Miracle-dz/UniFAR-FTUs huggingface dataset:
Imputing dropouts for single-cell RNA sequencing based on multi-objective optimization

MOTIVATION Single-cell RNA sequencing (scRNA-seq) technologies have been testified revolutionary for their promotion on the profiling of single-cell transcriptomes at single-cell resolution. Excess zeros due to various technical noises, called dropouts, will mislead downstream analyses. Therefore, it is crucial to have accurate imputation methods to address the dropout problem. RESULTS In this paper, we develop a new dropout imputation method for scRNA-seq data based on multi-objective optimization. Our method is different from existing ones, which assume that the underlying data has a preconceived structure and impute the dropouts according to the information learned from such structure. We assume that the data combines three types of latent structures, including the horizontal structure (genes are similar to each other), the vertical structure (cells are similar to each other), and the low-rank structure. The combination weights and latent structures are learned using multi-objective optimization. And, the weighted average of the observed data and the imputation results learned from the three types of structures are considered as the final result. Comprehensive downstream experiments show the superiority of our method in terms of recovery of true gene expression profiles, differential expression analysis, cell clustering and cell trajectory inference. AVAILABILITY The R package is available at https://github.com/Zhangxf-ccnu/scMOO and https://zenodo.org/record/5785195. The codes to reproduce the downstream analyses in this paper can be found at https://github.com/Zhangxf-ccnu/scMOO_experiments_codes and https://zenodo.org/record/5786211. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Comparison of Fine-Tuned Deep Convolutional Neural Networks for the Automated Classification of Lung Cancer Cytology Images with Integration of Additional Classifiers

Objective: It is essential to accurately diagnose and classify histological subtypes into adenocarcinoma (ADC), squamous cell carcinoma (SCC), and small cell lung carcinoma (SCLC) for the appropriate treatment of lung cancer patients. However, improving the accuracy and stability of diagnosis is challenging, especially for non-small cell carcinomas. The purpose of this study was to compare multiple deep convolutional neural network (DCNN) technique with subsequent additional classifiers in terms of accuracy and characteristics in each histology. Methods: Lung cancer cytological images were classified into ADC, SCC, and SCLC with four fine-tuned DCNN models consisting of AlexNet, GoogLeNet (Inception V3), VGG16 and ResNet50 pretrained by natural images in ImageNet database. For more precise classification, the figures of 3 histological probabilities were further applied to subsequent machine learning classifiers using Naïve Bayes (NB), Support vector machine (SVM), Random forest (RF), and Neural network (NN). Results: The classification accuracies of the AlexNet, GoogLeNet, VGG16 and ResNet50 were 74.0%, 66.8%, 76.8% and 74.0%, respectively. Well differentiated typical morphologies were tended to be correctly judged by all four architectures. However, poorly differentiated non-small cell carcinomas lacking typical structures were inclined to be misrecognized in some DCNNs. Regarding the histological types, ADC were best judged by AlexNet and SCC by VGG16. Subsequent machine learning classifiers of NB, SVV, RF, and NN improved overall accuracies to 75.1%, 77.5%, 78.2%, and 78.9%, respectively. Conclusion: Fine-tuning DCNNs in combination with additional classifiers improved classification of cytological diagnosis of lung cancer, although classification bias could be indicated among DCNN architectures.
Antiangiogenic Activity of Sweet Almond (Prunus dulcis) Oil Alone and in Combination with Aspirin in both in vivo and in vitro Assays

