Miracle-dz/UniFAR-FTUs huggingface dataset:
Current Perspectives on “Off-The-Shelf” Allogeneic NK and CAR-NK Cell Therapies

Natural killer cells (NK cells) are the first line of the innate immune defense system, primarily located in peripheral circulation and lymphoid tissues. They kill virally infected and malignant cells through a balancing play of inhibitory and stimulatory receptors. In pre-clinical investigational studies, NK cells show promising anti-tumor effects and are used in adoptive transfer of activated and expanded cells, ex-vivo. NK cells express co-stimulatory molecules that are attractive targets for the immunotherapy of cancers. Recent clinical trials are investigating the use of CAR-NK for different cancers to determine the efficiency. Herein, we review NK cell therapy approaches (NK cell preparation from tissue sources, ways of expansion ex-vivo for “off-the-shelf” allogeneic cell-doses for therapies, and how different vector delivery systems are used to engineer NK cells with CARs) for cancer immunotherapy.
Examining Sex Differences in Conditioned Place Preference or Aversion to Methamphetamine in Adolescent and Adult Mice

Adolescence marks a particularly vulnerable period to developing substance use disorders. Human and rodent studies suggest that hypersensitivity to reward may contribute towards such vulnerability when adolescents are exposed to casual drug use. Methamphetamine is a popular illicit substance used by male and female youths. However, age- and sex-specific research in methamphetamine is scarce. The present study therefore aimed to examine potential sex differences in methamphetamine-conditioned place preference in adolescent and adult mice. Mice (n = 16–24/group) were conditioned to methamphetamine (0.1 mg/kg). We observed that regardless of age, females were more hyperactive compared to males. Individually normalized score against baseline preference indicated that on average, adolescents formed stronger preference compared to adults in both sexes. This suggests that adolescents are more sensitive to the rewarding effects of methamphetamine compared to adults. Surprisingly, individual data showed that some mice formed a conditioned place aversion instead of preference, with females less likely to form an aversion compared to males. These results suggest that adolescents may be hypersensitive to methamphetamine’s rewarding effects. In addition, female resistance to the aversive effects of methamphetamine may relate to the sex-specific findings in humans, including quicker transition to regular methamphetamine use observed in females compared to males.
Extracranial 125I Seed Implantation Allows Non-invasive Stereotactic Radioablation of Hippocampal Adult Neurogenesis in Guinea Pigs

Adult hippocampal neurogenesis (AHN) is important for multiple cognitive functions. We sort to establish a minimal or non-invasive radiation approach to ablate AHN using guinea pigs as an animal model. 125I seeds with different radiation dosages (1.0, 0.8, 0.6, 0.3 mCi) were implanted unilaterally between the scalp and skull above the temporal lobe for 30 and 60 days, with the radiation effect on proliferating cells, immature neurons, and mature neurons in the hippocampal formation determined by assessment of immunolabeled (+) cells for Ki67, doublecortin (DCX), and neuron-specific nuclear antigen (NeuN), as well as Nissl stain cells. Spatially, the ablation effect of radiation occurred across the entire rostrocaudal and largely the dorsoventral dimensions of the hippocampus, evidenced by a loss of DCX+ cells in the subgranular zone (SGZ) of dentate gyrus (DG) in the ipsilateral relative to contralateral hemispheres in reference to the 125I seed implant. Quantitatively, Ki67+ and DCX+ cells at the SGZ in the dorsal hippocampus were reduced in all dosage groups at the two surviving time points, more significant in the ipsilateral than contralateral sides, relative to sham controls. NeuN+ neurons and Nissl-stained cells were reduced in the granule cell layer of DG and the stratum pyramidale of CA1 in the groups with 0.6-mCi radiation for 60 days and 1.0 mCi for 30 and 60 days. Minimal cranial trauma was observed in the groups with 0.3– 1.0-mCi radiation at 60 days. These results suggest that extracranial radiation with 125I seed implantation can be used to deplete HAN in a radioactivity-, duration-, and space-controllable manner, with a “non-invasive” stereotactic ablation achievable by using 125I seeds with relatively low radioactivity dosages.
Attenuated Negative Feedback in Monocyte-Derived Macrophages From Persons Living With HIV: A Role for IKAROS

