Miracle-dz/UniFAR-FTUs huggingface dataset:
Mental health of community residents in Wuhan during the epidemic of COVID-19 and the influencing factors

目的 了解新型冠状病毒肺炎流行期社区居民的心理状况及其影响因素,为实施针对性心理干预提供参考 方法 采用便利抽样法抽取武汉市某社区居民333人,应用患者健康问卷和广泛性焦虑量表进行调查 结果 社区居民抑郁评分为(6 89±2 12)分,焦虑评分(7 10±2 14)分 社区居民中201人(60 36％)同时存在抑郁、焦虑情绪 多因素分析显示,性别、文化程度、有亲人为医护人员是影响社区居民抑郁、焦虑情绪的因素(P＜o 05,P＜0 01) 结论 新型冠状病毒肺炎流行期,社区居民存在不同程度的抑郁、焦虑情绪,应针对影响因素对社区居民加强心理疏导,提高其心理健康水平
DESIGN AND ANALYSIS OF A NOVEL MINIATURIZED DUAL-BAND OMNIDIRECTIONAL ANTENNA FOR WIFI APPLICATIONS

In this article, a novel dual-band omnidirectional antenna for WiFi applications is presented and investigated. The proposed antenna is mainly composed of two pairs of half-wavelength dipoles with different lengths. It is fed by a microstrip balun, which provides a good impedance matching for desired dual-band operation. The dimension of the proposed antenna is only 50mm × 10mm × 1mm (0.4λ0 × 0.08λ0 × 0.008λ0, and λ0 is the wavelength of 2.4 GHz). The performance study of this dualband omnidirectional antenna with different geometric parameters has been conducted. The final design is fabricated and measured, and the results exhibit a good impedance bandwidth of approximately 19.2% for |S11| ≤ −10 dB ranging from 2.24 to 2.70 GHz centered at 2.4 GHz, and over 17.4% for |S11| ≤ −10 dB ranging from 4.73 to 5.6 GHz centered at 5.0 GHz. This antenna also has a stable gain of 2.09 ∼ 2.87 dBi and omnidirectional radiation patterns over the whole operating band. Dual-band coverage, stable omnidirectional radiation performance, simple structure, and miniaturized dimension make this antenna an excellent candidate for WiFi applications.
The effect of alcohol on genetically modified exosome deposition in the hypothalamus

OF THESIS. ii DEDICATION. iv ACKNOWLEDGEMENT. v TABLE OF CONTENTS. vi LIST OF FIGURES. viii LIST OF ABBREVIATIONS. ix 1. CHAPTER ONE: BACKGROUND 1.1 FETAL ALCOHOL SPECTRUM DISORDERS DEFINITION AND EPIDEMIOLOGY. 1 1.2 HYPOTHALAMUS AND BETA-ENDORPHINS. 2 1.2.1 HYPOTHALAMUS, ARCUATE NUCLEUS, AND POMC. 2 1.2.2 BETA-ENDORPHINS BACKGROUND. 3 1.2. 3 EFFECT OF ALCOHOL ON BETA-ENDORPHINS. 3 1.3. MICROGLIA. 4 1.3. 1 MICROGLIA FUNCTION. 4 1.3. 2 COMMUNICATION BETWEEN MICROGLIA AND NEURONS. 5 1.3. 3 ALCOHOL-INDUCED ACTIVATION OF MICROGLIA. 5 1.4 EXOSOMES. 6 1.4. 1 EXOSOME BACKGROUND AND FUNCTION. 6 1.4. 2 ROLE IN CNS AND IMMUNE RESPONSE. 8 1.4. 3 GENETICALLY MODIFIED EXOSOMES. 8 1.4. 4 ALCOHOL AND EXOSOMES.10 1.5 BLOOD-BRAIN BARRIER. 10 1.5. 1 BBB FUNCTION. 10 1.5. 2 BBB AFTER ALCOHOL EXPOSURE. 11 1.5. 3 EXOSOME INVOLVEMENT IN BBB. 12 HYPOTHESIS. 13 AIMS OF THIS STUDY. 13 2. CHAPTER TWO. 14 2.1 MATERIALS AND METHODS. 14 2.2 RESULTS. 15 2.2.1 AIM 1 RESULTS. 16 2.2.2 AIM 2 RESULTS. 18 DISCUSSION AND CONCLUSIONS. 20
Hybrid Segmentation Method With Confidence Region Detection for Tumor Identification

