Miracle-dz/UniFAR-FTUs huggingface dataset:
Fabrication Technology of Involute Micro Gear Based on Two-Photon of Femtosecond Laser

Microfabrication is a kind of critical technology for the development of Micro Electro-Mechanical Systems (MEMS). The frequently-used microfabrication technologies are electric discharge machining, photoetching, LIGA and laser fabrication, et al. Micro structures may be fabricated by these technologies. The polymerization principle of two-photon of femtosecond laser is different from that of single-photon. Photoinitiator of photosensing material absorbs two photons simultaneously to accomplish energy level transition and to induce the material to occur photochemical reaction. For the material absorbing two photons, the energy of each photon is equivalent to half of the energy that needed by the material transiting from ground state to excited state. It is also equal to half of the energy needed by the material occurring single-photon absorption. Therefore, the photonic frequency of two-photon excitation light source is half of the single-photon light source. According to two-photon fabrication principle, machining system of two-photon of femtosecond laser is set up. Which includes light path transmission equipment, three dimensional micro displacement scanning stage and control software, et al. Involute micro gear is fabricated by two-photon of femtosecond laser generated by the system.
GMD Perspective : the quest to improve the 1 evaluation of groundwater representation in 2 continental to global scale models 3 4

ions Crucial for groundwater depletion and sustainability studies National scale data highly variable in quality; downscaling uncertain de Graaf et al. 2014 Döll et al. 2014 National-scale data down-scaled to grid Streamflow or spring flow observations Widely available at various scales; low flows can be related to groundwater Challenging to quantify the flows between groundwater and surface water from streamflow Global Runoff Data Centre (GRDC) or other data sources; large to small basin; Olarinoye et al. 2020 point measurements of spring flow https://doi.org/10.5194/gmd-2021-97 Preprint. Discussion started: 20 April 2021 c © Author(s) 2021. CC BY 4.0 License.
Optimal planning for the reuse of municipal solid waste considering economic, environmental, and safety objectives

A mathematical programming model is presente for the optimal planning of the reuse of municipal solid waste (MSW) to maximize the economic benefit while simultaneously considering sustainability and safety criteria. The proposed methodology considers several phases of the supply chain including waste separation, distribution to processing facilities, processing to obtain useful products, and distribution of products to consumers. Additionally, the safety criteria are based on the potential fatalities associated with waste management. The proposed optimization model is formulated as a multiobjective optimization problem, which considers three different objectives including the maximization of the net annual profit, the maximization of the amount of reused MSW, and the minimization of the social risk associated with the supply chain. The proposed model is applied to a case study in the central-west region of Mexico. The results show the tradeoff between the social risk and the economic and environmental criteria. © 2015 American Institute of Chemical Engineers AIChE J, 61: 1881–1899, 2015
Novel MMIC architectures of wideband microwave active filters for frequency tuning and bandwidth multiplexing

This article reports on novel architectures for designing tunable microwave active bandpass filters in monolithic microwave integrated circuit (MMIC) technology.The first two MMICs illustrate a specific synthesis method of microwave active bandpass filters and its extension to the frequency tunability, both were designed using the UMS PH25 process (UMS foundry; 0.25 μm GaAs p‐type high electron mobility transistor (pHEMT)). The third MMIC chip, designed using the OMMIC ED02AH process (OMMIC foundry; 0.2 μm GaAs pHEMT), illustrates a new application of the previous synthesis method, and concerns the design of an active filter allowing bandwidth multiplexing. © 2011 Wiley Periodicals, Inc. Microwave Opt Technol Lett 53:2680–2689, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26347
Prolonged Epstein-Barr virus reactivation coincident with chronic graft-versus-host disease after allogeneic hematopoietic stem cell transplantation

