Miracle-dz/UniFAR-FTUs huggingface dataset:
STAT3 gain-of-function mutations connect leukemia with autoimmune disease by pathological dysregulation of NKG2Dhi CD8 killer T cells

The association between cancer and autoimmune disease is unexplained, exemplified by T-cell large granular lymphocytic leukemia (T-LGL) where gain-of-function somatic mutations in STAT3 correlate with co-existing autoimmunity. To resolve whether these mutations are the cause or consequence of CD8 clonal expansions and autoimmunity, here we analyse patients with germline STAT3 GOF syndrome and mice with the T-LGL mutation STAT3K658Nor the most common germline mutation, STAT3T716M. STAT3 GOF mutations drove accumulation of effector CD8 T cell clones highly expressing the NKG2D receptor for MHC-I-related molecules expressed on stressed cells, and the genes for inflammatory/cytotoxic granzymes, perforin, interferon-γ and Ccl5/Rantes. CD8 cells were essential to lethal disease in Stat3K658Nmice and their accumulation required NKG2D and the receptor for IL-15 and IL-2, IL2RB. These results demonstrate that STAT3 GOF mutations cause effector CD8 T cell oligoclonal accumulation and that these rogue T cells contribute to autoimmune pathology, supporting the hypothesis that somatic mutations in leukemia/lymphoma driver genes contribute to autoimmune disease. IN BRIEF Leukemia and autoimmune-associated STAT3 gain-of-function mutations dysregulate CD8 T cells to cause autoimmune pathology and oligoclonal expansion of cytotoxic killer CD8 T cells, that depend upon NKG2D and IL2RB receptors for signals displayed on stressed, damaged, infected, or mutated tissues.
GENERATOR OF HIGH-VOLTAGE RECTANGULAR PULSES WITH SUBNANOSECOND RISETIME

This paper presents a new type pulse generator of subnanosecond risetime by using a subnanosecond tube and arranging the charge and discharge circuits coaxially.The set-up has a good anti-interference property and the high-voltage rectangular pulse of amplitude up to 2248V can be obtained with risetime less than 0.8ns and pulse width up to 150ns.
Periampullary Carcinoma in a 13-Year-Old With Microsatellite Instability Treated Successfully With Pancreaticoduodenectomy

Periampullary carcinoma in adolescents is very rare and may be associated with hereditary syndromes. Pancreaticoduodenectomy (PD) in adolescents is rarely performed. The experience and results of pancreaticoduodenectomy in adolescents are not well reported. Here, we report a case of periampullary carcinoma, duodenal origin, signet ring type with microsatellite instability (MSI), in a 13-year-old male for which pancreaticoduodenectomy was successfully done.
Study of fault region locating method for distribution networks with distributed generators

In order to locate the fault region for distribution networks with distributed generators rapidly,accurately and reliably,a new fault locating method based on wavelet transform technique is proposed.First of all,pretreat the fault current signal to distill the regulation at different fault types.Secondly,analyze the singularity of fault current signal using the wavelet transform and compare the singularity of different tier wavelet decomposition coefficient.Then find out the fault features of the coefficient to locate the fault.The simulation results show that this method is simple and able to accurately locate the fault at a high running speed in various fault modes and is free from the influence of the random factors such as fault transition resistance and so on.
Adaptive Strategies for Team Formation in Minimalist Robot Swarms

The formation of collaborative robotic teams for task execution often requires coordination in both space and time, with robots gathering in close vicinity and concurrently executing the task. For decentralised robotic swarms constituted of minimalist agents unable to communicate and plan ahead, a probabilistic approach might ensure that tasks are executed at the maximum possible rate by means of opportunistic team formation. We consider here the case of strictly-collaborative tasks of two typeseasy and hardeach requiring a specific number of agents to concurrently work in the same area. We show how task execution can be improved by adaptive behavioural strategies that (i) change the random movements of robots to bias their distribution towards areas where hard tasks are present, and (ii) specialise the robots behaviour to facilitate the formation of teams tailored to the one or the other task type. Experiments with simulated and real swarms of Kilobotsdemonstrate the suitability of the proposed approach, opening to future applications in micro/nano-robotics.
Land cover classification from very high spatial resolution images via multiscale object-driven CNNs and automatic annotation

