bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Knowledge, Attitude, and Behavior of Hospitalized Patients' Families in the Effort to Prevent COVID-19
Authors: Indraswari Anies Dewi Wirati , Aziz Abdul , Surboyo Meircurius Dwi Condro 
Published: October 2021

AbstractIntroduction The coronavirus disease-2019 (COVID-19) pandemic has also hit Indonesia. Until September 2020, cases continued to increase with the highest number in Jakarta. The right behavior needs to be followed to prevent COVID-19; this aspect has a strong relationship with knowledge and attitude. This study aimed to analyze the relationship between the knowledge, attitudes, and behavior of hospitalized patients' families in Fatmawati Hospital, Jakarta, in an effort to prevent COVID-19.Materials and Methods A cross-sectional study was conducted on 300 respondents using a self-administered questionnaire to assess their knowledge, attitude, and behavior about COVID-19. The relationship between knowledge, attitude, and behavior was analyzed using the chi-square test with p < 0.05.Results Most of the participants responded to the questionnaire showing a good knowledge, attitude, and behavior related to the efforts to prevent COVID-19. No relationship was present between knowledge, attitude, and behavior in an effort to prevent COVID-19 (p = 0.414 and p = 0.165).Conclusion The hospitalized patients' families exhibited an adequate level of knowledge, attitude, and preventive behaviors toward COVID-19.
A Comparative Study on the Knowledge, Attitude, and Perception toward Hazardous Medical Waste Produced at Home in a Coastal City of Karnataka, India
Authors: Narayan Prajna , Jacob Ankeeta Menona , Shetty Pranav , Singh Preethika 
Published: October 2021

Abstract
Introduction Hazardous healthcare waste produced at home contributes to approximately 0.5% of biomedical waste, and although potentially infectious, is often discarded with other domestic wastes. The study aimed to quantify and compare types and patterns of biomedical waste generated in homes and to assess the knowledge, attitude, and practices regarding biomedical waste among selected urban and rural households in the coastal area of Mangalore city in Karnataka.
Methods A cross-sectional study was conducted in households consisting of rural and urban field practice areas of a tertiary care hospital in coastal Karnataka from November 2017 to February 2018. A pretested semi-structured questionnaire on knowledge, attitude, and practice regarding healthcare waste generated at home was assessed. Qualitative variables of the waste segregation practice, types of biomedical waste, the knowledge, perception, and attitude to practices regarding biomedical waste were expressed in percentages proportions and analyzed using SPSS v.20.
Results Baby diapers were the most common hazardous waste. The number of baby diapers produced daily in rural and urban areas was 32 (42.7%) and 64 (85.3%), respectively. The urban households had better knowledge of possible hazardous healthcare waste at home, 28 (37.33%) compared with 7 (9.3%) in rural households. Seventy-one (94.7%) urban and 49 (65.3%) rural households had a favorable attitude toward the disposal of hazardous domestic biomedical waste.
Conclusion The knowledge, attitudes, and practices regarding hazardous healthcare waste produced at the household level were better among urban households compared with rural households.
Transcutaneous Electrical Nerve Stimulation: A Review of Dental Applications
Authors: Pandita Vaibhav , Ajila Vidya , Babu G. Subhas , Hegde Shruthi , Asan Mohamed Faizal 
Published: October 2021

AbstractTranscutaneous electrical nerve stimulation or TENS is a nonpharmacologic method that is used to alleviate pain from various acute and chronic conditions. TENS works through activation of descending inhibitory neurons of the central nervous system. In dentistry, TENS has applications for pain reduction in temporomandibular disorders and postherpetic neuralgia. It has also been studied for its role in increasing salivary secretion in subjects with xerostomia and as a local anesthetic agent in pediatric dentistry. Its wide applications in the orofacial region make it an important treatment modality. The purpose of the present review was to describe the general principles and its applications in dentistry along with its indications, advantages, and disadvantages. A web-based search was conducted using the keywords “transcutaneous electrical nerve stimulation,” “temporomandibular joint,” “TENS,” “TMJ,” “orofacial pain,” and “Management.” The manuscripts thus obtained were evaluated and used for compiling the present narrative review. The present review focuses on the mechanism of action, applications, and effectiveness of TENS in the management of diseases of the maxillofacial region.
Experiences of Registered Nurses in the Care of COVID-19 Patients: A Phenomenological Study
Authors: Salina Sunil , Leena K.C. 
Published: October 2021