Herpesvirus reactivation affects the clinical course and outcomes of allogeneic hematopoietic stem cell transplantation (HSCT). Epstein-Barr virus (EBV) is a herpesvirus, which sometimes causes post-transplantation lymphoproliferative disorder (PTLD) [1,2]. While the effects of cytomegalovirus and human herpesvirus-6 on transplantation outcomes have been reported previously, those of EBV on the clinical courses of conditions other than PTLD are unclear. It was recently demonstrated that donor and recipient EBV seropositivity influence transplant outcomes and increase the risk of chronic graft-ver-sus-host disease (cGVHD) [3, 4]. However, the relationship between changes in EBV viral loads and cGVHD has not been assessed. We report three cases of EBV reactivation and concomitant cGVHD (Table 1 and Figure 1). The three patients suffered from prolonged EBV reactivation and moderate to severe cGVHD, according to the National Institutes of Health method for assessing the global severity of cGVHD [5]. allogeneic HSCT anti-gen (HLA)-matched sibling for acute myeloid leukemia while in complete remission. T-cell depletion was not included in the conditioning regimen. grade 1
Study on Waste Reduction Process Based on Hierarchical Analytical Method

With the rapid development of urbanization, the improvement of living standard and the conversion of lifestyle, municipal household garbage treatment is becoming a challenging issue. The hierarchical analytical method is used in the present paper to establish a classification model on the waste reduction, so that each factor in the waste reduction classification is quantitatively analyzed, and the weight is determined by the three-demarcation method; On this basis, the key measures for the reduction and classification work are determined and put forward, and the effect of the waste reduction and classification in the next 5 years is predicted by taking Shenzhen city as an example.
Robust fuzzy sliding mode controller for a skid-steered vehicle subjected to friction variations

Skid-steered vehicles (SSV) are gaining huge importance in the market due to their applications like construction, agricultural work, material handling etc. The accuracy of performing such tasks require a robust control algorithm. The design of such controller is very challenging task due to external disturbances caused by wheel-ground interaction and aerodynamic effects. This paper proposes robust fractional and integral order fuzzy sliding mode controllers (FSMC, FFSMC) for a skid-steered vehicles with varying coefficient of friction and a displaced center of gravity (CG). FFSMC controller reduces the outcome of forces generated as a result of ground tire interaction during skidding and friction variations. The proposed controllers are implemented for a four-wheel SSV under high-speed turning motion. A simulation environment is constructed by implementing the SSV dynamics with wheel-road model and the performance of the proposed algorithms is tested. The simulation test is conducted for a Pioneer-3AT (P-3AT) robot SSV vehicle with displaced CG and variable coefficient of tires friction. Simulation results demonstrate the efficiency of the proposed FFSMC algorithm in term of reduced state errors and minimum chattering. The proposed controller compensates the effect of different responses of the wheels generated as a result of variable CG. The chattering phenomenon generated by conventional SMCs is also minimized by fuzzy tuning approach.
Human B cell lineages associated with germinal centers following influenza vaccination are measurably evolving

The poor efficacy of seasonal influenza virus vaccines is often attributed to pre-existing immunity interfering with the persistence and maturation of vaccine-induced B cell responses. We previously showed that a subset of vaccine-induced B cell lineages are recruited into germinal centers (GCs) following vaccination, suggesting that affinity maturation of these lineages against vaccine antigens can occur. However, it remains to be determined whether seasonal influenza vaccination stimulates additional evolution of vaccine-specific lineages, and previous work has found no significant increase in somatic hypermutation among influenza-binding lineages sampled from the blood following seasonal vaccination in humans. Here, we investigate this issue using a phylogenetic test of measurable immunoglobulin sequence evolution. We first validate this test through simulations and survey measurable evolution across multiple conditions. We find significant heterogeneity in measurable B cell evolution across conditions, with enrichment in primary response conditions such as HIV infection and early childhood development. We then show that measurable evolution following influenza vaccination is highly compartmentalized: while lineages in the blood are rarely measurably evolving following influenza vaccination, lineages containing GC B cells are frequently measurably evolving. Many of these lineages appear to derive from memory B cells. We conclude from these findings that seasonal influenza virus vaccination can stimulate additional evolution of responding B cell lineages, and imply that the poor efficacy of seasonal influenza vaccination is not due to a complete inhibition of vaccine-specific B cell evolution.
Translation, cross-cultural adaptation and psychometric evaluation of the Brazilian version of the Cystic Fibrosis Knowledge Scale (CFKS)