Abstract. Very high spatial resolution (VHR) images are accessible for land-cover classification. Because of the complex information and deep features associated with increased spatial resolution, it is difficult to find an effective method for improving the classification accuracy of finer-resolution remote sensing images. We propose a scheme for sample selection and sample autoannotation to establish a new labeled benchmark using vector maps. In addition, a suitable multiscale object-driven convolutional neural networks (multi-OCNNs) were developed for the new benchmark. We trained multi-OCNNs to capture the deep and contextual information contained in samples of the VM-RSI benchmark to predict the land cover categories from target region images with no labels. Furthermore, an object-driven voting strategy applied in multi-OCNNs provides clear boundary information of ground objects and less noise in CNN predictions. Experiments on multisource VHR images, including SPOT-6, Gaofen-2, and ALOS satellite images, show that the proposed approach outperforms other object-based algorithms by achieving good performance results, verifying its feasibility, and effectiveness for land cover classification.
The Effect of Selected Herbal Medicines on Bone Turnover Markers: A Systematic Review and Meta-Analysis

Objective: To evaluate systematically the therapeutic effects of five herbal medicines (curcumin, black seed, ginger, cinnamon, and flaxseed oil) on bone turnover markers as a primary outcome. Materials and methods: A comprehensive systematic search of the literature was conducted in the electronic databases consisting of the Cochrane Library, MEDLINE, Web of Science, Scopus, Embase, ProQuest, and Google scholar, as well as SID, Magiran, and Irandoc for Persian literature up to December 2020. All Randomized controlled trials and quasi-experiments evaluated the impact of studied herbal medicines on bone turnovers of Bone Specific Alkaline Phosphatase (BSAP), osteocalcin, C-terminal Telopeptide type 1 Collagen (CTX-I), Deoxypyridinoline (DPD) were analyzed. Results: Sixteen interventional studies comprised 968 participants included in systematic review. Ten of eligible studies with 603 participants included in meta-analysis. Curcumin, black seed and flaxseed did not have a significant effect on BSAP (SMD=-1.76, 95%CI: -6.85 to 3.33, p=0.50, I2=0.99, 6 trials, 241 participants), CTx (SMD=-0.17ng/mL, 95%CI:-0.43 to 0.09, p=0.21, I2=1.000, 5 trials, 216 participants), DPD (MD=0.82nmol/mmol, 95%CI:-0.05 to 1.68, p=0.06, I2=0.000, 2 trials, 67 participants), osteocalcin (SMD=-2.02ng/mL, 95%CI:-4.49 to 0.45, p=0.11, I2=0.79, Six trials, 229 participants). As secondary outcomes, femoral neck Bone Mineral Density (BMD) increased significantly (p=0.03, I2=0.12) but lumbar spine BMD didn’t differ (p=0.28, I2=0.97). Curcumin significantly increased total hip BMD (p<0.001, I2=0.12). QiangGuYin containing cinnamon as a combined Chinese medicine had significant effect on P1NP, β-CTx, and BMD. Conclusion: Studied herbs except for QiangGuYin had no significant effects on bone turnover markers. Due to high heterogeneity between trials, further high-quality trials are suggested.
Sustainability assessment of concrete structures using the Spanish code ehe-2008: reflections and recommendations

Two of the authors of this paper were part of the team responsible for developing the new Appendix 13 to the Spanish Code for the Design of Concrete Structures (EHE-08). This code includes, for the first time in Spain, an Appendix (Appendix 13) for assessing the level of sustainability of a concrete structure. This has been an international pioneering experience. Appendix 13 uses a set of criteria related to the three columns of sustainability: the environmental, economic and social ones. Sometimes, due to the complexity inherent to construction projects, it is not easy to collect all the entry data needed for applying the Appendix. The objective of this paper is to solve some doubts that can arise when applying the appendix, presenting a computer application developed by the authors for this purpose, and explaining the way of applying the Appendix 13 by means of a case study solved with the new computer application.
An investigation of the airframe-inlet integration flow characteristics

Based on the Reynolds averaged compressible Navier-Stokes equation and realizable k-e turbulence model,the couple numerical simulation of the external and engine inlet flows is carried out.The local flow fields under the leading edge extension are discussed and analyed,the relationships between local flow characteristics and the attack angle are presented.The simulation results agree well with the experimental results.The flow field around the aircraft is changed with the inlet flow coefficient,focused on discussing the vortex breakdown location and mechanism.The lower the inlet flow coefficient,the fronter the breakdown location.The aircraft aerodynamics performance wil be effected by those factors.The reult may be available to further researches.
PEDESTRIAN ACCIDENT CHARACTERISTICS IN A ONE-WAY GRID

