Miracle-dz/UniFAR-FTUs huggingface dataset:
Classi�cation of Cognitive Ability of Healthy Elderly Individuals Using Resting-State Functional Connectivity Magnetic Resonance Imaging and An Extreme Learning Machine

Purpose Quantitative determination of the correlation between cognitive ability and functional biomarkers in the elderly brain is essential. To identify biomarkers associated with cognitive performance in the elderly, this study combined an index model specific for resting-state functional connectivity (FC) magnetic resonance imaging (fcMRI) with a supervised machine learning method. Methods Performance scores on conventional cognitive test batteries and MRI data were obtained for 98 healthy elderly individuals and 90 healthy youth from two public databases. Based on the test scores, the elderly cohort was categorized into two groups: excellent and poor. An fcMRI index model was constructed for each elderly individual to determine the relative differences in FC among brain regions compared with that in the youth cohort. Brain areas sensitive to test scores could then be identified using the fcMRI indexes. To confirm the effectiveness of constructed model, the fcMRI indexes of these brain areas were used as feature matrix inputs for training an extreme learning machine. Classification accuracy was then tested in separate groups and confirmed by N-fold cross-validation. Results This learning study could effectively classify the cognitive status of healthy elderly individuals according to frontal lobe, temporal lobe, and parietal lobe FC values with a mean accuracy of 83.5%, which is substantially higher than that achieved using conventional correlation analysis. Conclusion This fcMRI classification study may facilitate early detection of age-related cognitive decline as well as help reveal the underlying pathological mechanisms.
Preliminary GN&C Design for the On-Orbit Autonomous Assembly of Nanosatellite Demonstration Mission

Small spacecraft autonomous rendezvous and docking (ARD) is an essential technology for future space structure assembly missions. The On-orbit Autonomous Assembly of Nanosatellites (OAAN) team at NASA Langley Research Center (LaRC) intends to demonstrate the technology to autonomously dock two nanosatel-lites to form an integrated system. The team has developed a novel magnetic capture and latching mechanism that allows for docking of two CubeSats without precise sensors and actuators. The proposed magnetic docking hardware not only provides the means to latch the CubeSats, but it also signiﬁcantly increases the likelihood of successful docking in the presence of relative attitude and position errors. The simplicity of the design allows it to be implemented on many CubeSat rendezvous missions. Prior to demonstrating the docking subsystem capabilities on orbit, the GN & C subsystem should have a robust design such that it is capable of bringing the CubeSats from an arbitrary initial separation distance of as many as a few thousand kilometers down to a few meters. The main OAAN Mission can be separated into the following phases: 1) Launch, checkout, and drift, 2) Far-Field Rendezvous or Drift Recovery, 3) Proximity Operations, 4) Docking. This paper discusses the preliminary GN & C design and simulation results for each phase of the mission.
EMPIRICAL STUDY OF THE RELATIVE STRENGTH IN THE CURRENCY PORTFOLIO CONSTRUCTION

The relative strength – one of the most useful tools of the technical analysis – is tested in the paper. It is defined as higher upsurge of asset prices and lower reduction than for other assets in the examined period of time. It can be put into use for different assets, however, the majority of authors utilizes it on stock markets. In this study, the currency market is in question. The author creates currency portfolios and checks their profitability with the use of the relative strengths compared with the buy and hold strategy. It turns out that the former lets achieve higher rates of return for all currencies tested in the study. What’s more, in some cases, the buy and hold strategy resulted in losses, whereas at the same time, the relative strength technique resulted in profits. When both strategies ended with losses, they were lower in the case of the relative strength technique. The Moving Average Convergence Divergence indicator was applied to find buy and sell signals. The research period is one year. It starts in October 2016 and ends at the end of September 2017. All major currencies were tested from the point of view of the Polish investor.
Cardiovascular Disease Prediction by Machine Learning Algorithms Based on Cytokines in Kazakhs of China

