Miracle-dz/UniFAR-FTUs huggingface dataset:
TRIGGER: A Lightweight Universal Jamming Gripper for Aerial Grasping

This work introduces TRIGGER, the first lighTweight univeRsal jammInG Gripper for aErial gRasping. TRIGGER is an omnidirectional, landing-capable aerial grasping system with resilience and robustness to collisions and inherent passive compliance. In particular, this work presents the design, fabrication, and experimental validation of a novel, intelligent, modular, universal jamming gripper specifically designed for aerial applications. Leveraging recent developments in particle jamming and soft granular materials, TRIGGER generates 15 N of holding force with only a relatively small activation force of 2.5 N. Experiments show the relationship between fill ratio and activation force and reveal that adding an additive to the membrane’s silicone mixture improves the holding force by up to 52 %. Based on the experimental data, a simulation model for robotic simulators is introduced to facilitate future controller developments. To showcase the concept, TRIGGER is attached to a multicopter platform, performing a pick-and-place task under laboratory conditions. The aerial experiments are concluded by grasping a variety of shapes demonstrating the universal grasping capability.
Rearrangement of twin variants in ferromagnetic shape memory alloy–polyurethane composites studied by stroboscopic neutron diffraction

The use of ferromagnetic shape memory alloy (FSMA) particles as fillers in polymeric matrix composites has been proposed for vibration damping. The large pseudo-plastic recoverable deformation of the FSMA particles due to the rearrangement of twin variants can dissipate a large amount of energy, both under compression and tension. The composites studied are made by mixing particles of NiMnGa with a polyurethane matrix. A magnetic field is applied to the composite while the matrix sets, to achieve a strong [112] texture in the field direction. In situ strobed neutron diffraction measurements were carried out while the composites were subjected to a cyclic deformation. They show that the intensity of certain peaks varies during the deformation cycle. All the peaks that show this behavior can be grouped into pairs that stem from a single austenitic peak. The (020) and (112) martensite peaks correspond to the splitting of the (220) austenite peak, and the intensity of one increases as that of the other decreases. The neutron measurements show directly that there is a change in the texture of the composite during the stress cycle applied to the composite and confirm that the large mechanical loss observed in the stress–strain cycles is in good part due to the rearrangement of twin variants in the FSMA filler used in the composites.
Identifying two pathogenic variants in a patient with pigmented paravenous retinochoroidal atrophy

Abstract Little is known about the genetic background of pigmented paravenous retinochoroidal atrophy (PPRCA) due to rarity of patients. In this study, we identified two pathogenic variants in RPGRIP1 in a 2-year-old boy with PPRCA screened by whole-exome sequencing (WES). The patient presented to our department with photophobia for 17 months, and then he underwent fundus photography and fluorescein fundus angiography. Genomic DNA was extracted from peripheral blood of the proband and the parents. Trio-WES strategy was utilized to identify the causal variants from the proband and the parents, followed by validation based on Sanger sequencing. The patient was finally diagnosed with PPRCA after differential diagnosis. Two heterozygous pathogenic variants were detected by WES according to the American college of medical genetics and genomics guidelines, including NM_020366. 4: c.2592T > G: p.Y864* and NM_020366. 4: c.154C > T: p.R52* in RPGRIP1 located in exon 17 and exon 3, leading to termination codon, respectively. This is the first study reporting pathogenic variants within RPGRIP1 as causal for PPRCA.
Informing decision makers about public preferences for different modalities of cancer treatment in the Rhône–Alps region in France

