Miracle-dz/UniFAR-FTUs huggingface dataset:
Stress Detection of Automobile Drivers using Physiological Signals

M. Tech Scholar, Dept. of Electronics and Telecommunication Engineering, Dr. Babasaheb Aambedkar Technical University, Lonere, MaharashtraIndia ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract – Detection of the stress is very important, particularly in the automobile drivers as stress level forms a major factor for the accidents. This also provides information about how different roads and traffic conditions can affect the performance of the automobile drivers. This paper proposed a method to detect the stress levels using physiological signals such as ECG and EMG signals. The steps used involve data collection, renovation of noise, feature extraction and comparison. The data of physiological signals used in this paper were taken from Physionet Database. The results are obtained using MATLAB Simulation environment. Features extracted showed correlation with stress and also high accuracy of 78.57% for 60 seconds, 92.85% for 180 seconds and 92.85% for 360 seconds obtained for the detection.
The achromatic numbers of unitary addition Cayley graphs

A complete coloring of a graph G is a proper vertex coloring such that every pair of distinct colors appears on the ends of some edge. The achromatic number of a graph G, denoted by ψ(G) is the greatest number of colors in such a coloring. Let n be a positive integer greater than 1, Zn is the integer modulo n, Un is a set of all units in Zn. The unitary addition Cayley graph, denoted by Gn or Cay(Zn, Un) is a graph whose vertex set is Zn and vertices u and v are adjacent if and only if u+ v ∈ Un. In this paper, we focus on complete coloring properties of unitary addition Cayley graphs. We also find exact values and bounds of the achromatic numbers of some types of Gn. Moreover, we give examples to illustrate.
The Cuitzeo granitic xenolith: evidence of an Early Miocene magma plumbing system in central Mexico

RMCG | v. 38 | núm. 1 | www.rmcg. unam.mx | DOI: http://dx.doi. org/10.22201/cgeo.20072902e. 2021.1. 1591 Hernández-Bernal, M.S., Corona-Chávez, P., Trujillo-Hernández, N. , Macías-Romo, C. , Morán-Zenteno, D.J., Jiménez-Haro, A. , Poli, S. , 2021, The Cuitzeo granitic xenolith: evidence of an Early Miocene magma plumbing system in central Mexico: Revista Mexicana de Ciencias Geológicas, v. 38, núm. 1, p. 29-42. ABSTRACT
Malignant Gastrointestinal Stromal Tumor: Case Report with Uncommon Presentation and Review of the Literature

Gastrointestinal stromal tumors (GISTs) are rare, making up less than 1% of all gastrointestinal tumors. Each year, approximately 4,000 to 6,000 adults in the United States will be diagnosed with a GIST. However, they are common mesenchymal tumors accounting for 80% of gastrointestinal mesenchymal tumors, as well as comprising 3-5% of all sarcomas and 1% of all gastrointestinal neoplasms. GISTs can occur along any location in the GI tract, but most GISTs are found in the stomach (60%), as well as the jejunum and ileum of the small intestine (20-30%). This case describes a 49-year-old male who presents with a malignant recurrent GIST two years after resection of a primary GIST. GISTs represent a problematic subset of gastrointestinal neoplasms due to the variability of immunohistochemistry and cytogenetics of the tumors across patients. GISTs should always be included in the differential diagnosis of presentation of a gastrointestinal mass. Early detection combined with complete resection of the mass, administration of tyrosine kinase inhibitors, as well as observation for possible recurrence is considered the current standard of care in patients with GIST.
COVID-19 vaccine impact on rates of SARS-CoV-2 cases and post vaccination strain sequences among healthcare workers at an urban academic medical center: a prospective cohort study