Persons living with HIV (PLWH) are at higher risk of developing secondary illnesses than their uninfected counterparts, suggestive of a dysfunctional immune system in these individuals. Upon exposure to pathogens, monocytes undergo epigenetic remodeling that results in either a trained or a tolerant phenotype, characterized by hyper-responsiveness or hypo-responsiveness to secondary stimuli, respectively. We utilized CD14+ monocytes from virally suppressed PLWH and healthy controls for in vitro analysis following polarization of these cells toward a pro-inflammatory monocyte-derived macrophage (MDM) phenotype. We found that in PLWH-derived MDMs, pro-inflammatory signals (TNFA, IL6, IL1B, miR-155-5p, and IDO1) dominate over negative feedback signals (NCOR2, GSN, MSC, BIN1, and miR-146a-5p), favoring an abnormally trained phenotype. The mechanism of this reduction in negative feedback involves the attenuated expression of IKZF1, a transcription factor required for de novo synthesis of RELA during LPS-induced inflammatory responses. Furthermore, restoring IKZF1 expression in PLWH-MDMs partially reinstated expression of negative regulators of inflammation and lowered the expression of pro-inflammatory cytokines. Overall, this mechanism may provide a link between dysfunctional immune responses and susceptibility to co-morbidities in PLWH with low or undetectable viral load.
Effect of two horizontal components of earthquake on nonlinear response of torsionally coupled base isolated structures

Torsion in base‐isolated structures using bilinear rubber isolators effected by two horizontal components of earthquake simultaneously is investigated under various principal parameters including number of storeys; ratio of uncoupled torsional frequency to lateral frequency in the superstructure; ratio of uncoupled torsional frequency to lateral frequency in the isolation system; mass eccentricity in the superstructure and isolation system; and, in addition, the direction of eccentricity. Structure was supposed a shear structure and it was modeled by using concentrated mass and springs. Isolators are modelled by using nonlinear springs considering the interaction of isolator behaviour in two directions. The effect of variation in considered parameters on the behaviour of the superstructure and isolation system is investigated under seven ground motions. It is demonstrated that the parameters affect asymmetric structure behaviour with respect to symmetric one. The results of our investigations help us to understand the asymmetric structure behaviour under bidirectional earthquake by comparing it with a symmetric one. These results demonstrate that asymmetry in the superstructure or isolation system could have a significant effect on the torsional behaviour of isolated structures. In addition, the results show that the use of rigid superstructures and calculation of dynamic torsion by multiplying eccentricity by the dynamic base shear are unacceptable assumptions. Torsional effect on the isolated structural behaviour is amplified by considering two horizontal components of earthquake and comparing them with just one horizontal component. Copyright © 2010 John Wiley & Sons, Ltd.
Visualization of the Fragmentation of a Weak Granular Material under Uniaxial Confined Compression

This study reports the crushing of a weak granular material during compression. Roasted chick peas were used to model granular materials. The chick peas were chosen because of their size, availability and easiness of crushing under compression. A series of uniaxial confined compression tests were run on the chick peas to visualize their mode of fragmentation. The chick peas were subjected to uniaxial compression stress tests that varied between 0 and 1527.9 kPa. The results from these tests were used to create: (a) an e-log σ curve; (b) to determine how many chick peas were broken and how many remain intact after compression; (c) to run sieve analysis to determine how the gradation of the samples changed as the applied vertical stress increased in value; and (d) to determine how the crushing occurred in the samples. To visualize the evolution of crushing in the samples, a transparent cylinder was used in the testing program. The evolution of crushing of the samples in the laboratory were compared that obtained from a numerical simulation of the compression tests. The numerical simulation used the Discrete Element Method. The location where the crushing took place in the laboratory and in the simulation compared well. A fractal analysis was also performed on the laboratory samples. Fragmentation fractal dimensions were determined. The fractal analysis indicated that the fragmentation fractal dimension increased with the level of crushing of the particles in the samples. Thus, the fragmentation fractal dimension can be used as a measure of the level of particle crushing.
A Survey of Extrinsic Parameters Calibration Techniques for Autonomous Devices