Abstract
Introduction Coronavirus disease 2019 (COVID-19) is the infectious disease caused by the most recently discovered coronavirus. This new virus and disease were unknown before the outbreak began in Wuhan, China, in December 2019. COVID-19 is now a pandemic affecting many countries globally. The aim of this study was to examine the lived experiences of staff nurses who are involved in care of COVID-19 patients during COVID-19 outbreak in Kerala.
Methods Qualitative phenomenological approach was used in this study. Data was gathered from six registered nurses through telephonic interview and video call. Moustakas's structured method of inductive data analysis was used in the study.
Results Three themes were evolved from the current study. They are challenging profession, balancing profession with family, and from uncertainty to satisfaction.
Discussion Findings drew from the current study highlight ever seen areas in health industry. The health workers are the major workforce in any epidemic outbreak. Concern to their health needs to be one of the higher priorities. It is ideal to talk about infection control and use of personal protective equipment. But the practical implication needs to be further explored in connection with infection control.
Cascaded Ni hard mask to create chlorine-based ICP dry etched deep mesas for high-power devices
Authors: Ahmad Habib , Engel Zachary , Zia Muneeb , Weidenbach Alex S , Matthews Christopher M , Zivasatienraj Bill , Bakir Muhannad S , Doolittle W Alan 
Published: October 2021

Abstract
A highly selective cascaded Ni hard mask without stress and film damage issues suitable for the formation of deep vertical mesas for high-power devices is presented. A Cl2/BCl3/Ar inductively coupled plasma dry etch was used to investigate the effect of photoresist, and patterned Ni hard masks applied via four different methods on the etch rate of GaN, and mask selectivity. Strain in the e-beam only deposited Ni films produced low yield due to poor adhesion. Electroplated Ni showed rough mask morphology. Sputtered Ni left damage/chemically reacted layers on the GaN under the mask. A cascaded 50 nm e-beam evaporated Ni followed by 2 µm of sputtered Ni mask method improved the yield to 100%, achieved high selectivity and retained an undamaged GaN surface morphology. The cascaded Ni hard mask successfully achieved GaN mesas up to 13 µm. The dry etching rates of the photoresist, GaN and Ni masks were 250, 275 and 13 nm min−1, respectively giving an etch selectivity of the GaN/Ni hard mask of ∼20, much higher than the etch selectivity of 1.1 for the photoresist. Furthermore, yield of the cascaded Ni hard mask was 100% making it suitable for commercial high-power electronics.
Sustainable internal transport barrier discharge at KSTAR
Authors: Chung J. , Hahn S.-H. , Han H. , Kang J. , Kim H.S. , Jeon Y.M. , Ko J. , Lee K.D. , Ko W.H. , Seo S.H. , Lee J.H. , Juhn J.-W. , Lee M.W. , Woo M.H. , Cho Y.W. , Yoon S.W. 
Published: October 2021

Abstract
We explore the inboard-limited internal transport barrier (ITB) as an alternative advanced operation scenario for KSTAR. This paper presents in detail the progress of the ITB experiment at KSTAR. In an earlier study, the ITB formed in both ion and electron thermal channels, and an early neutral-beam injection (NBI) power of over 4 to 5 MW under a limited L-mode was crucial to ITB access. In the present study, we access the ITB experimentally with about 3 MW of NBI power by using the upper single null (USN), which is an unfavorable H-mode condition with a higher L–H power threshold. Finding an ITB access condition with a lower heating power should allow for a more efficient control of the heat flux and for maintaining stable plasma performance. The key control parameters of the experiment are the vertical position and the location of outboard striking point of the plasma. The shape-control attempts to divert the plasma to a vertically shifted USN with a marginal touch of the inboard limiter so that the plasma can remain in the L-mode at the boundary, while the striking-point control maintains the ITB performance for a longer period of time.
Feasibility study of tokamak, helical and laser reactors as affordable fusion volumetric neutron sources
Authors: Goto T. , Tanaka T. , Tamura H. , Miyazawa J. , Iwamoto A. , Yanagi N. , Fujita T. , Kodama R. , Mori Y. 
Published: October 2021

