Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing a Low-Power LNA and Filter for Portable EEG Acquisition Applications

A circuit with a low-power low-noise amplifier and a Gm-C ultra-low-power filter is proposed in this paper for portable electroencephalogram (EEG) acquisition applications. The proposed circuit contains a two-stage chopper-stabilized fully recycling folded cascode (TSRFC) amplifier and a second-order continuous-time Gm-C low pass filter (LPF) with ultra-low-power consumption. The noise and input offset are reduced using the chopper-stabilized technique. A two-stage amplifier that consists of composite transistors and a recycling structure is proposed for the amplifier. Compared to a typical folded cascode CMOS amplifier, the proposed design has higher DC gain and slew rate as well as lower input-referred noise. This circuit has an adjustable second-order Gm-C LPF with very low power consumption. The amplifier achieves a midband gain of 70 dB and a −3dB bandwidth in the range 0.1–212 Hz. Moreover, the amplifier is designed in 0.18-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS process and the chip area of the proposed circuit with pads is <inline-formula> <tex-math notation="LaTeX">$450\times 450\,\,\mu \text{m}^{2}$ </tex-math></inline-formula>. The adjustable LPF has a 100 Hz cut-off frequency. The proposed circuit has an input-referred noise of <inline-formula> <tex-math notation="LaTeX">$0.7~\mu $ </tex-math></inline-formula>Vrms, (0.1 ~ 100Hz) and a power consumption of 380 nW at 1 V supply.
Scalable Wi-Fi Intrusion Detection for IoT Systems

The pervasive and resource-constrained nature of Internet of Things (IoT) devices makes them attractive to be targeted by different means of cyber threats. There are a vast amount of botnets being deployed every day that aim to increase their presence on the Internet for realizing malicious activities with the help of the compromised interconnected devices. Therefore, monitoring IoT networks using intrusion detection systems is one of the major countermeasures against such threats. In this work, we present a machine learning based Wi-Fi intrusion detection system developed specifically for IoT devices. We show that a single multi-class classifier, which operates on the encrypted data collected from the wireless data link layer, is able to detect the benign traffic and six types of IoT attacks with an overall accuracy of 96.85%. Our model is a scalable one since there is no need to train different classifiers for different IoT devices. We also present an alternative attack classifier that outperforms the attack classification model which has been developed in an existing study using the same dataset.
Electrical Impedance Tomography for Biomedical Applications: Circuits and Systems Review

There has been considerable interest in electrical impedance tomography (EIT) to provide low-cost, radiation-free, real-time and wearable means for physiological status monitoring. To be competitive with other well-established imaging modalities, it is important to understand the requirements of the specific application and determine a suitable system design. This paper presents an overview of EIT circuits and systems including architectures, current drivers, analog front-end and demodulation circuits, with emphasis on integrated circuit implementations. Commonly used circuit topologies are detailed, and tradeoffs are discussed to aid in choosing an appropriate design based on the application and system priorities. The paper also describes a number of integrated EIT systems for biomedical applications, as well as discussing current challenges and possible future directions.
A General Framework for Adversarial Label Learning

We consider the task of training classiﬁers without fully labeled data. We propose a weakly supervised method—adversarial label learning—that trains classiﬁers to perform well when noisy and possibly correlated labels are provided. Our framework allows users to provide diﬀerent weak labels and multiple constraints on these labels. Our model then attempts to learn parameters for the data by solving a zero-sum game for the binary problems and a non-zero sum game optimization for multi-class problems. The game is between an adversary that chooses labels for the data and a model that minimizes the error made by the adversarial labels. The weak supervision constrains what labels the adversary can choose. The method therefore minimizes an upper bound of the classiﬁer’s error rate using projected primal-dual subgradient descent. Minimizing this bound protects against bias and dependencies in the weak supervision. We ﬁrst show the performance of our framework on binary classiﬁcation tasks then we extend our algorithm to show its performance on multiclass datasets. Our experiments show that our method can train without labels and outperforms other approaches for weakly supervised learning.
PD-1 antibody enhanced anti-tumor efficacy of oxaliplatin against colon cancer in vitro and in vivo