THE UNIQUE TRAFFIC CONFIGURATIONS OF ONE-WAY GRID SYSTEMS PROVIDE OPPORTUNITIES TO STATISTICALLY ISOLATE AND EVALUATE SEVERAL ASPECTS OF PEDESTRIAN ACCIDENT EXPERIENCE. ONE-WAY INTERSECTIONS HAVE TWO CONFLICT SIDES WHERE THE PEDESTRIAN MUST SHARE THE GREEN WITH TURNING VEHICLES AND TWO NONCONFLICT SIDES WHERE THE PEDESTRIAN HAS AN EXCLUSIVE GREEN CROSSING PHASE. ALSO, LEFT- AND RIGHT-TURN MOVEMENTS REPRESENT A DIRECT VEHICLE-TO-PEDESTRIAN CONFRONTATION, INDEPENDENT OF OTHER VEHICULAR DISTRACTIONS. A LIMITED INVESTIGATION OF 5 YEARS OF PEDESTRIAN ACCIDENT REPORTS FOR 32 CONTIGUOUS ONE-WAY INTERSECTIONS IN NEW YORK CITY SHOWS THAT OF 172 REPORTED INTERSECTION ACCIDENTS, 69.7 PERCENT OCCURRED ON THE CONFLICT SIDE, WHERE PEDESTRIANS AND VEHICLES COMPETE FOR TRAFFIC PRIORITY. RESULTS OF THE STUDY SHOW THAT EXCLUSIVE PEDESTRIAN CROSSWALKS INDEPENDENT OF CONFLICTS FROM TURNING VEHICLES HAVE A LOWER PEDESTIRAN ACCIDENT EXPERIENCE, JUSTIFYING INCREASED INSTITUTION OF TURNING RESTRICTIONS FOR PEDESTRIAN SAFETY; THAT BACKING INTO CROSSWALKS SHOULD BE DISCOURAGED THROUGH GEOMETRIC DESIGN AND STRICTER LAW ENFORCEMENT; AND THAT MORE DETAILED RESEARCH IS REQUIRED TO DETERMINE THE HUMAN DYNAMICS INVOLVED IN TURNING A VEHICLE, PARTICULARLY THE EFFECTS THAT THE VISUAL IMPAIRMENT BY THE LEFT FRONT ROOF SUPPORT HAS ON THE DRIVER'S JUDMENT OF PEDESTRIAN MOVEMENT AND POSITION.
SAR Image Classification: A Comprehensive Study and Analysis

Deep learning has obtained wide attention in various fields enabling systems to derive essential information from digital inputs. Lately, the use of deep learning in remote sensing applications has also been motivated and applied, wherein considerable improvements in the results are witnessed. Synthetic aperture radar images have been used in various earth observation systems because of their all-day imaging capacity and self-illuminating nature. Various works concentrating on extracting meaningful information from SAR data for various other applications have been proposed in the literature. Classification of SAR images has been one of the utmost steps in numerous SAR applications. Therefore, this work focuses on studying several existing techniques that use deep learning for SAR image classification by examining the architectures involved. Based on the study, crucial observations are made, highlighting the merits and demerits of several approaches, allowing researchers to better understand how the methods can impact the performance of the deep learning models for SAR image classification in the future. Potential hybrid models for the classification of SAR images are also presented in this paper.
Property or Privacy? Reconfiguring Ethical Concerns Around Web Archival Research Methods

People are constantly leaving digital traces of themselves online. These digital traces can be captured and archived to study the evolution of web culture, and changing structure of web objects. As archivists have been practices for digital culture preservation, and scholars build methods for web archival research, they consider the ethical implications of their work. Recently the focus on ethical concerns regarding web archiving has shifted from focusing on property to focusing on privacy. Discourse tracing is used to analyze this focus as is changes over time. This analysis shows how archival researchers and archivists move across and between each other’s fields, appropriate, and play with methods, and ultimately construct somewhat limiting frames for understanding archival research ethics.
Better Ask Your Neighbor: Renegotiating Media Trust During the Russian–Ukrainian Conflict