Abstract Background Alternative options to hospital care like home care or local health centers (LHCs) are being advocated. However, no study has measured citizens’ preferences (who will finance these services via taxation) for these options. Objectives We measured (i) citizens’ preferences for these services, that is, respondents stated where they would like to get the treatment; (ii) the strength of their preference. Methods A computerized survey composed of (i) a decision aid to inform respondents about the three options; (ii) three scenarios, from light-to-heavy care, that respondents should rank from the most to the least preferred option of care. (iii) a contingent valuation survey (CVS) to assess how much respondents were willing to pay for their preferred option (except for hospital care if chosen, because it is the default option and free). (iv) a socio-demographic questionnaire. Results Data were collected from a representative sample of citizens living in the Rhône–Alps Region (n = 800). The heavier the care was, the more respondents preferred hospital care. Willingness to pay for additional taxation per household/month varied from €13.9 for light care in LHC to €19.1 for heavy home care. The small number of protesting respondents and outliers, and the close correlation between preferences, income, and WTP supports the validity of the CVS. Conclusion In France, for cancer, not all citizens would prefer to be treated at home rather than in a hospital. Only less than a quarter would prefer LHC. These results show the mismatch between public health policies and the citizens’ preferences.
DL4DS—Deep learning for empirical downscaling

Abstract A common task in Earth Sciences is to infer climate information at local and regional scales from global climate models. Dynamical downscaling requires running expensive numerical models at high resolution, which can be prohibitive due to long model runtimes. On the other hand, statistical downscaling techniques present an alternative approach for learning links between the large- and local-scale climate in a more efficient way. A large number of deep neural network-based approaches for statistical downscaling have been proposed in recent years, mostly based on convolutional architectures developed for computer vision and super-resolution tasks. This paper presents deep learning for empirical downscaling (DL4DS), a python library that implements a wide variety of state-of-the-art and novel algorithms for downscaling gridded Earth Science data with deep neural networks. DL4DS has been designed with the goal of providing a general framework for training convolutional neural networks with configurable architectures and learning strategies to facilitate the conduction of comparative and ablation studies in a robust way. We showcase the capabilities of DL4DS on air quality Copernicus Atmosphere Monitoring Service (CAMS) data over the western Mediterranean area. The DL4DS library can be found in this repository: https://github.com/carlos-gg/dl4ds
Impulsive impact of a body fully submerged in an open container

Abstract An impulsively starting motion of a cylindrical body submerged below a calm water surface in an open container of arbitrary shape is considered. This work generalizes the case of an infinite-depth liquid studied by Semenov et al. (J. Fluid Mech., vol. 919, 2021, R4). Particular attention is paid to the interaction between the body, the free surface and the container. The integral hodograph method is employed to derive the complex velocity potential in a parameter plane. The boundary-value problem is reduced to a system of integral equations, which is solved numerically. The velocity field, the pressure impulse on the body and the container wall and the added mass just after the impact are determined for a wide range of depths of submergence and container geometries and for various cross-sectional shapes of the body, such as a flat plate, a circle and a rectangle.
Analysis of functional status transitions by using a semi‐Markov process model in the presence of left‐censored spells

Summary. To analyse functional status transitions in the older population better, we fit a semi‐Markov process model to data from the 1992–2002 Medicare Current Beneficiary Survey. We used an analogue of the stochastic EM algorithm to address the problem of left censoring of spells in longitudinal data. The iterative algorithm converged robustly under various initial values for the unobserved elapsed durations of spells in progress at base‐line. Results on life expectancy and recovery from functional limitations based on the semi‐Markov process model differ from those based on the traditional multistate life‐table method. The proposed treatment of left‐censored spells has the potential to expand the modelling capability that is available to researchers in fields where left censoring is a concern.
Soil mechanical composition and soil nutrient content of Reaumuria soongorica nebkhas

: Understanding the effects of desert shrubs on the soil structure and nutrient spatial heterogeneity of nebkhas is important for maintaining the stability of desert ecosystems and preventing regional desertification. In this study, soil grain-size composition and soil nutrient accumulation of Reaumuria soongorica in the steppe desert transition zone of Baiyinengel Nature Reserve, Hangjin Banner, Ordos City, were analyzed. (1) The soil was mainly fine sand (content ranging from 36.34 % to 65.31 % ); the clay and silt content was less than 7.00 % . (2) Reaumuria soongorica protects nebkhas from wind erosion and also plays a role in fixing quicksand. The sediment of nebkhas tended to be refined, and particle sorting became successively worse from the leeward side to the windward side and the open space between nebkhas. The particle distribution peak became wider and flatter, and the fractal dimension became smaller. The distribution of soil particle size composition in the shrub nebkha was more symmetrical than that in the open space between the mounds. (3) The soil organic matter (SOM), alkaline hydrolyzed nitrogen (AN), available phosphorus (AP), and available potassium (AK) contents on the windward and leeward sides of the nebkha increased by 29.37 % and 40.63 % , 23.49 % and 35.12 % , 62.72 % and 66.45 % , 30.10 % and 22.75 % ( P <0.05), respectively, and RII (Relative Interaction Intense) > 0. Under the influence of wind erosion and plant feedback, nutrients were enriched in nebkhas, forming “ fertile islands. ”
The convexity of a general performance measure for multiserver queues

