cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Measles Rash Identification Using Residual Deep Convolutional Neural Network
Creators: name: Glock, Kimberly
name: Napier, Charlie
name: Louie, Andre
name: Gary, Todd
name: Gigante, Joseph
name: Schaffner, William
name: Wang, Qingguo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Image and Video Processing (eess.IV)
subject: Machine Learning (cs.LG)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Measles is extremely contagious and is one of the leading causes of vaccine-preventable illness and death in developing countries, claiming more than 100,000 lives each year. Measles was declared eliminated in the US in 2000 due to decades of successful vaccination for the measles. As a result, an increasing number of US healthcare professionals and the public have never seen the disease. Unfortunately, the Measles resurged in the US in 2019 with 1,282 confirmed cases. To assist in diagnosing measles, we collected more than 1300 images of a variety of skin conditions, with which we employed residual deep convolutional neural network to distinguish measles rash from other skin conditions, in an aim to create a phone application in the future. On our image dataset, our model reaches a classification accuracy of 95.2%, sensitivity of 81.7%, and specificity of 97.1%, indicating the model is effective in facilitating an accurate detection of measles to help contain measles outbreaks.
title: Karl Marx: Das Kapital. Kritik der politische Oekonomie. Erster Band. Hamburg: Meissner, 1867. – XII, 784 S.
Creators: name: Glatz, Uwe
Publisher: name: Thüringer Universitäts- und Landesbibliothek
Year: 2018
Subjects: subject: Karl Marx
subject: Ökonomie
subject: 020
subject: 100
subject: 330

description: Thüringer Universitäts- und Landesbibliothek Jena - Objekt des Monats, vol. 05, 2018
Relationship between food insecurity and smoking status among women living with and at risk for HIV in the USA: A cohort study
Creators: name: Ofotokun, I.
name: Turan, J.M.
name: Adimora, A.A.
name: Metsch, L.
name: Sheira, L.A.
name: Tien, P.C.
name: Weiser, S.D.
name: Frongillo, E.A.
name: Riley, E.D.
name: Adedimeji, A.
name: Hahn, J.
name: Wilson, T.E.
name: Merenstein, D.
name: Palar, K.
name: Wentz, E.L.
name: Cohen, M.
Publisher: name: BMJ Publishing Group
Year: 2021

description: Objectives People living with HIV (PLHIV) in the USA, particularly women, have a higher prevalence of food insecurity than the general population. Cigarette smoking among PLHIV is common (42%), and PLHIV are 6-13 times more likely to die from lung cancer than AIDS-related causes. This study sought to investigate the associations between food security status and smoking status and severity among a cohort of predominantly low-income women of colour living with and without HIV in the USA. Design Women enrolled in an ongoing longitudinal cohort study from 2013 to 2015. Setting Nine participating sites across the USA. Participants 2553 participants enrolled in the Food Insecurity Sub-Study of the Women's Interagency HIV Study, a multisite cohort study of US women living with HIV and demographically similar HIV-seronegative women. Outcomes Current cigarette smoking status and intensity were self-reported. We used cross-sectional and longitudinal logistic and Tobit regressions to assess associations of food security status and changes in food security status with smoking status and intensity. Results The median age was 48. Most respondents were African-American/black (72%) and living with HIV (71%). Over half had annual incomes ≤US$12 000 (52%). Food insecurity (44%) and cigarette smoking (42%) were prevalent. In analyses adjusting for common sociodemographic characteristics, all categories of food insecurity were associated with greater odds of current smoking compared with food-secure women. Changes in food insecurity were also associated with increased odds of smoking. Any food insecurity was associated with higher smoking intensity. Conclusions Food insecurity over time was associated with smoking in this cohort of predominantly low-income women of colour living with or at risk of HIV. Integrating alleviation of food insecurity into smoking cessation programmes may be an effective method to reduce the smoking prevalence and disproportionate lung cancer mortality rate particularly among PLHIV.
Monotonicity of quantum relative entropy and recoverability
Creators: name: Berta, Mario
name: Lemm, Marius
name: Wilde, Mark M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: Information Theory (cs.IT)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The relative entropy is a principal measure of distinguishability in quantum information theory, with its most important property being that it is non-increasing with respect to noisy quantum operations. Here, we establish a remainder term for this inequality that quantifies how well one can recover from a loss of information by employing a rotated Petz recovery map. The main approach for proving this refinement is to combine the methods of [Fawzi and Renner, arXiv:1410.0664] with the notion of a relative typical subspace from [Bjelakovic and Siegmund-Schultze, arXiv:quant-ph/0307170]. Our paper constitutes partial progress towards a remainder term which features just the Petz recovery map (not a rotated Petz map), a conjecture which would have many consequences in quantum information theory. A well known result states that the monotonicity of relative entropy with respect to quantum operations is equivalent to each of the following inequalities: strong subadditivity of entropy, concavity of conditional entropy, joint convexity of relative entropy, and monotonicity of relative entropy with respect to partial trace. We show that this equivalence holds true for refinements of all these inequalities in terms of the Petz recovery map. So either all of these refinements are true or all are false.
description: v3: 22 pages, 1 figure, accepted for publication in Quantum Information and Computation
Perceived Neighborhood-Level Drivers of Food Insecurity Among Aging Women in the United States: A Qualitative Study
Creators: name: Adimora, A.A.
name: Whittle, H.J.
name: Ofotokun, I.
name: Tien, P.C.
name: Shieh, J.A.
name: Leddy, A.M.
name: Weiser, S.D.
Publisher: name: Elsevier B.V.
Year: 2021