Abstract
The applicability of tokamak, helical and laser fusion reactors as a volumetric fusion neutron source has been examined using the systems codes that have been utilised for the conceptual design of DEMO and commercial reactors in Japan. This study has clarified the characteristics of reactor-based volumetric neutron sources that can be designed based on the current physics and engineering basis with a reasonable running cost (∼5B Yen/year). Although the achievable neutron flux is 2–3 orders lower than that of accelerator driven neutron sources, tokamak and helical neutron sources can provide a much larger irradiation area for the test of large components. Laser neutron sources have both high operability and tritium breeding capacity. These reactor-based neutron sources also serve as an integrated test bed of the entire reactor system.
Quasiparticle energies and optical response of RbTiOPO4 and KTiOAsO4
Authors: Neufeld S , Schindlmayr Arno , Schmidt W G 
Published: October 2021

Abstract
Many-body perturbation theory based on density-functional theory calculations is used to determine the quasiparticle band structures and the dielectric functions of the isomorphic ferroelectrics rubidium titanyl phosphate (RbTiOPO4) and potassium titanyl arsenide (KTiOAsO4). Self-energy corrections of more than 2 eV are found to widen the transport band gaps of both materials considerably to 5.3 and 5.2 eV, respectively. At the same time, both materials are characterized by strong exciton binding energies of 1.4 and 1.5 eV, respectively. The solution of the Bethe–Salpeter equation based on the quasiparticle energies results in onsets of the optical absorption within the range of the measured data.
Hessian-based toolbox for reliable and interpretable machine learning in physics
Authors: Dawid Anna , Huembeli Patrick , Tomza Michał , Lewenstein Maciej , Dauphin Alexandre 
Published: October 2021

AbstractMachine learning (ML) techniques applied to quantum many-body physics have emerged as a new research field. While the numerical power of this approach is undeniable, the most expressive ML algorithms, such as neural networks, are black boxes: The user does neither know the logic behind the model predictions nor the uncertainty of the model predictions. In this work, we present a toolbox for interpretability and reliability, agnostic of the model architecture. In particular, it provides a notion of the influence of the input data on the prediction at a given test point, an estimation of the uncertainty of the model predictions, and an extrapolation score for the model predictions. Such a toolbox only requires a single computation of the Hessian of the training loss function. Our work opens the road to the systematic use of interpretability and reliability methods in ML applied to physics and, more generally, science.
Low-temperature synthesis of high-quality graphene by controlling the carbon-hydrogen ratio of the precursor
Authors: Huang Jian-Zhi , Ni I-Chih , Hsu Yun-Hsuan , Li Shu-Wei , Chan Yu-Chen , Yang Shin-Yi , Lee Ming-Han , Shue Shau-Lin , Chen Mei-Hsin , Wu Chih-I 
Published: October 2021

Abstract
A furnace-free inductively coupled plasma chemical vapor deposition (ICP-PECVD) system, which does not require sample heating, was used to grow graphene at a temperature below 300 °C. This studies have found that under low-temperature PECVD growth conditions, liquid precursors are more suitable for preparing low-temperature graphene precursors than gaseous precursors.​​​​ Hence, benzene is used as a carbon precursor to obtain a sheet resistance of approximately 1.24 kΩ sq−1. In this research, it was discovered that the carbon-hydrogen ratio of the precursor molecule is an important factor while using PECVD to grow graphene. This factor affects the quality of graphene and the sheet resistance value —when the carbon–hydrogen ratio for the precursor molecule is 1:1, graphene has the high quality and lowest sheet resistance; when it is less than 1:2, the graphene that cannot be deposited has the worst quality and sheet resistance. Furthermore, we found that methane, a precursor often used to deposit graphene, will etch graphene under low-temperature conditions, and that acetylene can be used as a precursor to deposit graphene. It was further proven that the carbon–hydrogen ratio of the precursor molecules in the PECVD process caused the reduction in the graphene temperature.
Seed ecology of European mesic meadows
Authors: Fernández-Pascual Eduardo , Vaz Madalena , Morais Beatriz , Reiné Ramón , Ascaso Joaquín , Afif Khouri Elías , Carta Angelino 
Published: October 2021