During violent conflict, the evaluation of information sources often presents a complex challenge. Social interactions play a critical role for mediating audiences’ trust as they negotiate contested information spreading across the media and social networks. This study uses focus groups and individual interviews, conducted in the propaganda-saturated environment of the Russian–Ukrainian conflict, to investigate how audiences develop and negotiate practices for assigning trust to the mediated and social sources. It identifies three verification practices, each based on a different notion of pragmatic trust: Reliance on ideologically close sources; skepticism toward individual sources while trusting media as institution; or institutional distrust and cynical disillusionment. Each practice is embedded in participants’ social environment, which both supplies information and helps negotiating appropriate verification practices. The article concludes by discussing implications for studies of media trust and socially shaped understanding of the media.
Motivated formal reasoning: Ideological belief bias in syllogistic reasoning across diverse political issues

Abstract This study investigated ideological belief bias, and whether this effect is moderated by analytical thinking. A Swedish nationally representative sample (N = 1005) evaluated non-political and political syllogisms and were asked whether the conclusions followed logically from the premises. The correct response in the political syllogisms was aligned with either leftist or rightist political ideology. Political orientation predicted response accuracy for political but not non-political syllogisms. Overall, the participants correctly evaluated more syllogisms when the correct response was congruent with their ideology, particularly on hot-button issues (asylum to refugees, climate change, gender-neutral education, and school marketization). Analytical thinking predicted higher accuracy for syllogisms of any kind among leftists, but it predicted accuracy only for leftist and non-political syllogisms among rightists. This research contributes by refining a promising paradigm for studying politically motivated reasoning, demonstrating ideological belief bias outside of the United States across diverse political issues, and providing the first evidence that analytical thinking may reduce such bias.
Antagonistic Effects of Different Soil Isolate Bio-agents against Fusarium oxysporum f. sp. Cubense TR4 In vitro and Molecular Characterizations

Bananas are the earliest fruit crop cultivated by humans from ancient times in India and have great social-economic importance, merged with the country's cultural heritage. Different bio-agents were isolated from the rhizosphere of wilt affected banana plants cultivar Grand naine on Fusarium oxysporum f. sp. cubense TR4 areas of Bihar. All isolated bio-agents were tested against FOC TR4 in vitro condition by dual culture technique. The maximum inhibition over control at 10 days of inoculation was recorded in Trichoderma asperellum 1(Tr1) (64.82%), followed by Trichoderma asperellum 2(Tr2) (62.70%), Aspergillus flavus (35.00%) and minimum in Penicillium chrysogenum (22.62%). The result clearly showed that in vitro Trichoderma asperellum 1 was highly effective while Penicillium chrysogenum was found least effective antagonistic against Fusarium oxysporum f. sp. cubense TR4 in vitro. Molecular characterizations of two morphologically different Trichoderma spp. were identified as two different strains of Trichoderma asperellum 1 and Trichoderma asperellum 2.
Monitoring and characteristics study of stress evolution of surrounding rock during deep tunnel excavation

The damage caused by TBM excavation is slighter than that by drilling and blasting method. The hollow inclusion stress gauge near the excavation profile cannot be easily damaged. So the hollow inclusion stress gauge can be embedded in designed position of surrounding rock in advance to monitor the stress evolution during TBM driving. Firstly, in order to analyze the tunnel face effect and crack initiation strength of surrounding rock, and confirm the ranges of relaxation zone and damage zone, the stress redistribution after tunnel excavation is calculated by numerical method. Due to the above research results, the embedded position and monitoring start time are both ensured. Secondly, the hollow inclusion stress gauges are installed by drilling from test tunnel to TBM driving tunnel and embedded in relaxation zone and damage zone of the tunnel separately; and the entire process of stress from start changing to be stable is also monitored. The monitoring results affirm the existence of tunnel face effect and show that the stress begins to vary from the one time of tunnel diameter of anterior tunnel face. The region of half of tunnel diameter of posterior tunnel face is the most violent stress redistribution area. The damage zone scope is analyzed through crack propagation sensitivity by hollow inclusion stress gauge. The crack initiation strength of surrounding rock is verified by the monitoring results which well meet the numerical calculation results. The research results can provide references for confirming damage zone scope and crack initiation strength of rock mass. The results can also provide scientific basis for supporting design and selection of supporting time.
Initial growth, nutrition, and quality of Senegalia polyphylla plants inoculated with arbuscular mycorrhizal fungi under phosphate fertilization