Segmentation methods can mutually exclude the location of the tumor. However, the challenge of complex location or incomplete identification is located in segmentation challenge dataset. Identificationof tumor location is difficult due to the variation of intensities in MRI image. Vairation of intensity extends up to edema. Confidence Region with Contour Detection identifies the variation of intensities and level set algorithm (Region Scale Fitting) is used to delineate among the region of inner and outer of the tumor. Automatic feature selection method is required due to data complexity. An improved Self Organization Feature Map. Method is required. Weighted SOM Map selects a deterministic feature. This feature is one higher trained accuracy feature. When this specific feature is combines with cluster therefore it is known as deterministic feature clustering. This method gives confidence element. Confidence Region with Contour detection is facing the issue due to extended variations of intensities. These intensities are segmented by hybrid SOM Pixel Labelling with Reduce Cluster Membership and Deterministic Feature Clustering. This hyhbrid method segments the complex tumor intensities. This method produces a potential cluster which is achieved through the hybrid of three unsupervised learning techniques. Hybrid cluster method segments the tumor region. Extended intensities are also segmented by this hybrid approach. Above methods are validated on MICCAI BraTs brain tumor dataset, this is a segmentation challenge dataset. Proposed hybrid algorithm is efficient and it’s accuracy can be seen with testing parameters like Dice Overlap Index, Jaccard Tanimoto Coefficient Index, Mean Squared Error and Peak Signal to Noise Ratio. Dice OverlapIndex is 98%, Jaccard Index is 96 percent, Mean Squared Error is 0.06 and Peak Signal To Noise ratio is 18db. The performance of the suggested algorithm is compared to other state of the art.
Coliform bacteria and nitrate contamination of wells in major soils of Frederick, Maryland

An investigation was conducted on the hypothesis that inadequate septic system construction or placement may cause contamination of wells with coliform bacteria and/or nitrates. Specifically, two predictions were tested: (1) A negative correlation between lot size and coliform bacteria and nitrate contamination will exist in unsewered areas. (2) Coliform bacteria and nitrate contamination will decrease with increasing casing length. The relationship of coliform bacteria and nitrate levels to lot size and casing length was tested for all wells in unsewered areas (n = 832) and for wells in 10 soil groups in Frederick County, Maryland, to determine if septic system construction or placement contributed to well contamination. Coliform bacteria and nitrate contamination were negatively correlated with lot size. In addition, coliform bacteria levels were negatively correlated with casing length, and there was a trend toward nitrate levels being associated with casing length. The results suggest that septic systems may be a source of coliform bacteria and nitrate contamination of wells. The casing length required in well construction should be increased in areas where wells may be prone to coliform bacteria contamination if the minimum amount of casing is used.
Cell type specificity in CB1 antagonism

Since the 1960s, much progress has been made in understanding Cannabis sativa’s mechanism of action. Focus on CB1, the G-protein coupled receptor held responsible for the psychoactive effects of marijuana and hashish, has led to multiple therapeutic applications. These include both appetite stimulation, by agonizing the receptor, and appetite reduction by antagonizing it. However, in the latter case, adverse have been noticed and the receptor seems to contain more complex properties than expected. These include constitute activity and possibly ligand specific activation of intracellular pathways. Utilizing these parameters in drug design might reduce adverse effects, while keeping the therapeutic force intact. Recently, astrocytes were shown to increase the release of neurotransmitters by endocannabinoids. This is in contrast with observations in neurons, where endocannabinoids show multiple forms of suppression of transmitter release. Activation of astrocytes by CB1 was shown to be mediated by other G-proteins than usual in neurons. Therefore, cell type specific inhibition of endocannabinoids’ effect is suggested to be possible. These results might be useful for further improving the balance between adverse and therapeutic effects of CB1 antagonists. Outline Page: Abstract 3 Introduction 4 Chapter 1: Presence of endocannabinoids 6 Chapter 2: Electrophysiological effects of endocannabinoids 8 Chapter 3: Signal transduction pathways of CB1 and functional ligand selectivity 15 Chapter 4: CB1 antagonism: Constitute activity and inverse agonism 17 Discussion 26
Renal involvement in systemic lupus erythematosus: additional histopathological lesions