Background Information on the level of knowledge about cystic fibrosis (CF) among affected people and their families is still scarce. Objective This study aimed to translate, cross-culturally adapt and analyze the psychometric properties of the Brazilian version of Cystic Fibrosis Knowledge Scale (CFKS). Materials and methods The translation and cross-cultural adaptation involved the stages of translation, synthesis of translations, reverse translation, synthesis of reverse translations, review by a multi-professional committee of experts and pre-testing. The reliability, viability, construct, predictive, concurrent and discriminant validity were investigated. Results The sample consisted of 40 individuals with cystic CF, 47 individuals with asthma, 242 healthcare workers and 81 students from the health area. The Brazilian version of the CFKS presented high internal consistency (α = 0.91), moderate floor and ceiling effects, without differences in the test-retest scores. An analysis of factorial exploration identified three dimensions. Confirmatory factor analysis led to an acceptable data-model fit. There was good predictive validity, with a difference in the scores among all the evaluated groups (p <0.001), as well as good discriminant validity since individuals with asthma had greater knowledge of asthma compared to CF (r = 0.401, p = 0.005; r2 = 0.162). However, there was no difference between the diagnosis time and knowledge about CF (r = -0.25, p = 0.11; r2 = 0.06), either between treatment adherence and knowledge about CF (r = -0.04, p = 0.77; r2 = 0.002). Conclusion The Brazilian version of the CFKS indicated that the scale is able to provide valid, reliable and reproducible measures for evaluating the knowledge about CF.
Enabling IPv6 at FZU - WLCG Tier2 in Prague

The usage of the new IPv6 protocol in production is becoming reality in the HEP community and the Computing Centre of the Institute of Physics in Prague participates in many IPv6 related activities. Our contribution presents experience with monitoring in HEPiX distributed IPv6 testbed which includes 11 remote sites. We use Nagios to check availability of services and Smokeping for monitoring the network latency. Since it is not always trivial to setup DNS in a dual stack environment properly, we developed a Nagios plugin for checking whether a domain name is resolvable when using only IP protocol version 6 and only version 4. We will also present local area network monitoring and tuning related to IPv6 performance. One of the most important software for a grid site is a batch system for a job execution. We will present our experience with configuring and running Torque batch system in a dual stack environment. We also discuss the steps needed to run VO specific jobs in our IPv6 testbed.
Formal Synthesis of Controllers for Uncertain Linear Systems Against -Regular Properties: A Set-Based Approach

In this article, we present how to synthesize controllers to enforce <inline-formula><tex-math notation="LaTeX">$\omega$</tex-math></inline-formula>-regular properties over linear control systems affected by bounded disturbances. In particular, these controllers are synthesized based on so-called hybrid controlled invariant (HCI) sets. To compute these sets, we first construct a product system between the linear control system and the deterministic Streett automata (DSA) modeling the desired property. Then, we propose a set-based approach, which exploits a new iterative scheme over <italic>hybrid</italic> state sets of the product system, to compute the maximal HCI set. To ensure the termination of the iterative scheme within a finite number of steps, we propose two alternative approaches to compute approximations of the maximal HCI set. Moreover, we show the relations between the (worst-case) complexities of the proposed iterative schemes over hybrid sets and the structure of the DSA modeling <inline-formula><tex-math notation="LaTeX">$\omega$</tex-math></inline-formula>-regular properties. Finally, we demonstrate the effectiveness of our results via two case studies.
Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application