Abstract Knowing the nutritional needs of these plants, the interactions that favor their growth and survival in the field, such as inoculation with arbuscular mycorrhizal fungi (AMF), are essential to subsidize tropical forestry. The present study aimed to evaluate the effect of applying phosphorus (P) and inoculation with AMF on growth, biomass production, quality, and nutrition in seedlings of Senegalia polyphylla. The experiment was carried out in a completely randomized design, in a 5 x 3 factorial scheme, with five doses of P (0, 50, 100, 200, and 400 mg kg−1), and three microbiological treatments (inoculated with Rhizophagus claru, Gigaspora margarita, and control without inoculation). At 120 days after transplanting (DAT), there were evaluated the rate of root mycorrhizal colonization (MC), plant shoot height (H), stem diameter (D), N and P content in the shoot of the plants (NC and PC, respectively), dry matter mass of shoot, roots, and total (DMS, DMR, and DMT, respectively). Those variables allowed the calculation of Dickson’s Quality Index (DQI) and mycorrhizal dependence (MD). Phosphate fertilization influenced all evaluated characteristics of S. polyphylla (p < 0.01), while inoculation with AMF alone influenced only DMS, DMT, DQI, and PC. Plants inoculated with R. clarum and G. margarita showed MC ranging from 12.5 to 55%. At the dose of 0 mg kg−1 of P, seedlings of S. polyphylla showed high MD. The inoculation with AMF and the application of P are indicated to obtain seedlings of S. polyphylla.
Point Cloud Based Bin Picking: Object Recognition and Pose Estimation Using Region Growing Segmentation Algorithm

Presented paper describes experimental bin picking using Kinect sensor, region-growing algorithm, latest ROS-Industrial drivers and dual arm manipulator Motoman SDA10f.As well known if manipulation with objects of regular shapes by suction cup is required, it is sufficient to estimate only 5DoF for successful pick. In such a case simpler region growing algorithm may be used instead of complicated 3D object recognition and pose estimation techniques, resulting in shorter processing time and decrease of computational load. Experimental setup for such a scenario, manipulated objects and results using region growing segmentation algorithm are explained in detail. Video and link to open-source code of described application are provided as well.
An efficient learning framework for multiproduct inventory systems with customer choices

We consider a periodic‐review multiproduct inventory system where customers' purchasing decisions are affected by the product availabilities. Demands need to be learned on the fly, through the partial and censored feedback of customers. For this learning problem, if one ignores the inventory dynamic and treats it as a multiarmed bandit problem and directly applies some existing algorithms, for example, the upper confidence bound (UCB) algorithm, the convergence can be extremely slow due to the high‐dimensionality of the policy space. We propose a UCB‐based learning framework that utilizes the sales information based on two improvement ideas. We illustrate how these two ideas can be incorporated by considering two specific systems: (1) multiproduct inventory system with stock‐out substitutions, (2) multiproduct inventory assortment problem for urban warehouses. We develop improved UCB algorithms for both systems, using the two improvements. For both systems, the algorithm can achieve a tight worst‐case convergence rate (up to a logarithmic term) on the planning horizon T $T$ . Extensive numerical experiments are conducted to demonstrate the efficiency of the improved UCB algorithms for the two systems. In the experiments, when there are more than 1000 candidate policies to choose from, the algorithms can achieve around 15 % $15\%$ average expected regret within 50 periods and continue to steadily improve as time increases.
A New Method for Increasing Output Power of a Three-Cavity Transit-Time Oscillator

We propose a new method to increase the output power of a three-cavity transit-time oscillator (TC-TTO). Conventional transit-time effect oscillators, such as the split-cavity oscillator (SCO), super-Reltron, and TC-TTO (or double-foil SCO), etc., have a common feature that the span of any modulating cavity is uniform. The new method is to vary the three-cavity spans from uniform to nonuniform. Its configuration is called the nonuniform three-cavity transit-time oscillator (NTC-TTO). Numerical simulations show that the electron-beam is modulated more deeply in certain NTC-TTOs than that in the TC-TTO with the same whole modulating length, and the output microwave power in certain NTC-TTOs is higher than that in the TC-TTO. The experimental results are in agreement with those of the numerical simulations. The results show that the new method can increase the output power of a microwave tube based on the TC-TTO.