description: Background: Aging populations in the United States exhibit high rates of food insecurity and chronic illness. Few studies have explored the neighborhood-level drivers of food insecurity among such populations, and how they intersect with experiences of aging. Objective: The aim of this study was to explore how aging women experience food insecurity in the United States, and the neighborhood-level factors that influence these experiences. Design: Semistructured qualitative interviews were conducted to elicit participants’ perceptions of how their neighborhood influenced their experiences with food security and aging. Participants/setting: Thirty-eight food-insecure women aged 50 years and older were purposively sampled from the Northern California, Georgia, and North Carolina sites of the Women's Interagency Human Immunodeficiency Virus Study. Interviews were conducted between November 2017 and July 2018 at the three Women's Interagency Human Immunodeficiency Virus Study sites. Statistical analysis: Three researchers thematically analyzed the data using an inductive–deductive approach. Results: Participants described neighborhood-level drivers of food insecurity that centered around three themes: accessibility of food from traditional food stores, the role of food aid institutions, and the intersection of aging with the food environment. Participants explained that food insecurity was related to limited access to food stores largely due to long distances and poor public transportation in Georgia and North Carolina, and high food prices in Northern California. Most participants described being dependent on food aid programs, but found this difficult due to poor quality food and long wait times. Aging-related issues emerged as a cross-cutting theme, with fatigue, poor strength, and chronic illness amplifying barriers to accessing food. Conclusions: Findings from this study reveal the structural barriers that aging women face in accessing healthy food within their neighborhoods, and how experiences with aging and chronic illnesses exacerbate these barriers. Although future programs should address common neighborhood-level barriers such as the accessibility and affordability of healthy foods, they should also be tailored to aging women and the local context.
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals
Creators: name: Hou, Yimin
name: Jia, Shuyue
name: Lun, Xiangmin
name: Hao, Ziqian
name: Shi, Yan
name: Li, Yang
name: Zeng, Rui
name: Lv, Jinglei
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: Machine Learning (cs.LG)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Towards developing effective and efficient brain-computer interface (BCI) systems, precise decoding of brain activity measured by electroencephalogram (EEG), is highly demanded. Traditional works classify EEG signals without considering the topological relationship among electrodes. However, neuroscience research has increasingly emphasized network patterns of brain dynamics. Thus, the Euclidean structure of electrodes might not adequately reflect the interaction between signals. To fill the gap, a novel deep learning framework based on the graph convolutional neural networks (GCNs) is presented to enhance the decoding performance of raw EEG signals during different types of motor imagery (MI) tasks while cooperating with the functional topological relationship of electrodes. Based on the absolute Pearson's matrix of overall signals, the graph Laplacian of EEG electrodes is built up. The GCNs-Net constructed by graph convolutional layers learns the generalized features. The followed pooling layers reduce dimensionality, and the fully-connected softmax layer derives the final prediction. The introduced approach has been shown to converge for both personalized and group-wise predictions. It has achieved the highest averaged accuracy, 93.06% and 88.57% (PhysioNet Dataset), 96.24% and 80.89% (High Gamma Dataset), at the subject and group level, respectively, compared with existing studies, which suggests adaptability and robustness to individual variability. Moreover, the performance is stably reproducible among repetitive experiments for cross-validation. The excellent performance of our method has shown that it is an important step towards better BCI approaches. To conclude, the GCNs-Net filters EEG signals based on the functional topological relationship, which manages to decode relevant features for brain motor imagery.
title: Albert Einstein - Die Grundlagen der allgemeinen Relativitätstheorie. Leipzig: Verlag von Johann Ambrosius Barth, 1916
Creators: name: Gerth, Kirsten
Publisher: name: Thüringer Universitäts- und Landesbibliothek
Year: 2015
Subjects: subject: Relativitätstheorie
subject: Albert Einstein
subject: 020
subject: 530

description: Thüringer Universitäts- und Landesbibliothek Jena - Objekt des Monats, vol. 4,2015
When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage
Creators: name: Ferrara, Laurent
name: Simoni, Anna
Publisher: name: arXiv
Year: 2020
Subjects: subject: Econometrics (econ.EM)
subject: FOS: Economics and business