In recent years, autonomous driving devices have been widely used in civil traffic, disaster environment, commercial run and many other applications in real world, due to the multi-sensor fusion technique is widely applied to sense surroundings. The aim of this paper is to review the methods of range-image extrinsic parameters calibration, which is a popular choice of sensors fusion for robotics perception in detail. More than 50 existing methods are categorized into two main groups: offline method and online method, and the light of each typical method is introduced in each category. Finally, the discussion is presented. It helps to analyze the advantages and limitations of different approaches for the design and setup in the autonomous driving devices.
A Study of Multi-user Cooperative Spectrum Sensing Based on BOMP Algorithm

For improving the performance of spectrum sensing, the cooperative spectrum sensing technology has attracted much attention in Cognitive Radio (CR) research area. In this paper, we focus on the decision fusion technology in the cooperative sensing under IoT application scenarios, including the estimation of the individual node sensing reliability at the fusion center, the statistics method and the relevant probability which are used to estimate the detection reliability of each node. A wide-band spectrum sensing method based on the Block Orthogonal Matching Pursuit (BOMP) algorithm is proposed according to the spectrum sparsity in wide-band radio. The influence factor $\alpha\in(0,\ 1)$ is introduced to Analog Information Converter and Minimum Description Length (AIC and MDL) criterion for estimating the spectrum sparsity, which is taken as the stopping iteration condition for the BOMP algorithm. The simulation results show that the sensing delay is greatly reduced and the performance of sensing is improved.
Robust $H_{\infty}$ filtering for networked systems with communication delay and data missing

In this paper, we deal with the $H_{\infty}$ filtering problem for a class of discrete-time networked systems with communication delay and data missing. Two kinds of incomplete measurements with random delay and stochastic data missing are considered. The transition probabilities of the Markovian process are uncertain, but they exist in a convex set of known polyhedron types. The main purpose of this paper is to design a robust $H_{\infty}$ filter, which makes the filtering error system stochastic stable and satisfies the given $H_{\infty}$ performance index. A sufficient condition for the existence of the desired filter is established by using linear matrix inequalities. A numerical example shows the effectiveness and applicability of the method.
A multi-objective evolutionary algorithm for the hybrid flowshop rescheduling problem with lot streaming

With random disturbance events, the actual workshop environment is often dynamic, which makes the original schedule worse or even unfeasible. In this paper, considering the random disturbance of machine breakdown, a multi-objective hybrid flowshop rescheduling problem with lot streaming (MOHFRP_LS) is described. Firstly, a multi-objective optimization model is established with the total flow time and total starting time deviations of sublots. Secondly, based on the the technique for order preference by similarity to an ideal solution (TOPSIS) is introduced to evaluate the solution fitness, a multi-objective migrating birds optimization algorithm (MMBO) is proposed. In the algorithm, a dynamic decoding strategy by considering machine breakdown is proposed, and an improved mechanism is proposed to further improve the solution quality. Population initialization based on Glover operation is carried out to utilize the information contained in the original schedule. In the competition mechanism, population rearrangement technology and fast non-dominant sequencing technology are introduced to adjust the V-shaped population structure, and population reproduction strategy was used to carry out secondary updating to improve the population quality. In the scout mechanism, a local search approach is proposed based on Pareto property to improve the quality of alternative solutions. Finally, the effectiveness of MMBO is verified by experimental comparison and analysis.
H2020 OSMOSE PROJECT: Electrical Grid flexibility services from industrial loads through Demand Side Response (DSR)