AbstractBackground and AimsEuropean mesic meadows are semi-natural open habitats of high biodiversity and an essential part of European landscapes. These species-rich communities can be a source of seed mixes for ecological restoration, urban greening and rewilding. However, limited knowledge of species germination traits is a bottleneck to the development of a competitive native seed industry. Here, we synthesize the seed ecology of mesic meadows.MethodsWe combined our own experimental data with data obtained from databases to create a combined dataset containing 2005 germination records of 90 plant species from 31 European countries. We performed a Bayesian meta-analysis of this dataset to test the seed germination response to environmental cues including scarification, stratification, temperature, alternating temperature and light. We also used multivariate ordination to check the relationship between seed traits (germination and morphology) and species ecological preferences, and to compare the seed ecology of mesic meadows with that of other herbaceous plant communities from the same geographic area.Key ResultsThe seed ecology of mesic meadows is characterized by (1) high seed germinability when compared with other herbaceous plant communities; (2) low correspondence between seed traits and species ecological preferences; and (3) a deep phylogenetic separation between the two major families, Poaceae and Fabaceae. Poaceae produce many light seeds that respond to gap-detecting germination cues (alternating temperatures and light); Fabaceae produce fewer heavy seeds, which need scarification to break their physical dormancy.ConclusionsHigh germinability of meadow seeds will reduce their capacity to form persistent seed banks, resulting in dispersal limitations to passive regeneration. For centuries, human activities have shaped the regeneration of meadows, leading to a loss of seed dormancy and decoupling seeds from seasonal cycles, as has been found in many domesticated species. The same anthropic processes that have shaped semi-natural mesic meadows have left them dependent on continued human intervention for their regeneration, highlighting the importance of active restoration via seed supply.
The power of word-frequency-based alignment-free functions: a comprehensive large-scale experimental analysis
Authors: Cattaneo Giuseppe , Ferraro Petrillo Umberto , Giancarlo Raffaele , Palini Francesco , Romualdi Chiara 
Published: October 2021

AbstractMotivationAlignment-free (AF) distance/similarity functions are a key tool for sequence analysis. Experimental studies on real datasets abound and, to some extent, there are also studies regarding their control of false positive rate (Type I error). However, assessment of their power, i.e. their ability to identify true similarity, has been limited to some members of the D2 family. The corresponding experimental studies have concentrated on short sequences, a scenario no longer adequate for current applications, where sequence lengths may vary considerably. Such a State of the Art is methodologically problematic, since information regarding a key feature such as power is either missing or limited.ResultsBy concentrating on a representative set of word-frequency-based AF functions, we perform the first coherent and uniform evaluation of the power, involving also Type I error for completeness. Two alternative models of important genomic features (CIS Regulatory Modules and Horizontal Gene Transfer), a wide range of sequence lengths from a few thousand to millions, and different values of k have been used. As a result, we provide a characterization of those AF functions that is novel and informative. Indeed, we identify weak and strong points of each function considered, which may be used as a guide to choose one for analysis tasks. Remarkably, of the 15 functions that we have considered, only four stand out, with small differences between small and short sequence length scenarios. Finally, to encourage the use of our methodology for validation of future AF functions, the Big Data platform supporting it is public.Availability and implementationThe software is available at: https://github.com/pipp8/power_statistics.Supplementary informationSupplementary data are available at Bioinformatics online.
Sexual dimorphism in a neuronal mechanism of spinal hyperexcitability across rodent and human models of pathological pain
Authors: Dedek Annemarie , Xu Jian , Lorenzo Louis-Étienne , Godin Antoine G , Kandegedara Chaya M , Glavina Geneviève , Landrigan Jeffrey A , Lombroso Paul J , De Koninck Yves , Tsai Eve C , Hildebrand Michael E 
Published: October 2021