Benefiting from the strong ability of the pre-trained model, the research on Chinese Word Segmentation (CWS) has made great progress in recent years. However, due to massive computation, large and complex models are incapable of empowering their ability for industrial use. On the other hand, for low-resource scenarios, the prevalent decode method, such as Conditional Random Field (CRF), fails to exploit the full information of the training data. This work proposes a fast and accurate CWS framework that incorporates a light-weighted model and an upgraded decode method (PCRF) towards industrially low-resource CWS scenarios. First, we distill a Transformer-based student model as an encoder, which not only accelerates the inference speed but also combines open knowledge and domain-specific knowledge. Second, the perplexity score to evaluate the language model is fused into the CRF module to better identify the word boundaries. Experiments show that our work obtains relatively high performance on multiple datasets with as low as 14\% of time consumption compared with the original BERT-based model. Moreover, under the low-resource setting, we get superior results in comparison with the traditional decoding methods.
RIF1 and KAP1 differentially regulate the choice of inactive versus active X chromosomes

The onset of random X chromosome inactivation in mouse requires the switch from a symmetric to an asymmetric state, where the identities of the future inactive and active X chromosomes are assigned. This process is known as X chromosome choice. Here, we show that RIF1 and KAP1 are two fundamental factors for the definition of this transcriptional asymmetry. We found that at the onset of differentiation of mouse embryonic stem cells (mESCs), biallelic up‐regulation of the long non‐coding RNA Tsix weakens the symmetric association of RIF1 with the Xist promoter. The Xist allele maintaining the association with RIF1 goes on to up‐regulate Xist RNA expression in a RIF1‐dependent manner. Conversely, the promoter that loses RIF1 gains binding of KAP1, and KAP1 is required for the increase in Tsix levels preceding the choice. We propose that the mutual exclusion of Tsix and RIF1, and of RIF1 and KAP1, at the Xist promoters establish a self‐sustaining loop that transforms an initially stochastic event into a stably inherited asymmetric X‐chromosome state.
Identification of Subclinical Microvascular Biomarkers in Coronary Heart Disease in Retinal Imaging

Purpose Cardiovascular disease and foremost coronary heart disease (CHD) are the worldwide leading causes of death. The aim of this study was to use non-invasive, multimodel retinal imaging to define microvascular features in patients with and without coronary angiography (CA)-confirmed CHD. Methods In this prospective, cross-sectional pilot study we included adult patients who presented to a tertiary referral center for elective CA due to suspected CHD. All patients underwent widefield fundus photography for retinopathy grading. Optical coherence tomography angiography was used to measure vessel density (VD) of the individual capillary plexuses in 6 × 6-mm macular volume scans. Adaptive optics imaging was performed to assess the first-order arteriolar lumen diameter (LD), total diameter (TD), wall-to-lumen ratio (WLR), and wall cross-section area, as well as to qualitatively describe vessel morphology. Results Of the included 45 patients (13 females; 65 ± 10 years old), 27 were confirmed with CHD in elective CA. The most prevalent retinal vascular pathologies were arteriovenous nickings, focal arterial narrowings, and microaneurysms. VD in the superficial capillary plexus, deep capillary plexus, and choriocapillaris was lower in CHD patients, although the odds ratios were not significantly different from 1 (P = 0.06–0.92). Median arterial LD, TD, and WLR values were 98.3 µm (interquartile range [IQR] = 13.0), 122.9 µm (IQR = 17.6), and 0.26 µm (IQR = 0.07), respectively, with a trend toward a higher WLR in CHD patients. Conclusions In a cardiovascular risk population, high-resolution quantitative and qualitative microvascular phenotyping in the retina may provide valuable subclinical indicators for coronary artery impairment, although larger clinical trials are needed. Translational Relevance Subclinical retinal microvascular changes may serve as non-invasive, cost-effective biomarkers for risk stratification of patients with CHD.
Effects of nurse‐led home‐based telephone support or home visits on cognitive function