Background: Cardiovascular disease (CVD) is the leading cause of mortality worldwide. Accurately identifying subjects at high-risk of CVD may improve CVD outcomes. We sought to systematically examine the feasibility and performance of 7 widely used machine learning (ML) algorithms in predicting CVD risks. Methods: The final analysis included 1508 Kazakh subjects in China without CVD at baseline who completed follow-up. All subjects were randomly divided into the training set (80%) and the test set (20%). L1-penalized logistic regression (LR), support vector machine with radial basis function (SVM), decision tree (DT), random forest (RF), k-nearest neighbors (KNN), Gaussian naive Bayes (NB), and extreme gradient boosting (XGB) were employed for prediction CVD outcomes. Ten-fold cross-validation was used during model developing and hyperparameters tuning in the training set. Model performance was evaluated in the test set in light of discrimination, calibration, and clinical usefulness. RF was applied to obtain the variable importance of included variables. Twenty-two variables, including sociodemographic characteristics, medical history, cytokines, and synthetic indices, were used for model development. Results: Among 1508 subjects, 203 were diagnosed with CVD over a median follow-up of 5.17 years. All 7 models had moderate to excellent discrimination (AUC ranged from 0.770 to 0.872) and were well calibrated. LR and SVM performed identically with an AUC of 0.872 (95% CI: 0.829–0.907) and 0.868 (95% CI: 0.825–0.904), respectively. LR had the lowest Brier score (0.078) and the highest sensitivity (97.1%). Decision curve analysis indicated that SVM was slightly better than LR. The inflammatory cytokines, such as hs-CRP and IL-6, were identified as strong predictors of CVD. Conclusion: SVM and LR can be applied to guide clinical decision-making in the Kazakh Chinese population, and further study is required to ensure their accuracies.
S TUDENT C ONCERNS FOR E NGAGEMENT IN O NLINE A CTIVE L EARNING E NVIRONMENTS DURING COVID-19

– This paper shares a summary of the self-reported concerns of 134 first-year engineering students around engagement in online active learning environments during COVID-19. The students had volunteered to participate in remote weekly problem-solving workshops for four weeks that utilized Active Learning techniques. In this paper, we specifically analyze samples from the students who participated in only one workshop and responded to the following question: What concerns do you have that might limit your ability to engage in online active learning environments? Twenty of the participants reported no concerns. The tone of each student's response and personal feelings reported were also analyzed. Then, a thematic analysis of each student response was made, with the transcription and coding agreement being performed by two coders. As expected, most of the students expressed their concerns in a negative or neutral tone, and only a few expressed an affinity for current educational settings. Word mining of feeling terms shows that more students had verbalized being disengaged, followed by distracted and uncomfortable and none communicated a positive feeling. Our thematic analysis showed that learning socially (72/114, or 63%) is the most pressing concern for the students, followed by more personal regulating factors such as attitude and motivation (44%), quality of physical and virtual study environment (40%), as well as the guidance received from the course administrators (24%). Findings suggest the need for developing a global understanding of what active learning in an online environment entails in the context of engineering education, and to develop and adjust tools and practices to help students learn in this new context.
May 31, 2022 On the importance of sensor height variation for detection of magnetic labels

Magnetoresistive sensors are widely used for biosensing by detecting the signal from magnetic labels bound to a functionalized area that usually covers the entire sensor structure. Magnetic labels magnetized by a homogeneous applied magnetic field weaken and strengthen the applied field when they are over and outside the sensor area, respectively, and the detailed origin of the sensor signal in experimental studies has not been clarified. We systematically analyze the signal from both a single sensor stripe and an array of sensor stripes as function of the geometrical parameters of the sensor stripes as well as the distribution of magnetic labels over the stripes. We show that the signal from sensor stripes with a uniform protective coating, contrary to conventional wisdom in the field, is usually dominated by the contribution from magnetic labels between the sensor stripes rather than by the labels on top of the sensor stripes because these are at a lower height. We therefore propose a shift of paradigm to maximize the signal due to magnetic labels between sensor stripes. Guidelines for this optimization are provided and illustrated for an experimental case from the literature.
Total OH Reactivity Measurements in a Suburban Site of Shanghai