This paper examines a general performance measure for queueing systems. This criterion reflects both the mean and the variance of sojourn times; the standard deviation is a special case. The measure plays a key role in certain production models, and it should be useful in a variety of other applications. We focus here on convexity properties of an approximation of the measure for the M/G/c queue. For c ≧ 2 we show that this quantity is convex in the arrival rate. Assuming the service rate acts as a scale factor in the service-time distribution, the measure is convex in the service rate also.
Method of inverted index compression

: Efficient access to the inverted index is a key aspect for a search engine to achieve fast response times to users’ queries. While compression of its posting lists is one of the most important methods to improve the performance of search engine. Segmentation method optimized by ABC algorithm in ASCS algorithm was proposed for the problem of ASCS algorithm that it adopts uniform segmentation instead of optimal segmentation; The ASCS algorithm only considers an influencing factor and ignores the influence of other factors ; The ratio of compressing long sequence of uneven distribution is unsatisfactory with ASCS algorithm, it was adopted that process integer sequence with sorting and differential encoding before ASCS algorithm. Simulation experiments show that the improved algorithm has significantly increased compression ratio of inverted index file comparing with ASCS algorithm.
DESIGN ANALYSIS OF EARTH-LUNAR TRAJECTORIES- LAUNCH AND TRANSFER CHARACTERISTICS

Leitmann, G. , "Note on 'Establishment of a circular satellite orbit by double impulse,'" J. Brit. Interplanet. Soc. 17, 358-359 (1960). Mantscher, H. N. , Olson, D. and Saari, A. E. , "Minimum energy analysis for the general problem of rendezvous in earth orbital space," ARS J. 32,292-294(1962). 5 Moult on, F. R. , Celestial Mechanics (Macmillan Co., New York, 1914). 6 Barnes, S. W. , "Elliptical trajectories," General Electric TIS Ser. R57EMH31, General Electric Co., Electronics Div. , Syracuse, N. Y. (June 1957).
The many hats of transmembrane emp24 domain protein TMED9 in secretory pathway homeostasis

The secretory pathway is an intracellular highway for the vesicular transport of newly synthesized proteins that spans the endoplasmic reticulum (ER), Golgi, lysosomes and the cell surface. A variety of cargo receptors, chaperones, and quality control proteins maintain the smooth flow of cargo along this route. Among these is vesicular transport protein TMED9, which belongs to the p24/transmembrane emp24 domain (TMED) family of proteins, and is expressed across vertebrate species. The TMED family is comprised of structurally-related type I transmembrane proteins with a luminal N-terminal Golgi-dynamics domain, a luminal coiled-coil domain, a transmembrane domain and a short cytosolic C-terminal tail that binds COPI and COPII coat proteins. TMED9, like other members of the TMED family, was first identified as an abundant constituent of the COPI and COPII coated vesicles that mediate traffic between the ER and the Golgi. TMED9 is typically purified in hetero-oligomers together with TMED family members, suggesting that it may function as part of a complex. Recently, TMED family members have been discovered to play various roles in secretory pathway homeostasis including secreted protein processing, quality control and degradation of misfolded proteins, and post-Golgi trafficking. In particular, TMED9 has been implicated in autophagy, lysosomal sorting, viral replication and cancer, which we will discuss in this Mini-Review.
Invasive and non-invasive electrodes for successful drug and gene delivery in electroporation-based treatments

