Miracle-dz/UniFAR-FTUs huggingface dataset:
Mathematical Modeling of High-Speed PMSM Considering Rotor Eddy Current Reaction Effect

This article presents an improved mathematical model of high-speed permanent magnet synchronous machine (PMSM), taking the rotor eddy current reaction effect into account. The conventional model (e.g. MATLAB/Simulink built-in PMSM model) is not capable of handling the high-frequency behaviors of the high-speed PMSM which involves rotor eddy current reaction field. Such behaviors include, for example, the decrease of armature winding inductance with frequency, and the increase of harmonic current amplitude under PWM voltage source inverter (VSI) power supply. In the improved model, the rotor eddy current reaction effect is modeled by setting up short-circuited virtual windings on the rotor reference frame. The parameters of the rotor virtual windings can be identified with a standstill frequency response (SSFR) test using either finite-element (FE) method or direct experimental measurement. Finally, the advantage of the improved PMSM model over the conventional one is verified with both SSFR and on-load experimental test with a 300 kW, 26 krpm high-speed PMSM prototype.
Optical variability of the high synchrotron energy peaked blazar 1ES 1959+650 on various time-scales

We report the results of optical monitoring of the high synchrotron energy peaked blazar (HSP), 1ES 1959+650, performed with the 80-cm optical telescope at Xinglong Optical Observatory in 2010–2016. Our study was focused on the optical variability of the source on diverse time-scales over about 6 yr, which is helpful in understanding the variability mechanisms of blazars. Over 19 nights of intense photometric observations, we obtained 38 intranight light curves in the different bands. Intranight variability was not detected from all of these light curves. However, 1ES 1959+650 exhibited significant variations on the short-term (months) and long-term (years) time-scales. During the whole period of our monitoring, the maximum changes in the brightness of the source was 1.38 ± 0.05 and 1.17 ± 0.03 mag in the B and R waveband, respectively. The larger variability amplitude in the blue band than in the red one is demonstrated by the bluer-when-brighter spectral trend. The B − R colour index showed a change of 0.21 ± 0.06 mag across our monitoring period. The non-detection of intranight variations of 1ES 1959+650 is in agreement with previous observations, showing that the optical fluxes of HSPs are less variable than those of intermediate/low synchrotron energy peaked blazars (ISPs/LSPs) on time-scales of hours. In contrast, the detections of significant short-term and long-term variability of the source suggest that the optical variability of HSPs might not be very different from those of ISPs/LSPs on time-scales of months and years. Finally, we discuss some possible scenarios for the differences and the similarities of optical variability on various time-scales between the two blazar subclasses.
Rural Latinx Students’ Spatial Imaginations of Their College Choices: Toward a Student Understanding of “Rural-Serving Institutions” in California’s San Joaquin Valley

Rural students face multiple issues pursuing higher education, including financial hardships, inadequate college preparation, and geographic isolation from postsecondary institutions. These issues are further complicated for rural Latinx students, especially those from immigrant farm working backgrounds, who are positioned at the intersection of multiple systems of oppression. Yet, rural Latinx students’ college choice and transition experiences are rarely centered in the higher education literature. This article examined the college choices of nine rural Latinx high school seniors from California’s San Joaquin Valley who chose to attend a public higher education institution in this agricultural region. This article drew on three indicators from the culturally engaging campus environments (CECE) model and employed a Chicana/Latina feminist pláticas methodology to analyze the campus elements that motivated rural Latinx students to enroll in public institutions in the San Joaquin Valley. Findings demonstrate that rural Latinx students purposely chose these institutions because they imagined that such institutions would (a) be racially and spatially familiar, (b) allow them to give back to their rural communities through relevant majors, and (c) offer tight-knit collegiate environments. Recommendations for higher education researchers and practitioners interested in increasing college success for rural Latinx students and expanding traditional definitions of rural-serving institutions (RSIs) are provided.
Accelerated Bone Loss in Transgenic Mice Expressing Constitutively Active TGF-β Receptor Type I