Total hydroxyl radicals (OH) reactivity, as a measure of the OH total loss rate and the significance of atmospheric oxidation, is broadly used to evaluate the OH budget in the atmosphere. Here, measurements of the total OH reactivity were performed at a suburban air quality monitoring supersite (Dianshan Lake) of Shanghai, between 1 August and 15 September, 2020, using the Comparative Reactivity Method. The measured total OH reactivity ranged from 13.9 to 107.4 s−1 with an average of 38.4 s−1. Meanwhile, the calculated total OH reactivity varied between 8.9 and 84.4 s−1 from concentrations of atmospheric trace gases measured by multiple in‐situ techniques including an online gas chromatograph equipped with mass spectrometry and flame ionization detection (GC‐MS/FID) and two proton‐transfer‐reaction time‐of‐flight mass spectrometers (PTR‐ToF‐MSs). A 12.1% missing OH reactivity was evident from the comparison between the measured and calculated total OH reactivities. Inorganic trace gases, methane, and 54 observed Photochemical Assessment Monitoring Station compounds detected by GC‐MS/FID, accounted for 25.7%, 1.3%, and 10%, respectively, of the calculated total OH reactivity. In addition, 292 species detected by PTR‐ToF‐MSs contributed the rest 63%. The top 10 VOC contributors to the measured total OH reactivity were C5H8, CH2O, C2H4O, C6H6O, C4H8O, C3H6O, C10H16, C5H10O, C5H8O2, and C8H10, respectively, whose total contribution reached 42%. Correlation analysis for the missing OH reactivity suggests that primary biogenic VOCs could be a potential source for the missing OH reactivity during the daytime, and that secondary oxidation products might also be connected to the missing OH reactivity.
A Multi-Element Expression Score Is A Prognostic Factor In Glioblastoma Multiforme

Purpose: Glioblastoma multiforme (GBM) is a highly malignant tumor of the central nervous system. Although primary GBM patients receive extensive therapies, tumors may recur within months, and there is no objective and scienti ﬁ c method to predict prognosis. Adoptive immunotherapy holds great promise for GBM treatment. However, the expression pro ﬁ les of the tumor-associated antigens (TAAs) and tumor immune microenvironment (TME) genes used in immunotherapy of GBM patients have not been fully described. The present study aimed to develop a predictive tool to evaluate patient survival based on full analysis of the expression levels of TAAs and TME genes. Methods: Expression pro ﬁ les of a panel of 87 TAAs and 8 TME genes signi ﬁ cantly correlated with poor prognosis were evaluated in 44 GBM patients and 10 normal brain tissues using quantitative real-time polymerase chain reaction (qRT-PCR). A linear formula (the LASSO algorithm based in the R package) weighted by regression coef ﬁ cients was used to develop a multi-element expression score to predict prognosis; this formula was cross-validated by the leave-one-out method in different GBM cohorts. Results: After analysis of gene expression, clinical features, and overall survival (OS), a total of 8 TAAs (CHI3L1, EZH2, TRIOBP, PCNA, PIK3R1, PRKDC, SART3 and EPCAM), 1 TME gene (FOXP3) and 4 clinical features (neutrophil-to-lymphocyte (NLR), number of basophils (BAS), age and treatment with standard radiotherapy and chemotherapy) were included in the formula. There were signi ﬁ cant differences between high and low scoring groups identi ﬁ ed using the formula in different GBM cohorts (TCGA (n=732) and GEO databases (n=84)), implying poor and good prognosis, respectively. Conclusion: The multi-element expression score was signi ﬁ cantly associated with OS of GBM patients. The improve understanding of TAAs and TMEs and well-de ﬁ ned formula could be implemented in immunotherapy for GBM to provide better care.
CLEP_A_229266 435..445