description: Alternative data sets are widely used for macroeconomic nowcasting together with machine learning--based tools. The latter are often applied without a complete picture of their theoretical nowcasting properties. Against this background, this paper proposes a theoretically grounded nowcasting methodology that allows researchers to incorporate alternative Google Search Data (GSD) among the predictors and that combines targeted preselection, Ridge regularization, and Generalized Cross Validation. Breaking with most existing literature, which focuses on asymptotic in-sample theoretical properties, we establish the theoretical out-of-sample properties of our methodology and support them by Monte-Carlo simulations. We apply our methodology to GSD to nowcast GDP growth rate of several countries during various economic periods. Our empirical findings support the idea that GSD tend to increase nowcasting accuracy, even after controlling for official variables, but that the gain differs between periods of recessions and of macroeconomic stability.
Path Loss and Shadowing Modeling for Vehicle-to-Vehicle Communications in Terrestrial TV Band
Creators: name: Kryszkiewicz, Pawel
name: Sroka, Pawel
name: Sybis, Michal
name: Kliks, Adrian
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Vehicle platooning is considered as one of the key use cases for vehicle-to-vehicle (V2V) communications. However, its benefits can be realized only with highly reliable wireless transmission. As the 5.9GHz frequency band used for V2V suffers from high congestion, in this paper, we consider the use of the terrestrial TV frequencies for intra-platoon communications. In order to be able to evaluate the potential of the new bands fully, propagation models for V2V communications at such frequencies are needed. Therefore, this paper reports new V2V propagation measurements and their modeling results. Particularly, we propose a Double Slope Double Shadowing model as the most accurate one, based on a comparison of various models using the Bayesian Information Criteria. We also investigate the space-time autocorrelation properties of the shadowing, which turned out to be dependent on the speed of vehicles. The proposed path loss and shadowing model differs from the ones proposed for the 5.9GHz band. Mostly, in favor of the TV band, as shown by, e.g., no statistically significant impact of a blocking car.
Grid-based modelling of low-metallicity red giants utilising individual asteroseismic frequencies
Creators: name: Larsen, Jens Reersted
Publisher: name: Zenodo
Year: 2024

description: We present the modelling of the low-metallicity Kepler red giants KIC 4671239 (Hennes) and KIC 7693833 (Rogue), which have been persistently challenging to characterise in accordance with expectations. We employ a grid-based modelling approach, where the observed stellar parameters are fitted to a grid of stellar models using the BAyesian STellar Algorithm (BASTA). Applying this to singular stars entails creating highly specialised grids suitable for the individual star, enabling detailed modelling. Uniquely for the contemporary work, for the first time within a grid-based modelling framework, is the inclusion of fitting directly to the observed individual frequencies of red giants. We find that the increased level of detail in the specialised grids, combined with the constraints from the individual frequencies, results in age estimates for both stars that align with expectations.
Developers' Privacy Education: A game framework to stimulate secure coding behaviour
Creators: name: Alhazmi, Abdulrahman Hassan
name: Hameed, Mumtaz Abdul
name: Arachchilage, Nalin Asanka Gamagedara
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Software privacy provides the ability to limit data access to unauthorized parties. Privacy is achieved through different means, such as implementing GDPR into software applications. However, previous research revealed that the lack of poor coding behaviour leads to privacy breaches such as personal data breaching. Therefore, this research proposes a novel game framework as a training intervention enabling developers to implement privacy-preserving software systems. The proposed framework was empirically investigated through a survey study (with some exit questions), which revealed the elements that should be addressed in the game design framework. The developed game framework enhances developers' secure coding behaviour to improve the privacy of the software they develop.
description: 10
Restriction of HIV-1 infection in sickle cell trait
Creators: name: Wang, S.
name: Anastos, K.
name: Diaz, S.
name: Lassiter, H.
name: Nouraie, M.
name: Kempf, M.-C.
name: Afangbedji, N.
name: Khan, J.
name: Rana, S.
name: Ammosova, T.
name: Nekhai, S.
name: Fischl, M.
name: Weitzmann, M.N.
name: French, A.L.
name: Kassaye, S.
name: Ahmad, A.
name: Kumari, N.
name: Gange, S.
name: Lazar, J.
name: Nixon, D.F.
name: De Mulder Rougvie, M.
name: Houston, P.E.
name: Taylor, J.G.
name: Adimora, A.A.
Publisher: name: American Society of Hematology
Year: 2021