Background: COVID-19 vaccine trials and post-implementation data suggest vaccination decreases SARS-CoV-2 infections. Objective: Estimate COVID-19 vaccinations impact on SARS-CoV-2 case rates and viral diversity among healthcare workers (HCW) during a high community prevalence period. Design, Setting, Participants: A prospective cohort study from Boston Medical Center (BMC)s HCW vaccination program, where staff received two doses of BNT162b2 or mRNA-1273. Measurements: PCR-confirmed SARS-CoV-2 cases among HCWs from December 09, 2020 to February 23, 2021. Weekly SARS-CoV-2 rates per 100,000 person-day overall and by time from first injection (1-14 and >14 days) were compared with surrounding community rates. Viral genome sequences from SARS CoV-2 positive samples. Results: SARS-CoV-2 cases occurred in 1.4% (96/7109) of HCWs given at least a first dose and 0.3% (17/5913) of HCWs given both vaccine doses. Adjusted SARS-CoV-2 infection rate ratios were 0.73 (95% CI 0.53-1.00) 1-14 days and 0.18 (0.10-0.32) >14 days from first dose. HCW SARS-CoV-2 cases >14 days from initial dose compared to within 14 days were more often older (46 versus 38 years, p=0.007), Latinx (10% versus 8%, p=0.03), and asymptomatic (48% versus 11%, p=0.0002). SARS-CoV-2 rates among HCWs fell below those of the surrounding community, with a 18% versus 11% weekly decrease respectively (p=0.14). Comparison of 48 SARS-CoV-2 genomes sequenced from post-first dose cases did not indicate selection pressure towards known spike-antibody escape mutations. Limitations: Unable to adjust for infection risk outside of the workplace. Lack follow up on symptoms post SARS-CoV-2 diagnosis. Small number of vaccinated HCW cases. Conclusion: Our results indicate a positive impact of COVID-19 vaccines on SARS-CoV-2 case rates. Post-vaccination isolates did not show unusual genetic diversity or selection for mutations of concern.
Second wave mortality among patients hospitalised for COVID-19 in Sweden: a nationwide observational cohort study

Background During the first pandemic wave, a substantial decline in mortality was seen among hospitalized COVID-19 patients. We aimed to study if the decreased mortality continued during the second wave, using data compiled by the Swedish National Board of Health and Welfare. Method Retrospective nationwide observational study of all patients hospitalized in Sweden between March 1st and December 31st, 2020, with SARS-CoV-2 RNA positivity 14 days before to 5 days after admission and a discharge code for COVID-19. Outcome was 60-day all-cause mortality. Poisson regression was used to estimate the relative risk (RR) for death by month of admission, adjusting for age, sex, socioeconomic data, comorbidity, care dependency, and country of birth. Findings A total of 32 452 patients were included. December had the highest number of admissions/month (n=8253) followed by April (n=6430). The 60-day crude mortality decreased from 24.7% (95% CI, 23.0%-26.5%) for March to 10.4% (95% CI, 8.9%-12.1%) for July-September (as reported previously), later increased to 19.9% (95% CI, 19.1-20.8) for December. RR for 60-day death for December (reference) was higher than those for June to November (RR ranging from 0.74 to 0.89; 95% CI <1 for all months). SARS-CoV-2 variants of concern were only sporadically found in Sweden before January 2021. Interpretation The decreased mortality of hospitalized COVID-19 patients after the first wave turned and increased during the second wave.
CURRENT AND FUTURE USE OF MACHINE AND DEEP LEARNING SYSTEMS

Interest in AI is exploding. The science of developing computer systems to perform tasks normally requiring human intelligence is a broad field that encompasses visual perception, speech recognition, and decision-making. The areas where AI is having the greatest impact on health care include machine learning and deep learning. Machine learning is based upon statistical methods; algorithms are used to process vast amounts of labeled data to find patterns and learn from experience without being specifically programmed to do so. Deep learning is a subfield of machine learning; the multilayered processing structure mimics the human brain with convolutional neural networks, which are capable of learning from unlabelled data in a supervised or an unsupervised manner. Ophthalmology, radiology, and dermatology are at the forefront of image-based diagnosis, which is particularly suited to machine learning techniques. Within ophthalmology, algorithms for diagnosing retinal disease from fundus photographs and, more recently, OCT images are by far the most advanced examples of this digital revolution. The FDA has approved the use of IDx-DR (IDx), an algorithm used to screen patients for diabetic retinopathy, and the imaging and informatics in retinopathy of prematurity system (i-ROP DL, i-ROP consortium) received FDA BY JI-PENG OLIVIA LI, MA(CANTAB), MBBS, FRCOPHTH; JODHBIR S. MEHTA, BSC (HONS), MBBS, PHD, FRCOPHTH, FRCS(ED), FAMS; DANIEL SHU-WEI TING, MBBS (HONS), BSCIMED, FRCOPHTH, MMED(OPHTH), FAMS, PHD(UWA); ASHVIN AGARWAL, MS; RENATO AMBRÓSIO JR, MD, PHD; RICCARDO VINCIGUERRA, MD; MICHAEL ASSOULINE, MD, PHD; DAMIEN GATINEL, MD, PHD; BART JAEKEN, PHD; KENNETH J. HOFFER, MD, FACS; GIACOMO SAVINI, MD; LEONARDO TARONI, MD; AND ROBERT P.L. WISSE, MD, PHD EMERGING AI AND BIG DATA Applications in Ophthalmology
Phosphonopolycarboxylates as Chemical Additives for Calcite Scale Dissolution and Metallic Corrosion Inhibition Based on a Calcium-Phosphonotricarboxylate Organic-Inorganic Hybrid