Electroporation is an effective physical method for irreversible or reversible permeabilization of plasma membranes of biological cells and is typically used for tissue ablation or targeted drug/DNA delivery into living cells. In the context of cancer treatment, full recovery from an electroporation-based procedure is frequently dependent on the spatial distribution/homogeneity of the electric field in the tissue; therefore, the structure of electrodes/applicators plays an important role. This review focuses on the analysis of electrodes and in silico models used for electroporation in cancer treatment and gene therapy. We have reviewed various invasive and non-invasive electrodes; analyzed the spatial electric field distribution using finite element method analysis; evaluated parametric compatibility, and the pros and cons of application; and summarized options for improvement. Additionally, this review highlights the importance of tissue bioimpedance for accurate treatment planning using numerical modeling and the effects of pulse frequency on tissue conductivity and relative permittivity values.
Strong aftershocks traffic light system: A case study of the 8 January 2022 M S6.9 Menyuan earthquake, Qinghai Province, China

Strong aftershocks, especially the disaster-causing M≥5.0 kind, are a key concern for mitigation of seismic risks because they often lead to superimposed earthquake damage. However, the real-time forecasting results of the traditional probability prediction models based on statistics are usually far from accurate and therefore unsatisfactory. Borrowing an idea from the foreshock traffic light system (FTLS), which is based on observations of decreasing b-values or increasing differential stress just before a strong aftershock, we constructed a strong aftershock traffic light system (SATLS) that uses data-driven technology to improve the reliability of time sequence b-value calculations, and analyzed the b-value variations of strong aftershocks in the China continent. We applied this system to the M S6.9 Menyuan earthquake occurred on 8 January 2022. The earthquake occurrence rates before the largest aftershock (M S5.2) forecast by the Omi-R-J model were too low, although the model could accurately forecast aftershock rates for each magnitude interval in most time-periods. However, reliable b-values can be calculated using the time-sequence b-value data-driven (TbDD) method, and the results showed that the b-values continued declining from 1.3 days before the M S5.2 aftershock and gradually recovered afterward. This would suggest that the stress evolution in the focal area can provide data for deciding when to post risk alerts of strong aftershocks. In the process of building the SATLS, we studied thirty-four M≥6.0 intraplate earthquake sequences in the China continent and concluded that the differences between the b-values of the aftershock sequences and of the background events, △b = b after - b bg = ±0.1, could be used as thresholds to determine whether M≥5.0 aftershocks would occur. The △b value obtained using the events before the M S5.2 aftershock of the M S6.9 Menyuan sequence was about -0.04, which would have caused the SATLS to declare a yellow alert, but there would have been some gap expected before a red alert was triggered by the b-value difference derived from the events associated with this strong aftershock. To accurately forecast a strong aftershock of M≥5.0, a deeper understanding of the true b-value and a detailed description of the stress evolution state in the source area is necessary.
Phase-step insensitive algorithms for phase-shifting interferometry

Two novel phase extraction algorithms, in which step sizes need not be known or equal, are described. One algorithm requires a minimum of five interferograms from which intensity offset and intensity modulation are calculated at each pixel and the relative phase is calculated for all pixels with respect to a reference pixel. The other algorithm requires two phase stepping mechanisms and a minimum of ten interferograms. The intensity characteristics and reference phase step are calculated at each pixel and a previously published algorithm is used for the final phase calculation.
Oxygen-vacancy-induced 90° -domain clamping in ferroelectric Bi 4 Ti 3 O 12 single crystals

We have investigated domain clamping in ferroelectric single crystals of ${\text{Bi}}_{4}{\text{Ti}}_{3}{\text{O}}_{12}$ (BiT) and $({\text{Bi}}_{3.6}{\text{La}}_{0.4}){\text{Ti}}_{3}{\text{O}}_{12}$ (BLT) using polarization measurements along the $a(b)$ axis and piezoresponse force microscopy (PFM). PFM observations reveal that $90\ifmmode^\circ\else\textdegree\fi{}$ domains are clamped during polarization switching. The crystals of BiT with less oxygen vacancies and BLT exhibited a low volume fraction of the clamped $90\ifmmode^\circ\else\textdegree\fi{}$ domains. Polarization measurements demonstrate that the clamping of $90\ifmmode^\circ\else\textdegree\fi{}$ domains decreases the remanent polarization in BiT crystals. These experimental results and ab initio calculations show that an attractive interaction between $90\ifmmode^\circ\else\textdegree\fi{}$-domain walls and oxygen vacancies is the main origin of the clamping of $90\ifmmode^\circ\else\textdegree\fi{}$ domains.
Efficacy of nucleos(t)ide analogues(NAs) in preventing virus reactivation in oncology patients with HBV infection after chemotherapy or surgery: A network meta-analysis