Objective: Angiogenesis is new blood vessels formations that are necessary for certain physiological and pathologic conditions. Almond oil represents adjuvant therapies for numerous health benefits; It has ability for prevent the formation angiogenesis in tumour, due to its high concentration of unsaturated fatty acids, polyphenols, flavonoids and other ingredients content. Aspirin is non-steroidal ant-inflammatory drug; significantly reduce the angiogenesis of cancer. The aim of the study is to investigate the role of Prunus dulcis oil alone and in combination with aspirin, as an anti-angiogenic. Method: A sequential concentrations ex-vivo rat aorta ring assay, investigate the anti-angiogenic activity of Prunus dulcisoil in vivo. After three days of incubation, small holes were created on the fine pinpoint. Acute toxicity study was evaluated after administration of Prunus dulcis oil via intraperitoneal route. Results: the obtained results displayed that the serial concentration dose-response has a significant inhibition effect of blood vessels growth when compared to the negative control (DMSO 1%), the dose depended percentage of inhibition, sweet almond oil in combination with aspirin synergism effect to inhibition growth blood vessels as anti-angiogenic activity. The zone of inhibition was been measured as the mean of inhibition area of blood vessel on eggs in millimetre (mm) ± standard deviation. Conclusion: Almond oil dose has inhibition effect on cancer and can be used as (anti-angiogenesis), the activity of almond oil with Aspirin synergism can significantly reduce blood vessel’s growth in rate aorta ring and CAM assay.
Molecular characterization and clinical outcome of B-cell precursor acute lymphoblastic leukemia with IG-MYC rearrangement

Rarely, immunophenotypically immature B-cell precursor acute lymphoblastic leukemia (BCP-ALL) carries an immunoglobulin-MYC rearrangement (IG-MYC-r). This can result in diagnostic confusion with Burkitt lymphoma/leukemia and use of individualized treatment schedules of unproven efficacy. Here we compare the molecular characteristics of these conditions and investigate historic clinical outcome data. We identified 90 cases registered in a national BCP-ALL clinical trial/registry. When present, diagnostic material underwent cytogenetic, exome, methylome and transcriptome analyses. The outcomes analyzed were 3-year event-free survival and overall survival. IG-MYC-r was identified in diverse cytogenetic backgrounds, co-existing with either established BCP-ALL-specific abnormalities (high hyperdiploidy, n=3; KMT2A-rearrangement, n=6; iAMP21, n=1; BCR-ABL1, n=1); BCL2/BCL6-rearrangements (n=15); or, most commonly, as the only defining feature (n=64). Within this final group, precursor-like V(D)J breakpoints predominated (8/9) and KRAS mutations were common (5/11). DNA methylation identified a cluster of V(D)J-rearranged cases, clearly distinct from Burkitt leukemia/lymphoma. Children with IG-MYC-r within that subgroup had a 3-year event-free survival of 47% and overall survival of 60%, representing a high-risk BCP-ALL. To develop effective management strategies this group of patients must be allowed access to contemporary, minimal residual disease-adapted, prospective clinical trial protocols.
Modeling of Wind Power Generating System with a Propeller Type Windmill by Neural Networks

One of the expected sources of natural energy for the future is wind energy, which has been actively studied as a substitute sources of energy for the world. Not only about wind energy, natural energies of ocean, sun, etc. are clean and safe, but fluctuation of properties are large and has poor reproducibility, so that most important subject is to find out methods to take out those energies effectively. To simulate and control windmill power system by control sequence, we need to obtain the accurate model of the wind power generating system previously. It is well-known that neural networks are useful for many problems in nonlinear system because of the ability of learning and nonlinear representation. We apply the neural network method to model a small-scale windmill power system which has a propeller type windmill with a dc generator. We manifested the validity of the proposed method by simulation results from both the simulated results for sinusoidal change of wind speed and natural wind speed by random sequence. Finally, the simulation results are illus trated to show the effectiveness of the modeling method used here for field data of wind speed and windmill speed.
Research on Flux-weakening Control of PMSM for Electric Drive Armored Vehicle

To meet demand of high torque at low-speed and widerange speed of electric drive armored vehicle,a method on PMSM current vector control was clarified in detail,and the best run-track of current vector was discussed in this paper.New control arithmetic for flux-weakening and speed-modulated in full-range was presented.Change of inductance parameter in d axis and q axis with armature reaction was considered,which influenced flux-weakening performance of PMSM.The flux-weakening control performance with and without considering armature reaction was compared using MATALB/Simulink.The rationality of control arithmetic and theory analysis was proved by simulation results.
N-Methyl-D-Aspartic Acid Receptor-Mediated Vasodilation Is Attenuated in the Retinas of Diabetic Rats