Misapplication of chemical water treatment inhibition technologies results in the formation of water-formed scale deposits (notably, CaCO3 and BaSO4) that interfere with proper system operation. These are removed by chemical additives through dissolution. Herein, we report the efficient dissolution of CaCO3 at pH 4 by 2-phosphonobutane-1,2,4-tricarboxylic acid (H5PBTC). We also report the identity of the Ca-containing dissolution product, characterized by single-crystal X-ray crystallography and a variety of spectroscopic techniques, as (Ca(H3PBTC)(H2O)2‚2H2O)n. It is the first metal -PBTC complex reported to date. In the structure of polymeric (Ca(H3- PBTC)(H2O)2‚2H2O)n Ca 2+ is seven-coordinated, bound by two phosphonate oxygens, three carboxylate oxygens, and two water molecules. (Ca(H3PBTC)(H2O)2‚2H2O)n was also prepared by designed synthesis by reacting various Ca 2+ sources and H5PBTC. Studies of anticorrosion properties of Ca2+/H3PBTC2- combinations are also reported. Organic phosphonates are used extensively in a plethora of technological applications. 1 In medical and pharmaceutical applica- tions, organic phosphonates are used extensively as regulators of calcium phosphate metabolism 2 and for treatment of calcium deposition diseases.3 Industrial applications include chemical water treatment, 4 dispersion technology, 5 and metallic corrosion control. 6
INFLUENCER M A RK ETING AS A MODERN PHENOMENON CREATING A NEW FRONTIER OF VIRTUA L OPPORTUNITIES

: Social media inﬂuencers are winning over the Internet with their outstanding work and presence. Their opinions have a powerful impact on people, especially on young generation. We can mark them as a modern phenomenon that has seen a huge increase in cooperation with marketing agencies over recent years. More and more people are following such inﬂuencers so that they do not miss out on their content. Brands ﬂock to such inﬂuencers for mentions, reviews and recommendations. Even though inﬂuencer marketing is a relatively new strategy, it continues to be a viable solution for marketers who are willing to think outside the box while building relationships with their target market. The aim of the study is to offer a comprehensive reﬂection on inﬂuencer marketing opportunities and determine the impact of inﬂuencers on consumer behaviour of Generations Y and Z . We wanted to ﬁnd out whether inﬂuencers, who promote products, can attract potential customers and encourage them for purchase, as well as ﬁnd differences between the given consumer generations. In order to meet the objectives of the study, own research was conducted (459 respondents from the Slovak Republic belonging to Generations Y and Z were involved in the inquiry). The research ﬁndings conﬁrm that there are signiﬁcant differences between the above-mentioned consumer generations in the area of impact of inﬂuencers on consumer behaviour, which leads to different marketing opportunities. For statistical processing of the results, we used the Kruskal-Wallis Test, Kolmogorov-Smirnov Test, Fisher’s Exact Test and Dunn’s Test of Contrasts.
Modified gas‐translation model for prediction of gas permeation through microporous organosilica membranes