[基金项目] 国家自然科学青年基金资助项目(No. 81602709;81872361);河南省高校重点科研资助项目(No.15A320063, No.16A310022);河南 省骨干青年教师培养计划(No.2016GGJS-105)。 Project supported by the National Natural Science Foundation for Youth Scientists of China (No. 81602709; 81872361), the Key Scientific Research Projects for Higher Education of Henan Province (No. 15A320063, No.16A310022), and the Young Backbone Teachers Fellowship in Henan Province (No.2016GGJS-105) [作者简介] 钟根深(1981-),男,博士,副教授,硕士生导师,主要从事肿瘤生物治疗基础研究,E-mail:zhonggs@xxmu.edu. cn PD-1抗体增强奥沙利铂体内外抗结肠癌的效果
Development and Sensory evaluation of functional probiotic yogurt fortification with Guava pulp

Functional foods to promote gut health because gut is a target for the development of functional foods, because it acts as an interface between the diet and all other body functions. One of the most promising areas for the development of functional food components lies in the use of probiotics and prebiotics to modify the composition and the metabolic activity of the gut micro flora. Probiotic yogurt is defined as a live microbial food ingredient that confers a health benefit on the consumer. Probiotic yogurt fortification with guava pulps, increases the metabolic activities and absorption process of gut flora in intestine, and enhances the sensory properties. Objectives: overall main target of the research work was to developed functional probiotic yogurt, and fortified with guava pulps which is a prebiotic and also a vitamin ‘C’ rich fruits and their sensory evaluations for consumer acceptability. Methodology: live probiotic bacteria powder are used as culture for making probiotic yogurt and 2. Extracted guava pulps from guava fruits and then Probiotic yogurt fortified with guava pulp in 5 different ratios 0%, 10%, 20%, 30% and 40% finally developed functional probiotic yogurt fortification with guava pulps. 9 point hedonic rating scales are used for sensory evaluations. Statistical analysis: The data was collected from different parts were analyzed on the software of SPSS.20 version. Result: there was no significant difference in results fortified with different ratios of guava pulps but showed little better ratios of 30% and 40% guava pulps as comparisons to 10% and 20% ratios of guava pulps. Conclusion: optimization of the desirable properties of the 30 and 40 would increase utilization and acceptance of functional probiotic yogurt fortification with guava pulps.
EUDAIMONIC WELL-BEING Eudaimonic Well-being Around the World: Cross-National Evidence from 166 Countries

As more and more people realize that wealth fails to fully capture the essence of human wellbeing, interest in nonmonetary measures of well-being has intensified. Eudaimonic wellbeing (EWB; i.e., optimal psycho-social functioning) is a largely overlooked aspect of national well-being that has never been examined at the global level. The present study uses data from nearly 1,833,000 respondents recruited probabilistically from 166 countries A u th o r M a n u s c ri p t EUDAIMONIC WELL-BEING 2 This article is protected by copyright. All rights reserved between the years of 2005 and 2017 to construct an index of EWB. EWB demonstrates moderate positive associations with other quality of life indicators (i.e., national life satisfaction, national prosperity, overall quality of life, and GDP), indicating that it captures information not reflected by them. The distribution of EWB at national, regional, and global levels, as well as its global trend, are explored. The study also examines the relationships between EWB and a number of theoretically related individualand country-level variables. Presented are also the results of multi-level modeling including a wide range of predictors.
EFFECT OF PEPPERMINT (MENTHA PIPERITA) POWDER ON PERFORMANCE, GUT MORPHOLOGY AND IMMUNE ORGANS RESPONS OF COCCIDIOSIS INFECTED BROILERS