Abstract Purpose Activation of N-methyl-d-aspartic acid (NMDA) receptors enhances nitric oxide (NO) production in retinal neuronal cells, and in turn, NO released from neuronal cells induces glial cell-mediated dilation of retinal arterioles in rats. The purpose of this study was to examine how neuronal cell-dependent, glial cell-mediated vasodilation is impacted in diabetic rat retinas. Methods Diabetes was induced in 6-week-old male Wistar rats by combining streptozotocin injection and D-glucose feeding. Two weeks later, the dilator function of retinal arterioles was assessed. Results Compared with non-diabetic rats, the dilator responses of retinal arterioles induced by intravitreal injection of NMDA and NOR3, an NO donor, were reduced in diabetic rats. Following the blockade of large-conductance Ca2+-activated K+ (BKCa) channels with iberiotoxin, no significant difference in the retinal vasodilator response to NOR3 was observed between non-diabetic and diabetic rats. Intravitreal injection of 14,15-epoxyeicosatrienoic acid, a vasodilatory factor released from glial cells, dilated retinal arterioles, and the response was diminished by diabetes. Conclusion These findings suggest that the impaired BKCa channel function in vascular cells is responsible for the diminished neuronal cell-dependent, glial cell-mediated dilation of retinal arterioles during the early stage of diabetes.
Yoga provision for individuals living with Multiple Sclerosis: Is the future online?

Background Yoga has multiple benefits for individuals living with Multiple Sclerosis (MS), including reduced pain, depression, fatigue, strength, and improved quality of life. During the COVID-19 pandemic, home-based delivery of yoga increased. However, no studies to date have explored online home-based yoga for individuals living with MS, more specifically the motivations, experiences, or the sustainability of home-based yoga practice for individuals living with MS. Aim This study aimed to explore the facilitators and barriers of online yoga provision for individuals living with MS. Methods One focus group and three semi-structured interviews were carried out online via Zoom with one yoga instructor and seven yoga participants living with MS. Thematic Analysis was used to analyse this data. Findings Two themes were generated from the interviews, the environment and future provision, each with their own sub-themes. The themes reflect various facilitators and barriers of home-based yoga provision which differed depending upon the individuals home environment, social connections, physical ability, and confidence practising yoga. Furthermore, preferences of home provision fluctuated over time depending upon symptoms of MS. Conclusions Home-based yoga practice is a viable and enjoyable option for individuals living with MS. It is recommended that yoga studios offering home-based yoga provision consider individual differences in preference, as well as fluctuations in symptoms that may create inequitable access to services and may prevent participation for some.
Association between sodium-glucose cotransporter 2 (SGLT2) Association between sodium-glucose cotransporter 2 (SGLT2) inhibitors and lower extremity amputation: A systematic review inhibitors and lower extremity amputation: A systematic review and meta-analysis and meta-analysis

Background The association between sodium-glucose cotransporter 2 inhibitors (SGLT2i’s) and lower extremity amputation is unclear. To systematically review randomized control trials (RCTs) and observational studies quanti-fying risk of lower extremity amputations associated with SGLT2i use.
Energy Harvesting Autonomous Sensor Systems: Design, Analysis, and Practical Implementation