Abstract
The prevalence and severity of many chronic pain syndromes differ across sex, and recent studies have identified differences in immune signalling within spinal nociceptive circuits as a potential mediator. Although it has been proposed that sex-specific pain mechanisms converge once they reach neurons within the superficial dorsal horn, direct investigations using rodent and human preclinical pain models have been lacking.
Here, we discovered that in the Freund’s adjuvant in vivo model of inflammatory pain, where both male and female rats display tactile allodynia, a pathological coupling between KCC2-dependent disinhibition and N-methyl-D-aspartate receptor (NMDAR) potentiation within superficial dorsal horn neurons was observed in male but not female rats. Unlike males, the neuroimmune mediator brain-derived neurotrophic factor (BDNF) failed to downregulate inhibitory signalling elements (KCC2 and STEP61) and upregulate excitatory elements (pFyn, GluN2B and pGluN2B) in female rats, resulting in no effect of ex vivo brain-derived neurotrophic factor on synaptic NMDAR responses in female lamina I neurons. Importantly, this sex difference in spinal pain processing was conserved from rodents to humans. As in rodents, ex vivo spinal treatment with BDNF downregulated markers of disinhibition and upregulated markers of facilitated excitation in superficial dorsal horn neurons from male but not female human organ donors. Ovariectomy in female rats recapitulated the male pathological pain neuronal phenotype, with BDNF driving a coupling between disinhibition and NMDAR potentiation in adult lamina I neurons following the prepubescent elimination of sex hormones in females.
This discovery of sexual dimorphism in a central neuronal mechanism of chronic pain across species provides a foundational step towards a better understanding and treatment for pain in both sexes.
Subcortical–cortical functional connectivity as a potential biomarker for identifying patients with functional dyspepsia
Authors: Yin Tao , Sun Ruirui , He Zhaoxuan , Chen Yuan , Yin Shuai , Liu Xiaoyan , Lu Jin , Ma Peihong , Zhang Tingting , Huang Liuyang , Qu Yuzhu , Suo Xueling , Lei Du , Gong Qiyong , Liang Fanrong , Li Shenghong , Zeng Fang 
Published: October 2021

Abstract
The diagnosis of functional dyspepsia (FD) presently relies on the self-reported symptoms. This study aimed to determine the potential of functional brain network features as biomarkers for the identification of FD patients. Firstly, the functional brain Magnetic Resonance Imaging data were collected from 100 FD patients and 100 healthy subjects, and the functional brain network features were extracted by the independent component analysis. Then, a support vector machine classifier was established based on these functional brain network features to discriminate FD patients from healthy subjects. Features that contributed substantially to the classification were finally identified as the classifying features. The results demonstrated that the classifier performed pretty well in discriminating FD patients. Namely, the accuracy of classification was 0.84 ± 0.03 in cross-validation set and 0.80 ± 0.07 in independent test set, respectively. A total of 15 connections between the subcortical nucleus (the thalamus and caudate) and sensorimotor cortex, parahippocampus, orbitofrontal cortex were finally determined as the classifying features. Furthermore, the results of cross-brain atlas validation showed that these classifying features were quite robust in the identification of FD patients. In summary, the current findings suggested the potential of using machine learning method and functional brain network biomarkers to identify FD patients.
Occurrence of Sexual Reproduction ofDaktulosphaira vitifoliae(Hemiptera: Phylloxeridae) in Southern Brazil and Biology and Fertility Life Table in Grapevine Cultivars
Authors: Andzeiewski S , Oliveira D C , Bernardi D , Botton M 
Published: October 2021

AbstractThe grapevine phylloxera Daktulosphaira vitifoliae (Fitch) is the pest insect of greatest importance in grapevine. The objective of study was to evaluate the occurrence of overwintering eggs in seedlings of ‘Paulsen 1103’ (Vitis berlandieri × Vitis rupestris) and evaluate the biology and fertility life table of D. vitifoliae on five grape cultivars: ‘Bordô’ (Vitis labrusca), ‘Cabernet Sauvignon’ (Vitis vinifera), ‘BRS Lorena’ (Vitis vinifera × Seyval [Seibell 5656-Rayon d’Or]), ‘Magnolia’ (Vitis rotundifolia), and ‘Paulsen 1103’. In the field, overwintering eggs were found to be present in 78% of ‘Paulsen 1103’ seedlings, on the trunk of the seedlings. In the laboratory, phylloxera was found to complete the biological cycle (egg to adult) in roots of ‘BRS Lorena’, ‘Bordô’, and ‘Cabernet Sauvignon’. Nymphs did not complete development on roots of ‘Paulsen 1103’ and ‘Magnolia’, with 100% first instar mortality. Adult females feeding on ‘Bordô’ roots showed the lowest total fecundity (20.9 eggs per female), differing from insects feeding on ‘Cabernet Sauvignon’ roots (207.8 eggs per female). Based on the fertility life table, roots of ‘Cabernet Sauvignon’ provided the best reproduction rate (Ro = 219), intrinsic rate of increase (rm = 0.197 d) and time between generations (T = 21.5 d). The presence of overwintering eggs on the trunk of the rootstock ‘Paulsen 1103’ may promote the survival and dispersal of the insect. Lignified roots of the rootstock ‘Paulsen 1103’ and the cultivar ‘Magnolia’ do not allow the development of D. vitifoliae, with ‘Cabernet Sauvignon’ being the most suitable for the development of the insect.