276 EFFECT OF PEPPERMINT (MENTHA PIPERITA) POWDER ON PERFORMANCE, GUT MORPHOLOGY AND IMMUNE ORGANS RESPONSE OF COCCIDIOSIS INFECTED BROILERS S. M. Hussein Lecturer Dept. Anim. Prod. , Coll. Agric. Eng. Sci., University of Duhok, Duhok, Iraq Corresponding author: Sherzad.hussein@uod.ac ABSTRACT This experiment was performed to find out the effect of peppermint on the performance, gut morphology and immune organs of coccidiosis challenged broilers. A feeding trail was conducted on 320-day-old Ross 308 chicks allocated to 32 floor pens in a 2x4 factorial arrangement. The studied factors were: challenge (Negative or Positive) and feed additive (Control, Peppermint and). On day 8 of age, birds in challenged groups were orally inoculated with Eimeria tenella. On day 35 Eimeria decreased weight (P <.0001) gain and deteriorated feed conversion ratio (P < 0.05). On 24 and 35 days of age, broilers given salinomycin and peppermint had improved weight gain and feed conversion ratio compared to controls (P < 0.05). Significant challenge × additive interactions were observed for weight gain, feed intake, feed conversion ratio villus height, crypt depth and apparent villus surface area on d 24 and d 35. Challenged broilers in salinomycin and peppermint groups had significantly increased villus height and villus height/crypt depth and decreased crypt depth compared to positive control. Challenged birds exhibited significantly longer, wider and larger area of bursa of Fabricius lymphoid follicles compared to non-challenged birds. These results illustrated that, peppermint has high protective efficacy against declining in the performance and gut health of coccidiosis infected broilers.
RACMO2.3p3 on the surface mass and energy budget of the Greenland ice sheet

This study evaluates the impact of a new ::::::: Radiative ::::::: transfer :: in snow and ice albedo and : is ::::: often :: not :::::::: modeled :::::::: explicitly :: in ::::::: regional :::::: climate ::::::: models. ::: In ::: this :::::: study, ::: we ::::::: evaluate :: a :::: new :::::::: englacial : radiative transfer scheme on :: and :::::: assess : the surface mass and energy budget for the Greenland ice sheet in the latest version of the regional climate model RACMO2, version 2.3p3. We also evaluate the modeled (sub)surface temperature and snow melt, as subsurface heating by radiation penetration now occurs :::::: enables ::::::: internal :::::: heating. The results are compared to the previous model version and are evaluated against stake 5 measurements and automatic weather station data of the K-transect and PROMICE projects. In addition, subsurface snow temperature profiles are compared at the K-transect, Summit and southeast Greenland. The surface mass balance is in good agreement with observations, :::: with :: a ::::: mean ::: bias ::: of ::: -31 :::: mm :::: w.e. :::: yr−1 :::::::: (-2.67%), : and only changes considerably with respect to the previous RACMO2 version around the ice margins and in :::: near the percolation zone. Snow melt :::: Melt : and refreezing, on the other hand, are changed more substantially in various regions due to the changed albedo representation, subsurface 10 energy absorption and melt water percolation. Internal heating leads to considerably higher snow temperatures in summer, in agreement with observations, and introduces a shallow layer of subsurface melt. :::::: Hence, ::: this ::::: study ::::: shows ::: the :::::::::::: consequences ::: and :::::::: necessity :: of :::::::: radiative :::::: transfer :: in ::::: snow ::: and ::: ice ::: for ::::::: regional ::::::: climate :::::::: modeling :: of ::: the :::::::: Greenland ::: ice ::::: sheet. :
Wireless Local Area Network Frame Classification to Access Categories based on User Priority

: In recent years wireless interaction plays an important role in the field of communication. For proper communication standards are followed, IEEE 802 standard comprises of family of network that covers physical layer specifications of technologies from Ethernet to wireless . For ease of retransmission and flexibility usually data will be coded and overhead will be added. In this paper, 802.11, a wireless standard frame classification is performed for time critical signals (voice & video) and data signals based on user priority. In this proposed work, it is designed in such a way that incoming data is prioritized and are inserted in Ethernet frames by tagging; then they are mapped to Access Categories (AC). Based on user priorities different queues are formed for every access categories and contention for the channels differential. And also to support Quality of Service (QoS) and Enhanced Distributed Channel Access (EDCA) is used which is based on 802.11e.
Risk Factors and Eneuresis Determinants in