Energy Harvesting for Wireless Sensor NetworksSensor Technology: Concepts, Methodologies, Tools, and ApplicationsRF-Embedding of Energy-Autonomous Sensors and Actuators Into Wireless Sensor NetworksInnovative Energy Harvesting Technology for Wireless Bridge Monitoring SystemsEnergy Autonomous Micro and Nano SystemsWireless Sensor NetworksThe Role of Energy Reservoirs in Distributed ComputingPowering Autonomous SensorsRole of IoT in Green Energy SystemsWireless Sensor Systems for Extreme EnvironmentsAdvances in Emerging Trends and TechnologiesSmart Materials in Structural Health Monitoring, Control and BiomechanicsTechnological Innovation for Cyber-Physical SystemsAutonomous Wireless Sensor Network in a Substation Area Using Energy Harvesting and Wireless Transfer of EnergyMicro Energy HarvestingTransactions on Engineering TechnologiesEnergy HarvestingEnergy Harvesting SystemsWireless Sensor NetworksSystem-level Modeling of MEMSHigh Performance Materials and Devices for High-Speed Electronic SystemsICT Energy Concepts for Energy Efficiency and SustainabilityEnergy Harvesting Autonomous Sensor SystemsEnergy Harvesting for Wearable Sensor SystemsEnergy Harvesting for Autonomous SystemsMeasurement, Instrumentation, and Sensors HandbookPiezoelectric Energy HarvestingIoT Architectures, Models, and Platforms for Smart City ApplicationsEnergy Harvesting TechnologiesENERGY HARVESTING SYSTEMSCMOS Indoor Light Energy Harvesting System for Wireless Sensing ApplicationsEnergy Harvesting SystemsEnergy HarvestingEnergy Harvesting for Wireless Sensor NetworksInternet of EverythingMicro Energy HarvestingHandbook of Mems for Wireless and Mobile ApplicationsEnergy Harvesting for Low-power Autonomous Devices and SystemsRechargeable Sensor Networks: Technology, Theory, and ApplicationDesign Considerations of Harvested-energy Management
Study on the Reform of Table Tennis Teaching Content and Methods in University

Since the basic table tennis technique to learn, easy to master the rules of the game, and the facilities and equipment is simple, economical, indoor and outdoor can be carried out, the amount of exercise vary for different age, sex and physical condition of the participants. Therefore, college sports become a popular elective course options. However, as the table tennis in the university continues to heat up, the corresponding there have been some problems. Therefore, based on College Tennis lessons teachers and college students as subjects, the basic situation of table tennis classes at colleges and universities to carry out an investigation to reveal table tennis teaching deficiencies, on this basis, identify problems, and propose appropriate measures to promote table tennis in the future to further improve teaching in universities and improve sports as a carrier, to improve the teaching quality of contemporary college students.
Contact resistance modeling for NEMS ohmic relays using highly doped SiGe contact

In an ohmic nano relay, the surface quality of the contact materials is crucial in determining the performance of the device and also its lifetime. An in depth analysis of the surface of an highly doped poly SiGe material, considered as a potential candidate for relay applications, is carried out. A new contact resistance model based on the contact surface characteristics, stiction in presence of moisture and wear susceptibility, are elaborated . Results indicate that highly doped SiGe contacts can lead to contact resistance of few tens of kOhm while reducing the wear probability. Due to large wettabililty, however, the device needs to operate in a sealed and dry environment.
Structural inspection and analysis of former British Consulate in Shanghai

The building of former British Consulate in Shanghai is a protective historical building. The 2-story building is a composite structure of masonry and timber. The aged building has been used for more than one hundred years. Several retrofits have been performed and the structure has been partially changed. To ensure the safety of the current building and protect the building efficiently, structural inspection and analysis were performed based on the inspection techniques and the theoretical method developed by the authors. It was indicated by the inspection and the analysis results that most of the load bearing members are safe, however, some indispensable structural measures demanded by the current code to ensure the seismic capacities are missed, and proper retrofit is needed to realize these measures on the structure without affecting the original profile of the building.
University of Huddersfield Repository Redefining Healthcare Infrastructure: Moving Toward Integrated Solutions

Currently in the United Kingdom there is a trend to broaden the scope of service provision in the healthcare sector. Not only are new healthcare-related services being provided to the community, but also there is increasing concern for providing services to extend the life cycle of built facilities. This trend is similar to what has been observed in manufacturing, where different approaches are used to combine products and services, generating high-value integrated solutions. This article analyzes integrated-solution approaches that have been adopted in the manufacturing sector and compares them to trends that are emerging in the healthcare sector. The practical implications of these trends in the UK healthcare sector are also pointed out. This study discusses how to improve value generation by combining products and services; it also addresses the need for a value-creating system that is capable of developing and sustaining new healthcare infrastructures.
How geophysics ruined music