description: Patients with sickle cell disease (SCD) have a lower risk for HIV-1 infection. We reported restriction of ex vivo HIV-1 infection in SCD peripheral blood mononuclear cells (PBMCs) that was due, in part, to the upregulation of antiviral, inflammatory, and hemolytic factors, including heme oxygenase-1 (HO-1). Here, we investigated whether individuals with sickle cell trait (SCT), who develop mild hemolysis, also restrict HIV-1 infection. Ex vivo infection of SCT PBMCs exhibited an approximately twofold reduction of HIV-1 replication and lower levels of HIV-1 reverse transcription products, 2-long terminal repeat circle, HIV-1 integration, and gag RNA expression. SCT PBMCs had higher HO-1 messenger RNA (mRNA) and protein levels and reduced ribonucleotide reductase 2 (RNR2) protein levels. HO-1 inhibition by tin porphyrin eliminated ex vivo HIV-1 restriction. Among Howard University clinic recruits, higher levels of HO-1 and RNR2 mRNA and lower HIV-1 env mRNA levels were found in SCT individuals living with HIV-1. To determine the population-level effect of SCT on HIV-1 prevalence, we assessed SCT among women living with HIV (WLH) in the WIHS (Women InteragencyHIV-1 Study). Among WIHS African-American participants, the prevalence of SCT was lower among women with HIV compared with uninfected women (8.7% vs 14.2%; odds ratio, 0.57; 95% confidence interval, 0.36-0.92; P = .020). WIHS WLH with SCT had higher levels of CD4+/CD8+ ratios over 20 years of follow-up (P = .003) than matched WLH without SCT. Together, our findings suggest that HIV-1 restriction factors, including HO-1 and RNR2, might restrict HIV-1 infection among individuals with SCT and limit the pathogenicity of HIV.
Asymptotics for Sparse Exponential Random Graph Models
Creators: name: Yin, Mei
name: Zhu, Lingjiong
Publisher: name: arXiv
Year: 2014
Subjects: subject: Probability (math.PR)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: We study the asymptotics for sparse exponential random graph models where the parameters may depend on the number of vertices of the graph. We obtain exact estimates for the mean and variance of the limiting probability distribution and the limiting log partition function of the edge-(single)-star model. They are in sharp contrast to the corresponding asymptotics in dense exponential random graph models. Similar analysis is done for directed sparse exponential random graph models parametrized by edges and multiple outward stars.
description: 20 pages
STATE OF THE ART REVIEW ON THE PROPERTIES OF SUSTAINABLE CONCRETE USING HYBRID FIBERS
Creators: name: Khoso, Salim
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 400504
subject: Construction engineering
classificationCode: 400505
subject: Construction materials
classificationCode: 400510
subject: Structural engineering

description: A wide variety of composite materials are being produced by several industries in the shape of sheets, structural profiles, sandwich panels, planks, reinforcing bars just to name a few. Among other fiber shapes, chopped fibers have been found more effective and quite suitable in improving the mechanical properties of concrete composites mixed with various recycled supplementary cementitious materials (SCMs) such as fly ash, silica fume and blast furnace slag generated by industrial waste. Utilization of such waste materials from industries can help in preparing sustainable and economical concrete along with fibers as strengthening materials. Since fibers and industrial waste are available in abundance and at a relatively lower cost, they can be easily incorporated into fresh and hardened concrete which could improve concrete properties such as compression, tension, flexure and shear,. Considering the availability of various fiber-reinforced materials and their effectiveness in concrete composite, an extensive review of the experimental work carried out by numerous studies has been presented in this article. Experimental techniques, parameters considered, and results of these investigations are discussed in detail. The presence of fibers delays the development of cracks and make the concrete more durable, whereas, the recycled or supplementary materials are beneficial in enhancing the overall concrete strength up to a considerable amount when compared to the traditional cement concrete.
title: Max Planck: Über Gleichgewichtszustände isotroper Körper in verschiedenen Temperaturen. München: Ackermann, 1880
Creators: name: Gerth, Kirsten
Publisher: name: Thüringer Universitäts- und Landesbibliothek
Year: 2018
Subjects: subject: Theoretische Physik
subject: Mechanik
subject: Max Planck
subject: 020
subject: 530

description: Thüringer Universitäts- und Landesbibliothek Jena - Objekt des Monats, vol. 4,2018
Monatractides angulatus Walter 1928
Creators: name: Pešić, Vladimir
name: Chatterjee, Tapas
name: Bordoloi, Sabitry
Publisher: name: Zenodo
Year: 2010
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Trombidiformes
Torrenticolidae
Monatractides
Monatractides angulatus

description: Monatractides angulatus (Walter, 1928)
Records from the study area: West Bengal, Punjab—“ Atractides angulata “ Walter (1928); “ Torrenticola angulatus “ Prasad (1974).
Material compared: NHMB: 3302 Atractides angulatus Walter, Ƥ, labelled as " Typus " XX/89, Vorder-Indien, coll. Chappuis; 3304 Atractides angulatus Walter, Ƥ, Dardjiling?, coll. Chappuis? XX/X/18.
Remarks: This species belongs to the Monatractides macroporus (K. Viets, 1935) species-complex, characterized by the presence of an anteriorly slender and elongated Cx-1, a relatively short medial suture line of Cx-2+ 3 in both sexes, and a narrower capitular bay (for a discussion on the M. macroporus speciescomplex, see Pešić & Smit 2009b). Monatractides angulatus is known from a single female specimen, and differs in the shape of capitular bay which proximal end is rectangular (Lundblad 1969). However, at the present state of knowledge, females of this species-complex cannot be identified. Understanding the taxonomic position of this is not possible without finding male and additional material from the locus typicus area.
Habitat: Mountain streams.
Distribution: India.
description: Published as part of Pešić, Vladimir, Chatterjee, Tapas & Bordoloi, Sabitry, 2010, A checklist of the water mites (Acari: Hydrachnidia) of India, with new records and description of one new species, pp. 1-54 in Zootaxa 2617 (1) on page 13, DOI: 10.11646/zootaxa.2617.1.1, http://zenodo.org/record/197964
title: Karl Nierendorf: Staatliches Bauhaus Weimar 1919 - 1923. Weimar, München: Bauhausverlag, 1923
Creators: name: Gerth, Kirsten
Publisher: name: Thüringer Universitäts- und Landesbibliothek
Year: 2019
Subjects: subject: Bauhaus
subject: Architektur
subject: 020
subject: 690