Transforming growth factor beta (TGF-β) is a key factor mediating the intercellular crosstalk between the hematopoietic stem cells and their microenvironment. Here, we investigated the skeletal phenotype of transgenic mice expressing constitutively active TGF-β receptor type I under the control of Mx1-Cre (Mx1;TβRICA mice). μCT analysis showed decreased cortical thickness, and cancellous bone volume in both femurs and mandibles. Histomorphometric analysis confirmed a decrease in cancellous bone volume due to increased osteoclast number and decreased osteoblast number. Primary osteoblasts showed decreased ALP and mineralization. Constitutive TβRI activation increased osteoclast differentiation. qPCR analysis showed that Tnfsf11/Tnfrsf11b ratio, Ctsk, Sufu, and Csf1 were increased whereas Runx2, Ptch1, and Ptch2 were decreased in Mx1;TβRICA femurs. Interestingly, Gli1, Wnt3a, Sp7, Alpl, Ptch1, Ptch2, and Shh mRNA expression were reduced whereas Tnfsf11/Tnfrsf11b ratio was increased in Mx1;TβRICA mandibles. Similarly, osteoclast-related genes were increased in Mx1;TβRICA osteoclasts whereas osteoblast-related genes were reduced in Mx1;TβRICA osteoblasts. Western blot analysis indicated that SMAD2 and SMAD3 phosphorylation was increased in Mx1;TβRICA osteoblasts, and SMAD3 phosphorylation was increased in Mx1;TβRICA osteoclasts. CTSK was increased while RUNX2 and PTCH1 was decreased in Mx1;TβRICA mice. Microindentation analysis indicated decreased hardness in Mx1;TβRICA mice. Our study indicated that Mx1;TβRICA mice were osteopenic by increasing osteoclast number and decreasing osteoblast number, possibly by suppressing Hedgehog signaling pathways.
Simulation and Analysis of the Railgun Muzzle Flow Field Considering the Arc Plasma

The electromagnetic railgun is a new concept weapon with the hypersonic launch capability. During the railgun launch process, the armature is accelerated along the rails. A complex and high-speed flow field occurs in the muzzle area when the armature leaves the barrel. Meanwhile, the muzzle temperature will be very high because of the secondary arc and friction. In this paper, an analysis of the railgun muzzle fluid flow field after the armature left the barrel is presented, and a three-dimension numerical model for arc plasma is obtained based on the electromagnetic and hydrodynamic equations. The aerodynamic simulation method with moving boundary is adopted to deduce the boundary conditions of the arc model, where the coupling model and the dynamic meshing method are applied. In addition, the backflow phenomenon is considered in the arc model. The distributions of the temperature and the velocity near the muzzle are computed, especially for the dynamic distribution of the arc plasmas. As we can see from the results, the plasma near the muzzle expands outward when the armature leaves the barrel, and most of the plasma will flow back to the bore in a short time. The existence of muzzle plasma may aggravate the erosion and aluminum deposition, which will lead to negative effects on the launcher’s lifetime.
Triple Negative Breast Cancer Treatment Options and Limitations: Future Outlook

Triple negative breast cancer (TNBC) has a negative expression of estrogen receptors (ER), progesterone receptors (PR), and human epidermal growth factor receptors (HER2). The survival rate for TNBC is generally worse than other breast cancer subtypes. TNBC treatment has made significant advances, but certain limitations remain. Treatment for TNBC can be challenging since the disease has various molecular subtypes. A variety of treatment options are available, such as chemotherapy, immunotherapy, radiotherapy, and surgery. Chemotherapy is the most common of these options. TNBC is generally treated with systemic chemotherapy using drugs such as anthracyclines and taxanes in neoadjuvant or adjuvant settings. Developing resistance to anticancer drugs and off-target toxicity are the primary hindrances to chemotherapeutic solutions for cancer. It is imperative that researchers, clinicians, and pharmaceutical companies work together to develop effective treatment options for TNBC. Several studies have suggested nanotechnology as a potential solution to the problem of suboptimal TNBC treatment. In this review, we summarized possible treatment options for TNBC, including chemotherapy, immunotherapy, targeted therapy, combination therapy, and nanoparticle-based therapy, and some solutions for the treatment of TNBC in the future. Moreover, we gave general information about TNBC in terms of its characteristics and aggressiveness.
Nirmasi (Delphinium) poisoning with salvoes of malignant ventricular arrhythmias in central Nepal: A case report