Objective In this study, we aimed to perform a network meta-analysis to compare the effectiveness of NAs in decreasing the reactivation of HBV, reducing chemotherapy disruption, and improving survival in oncology patients. Methods Relevant randomized controlled trials (RCT) evaluating the impact of NAs in HBV infected-related oncology patients were retrieved from electronic databases. The outcome indicators included reactivation rate, survival rate of 1 to 3 years after treatment, and chemotherapy disruption rate. The studies were evaluated for bias using the RCT risk of bias assessment tool recommended in the Cochrane Handbook. The risk ratio (RR) was used to compare the outcome indicators for the anti-viral treatment, and the surface under the cumulative ranking curves (SUCRA) was used to identify the optimal therapeutic regime. Results A total of 67 trials containing 5722 patients were included in this study. Regarding the reduction of reactivation rate, entecavir, lamivudine, adefovir alone were less effective than the combination of lamivudine and entecavir (94.9%), with RR values ranging from 3.16 to 3.73. However, based on SUCRA, the efficacy of telbivudine (80.3%) and the combination of lamivudine and adefovir dipivoxil (58.8%) were also acceptable. Entecavir (RR values ranging from 1.25 to 1.50) and lamivudine (RR values ranging from 1.27 to 1.35) can prolong the survival rate of patients at 1-3 years, and were better than adefovir dipivoxil in the comparison of 1-year survival rate. The RR values were 1.18 and 1.19, respectively. And entecavir ‘s ranking in SUCRA was more stable. Entecavir, lamivudine, and tenofovir all reduced chemotherapy interruption rates compared with no antiviral therapy, especially for tenofovir. Conclusions Current evidence shows that lamivudine combined with entecavir, telbivudine, and lamivudine combined with adefovir dipivoxil were the most effective in preventing virus reactivation in HBV infected-related cancer patients treated with chemotherapy. Entecavir had the most stable effect on survival, while tenofovir had the best impact on reducing the chemotherapy disruption rate. Due to limited quality and quantity of the included studies, more high-quality studies are required to verify the above conclusions. Systematic review registration PROSPEROI [https://www.crd. york.ac. uk/PROSPERO/index.php], identifier CRD4202250685.
Genetic characterization and virulence determinants of multidrug-resistant NDM-1-producing Aeromonas caviae

The emergence of carbapenemase significantly threatens public health. It is prevalent worldwide but rare in Aeromonas caviae. Unlike most bacterial species, A. caviae has two distinct flagella systems, which are closely related to biofilm formation. The ability to form biofilms on host tissues or inert surfaces constitutes an important cause of many persistent infections, which causes difficulties in clinical treatment. Here, we report on a multidrug-resistant (MDR) A. caviae carrying blaNDM–1 with a novel sequence type 1,416. The strong ability of biofilm formation of FAHZZU2447 was verified by a crystal violet assay. The resistome profile and location of the blaNDM–1 gene were determined by antimicrobial susceptibility testing, S1 nuclease pulsed-field gel electrophoresis (S1-PFGE), and Southern blot analysis. Moreover, the strain underwent whole-genome sequencing to identify its genomic characteristics. In addition, the blaNDM–1 gene was located on a ∼243 kb plasmid with genetic context IS1R-blaNDM–1-ble-trpF-dsbD-hp-sul1-qacE. Phylogenetic analysis indicated the transmission of A. caviae in China, Japan, and Thailand. Our study aimed to elucidate the genomic features of blaNDM–1-producing A. caviae, thereby clarifying the distribution of A. caviae worldwide and emphasizing the harmfulness of biofilm formation to the clinic. Further comprehensive surveillance of this species is needed to control further dissemination.