description: Thüringer Universitäts- und Landesbibliothek Jena - Objekt des Monats, vol. 4,2019
Ultrasound-assisted extraction and (U)HPLC-DAD-ESI-MSn analysis of phenolic compounds from black chokeberries cultivated in Turkey
Creators: name: Öztürk, Aysun
name: Steingass, Christof B.
name: Schweiggert, Ralf
name: Carle, Reinhold
name: Yemiş, Oktay
name: Erşan, Sevcan
Publisher: name: Journal of Applied Botany and Food Quality
Year: 2023

description: Phenolic compounds from two black chokeberry cultivars 'Viking' and 'Nero' grown in Turkey were analyzed by high performance liquid chromatography-diode array detection-electrospray ionization-multistage mass spectrometry (HPLC-DAD-ESI-MSn). In the first step, five different solvents were compared to efficiently isolate phenolic compounds by ultrasound-assisted extraction. Three sequential extraction cycles using methanol/formic acid (95:5, v/v) sufficed for exhaustive extraction of anthocyanins, hydroxycinnamic acid derivatives, and flavonol glycosides from black chokeberry within merely 60 sec. A total of four cyanidin glycosides, two hydroxycinnamic acids, and five quercetin mono- and diglycosides were detected in both cultivars. Total anthocyanins (425-438 mg/100 g of fresh weight, FW), hydroxycinnamic acids (173-179 mg/100 g of FW), and flavonols (37 mg/100 g of FW) were determined in a similar range for both cultivars. Complementary, a rapid ultra-high performance liquid chromatography (UHPLC)-DAD method was developed, permitting a high throughput screening of chokeberry phenolics. The established methods were validated considering extraction recoveries, intra- and inter-day repeatability, calibration linearity, limit of detection (LOD), and limit of quantitation (LOQ). UHPLC provided a 2.3 times faster compound separation (30 min) and less solvent consumption than HPLC (68 min).
description: Journal of Applied Botany and Food Quality, Vol. 96 (2023): Journal of Applied Botany and Food Quality
title: Flugblatt aus dem Ersten Weltkrieg (A.P.30.): Irrlicht. Sieg. Deutsches Volk
Creators: name: Hammer, Angela
Publisher: name: Thüringer Universitäts- und Landesbibliothek
Year: 2014
Subjects: subject: Erster Weltkrieg
subject: 020
subject: 943

description: Thüringer Universitäts- und Landesbibliothek Jena - Objekt des Monats, vol. 08, 2014
The Relationship Between Sleep Apnoea and Psychological Distress
Creators: name: Grayling, Jennifer
Publisher: name: Lancaster University
Year: 2024

description: The reciprocal relationship between sleep and mental health is
 well-recognised. Yet, research in this area remains scarce, and as a
 result, clinical practice often overlooks this association, particularly
 in the context of sleep apnoea. Therefore, this thesis aimed to clarify
 the psychological implications of sleep apnoea and explore the barriers to
 treatment from a psychological perspective. Section 1 is a scoping review
 of the current literature documenting an association between sleep apnoea
 and suicidality. Twenty-four papers were reviewed. Articles were included
 irrespective of quality, to provide a broad overview of the evidence-base.
 The review suggested an increased risk of suicidality in individuals with
 sleep apnoea and suggested preliminary evidence for the importance of
 continuous positive airway pressure (CPAP) in reducing this. The findings
 underscored the need for clinical psychologists to monitor mental health
 in individuals with sleep apnoea. Additionally, the review emphasised
 current gaps within the literature and provided a focus for future
 research. Section 2 is an empirical research study investigating the
 impact of psychological distress on adherence to CPAP in people with
 Obstructive Sleep Apnoea (OSA). The first 28-days of CPAP usage of 47
 individuals with OSA were monitored. Participants completed questionnaires
 measuring depression, anxiety, stress, and claustrophobia. Regression
 analyses revealed that depression was predictive of both frequency, and
 duration of CPAP usage. The findings suggest the importance of targeting
 psychological distress in interventions designed to improve CPAP
 adherence. However, the small sample size limits the findings; thus,
 future research is necessary. Section 3 is a critical appraisal and
 summary of the review and empirical paper. Ethical issues and challenges
 experienced throughout are discussed, in addition to avenues for future
 research. Consideration is given to the under estimation of sleep, and the
 complex