Nirmasi is a commonly used herb in Nepal especially in hilly and Himalayan regions. It is known as Delphinium species herb. Nirmasi has been used in Nepalese and Indian rural communities since ages for treatment of chronic illnesses like headache, epilepsy, mania, paralysis, rheumatism, toothache, and various types of pain. However, many species of Nirmasi (Delphinium) are poisonous and look quite similar in morphology to the beneficial ones. As a result, unintentional poisoning is common. Poisoning due to these plant products results in various symptoms attributed to gastric irritation, competitive neuromuscular blockade, and cardiotoxicity caused by various alkaloids present in them. We report here a case of poisoning due to Nirmasi herb ingestion presenting as epigastric pain, vomiting, profuse sweating, syncopal attack, hypotension and malignant ventricular arrhythmias managed successfully with antiarrhythmics and supportive treatment.
An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing

Crowd-sourcing has attracted much attention due to its growing importance to society, and numerous studies have been conducted on task allocation and wage determination. Recent works have focused on optimizing task allocation and workers' wages, simultaneously. However, existing methods do not provide good solutions for real-world crowd-sourcing platforms due to the low approximation ratio or myopic problem settings. We tackle an optimization problem for wage determination and online task allocation in crowd-sourcing and propose a fast 1-1/(k+3)^(1/2)-approximation algorithm, where k is the minimum of tasks' budgets (numbers of possible assignments). This approximation ratio is greater than or equal to the existing method. The proposed method reduces the tackled problem to a non-convex multi-period continuous optimization problem by approximating the objective function. Then, the method transforms the reduced problem into a minimum convex cost flow problem, which is a well-known combinatorial optimization problem, and solves it by the capacity scaling algorithm. Synthetic experiments and simulation experiments using real crowd-sourcing data show that the proposed method solves the problem faster and outputs higher objective values than existing methods.
A Coupled Temporal–Spectral–Spatial Multidimensional Information Change Detection Framework Method: A Case of the 1990–2020 Tianjin, China

Satellite image time-series change detection methods have become an effective means of obtaining information on land cover change. However, the temporal, spectral, and spatial features and their derived features of land cover objects are of great importance for time-series change detection. The existing studies have made insufficient use of these features, which may affect the results of land cover change detection. In order to fully integrate the above features to portray and represent change information, this study proposes a coupled temporal–spectral–spatial multidimensional information change detection framework (TSSF) method. First, the derived index features are calculated to construct intra-annual temporal–spectral information to reduce the underutilization of spectral features. Second, the intra-annual temporal–spectral information is extended to the spatiotemporal domain by the simple noniterative clustering method and the SG filtering method to increase the exploitation of spatial features. Then, the value and shape-based dynamic time warping method and the change vector analysis in the posterior probability space method are employed to obtain change information from the spectral, index, and class probability perspectives. Finally, the change type in the change region is obtained from the class probability information of the change magnitude according to the Bayesian criterion. Tianjin City was used as the study area to explore the land cover change from 1990 to 2020. The results show that the TSSF method is feasible in expressing temporal–spectral–spatial change information compared with the existing methods and is conducive to the efficient acquisition and identification of change areas and change types.
Effect of Qigong Exercise on Balance in Healthy Elderly