The USS Missouri (Figure 1) was the last battleship to serve with the US Navy. Entering service in 1944, she was finally decommissioned in 1992. Her service included hosting the signing of the Japanese surrender at the end of WW2 in 1945, as well as bombarding Iraqi positions during the first Gulf War in 1991. For those of us of a certain vintage, the Missouri may be more familiar as the setting of the video clip for Cher’s 1989 hit If I could turn back time. The US Navy agreed to the use of the Missouri in a bid to boost recruitment, but were reportedly unhappy with the outfit Cher wore (the video was only shown on MTV after 9 pm). Although the influence of the video clip itself is debatable, the song did reach number one in Australia.
How Engagement with Mathematics in an Integrated STEM Lesson Evolved over Four Years

ABSTRACT With student-centered, hands-on approaches to real-world problems, integrated STEM (science, technology, engineering, mathematics) curricula have the potential to engage students more authentically in multi-disciplinary learning and to learn mathematics more deeply. However, researchers have shown concern that the “M” is often a silent partner and have called for increasing mathematics’ visibility in STEM curricula. Taking into account this background, this paper investigated how teachers’ and students’ engagement with mathematics within a specific lesson in an integrated STEM unit evolved over four years in two elementary teachers’ classrooms and the factors the teachers pointed to that may explain their adaptations. Using classroom observations and teacher interviews, the results showed that the time engaged with the mathematics and the depth of engagement with the mathematics decreased over the four years. Five themes emerged that may explain their adaptations: 1) limited time, 2) the need to address required school academic standards in limited time, 3) materials and preparation, 4) the teachers’ comfort with the curriculum and, to a lesser extent, 5) their perceptions of their students’ abilities. These findings have implications for those that are writing, studying, or potentially using integrated STEM curricula in elementary schools.
Want a Positive Management System? Try a Token Economy

Abstract The purpose of this article is to lay out how physical education teachers can implement a token economy in their lessons. Following an introductory vignette, five steps to guide teachers on how to implement a token economy are described, namely (1) selection and definition of target behaviors, (2) selection of tokens, (3) selection of backup reinforcers, (4) selection of a reinforcement schedule, and (5) the exchange of tokens.
Model-Based Data-Driven System Identification and Controller Synthesis Framework for Precise Control of SISO and MISO HASEL-Powered Robotic Systems

Soft robots require a complimentary control architecture to support their inherent compliance and versatility. This work presents a framework to control soft-robotic systems systematically and effectively. The data-driven model-based approach developed here makes use of Dynamic Mode Decomposition with control (DMDc) and standard controller synthesis techniques. These methods are implemented on a robotic arm driven by an antagonist pair of Hydraulically Amplified Self-Healing Electrostatic (HASEL) actuators. The results demonstrate excellent tracking performance and disturbance rejection, achieving a steady state error under 0.25% in response to step inputs and maintaining a reference orientation within 0.5 degrees during loading and unloading. The procedure presented in this work can be extended to develop effective and robust controllers for other soft-actuated systems without knowledge of their dynamics a priori.
Module-W: Reconfigurable Modular Robots Forming Compliant Structures

Modular robotic systems have been investigated to change the appearance and functions by controlling robotic modules. These reconfigurable modular systems are developed for the interactions between the external environment including humans. Capabilities of compliant interactions are as helpful as those of self-reconfiguration for the modular systems in adapting to the environments. This paper presents a novel concept of a modular robot that has the abilities of compliant actuation and self-reconfiguration to form compliant structures. The authors develop the initial prototype of the modular robots, named Module-W (M-W). Empirical results with the prototype suggest that M-W has the potential to form compliant structures.