In the future of Ancillary Services for the HV grid, Demand Side Response (DSR) will play an increasingly important role to ensure grid stability and promote Renewable Energy Sources integration in the electrical system. A particular use case of the Italian Demo of the H2020 project "Optimal System-Mix Of flexibility Solutions for European electricity" (OSMOSE) is to demonstrate multiple grid services provision based on DSR by seven industrial plants distributed in a HV grid area between Apulia and Basilicata. Sites have been managed by three Balance Service Providers (BSPs). On each industrial plant, project partners first have performed an energy audit and then they have installed all the electric and TLC equipment needed to test and manage the flexibilities identified. The main result of these activities was that the hardware required for DSR comes at a relatively small price compared to the magnitude of loads that could be controlled. Purpose of this work is to provide an analysis of possible benefits and limits of DSR for the grid as well as to direct a possible new future market strategy for these resources.
A Computer Simulation Based Scheduler for Woven Fabric Production

Finding a feasible schedule for assigning hundreds of different fabric orders on hundreds of looms to meet the order due dates and to maximize loom utilization is a diverse and complicated task. Such a scheduling problem is of significance in practice. An attempt is made to develop a computer simulation based scheduling system to cope with this problem. An application trial of this approach by a real weaving mill is also reported.
Construction of GUI Elements Recognition Model for AI Testing based on Deep Learning

Nowadays, GUI testing ensures the quality of GUI software. GUI automated testing by recording coordinates and handles has the disadvantages of poor reusability and low portability, which reduces the quality of GUI software testing. Therefore, GUI testing needs a more efficient testing to meet the rapid development of GUI software. AI can make testing more efficient. But the precondition of GUI software testing is to identify the GUI elements. In this context, the present paper studies the intelligent recognition of GUI elements based on deep learning, develops uniform markup rules for GUI elements and creates datasets to train the GUI element recognition model. According to the selected object detection network, the GUI element recognition model is trained, and the results are analyzed and discussed. The results of this project not only provide technical support for GUI intelligent testing, but also provide research objects and data for intelligent system reliability.
Redescription, Morphogenesis, and Molecular Phylogeny of Pseudosincirra longicirrata nov. comb., With Establishment of a New Genus Pseudosincirra nov. gen. (Ciliophora, Hypotrichia)

The morphology and morphogenesis of Pseudosincirra longicirrata nov. gen. and nov. comb. , isolated from southern China, were investigated with living observation and protargol staining. Our population is similar to the original population in living characteristics and ciliary patterns. The main determinable morphogenetic features of P. longicirrata nov. comb. are the presence of five frontoventral-transverse cirral anlagen (FVT-anlagen) and a dorsomarginal kinety anlage. According to the origin of FVT-anlagen IV and V in proter, it can be determined that P. longicirrata nov. comb. possesses two frontoventral rows and one right marginal row. Hence, a new genus, Pseudosincirra nov. gen., is proposed, and the diagnosis of P. longicirrata nov. comb. is improved. The new genus is diagnosed as follows: adoral zone of membranelles and undulating membranes is in a Gonostomum pattern; there are three enlarged frontal cirri, one buccal cirrus, and one parabuccal cirrus; postperistomial cirrus and transverse cirri are lacking; there are two more or less long frontoventral rows and one right and two or more left marginal rows; cirri within all rows very widely spaced; dorsal kinety pattern is of Urosomoida type, that is, three dorsal kineties and one dorsomarginal kinety; and caudal cirri are present. Phylogenetic analyses based on the small subunit ribosomal (SSU rDNA) sequence data indicate that P. longicirrata nov. comb. clusters with Deviata and Perisincirra. It is considered that Pseudosincirra nov. gen. and Perisincirra paucicirrata should be assigned to the family Deviatidae; fine cirri, and cirri within all rows being relatively widely spaced, should be considered as plesiomorphies of Deviatidae; and Deviatidae is closely related to Dorsomarginalia or Strongylidium–Hemiamphisiella–Pseudouroleptus.
Predictors of Shift Work Sleep Disorder Among Nurses During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study