Introduction: The elderly experience various decline in life and cause a decrease in body's functional balance. Thus will affect the quality of life. Balance can be measured using various assessment instruments, one of them is the Berg Balance Scale (BBS). Qigong exercise is not widely known or well known among the elderly in Indonesia, in fact it has many benefits and is suitable for them. This study wanted to prove the effect of Qigong exercise on improving functional balance in elderly. Methods: This study is a randomized controlled trial with pre and post test controlled group design. The sampling method is using consecutive sampling method. The sample was 20 people and divided into intervention group (n=10 people) and control group (n=10 people). Participants in the intervention group performed Qigong exercises 3 times a week for 8 weeks. The control group received common elderly exercise 3 times a week. Balance was measured before and after the intervention using the Berg Balance Scale (BBS). Results: There was an increase in BBS scores before and after treatment in the elderly exercise group (p=0.003), and in the Qigong group (p=0.004). The Berg Balance Scale value in the control group (44.30±0.68) was higher than the Qigong group (44.18±0.60) at the beginning of the study but the difference was not significant (p=0.632). The Berg Balance Scale value in the control group (46.60±0.84) was lower than the Qigong group (48.45±1.13) at the end of the study and the difference was significant (p<0.001). Conclusion: Qigong exercise improves balance better than the elderly exercise.
Abnormal whole-brain voxelwise structure-function coupling and its association with cognitive dysfunction in patients with different cerebral small vessel disease burdens

Cerebral small vessel disease (CSVD) is a universal neurological disorder in older adults that occurs in connection with cognitive dysfunction and is a chief risk factor for dementia and stroke. While whole-brain voxelwise structural and functional abnormalities in CSVD have been heavily explored, the degree of structure-function coupling abnormality possible in patients with different CSVD burdens remains largely unknown. This study included 53 patients with severe CSVD burden (CSVD-s), 108 patients with mild CSVD burden (CSVD-m) and 76 healthy controls. A voxelwise coupling metric of low frequency fluctuations (ALFF) and voxel-based morphometry (VBM) was used to research the important differences in whole-brain structure-function coupling among groups. The correlations between ALFF/VBM decoupling and cognitive parameters in CSVD patients were then investigated. We found that compared with healthy controls, CSVD-s patients presented notably decreased ALFF/VBM coupling in the bilateral caudate nuclei and increased coupling in the right inferior temporal gyrus (ITG). In addition, compared with the CSVD-m group, the CSVD-s group demonstrated significantly decreased coupling in the bilateral caudate nuclei, right putamen and inferior frontal gyrus (IFG) and increased coupling in the left middle frontal gyrus and medial superior frontal gyrus. Notably, the ALFF/VBM decoupling values in the caudate, IFG and ITG not only showed significant correlations with attention and executive functions in CSVD patients but also prominently distinguished CSVD-s patients from CSVD-m patients and healthy controls in receiver operating characteristic curve research. Our discoveries demonstrated that decreased ALFF/VBM coupling in the basal ganglia and increased coupling in the frontotemporal lobes were connected with more severe burden and worse cognitive decline in CSVD patients. ALFF/VBM coupling might serve as a novel effective neuroimaging biomarker of CSVD burden and provide new insights into the pathophysiological mechanisms of the clinical development of CSVD.
Unpacking the black box of deep learning for identifying El Niño-Southern oscillation

By training a convolutional neural network (CNN) model, we successfully recognize different phases of the El Niño-Southern oscillation. Our model achieves high recognition performance, with accuracy rates of 89.4% for the training dataset and 86.4% for the validation dataset. Through statistical analysis of the weight parameter distribution and activation output in the CNN, we find that most of the convolution kernels and hidden layer neurons remain inactive, while only two convolution kernels and two hidden layer neurons play active roles. By examining the weight parameters of connections between the active convolution kernels and the active hidden neurons, we can automatically differentiate various types of El Niño and La Niña, thereby identifying the specific functions of each part of the CNN. We anticipate that this progress will be helpful for future studies on both climate prediction and a deeper understanding of artificial neural networks.
FIFI-LS: The Field-Imaging Far-Infrared Line Spectrometer on SOFIA

We describe the design of the Field-Imaging Far-Infrared Line Spectrometer (FIFI-LS), operated as a Facility-Class instrument on the Stratospheric Observatory for Infrared Astronomy (SOFIA). FIFI-LS is an imaging spectrometer for medium resolution spectroscopy. Since being commissioned in 2014, it has performed over 50 SOFIA commissioning and science flights. After operating as a principal investigator instrument in 2014 and early 2015, it was accepted as a Facility Science Instrument in 2015. In addition to the description of the design, we report on the in-flight performance and the concept of operation. We also provide an overview of the science opportunities with FIFI-LS and describe how FIFI-LS observations complement and complete observations with the PACS instrument on the Herschel observatory.
Specific Blood Plasma Circulating miRs Are Associated with the Physiological Impact of Total Fish Meal Replacement with Soybean Meal in Diets for Rainbow Trout (Oncorhynchus mykiss)