Leah J McGrath Karynsa Kilpatrick Robert A Overman Diane Reams Anjali Sharma 2 Ivy Altomare Jeffrey Wasser 4 M Alan Brookhart 1NoviSci, Inc., Durham, NC, USA; 2Amgen Inc, Thousand Oaks, CA, USA; 3Duke University Medical Center, Durham, NC, USA; 4University of Connecticut, Farmington, CT, USA; 5Department of Population Health Sciences, Duke University, Durham, NC, USA Purpose: Patients with immune thrombocytopenia (ITP) have low platelet counts and an increased risk of bleeding. We described treatment patterns and clinical outcomes in routine practice in the United States (US). Patients and Methods: Using electronic health record data from hematology/oncology clinics linked to administrative claims in the US, we studied 447 adults newly diagnosed with primary ITP from 2011 to 2016. Patients with a secondary cause of thrombocytopenia were excluded. The incidence of ITP treatment initiation, bleeding events, and rescue therapy use were estimated using competing risk models. Results: At 1-year post-ITP diagnosis, 50% of patients were prescribed an oral corticosteroid, with the majority being prescribed immediately following diagnosis. Of themore common secondline options, rituximab use was the most frequent (1-year cumulative incidence: 16% [95% confidence interval: 12, 19]), followed by romiplostim (9% [7, 12] and eltrombopag (5% [3, 8]). Use of these drugs was similar at 2 years post-diagnosis. At 6 months post-ITP treatment initiation, the cumulative incidence of bleeding was similar among eltrombopag and romiplostim initiators (17% [6, 33] and 19% [9, 31], respectively) andwas slightly lower in rituximab users (12% [6, 20]). However, during this same timeframe, rituximab users had a higher incidence of rescue therapy use (48% [36, 58] versus 29% [14, 46] in eltrombopag and 26% [14, 39] in romiplostim users). Although splenectomy was rare, at 6 months post-surgery nearly 20% had experienced a bleed and nearly 20% had required rescue. Conclusion: This study describes the health trajectory of adults with ITP who are managed in hematology clinics in the US and could inform the design of non-interventional studies of comparative effectiveness among treatments.
Neutrophils In Situ Emigration Patterns for Monocytes and Different Intralumenal Crawling and LFA-1 and Mac-1 Define Characteristically

To exit blood vessels, most ( ∼ 80%) of the lumenally adhered monocytes and neutrophils crawl toward locations that support transmigration. Using intravital confocal microscopy of anesthetized mouse cremaster muscle, we separately examined the crawling and emigration patterns of monocytes and neutrophils in blood-perfused unstimulated or TNF- a –activated venules. Most of the interacting cells in microvessels are neutrophils; however, in unstimulated venules, a greater percentage of the total monocyte population is adherent compared with neutrophils (58.2 6 6.1% versus 13.6 6 0.9%, adhered/total interacting), and they crawl for signiﬁcantly longer distances (147.3 6 13.4 versus 61.8 6 5.4 m m). Intriguingly, after TNF- a activation, monocytes crawled for signiﬁcantly shorter distances (67.4 6 9.6 m m), resembling neutrophil crawling. Using function-blocking Abs, we show that these different crawling patterns were due to CD11a/CD18 (LFA-1)- versus CD11b/CD18 (Mac-1)-mediated crawling. Blockade of either Mac-1 or LFA-1 revealed that both LFA-1 and Mac-1 contribute to monocyte crawling; however, the LFA-1–dependent crawling in unstimulated venules becomes Mac-1 dependent upon inﬂammation, likely due to increased expression of Mac-1. Mac-1 alone was responsible for neutrophil crawling in both unstimulated and TNF- a –activated venules. Consistent with the role of Mac-1 in crawling, Mac-1 block (compared with LFA-1) was also signiﬁcantly more efﬁcient in blocking TNF-
YOU ARE WHAT YOU WEAR: SYMBOLIC RELATIONSHIPS BETWEEN PRODUCTS AND IDENTITIES

This article discusses the relationship between fashion products, personal identity and social identity revealing its importance in design and emotion research, and how clothing and accessories for personal use can affect, influence and assert our identity. In a sociological context definitions of identity and self-identity are discussed and related. Fashion as a phenomenon of identity exposure, influencing the development of people ́s personal style. This article proposes a descriptive framework linking products, personal identity and social identity, among the dimensions found, lays the concepts of Giddens ́s self-identity, Belk ́s Extended Self, as well as social status and fashion.
RMHP_A_246452 335..345