 relationship that exists between sleep apnoea and psychological distress
 brought to light by this thesis.
CAN Bus: The Future of Additive Manufacturing (3D Printing)
Creators: name: Chin, Jun-Cheng
name: Cultice, Tyler
name: Thapliyal, Himanshu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Additive Manufacturing (AM) is gaining renewed popularity and attention due to low-cost fabrication systems proliferating the market. Current communication protocols used in AM limit the connection flexibility between the control board and peripherals; they are often complex in their wiring and thus restrict their avenue of expansion. Thus, the Controller Area Network (CAN) bus is an attractive pathway for inter-hardware connections due to its innate quality. However, the combination of CAN and AM is not well explored and documented in existing literature. This article aims to provide examples of CAN bus applications in AM.
description: 6 pages
Internal structure and its connection with thermodynamics and dynamics in black holes
Creators: name: Miao, Yan-Gang
name: Yang, Hao
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In general, a finite metric function at the center of a black hole describes a non-singular spacetime but an infinite metric at the center gives a singular spacetime, where the former is associated with convergent Ricci and Kretschmann scalars together with complete radial geodesics, while the latter is related to divergent Ricci and Kretschmann scalars together with incomplete radial geodesics. For the charged black hole in the four-dimensional Einstein-Gauss-Bonnet theory, we find that its metric function is finite at its center in one region of parameters but complex in the other region of parameters. The finite case describes a strange spacetime which presents the Ricci and Kretschmann scalars of a singular spacetime and the radial geodesics of a non-singular spacetime, while the complex case gives rise to the similar situation. We verify that the cosmic censorship conjecture is maintained for the black hole model. Further, we investigate the second-order phase transition, quasinormal modes of perturbation of a test scalar field in the eikonal limit, and shadow radius for the black hole and find that the thermodynamic and dynamic properties depend on the metrics. In this way, we connect the internal structure with the thermodynamics and dynamics for this black hole. Moreover, we compare such a black hole of modified gravity with the Reissner-Nordström black hole of Einstein's general relativity in these thermodynamic and dynamic properties.
description: v1: 17 pages, 9 figures; v2: 20 pages, clarifications and references added; v3: title changed, clarifications and references added; v4: 19 pages, clarifications added; v5: 28 pages, 11 figures, clarifications and references added, final version to appear in Nuclear Physics B
title: Brief Georg Wilhelm Friedrich Hegels (1770–1831) an Friedrich Creuzer (1771–1858) vom 30. Oktober 1819
Creators: name: Glatz, Uwe
Publisher: name: Thüringer Universitäts- und Landesbibliothek
Year: 2015
Subjects: subject: Georg Wilhelm Friedrich Hegel
subject: 020
subject: 100

description: Thüringer Universitäts- und Landesbibliothek Jena - Objekt des Monats, vol. 08,2015
title: Investigating the Coastal Cultural Values of the Turks and Caicos Islands
Creators: name: Whyte, Oshin
name: South Atlantic Environmental Research Institute (SAERI)
Publisher: name: University of Kent
Year: 2023

description: The Turks and Caicos Islands (TCI) is a British Overseas Territory located in the Western Atlantic Ocean that has a rich and diverse culture and history that are intertwined with the coastal landscape, however, there are knowledge gaps in literature and marine spatial planning frameworks on the importance of these landscapes to the local population as well as the cultural values that they invoke. The aims of this project were to determine the coastal areas that have cultural value to the people of the TCI and explore the range of values that are present. 33 semi structured interviews were conducted through a stratified purposeful sampling process aimed at long- and short-term residents on the islands of Providenciales, North Caicos, Middle Caicos, South Caicos, Grand Turk, and Salt Cay. Coastal Cultural values such as lifestyle, heritage, identity, attachment (to place), wellbeing, and aesthetics were explored, and findings showed that interviewees' idea of self and their heritage are deeply rooted in the coast and the memories that they created in those landscapes. It was also seen that persons are attached to the landscape due to it being aesthetically pleasing and genealogy and generational changes have an impact on the type of values that are expressed as well as areas that are valued. Areas such as Mudjin Harbour, Bambarra Beach, The Creek, Split Rock, Sapodilla Bay, Grace Bay Beach, Hawk's Pond Salina, Six Hill Cay, and The Docks were prominent mentions among interviewees. Overall, coastal cultural values have profound meaning to the people of TCI and understanding their role can enhance landscape management for the current and future generations.
title: August Heinrich Hoffmann von Fallersleben (1798 - 1874): Unpolitische Lieder. Zweiter Theil. Hamburg: Hoffmann und Campe 1841
Creators: name: Frank, Ninon
Publisher: name: Thüringer Universitäts- und Landesbibliothek
Year: 2016
Subjects: subject: 020
subject: 830

description: Thüringer Universitäts- und Landesbibliothek Jena - Objekt des Monats, vol. 08,2016
HIV in the USA: priorities for the new administration
Creators: name: Adimora, A.A.
name: Beyrer, C.
name: Mayer, K.
name: Sullivan, P.
Publisher: name: Lancet Publishing Group
Year: 2020

description: President-elect Joe Biden and Vice President-elect Kamala Harris were elected at an extraordinary moment in US history, with the COVID-19 pandemic surging, severe social and economic strain, and a reckoning over racial injustice. COVID-19 has revealed the structural weaknesses of the US health-care system and our millions of uninsured and underinsured people. Health disparities evident in the US HIV epidemic were replicated by COVID-19 with startling speed and severity, disproportionately affecting Black, Latinx, and Indigenous communities, the poor, the unstably housed, the imprisoned, and those at the social margins. Responding to the COVID-19 pandemic is an urgent priority for the new administration. Responding to the HIV epidemic in the USA should be as well.
Investigation of Enhanced H2 Production from Municipal Solid Waste Gasification via Artificial Neural Network with Data on Tar Compounds
Creators: name: Khoso, Salim
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 400401
subject: Carbon capture engineering (excl. sequestration)
classificationCode: 400402
subject: Chemical and thermal processes in energy and combustion
classificationCode: 400410
subject: Wastewater treatment processes
classificationCode: 400411
subject: Water treatment processes