Children more than 4 years old should have a controllable bladder e sphincter so that the child no longer wet the bed. The causes of enuresis include slow inherited or deficient renal system, emotional disorders, namely the feeling of fear when the child has to go out of the room at night, diet or habitual patterns of giving water before bed, and others. The social and psychological impact of enuresis disrupts a child's life. The psychological and social adverse effects that persist due to bedwetting affect the quality of life of children as adults. The research objective to determine the factors that influence and determine the incidence of enuresis in preschool children in Metro City. Research method using quantitative research with crossanalysis used univariate, bivariate and multivariate, using logistic regression tests. RESEARCH RESULTS: The distribution of the frequency of enuresis was 22 (22.2%) of respondents, the most children aged ≥ 5 years were 61 (61.6%), the most sex was female, namely 52 (52.5%) ), there was a history of enuresis i parents, namely 85 (85.9%), there was a history of siblings with enuresis, namely 79 (79.8%), lack of toilet training, namely 52 (52.5%), children who were not their constipation that is equal to 87 (87.9%), children who do not have sleep disorders amounted to 67 (67.7%). There is a relationship between age and the incidence of enuresis with a p-value of 0.003. There is a relationship between parental history and the incidence of enuresis with a p-value of 0.000. There are two variables that are statistically significant and interact with each other, namely age and history of enuresis in the parents. Community service activities are needed to socialize toilet training guides for parents and provide health education on enuresis management with acupressure and moxibustion therapy. This open access article is under the CC–BY-SA license. Risiko dan Determinan Eneuresis pada
Mixed Mullerian Tumors of the Ovaire: A Case Report

Ovarian carcinosarcoma (OSC), also known as mixed mesodermal tumor or mixed müllerian tumor, is a rare ovarian tumor, known to be highly aggressive representing less than 2% of ovarian cancers, it is characterized by the association of a carcinomatous component and a sarcomatous component. It is most often found in the uterus. It is rare to find it in the ovary. It often affects women between the ages of 60 and 70. Five-year survival ranges from 6 to 30%.
Aerobic Biodegradation of Nitroglycerin in a Sequencing Batch Reactor

Biological treatment of nitroglycerin (glycerol trinitrate [GTN]) by a mixed microbial culture was examined under aerobic conditions in a bench‐scale sequencing batch reactor with GTN present as a minor component in the feed. Initial operation demonstrated the resistance of GTN and glycerol dinitrates (GDNs) to microbial attack. The presence of GTN and GDNs adversely affected microbial activity, reflected by erratic mixed liquor suspended solids concentrations and low chemical oxygen demand removal efficiencies. Complete removal of GTN and GDNs was contingent on addition of a GTN‐adapted inoculum. Transient accumulation and subsequent removal of 1,2‐GDN, 1,3‐GDN, and nitrite were measured during individual reaction cycles. Complete mineralization of GTN was confirmed and GDN denitration was the rate limiting step governing GTN mineralization.
Overcoming non-numerical challenges in an engineering numerical methods course

This paper addresses the application of some of the current pedagogical practices in an engineering numerical methods course. The paper describes the course and explains its challenges. It then briefly goes over the theoretical framework and the engineering accreditation requirements which shape its design and development. The course design, its implementation, and observations performed by a third-party research assistant are listed next. In particular, instructional remedies developed in order to improve students’ learning experience are detailed. Lastly, the course instructor and the research assistant discussed some of the improvements and unforeseen student behaviour. Note that the course instructor is a new engineering educator who would like to share his course design, get feedback on the implemented course developments, and in general use this as an opportunity to self-reflect on the changes made to the course and how they can be scaled for other offerings of the course in the future.
Psychosocial Outcomes Associated With ctNA-Based Cancer Screening Test