A modified gas-translation (GT) model was applied for the theoretical analysis of gas permeation through microporous organosilica membranes derived from bis(triethoxysilyl)ethane (BTESE) via a sol–gel method using different water/alkoxide molar ratios. The pore sizes of BTESE-derived membranes were quantitatively determined by normalized Knudsen-based permeance analysis, which was based on a modified-GT model, using experimentally obtained permeances of He, H2, N2, C3H8, and SF6. The pore sizes of BTESE-derived membranes were successfully controlled from 0.65 to 0.46 nm by increasing the H2O/BTESE ratio from 6 to 240. Furthermore, theoretical correlations of all possible pairs of permeance ratios were calculated based on the modified-GT model. The experimental data were in good agreement with the theoretical correlation curves, indicating that the modified-GT model can clearly explain gas permeation mechanisms through microporous membranes, and, thus, can be used to predict the gas permeation properties for these membranes. © 2014 American Institute of Chemical Engineers AIChE J 60: 4199–4210, 2014
Efficient Mechanism to Enhance the Performance of Dynamic Graphs

: Computing shortest paths is important issue in classical graph theory. As there are several algorithms for this issue over the years they have been suggested, primarily to operate memory and/or with static graphs that restrict their usage to several current applications, which rely on graphs becoming highly dynamic. In this paper we introduce a modern effective incremental algorithm that shape shortest distances and paths in dynamic graphs for all-pairs. We test our solution experimentally on many real-world datasets and prove that it knocks the existing algorithms built to solve the same problemsignificantly.
Mars Curiosity Rover Mobility Trends During the First Seven Years

NASA’s Mars Science Laboratory (MSL) Curiosity rover landed on Mars on August 6, 2012. In the seven years between landing and August 6, 2019 (sol 2488), Curiosity has driven 21,318.5 meters over a variety of terrain types and slopes, employing multiple drive modes with varying amounts of onboard autonomy. Curiosity’s drive distances each sol have ranged from its shortest drive of 2.6 centimeters to its longest drive of 142.5 meters, with an average drive distance of 28.9 meters. Real-time human intervention is not possible during Curiosity’s drives due to the latency in uplinking commands and downlinking telemetry. Instead, the operations team relies on Curiosity’s fault protection, Autonomous Navigation, and Visual Odometry software to keep the rover safe during drives. During its first seven years on Mars, Curiosity has attempted 738 drives. While 622 drives ran to completion, 116 drives were prevented or stopped early by Curiosity’s fault protection software. The primary risks to mobility success have been wheel damage, wheel entrapment, progressive wheel sinkage, and the potential for hardware or cable failures that result in an inability to command one or more steer or drive actuators. In this paper, we describe Curiosity’s mobility subsystem, mobility trends over the first 21.3 km of the mission, operational aspects of mobility fault protection, risks to continued mobility success, and risk mitigation strategies.
THE RELATIONSHIP BETWEEN SOCIAL MEDIA AND DISORDERED EATING IN COLLEGE-AGED FEMALE GYMNASTS

While the relationships between media and eating disorders and disordered eating patterns incollege-aged women have been extensively studied (e.g., Bissel, 2004; Grabe & Hyde 2009;Harper & Tiggeman, 2008; Yamamiya, Cash, Melnyk, Posavac, & Posavac, 2005), fewerstudies have been conducted with female athletes. More specifically, limited studies havefocused on the relationship between social media and eating behaviors of athletesparticipating in aesthetic sporting events, even though the highest rates of disordered eatingpatterns occur in sports where female athletes are scored on judges’ opinions (Hausenblas &Carron, 1999; Smolak, Murnen, & Ruble, 2000; Sundgot-Borgen, 1994), and where leanness,thinness, and aesthetic skills and aspects are emphasized (Byrne & McLean, 2002; DiBartolo& Shaffer, 2002). Thus, the current study sought to understand the links among collegegymnasts’ perceptions of body image, disordered eating behaviors, and perceptions ofathletes’ body images presented on social media. Furthermore, the study also explored howcriticism presented on social media relates to disordered eating symptomatology. The studywas conducted via an online survey system by 72 18-25-year-old females who were currentlycompeting or recently competed in club or collegiate gymnastics. Results found significantcorrelations between the severity of critical comments about physical appearance, emotionalreaction to criticism about physical appearance, and disordered eating behavior in instanceswhere the comments were not made on social media, but no correlation was found betweenseverity, emotional reaction, and disordered eating behaviors for comments made on socialmedia.
A Content Analysis of Argumentative Structure in Pre-Service Teachers’ Writing