description: An artificial neural network (ANN) is a biologically inspired computational technique that imitates the behavior and learning process of the human brain. In this study, ANN technique was applied to assess the gasification of municipal solid waste (MSW) with the aim of enhancing the H2 production. The experiments were conducted using a horizontal tube reactor under different parameters: temperatures, MSW loadings, residence times, and equivalence ratios. The input and output variables (released gases) were tested and trained using backpropagation algorithm, and the data distribution by K-fold contrivance. The values of the training (80% data) and validation (20% data) dataset were found satisfactory. The values of regression coefficient (R2) for the training phase were lied between 0.9392 and 0.9991, and 0.9363 and 0.993824 for the testing phase. Whereas; the values of root mean square error (RSME) for the training phase were lied between 0.4111 and 0.8422, and between 0.1476 and 0.7320 for the testing phase. Higher H2 production of 42.1 vol% was produced at the higher reaction temperature of 900 ◦C with LHV of 11.2 MJ/Nm3. According to the tar analysis, the dominant compounds were aromatics (17 compounds) followed by polycyclic aromatic, phenyl, aliphatic, aromatic heterocyclic, polycyclic, and aromatic ketone compounds.
Explicit two-cover descent for genus 2 curves
Creators: name: Hast, Daniel Rayor
Publisher: name: arXiv
Year: 2020
Subjects: subject: Number Theory (math.NT)
subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 11G30, 14G05, 11Y50

description: Given a genus $2$ curve $C$ with a rational Weierstrass point defined over a number field, we construct a family of genus $5$ curves that realize descent by maximal unramified abelian two-covers of $C$, and describe explicit models of the isogeny classes of their Jacobians as restrictions of scalars of elliptic curves. All the constructions of this paper are accompanied by explicit formulas and implemented in Magma and/or SageMath. We apply these algorithms in combination with elliptic Chabauty to a dataset of 7692 genus $2$ quintic curves over $\mathbb{Q}$ of Mordell-Weil rank $2$ or $3$ whose sets of rational points have not previously been provably computed. We analyze how often this method succeeds in computing the set of rational points and what obstacles lead it to fail in some cases.
description: 19 pages
title: Omnes omnia omnino
Creators: name: Kilian, Teresa
Publisher: name: Thüringer Universitäts- und Landesbibliothek
Year: 2018
Subjects: subject: Weltanschauung
subject: 020
subject: 000

description: Thüringer Universitäts- und Landesbibliothek Jena - Objekt des Monats, vol. 8,2018
An iterative technique for solving path planning in identified environments by using a skewed block accelerated algorithm
Creators: name: Dahalan, A'qilah Ahmad
name: Saudi, Azali
Publisher: name: University of Limerick
Year: 2023
Subjects: classificationCode: 49
subject: Mathematical sciences
classificationCode: 40
subject: Engineering