_________________________________________________________________ 2 ACKNOWLEDGEMENTS______________________________________________________ 3 LIST OF FIGURES____________________________________________________________ 5 Introduction__________________________________________________________________ 6 Materials and Methods_________________________________________________________ 13 Results_____________________________________________________________________ 18 Discussion__________________________________________________________________ 28 Conclusion__________________________________________________________________ 34 References__________________________________________________________________ 36 Appendix A_________________________________________________________________ 39 Appendix B_________________________________________________________________ 43 Appendix C_________________________________________________________________ 49 Appendix D_________________________________________________________________ 53
Spatial Navigation Research in Virtual Reality and Grid Cell Data Analysis Application

Spatial navigation has been one of the most researched areas of neuroscience. By bridging the gap between findings from behavioural studies and neurophysiological experiments, researchers have been able to tap into the underlying mechanisms of navigation, in which ‘grid’ cells have shown to play an important role. We have identified issues in spatial navigation research in regards to the methodology of behavioural studies in humans, and the analysis of neuronal data, and attempted to solve them using technological solutions. First, we suggested Virtual Reality as a tool to improve methodology of spatial navigation research in humans, and attempted to replicate the findings from spatial navigation study in real-world in order to assess its validity. Our findings show that Virtual Reality provides powerful mechanisms in conducting spatial navigation experiments in humans, however has its own implications. Second, we looked into the challenges that arise in the analysis of neuronal (grid cell) data, and implemented a preliminary version of Grid Cell Data Analysis Application. With further developments, such application can serve as a powerful tool in furthering the research on the mechanisms underlying spatial navigation.
The role of climate factors on rock fall occurrence in the Central Italian Alps

The climate in European Alps results from a complex interaction between the Alpine belt and the atmospheric circulation. Recent studies demonstrate that in this area the temperature warmed at a rate more than twice the global average in the last century, and the precipitation increased in the northern sub-region while decreased in the southern sub-region. Changes in climate and weather trends modify the magnitude, intensity, and frequency of climatic events that can trigger landslides and the precursory factors for landslides. In this paper, we apply a statistically base methodology aimed at the identification of a correlation between climate factors and rock fall triggering. The approach is based on the use of two specific climatic factors: the temperature and the rainfall, with different temporal scales. We consider the data in a period ranging from 15 years up to the date of each rock fall event, with the purpose to identify anomalies of the selected climatic factors in the day of occurrence of each slope failure. To assess the presence of anomalies, non-exceedance probability for each climatic factor has been calculated. The methodology has been applied to 50 rock fall events occurred at elevations below 2000 meters. These events have been extracted from a database of more than 300 rock fall events in the Central Italian Alps, from 2009 to 2018. Our results on the whole dataset suggest that the most important triggering factor is the daily rainfall. The dataset has been further divided in different subsets to understand a possible correlation with other site-specific parameters such as elevation, lithology and rock fall volume. Our results confirmed the role of temperature on slope failures with elevation. Foliated rocks seem to be most prone to rock fall occurrence in presence of rainfall anomalies at different temporal scales. Finally, we found that rock fall with a volume larger than 5m show a strong correlation with the cumulative rainfall of the day of each event. SCG-XIII INTERNATIONAL SYMPOSIUM ON LANDSLIDES. CARTAGENA, COLOMBIAJUNE 15th-19th-2020
Adding an Attention Layer Improves the Performance of a Neural Network Architecture for Synonymy Prediction in the UMLS Metathesaurus

Background: Terminology integration at the scale of the UMLS Metathesaurus (i.e., over 200 source vocabularies) remains challenging despite recent advances in ontology alignment techniques based on neural networks. Objectives: To improve the performance of the neural network architecture we developed for predicting synonymy between terms in the UMLS Metathesaurus, specifically through the addition of an attention layer. Methods: We modify our original Siamese neural network architecture with Long-Short Term Memory (LSTM) and create two variants by (1) adding an attention layer on top of the existing LSTM, and (2) replacing the existing LSTM layer by an attention layer. Results: Adding an attention layer to the LSTM layer resulted in increasing precision to 92.38% (+3.63%) and F1 score to 91,74% (+1.13%), with limited impact on recall at 91.12% (−1.42%). Conclusions: Although limited, this increase in precision substantially reduces the false positive rate and minimizes the need for manual curation.