A common criticism of the classification of lupus nephritis is the relative scarcity of information regarding tubular, interstitial, and vascular changes compared to the available information regarding glomerular changes, even though their potential for independent progression is known. This study reviewed the importance of less explored lesions by the current and widely used 2003 classification of lupus nephritis of the International Society of Nephrology/Renal Pathology Society (ISN/RPS), with emphasis on the tubulointerstitial, podocyte, and vascular lesions, increasingly recognised as being important in the pathogenesis and prognosis of the disease. Recognition of these lesions can help with therapeutic decision-making, thereby allowing better results for patients with systemic lupus erythematosus.
The Unintentional Gerrymandering of America: How Population Shifts in Congressional Districts Contribute to the Wasting of Votes, as Measured by the Efficiency Gap

vi LIST OF TABLES . ix INTRODUCTION . 1 LITERATURE REVIEW . 6 METHODS . 20 RESULTS . 27 DISCUSSION . 34 CONCLUSION . 38 REFERENCES . 41 APPENDIX A . 48
Finding CN XI: A Review of Defining the Spinal Accessory Nerve in Anatomical and Evolutionary Contexts

The distinct pathway and controversial morphology of cranial nerve XI (spinal accessory nerve) make it unique among the cranial nerves. In the past decade, several anatomical and embryological studies have further elucidated the structure and function of CN XI. In this review, the evolutionary history of CN XI and its phylogenetic relationship to CN X, the vagus nerve, are considered in light of these recent investigations to provide a fuller anatomical picture of the CN XI. Implications for anatomical education are also considered. doi: 10.21692/haps.2017. 047
Do alterations in gene expressions influence tumorigenesis in the transmissible venereal tumor in dogs?

ABSTRACT: Canine transmissible venereal tumor (CTVT) is a transmissible neoplasm, which spreads naturally between dogs through the halogenic transfer of tumor cells, mainly during coitus. It is the oldest known tumoral lineage in nature and reports on gene mutations have been extended. Also, this tumor shares several genetic mutations with some cancers in humans, among them lung carcinomas, melanoma, prostate, breast, among other cancers. Thus, expression of tumor suppressor genes such as TP53, P21, and apoptosis-related genes such as BAX, BCL-2, and BCL-xL, both in vivo and in vitro (primary cell culture) were quantified. In the present study, the comparison of gene expression, the TP53 gene, in most cases, was shown to be high in the majority of tissues (65%) and primary cell culture (100%), while BCL-2, BCL-xL, and BAX presented variation among the animals analyzed. Moreover, in these situations, the results suggested that the apoptotic regulation of these genes did not occur for TP53. The P21 gene was shown to be mostly normal (70%); although, absence (6%) and underexpressions (24%) were also observed. Statistical analysis of the BCL-xL gene demonstrated significant differences between the tissues of the animals when compared to the cell cultures; however, to the other genes, no statistical difference was observed between the groups. Preliminarily, the results suggested the presence of alterations in the gene expressions of the TP53, P21, BAX, BCL-2 and BCL-xL leading to loss of function in these genes, which affect the tumorigenesis of CTVT.
Le tecnologie assistive per la disabilità tra attualità e innovazione: una systematic review

Assistive Technology (AT) refers to products or services (specialized or mainstream) used by (or for) persons with disabilities (Sik-Lanyi 2015) to improve their quality of life by supporting cognitive and social skills and autonomy. Given the increase in mainstream technologies in everyone's life, is there still a specific AT development filed and a dedicated market? How are they characterized? To explore the debate and the areas of development, a systematic review was conducted following a multiphase procedure (Cochrane, 2011) in order to analyse the AT dedicated to children and young people, adults and the elderly. The research, in three databases (SCOPUS, IEEE, Web of Science) with keywords, identified 951 articles. 77 duplicates removed, the AT identified in the remaining 874 articles (415 children / young people, 106 adults, 353 elderly) were classified according to the ISO 9999 Standard and connected to the ICF domains. Despite the heterogeneity of the identified products, specific research lines emerge according to the different age groups: technologies for practicing skills and communication for children and adolescents, for work and professional training for adults and for the care and protection for the elderly. The results highlight the constant and renewed attention of the scientific community for AT, also characterized by a high technological innovation (sensors, cognitive assistants, robots, wireless systems, wearables). This makes the sector as a border area, challenging for special education and for the life project of the person with disability
Impact of Continuous Positive Airway Pressure (CPAP) Masks on Arterial Blood Gas Parameters and Pulmonary Side Effects after Open-heart Surgery