Background: Nurses have a high incidence of shift work sleep disorder, which places their health and patient safety in danger. Thus, exploring the factors associated with shift work sleep disorder in nurses is of great significance in improving their sleep health, nursing personnel staffing, and scheduling during the COVID-19 pandemic. Objectives: The purpose of this study was to investigate the incidence of shift work sleep disorder during the COVID-19 pandemic and explore the factors associated with shift work sleep disorder in Chinese nurses. Methods: This was a multicenter cross-sectional study using an online survey. Stratified cluster sampling was used to include 4,275 nurses from 14 hospitals in Shandong, China from December 2020 to June 2021. Stepwise multivariate logistic regression analysis and random forest were used to identify the factors associated with shift work sleep disorder. Results: The prevalence of shift work sleep disorder in the sampled shift nurses was 48.5% during the COVID-19 pandemic. Physical fatigue, psychological stress, shift work more than 6 months per year, busyness during night shift, working more than 40 h per week, working more than four night shifts per month, sleeping more than 8 h before night shift, using sleep medication, irregular meals, and high-intensity physical activity were associated with increased odds of shift work sleep disorder. Good social support, good work-family balance, napping two or three times per week, resting more than one day after shifts, intervals of 8 days or more between shifts, and taking turns to rest during the night shift were associated with decreased odds of shift work sleep disorder. Conclusions: Shift work sleep disorder may be associated with scheduling strategies and personal behavior during the COVID-19 pandemic. To reduce the incidence of shift work sleep disorders in nurses, nursing managers should increase night shift staffing, extend rest days after shift, increase night shift spacing, and reduce overtime, and nurses need to seek more family and social support and control their sleep schedules and diet.
Finite element computation of field, forces and inductances in underground SF/sub 6/ insulated cables using a coupled magneto-thermal formulation

A finite element (FE) iterative formulation has been used for the computation of the coupled magneto-thermal field in underground SF/sub 6/ insulated high voltage cables. The formulation takes into account the real geometrical and physical properties of the involved materials. Using the field distributions, the cable ampacity and losses, the forces and the inductances have been calculated for both isolated phase and three-conductor arrangements. The influence of the operating parameters on these quantities is examined. >
Implementation of Stepper Motor's S-Curve Trajectories Control

The paper presents a new s-curve trajectories control method of stepper motor with the analysis of some controlling graph. The authors construct a s-curve trajectories using two parabolic, get some speed points through discrete s-curve, then gradually update these points in motor control program. It makes the soft controlling of Stepper motor’s automatic rising and falling speed come true.
Performance Comparison and Analysis of

With the popularization and development of information technology, digital modulation technology, especially digital phase modulation and quadrature amplitude modulation technologies, is the widely employed digital communications technology. These technologies are more complex, but with the development of digital signal processing and VLSI technology, complex design can be implemented with a small number of integrated circuit module. This article describes the technical performance of PSK and QAM. From binary PSK and QAM to introduction to the M-ary PSK and QAM, it has an in-depth analysis of the relation and difference of the two technologies. Keyword: digital modulation; QAM ;PSK Ⅰ. Overview In binary and in M-ary digital band-pass transmission systems ,bandwidth and power consumption on a phase-shift keying has the advantage ,that is ,high bandwidth utilization ,and requirement of signal to noise ratio is low, so the MPSK system is used by people.However, in the MPSK system , as M increases ,diminishing the distance of adjacent phase , along with reduced noise tolerance , bit error rate is difficult to guarantee . To improve noise margins when M is large , people developed system of QAM . Ⅱ、Principle and Performance of MQAM and MPSK (contains binaries) 1、The relations of estimation in the average probability of error for modulation signal and constellation diagram The constellation diagram ,that is , a graphical representation of the complex envelope that provides every possible symbol-State . Distance between the signal on the constellation diagram represents the difference between the modulation waveform , and related with random noise receiver capacity of distinguishing between symbols . (1) Probability of bit-error is proportional to the distance from the nearest point in the constellation diagram . So energy efficiency of dense modulation constellation schemes less than the evacuating modulation constellation programme . 2、M-ary phase shift keying (MPSK) In M-ary phase shift keying , carrier-phase preparation is one of a possible values of M , that is , θi=2(i-1)π/M, of which i=1,2, and M. After the modulation expression of waveform is :