid 3 component mounting box with accelerometer orientation permits rapid field deployment without the need for levelling
Mining Online Reviews For Predicting Sales Performance in Movie Domain

Nowadays people posting reviews are increasing and it gives us the knowledge to buy the products. People can express their sentiments through reviews posted in websites, In this paper, we takes the movie domain and by the use of the reviews we can predict the movie sales performance. The question is how the sentiment factor can be analyzed in the reviews? For the sentiment factor, we propose Sentiment PLSA(S-PLSA) which helps us to find the hidden sentiment factors in the reviews and helps us to classify the reviews. Then we have to predict the sales performance, for the prediction regression is the best way to do and we suggest ARSA, an Autoregressive Sentiment Aware Model. To improve the prediction accuracy to enhance the quality factor we also consider ARSQA, an Autoregressive Sentiment and Quality Aware model to build the quality for predicting sales performance.