Article type: Original article Background and Aim: Pulmonary side effects are one of the most prevalent and critical sequels following open-heart surgery. A preventive measure for pulmonary side effects after open-heart surgery is to apply continuous positive airway pressure (CPAP) masks. However, studies regarding the usage of these masks have demonstrated contradictory results. Therefore, the present investigation aimed to evaluate the influence of CPAP masks on reducing pulmonary side effects following open-heart surgery. Materials and Methods: This clinical trial was performed on 72 subjects selected through the continuous sampling method out of the patients with open-heart surgery and assigned to two groups of 36 in 2015 in Kashan, Iran. The participants in the test group went under CPAP with 5 cmH2O pressure immediately post-extubation for five times of 30 min with the intervals of 8 h (a total of 150 min during 40 h). On the other hand, the subjects of the control group only received the routine care of the department. Pulmonary sequels, including pleural effusion, pneumothorax, and atelectasis, in addition to some other variables, namely PO2, PCO2, oxygen saturation (O2 Sat), and respiratory rate (RR) were assessed. All the data were analyzed by the Chi-square test and independent t-test. Results: Our findings demonstrated that CPAP application can significantly diminish the occurrence of atelectasis and pleural effusion after open-heart surgery (P<0.05). Moreover, the results revealed that CPAP mask usage leads to a significant reduction in RR and arterial PCO2, while elevates PO2 and O2 Sat significantly (P<0.05). Conclusion: Results of the current study showed that the non-invasive application of CPAP mask immediately post-extubation in patients who undergo open-heart surgery can effectively improve pulmonary function and decrease the incidence of pulmonary side effects, such as atelectasis. Article History: Received: 02 December 2019 Revised: 01 January 2020 Accepted: 04 January 2020
Coordinate strongly s-convex functions and related results

In this article, we give non-trivial examples of coordinate s -convex functions which are not s -convex functions. Also, we present a new class of coordinate strongly s -convex functions. We prove that every strongly s -convex function is coordinate strongly s -convex function but the converse is not generally true. Furthermore, we establish Jensen type inequality for strongly s-convex functions. We present Jensen and Hermite-Hadamard type inequalities for coordinate strongly s -convex functions. different formulations of the above Jensen type inequality.
Neuraminidase Activity of Influenza Virus Strains that Differ in the Ability to Cause Disease

Influenza viruses are classified based on their surface glycoproteins: hemagglutinin and neuraminidase. Hemagglutinin (HA) is responsible for binding to the host cell, while neuraminidase (NA) facilitates escape of newly formed virus particles. These studies determined the NA activity of three subtypes of influenza A virus that differ in their ability to cause disease in mice: influenza A/NWS/33 (H1N1), influenza A/ Victoria/3/75 (H3N2), and influenza A/Duck/MN/1525/81 (H5N1). Chemiluminescent quantitation of NA activity in equal amounts of each virus was determined in three replicate experiments. Results indicate that N1 virus subtypes have higher NA activity than do N2 subtypes. In addition, the NA activity of each virus was tested in the presence of the NA inhibitor oseltamivir. Effective antiviral concentrations of oseltamivir for each virus were EC50 = 0.51, 0.19, and 0.70 nM for NWS, Victoria, and Duck viruses, respectively. These results do not support the hypothesis that NA activity alone determines the ability of the virus to cause disease. However, these data do suggest a correlation between NA activity and virus resistance to oseltamivir.
Deep Learning Assisted Time-Frequency Processing for Speech Enhancement on Drones

This article fills the gap between the growing interest in signal processing based on Deep Neural Networks (DNN) and the new application of enhancing speech captured by microphones on a drone. In this context, the quality of the target sound is degraded significantly by the strong ego-noise from the rotating motors and propellers. We present the first work that integrates single-channel and multi-channel DNN-based approaches for speech enhancement on drones. We employ a DNN to estimate the ideal ratio masks at individual time-frequency bins, which are subsequently used to design three potential speech enhancement systems, namely single-channel ego-noise reduction (DNN-S), multi-channel beamforming (DNN-BF), and multi-channel time-frequency spatial filtering (DNN-TF). The main novelty lies in the proposed DNN-TF algorithm, which infers the noise-dominance probabilities at individual time-frequency bins from the DNN-estimated soft masks, and then incorporates them into a time-frequency spatial filtering framework for ego-noise reduction. By jointly exploiting the direction of arrival of the target sound, the time-frequency sparsity of the acoustic signals (speech and ego-noise) and the time-frequency noise-dominance probability, DNN-TF can suppress the ego-noise effectively in scenarios with very low signal-to-noise ratios (e.g. SNR lower than −15 dB), especially when the direction of the target sound is close to that of a source of the ego-noise. Experiments with real and simulated data show the advantage of DNN-TF over competing methods, including DNN-S, DNN-BF and the state-of-the-art time-frequency spatial filtering.
3-D Dense Rangefinder Sensor With a Low-Cost Scanning Mechanism