Junqiang Liu Paicheng Liu 1 Xue Gong Fengbo Liang 1School of Government, Sun Yat-sen University, Guangzhou, People’s Republic of China; 2Center for Chinese Public Administration Research, Sun Yat-sen University, Guangzhou, People’s Republic of China Background: We know a great deal about types, causes, and prevention of medical errors, as well as the risks of each medical specialties. Although we know something about medical errors, much remains to be done in this area particularly around effective prevention. However, little is known about whether medical errors are related to medical specialties. Our objective was to categorize and map the distribution of medical errors and analyze their relationships with medical specialties. Methods: First, public cases of medical disputes were searched on “China Judgment Online” according to the key words including medical errors. Second, we set up a database with 5237 medical litigations. After removing unrelated judgment documents, we used systematic random sampling to extract half of these. Then, we hired two frontline physicians withM.D. to review the litigation documents and independently determine the medical errors and the departments in which they took place. A third physician further reviewed the divergent results. After the descriptive statistical analysis and mind map analysis, semi-structured interviews were further conducted with 63 doctors to reveal the relationships mentioned above. Results: More than 97.8% of medical errors occurred in clinical departments. The insufficient implementation of informed consent obligations is the top medical error in all medical departments [internal medical departments (12.86%, N=36), surgical departments (14.57%, N=106), specialist departments (13.16%,N=86)]. The types ofmedical errors in diversemedical departmentsmight be associated with therapeutic means used by physicians. Errors related to surgical operations were common in surgical departments, errors related to diagnoses were common in internal medicine departments, and errors related to therapywere common in specialist departments. A lack of clinical experience and undesirable work system design have contributed to the occurrence of medical errors. Inadequate human resources and unreasonable shift systems have increased the workload of staff members and this has in turn increased the incidence rate of medical errors. Conclusion: Medical departments are facing medical errors both in humanity and technology. Medical institutions should be alert to the harm caused by medical humanity (mainly including insufficient communication between physicians and patients, insufficient implementation of infringement of informed consent, infringement of patient’s privacy and overtreatment). Improving the clinical skill and vigilance of medical staff is a top priority. Medical institutions should also improve undesirable system designs.
Somniosus pacificus, Echinorhinus cookei, and Hexanchus griseus inhabit shelf, slope, canyon

Vertical habitat and behaviour of the bluntnose sixgill shark in Hawaii 1 2 Christina M. Comfort, Kevin C. Weng 3 University of Hawaii, Department of Oceanography, Pelagic Fisheries Research Program 4 5 Corresponding Author: Christina Comfort, ccomfort@hawaii.edu 6 1000 Pope Road, Honolulu, HI 96822 7 Tel: 808-956-0226 8 9 ABSTRACT 10 11 Bluntnose sixgill sharks are apex predators and scavengers that are near-globally 12 distributed in slope and shelf habitats, but many aspects of their behaviour and ecology are 13 poorly understood. A better understanding of how oceanographic variables influence sixgill 14 shark behaviour may help predict their distribution, response to increasing anthropogenic 15 stressors including climate change, and role in ecosystems throughout their geographic range. 16 We used satellite telemetry to observe the vertical behaviour of four bluntnose sixgill sharks in 17 the subtropical oligotrophic waters of Hawaii. A strong diel vertical movement cycle was 18 observed, with sharks spending nighttime in thermocline waters and descending into the oxygen 19 minimum zone in daytime. Depth changes generally occurred between nautical twilight and 20 sunrise/sunset. Dive initiation and dive completion were significantly correlated with nautical 21 dawn and sunrise, respectively. A stepwise generalized estimating equations model was used to 22 investigate vertical speeds in the daytime and nighttime depth habitats, and this analysis revealed 23 that photic zone light level was the primary factor correlated with vertical speed. Outside of the 24 depth transitions, higher vertical speeds were observed when photic zone light was low, 25 suggesting more active foraging in the shallow nighttime habitat than the deep daytime habitat. 26 27
Design and Realization of a Reflectarray Compact Antenna Test Range

This paper presents a reflectarray compact antenna test range (RACATR). The new range layout is designed to suppress the unwanted diffraction. A fast near field optimization method has been used to determine the phase distribution of the only phased aperture efficiently in numerical example. The full wave simulation results of the linear reflectarray support that this facility design approach is working well to suppress the structural interference such as the mirror reflection and the edge diffraction. A 460 mm,460 mm square reflectarray was manufactured and measured. Satisfying the requirement of the quiet zone field distribution, the quasi-plane wave is achieved from 26.5~28.5 GHz by linearly adjusting the feed location.