description: Currently, designing path-planning concepts for autonomous robot systems remains a topic of high interest. This work applies computational analysis through a numerical approach to deal with the path-planning problem with obstacle avoidance over a robot simulation. Based on the potential field produced by Laplace's equation, the formation of a potential function throughout the simulation configuration regions is obtained. This potential field is typically employed as a guide in the global approach of robot path-planning. An extended variant of the over-relaxation technique, namely the skewed block two-parameter over relaxation (SBTOR), otherwise known as the explicit decoupled group two-parameter over relaxation method, is presented to obtain the potential field that will be used for solving the path-planning problem. Experimental results with a robot simulator are presented to demonstrate the performance of the proposed approach on computing the harmonic potential forsolving the path-planning problem. In addition to successfully validating pathways generated from various locations, it is also demonstrated that SBTOR outperforms existing over-relaxation algorithms in terms of the number of iterations, as well as the execution time.
BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography Data
Creators: name: Das, Sarkar Snigdha Sarathi
name: Shanto, Subangkar Karmaker
name: Rahman, Masum
name: Islam, Md. Saiful
name: Rahman, Atif
name: Masud, Mohammad Mehedy
name: Ali, Mohammed Eunus
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Smartwatches or fitness trackers have garnered a lot of popularity as potential health tracking devices due to their affordable and longitudinal monitoring capabilities. To further widen their health tracking capabilities, in recent years researchers have started to look into the possibility of Atrial Fibrillation (AF) detection in real-time leveraging photoplethysmography (PPG) data, an inexpensive sensor widely available in almost all smartwatches. A significant challenge in AF detection from PPG signals comes from the inherent noise in the smartwatch PPG signals. In this paper, we propose a novel deep learning based approach, BayesBeat that leverages the power of Bayesian deep learning to accurately infer AF risks from noisy PPG signals, and at the same time provides an uncertainty estimate of the prediction. Extensive experiments on two publicly available dataset reveal that our proposed method BayesBeat outperforms the existing state-of-the-art methods. Moreover, BayesBeat is substantially more efficient having 40-200X fewer parameters than state-of-the-art baseline approaches making it suitable for deployment in resource constrained wearable devices.
description: IMWUT March 2022, Vol 6 Article 8 (UbiComp 2022)
Algorithm for Dynamic Fingerprinting Radio Map Creation Using IMU Measurements
Creators: name: Brida, Peter
name: Machaj, Juraj
name: Racko, Jan
name: Krejcar, Ondrej
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: While a vast number of location-based services appeared lately, indoor positioning solutions are developed to provide reliable position information in environments where traditionally used satellite-based positioning systems cannot provide access to accurate position estimates. Indoor positioning systems can be based on many technologies; however, radio networks and more precisely Wi-Fi networks seem to attract the attention of a majority of the research teams. The most widely used localization approach used in Wi-Fi-based systems is based on fingerprinting framework. Fingerprinting algorithms, however, require a radio map for position estimation. This paper will describe a solution for dynamic radio map creation, which is aimed to reduce the time required to build a radio map. The proposed solution is using measurements from IMUs (Inertial Measurement Units), which are processed with a particle filter dead reckoning algorithm. Reference points (RPs) generated by the implemented dead reckoning algorithm are then processed by the proposed reference point merging algorithm, in order to optimize the radio map size and merge similar RPs. The proposed solution was tested in a real-world environment and evaluated by the implementation of deterministic fingerprinting positioning algorithms, and the achieved results were compared with results achieved with a static radio map. The achieved results presented in the paper show that positioning algorithms achieved similar accuracy even with a dynamic map with a low density of reference points.
Impact of Biological Sex on Immune Activation and Frequency of the Latent HIV Reservoir during Suppressive Antiretroviral Therapy
Creators: name: Baker, C.
name: Kirchherr, J.
name: Margolis, D.M.
name: Eron, J.J.
name: Allard, B.
name: Adimora, A.A.
name: Ghofrani, S.
name: Ramirez, C.
name: James, K.S.
name: Shook-Sa, B.E.
name: Roan, N.R.
name: Read, J.
name: Kuruc, J.D.
name: Stuelke, E.
name: Gay, C.
name: Sridhar, S.
name: Falcinelli, S.D.
name: Dewey, M.G.
name: Mollan, K.R.
name: Archin, N.M.
Publisher: name: Oxford University Press
Year: 2020

description: Background: Persistent HIV infection of long-lived resting CD4 T cells, despite antiretroviral therapy (ART), remains a barrier to HIV cure. Women have a more robust type 1 interferon response during HIV infection relative to men, contributing to lower initial plasma viremia. As lower viremia during acute infection is associated with reduced frequency of latent HIV infection, we hypothesized that women on ART would have a lower frequency of latent HIV compared to men. Methods: ART-suppressed, HIV seropositive women (n = 22) were matched 1:1 to 22 of 39 ART-suppressed men. We also compared the 22 women to all 39 men, adjusting for age and race as covariates. We measured the frequency of latent HIV using the quantitative viral outgrowth assay, the intact proviral DNA assay, and total HIV gag DNA. We also performed activation/exhaustion immunophenotyping on peripheral blood mononuclear cells and quantified interferon-stimulated gene (ISG) expression in CD4 T cells. Results: We did not observe evident sex differences in the frequency of persistent HIV in resting CD4 T cells. Immunophenotyping and CD4 T-cell ISG expression analysis revealed marginal differences across the sexes. Conclusions: Differences in HIV reservoir frequency and immune activation appear to be small across sexes during long-term suppressive therapy.
title: Ernst Haeckel: Anthropogenie oder Entwickelungsgeschichte des Menschen : gemeinverständliche wissenschaftliche Vorträge über die Grundzüge der menschlichen Keimes- und Stammes-Geschichte. Leipzig: Engelmann, 1874
Creators: name: Gerth, Kirsten
Publisher: name: Thüringer Universitäts- und Landesbibliothek
Year: 2019
Subjects: subject: Evolutionstheorie
subject: Ernst Haeckel
subject: 020
subject: 570

description: Thüringer Universitäts- und Landesbibliothek Jena - Objekt des Monats, vol. 08, 2019
The Stable Limit DAHA and the Double Dyck Path Algebra
Creators: name: Ion, Bogdan
name: Wu, Dongyu
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Algebra (math.QA)
subject: Combinatorics (math.CO)
subject: Representation Theory (math.RT)
subject: FOS: Mathematics
subject: 20C08, 05E05

description: We study the compatibility of the action of the DAHA of type GL with two inverse systems of polynomial rings obtained from the standard Laurent polynomial representations. In both cases, the crucial analysis is that of the compatibility of the action of the Cherednik operators. Each case leads to a representation of a limit structure (the +/- stable limit DAHA) on a space of almost symmetric polynomials in infinitely many variables (the standard representation). As an application, we show that the defining representation of the double Dyck path algebra arises from the standard representation of the +stable limit DAHA.
description: v1,2: 35pg; v3: 41 pg, expository changes (including an index of notation)