Patients who have undergone carotid revascularization surgery have a high risk of postoperative cognitive decline, and home‐based care is the major form of postoperative management. Here, we aimed to compare the nurse‐led home‐based telephone support (NLHBTS) and home visits as additional postoperative care for patients who have undergone carotid revascularization surgery. The study recruited 172 patients, and 131 patients were randomly assigned to receive combined telephone support and home visits (intervention group) or home visits alone (control group) during the study period of 12 weeks. At baseline, 1 month, and 3 months, cognitive function was assessed using the Trail Making Test, Processing Speed Index, Boston Naming Test, Working Memory Index, Controlled Oral Word Association Test, and Hopkins Verbal Test. Sixty‐five patients in the intervention group and 66 in the control group completed the 1‐month treatment, and 49 in the intervention group and 48 in the control group completed the 3‐month treatment. The intervention group showed significant improvement in four of the six cognitive tests after the 3‐month treatment, whereas the control group only showed significant improvement in the Controlled Oral Word Association Test. Compared to the control group, significantly higher scores were achieved by the intervention group at 3 months in the Trail Making Tests (113 ± 23 vs. 128 ± 18, p = 0.001), Processing Speed Index (115 ± 15 vs. 108 ± 14, p = 0.020), Controlled Oral Word Association Test (51 ± 11 vs. 45 ± 9, p = 0.004), and Hopkins Verbal Learning Test (9.0 ± 1.6 vs. 8.3 ± 1.8, p = 0.046). NLHBTS, in combination with home visits, could facilitate the improvement of cognitive function in patients with carotid artery stenosis after surgery.
Enhanced Geothermal Systems

DOE, through the Geothermal Technologies Office (GTO) within the Office of Energy Efficiency and Renewable Energy, requested this study, identifying a focus on: i) assessment of technologies and approaches for subsurface imaging and characterization so as to be able to validate EGS opportunities, and ii) assessment of approaches toward creating sites for EGS, including science and engineering to enhance permeability and increase the recovery factor. Two days of briefings provided in-depth discussion of a wide range of themes and challenges in EGS, and represented perspectives from industry, government laboratories and university researchers. JASON also contacted colleagues from universities, government labs and industry in further conversations to learn the state of the field and potential technologies relevant to EGS.
Predictive Effect of Well-Known Risk Factors and Foot-Core Training in Lower Limb Running-Related Injuries in Recreational Runners: A Secondary Analysis of a Randomized Controlled Trial

Background: Running carries the risk of several types of running-related injuries (RRIs), especially in the lower limbs. The variety of risk factors and the lack of strong evidence for several of these injury risks hinder the ability to draw assertive conclusions about them, hampering the implementation of effective preventive strategies. Because the etiology of RRIs seems to be multifactorial, the presence of RRI risk factors might influence the outcome of therapeutic strategies in different ways. Thus, further investigations on how risk and protective factors influence the incidence and prevention of RRIs should be conducted. Purpose: To investigate the predictive effect of well-known risk factors and 1 protective factor—foot-core training—on the incidence of lower limb RRIs in recreational runners. Study Design: Cohort study; Level of evidence, 2. Methods: Middle- and long-distance recreational runners (N = 118) were assessed at baseline and randomly allocated to either an intervention group (n = 57) or a control group (n = 61). The intervention group underwent an 8-week (3 times/wk) foot-core training program. Participants were followed for a year after baseline assessment for the occurrence of RRIs. Logistic regression with backward elimination of variables was used to develop a model for prediction of RRI in recreational runners. Candidate predictor variables included age, sex, body mass index, years of running practice, number of races, training volume, training frequency, previous RRI, and the foot-core exercise training. Results: The final logistic regression model included 3 variables. As previously shown, the foot-core exercise program is a protective factor for RRIs (odds ratio, 0.40; 95% CI, 0.15-0.98). In addition, older age (odds ratio, 1.07; 95% CI, 1.00-1.14) and higher training volume (odds ratio, 1.02; 95% CI, 1.00-1.03) were risk factors for RRIs. Conclusion: The foot-core training was identified as a protective effect against lower limb RRI, which can be negatively influenced by older age and higher weekly training volume. The predictive model showed that RRIs should be considered a multivariate entity owing to the interaction among several factors. Registration: NCT02306148 (ClinicalTrials.gov identifier).