This study aims to describe the argumentative structure in pre-service teachers’ writing. The model argument structure was based on the adapted Toulmin (1958, 2003) consisting of six elements (i.e., claim, data, counter-argument claim, counter-argument data, rebuttal claim, and rebuttal data). The objects of this study are the writings of the fifth semester pre-service teachers' who, at that moment, were joining an academic writing course. The findings revealed that data dominated the constituent of argumentative structure based on adapted Toulmin’s model, then followed by a claim in the second place. The other structure was also found; however, it moderately in a small amount. The position and the relevancy of the papers were varied. As the implication, this study used as a model of scaffolding for pre-service teachers for giving basic knowledge of writing argumentative writing for students, so they have good skills in argumentation writing
Mitochondria-dependent phase separation of disease-relevant proteins drives pathological features of age-related macular degeneration

Age-related macular degeneration (AMD) damages the retinal pigment epithelium (RPE), the tissue that safeguards photoreceptor health, leading to irreversible vision loss. Polymorphisms in cholesterol and complement genes are implicated in AMD, yet mechanisms linking risk variants to RPE injury remain unclear. We sought to determine how allelic variants in the apolipoprotein E cholesterol transporter modulate RPE homeostasis and function. Using live-cell imaging, we show that inefficient cholesterol transport by the AMD risk-associated ApoE2 increases RPE ceramide, leading to autophagic defects and complement-mediated mitochondrial damage. Mitochondrial injury drives redox state–sensitive cysteine-mediated phase separation of ApoE2, forming biomolecular condensates that could nucleate drusen. The protective ApoE4 isoform lacks these cysteines and is resistant to phase separation and condensate formation. In Abca–/– Stargardt macular degeneration mice, mitochondrial dysfunction induces liquid-liquid phase separation of p62/SQSTM1, a multifunctional protein that regulates autophagy. Drugs that decrease RPE cholesterol or ceramide prevent mitochondrial injury and phase separation in vitro and in vivo. In AMD donor RPE, mitochondrial fragmentation correlates with ApoE and p62 condensates. Our studies demonstrate that major AMD genetic and biological risk pathways converge upon RPE mitochondria, and identify mitochondrial stress-mediated protein phase separation as an important pathogenic mechanism and promising therapeutic target in AMD.
Cork Oak Woodlands on the Edge

‘resource exploitation’ and the ‘development culture’ that has engulfed the Western world can draw on both the Bible and the faith of Christians as well as the disciplined critiques of scientists. It is all very well to say that respectfully watching a pit viper cross a road makes observers ‘enlightened environmentalists’ (p. 171), but this is merely description of a response, not reflexion moving on to prescription. It’s fine to note that an intact mangrove system is 70% more valuable than a shrimp farm (p. 195), but is this an argument? And if it is, what is the argument worth unless Bangladesh, Thailand, Malaysia et al. can be obliged internationally to conserve mangroves? The big need for environmentalists is to know how to assess and how to evaluate. And without the latter, the rest of society can be anti-environment and antiitself. Kricher does not grapple with the problem of making ‘enlightened environmentalists’ effective in society. Kricher discusses ethics (pp. 196–201) as ideas, not as problems with solutions, not as cases in point, not as applications where science has anything distinctive to offer. And all Kricher does, repeatedly, is raise questions. ‘Humanity ought to act in a manner that sustains its planet. It is in our enlightened self-interest to do so. That said, it will likely be an uphill effort’ (p. 200). In fact, Kricher has nothing to commend. He can only analyze and describe. Ethics and justice are related to guilt, and the balance of nature – if it does exist – must be a matter of penalties when it is displaced. While the penalty of 30 million years for recovery may seem theoretical, it would be actual during the time there was no recovery. The difficult task is to attach social and legal penalties to environmental damage, including species reduction. The relationship between science and non-science belief systems especially religious belief system has always been an uneasy one. Even though this book clearly sides with science in disclaiming the notion of the ‘balance of nature’, it is still relevant to people who hold to the Judeo-Christian creation belief and of other religious backgrounds who are interested in the workings of the natural world.