Simple Summary To warrant food security and nutrition, more sustainable aquafeeds should be used in fish farming, and the content of fish meal (FM) in fish diets should be reduced. Soybean meal (SBM) is one of the most commonly used alternative raw materials to replace FM in commercial diets, although a high SBM dietary content can affect fish growth, physiology, and wellbeing. Although these effects are known to be produced by several antinutritional factors (ANFs), the underlying mechanisms are still not fully understood. Deeper characterization of how SBM dietary content alters fish physiology will allow the development of more integrative fish physiology monitoring. In the present work, the expression of six microRNAs (miRs) in blood plasma was associated with a high SBM dietary content and related physiological consequences. Circulating miRs can be used as a less invasive procedure to monitor fish physiology without the need of animal sacrifice, allowing the development of more sustainable aquafeeds with the use of fewer animals in experimentation. Abstract High dietary SBM content is known to induce important physiological alterations, hampering its use as a major FM alternative. Rainbow trout (Oncorhynchus mykiss) juveniles were fed two experimental diets during 9 weeks: (i) a FM diet containing 12% FM; and (ii) a vegetable meal (VM) diet totally devoid of FM and based on SBM (26%). Fish fed the VM diet did not show reduced growth performance when compared with fish fed the FM diet. Nevertheless, fish fed the VM diet had an increased viscerosomatic index, lower apparent fat digestibility, higher aminopeptidase enzyme activity and number of villi fusions, and lower α-amylase enzyme activity and brush border integrity. Small RNA-Seq analysis identified six miRs (omy-miR-730a-5p, omy-miR-135c-5p, omy-miR-93a-3p, omy-miR-152-5p, omy-miR-133a-5p, and omy-miR-196a-3p) with higher expression in blood plasma from fish fed the VM diet. Bioinformatic prediction of target mRNAs identified several overrepresented biological processes known to be associated with high dietary SBM content (e.g., lipid metabolism, epithelial integrity disruption, and bile acid status). The present research work increases our understanding of how SBM dietary content has a physiological impact in farmed fish and suggests circulating miRs might be suitable, integrative, and less invasive biomarkers in fish.
Safe and Robust Map Updating for Long-Term Operations in Dynamic Environments

Ensuring safe and continuous autonomous navigation in long-term mobile robot applications is still challenging. To ensure a reliable representation of the current environment without the need for periodic remapping, updating the map is recommended. However, in the case of incorrect robot pose estimation, updating the map can lead to errors that prevent the robot’s localisation and jeopardise map accuracy. In this paper, we propose a safe Lidar-based occupancy grid map-updating algorithm for dynamic environments, taking into account uncertainties in the estimation of the robot’s pose. The proposed approach allows for robust long-term operations, as it can recover the robot’s pose, even when it gets lost, to continue the map update process, providing a coherent map. Moreover, the approach is also robust to temporary changes in the map due to the presence of dynamic obstacles such as humans and other robots. Results highlighting map quality, localisation performance, and pose recovery, both in simulation and experiments, are reported.
A Novel Approach for Modeling Biphasic Dose–Response Curves

Abstract Estimates of EC 50 1 from dose–response data play an important role in comparing drug potencies. When the sampling data of dose–response studies fail to follow a sigmoidal shaped curve, and the data display a biphasic property at higher dose levels where the response profile concaves and takes an inverted U-shape, this is known as the hook or prozone effect. To address this concern, some research investigators may pursue data removal. Others may choose to ignore the data shape and fit a model blindly. Unfortunately for both practices, the estimates of the fitting parameters, such as the EC 50, will be of poor quality and result in misleading inference. The authors propose the use of an empirical and novel extension of a sigmoid model to properly and effectively capture the information from all of the dose–response data, including that of the inverted U-shaped tail. Methods for using 3- and 4-parameter logistic models with examples, are discussed.