LiDAR sensors have been widely applied in autonomous robotics and autonomous systems. High-channel LiDARs or multiple low-channel LiDARs are adopted in these applications to overcome the poor vertical resolution of point clouds, as this scenario can lead to high costs. Here, as a means to improve the vertical resolution of point clouds and lower the cost, we present a 3-D dense rangefinder sensor composed of a low-channel LiDAR, a camera, a brush-less motor, and a crank–link system to replace the traditional LiDAR. A special registration method is designed to register the high-dynamic point cloud. The measurement uncertainty of this method is analyzed. In addition, a 3-D object detection method is used to obtain the 3-D pose of obstacles by combining the dense point cloud and an image-based 2-D object detection algorithm. Finally, several experiments are performed to evaluate the effectiveness of the proposed 3-D rangefinder sensor.
Artificial Intelligence: What it Was, and What it Should Be?

Artificial Intelligence was embraced as an idea of simulating unique abilities of humans, such as thinking, self-improvement, and expressing their feelings using different languages. The idea of “Programs with Common Sense" was the main and central goal of Classical AI; it was, mainly built around an internal, updatable cognitive model of the world. But, now almost all the proposed models and approaches lacked reasoning and cognitive models and have been transferred to be more data driven. In this paper, different approaches and techniques of AI are reviewed, specifying how these approaches strayed from the main goal of Classical AI, and emphasizing how to return to its main objective. Additionally, most of the terms and concepts used in this field such as Machine Learning, Neural Networks and Deep Learning are highlighted. Moreover, the relations among these terms are determined, trying to remove mysterious and ambiguities around them. The transition from the Classical AI to Neuro-Symbolic AI and the need for new Cognitive-based models are also explained and discussed.
A Robust, High-Speed and Energy-Efficient Ultralow-Voltage Level Shifter

This brief presents a robust level shifter design able to convert input voltages from the deep sub-threshold regime (about 100 mV) up to the nominal supply voltage (1.8 V). The proposed circuit is based on a self-biased low-voltage cascode current mirror (CM) topology that features diode-connected PMOS and NMOS transistors to drive the split-input inverting buffer used as output stage with high energy efficiency. Experimental results across corner wafers demonstrate the effectiveness of the proposed level shifter as compared to prior art. The proposed circuit allows a voltage up-conversion from a 0.4-V 100-kHz input pulse to 1.8 V with an average switching delay of 7.6 ns and an average energy per transition of only 69 fJ. This is achieved at an area of $82~\mu \text{m}^{2}$ for a standard cell-based design.
In-silico TOXICITY PREDICTION OF BIOACTIVE COMPOUNDS OF Vernonia amygdalina DELILE. AND DIGOXIN

Vernonia amygdalina Delile. is commonly found in a tropical area, it has an inotropic effect on the heart and has phytochemical constituents that are similar to digoxin such as vernonioside D and vernonioside A3. This study aimed to determine the prediction of toxicity level and value of the bond energy between digoxin, vernonioside D, and vernonioside A3 on the enzyme Na/KATPase In silico method. Prediction of ADMET was determined by using the pkCSM website, Prediction of toxicity of chemical were determined by protox II website and docking analysis in this study was carried out using the AutoDock software with PDB code 4RET and visualization using polymol. The results showed that digoxin induces CYP3A4 receptors while vernonioside D and A3 did not induce CYP3A4 receptors. Prediction of LD50 was digoxin 5 mg/kg (fatal), while vernonioside D has a prediction of LD50 was 8000 mg/kg (non-toxic) and vernonioside A3 has a prediction of LD50 was 8000 mg/kg (non-toxic). Digoxin, vernonioside D and vernonioside A3 inhibited hERG II. The binding energy value of Na/KATPase to digoxin was obtained value -12 Kcal/mol, vernonioside D was obtained a value of -9 Kcal/mol while vernonioside A3 was obtained a value of -9.4 Kcal/mol. Based on the research, it can be concluded that vernonioside D and vernonioside A3 has a lower toxicity level compared to digoxin, while the affinity of digoxin for Na/KATPase has higher compared to Vernonioside D and vernonioside A3.